Top

Journal of Public Health

Published in:

01-02-2016 | Original Article

Greater bed- and wake-time variability is associated with less healthy lifestyle behaviors: a cross-sectional study

Authors: Mitch J Duncan, Christopher E Kline, Amanda L Rebar, Corneel Vandelanotte, Camille E Short

Published in: Journal of Public Health | Issue 1/2016

Abstract

Aim

This study examines associations between the variability in bed/rise times, usual bed/rise time and dietary quality, physical activity, alcohol consumption, sitting time, sleep insufficiency and a composite index of behaviors.

Subject and methods

A random sample of Australian adults drawn from an online Panel cohort in 2013 completed a cross-sectional online survey. A total of 1,317 participants, median age 57 (IQR = 20) completed the survey. Bed- and wake times, variability in bed- and wake-times, dietary quality, physical activity, alcohol consumption, sitting time, sleep insufficiency and socio-demographics were assessed using a questionnaire. Associations were examined with generalized linear models.

Results

Having bed - times that varied by >30 min were associated with lower dietary quality, higher alcohol consumption, higher sitting time, more frequent insufficient sleep and poorer overall pattern of lifestyle behaviors. Greater variability in wake times, usual bed times and usual wake times were inconsistently associated with lifestyle behaviours.

Conclusions

Greater bed-time variability is associated with a less healthy pattern of lifestyle behaviors. Greater consistency in sleep timing may contribute to, or be reflective of, a healthier lifestyle.

Baron KG, Reid KJ, Kern AS, Zee PC (2011) Role of sleep timing in caloric intake and BMI. Obesity 19:1374–1381CrossRefPubMed

Bliwise DL, Ansari FP, Straight L-B, Parker KP (2005) Age changes in timing and 24-hour distribution of self-reported sleep. Am J Geriatr Psychiatry 13:1077–1082. doi:10.1097/00019442-200512000-00007 CrossRefPubMed

Brown WJ, Bauman A, Chey T, Trost S, Mummery K (2004a) Comparison of surveys used to measure physical activity. Aust N Z J Public Health 28:128–134CrossRefPubMed

Brown WJ, Bauman A, Trost S, Mummery WK, Owen N (2004b) Test-retest reliability of four physical activity measures used in population surveys. J Sci Med Sport 7:205–215CrossRefPubMed

Bush K, Kivlahan DR, McDonell MB, Fihn SD, Bradley KA (1998) The AUDIT alcohol consumption questions (AUDIT-C): an effective brief screening test for problem drinking. Ambulatory Care Quality Improvement Project (ACQUIP). Alcohol Use Disorders Identification Test. Arch Intern Med 158:1789–1795CrossRefPubMed

Buysse DJ (2014) Sleep health: can we define It? Does it matter? Sleep 37:9–17PubMedPubMedCentral

Buysse DJ, Cheng Y, Germain A, Moul DE, Franzen PL, Fletcher M, Monk TH (2010) Night-to-night sleep variability in older adults with and without chronic insomnia. Sleep Med 11:56–64CrossRefPubMedPubMedCentral

Cappuccio FP, D’Elia L, Strazzullo P, Miller MA (2010) Quantity and quality of sleep and incidence of type 2 diabetes a systematic review and meta-analysis. Diabetes Care 33:414–420CrossRefPubMedPubMedCentral

Center for Disease Control (CDC) (2009) Behavioral Risk factor Surveillance System Survey Questionnaire. US Department of Health and Human Services, Centers for Disease Control and Prevention, Atlanta, GA

Chaput J-P (2014) Sleep patterns, diet quality and energy balance. Physiol Behav 134:86–91. doi:10.1016/j.physbeh.2013.09.006 CrossRefPubMed

Chau JY, van der Ploeg HP, Dunn S, Kurko J, Bauman AE (2011) A tool for measuring workers’ sitting time by domain: the workforce sitting questionnaire. Br J Sports Med 45:1216–1222. doi:10.1136/bjsports-2011-090214 CrossRefPubMed

Ding D, Rogers K, Macniven R, Kamalesh V, Kritharides L, Chalmers J, Bauman A (2014) Revisiting lifestyle risk index assessment in a large Australian sample: should sedentary behavior and sleep be included as additional risk factors? Prev Med 60:102–106. doi:10.1016/j.ypmed.2013.12.021 CrossRefPubMed

Duncan MJ, Kline CE, Vandelanotte C, Sargent C, Rogers NL, Di Milia L (2014) Cross-sectional associations between multiple lifestyle behaviors and health-related quality of life in the 10,000 Steps cohort. PLoS One 9:e94184. doi:10.1371/journal.pone.0094184 CrossRefPubMedPubMedCentral

Empana J-P et al (2009) Excessive daytime sleepiness is an independent risk indicator for cardiovascular mortality in community-dwelling elderly: the three city study. Stroke 40:1219–1224. doi:10.1161/strokeaha.108.530824 CrossRefPubMed

Ford ES, Zhao G, Tsai J, Li C (2011) Low-risk lifestyle behaviors and all-cause mortality: findings from the National Health and Nutrition Examination Survey III Mortality Study. Am J Public Health 101:1922–1929. doi:10.2105//ajph.2011.300167 CrossRefPubMedPubMedCentral

Gomersall SR, Olds TS, Ridley K (2011) Development and evaluation of an adult use-of-time instrument with an energy expenditure focus. J Sci Med Sport/Sports Med Aust 14:143–148. doi:10.1016/j.jsams.2010.08.006 CrossRef

Grandner MA, Hale L, Moore M, Patel NP (2010) Mortality associated with short sleep duration: the evidence, the possible mechanisms, and the future. Sleep Med Rev 14:191–203. doi:10.1016/j.smrv.2009.07.006 CrossRefPubMedPubMedCentral

Haraszti RA, Purebl G, Salavecz G, Poole L, Dockray S, Steptoe A (2014) Morningness-eveningness interferes with perceived health, physical activity, diet and stress levels in working women: a cross-sectional study. Chronobiol Int 31:829–837. doi:10.3109/07420528.2014.911188 CrossRefPubMed

Hillman DR, Lack LC (2013) Public health implications of sleep loss: the community burden. Med J Aust 199:7–10CrossRef

Hoevenaar-Blom MP, Spijkerman AM, Kromhout D, Verschuren WM (2013) Sufficient sleep duration contributes to lower cardiovascular disease risk in addition to four traditional lifestyle factors. Eur J Prev Cardiol

Holliday EG, Magee CA, Kritharides L, Banks E, Attia J (2013) Short sleep duration is associated with risk of future diabetes but not cardiovascular disease: a prospective study and meta-analysis. PLoS One 8:e82305. doi:10.1371/journal.pone.0082305 CrossRefPubMedPubMedCentral

Irish LA, Kline CE, Gunn HE, Buysse DJ, Hall MH (2014a) The role of sleep hygiene in promoting public health: a review of empirical evidence. Sleep Med Rev. doi:10.1016/j.smrv.2014.10.001 PubMed

Irish LA et al (2014b) A 24-hour approach to the study of health behaviors: temporal relationships between waking health behaviors and sleep. Ann Behav Med 47:189–197CrossRefPubMedPubMedCentral

Kaneita Y (2014) Sleep and health promotion. Sleep Biol Rhythm 12:73CrossRef

Kanerva N et al (2012) Tendency toward eveningness is associated with unhealthy dietary habits. Chronobiol Int 29:920–927. doi:10.3109/07420528.2012.699128 CrossRefPubMed

Kline CE, Irish LA, Buysse DJ, Kravitz HM, Okun ML, Owens JF, Hall MH (2014) Sleep hygiene behaviors among midlife women with insomnia or sleep-disordered breathing: the SWAN sleep study. J Womens Health (Larchmt) 23:894–903. doi:10.1089/jwh.2014.4730 CrossRef

Knutson KL (2010) Sleep duration and cardiometabolic risk: a review of the epidemiologic evidence. Best Pract Res Clin Endocrinol Metab 24:731–743. doi:10.1016/j.beem.2010.07.001 CrossRefPubMedPubMedCentral

Lambiase MJ, Gabriel KP, Kuller LH, Matthews KA (2013) Temporal relationships between physical activity and sleep in older women. Med Sci Sports Exerc 45:2362–2368. doi:10.1249/MSS.0b013e31829e4cea CrossRefPubMed

Liu Y et al (2013) Association between perceived insufficient sleep, frequent mental distress, obesity and chronic diseases among US adults, 2009 behavioral risk factor surveillance system. BMC Public Health 13:84CrossRefPubMedPubMedCentral

Lucassen EA et al (2013) Evening chronotype is associated with changes in eating behavior, more sleep apnea, and increased stress hormones in short sleeping obese individuals. PLoS ONE 8:e56519. doi:10.1371/journal.pone.0056519 CrossRefPubMedPubMedCentral

Luyster FS, Strollo PJ Jr, Zee PC, Walsh JK (2012) Sleep: a health imperative. Sleep 35:727–734. doi:10.5665/sleep.1846 CrossRefPubMedPubMedCentral

Manber R, Bootzin RR, Acebo C, Carskadon MA (1996) The effects of regularizing sleep-wake schedules on daytime sleepiness. Sleep 19:432–441PubMed

Martinez-Gomez D, Guallar-Castillon P, Leon-Munoz LM, Lopez-Garcia E, Rodriguez-Artalejo F (2013) Combined impact of traditional and non-traditional health behaviors on mortality: a national prospective cohort study in Spanish older adults. BMC Med 11:47. doi:10.1186/1741-7015-11-47 CrossRefPubMedPubMedCentral

McGlinchey EL, Harvey AG (2015) Risk behaviors and negative health outcomes for adolescents with late bedtimes. J Youth Adolesc 44:478–488. doi:10.1007/s10964-014-0110-2 CrossRefPubMedPubMedCentral

Monk TH, Buysse DJ, Billy BD, Fletcher ME, Kennedy KS, Schlarb JE, Beach SR (2011) Circadian type and bed-timing regularity in 654 retired seniors: correlations with subjective sleep measures. Sleep 34:235–239PubMedPubMedCentral

Monk TH, Buysse DJ, Kennedy KS, Pods JM, DeGrazia JM, Miewald JM (2003) Measuring sleep habits without using a diary: the sleep timing questionnaire. Sleep 26:208–212PubMed

Morin CM (2011) Psychological and behavioral treatments for insomnia I: approaches and efficacy, chap 79. In: Dement MHKRC (ed) Principles and practice of sleep medicine, 5th edn. Saunders, Philadelphia, pp 866–883. doi:10.1016/B978-1-4160-6645-3.00079-7 CrossRef

O’Reilly S, McCann L (2012) Development and validation of the diet quality tool for use in cardiovascular disease prevention settings. Aust J Prim Health 18:138–147CrossRefPubMed

Pimm R, Vandelanotte C, Rhodes RE, Short C, Duncan MJ, Rebar AL (2015) Cue consistency associated with physical activity automaticity and behavior. Behav Med 11:1–6. doi:10.1080/08964289.2015.1017549

Prochaska JJ, Velicer WF, Nigg CR, Prochaska JO (2008) Methods of quantifying change in multiple risk factor interventions. Prev Med 46:260–265. doi:10.1016/j.ypmed.2007.07.035 CrossRefPubMedPubMedCentral

Sato-Mito N, Shibata S, Sasaki S, Sato K (2011) Dietary intake is associated with human chronotype as assessed by both morningness-eveningness score and preferred midpoint of sleep in young Japanese women. Int J Food Sci Nutr 62:525–532. doi:10.3109/09637486.2011.560563 CrossRefPubMed

Shankar A, Syamala S, Kalidindi S (2010) Insufficient rest or sleep and its relation to cardiovascular disease, diabetes and obesity in a national, multiethnic sample. PLoS One 5:e14189. doi:10.1371/journal.pone.0014189 CrossRefPubMedPubMedCentral

Shechter A, St-Onge MP (2014) Delayed sleep timing is associated with low levels of free-living physical activity in normal sleeping adults. Sleep Med 15:1586–1589. doi:10.1016/j.sleep.2014.07.010 CrossRefPubMedPubMedCentral

Soehner AM, Kennedy KS, Monk TH (2011) Circadian preference and sleep-wake regularity: associations with self-report sleep parameters in daytime-working adults. Chronobiol Int 28:802–809. doi:10.3109/07420528.2011.613137 CrossRefPubMedPubMedCentral

Spruyt K (2014) Our 21st century health identity: where is sleep? J Public Health 22:87–88CrossRef

Stanton R, Guertler D, Duncan MJ, Vandelanotte C (2014) Validation of a pouch-mounted activPAL3 accelerometer. Gait Posture. doi:10.1016/j.gaitpost.2014.07.024

Stepanski EJ, Wyatt JK (2003) Use of sleep hygiene in the treatment of insomnia. Sleep Med Rev 7:215–225. doi:10.1053/smrv.2001.0246 CrossRefPubMed

Strine TW, Chapman DP (2005) Associations of frequent sleep insufficiency with health-related quality of life and health behaviors. Sleep Med 6:23–27. doi:10.1016/j.sleep.2004.06.003 CrossRefPubMed

Watson NF, Buchwald D, Harden KP (2013) A twin study of genetic influences on diurnal preference and risk for alcohol use outcomes. J Clin Sleep Med 9:1333–1339. doi:10.5664/jcsm.3282 PubMedPubMedCentral

Wheaton AG, Perry GS, Chapman DP, McKnight-Eily LR, Presley-Cantrell LR, Croft JB (2011) Relationship between body mass index and perceived insufficient sleep among U.S. adults: an analysis of 2008 BRFSS data. BMC Public Health 11:295. doi:10.1186/1471-2458-11-295 CrossRefPubMedPubMedCentral

Wittmann M, Dinich J, Merrow M, Roenneberg T (2006) Social jetlag: misalignment of biological and social time. Chronobiol Int 23:497–509. doi:10.1080/07420520500545979 CrossRefPubMed

Title: Greater bed- and wake-time variability is associated with less healthy lifestyle behaviors: a cross-sectional study
Authors: Mitch J Duncan
Christopher E Kline
Amanda L Rebar
Corneel Vandelanotte
Camille E Short
Publication date: 01-02-2016
Publisher: Springer Berlin Heidelberg
Published in: Journal of Public Health / Issue 1/2016
Print ISSN: 2198-1833
Electronic ISSN: 1613-2238
DOI: https://doi.org/10.1007/s10389-015-0693-4

2024 ASCO Annual Meeting

Springer Medicine

Greater bed- and wake-time variability is associated with less healthy lifestyle behaviors: a cross-sectional study

Abstract

Aim

Subject and methods

Results

Conclusions

2024 ASCO Annual Meeting

Springer Medicine

Abstract

Aim

Subject and methods

Results

Conclusions

Please log in to get access to this content

Other articles of this Issue 1/2016

Letter from the new editor-in-chief: my perspective for future development

Congenital heart defects among Down syndrome patients: a clinical profiling

Building capacity to reduce health inequalities through health promotion in Europe

Visual and participatory research techniques: photo-elicitation and its potential to better inform public health about physical activity and eating behavior in underserved populations

The characteristics of diagnosis, patient care and education of asthma and COPD patients from the perspective of the actors in the Hungarian healthcare system

Screening questionnaires to identify problem drinking in the primary care setting: a systematic review