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Lifestyle interventions for the treatment of urinary incontinence in adults

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Abstract

Background

Low cost, non‐invasive alterations in lifestyle are frequently recommended by healthcare professionals or those presenting with incontinence. However, such recommendations are rarely based on good evidence.

Objectives

The objective of the review was to determine the effectiveness of specific lifestyle interventions (i.e. weight loss; dietary changes; fluid intake; reduction in caffeinated, carbonated and alcoholic drinks; avoidance of constipation; stopping smoking; and physical activity) in the management of adult urinary incontinence.

Search methods

We searched the Cochrane Incontinence Group Specialised Register, which contains trials identified from the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE and MEDLINE in process, and handsearching of journals and conference proceedings (searched 3 July 2013), and the reference lists of relevant articles. We incorporated the results of these searches fully in the review. We undertook an updated search of the Specialised Register, which now includes searches of ClinicalTrials.gov and WHO ICTRP, on 27 October 2014; potentially eligible studies from this search are currently awaiting classification.

Selection criteria

Randomised and quasi‐randomised studies of community‐based lifestyle interventions compared with no treatment, other conservative therapies, or pharmacological interventions for the treatment of urinary incontinence in adults.

Data collection and analysis

Two authors independently assessed study quality and extracted data. We collected information on adverse effects from the trials. Data were combined in a meta‐analysis when appropriate. We assessed the quality of the evidence using the GRADE approach.

Main results

We included 11 trials in the review, involving a total of 5974 participants.

Four trials involving 4701 women compared weight loss programmes with a control intervention. Low quality evidence from one trial suggested that more women following weight loss programmes reported improvement in symptoms of incontinence at six months (163/214 (76%) versus 49/90 (54%), risk ratio (RR) 1.40, 95% confidence interval (CI) 1.14 to 1.71), and this effect was sustained at 18 months (N = 291, 75% versus 62%, RR not estimable, reported P value 0.02). No data were available for self‐reported cure and quality of life. One of the weight loss trials involving 1296 women reported very low quality evidence for a reduction in weekly urinary incontinence a mean of 2.8 years after following a lifestyle weight loss intervention that had been compared with a pharmacological weight loss intervention.

Three trials involving 181 women and 11 men compared change in fluid intake with no change. Limited, very low quality evidence suggested that symptom‐specific quality of life scores improved when fluid intake was reduced, although some people reported headaches, constipation or thirst. A further three trials involving 160 women and nine men compared reduction in caffeinated drinks with no change, and one trial involving 42 women compared a soy‐rich diet with soy‐free diet. However, it was not possible to reach any conclusions about the effects of these changes, due to methodological limitations, that resulted in very low quality evidence.

Adverse effects appeared relatively uncommon for all interventions studied.

All included studies had a high or unclear risk of bias across all bias parameters, but most notably for allocation concealment. The main factors for our downgrading of the evidence were risk of bias, indirect evidence (less than 12 months of follow‐up; and not all participants having confirmed urinary incontinence at baseline in some studies), and imprecise results with wide confidence intervals.

Other interventions such as reduction in consumption of sweetened fizzy or diet drinks; reduction in alcohol consumption; avoiding constipation; smoking cessation; restricting strenuous physical forces; or reducing high levels of, or increasing low levels of, physical activity, could not be assessed in this review, as no evidence from randomized controlled trials or quasi‐randomised trials was available.

Authors' conclusions

Evidence for the effect of weight loss on urinary incontinence is building and should be a research priority. Generally, there was insufficient evidence to inform practice reliably about whether lifestyle interventions are helpful in the treatment of urinary incontinence.

PICOs

Population
Intervention
Comparison
Outcome

The PICO model is widely used and taught in evidence-based health care as a strategy for formulating questions and search strategies and for characterizing clinical studies or meta-analyses. PICO stands for four different potential components of a clinical question: Patient, Population or Problem; Intervention; Comparison; Outcome.

See more on using PICO in the Cochrane Handbook.

Plain language summary

Lifestyle interventions for the treatment of urinary incontinence in adults

Background

Urinary incontinence imposes a considerable burden on individuals and on society. Although a range of treatments is available, alterations in lifestyle are frequently recommended for the treatment of urinary incontinence, as they are relatively low in cost and have few unwanted side‐effects. Advice commonly given includes losing weight, changes in diet, adjusting volume of fluid intake, decreasing caffeine or alcohol consumption, avoiding constipation and straining (when passing faeces), stopping smoking, and being more physically active ‐ though restricting excessive heavy activity.

What we wanted to find out

We (a team of Cochrane researchers) wanted to see whether lifestyle interventions have a beneficial effect on any type of urinary incontinence in adults

What we did

We searched the medical literature extensively up to July 2013 for studies that compared the effects of community‐based lifestyle alterations with either no treatment, or other non‐surgical treatments, or medical (medicine) treatment, on urinary incontinence in adults.

What we found

We identified 11 studies, with 5974 participants (nearly all women, only 20 were men), that investigated the effect of lifestyle alterations on urinary incontinence. Four investigated weight loss; one compared a soy‐rich diet with a soy‐free diet; three investigated changes in volume of fluid intake; and three investigated the effect of reducing caffeine intake. We identified no trials that investigated reducing alcohol intake, avoiding constipation and straining, stopping smoking or levels of physical activity.

Findings from four studies suggested that weight loss may reduce incontinence among overweight women and this merits further research. However, it should be noted that a large proportion of the participants contributing to this result were part of two diabetes studies that, while they recorded the effect of weight loss on urinary incontinence, did not record how many participants suffered from it at the start of the study. The duration of the weight loss programmes in these studies ranged from three to 12 months.

A small amount of very low quality evidence from the studies that investigated volume of fluid intake suggested that symptoms of urinary incontinence may reduce when fluid intake is reduced, although some participants in the studies reported headaches, constipation or thirst.

We could not combine the findings from other studies that investigated a similar treatment (e.g. caffeine reduction) because they measured their results in different ways, and/or were of poor quality, which means their results may be unreliable. Much more well‐designed research is needed, so that lifestyle recommendations for the treatment of incontinence can be based on good evidence. At present there is not enough evidence to establish whether any lifestyle treatments work.

Authors' conclusions

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Implications for practice

The available data show that evidence for weight loss as a treatment to reduce urinary incontinence (UI) among morbidly and moderately obese women is building, and might be worth considering as an initial treatment prior to other standard treatments such as pelvic floor muscle training and surgery. However, there is insufficient evidence to inform practice reliably about the effectiveness of lifestyle interventions in general.

Implications for research

The evidence for lifestyle changes for UI is strongest for the effects of weight loss programmes, which should receive research priority. Weight loss interventions involving diet and fluid manipulation require more well designed trials that using representative samples of cases. Priority should also be given to investigating dietary mechanisms for weight loss effects, such as calorie reduction, specific food or drink items and nutrient content as well as the role of physical activity. Where specific evidence of effectiveness exists, as in weight loss, lifestyle interventions should be further evaluated as first‐line treatments.

The review identified a complete lack of randomized trials for lifestyle factors that are generally supposed to increase incontinence, such as the intake of alcohol, sweetened fizzy or diet drinks, smoking, physical forces, or clinical constipation and straining. The widespread use of such lifestyle advice to moderate these factors in the hope of reducing UI, and the observational evidence we identified, suggest a need for further research in these areas.

There is a need for separate consideration of the components of multi‐faceted lifestyle interventions in trials. Combining a number of individual interventions, whose efficacy has not been evaluated independently, in trials makes it impossible to determine which factors affect change. Ideally, the initial research focus should be on those areas where evidence is building (e.g. weight loss) or where healthcare advice often promotes lifestyle interventions in the absence of evidence (e.g. caffeine consumption). The results of such trials could then feed into a multi‐faceted lifestyle intervention trial that would reflect common practice and be rooted in a sound evidence base.

It is expected that more recent trials are likely to have fewer methodological problems. Ongoing improvements in the quality of reporting, and incorporation of consistent use of CONSORT (Consolidated Standards of Reporting Trials, http://www.consort‐statement.org/), should impact on the inclusion of trials in subsequent systematic reviews, ensuring that the most robust evidence contributes to clinical recommendations.

Summary of findings

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Summary of findings for the main comparison. Weight loss compared to control for the treatment of urinary incontinence in adults

Weight loss compared to control for the treatment of urinary incontinence in adults

Patient or population: adults with urinary incontinence
Settings:
Intervention: weight loss
Comparison: control

Outcomes

Illustrative comparative risks* (95% CI)

Relative effect
(95% CI)

No of participants
(studies)

Quality of the evidence
(GRADE)

Comments

Assumed risk

Corresponding risk

Control

Weight loss

Cure rates by patient observation (all UI types) ‐ not reported

Not estimable

Improvement rates by patient observation (all UI types)
Follow‐up: 6 months

544 per 1000

762 per 1000
(621 to 931)

RR 1.4
(1.14 to 1.71)

304
(1 study)

⊕⊕⊝⊝
low1,2

Condition‐specific quality of life
Incontinence Impact Questionnaire. Scale from: 0 to 400. Better quality of life indicated by lower values.
Follow‐up: 3 months

The median condition‐specific quality of life in the control groups was
89 points

The median condition‐specific quality of life in the intervention groups was
52 lower
(95% CI not estimable)

40
(1 study)

⊕⊕⊝⊝
low1,2

Adverse effects
Follow‐up: 3 months

Not estimable

48
(1 study)

The study reported that the intervention had 'few side effects'.

Cure rates by symptom quantification (all UI types)
Follow‐up: 12 months

315 per 1000

350 per 1000
(287 to 431)

RR 1.11
(0.91 to 1.37)

738
(1 study)

⊕⊕⊝⊝
low1,3,4

Improvement rates by symptom quantification (all UI type)
Follow‐up: 12 months

325 per 1000

393 per 1000
(332 to 468)

RR 1.21
(1.02 to 1.44)

1032
(2 studies)

⊕⊕⊝⊝
low1,3,4

Prevalence of weekly UI (all UI type)
Follow‐up: 12 months

286 per 1000

252 per 1000
(223 to 286)

RR 0.88
(0.78 to 1)

2739
(1 study)

⊕⊝⊝⊝
very low1,3,4,5

*The basis for the assumed risk (e.g. the median control group risk across studies) is provided in footnotes. The corresponding risk (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
CI: confidence interval; RR: risk ratio; UI: urinary incontinence

GRADE Working Group grades of evidence
High quality: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: We are very uncertain about the estimate.

1 Risk of bias: We downgraded the evidence by one level because blinding of participants and personnel was unlikely.
2 Indirectness: We downgraded the evidence by one level because of short follow‐up < 12 months
3 Risk of bias: We downgraded the evidence by one level because the authors did not report or provide a description of an allocation concealment method in one study (Phelan 2012).
4 Missing outcome data in 7%‐10% of the participants in one study (Phelan 2012).
Indirectness: We downgraded the evidence by one level because data include a sub‐study of a trial (Phelan 2012) for diabetes that included continent as well as incontinent patients; only 27% had weekly urinary incontinence at baseline.

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Summary of findings 2. Soy‐rich diet compared to control for the treatment of urinary incontinence in adults

Soy‐rich diet compared to control for the treatment of urinary incontinence in adults

Patient or population: adults with urinary incontinence
Settings:
Intervention: soy‐rich diet
Comparison: control

Outcomes

Illustrative comparative risks* (95% CI)

Relative effect
(95% CI)

No of participants
(studies)

Quality of the evidence
(GRADE)

Comments

Assumed risk

Corresponding risk

Control

Soy rich diet

Cure rates by patient observation (all UI types) ‐ not reported

Not estimable

Improvement rates by patient observation (all UI types) ‐ not reported

Not estimable

Condition‐specific quality of life ‐ not reported

Not estimable

Adverse effects ‐ not reported

Not estimable

Cure rates by symptom quantification (all UI types) ‐ not reported

Not estimable

Improvement rates by symptom quantification (all UI types) ‐ not reported

Not estimable

Incontinent episodes per week (all UI types) ‐ not reported

Not estimable

*The basis for the assumed risk (e.g. the median control group risk across studies) is provided in footnotes. The corresponding risk (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
CI: confidence interval; RR: risk ratio; UI: urinary incontinence

GRADE Working Group grades of evidence
High quality: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: We are very uncertain about the estimate.

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Summary of findings 3. Decreasing fluids compared to increasing fluids for the treatment of urinary incontinence in adults

Decreasing fluids compared to increasing fluids for the treatment of urinary incontinence in adults

Patient or population: adults with urinary incontinence
Settings:
Intervention: decreasing fluids
Comparison: increasing fluids

Outcomes

Illustrative comparative risks* (95% CI)

Relative effect
(95% CI)

No of participants
(studies)

Quality of the evidence
(GRADE)

Comments

Assumed risk

Corresponding risk

Increasing fluids

Decreasing fluids

Cure rates by patient observation (all UI types) ‐ not reported

Not estimable

Improvement rates by patient observation (all UI types) ‐ not reported

Not estimable

Condition‐specific quality of life
Follow‐up: 1 weeks

See comment

See comment

Not estimable

69
(1 study1)

⊕⊝⊝⊝
very low2,3,4,5,6

Quality of life improved when fluid intake was decreased but the impact of incontinence on daily life did not differ significantly before or after the treatment

Adverse effects
Follow‐up: 1 weeks

See comment

See comment

Not estimable

93
(2 studies1)

⊕⊝⊝⊝
very low2,3,5,6,7,8

Reported adverse effects include constipation, thirst, headache and concentrated urine with decreasing fluids

Cure rates by symptom quantification (all UI types) ‐ not reported

Not estimable

Improvement rates by symptom quantification (all UI types) ‐ not reported

Not estimable

Incontinent episodes per week (all UI types)
Follow‐up: 1‐4 weeks

See comment

See comment

Not estimable

125
(3 studies9)

⊕⊝⊝⊝
very low2,3,5,6,8,10,11

Decreasing fluid intake significantly reduced incontinent episodes in one study, no difference was found in another study and the results were inconclusive in the other study

*The basis for the assumed risk (e.g. the median control group risk across studies) is provided in footnotes. The corresponding risk (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
CI: confidence interval; UI: urinary incontinence

GRADE Working Group grades of evidence
High quality: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: We are very uncertain about the estimate.

1 Randomised cross‐over trial
2 Risk of bias: We downgraded the evidence by one level because blinding of participants, personnel and outcome assessors was probably not done and could introduce bias.
3 Risk of bias: We downgraded the evidence by one level because the authors did not report or provide a description of an allocation concealment method.
4 Missing outcome data in 18% of participants.
5 Indirectness: We downgraded the evidence by two levels because of short follow‐up < 12 months in all studies and because study participants included both continent and incontinent patients in one study (Hashim 2008)
6 Imprecision: We downgraded the evidence by one level because confidence intervals for relative effect were not estimable.
7 Missing outcome data in 18% of participants in one study (Swithinbank 2005), whereas the other study had no missing outcome data (Hashim 2008).
8 Inconsistency: We downgraded the evidence by one level because becuse of heterogenous interventions.
9 One RCT compared increasing versus decreasing versus maintaining fluid intake (Dowd 1996) and two randomized cross‐over trials comparing increasing versus decreasing fluid intake (Hashim 2008; Swithinbank 2005).
10 Missing outcome data in 45% of participants in the RCT (Dowd 1996), 18% of participants in a cross‐over trial (Swithinbank 2005), whereas the other cross‐over trial had no missing outcome data (Hashim 2008).
11 Low adherence to the protocol was reported in two studies (Dowd 1996;Hashim 2008).

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Summary of findings 4. Caffeine reduction compared to control for the treatment of urinary incontinence in adults

Caffeine reduction compared to control for the treatment of urinary incontinence in adults

Patient or population: adults with urinary incontinence
Settings:
Intervention: caffeine reduction
Comparison: control

Outcomes

Illustrative comparative risks* (95% CI)

Relative effect
(95% CI)

No of participants
(studies)

Quality of the evidence
(GRADE)

Comments

Assumed risk

Corresponding risk

Control

Caffeine reduction

Cure rates by patient observation (all UI types) ‐ not reported

Not estimable

Improvement rates by patient observation (all UI types) ‐ not reported

Not estimable

Condition‐specific quality of life
ICIQ Overactive Bladder Symptoms Quality of Life. Scale from: 25 to 160. Better quality of life indicated by lower values.
Follow‐up: 2 weeks

The mean condition‐specific quality of life in the control groups was
68.36 points

The mean condition‐specific quality of life in the intervention groups was
14.45 lower
(95% CI not estimable)

Not estimable

11
(1 study1)

⊕⊝⊝⊝
very low2,3,4,5,6

Adverse effects ‐ not reported

Not estimable

Cure rates by symptom quantification (all UI types) ‐ not reported

Not estimable

Improvement rates by symptom quantification (all UI types) ‐ not reported

Not estimable

Incontinent episodes per day (all UI types)
Follow‐up: 4 weeks

The mean number of incontinent episodes per day (all UI types) in the control groups was
1.4

The mean number of incontinent episodes per day (all UI types) in the intervention groups was
0.2 lower
(1.02 lower to 0.62 higher)

Not estimable

74
(1 study7)

⊕⊝⊝⊝
very low2,4,5,6,8

*The basis for the assumed risk (e.g. the median control group risk across studies) is provided in footnotes. The corresponding risk (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
CI: confidence interval

GRADE Working Group grades of evidence
High quality: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: We are very uncertain about the estimate.

1 Randomised cross‐over trial; feasibility study.
2 Risk of bias: We downgraded the evidence by one level because blinding of participants, personnel and outcome assessors was probably not done.
3 Risk of bias: We downgraded the evidence by one level because the authors did not report or provide a description of an allocation concealment method.
4 Missing outcome data in > 20% of participants.
5 Indirectness: We downgraded the evidence by two levels because of short follow‐up < 12 months and because study participants included both continent and incontinent patients.
6 Imprecision: We downgraded the evidence by one level because confidence intervals for relative effect were not estimable.
7 A quasi‐randomised controlled trial based on health record numbers.
8 Risk of bias: We downgraded the evidence by one level because allocation concealment was inadequate (quasi‐randomisation based on health record numbers).

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Summary of findings 5. Lifestyle weight loss compared to metformin weight loss for the treatment of urinary incontinence in adults

Lifestyle weight loss compared to metformin weight loss for the treatment of urinary incontinence in adults

Patient or population: adults with urinary incontinence
Settings:
Intervention: lifestyle weight loss
Comparison: metformin weight loss

Outcomes

Illustrative comparative risks* (95% CI)

Relative effect
(95% CI)

No of participants
(studies)

Quality of the evidence
(GRADE)

Comments

Assumed risk

Corresponding risk

Metformin weight loss

Lifestyle weight loss

Cure rates by patient observation (all UI types) ‐ not reported

Not estimable

Improvement rates by patient observation (all UI types) ‐ not reported

Not estimable

Condition‐specific quality of life ‐ not reported

Not estimable

Adverse effects ‐ not reported

Not estimable

Cure rates by symptom quantification (all UI types) ‐ not reported

Not estimable

Improvement rates by symptom quantification (all UI types) ‐ not reported

Not estimable

Prevalence of weekly UI (all UI types)
Follow‐up: mean 2.8 years

482 per 1000

381 per 1000
(337 to 434)

RR 0.79
(0.7 to 0.9)

1294
(1 study)

⊕⊝⊝⊝
very low1,2,3,4

*The basis for the assumed risk (e.g. the median control group risk across studies) is provided in footnotes. The corresponding risk (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
CI: confidence interval; RR: risk ratio

GRADE Working Group grades of evidence
High quality: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: We are very uncertain about the estimate.

1 Risk of bias: We downgraded the evidence by one level because blinding of participants, personnel and outcome assessors was not mentioned and may introduce bias.
2 Risk of bias: We downgraded the evidence by one level because the authors did not report or provide a description of an allocation concealment method.
3 Missing outcome data in 11% of participants.
4 Indirectness: We downgraded the evidence by one level because data come from a sub‐study of a trial (Brown 2006) for diabetes that included continent as well as incontinent patients.

Background

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Description of the condition

Urinary symptoms pose a considerable health care burden with 200 million people suffering from incontinence worldwide (Abrams 2005). The Leicestershire Medical Research Council (MRC) incontinence study, which was the largest comprehensive study of urinary symptoms in a UK general population, reported that 29% of men and 34% of women aged 40 years or over experience clinically significant incontinence or voiding symptoms (McGrother 2004), with substantial impact on quality of life. This represents a financial burden to the National Health Service (NHS) of 1% of its annual budget (Turner 2004). Overall prevalence and service needs will continue to grow as the population ages. 

Lifestyle factors may play a role in either in the improvement, or maintenance, of continence. While published literature about lifestyle factors and incontinence is sparse (Hannestad 2004), alterations in lifestyle are frequently recommended by both healthcare professionals and lay people in the belief that they will decrease urine leakage. For example, advice is commonly given to lose weight, increase or decrease fluid intake, stop using caffeinated drinks, reduce alcohol consumption, or to be more physically active ‐ but restrict excessive heavy activities that put pressure on the pelvic floor, such as aerobics or lifting ‐ to stop smoking and avoid constipation and straining. Such recommendations are rarely based on evidence from clinical trials, but on the basis that there are plausible explanations for why these changes might work, and that they are unlikely to cause harm.

Theoretically, the potential for diet and lifestyle to impact upon incontinence is wider than factors currently identified from a purely empirical viewpoint. It is generally recognised that nutritional and metabolic mechanisms impinge upon all systems of the body including the urinary tract. In practice, incontinence is more commonly observed in patients with specific morbidities such as cerebrovascular disease, dementia, depression and diabetes, and this is supported by scientific evidence (McGrother 2007). In these chronic conditions, diet and lifestyle factors have been identified as probably causal: for example, high saturated fat, low fatty fish/omega‐3 fat, low fibre, high glycaemic index, low vegetable and high salt intakes (Chowdhury 2012; He 2006; Baumgart 2015; Ortega 2012; Skerrett 2010). More generally, the WHO and statutory guidance in the UK and USA currently recognize the importance of poor diet, physical inactivity, excess alcohol and sugary drinks plus smoking in the prevention of such chronic conditions. On this basis, modifications to such diet and lifestyle factors may prevent or reduce bladder dysfunction.

A wide range of interventions and treatments has been used in the management of urinary incontinence, including conservative interventions such as physical therapies: a review by Dumoulin and colleagues broadly supported the recommendation for pelvic floor muscle training in women (Dumoulin 2010); and Herbison and colleagues reported that the evidence tentatively supported the use of vaginal cones in women who find them acceptable (Herbison 2002). In the area of behavioural training, Wallace and colleagues identified that there was limited evidence on the use of bladder training (Wallace 2004), but it was unlikely to do harm. The Lipp 2011 review on anti‐incontinence devices identified insufficient evidence for the use of devices and suggested further well designed trials in the area. The Nabi 2006 review on pharmaceutical interventions, e.g. anticholinergics, reported statistically significant improvements in symptoms, while for surgical interventions, the Ogah 2009 review reported that minimally invasive surgery was as effective as traditional surgery. For absorbent products, Fader and colleagues identified minimal evidence (Fader 2007; Fader 2008), although there was sufficient evidence to support the use of some pads over others. However, this review specifically focuses on the use of lifestyle interventions for the treatment of urinary incontinence.

Description of the intervention

1) Weight loss

Both obesity and urinary incontinence are common problems in women and men. Obese women have higher intra‐abdominal pressure than non‐obese women, and it is thought that this chronically elevated pressure may predispose to incontinence by weakening pelvic floor support structures. In recent years, a number of trials (Hunskaar 2008; Subak 2002; Subak 2009a) including three which specifically reported on weight loss by obese or overweight adults compared to no treatment (Brown 2006a; Subak 2005a; Subak 2009b) have reported an association between increased weight and urinary incontinence.

2) Dietary factors

Dietary factors are recognised as contributing to the maintenance of good health, which is strongly related to low levels of incontinence (McGrother 2007). Indications from epidemiological data suggest that poor diet may play a specific role in urinary incontinence. The prospective Leicestershire MRC Incontinence Study, which examined food items and nutrients in relation to incidence of urinary incontinence, found associations between 1) stress urinary incontinence and low intake of bread plus high saturated fat, zinc and Vitamin B12, and 2) overactive bladder and low intakes of bread, vegetables, chicken, protein, vitamin D and potassium in women (Dallosso 2003; Dallosso 2004a; Dallosso 2004b). Overactive bladder was associated only with high potato intake in men (Dallosso 2004c). The ratio of high saturated fat to polyunsaturated fat intake has also been related to the severity of incontinence in women (Maserejian 2010).

3) Fluids

Worsening of urinary urgency, frequency and incontinence is often reported after consuming caffeine, alcohol, fizzy (carbonated) drinks, sweetened diet drinks (Cartwright 2007), or excessive fluids. In a large prospective cohort study, fizzy drinks was the only type of fluid intake independently associated with incontinence in women (Dallosso 2003), whereas in men, beer intake appeared to be protective (Dallosso 2004c). In a study of urinary symptoms in younger men, caffeine, exercise and tobacco were all associated with worse symptoms in the lower urinary tract (Moon 1997). Caffeine may increase bladder muscle contractility (Creighton 1990), whereas alcohol or excessive fluids may have a diuretic effect, while it has been hypothesised that some sweeteners lead to increased detrusor overactivity (Dasgupta 2006). Sugary fizzy drinks have a high glycaemic index, which worsens control of diabetes and related neuro‐muscular functions. These factors are also recognised as potential hazards to general health, which is predictive of urinary incontinence.

4) Constipation and straining

Some evidence suggests that the chronic straining associated with constipation may be a risk factor in the development of urinary incontinence (Moller 2000), and may increase the latency time of the pudendal nerve (Kiff 1984). This nerve supplies the muscles responsible for pelvic support, which is why it has been suggested that constipation may result in, or worsen, urinary incontinence. Poor diet and lack of fibre in the diet can also lead to constipation.

5) Smoking cessation

Several trials have suggested that smokers are more likely than non‐smokers to report urinary incontinence (Dallosso 2003; Tampakoudis 1995).

6) Physical activity

Prospective cohort evidence suggests that moderate physical activity decreases the risk of onset of urinary incontinence in middle‐aged and older women (Danforth 2007; McGrother 2012; Townsend 2008).

7) Physical forces

It is likely that weakened pelvic floor support structures and raised intra‐abdominal pressure caused by heavy lifting and strenuous activity such as aerobics may affect incontinence. Strenuous activity alone may also lead to incontinence in the short term (Nygaard 2006).

Why it is important to do this review

This review aimed to evaluate the effects of these types of lifestyle interventions on improving incontinence and related symptoms by assessing the evidence available from randomized controlled trials. Such interventions are cheap to deploy, have few side effects, are broadly acceptable and may improve the overall health of adults with and without urinary incontinence. This review will enable us to better understand the effect such interventions have on urinary incontinence.

Objectives

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The objective of the review was to determine the effectiveness of specific lifestyle interventions (i.e. weight loss; dietary changes; fluid intake; reduction in caffeinated, carbonated and alcoholic drinks; avoidance of constipation; stopping smoking; and physical activity) in the management of adult urinary incontinence (UI).

Methods

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Criteria for considering studies for this review

Types of studies

Randomised trials or quasi‐randomised trials (that use some assignment rule such as alternation, or hospital or clinic record number).

Types of participants

Adults with urinary incontinence, diagnosed either by symptom classification (stress UIurinary incontinence (SUI); urgency urinary incontinence (UUI); mixed urinary incontinence (MUI)) or by urodynamic investigation (urodynamic stress incontinence (USI); idiopathic detrusor overactivity (IDO)). Due to the small number of studies available, we made a pragmatic decision after the review commenced, to include all studies if some of the participants had UI. An example would include studies primarily concerned with people with overactive bladder (OAB): OAB describes a clinical problem ‐ that encompasses urgency and urgency UI (usually with frequency and nocturia) ‐ from a symptomatic perspective (Abrams 2002). The review excluded studies where all participants explicitly had overactive bladder without UI (so‐called 'OAB‐dry'). Otherwise we included studies with overactive bladder with the assumption that some participants (regardless of the proportion) had UI (so‐called 'OAB‐wet'). We also made the post hoc decision to include studies that reported prevalence of UI as an outcome. Here the identified studies were from diabetes trials where not all participants had UI at baseline. Given that obesity is amongst the most clearly established risk factors for UI in women (Abrams 2013), we assumed that some study participants had UI at baseline. We excluded studies where all participants were continent at baseline.

Types of interventions

One arm of the trial had to be allocated to a community‐based lifestyle intervention following a standardised (within trial) protocol. Any of the following lifestyle interventions alone or in combination were included: advice given to lose weight, change diet, adapt the amount or type (e.g. caffeine) of fluid intake, and moderate alcohol consumption, as well as advice given to avoid constipation and straining, stop smoking, and be more physically active whilst restricting excessive heavy physical activity.

Comparison interventions included no (active) treatment, other conservative physical therapies such as pelvic floor muscle training (PFMT) or bladder training, or pharmacological therapies.

We did not consider interventions such as leaflet‐only lifestyle advice, without a standardised (within trial) protocol, to be eligible active treatments.

Types of outcome measures

The International Continence Society recommends five outcome categories: the individual's observation (reported symptoms), quantification of symptoms (urine loss), the clinician's observation, and quality of life outcomes, namely, condition‐specific, and generic and socioeconomic measures (Mattiasson 1998).

Primary outcomes

  • Individual report of symptom cure/improvement.

  • Condition‐specific quality of life, e.g. ICIQ‐Urinary Incontinence Form (Avery 2004).

  • Adverse effects.

Secondary outcomes

  • Quantification of symptoms (e.g. diary, bladder chart):

    • cure and improvement rates on diary or pad test in the short term (less than 12 months) and longer term (more than 12 months);

    • number of incontinent episodes in 24 hours.

  • Generic quality of life measures e.g. Short Form 36 (Ware 1993).

  • Socio‐economic measures:

    • costs of interventions;

    • cost‐effectiveness of interventions;

    • resource implications.

  • Non‐specified outcomes judged important when performing the review. As the search identified trials in people with diabetes that reported prevalence of UI at follow‐up, post hoc decisions were made to include prevalence as an outcome only for the assessment of weight loss interventions.

Main outcomes for 'Summary of findings' table

Main outcomes for the 'Summary of findings' table were (in order of importance):

  • symptom cure based on individual report;

  • symptom improvement (including cure) based on individual report;

  • condition‐specific quality of life;

  • adverse effects;

  • symptom cure based on quantification of symptoms;

  • symptom improvement (including cure) based on quantification of symptoms;

  • number of incontinent episodes in 24 hours.

For the assessment of weight loss interventions only, prevalence at follow‐up was included in place of the number of incontinent episodes. Main outcomes for weight loss interventions thus were (in order of importance):

  • symptom cure based on individual report;

  • symptom improvement (including cure) based on individual report;

  • condition‐specific quality of life;

  • adverse effects;

  • symptom cure based on quantification of symptoms;

  • symptom improvement (including cure) based on quantification of symptoms;

  • prevalence of UI at follow‐up.

The timeframe chosen for these outcomes was at 12‐month follow‐up.

Search methods for identification of studies

We did not impose any language or other restrictions on the searches.

Electronic searches

This review drew on the search strategy developed for the Cochrane Incontinence Group. We identified relevant trials from the Cochrane Incontinence Group Specialised Trials Register. For more details of the search methods used to build the Specialised Register please see the Group's module in The Cochrane Library. The register contains trials identified from the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, and MEDLINE in process, and handsearching of journals and conference proceedings. Most of the trials in the Cochrane Incontinence Group Specialised Register are also contained in CENTRAL. The date of the search was 3 July 2013; the results of these searches are fully incorporated into the review.

We completed an additional search of ClinicalTrials.gov on 28 November 2013 ‐ this search is detailed in Appendix 1. The results of this search have not been fully incorporated into the review ‐ we have placed potentially eligible studies into Studies awaiting classification.

We undertook a further updated search of the Specialised Register on 27 October 2014 the results of which we assessed, and added potentially eligible studies to Studies awaiting classification (the Specialised Register now includes searches of ClinicalTrials.gov and WHO ICTRP).

The terms used to search the Incontinence Group Specialised Register were:

(({DESIGN.CCT*} OR {DESIGN.RCT*}) AND ({INTVENT.LIFESTYLE*}) AND {TOPIC.URINE.INCON*})

(All searches were of the keyword field of Reference Manager 2012).

Searching other resources

We searched the references lists of relevant articles.

Data collection and analysis

Selection of studies

Two review authors independently screened eligible studies for inclusion. We resolved any disagreements by discussion. We listed excluded trials with reasons for their exclusion. 

Data extraction and management

Two review authors extracted data from published reports independently,and resolved any disagreements by discussion. Where there was insufficient information in the published report, we planned to seek clarification from the trialists, but this was not required.

For studies where not all participants had UI at baseline, we preferred the data from a subgroup of people with UI, if these were reported separately. If such data were not available, we extracted data from the whole study but recorded the proportion of people with UI at baseline where possible.  

Assessment of risk of bias in included studies

Two review authors evaluated all relevant studies independently for their potential risk of bias.

We undertook assessment of methodological quality using the Cochrane 'Risk of bias' tool to include assessment of: random sequence generation; allocation concealment; blinding of participants and personnel; blinding of outcome assessment; incomplete outcome data; selective reporting; and other sources of bias. We resolved any differences of opinion related to the 'Risk of bias' assessment by discussion. We planned sensitivity analysis using only the data from studies having a low risk of bias, but this was not possible due to lack of data.

Measures of treatment effect

We undertook quantitative synthesis if we identified more than one eligible study. We used a fixed‐effect model to calculate pooled estimates of treatment effect across similar trials with their 95% confidence intervals. We combined dichotomous outcome data using the relative risk (RR) method. We intended to combine continuous outcomes using the Mantel‐Haenszel weighted mean difference (WMD) method, but this was not done because the continuous outcome data available were either not reported as means with standard deviations (SD), or were not reported by more than one study. We calculated a mean difference for individual trials where possible.

We grouped trial data according to the type of incontinence when data were available. We planned other subgroup analyses (e.g. age, gender, severity of symptoms, methodological quality), but could not perform these due to insufficient data. 

We did not perform quantitative synthesis for adverse events, because the included studies reported adverse events narratively and very few numerical data were available; instead we report the findings by a qualitative summary.

Unit of analysis issues

We analyzed trials with a parallel group design on the basis of individuals randomized.

The recommended approach for including cross‐over trials in a meta‐analysis is to perform a paired analysis taking into account the within‐person differences (Elbourne 2002). However, the included cross‐over trials tended to report all measurements after the active treatment period and all measurements after the control treatment period, and then compared these data as if they came from a parallel group trial. The trials also did not publish the mean and standard deviation values (for the within‐person differences) required to perform paired analyses. We therefore presented data from these trials as reported, although this gives rise to a 'unit of analysis' error. These results should therefore be interpreted with caution.

Dealing with missing data

Where possible, we used data based on explicit intention‐to‐treat analysis. If this was unclear, we performed available case analysis. We collected data on dropout rates, and noted reasons for withdrawal and dropout reported by the trialists in the 'Characteristics of included studies' table when these appeared to be treatment‐related.

Assessment of heterogeneity

We assessed heterogeneity across studies by visual inspection of plots of the data, the Chi² test for heterogeneity, and the I² statistic (Higgins 2003). We also explored potential sources of heterogeneity.  

Assessment of reporting biases

We planned to create funnel plots of the intervention effect estimates against their standard errors using Review Manager (RevMan; RevMan 2014), but the number of studies included in the review was not sufficient for us to perform this assessment.

Sensitivity analysis

To assess the potential impact of widening the inclusion criteria of the review to include studies where not all of the participants had UI at baseline, we considered conducting sensitivity analyses in which we would exclude studies with mixed populations (with and without incontinence) from the meta‐analysis of each outcome, however, we could not do this due to the low number of studies available.

Summary of findings table

We summarised results in 'Summary of findings' tables, following the standard methods described in Chapters 11 and 12 of the Cochrane Handbook for Systematic Reviews of Interventions (Schünemann 2011a; Schünemann 2011b). As the recommendation to generate 'Summary of findings' tables is relatively new and became prominent after the publication of the review protocol, we decided to undertake this exercise and determined main outcomes for these tables during the course of the review. We used no external information in the 'Assumed risk' column of the tables.

The overall quality of evidence for each outcome was assessed using the GRADE (Grading of Recommendations Assessment, Development and Evaluation) approach (Guyatt 2008). In GRADE, there are four levels of quality of evidence: high, moderate, low and very low. Randomised studies begin as ‘high’ quality evidence, but may be rated downwards depending upon performance in one or more of five pre‐defined categories: (i) limitation of study design (risk of bias), (ii) inconsistency (heterogeneity), (iii) indirectness, (iv) imprecision, and (v) other considerations (e.g. publication bias).

Results

Description of studies

See: Characteristics of included studies; Characteristics of excluded studies; Characteristics of ongoing studies.

Results of the search

The electronic searches retrieved a total of 338 records, from which we obtained 60 full text articles we assessed for eligibility. We considered 32 reports of 11 trials eligible for inclusion in the review, and identified one report of an eligible ongoing trial (Moholdt 2011).

Additionally, we completed assessment of 1151 records retrieved from ClinicalTrials.gov (28 November 2013) after the main search was fully incorporated into the review ‐ details of four potentially relevant records are given in the Characteristics of studies awaiting classification table (Baker 2011; Heesakkers 2009; Huang 2012; Markland 2013). A further updated search of the Specialised Register on 27 October 2014 retrieved 101 records; we screened these and added three extra studies to the Studies awaiting classification section (Gozukara 2014; Seckin 2011; Wells 2014). The results of these latter two searches (ClinicalTrials.gov and the Specialised Register) have not been fully incorporated into the review. The flow of literature through the assessment process is shown in the PRISMA flowchart (Figure 1).


PRISMA study flow diagram

PRISMA study flow diagram

Included studies

Design

The review included a total of 32 reports of 11 trials: five parallel‐arm randomized controlled trials (RCTs; Brown 2006b; Dowd 1996; Phelan 2012; Subak 2005; Subak 2009), four randomized cross‐over trials (Hashim 2008; Manonai 2006; Swithinbank 2005; Wells 2011), and one quasi‐randomised trial that used health record numbers as the basis for assigning people to interventions (Bryant 2002). We also identified one unpublished RCT with limited information (Miller 2007).

Participants

The included trials involved a total of 5974 participants, who were predominantly female (5954 women and 20 men). The average age (it was unclear if this was a mean or median) of the participants in the included trials ranged from 49 to 58 years, except for two trials with means of 62.7 years (Hashim 2008), and 70.25 years (Dowd 1996).

Sample size varied across trials. The majority of included trials had 60 or fewer participants (seven trials), however, two trials had more than 1000 participants and a further two trials had more than 100 participants Brown 2006b; Phelan 2012; Subak 2009; Swithinbank 2005).

In four trials, all trial participants had UI at baseline:

  • Dowd 1996: 58 women with UI;

  • Subak 2005: 48 women with SUI (6%), stress predominant MUI (40%), UUI (11%) and urgency predominant MUI (43%);

  • Subak 2009: 338 women with SUI (8%), stress predominant MUI (25%), UUI (18%) and urgency predominant MUI (48%);

  • Swithinbank 2005 : 110 women with USI (57%) and IDO (43%).

Four trials included adults with OAB, leading to UUI in some of the trial participants:

  • Bryant 2002: 9 men and 86 women with symptoms of urgency, frequency and/or UUI; 83% had UUI at baseline;

  • Hashim 2008: 11 men and 13 women with OAB; 29% had UUI at baseline;

  • Miller 2007: 60 women with OAB;

  • Wells 2011: 14 women with OAB, with or without UI.

One trial included women with urogenital atrophy, leading to UI in some of the participants:

  • Manonai 2006: 42 women with urogenital atrophy; 61% had SUI and 19% had UUI at baseline.

The other trials that contributed the largest numbers of participants were sub‐studies of large diabetes trials of intensive weight loss programmes, namely the DPP (Diabetes Prevention Program; Brown 2006b), which focused on the prevention of diabetes, and Look AHEAD (Action For Health in Diabetes; Phelan 2012), which evaluated cardiovascular morbidity and mortality among individuals with type 2 diabetes. Not all of the trial participants in these trials had UI at baseline, but reported prevalence of UI at follow‐up:

  • Brown 2006b: 2191 women in a diabetes trial; no baseline measures of UI;

  • Phelan 2012: 2994 women in a diabetes trial; 27% had weekly UI at baseline.

Interventions
Weight loss

Four trials assessed the effect of weight loss programmes on incontinence compared with a control intervention (Brown 2006b; Phelan 2012; Subak 2005; Subak 2009). All weight loss interventions included components of diet and physical activity.

Diet

The review identified one trial that examined dietary factors by comparing a soy‐rich diet with a control diet (Manonai 2006).

Changing volume of fluid intake

Three trials assessed the effect of changing the volume of fluid intake (Dowd 1996; Hashim 2008; Swithinbank 2005).

Type of fluid intake

Three trials assessed the effect of reducing caffeinated drinks (Bryant 2002; Miller 2007; Wells 2011). No relevant trials were identified with respect to alcohol, sweetened fizzy drinks or diet drinks.

Constipation and straining, smoking cessation, physical activity and physical forces

The review identified no randomized trials addressing the effect of constipation and straining, smoking cessation, physical activity or physical forces on urinary incontinence.

Outcome

Quality of reporting of outcomes was generally poor. Not all specified outcomes were reported. Where reported, outcomes were reported using diverse measures, which made the results difficult to interpret. Meta‐analysis was performed only for cure and improvement rates and UI prevalence from the weight loss interventions. All other outcomes were summarised narratively.

Excluded studies

We excluded 27 reports relating to 20 studies after full text screening; see Characteristics of excluded studies. For example, the review excluded studies where lifestyle change was implemented as part of a multi‐faceted intervention, e.g. dietary change and constipation management with pelvic floor muscle training, because in such studies we could not separate the effects of lifestyle change from other factors.

Risk of bias in included studies

The risk of bias of the included trials is summarised in Figure 2 and Figure 3.


Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies

Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies


Risk of bias summary: review authors' judgements about each risk of bias item for each included study

Risk of bias summary: review authors' judgements about each risk of bias item for each included study

Allocation

Four of the 11 included trials described adequate methods of random sequence generation (Brown 2006b; Subak 2005; Subak 2009; Wells 2011), and of these, allocation was adequately concealed in two (Subak 2005; Subak 2009), but was unclear in the other two (Brown 2006b; Wells 2011). One trial used quasi‐randomisation based on health record numbers and was therefore at high risk of selection bias (Bryant 2002). Other trials did not describe the methods used for random sequence generation and allocation concealment and so we judged them to be at unclear risk of bias for this domain.

Blinding

Blinding of participants and personnel was not feasible due to the nature of interventions; this may have biased self‐reported outcomes such as cure, improvement and quality of life. Blinding of outcome assessment should be possible, but was done in only three trials (Phelan 2012; Subak 2005; Subak 2009), and was unclear in the others.

Incomplete outcome data

The percentage of participants followed up and included in analysis varied across trials as shown below:

Of these, four trials were considered to be at low risk of attrition bias (incomplete outcome data) because the trial reports stated that either there were no missing outcome data (Hashim 2008), or described use of imputation (Subak 2009), or confirmation that participants with missing data did not differ from participants with data in terms of demographic and clinical characteristics (Brown 2006b; Subak 2005). One trial (Dowd 1996), in which 26 (45%) of the 58 participants did not complete diaries and were excluded from analysis, was assessed as having a high risk of attrition bias. Reasons for missing outcome data were not clearly described in the other trials, and it was difficult to determine whether the extent of missing data was likely to induce clinically important bias. We therefore judged them to be at unclear risk of bias for this domain.

Selective reporting

All trials reported on the outcomes listed in their methods section but, as there was otherwise insufficient information to permit judgement of low or high risk of bias within published reports, we consider them to be at unclear risk of bias for this domain.

Other potential sources of bias

Two trials assessing fluid intake manipulation (Dowd 1996; Hashim 2008), and caffeine reduction (Miller 2007; Wells 2011), noted that compliance to the trial protocol was relatively poor. Apart from this factor, it was difficult to assess whether any other important risk of bias existed in these and the other trials.

Effects of interventions

See: Summary of findings for the main comparison Weight loss compared to control for the treatment of urinary incontinence in adults; Summary of findings 2 Soy‐rich diet compared to control for the treatment of urinary incontinence in adults; Summary of findings 3 Decreasing fluids compared to increasing fluids for the treatment of urinary incontinence in adults; Summary of findings 4 Caffeine reduction compared to control for the treatment of urinary incontinence in adults; Summary of findings 5 Lifestyle weight loss compared to metformin weight loss for the treatment of urinary incontinence in adults

The results of the included studies, and the quality of the body of evidence for each outcome, are summarised in the 'Summary of findings' tables (summary of findings Table for the main comparison; summary of findings Table 2; summary of findings Table 3; summary of findings Table 4; and summary of findings Table 5).

1) Weight loss by obese or overweight adults versus no active intervention

Description of studies

We identified four trials involving a total of 4701 participants that compared intensive lifestyle weight loss interventions with control or no active interventions in relation to incontinence (Brown 2006b; Phelan 2012; Subak 2005; Subak 2009). All participants in two of the included trials had UI (Subak 2005; Subak 2009). The other two trials were sub‐studies of large diabetes trials (Brown 2006b; Phelan 2012), DPP and Look AHEAD, respectively, and contributed 4315 (92%) of the trial participants to the analysis. These trials did not recruit participants specifically with UI and therefore not all the participants had it. We extracted outcome data on cure and improvement (based on quantification of symptoms) from a subgroup of people with UI in the Look AHEAD trial (N = 738; Phelan 2012), and data on prevalence of UI at follow‐up from the whole (sub‐)study (N = 2994). The trial authors reported the one‐year results of a four‐year intensive weight loss programme; the trialists planned that follow‐up of this trial would run until 2014. The only relevant outcome from the DPP trial was prevalence at follow‐up of UI from the whole (sub‐)study (N = 1321; Brown 2006b); the proportion of people with UI at baseline was unknown (not reported).

All participants in the included trials were female. The weight loss groups were given a reduced‐calorie diet and increased physical activity according to a structured and supervised protocol. The comparison groups received:

Duration of the interventions varied across trials. The intensive intervention phase lasted for:

  • three months (Subak 2005);

  • six months followed by a further randomisation in the intervention group (not the control group) to motivation‐based or skill‐based maintenance programmes for an additional 12 months (Subak 2009);

  • six months with monthly follow‐up thereafter for an average of 2.8 years (Brown 2006b); or

  • 12 months (Phelan 2012).

All four trials reported that women allocated to the intervention group achieved a statistically significant decrease in body weight from baseline compared with those in the control group.

Primary outcomes

Improvement rates based on women's perception (self‐report) were reported in one trial (Subak 2009). The results showed that at six months women in the intervention group were more likely to report improvement than those in the control group at six months (163/214 (76%) versus 49/90 (54%), risk ratio (RR) 1.4, 95% confidence interval (CI) 1.14 to 1.71; Analysis 1.1), 12 months (298 women in analysis, 75% versus 68%, RR not estimable, reported P value 0.2) and 18 months (291 women in analysis, 75% versus 62%, RR not estimable, reported P value 0.02) after randomisation (Analysis 1.2). The reported P values suggest that the differences were statistically significant at six months and 18 months. No information was available on self‐reported cure.

The intervention group also reported that incontinence had less adverse impact on their lives (median Incontinence Impact Questionnaire scores, 40 women in analysis, 37 versus 89, P value 0.01) and was less distressing (median Urogenital Distress Inventory scores, 40 women in analysis, 104 versus 195, P value < 0.0001) compared with the control group in one trial that reported these outcomes (Subak 2005; Analysis 1.3).

Adverse effects appeared to be relatively uncommon, with one trial reporting that the intervention had 'few side effects' (Subak 2005).

Secondary outcomes

Three trials reported cure and improvement rates based on quantification of symptoms (rather than women's perception; Subak 2005; Subak 2009; Phelan 2012; Analysis 1.4; Analysis 1.5; Analysis 1.6; Analysis 1.7). Depending on the trial, length of follow‐up and type of incontinence, cure rates for the intervention group ranged from 7% to 35% and improvement rates ranged from 37% to 64%. In the control group cure rates ranged from0% to 32% of women, while improvement ranged from 0% to 62%.

In general the intervention group had higher rates in terms of both cure and improvement compared with the control group when stress and urgency UI symptoms were considered together ('all UI'). For improvement rates, the difference between the groups was statistically significant at three months (7/19 (37%) versus 0/21 (0%), RR 16.50, 95% CI 1.01 to 270.78; Analysis 1.6), six months (88/214 (41%) versus 20/90 (22%), RR 1.85, 95% CI 1.22 to 2.81; Analysis 1.6) and 12 months (234/583 (40%) versus 146/449 (32%), RR 1.21, 95% CI 1.02 to 1.44; Analysis 1.6), although the effect was attenuated over time and was no longer statistically significant at 18 months (91/197 (46%) versus 36/90 (40%), RR 1.15, 95% CI 0.86 to 1.55; Analysis 1.6). The difference for cure rates did not reach statistical significance (Analysis 1.4).

Looking at different types of UI at each outcome time point, the Subak 2009 trial showed a similar pattern with a tendency towards greater improvement in the intervention group than in the control group among the subgroup of women who reported stress symptoms at six, 12 and 18 months (P values 0.01, 0.01 and 0.92 , respectively) or urgency symptoms at six, 12 and 18 months (P values 0.04, 0.07 and 0.03, respectively; Analysis 1.7). In the same trial, cure rates by type of UI also favoured the intervention group for both SUI (P value 0.004) and UUI (P value 0.02) at six months, but no further follow‐up was available (Analysis 1.5).

The prevalence of weekly (or more frequent) UI of any type (stress or urgency) was lower in the intervention group than in the control group in the two sub‐studies of diabetes trials with a follow‐up of between one and 2.8 years (Analysis 1.8). According to adjusted odds ratios (ORs) reported by trial authors, the intervention was associated with a statistically significant reduction in the odds of having UI by around 20% to 24% compared with the control group (in Phelan 2012, adjusted OR 0.80, 95% CI 0.65 to 0.98; in Brown 2006b, adjusted OR 0.76, 95% CI 0.61 to 0.95). The prevalence of weekly SUI was also lower in the intervention group compared with the control in both trials (in Phelan 2012, adjusted OR 0.73, 95% CI 0.55 to 0.96, Analysis 1.9; in Brown 2006b, adjusted OR 0.80, 95% CI 0.64 to 1.01) but no such difference was apparent for UUI (Analysis 1.9). The trial authors suggest that the reduction in the prevalence of overall weekly incontinence may be due to differences in weekly SUI.

Compared with women in the control group, those in the intervention group had a greater percentage reduction from baseline in weekly incontinence episodes over the period of three to 18 months regardless of type of UI (all, stress or urgency; Analysis 1.10; Analysis 1.11). Differences between the groups for all UI and SUI episodes were reported to be statistically significant at three, six and 12 months but no longer significant at 18 months. The difference for UUI was not statistically significant at any point in time after three months.

General health‐related quality of life was measured only in one small trial with 40 participants using SF‐36 ( (Subak 2005; Analysis 1.3). The median SF‐36 Physical Component Score favoured the intervention group (55 versus 47, P value 0.003) but there was no significant difference between the groups in the Mental Component Score of the same instrument (48 versus 51, P value 0.09).

2) Dietary changes versus no active intervention

Description of study

We identified only one small trial that assessed the effect of dietary factors on UI (Manonai 2006). The trial used a randomized cross‐over design and compared a soy‐rich diet with a control (soy‐free) diet in 42 women who experienced at least one of urinary or genital symptoms owing to urogenital atrophy. At baseline around 61% and 63% of women in the intervention and control groups, respectively, had SUI episodes and 19% and 11%, respectively, had UUI episodes. Partcipants underwent two two‐week treatment periods in random order with two four‐week washout periods before and between treatments. The trial authors found compliance to the diet to be satisfactory on the basis of the elevation of serum levels of daidzein and genistein during the soy‐rich diet period. Outcome data were available for 36 women who completed the trial. As data subgrouped by incontinence status were not available, the extracted data were from the whole study.

Primary outcomes

The trial did not address self‐reported cure and improvement rates, condition‐specific quality of life and adverse effects.

Secondary outcomes

The trial did not address cure and improvement rates based on quantification of symptoms, number of UI episodes and generic quality of life. The available data suggest that the percentage of women with UUI episodes in the control group increased from baseline during the control diet period (N = 36, from 11% to 22%, P value not reported; Analysis 2.1). Correspondingly, symptom scores (mean, SD) of UUI significantly increased during the control diet period (N = 36, from 0.14 (0.35) to 0.25 (0.50), P value < 0.05; Analysis 2.2), although the difference was small.

3) Change in fluid intake versus no treatment

Description of studies

We identified three trials that examined altering the level of fluid intake (Dowd 1996; Hashim 2008; Swithinbank 2005).

One RCT allocated 58 women with UI to one of three groups that increased fluid intake by 500 ( Dowd 1996). The trial provided a five‐week programme with randomisation in the second week. The trial reported that adherence to the fluid manipulation was poor, which made results difficult to interpret.

Another randomized cross‐over trial with 84 women with UI reported outcome data for the 69 women (39 with USI and 30 with IDO) who completed the trial (Swithinbank 2005). The trial lasted four weeks. In the first week participants drank normally (week 1, baseline) and in the second week drank normally, but only caffeine‐free fluids (week 2, caffeine‐free baseline). Participants were then randomized in the order in which they either increased fluids to 3 litres daily, or decreased fluids to 750 ml daily, in the third and fourth weeks while maintaining caffeine restriction (i.e. only drinking caffeine‐free fluids). Adherence to fluid intake protocols seemed fair, with a mean fluid intake of 1639 ml for Week 1, 1630 ml for Week 2, 2673 ml for the week of increasing fluids and 872 ml for the week of decreasing fluids.

In another cross‐over trial with 24 participants (11 men and 13 women) with OAB (Hashim 2008), only seven (29%) participants had UUI at baseline. Participants were randomized into two groups and asked to either increase or decrease their fluid intake from baseline. As outcome data specific to a subgroup of people with UI were not reported separately, the extracted data applied to the whole study. Group I was asked to drink at < 25% of baseline for four days, followed by two days' normal drinking, four days' at < 50%, two days' normal drinking, four days at > 25%, two days' normal drinking, and then four days at > 50%. Group II did the reverse. The trial reported that participants had difficulty in either increasing or decreasing fluids by 50%.

Primary outcomes

One cross‐over trial assessed quality of life using the Bristol Female Lower Urinary Tract Symptoms questionnaire (Swithinbank 2005). Quality of life improved when fluid intake was decreased compared with baseline in women with USI (N = 39, P value < 0.003) or IDO (N = 30, P value < 0.003) but the women reported no significant difference in the impact of incontinence symptoms on their daily life before and after treatment (no further data were available).

Regarding adverse effects, the same cross‐over trial reported that, with decreasing fluids, ‘side effects such as constipation and thirst were troublesome’ (Swithinbank 2005). Another cross‐over trial with 24 participants reported that adverse events observed were mild and tolerable: four participants felt thirsty and two had headaches, constipation or concentrated urine when fluid intake was decreased by 50% from baseline; and one had headache when intake was reduced by 25% (Hashim 2008). 

No information was available regarding self‐reported cure or improvement.

Secondary outcomes

The number of daily incontinent episodes was reported by three trials that used different measures. A four‐week cross‐over trial stratified results by type of UI at baseline (Swithinbank 2005; Analysis 3.1). Among 39 women with USI, the week of decreasing fluid intake (with caffeine restriction) was associated with a statistically significant reduction in the median number of daily incontinent episodes compared with the week of increasing fluid intake (with caffeine restriction; 0.5 versus 0.7, P value 0.006). Daily incontinent episodes after decreasing fluid intake (with caffeine restriction) were also statistically significantly fewer compared with the baseline week when participants drank normally (week 1, 0.5 versus 1.6, P value 0.006), but there was no significant difference when compared with the caffeine‐free baseline week in which participants maintained a similar fluid intake from baseline, but substituted caffeine‐free drinks for caffeine‐containing drinks (week 2, 0.5 versus 0.8, P value 1.000). The week of increasing fluid intake (no caffeine) did not differ significantly from the caffeine‐free baseline week (week 2, 0.7 versus 0.8, P value 0.426) in terms of daily incontinent episodes. For 30 women with IDO, drinking less fluid (no caffeine) had no statistically significant effect on daily incontinent episodes (0.5 versus 0.6, P value not significant) when compared with the caffeine‐free baseline, but drinking more fluid (no caffeine) resulted in a significant worsening (increase) of the symptom (1.1 versus 0.6, P value < 0.003).

In the other cross‐over trial participants were asked to increase or decrease their fluid intake by 25% and 50% from baseline in random order (Hashim 2008). There was no statistically significant difference in the mean number of daily incontinent episodes between the baseline period and each of the fluid manipulation periods, although it should be noted that only seven (29%) of the 24 participants had UUI at baseline (Analysis 3.2).

The Dowd 1996 trial randomized participants to three groups (maintain, increase or decrease fluid), but the authors reported that adherence to the fluid manipulation protocol was poor and that results were inconclusive (Analysis 3.3).

4) Caffeine reduction versus continued caffeine intake

Description of studies

We identified three trials that assessed the effects of a reduction in caffeine intake on incontinence (Bryant 2002; Miller 2007; Wells 2011).

In Bryant 2002, 95 participants (86 women, 9 men) with OAB (83% had UUI at baseline) were randomized by use of health record numbers (quasi‐randomised) to caffeine reduction education or control (continued caffeine intake). In addition, both groups received bladder training and were followed up for four weeks. Caffeine intake in the intervention group was reduced significantly from baseline compared with the control group (58% versus 11%, P value < 0 000.1)

Wells 2011 was a randomized cross‐over trial in which 14 women with OAB (with or without UI) underwent two two‐week periods of caffeinated or caffeine‐free fluids intake with a 14‐day washout period between treatments. It was a feasibility trial and identified only in abstract form. Data were available for the 11 women who completed the trial. Two participants did not comply with caffeine substitution.

The third trial, Miller 2007, was an unpublished two‐arm RCT that evaluated the effect of restricting 'irritating' beverages (caffeinated or non‐caffeinated). In this trial around 60 women with OAB (it was unclear if some or all participants were incontinent) were asked to substitute 'irritating' beverages with milk or water, but to maintain a similar volume of fluid from baseline. The request to stop drinking irritating beverages was associated with an improvement in OAB symptoms, but the trial author noted that the findings were confounded by a significant reduction in overall fluid intake in the intervention group from baseline (email communication from the trial author to the Cochrane Incontinence Group). No further information was available regarding this trial. The remainder of this section therefore focuses on the first two trials.

In all three trials, outcome data were extracted from the whole study, as data specific to the UI subgroup of the trial population were not reported separately.

Primary outcomes

The Wells 2011 trial reported condition‐specific quality of life using ICIQ Overactive Bladder (ICIQ‐OAB) and ICIQ Overactive Bladder Symptoms Quality of Life (ICIQ‐OABqol) questionnaires among 11 of the 14 women who completed the trial. Overall, women had lower (better) scores during the period of caffeine substitution (when drinking caffeine‐free fluids) compared with the caffeine exposure period, but the difference in total scores for the ICIQ‐OABqol was not statistically significant (mean 54 versus 68, P value 0.065; Analysis 4.1). No information was available regarding self‐reported cure and improvement, or adverse effects.

Secondary outcomes

There was no evidence of a difference in incontinence episode frequency between the caffeine reduction and caffeine exposure groups. The Bryant 2002 trial reported a mean difference of 0.2 episodes per day (Analysis 4.2: mean difference (MD) ‐0.20, CI ‐1.02 to 0.62), whereas the Wells 2011 trial reported 'no difference' with no numerical data provided. No information was available for cure and improvement rates based on quantification of symptoms or generic quality of life.

5) Reduction in sweetened fizzy or diet drinks versus no treatment

We found no trials that compared a reduction in sweetened fizzy or diet drinks with no treatment.

6) Reduction in alcohol consumption versus no treatment

We found no trials that compared a reduction in alcohol consumption with no treatment.

7) Avoiding constipation versus no treatment

We found no trials that compared avoidance of constipation with no treatment.

8) Smoking cessation versus no treatment

We found no trials that compared stopping smoking with no treatment.

9) Restricting strenuous physical forces versus no treatment

We found no trials that compared restricting strenuous physical forces with no treatment.

10) Reducing high levels of, or increasing low levels of, physical activity versus no treatment

We found no trials that compared a reduction in high levels of physical activity, or increasing low levels of physical activity, with no treatment.

11) Any lifestyle interventions, either alone or in combination, versus other lifestyle interventions or pharmacological and other conservative therapies

One trial was identified that compared a lifestyle weight loss intervention versus metformin. This trial was a sub‐study of a large DPP trial for diabetes described above (Brown 2006b), which compared different weight loss programmes: an intensive lifestyle intervention or a pharmacological intervention (metformin). This comparison included 1296 women.

The only relevant outcome for this review was the effect of weight loss on the prevalence of weekly or more frequent UI at a mean follow‐up of 2.8 years. The results showed that women allocated to the lifestyle group (N = 659) had a significantly lower prevalence of UI (any UI) compared with those in the comparison group (252/659 (38%) versus 306/635 (48%), RR 0.79, 95% CI 0.70 to 0.90; Analysis 5.1.1). The results hold for the prevalence of both weekly SUI symptoms (206/659 (31%) versus 252/635 (40%), RR 0.79, 95% CI 0.68 to 0.91; Analysis 5.1.2), and UUI symptoms (156/659 (24%) versus 182/635 (29%), RR 0.83, 95% CI 0.69 to 0.99; Analysis 5.1.3).

Discussion

available in

This is the first systematic review to consider the effectiveness of specific lifestyle interventions in the management of adults with urinary incontinence.

Summary of main results

This review identified eleven trials that reported on the effect of weight loss (four trials), the intake of a soy‐rich diet (one trial), change in fluid intake (three trials), reduction in caffeinated drinks (three trials), and lifestyle versus non‐lifestyle interventions for weight loss (one trial).  No trials were identified that investigated alcohol, sweetened fizzy drinks or diet drinks, constipation and straining, smoking cessation, physical activity or physical forces.

Adverse effects appeared to be relatively uncommon for all interventions studied, although, with decreasing fluids, some participants experienced thirst, constipation, concentrated urine or headaches. 

Is weight loss by obese or overweight adults more effective than no treatment?

Four trials investigated whether weight loss by obese or overweight adults was more effective than no treatment and included a total of 4701 women (Brown 2006b; Phelan 2012; Subak 2005; Subak 2009). It is important to note that two trials, which contributed over 90% of the women to this analysis, were primarily diabetes trials (N = 1321 and 2994, respectively; Brown 2006b; Phelan 2012). 

There is 'low' quality evidence that, compared with the control interventions, weight loss programmes were associated with higher improvement rates based on women’s self‐report (primary outcome), and also higher cure and improvement rates based on quantifiable symptoms (secondary outcomes), although there was no information available on self‐reported cure (primary outcome). The two diabetes trials also reported prevalence of urinary incontinence and identified a similar trend towards the weight loss groups having a greater reduction in the number of women with weekly incontinence episodes compared with the control groups ('very low' quality evidence). Only the smallest trial with 40 women measured disease‐specific quality of life using the Incontinence Impact Questionnaire and the Urogenital Distress Inventory (Subak 2005), which showed statistically significant differences that favoured the weight loss group compared with the control group ('low' quality evidence).

This consistency of effect across a number of measured outcomes gives strength to the evidence. Overall, the differences in both cure and improvement when weight loss is compared to control suggest that weight loss interventions may be of interest to morbidly and moderately obese women and their clinicians. The degree of improvement in UI may be contingent upon the magnitude of the weight loss. A cohort analysis, Wing 2010, associated with one of the included trials (called the PRIDE study, N = 338 at baseline; Subak 2009) showed that women who lost 5% to 10% of their body weight (regardless of randomized treatment assignment) were two to four times more likely to achieve at least a 70% reduction in the number of total (i.e. stress or urgency) incontinence episodes per week compared with those who gained weight at follow‐ups at six months (adjusted OR 3.7, 95% CI 1.6 to 8.2), at 12 months (adjusted OR 3.7, 95% CI 1.7 to 8.3) and at 18 months (adjusted OR 2.4, 95% CI 1.1 to 5.1). Weight losses greater than 10% did not result in greater improvements in incontinence outcomes (at 6 months, adjusted OR 3.8, 95% CI 1.5 to 9.6; at 12 months, adjusted OR 4.1, 95% CI 2.1 to 7.9; at 18 months, adjusted OR 3.3, 95% CI 1.7 to 6.4).

There is little evidence available concerning the potential mechanisms involved in the weight loss effect. There was inconsistency in the type of intervention provided that included various combinations of diet and physical activity. It was also unclear whether the dietary mechanism involved reduced calorie intake, or other change in the quality of the diet, or both. Some of the potential benefits of weight loss could also have been attributed to better glycaemic control rather than weight loss alone, in view of the substantial numbers of diabetics involved in the trials. Such results may not be entirely relevant to all people with obesity, although there was independent evidence for a weight loss effect in non‐diabetics.

As might be expected, the benefit of the weight loss intervention diminished over time. This is clear from the forest plots for cure and improvement rates by quantification of symptoms and the number of incontinence episodes per week, which show that the point estimates move closer to the line of no effect from three months, through to 18 months. Maintenance of effect is rarely seen in long‐term incontinence trials carried out years after intervention (Agur 2008; Glazener 2005), and therefore sustainability of weight loss and its long‐term effect on incontinence would require further research.

Is dietary change more effective than no change?

One small trial investigated whether dietary change is more effective than no change (Manonai 2006); it included 42 women comparing a soy‐rich diet with a soy‐free diet. The only available outcome data for UI frequency found no evidence of a difference between the two diets ('very low' quality evidence). Other data were insufficient to draw any conclusions about the effect of the content of the diet on UI.

Is changing the volume of fluid intake more effective than no change in the volume of fluid intake?

Three trials investigated whether changing the volume of fluid intake is more effective than no change in the volume of fluid intake; these included 181 women and 11 men (Dowd 1996; Hashim 2008; Swithinbank 2005). Only one cross‐over trial used disease‐specific quality of life as the primary outcome and reported improvement in scores for the Bristol Female Lower Urinary Tract Symptoms questionnaire following decreased fluid intake (Swithinbank 2005). One trial reported poor adherence to the intervention protocol, which led to inconclusive results (Dowd 1996). Each trial used a different protocol detailing fluid manipulation and none of the trials reported improvement or cure. We ranked the quality of findings as 'very low'.

Is caffeine reduction more effective than no change in caffeine consumption?

Three trials investigated whether caffeine reduction is more effective than no change in caffeine consumption and included a total of160 women and nine men (Bryant 2002; Miller 2007; Wells 2011). One trial was reported exclusively via an author email (Miller 2007), and was insufficiently detailed for us to draw firm conclusions. Across the trials, there was inconsistency in outcomes used, limited data and insufficient reporting to enable an analysis of whether caffeine reduction is better than no change in consumption. The limited and 'very low' quality data available on disease‐specific quality of life (ICIQ‐OABqol) and incontinence episode frequency found no evidence of a difference between the groups. 

Is any lifestyle intervention more effective than another intervention?

One trial investigated whether one lifestyle intervention is more effective than any another intervention and included 1296 women (Brown 2006b); this was a sub‐study of a large diabetes trial that compared two weight loss programmes ‐ an intensive lifestyle intervention or a pharmacological intervention (metformin). The only available outcome data were on the effect of weight loss on prevalence of weekly UI (a secondary outcome of 'very low' evidence quality). The results showed that women had a lower prevalence of weekly UI in the lifestyle group than in the metformin group at a mean of 2.8 years follow‐up and this difference between the groups was statistically significant, favouring the lifestyle intervention. 

Overall completeness and applicability of evidence

The majority of included trials had small sample sizes, with 60 or fewer participants, and short follow‐up (i.e. less than 12 months). Five of the included trials were parallel‐arm RCTs (Brown 2006b; Dowd 1996; Subak 2005; Subak 2009; Phelan 2012). The remainder included four randomized cross‐over trials (Hashim 2008; Manonai 2006; Swithinbank 2005; Wells 2011), and one quasi‐RCT (allocation made using health record numbers; Bryant 2002). We also included one unpublished trial, with limited information, from an author email (Miller 2007).  

Participants in the trials included in this review were predominantly female, with the average age (unclear if this was mean or median) ranging from 49 to 58 years, except for two trials with means of 62.7 years, Hashim 2008, and 70.25 years, Dowd 1996. The trial participants were also those resident in the community. Therefore, the applicability of findings to men and older age groups, and particularly frail elderly people in care home settings, is uncertain.

Random sequence allocation was adequately generated and concealed in only two trials (Subak 2005; Subak 2009); in other trials it was either inadequate or not described in sufficient detail. This may have introduced selection bias. 

The percentage of participants followed up and included in analysis varied across the included trials. Only four trials had either no missing outcome data, imputed missing data, or stated that missing data were balanced across groups (Brown 2006b; Hashim 2008; Subak 2005; Subak 2009), while in one trial nearly half of the participants were excluded from analysis due to missing data (Dowd 1996). In the other trials, the numbers of and reasons for missing outcome data were not clearly described, which led to uncertainty about the degree of attrition bias present in these trials.

Reported outcome data were heterogenous in a number of ways and this limited our ability to make comparisons across trials. For example, within each category of lifestyle intervention (weight loss, diet quality, fluid restriction and caffeine restriction), the trials used no outcomes consistently. There was no single outcome common to all trials, and even outcomes that were conceptually similar were measured in different ways. No primary outcome data were available for six of the trials included in the review (Brown 2006b; Bryant 2002; Dowd 1996; Manonai 2006; Miller 2007; Phelan 2012). In particular, quality‐of‐life outcomes were very poorly recorded. The importance of the inclusion of quality‐of‐life outcomes should not be underestimated, as they are likely to be the most keenly valued by patients themselves. More recent trials are likely to include quality‐of‐life measures, as they are increasingly identified as key outcomes, and use of recognised instruments for measuring them, such as the International Consultation on Incontinence Questionnaire (ICIQ), are becoming more widely used. 

Quality of the evidence

We assessed the levels of evidence for each outcome measured at 12 months after the commencement of the treatment using the GRADE approach (summary of findings Table for the main comparison; summary of findings Table 2; summary of findings Table 3; summary of findings Table 4; and summary of findings Table 5). Overall, the GRADE level of evidence for all outcomes was either 'low' or 'very low' across the different interventions. The main factors for downgrading the evidence included risk of bias (lack of blinding and unclear allocation concealment), indirect evidence (less than 12 months of follow‐up) and imprecise results due to a small sample size with wide confidence intervals, or a lack of information (e.g. standard deviation) required to estimate confidence intervals. Evidence from studies where only some of the participants were incontinent was also downgraded for indirectness as described below.

Quality of outcome reporting was generally poor. We judged methodological quality (risk of bias) from the trial reports, and so our judgements may reflect the quality of reporting, rather than the actual methodological quality of the trials.  

Potential biases in the review process

Due to the limited number of trials we identified that included only adults with UI, we made a post hoc decision to include data from trials where not all participants were incontinent when they entered the trial: the populations in these trials primarily had: overactive bladder (Hashim 2008; Miller 2007; Wells 2011); urgency and frequency (Bryant 2002); urogenital atrophy (Manonai 2006), or diabetes (Brown 2006b; Phelan 2012). Baseline incontinence ranged from 27% of the trial participants in Phelan 2012 to 83% in Bryant 2002, or was not reported but assumed (Brown 2006b). We extracted outcome data from the whole study for all trials except Phelan 2012, which provided subgrouped data specific to incontinence status.

We made another post hoc decision to include an outcome on the prevalence of UI at follow‐up; this outcome was identified from the two weight loss trials in people with diabetes (Brown 2006b; Phelan 2012). Our literature search was systematic and designed to pick up any mention of UI, urinary leakage or overactive bladder in the title, abstract and controlled vocabulary. A more in‐depth search required to identify studies for all clinical conditions was, however, not feasible within the limited resources available. This may have introduced reporting bias, as a large or beneficial intervention effect on UI may be more likely to be reported in abstracts of published reports than data showing little or no effect, and so be more likely to be identified by our search. If this is the case, including prevalence data could have exaggerated intervention effects. The applicability of evidence for managing people with urinary incontinence may also be limited, as the extent to which the weight loss programmes served as prevention, rather than treatment, of urinary incontinence is unclear.

Although every effort was made to adhere to the review protocol to minimise bias, these post hoc decisions resulted in changes to the inclusion criteria of the review. As data from those studies with mixed populations (with and without incontinence) often constituted the only information available for some of the interventions assessed in the review, we chose to include these data to provide relevant, albeit indirect, evidence. We exercised caution when interpreting these findings, by downgrading the quality of the body of evidence for the outcomes based on the studies with mixed populations (with and without incontinence) by one level on the ground of indirectness.

The review also encountered a problem associated with cross‐over trials that did not report data in a standard way which would take into account the within‐person differences (paired analysis). Instead, the included trials tended to report all measurements after completion of the treatment period and compared these data, as if they were a parallel group; some included trials also reported all measurements before and after intervention and compared these data within each treatment phase. The information required to perform paired analyses was not available from the published reports, which meant not only that the data from similar trials could not be incorporated into a meta‐analysis, but also that the reported data presented a 'unit of analysis' error. These results should therefore be interpreted with caution.

The addition of the assessment of evidence quality using the GRADE approach and 'Summary of findings' tables was a relatively new development in the systematic review methods at the time of this review. While these methods were not specified in the protocol, we nevertheless attempted to incorporate them into the present review. Efforts were made to minimise bias in determining outcomes to be included in the tables and quality ratings for each outcome through careful discussion among the review authors. However, these steps may have been influenced by knowledge of the results of the research and may therefore carry some risk of bias.

Agreements and disagreements with other studies or reviews

We are unaware of other systematic reviews on this topic. However, a summary of the evidence in men and in women, including that from non‐randomised studies, is provided in the 5th Edition of the International Consultation on Incontinence (Moore 2013).

PRISMA study flow diagram
Figures and Tables -
Figure 1

PRISMA study flow diagram

Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies
Figures and Tables -
Figure 2

Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies

Risk of bias summary: review authors' judgements about each risk of bias item for each included study
Figures and Tables -
Figure 3

Risk of bias summary: review authors' judgements about each risk of bias item for each included study

Comparison 1 Weight loss versus no active intervention, Outcome 1 Improvement rates based on women's perception (all types UI).
Figures and Tables -
Analysis 1.1

Comparison 1 Weight loss versus no active intervention, Outcome 1 Improvement rates based on women's perception (all types UI).

Study

Outcome

Weight loss
( number
improved)

Weight loss
(t otal N)

Weight loss
(%)

Control
( number
improved)

Control
(t otal N)

Control
(%)

Reported P value

Subak 2009

At 12 months (N = 298)

Not reported

Not reported

75

Not reported

Not reported

68

0.2

Subak 2009

At 18 months (N = 291)

Not reported

Not reported

75

Not reported

Not reported

62

0.02

Figures and Tables -
Analysis 1.2

Comparison 1 Weight loss versus no active intervention, Outcome 2 Improvement rates based on women's perception (all types UI).

Study

Outcome

Weight loss (total N)

Weight loss, median (IQR)

Control (total N)

Control, median (IQR)

Reported P value

Subak 2005

3 months

Subak 2005

Incontinence Impact Questionnaire (score range 0‐400 with lower score indicating better quality of life)

19

37 (11 to 86)

21

89 (56 to 136)

0.01

Subak 2005

Urogenital Distress Inventory (score range 0‐300 with lower scores indicating less distress)

19

104 (67 to 122)

21

195 (156 to 228)

<0.0001

Subak 2005

SF‐36 physical component (higher scores indicate better quality of life)

19

55 (49 to 58)

21

47 (41 to 50)

0.003

Subak 2005

SF‐36 mental component (higher scores indicate better quality of life)

19

48 (46 to 49)

21

51 (48 to 54)

0.09

Figures and Tables -
Analysis 1.3

Comparison 1 Weight loss versus no active intervention, Outcome 3 Quality of life and symptom scores.

Comparison 1 Weight loss versus no active intervention, Outcome 4 Cure rates based on quantification of symptoms (all types UI).
Figures and Tables -
Analysis 1.4

Comparison 1 Weight loss versus no active intervention, Outcome 4 Cure rates based on quantification of symptoms (all types UI).

Study

Outcome

Weight loss (number
cured)

Weight loss
(total N)

Weight loss (%)

Control (number
cured)

Control (total N)

Control (%)

Reported P value

Subak 2009

Stress UI at 6 months

Not reported

Not reported

27

Not reported

Not reported

15

0.004

Subak 2009

Urgency UI at 6 months

Not reported

Not reported

19

Not reported

Not reported

11

0.02

Figures and Tables -
Analysis 1.5

Comparison 1 Weight loss versus no active intervention, Outcome 5 Cure rates based on quantification of symptoms (by type of UI).

Comparison 1 Weight loss versus no active intervention, Outcome 6 Improvement rates based on quantification of symptoms (all types UI).
Figures and Tables -
Analysis 1.6

Comparison 1 Weight loss versus no active intervention, Outcome 6 Improvement rates based on quantification of symptoms (all types UI).

Study

Outcome

Weight loss
(number
cured)

Weight loss
(total)

Weight loss
(%)

Control
(number
cured)

Control
(total)

Control
(%)

Reported P value

Subak 2009

Stress UI at 6 months

Not reported

Not reported

51

Not reported

Not reported

34

0.01

Subak 2009

Urgency UI at 6 months

Not reported

Not reported

41

Not reported

Not reported

29

0.04

Subak 2009

Stress UI at 6 months

Not reported

Not reported

51

Not reported

Not reported

34

0.01

Subak 2009

Urgency UI at 6 months

Not reported

Not reported

41

Not reported

Not reported

29

0.04

Subak 2009

Stress UI at 18 months

Not reported

Not reported

61

Not reported

Not reported

62

0.92

Subak 2009

Urgency UI at 18 months

Not reported

Not reported

47

Not reported

Not reported

34

0.03

Figures and Tables -
Analysis 1.7

Comparison 1 Weight loss versus no active intervention, Outcome 7 Improvement rates based on quantification of symptoms (by type of UI).

Comparison 1 Weight loss versus no active intervention, Outcome 8 Prevalence of weekly urinary incontinence after intervention (all types UI).
Figures and Tables -
Analysis 1.8

Comparison 1 Weight loss versus no active intervention, Outcome 8 Prevalence of weekly urinary incontinence after intervention (all types UI).

Study

Outcome

Weight loss (number
with UI)

Weight loss (total N)

Weight loss (%)

Control (number
with UI)

Control (total N)

Control (%)

Reported P value

Reported adjusted odds ratio (95% CI)

Brown 2006b

SUI at 2.8 years

206

659

31

242

660

37

0.04

0.80 (0.64 to 1.01)

Brown 2006b

UUI at 2.8 years

156

659

24

169

660

26

0.41

Not reported

Phelan 2012

SUI at 1 year

145

1385

11

173

1354

13

0.07

0.73 (0.55 to 0.96)

Phelan 2012

UUI at 1 year

Not reported

Not reported

Not reported

Not reported

Not reported

Not reported

Not reported

0.93 (0.70 to 1.23)

Figures and Tables -
Analysis 1.9

Comparison 1 Weight loss versus no active intervention, Outcome 9 Prevalence of weekly urinary incontinence after intervention (by type of UI).

Comparison 1 Weight loss versus no active intervention, Outcome 10 Incontinent episodes per week (% change from baseline; all UI types).
Figures and Tables -
Analysis 1.10

Comparison 1 Weight loss versus no active intervention, Outcome 10 Incontinent episodes per week (% change from baseline; all UI types).

Study

Outcome

Weight loss (total N)

Weight loss
(% change from baseline)

Control (total N)

Control (% change from baseline)

Reported P value

Subak 2005

All UI at 3 months, median (IQR)

19

‐60 (‐89 to ‐30)

21

‐15 (‐25 to 9)

0.0005

Subak 2005

Stress UI at 3 months, median (IQR)

19

‐92 (‐100 to ‐66)

21

5 (‐63 to 33)

0.003

Subak 2005

Urgency UI at 3 months, median (IQR)

19

‐70 (‐100 to ‐16)

21

‐11 (‐67 to 69)

0.03

Subak 2005

Subak 2005

Subak 2005

Subak 2005

Subak 2005

Subak 2005

Subak 2009

All UI at 6 months, mean (95% CI)

214

‐47 (‐54 to ‐40)

90

‐28 (‐41 to ‐13)

0.01

Subak 2009

Stress UI at 6 months, mean (95% CI)

214

‐58 (‐67 to ‐46)

90

‐33 (‐50 to ‐9)

0.02

Subak 2009

Urgency UI at 6 months, mean (95% CI)

214

‐42 (‐51 to ‐32)

90

‐26 (‐44 to ‐3)

0.14

Subak 2009

All UI at 12 months, mean (95% CI)

207

‐57 (‐63 to ‐50)

87

‐45 (‐56 to ‐32)

0.08

Subak 2009

Stress UI at 12 months, mean (95% CI)

207

‐66 (‐71 to ‐59)

87

‐45 (‐59 to ‐27)

<0.001

Subak 2009

Urgency UI at 12 months, mean (95% CI)

207

‐50 (‐59 to ‐39)

87

‐48 (‐63 to ‐29)

0.87

Subak 2009

All UI at 18 months, mean (95% CI)

197

‐62 (‐67 to ‐55)

90

‐55 (‐65 to ‐43)

0.3

Subak 2009

Stress UI at 18 months, mean (95% CI)

197

‐69 (‐76 to ‐61)

90

‐62 (‐73 to ‐48)

0.32

Subak 2009

Urgency UI at 18 months, mean (95% CI)

197

‐56 (‐64 to ‐46)

90

‐49 (‐64 to ‐28)

0.46

Figures and Tables -
Analysis 1.11

Comparison 1 Weight loss versus no active intervention, Outcome 11 Incontinence episodes per week (% change from baseline; by type of UI).

Study

Outcome

Soy‐rich diet (n/N)

Soy‐rich diet (%)

Control diet (n/N)

Control diet (%)

Manonai 2006

SUI episodes: before (baseline)

22/36

61

23/36

63

Manonai 2006

SUI episodes: after

22/36

61

18/36

51

Manonai 2006

UUI episodes: before (baseline)

7/36

19

4/36

11

Manonai 2006

UUI episodes: after

6/36

17

8/36

22

Figures and Tables -
Analysis 2.1

Comparison 2 Soy‐rich diet versus control, Outcome 1 Number of women with UI episodes: soy‐rich diet versus control.

Study

Outcome

Soy‐rich diet (n = 36)

Soy‐rich diet (n = 36)

Manonai 2006

SUI episodes: before (baseline)

0.67 (0.68)

0.75 (0.65)

Manonai 2006

SUI episodes: after

0.72 (0.66)

0.72 (0.74)

Manonai 2006

Reported P value

> 0.05

> 0.05

Manonai 2006

UUI episodes: before (baseline)

0.17 (0.38)

0.14 (0.35)

Manonai 2006

UUI episodes: after

0.19 (0.47)

0.25 (0.50)

Manonai 2006

Reported P value

> 0.05

< 0.05

Figures and Tables -
Analysis 2.2

Comparison 2 Soy‐rich diet versus control, Outcome 2 Mean UI symptom scores (SD; 0 = none, 1 = mild, 2 = moderate, 3 = severe): soy‐rich diet versus control.

Study

Type of UI

Baseline

Caffeine‐free baseline

Caffeine‐free
and increasing fluids

Caffeine‐free
and decreasing fluids

Swithinbank 2005

Urodynamic stress incontinence (SUI), n = 39

1.6 (0.6 to 2.8)

0.8 (0.1 to 1.9)

0.7 (0.3 to 3)

0.5 (0.2 to 2.1)

Swithinbank 2005

Idiopathic detrusor overactivity (IDO), n = 30

0.9 (0.4 to 2)

0.6 (0.2 to 1.8)

1.1 (0.2 to 3)

0.5 (0.2 to 1.2)

Figures and Tables -
Analysis 3.1

Comparison 3 Increase in fluid intake versus decrease in fluid intake, Outcome 1 Median number of daily UI episodes (IQR).

Study

Randomised group

N

Median (range)

Reported P value
compared with baseline

Hashim 2008

Baseline

24

0 (0, 4.8)

Hashim 2008

25% less fluid

24

0 (0, 5.5)

1.0

Hashim 2008

50% less fluid

12

0 (0, 4.5)

0.69

Hashim 2008

25% more fluid

21

0 (0, 10.3)

1.00

Hashim 2008

50% more fluid

14

0 (0, 12.8)

0.69

Figures and Tables -
Analysis 3.2

Comparison 3 Increase in fluid intake versus decrease in fluid intake, Outcome 2 Median number of daily UI episodes (range).

Study

Time period

Maintain fluid
(N = 14)

Increase fluid (N = 10)

Decrease fluid (N = 8)

Dowd 1996

Week 1 (baseline)

0.48

0.6

0.54

Dowd 1996

Week 2

0.71

0.61

0.26

Dowd 1996

Week 3

0.81

0.67

0.17

Dowd 1996

Week 4

0.57

0.5

0.14

Dowd 1996

Week 5

0.48

0.55

0.07

Figures and Tables -
Analysis 3.3

Comparison 3 Increase in fluid intake versus decrease in fluid intake, Outcome 3 Mean number of daily UI episodes (any UI).

Study

Outcome

Caffeine substitution

Caffeine exposure

Reported
P value

Wells 2011

ICIQ Overactive Bladder (ICIQ‐OAB) total score (N = 11);

0‐16 overall score with greater values indicating increased symptom severity

4.64

6.55

< 0.01

Wells 2011

ICIQ Overactive Bladder Symptoms Quality of Life (ICIQ‐OABqol) score (N = 11); 25‐160 overall score with greater values indicating increased impact on quality of life

Wells 2011

1) How regularly bladder symptoms interfered with the ability to get a good night's rest

2.64

4.09

< 0.01

Wells 2011

2) How often bladder symptoms caused anxiety or worry

1.73

2.64

< 0.05

Wells 2011

3) How much bladder symptoms interfered with everyday life overall

3.73

5.64

< 0.01

Wells 2011

4) Total scores for the ICIQ‐OABqol

53.91

68.36

0.065

Figures and Tables -
Analysis 4.1

Comparison 4 Caffeine reduction versus control, Outcome 1 Mean quality of life scores.

Comparison 4 Caffeine reduction versus control, Outcome 2 Mean number of UI episodes per 24 hours (SD).
Figures and Tables -
Analysis 4.2

Comparison 4 Caffeine reduction versus control, Outcome 2 Mean number of UI episodes per 24 hours (SD).

Comparison 5 Lifestyle weight loss versus metformin, Outcome 1 Prevalence of weekly UI after intervention.
Figures and Tables -
Analysis 5.1

Comparison 5 Lifestyle weight loss versus metformin, Outcome 1 Prevalence of weekly UI after intervention.

Summary of findings for the main comparison. Weight loss compared to control for the treatment of urinary incontinence in adults

Weight loss compared to control for the treatment of urinary incontinence in adults

Patient or population: adults with urinary incontinence
Settings:
Intervention: weight loss
Comparison: control

Outcomes

Illustrative comparative risks* (95% CI)

Relative effect
(95% CI)

No of participants
(studies)

Quality of the evidence
(GRADE)

Comments

Assumed risk

Corresponding risk

Control

Weight loss

Cure rates by patient observation (all UI types) ‐ not reported

Not estimable

Improvement rates by patient observation (all UI types)
Follow‐up: 6 months

544 per 1000

762 per 1000
(621 to 931)

RR 1.4
(1.14 to 1.71)

304
(1 study)

⊕⊕⊝⊝
low1,2

Condition‐specific quality of life
Incontinence Impact Questionnaire. Scale from: 0 to 400. Better quality of life indicated by lower values.
Follow‐up: 3 months

The median condition‐specific quality of life in the control groups was
89 points

The median condition‐specific quality of life in the intervention groups was
52 lower
(95% CI not estimable)

40
(1 study)

⊕⊕⊝⊝
low1,2

Adverse effects
Follow‐up: 3 months

Not estimable

48
(1 study)

The study reported that the intervention had 'few side effects'.

Cure rates by symptom quantification (all UI types)
Follow‐up: 12 months

315 per 1000

350 per 1000
(287 to 431)

RR 1.11
(0.91 to 1.37)

738
(1 study)

⊕⊕⊝⊝
low1,3,4

Improvement rates by symptom quantification (all UI type)
Follow‐up: 12 months

325 per 1000

393 per 1000
(332 to 468)

RR 1.21
(1.02 to 1.44)

1032
(2 studies)

⊕⊕⊝⊝
low1,3,4

Prevalence of weekly UI (all UI type)
Follow‐up: 12 months

286 per 1000

252 per 1000
(223 to 286)

RR 0.88
(0.78 to 1)

2739
(1 study)

⊕⊝⊝⊝
very low1,3,4,5

*The basis for the assumed risk (e.g. the median control group risk across studies) is provided in footnotes. The corresponding risk (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
CI: confidence interval; RR: risk ratio; UI: urinary incontinence

GRADE Working Group grades of evidence
High quality: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: We are very uncertain about the estimate.

1 Risk of bias: We downgraded the evidence by one level because blinding of participants and personnel was unlikely.
2 Indirectness: We downgraded the evidence by one level because of short follow‐up < 12 months
3 Risk of bias: We downgraded the evidence by one level because the authors did not report or provide a description of an allocation concealment method in one study (Phelan 2012).
4 Missing outcome data in 7%‐10% of the participants in one study (Phelan 2012).
Indirectness: We downgraded the evidence by one level because data include a sub‐study of a trial (Phelan 2012) for diabetes that included continent as well as incontinent patients; only 27% had weekly urinary incontinence at baseline.

Figures and Tables -
Summary of findings for the main comparison. Weight loss compared to control for the treatment of urinary incontinence in adults
Summary of findings 2. Soy‐rich diet compared to control for the treatment of urinary incontinence in adults

Soy‐rich diet compared to control for the treatment of urinary incontinence in adults

Patient or population: adults with urinary incontinence
Settings:
Intervention: soy‐rich diet
Comparison: control

Outcomes

Illustrative comparative risks* (95% CI)

Relative effect
(95% CI)

No of participants
(studies)

Quality of the evidence
(GRADE)

Comments

Assumed risk

Corresponding risk

Control

Soy rich diet

Cure rates by patient observation (all UI types) ‐ not reported

Not estimable

Improvement rates by patient observation (all UI types) ‐ not reported

Not estimable

Condition‐specific quality of life ‐ not reported

Not estimable

Adverse effects ‐ not reported

Not estimable

Cure rates by symptom quantification (all UI types) ‐ not reported

Not estimable

Improvement rates by symptom quantification (all UI types) ‐ not reported

Not estimable

Incontinent episodes per week (all UI types) ‐ not reported

Not estimable

*The basis for the assumed risk (e.g. the median control group risk across studies) is provided in footnotes. The corresponding risk (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
CI: confidence interval; RR: risk ratio; UI: urinary incontinence

GRADE Working Group grades of evidence
High quality: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: We are very uncertain about the estimate.

Figures and Tables -
Summary of findings 2. Soy‐rich diet compared to control for the treatment of urinary incontinence in adults
Summary of findings 3. Decreasing fluids compared to increasing fluids for the treatment of urinary incontinence in adults

Decreasing fluids compared to increasing fluids for the treatment of urinary incontinence in adults

Patient or population: adults with urinary incontinence
Settings:
Intervention: decreasing fluids
Comparison: increasing fluids

Outcomes

Illustrative comparative risks* (95% CI)

Relative effect
(95% CI)

No of participants
(studies)

Quality of the evidence
(GRADE)

Comments

Assumed risk

Corresponding risk

Increasing fluids

Decreasing fluids

Cure rates by patient observation (all UI types) ‐ not reported

Not estimable

Improvement rates by patient observation (all UI types) ‐ not reported

Not estimable

Condition‐specific quality of life
Follow‐up: 1 weeks

See comment

See comment

Not estimable

69
(1 study1)

⊕⊝⊝⊝
very low2,3,4,5,6

Quality of life improved when fluid intake was decreased but the impact of incontinence on daily life did not differ significantly before or after the treatment

Adverse effects
Follow‐up: 1 weeks

See comment

See comment

Not estimable

93
(2 studies1)

⊕⊝⊝⊝
very low2,3,5,6,7,8

Reported adverse effects include constipation, thirst, headache and concentrated urine with decreasing fluids

Cure rates by symptom quantification (all UI types) ‐ not reported

Not estimable

Improvement rates by symptom quantification (all UI types) ‐ not reported

Not estimable

Incontinent episodes per week (all UI types)
Follow‐up: 1‐4 weeks

See comment

See comment

Not estimable

125
(3 studies9)

⊕⊝⊝⊝
very low2,3,5,6,8,10,11

Decreasing fluid intake significantly reduced incontinent episodes in one study, no difference was found in another study and the results were inconclusive in the other study

*The basis for the assumed risk (e.g. the median control group risk across studies) is provided in footnotes. The corresponding risk (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
CI: confidence interval; UI: urinary incontinence

GRADE Working Group grades of evidence
High quality: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: We are very uncertain about the estimate.

1 Randomised cross‐over trial
2 Risk of bias: We downgraded the evidence by one level because blinding of participants, personnel and outcome assessors was probably not done and could introduce bias.
3 Risk of bias: We downgraded the evidence by one level because the authors did not report or provide a description of an allocation concealment method.
4 Missing outcome data in 18% of participants.
5 Indirectness: We downgraded the evidence by two levels because of short follow‐up < 12 months in all studies and because study participants included both continent and incontinent patients in one study (Hashim 2008)
6 Imprecision: We downgraded the evidence by one level because confidence intervals for relative effect were not estimable.
7 Missing outcome data in 18% of participants in one study (Swithinbank 2005), whereas the other study had no missing outcome data (Hashim 2008).
8 Inconsistency: We downgraded the evidence by one level because becuse of heterogenous interventions.
9 One RCT compared increasing versus decreasing versus maintaining fluid intake (Dowd 1996) and two randomized cross‐over trials comparing increasing versus decreasing fluid intake (Hashim 2008; Swithinbank 2005).
10 Missing outcome data in 45% of participants in the RCT (Dowd 1996), 18% of participants in a cross‐over trial (Swithinbank 2005), whereas the other cross‐over trial had no missing outcome data (Hashim 2008).
11 Low adherence to the protocol was reported in two studies (Dowd 1996;Hashim 2008).

Figures and Tables -
Summary of findings 3. Decreasing fluids compared to increasing fluids for the treatment of urinary incontinence in adults
Summary of findings 4. Caffeine reduction compared to control for the treatment of urinary incontinence in adults

Caffeine reduction compared to control for the treatment of urinary incontinence in adults

Patient or population: adults with urinary incontinence
Settings:
Intervention: caffeine reduction
Comparison: control

Outcomes

Illustrative comparative risks* (95% CI)

Relative effect
(95% CI)

No of participants
(studies)

Quality of the evidence
(GRADE)

Comments

Assumed risk

Corresponding risk

Control

Caffeine reduction

Cure rates by patient observation (all UI types) ‐ not reported

Not estimable

Improvement rates by patient observation (all UI types) ‐ not reported

Not estimable

Condition‐specific quality of life
ICIQ Overactive Bladder Symptoms Quality of Life. Scale from: 25 to 160. Better quality of life indicated by lower values.
Follow‐up: 2 weeks

The mean condition‐specific quality of life in the control groups was
68.36 points

The mean condition‐specific quality of life in the intervention groups was
14.45 lower
(95% CI not estimable)

Not estimable

11
(1 study1)

⊕⊝⊝⊝
very low2,3,4,5,6

Adverse effects ‐ not reported

Not estimable

Cure rates by symptom quantification (all UI types) ‐ not reported

Not estimable

Improvement rates by symptom quantification (all UI types) ‐ not reported

Not estimable

Incontinent episodes per day (all UI types)
Follow‐up: 4 weeks

The mean number of incontinent episodes per day (all UI types) in the control groups was
1.4

The mean number of incontinent episodes per day (all UI types) in the intervention groups was
0.2 lower
(1.02 lower to 0.62 higher)

Not estimable

74
(1 study7)

⊕⊝⊝⊝
very low2,4,5,6,8

*The basis for the assumed risk (e.g. the median control group risk across studies) is provided in footnotes. The corresponding risk (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
CI: confidence interval

GRADE Working Group grades of evidence
High quality: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: We are very uncertain about the estimate.

1 Randomised cross‐over trial; feasibility study.
2 Risk of bias: We downgraded the evidence by one level because blinding of participants, personnel and outcome assessors was probably not done.
3 Risk of bias: We downgraded the evidence by one level because the authors did not report or provide a description of an allocation concealment method.
4 Missing outcome data in > 20% of participants.
5 Indirectness: We downgraded the evidence by two levels because of short follow‐up < 12 months and because study participants included both continent and incontinent patients.
6 Imprecision: We downgraded the evidence by one level because confidence intervals for relative effect were not estimable.
7 A quasi‐randomised controlled trial based on health record numbers.
8 Risk of bias: We downgraded the evidence by one level because allocation concealment was inadequate (quasi‐randomisation based on health record numbers).

Figures and Tables -
Summary of findings 4. Caffeine reduction compared to control for the treatment of urinary incontinence in adults
Summary of findings 5. Lifestyle weight loss compared to metformin weight loss for the treatment of urinary incontinence in adults

Lifestyle weight loss compared to metformin weight loss for the treatment of urinary incontinence in adults

Patient or population: adults with urinary incontinence
Settings:
Intervention: lifestyle weight loss
Comparison: metformin weight loss

Outcomes

Illustrative comparative risks* (95% CI)

Relative effect
(95% CI)

No of participants
(studies)

Quality of the evidence
(GRADE)

Comments

Assumed risk

Corresponding risk

Metformin weight loss

Lifestyle weight loss

Cure rates by patient observation (all UI types) ‐ not reported

Not estimable

Improvement rates by patient observation (all UI types) ‐ not reported

Not estimable

Condition‐specific quality of life ‐ not reported

Not estimable

Adverse effects ‐ not reported

Not estimable

Cure rates by symptom quantification (all UI types) ‐ not reported

Not estimable

Improvement rates by symptom quantification (all UI types) ‐ not reported

Not estimable

Prevalence of weekly UI (all UI types)
Follow‐up: mean 2.8 years

482 per 1000

381 per 1000
(337 to 434)

RR 0.79
(0.7 to 0.9)

1294
(1 study)

⊕⊝⊝⊝
very low1,2,3,4

*The basis for the assumed risk (e.g. the median control group risk across studies) is provided in footnotes. The corresponding risk (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
CI: confidence interval; RR: risk ratio

GRADE Working Group grades of evidence
High quality: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: We are very uncertain about the estimate.

1 Risk of bias: We downgraded the evidence by one level because blinding of participants, personnel and outcome assessors was not mentioned and may introduce bias.
2 Risk of bias: We downgraded the evidence by one level because the authors did not report or provide a description of an allocation concealment method.
3 Missing outcome data in 11% of participants.
4 Indirectness: We downgraded the evidence by one level because data come from a sub‐study of a trial (Brown 2006) for diabetes that included continent as well as incontinent patients.

Figures and Tables -
Summary of findings 5. Lifestyle weight loss compared to metformin weight loss for the treatment of urinary incontinence in adults
Comparison 1. Weight loss versus no active intervention

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Improvement rates based on women's perception (all types UI) Show forest plot

1

Risk Ratio (M‐H, Fixed, 95% CI)

Totals not selected

1.1 At 6 months

1

Risk Ratio (M‐H, Fixed, 95% CI)

0.0 [0.0, 0.0]

2 Improvement rates based on women's perception (all types UI) Show forest plot

Other data

No numeric data

3 Quality of life and symptom scores Show forest plot

Other data

No numeric data

4 Cure rates based on quantification of symptoms (all types UI) Show forest plot

3

Risk Ratio (M‐H, Fixed, 95% CI)

Totals not selected

4.1 At 3 months

1

Risk Ratio (M‐H, Fixed, 95% CI)

0.0 [0.0, 0.0]

4.2 At 6 months

1

Risk Ratio (M‐H, Fixed, 95% CI)

0.0 [0.0, 0.0]

4.3 At 12 months

1

Risk Ratio (M‐H, Fixed, 95% CI)

0.0 [0.0, 0.0]

5 Cure rates based on quantification of symptoms (by type of UI) Show forest plot

Other data

No numeric data

6 Improvement rates based on quantification of symptoms (all types UI) Show forest plot

3

Risk Ratio (M‐H, Fixed, 95% CI)

Subtotals only

6.1 At 3 months

1

40

Risk Ratio (M‐H, Fixed, 95% CI)

16.5 [1.01, 270.78]

6.2 At 6 months

1

304

Risk Ratio (M‐H, Fixed, 95% CI)

1.85 [1.22, 2.81]

6.3 At 12 months

2

1032

Risk Ratio (M‐H, Fixed, 95% CI)

1.21 [1.02, 1.44]

6.4 At 18 months

1

287

Risk Ratio (M‐H, Fixed, 95% CI)

1.15 [0.86, 1.55]

7 Improvement rates based on quantification of symptoms (by type of UI) Show forest plot

Other data

No numeric data

8 Prevalence of weekly urinary incontinence after intervention (all types UI) Show forest plot

2

Risk Ratio (M‐H, Fixed, 95% CI)

Totals not selected

8.1 At 12 months

1

Risk Ratio (M‐H, Fixed, 95% CI)

0.0 [0.0, 0.0]

8.2 At 2.8 years

1

Risk Ratio (M‐H, Fixed, 95% CI)

0.0 [0.0, 0.0]

9 Prevalence of weekly urinary incontinence after intervention (by type of UI) Show forest plot

Other data

No numeric data

10 Incontinent episodes per week (% change from baseline; all UI types) Show forest plot

1

Mean Difference (IV, Fixed, 95% CI)

Totals not selected

10.1 At 6 months

1

Mean Difference (IV, Fixed, 95% CI)

0.0 [0.0, 0.0]

10.2 At 12 months

1

Mean Difference (IV, Fixed, 95% CI)

0.0 [0.0, 0.0]

10.3 At 18 months

1

Mean Difference (IV, Fixed, 95% CI)

0.0 [0.0, 0.0]

11 Incontinence episodes per week (% change from baseline; by type of UI) Show forest plot

Other data

No numeric data

Figures and Tables -
Comparison 1. Weight loss versus no active intervention
Comparison 2. Soy‐rich diet versus control

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Number of women with UI episodes: soy‐rich diet versus control Show forest plot

Other data

No numeric data

2 Mean UI symptom scores (SD; 0 = none, 1 = mild, 2 = moderate, 3 = severe): soy‐rich diet versus control Show forest plot

Other data

No numeric data

Figures and Tables -
Comparison 2. Soy‐rich diet versus control
Comparison 3. Increase in fluid intake versus decrease in fluid intake

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Median number of daily UI episodes (IQR) Show forest plot

Other data

No numeric data

2 Median number of daily UI episodes (range) Show forest plot

Other data

No numeric data

3 Mean number of daily UI episodes (any UI) Show forest plot

Other data

No numeric data

Figures and Tables -
Comparison 3. Increase in fluid intake versus decrease in fluid intake
Comparison 4. Caffeine reduction versus control

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Mean quality of life scores Show forest plot

Other data

No numeric data

2 Mean number of UI episodes per 24 hours (SD) Show forest plot

1

Mean Difference (IV, Fixed, 95% CI)

Totals not selected

Figures and Tables -
Comparison 4. Caffeine reduction versus control
Comparison 5. Lifestyle weight loss versus metformin

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Prevalence of weekly UI after intervention Show forest plot

1

Risk Ratio (M‐H, Fixed, 95% CI)

Totals not selected

1.1 All UI types at 2.8 years

1

Risk Ratio (M‐H, Fixed, 95% CI)

0.0 [0.0, 0.0]

1.2 Stress UI at 2.8 years

1

Risk Ratio (M‐H, Fixed, 95% CI)

0.0 [0.0, 0.0]

1.3 Urgency UI at 2.8 years

1

Risk Ratio (M‐H, Fixed, 95% CI)

0.0 [0.0, 0.0]

Figures and Tables -
Comparison 5. Lifestyle weight loss versus metformin