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At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.
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Annals of Behavioral Medicine
Published in: Annals of Behavioral Medicine 2/2013

01-04-2013 | Original Article

The SHED-IT Community Trial: A Randomized Controlled Trial of Internet- and Paper-Based Weight Loss Programs Tailored for Overweight and Obese Men

Authors: Philip J. Morgan, Ph.D., Robin Callister, Ph.D., Clare E. Collins, Ph.D, Ronald C. Plotnikoff, Ph.D, Myles D. Young, B.Psych, Nina Berry, Ph.D., Patrick McElduff, Ph.D., Tracy Burrows, Ph.D., Elroy Aguiar, B.Biomed.Sc., Kristen L. Saunders, B.App.Sci.

Published in: Annals of Behavioral Medicine | Issue 2/2013

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Abstract

Background

There is limited evidence for effective obesity treatment programs that engage men.

Purpose

This study evaluated the efficacy of two gender-tailored weight loss interventions for men, which required no face-to-face contact.

Methods

This was a three-arm, randomized controlled trial: (1) Resources (n = 54), gender-tailored weight loss materials (DVD, handbooks, pedometer, tape measure); (2) Online (n = 53), Resources materials plus study website and e-feedback; and (3) Wait-list control (n = 52). The interventions lasted 3 months and were grounded in Social Cognitive Theory.

Results

At 6 months, significantly greater weight loss was observed for the Online (−4.7 kg; 95 % CI −6.1, −3.2) and Resources (−3.7 kg; 95 % CI −4.9, −2.5) groups compared to the control (−0.5 kg; 95 % CI −1.4, 0.4). Additionally, both intervention groups significantly improved body mass index, percent body fat, waist circumference, blood pressure, physical activity, quality of life, alcohol risk, and portion size, compared to controls.

Conclusions

Men achieved significant weight loss after receiving novel, minimal-contact, gender-tailored programs, which were designed for widespread dissemination.
Literature
1.
Finucane MM, Stevens GA, Cowan MJ, et al. National, regional, and global trends in body-mass index since 1980: Systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9.1 million participants. Lancet. 2011;377:557-567.
2.
Wirth A, Steinmetz B. Gender differences in changes in subcutaneous and intra-abdominal fat during weight reduction: An ultrasound study. Obes Res. 1998;6:393-399.
3.
Australian Bureau of Statistics: Overweight and obesity in adults in Australia: A snapshot, 2007–2008. Canberra, 2011.
4.
Pagoto SL, Schneider KL, Oleski JL, et al. Male Inclusion in Randomized Controlled Trials of Lifestyle Weight Loss Interventions. Obesity. 2012;20:1234-1239.PubMedCrossRef
5.
Gray CM, Anderson AS, Clarke AM, et al. Addressing male obesity: An evaluation of a group-based weight management intervention for Scottish men. J Mens Health. 2009;6:70-81.
6.
Sabinsky MS, Toft U, Raben A, Holm L. Overweight men’s motivations and perceived barriers towards weight loss. Eur J Clin Nutr. 2007;61:526-531.PubMed
7.
Egger G. Intervening in men's nutrition: Lessons from the GutBuster men's 'waist loss' program. Aust J Nutr Diet. 2000;57:46-49.
8.
Morgan PJ, Warren JM, Lubans DR, Collins CE, Callister R. Engaging men in weight loss: Experiences of men who participated in the male only SHED-IT pilot study. Obes Res Clin Prac. 2011;5:e239-e248.CrossRef
9.
Young MD, Morgan PJ, Plotnikoff RC, Callister R, Collins CE. Effectiveness of male-only weight loss and weight loss maintenance interventions: A systematic review with meta-analysis. Obes Rev. 2012;13:393-408.
10.
Egger G, Bolton A, O'Neill M, Freeman D. Effectiveness of an abdominal obesity reduction programme in men: The GutBuster 'waist loss' programme. Int J Obes Relat Metab Disord. 1996;20:227-231.
11.
Collins CE, Morgan PJ, Warren JM, Lubans DR, Callister R. Men participating in a weight-loss intervention are able to implement key dietary messages, but not those relating to vegetables or alcohol: The Self-Help, Exercise and Diet using Internet Technology (SHED-IT) study. Public Health Nutr. 2011;14:168-175.
12.
Lubans D, Morgan P, Collins C, Warren J, Callister R. Exploring the mechanisms of weight loss in the SHED-IT intervention for overweight men: A mediation analysis. Int J Behav Nutr Phys Act. 2009;6:76.
13.
Morgan PJ, Lubans DR, Collins CE, Warren JM, Callister R. The SHED-IT Randomized Controlled Trial: Evaluation of an Internet-based Weight Loss Program for Men. Obesity. 2009;17:2025-2032.PubMedCrossRef
14.
Morgan PJ, Lubans DR, Collins CE, Warren JM, Callister R. 12-Month Outcomes and Process Evaluation of the SHED-IT RCT: An Internet-Based Weight Loss Program Targeting Men. Obesity. 2011;19:142-151.PubMedCrossRef
15.
Morgan PJ, Collins CE, Plotnikoff RC, et al. The SHED-IT community trial study protocol: A randomised controlled trial of weight loss programs for overweight and obese men. BMC Public Health. 2010;10:701.
16.
Norton K. Sports Medicine Australia pre-exercise screening system. Sports Medicine Australia (SMA), 2005.
17.
Morgan PJ, Lubans DR, Callister R, et al. The 'Healthy Dads, Healthy Kids' randomized controlled trial: Efficacy of a healthy lifestyle program for overweight fathers and their children. Int J Obes. 2011;35:436-447.
18.
Bandura A. Social foundations of thought and action: A Social Cognitive Theory. Englewood Cliffs, NJ: Prentice-Hall; 1986.
19.
Gough B, Conner MT. Barriers to healthy eating amongst men: A qualitative analysis. Soc Sci Med. 2006;62:387-395.
20.
Kiefer I, Rathemanner T, Kunze M. Eating and dieting differences in men and women. J Mens Health Gend. 2005;2:194-201.CrossRef
21.
Lewis S, Thomas SL, Hyde J, Castle DJ, Komesaroff PA. A qualitative investigation of obese men's experiences with their weight. Am J Health Behav. 2011;35:458-469.PubMedCrossRef
22.
Smith JA, Braunack-Mayer AJ, Wittert GA, Warin MJ. Qualities men value when communicating with general practitioners: Implications for primary care settings. Med J Aust. 2008;189:618-621.
23.
24.
Australian Bureau of Statistics: Socio-economic Indexes for Areas (SEIFA) Australia- 2006: Postal Areas, Index of Relative Socio-economic Advantage and Disadvantage No. ABS catalogue 2033.0.55.001. Canberra: Commonwealth of Australia, 2008.
25.
World Health Organization (WHO): Waist circumference and waist-hip ratio: Report of a WHO expert consultation. Geneva, Switzerland: WHO, 8–11 December 2008.
26.
Gibson AL, Holmes JC, Desautels RL, Edmonds LB, Nuudi L. Ability of new octapolar bioimpedance spectroscopy analyzers to predict 4-component-model percentage body fat in Hispanic, black, and white adults. Am J Clin Nutr. 2008;87:332-338.PubMed
27.
Le Masurier GC, Lee SM, Tudor-Locke C. Motion sensor accuracy under controlled and free-living conditions. Med Sci Sports Exerc. 2004;36:905-910.PubMed
28.
Steeves JA, Silcott NA, Bassett DR, Thompson DL, Fitzhugh EC. Evaluation of the Omron HJ-720ITC Pedometer under Free-Living Conditions. Med Sci Sports Exerc. 2011;43:1791-1797.PubMedCrossRef
29.
Marshall AL, Miller YD, Burton NW, Brown WJ. Measuring total and domain-specific sitting: A study of reliability and validity. Med Sci Sports Exerc. 2010;42:1094-1102.
30.
Watson J, Collins C, Sibbritt D, Dibley M, Garg M. Reproducibility and comparative validity of a food frequency questionnaire for Australian children and adolescents. Int J Behav Nutr Phys Act. 2009;6:62.PubMedCrossRef
31.
Giles GG, Ireland PD. Dietary Questionnaire for Epidemiological Studies (Version 2). Melbourne: The Cancer Council Victoria; 1996.
32.
Saunders JB, Aasland OG, Babor TF, de la Fuente JR, Grant M. Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO Collaborative Project on Early Detection of Persons with Harmful Alcohol Consumption–II. Addiction. 1993;88:791-804.PubMedCrossRef
33.
Allen JP, Litten RZ, Fertig JB, Babor T. A review of research on the Alcohol Use Disorders Identification Test (AUDIT). Alcohol Clin Exp Res. 1997;21:613-619.PubMedCrossRef
34.
Ware J Jr. Kosinski M, Keller SD: A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity. Med Care. 1996;34:220-233.PubMedCrossRef
35.
Johns MW. A new method for measuring daytime sleepiness: The Epworth sleepiness scale. Sleep. 1991;14:540-545.
36.
Fayers P, King M. The baseline characteristics did not differ significantly. Qual Life Res. 2008;17:1047-1048.PubMedCrossRef
37.
White IR, Horton NJ, Carpenter J, Pocock SJ. Strategy for intention to treat analysis in randomised trials with missing outcome data. Br Med J. 2011;342:d40.CrossRef
38.
Moher D, Hopewell S, Schulz KF, et al. CONSORT 2010 Explanation and Elaboration: Updated guidelines for reporting parallel group randomised trials. Br Med J. 2010;340:c869.
39.
Neve M, Morgan P, Collins C. Weight change in a commercial web-based weight loss program and its association with website use: Cohort study. J Med Int Res. 2011;13:e83.
40.
Diabetes Prevention Program Research Group. Reduction in the Incidence of Type 2 Diabetes with Lifestyle Intervention or Metformin. N Eng J Med. 2002;346:393-403.CrossRef
41.
Patrick K, Calfas KJ, Norman GJ, et al. Outcomes of a 12-month web-based intervention for overweight and obese men. Ann Behav Med. 2011;42:391-401.PubMedCrossRef
42.
Tanaka M, Adachi Y, Adachi K, Sato C. Effects of a non-face-to-face behavioral weight-control program among Japanese overweight males: a randomized controlled trial. Int J Behav Med. 2010;17:17-24.PubMedCrossRef
43.
Leslie WS, Lean MEJ, Baillie HM, Hankey C. Weight management: A comparison of existing dietary approaches in a work-site setting. Int J Obes. 2002;26:1469-1475.
44.
Janssen I, Katzmarzyk PT, Ross R. Body mass index, waist circumference, and health risk: Evidence in support of current National Institutes of Health guidelines. Arch Intern Med. 2002;162:2074-2079.
45.
Neve M, Morgan PJ, Jones PR, Collins CE. Effectiveness of web-based interventions in achieving weight loss and weight loss maintenance in overweight and obese adults: A systematic review with meta-analysis. Obes Rev. 2010;11:306-321.
46.
Norman GJ, Zabinski MF, Adams MA, et al. A Review of eHealth Interventions for Physical Activity and Dietary Behavior Change. Am J Prev Med. 2007;33:336-345.PubMedCrossRef
47.
Donnelly JE, Blair SN, Jakicic JM, et al. American College of Sports Medicine Position Stand. Appropriate physical activity intervention strategies for weight loss and prevention of weight regain for adults. Med Sci Sports Exerc. 2009;41:459-471.PubMed
48.
George ES, Kolt GS, Duncan MJ, et al. A Review of the Effectiveness of Physical Activity Interventions for Adult Males. Sports Med. 2012;42:281-300.PubMedCrossRef
49.
Barker R, Cooke B. Diet, obesity and being overweight: A qualitative research study. Health Educ J. 1992;51:117-121.
50.
Jackson M, Ball K, Crawford D. Beliefs about the causes of weight change in the Australian population. Int J Obes. 2001;25:1512-1516.CrossRef
51.
Australian Bureau of Statistics: Alcohol Consumption in Australia: A Snapshot, 2004–05 No. 4832.0.55.001. Canberra, 2006.
Metadata
Title
The SHED-IT Community Trial: A Randomized Controlled Trial of Internet- and Paper-Based Weight Loss Programs Tailored for Overweight and Obese Men
Authors
Philip J. Morgan, Ph.D.
Robin Callister, Ph.D.
Clare E. Collins, Ph.D
Ronald C. Plotnikoff, Ph.D
Myles D. Young, B.Psych
Nina Berry, Ph.D.
Patrick McElduff, Ph.D.
Tracy Burrows, Ph.D.
Elroy Aguiar, B.Biomed.Sc.
Kristen L. Saunders, B.App.Sci.
Publication date
01-04-2013
Publisher
Springer-Verlag
Published in
Annals of Behavioral Medicine / Issue 2/2013
Print ISSN: 0883-6612
Electronic ISSN: 1532-4796
DOI
https://doi.org/10.1007/s12160-012-9424-z

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