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Nguyen D, Liu Y, Kavanagh SA, Archibald D. Gender-sensitive community weight-loss programmes to address overweight and obesity in men: a scoping review. BMJ Open 2024; 14:e083646. [PMID: 38991680 PMCID: PMC11243212 DOI: 10.1136/bmjopen-2023-083646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/13/2024] Open
Abstract
OBJECTIVES To examine how gender-sensitive community weight-loss programmes have been used to address overweight and obesity in men and to identify what can be learnt from this rapidly evolving field. DESIGN Scoping review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping review checklist for reporting. DATA SOURCES A database search was conducted using EBSCOhost (Academic Search Complete, CINAHL Complete, Global Health, Health Source: Consumer Edition, Health Source: Nursing/Academic Edition and Medline Complete), Google, Google Scholar, Open Access Theses and Dissertations platform and Scopus. ELIGIBILITY CRITERIA All weight-loss programmes using a gender-sensitive approach to address men's overweight and obesity in community settings. DATA EXTRACTION AND SYNTHESIS Narrative synthesis was conducted based on the research questions and objectives. Primary outcomes include operationalisation, context and concept of the gender-sensitive approach. Information was reviewed and extracted to Microsoft Excel by two reviewers. RESULTS A total of 40 studies (28 quantitative, eight mixed methods and four qualitative) were identified from 4617 records. Gender-sensitive approaches were undertaken in a range of settings and contexts including professional sports clubs (n=21), non-professional sporting clubs (n=16), workplace-based (n=2) and commercial organisation-based (n=1). The most common analysis approaches were evaluating the effect of the programmes (n=31) where positive impact was predominantly shown (eg, up to 3.9 kg weight reduction at 3-month follow-up). Programmes (ie, Football Fans in Training) were short-term cost-effective (eg, the cost was £862-£2228 per 5% weight reduction at 12-month follow-up). Qualitative evidence highlights factors that influenced men's participation (eg, camaraderie) and identifies areas for improvement. CONCLUSION The findings demonstrate that gender-sensitive programmes for men's weight loss have been effectively applied using a range of different approaches and in a range of different contexts. Further evidence is needed to confirm the effectiveness of the programmes across diverse groups of men.
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Affiliation(s)
- Dieu Nguyen
- Deakin University, Institute for Health Transformation, School of Health and Social Development, Faculty of Health, Geelong, Victoria, Australia
| | - Yutong Liu
- Deakin University, Institute for Health Transformation, School of Health and Social Development, Faculty of Health, Geelong, Victoria, Australia
| | - Shane A Kavanagh
- Deakin University, Institute for Health Transformation, School of Health and Social Development, Faculty of Health, Geelong, Victoria, Australia
| | - Daryll Archibald
- La Trobe University, Olga Tennison Autism Research Centre, Bundoora, Victoria, Australia
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Hulbert LR, Michael SL, Charter-Harris J, Atkins C, Skeete RA, Cannon MJ. Effectiveness of Incentives for Improving Diabetes-Related Health Indicators in Chronic Disease Lifestyle Modification Programs: a Systematic Review and Meta-Analysis. Prev Chronic Dis 2022; 19:E66. [PMID: 36302383 PMCID: PMC9616129 DOI: 10.5888/pcd19.220151] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
INTRODUCTION We examined the effectiveness of providing incentives to participants in lifestyle modification programs to improve diabetes-related health indicators: body weight, body mass index (BMI), blood pressure, cholesterol, and hemoglobin A1C (HbA1C). We also examined the potential effect of 4 different incentive domains (ie, type, monetary value, attainment certainty, and schedule) on those indicators. METHODS We searched Medline, Embase, PsycINFO, and Cochrane Library to identify relevant studies published from January 2008 through August 2021. We used a random-effects model to pool study results and examine between-study heterogeneity by using the I2 statistic and the Cochran Q test. We also conducted moderator analyses by using a mixed-effects model to examine differences between subgroups of incentive domains (eg, incentive type [cash vs other types]). RESULTS Our search yielded 10,965 articles, of which 19 randomized controlled trials met our selection criteria. The random-effects model revealed that, relative to the control group, the incentive group had significant reductions in weight (-1.85kg; 95% CI, -2.40 to -1.29; P < .001), BMI (-0.47kg/m2; 95% CI, -0.71 to -0.22; P < .001), and both systolic blood pressure (-2.59 mm HG; 95% CI, -4.98 to -0.20; P = .03) and diastolic blood pressure (-2.62 mm Hg; 95% CI, -4.61 to -0.64; P = .01). A reduction in cholesterol level was noted but was not significant (-2.81 mg/dL; 95% CI, -8.89 to -3.28; P = .37). One study found a significant reduction in hemoglobin A1c (-0.17%; 95% CI, -0.30% to -0.05%; P < .05). The moderator analyses showed that the incentive effect did not vary significantly between the subgroups of the incentive domains, except on weight loss for the attainment certainty domain, suggesting that a variety of incentive subgroups could be equally useful. CONCLUSION Providing incentives in lifestyle modification programs is a promising strategy to decrease weight, BMI, and blood pressure.
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Affiliation(s)
- LaShonda R Hulbert
- CyberData Technologies, Inc, Herndon, Virginia
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, 4770 Buford Highway NE, Mailstop 107-3, Atlanta, GA 30341.
| | - Shannon L Michael
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Jasmine Charter-Harris
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
- Oak Ridge Institute for Science and Education, Oak Ridge, Tennessee
| | - Charisma Atkins
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Michael J Cannon
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
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Reading JM, Crane MM, Carlyle K, Perera RA, LaRose JG. A Self-Guided Lifestyle Intervention for Young Men: Findings from the ACTIVATE Randomized Pilot Trial. JOURNAL OF MEN'S HEALTH 2022; 18:191. [PMID: 36846742 PMCID: PMC9949796 DOI: 10.31083/j.jomh1809191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Background Young men are at high risk for developing obesity-related health complications, yet are markedly underrepresented in lifestyle interventions. This pilot study examined the feasibility and preliminary efficacy of a lifestyle intervention (self-guided + health risk messaging) targeting young men. Methods 35 young men (Age = 29.3 ± 4.27; BMI = 30.8 ± 4.26; 34% racial/ethnic minority) were randomly assigned to the intervention or delayed treatment control. The intervention (ACTIVATE) included 1 virtual group session, digital tools (wireless scale, self-monitoring app), access to self-paced content via a secure website, and 12 weekly texts to reinforce health risk messaging. Fasted objective weight was assessed remotely at baseline and 12-weeks. Perceived risk was assessed via survey at baseline, 2-week, and 12-week. T-tests were used to compare weight outcomes between arms. Linear regressions examined the association between percent weight change and perceived risk change. Results Recruitment was successful as evidenced by 109% of target enrollment achieved in a 2-month period. Retention was 86% at 12 weeks, with no differences by arm (p = 0.17). Participants in the intervention arm experienced modest weight loss at 12 weeks, whereas slight gains were observed in the control arm (-1.6% ± 2.5 vs. +0.31% ± 2.8, p = 0.04). Change in perceived risk was not associated with change in percent weight (p > 0.05). Conclusions A self-guided lifestyle intervention showed initial promise for weight management among young men, but these findings are limited by small sample size. More research is needed to bolster weight loss outcomes while retaining the scalable self-guided approach. Clinical Trial Registration NCT04267263 (https://www.clinicaltrials.gov/ct2/show/NCT04267263).
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Affiliation(s)
- Jean M. Reading
- Department of Health Behavior and Policy, Virginia Commonwealth University School of Medicine, Richmond, VA 23219, USA
| | - Melissa M. Crane
- Department of Preventive Medicine, Rush University Medical Center, Chicago, IL 60612, USA
| | - Kellie Carlyle
- Department of Health Behavior and Policy, Virginia Commonwealth University School of Medicine, Richmond, VA 23219, USA
| | - Robert A. Perera
- Department of Biostatistics, Virginia Commonwealth University School of Medicine, Richmond, VA 23219, USA
| | - Jessica Gokee LaRose
- Department of Health Behavior and Policy, Virginia Commonwealth University School of Medicine, Richmond, VA 23219, USA
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McDonald MD, Hunt K, Sivaramakrishnan H, Moullin J, Avenell A, Kerr DA, Birch JM, Ntoumanis N, Quested E. A systematic review examining socioeconomic factors in trials of interventions for men that report weight as an outcome. Obes Rev 2022; 23:e13436. [PMID: 35187778 PMCID: PMC9285916 DOI: 10.1111/obr.13436] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 01/28/2022] [Accepted: 01/28/2022] [Indexed: 12/19/2022]
Abstract
Weight management interventions designed specifically for men have become more common, but the extent to which socioeconomic factors are considered in trials of these interventions is unclear. We synthesized study characteristics, methods, and reporting of interventions with a behavioral component for men that report weight as an outcome, to establish the extent to which socioeconomic factors are considered during intervention design, conduct, and reporting. A comprehensive search was conducted on Medline, Embase, PsycINFO, and CENTRAL for studies published from January 2000 to July 2021. Thirty-six trials were included. Educational attainment (n = 24) was the most frequently reported socioeconomic characteristic, followed by working status (n = 14) and area level deprivation (n = 12). Seven studies did not report any socioeconomic characteristics. Most studies (n = 20) did not mention the socioeconomic profile of their samples in relation to study strengths or limitations. Few (n = 4) consulted with men from lower socioeconomic groups during intervention design. One study examined potential differential intervention effects across socioeconomic groups, with most not powered to do so. Recent feasibility trials (n = 3) targeting specific socioeconomic groups suggest a potential nascent towards a greater consideration of factors related to equity. To best inform public health policy related to health inequalities, greater consideration of socioeconomic factors is required in trials of men's weight management interventions.
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Affiliation(s)
- Matthew D McDonald
- Curtin School of Population Health, Curtin University, Perth, Western Australia, Australia.,Physical Activity and Well-Being Research Group, enAble Institute, Curtin University, Perth, Western Australia, Australia
| | - Kate Hunt
- Physical Activity and Well-Being Research Group, enAble Institute, Curtin University, Perth, Western Australia, Australia.,Institute for Social Marketing and Health, Faculty of Health Sciences and Sport, University of Stirling, Stirling, UK
| | - Hamsini Sivaramakrishnan
- Curtin School of Population Health, Curtin University, Perth, Western Australia, Australia.,Physical Activity and Well-Being Research Group, enAble Institute, Curtin University, Perth, Western Australia, Australia
| | - Joanna Moullin
- Curtin School of Population Health, Curtin University, Perth, Western Australia, Australia
| | - Alison Avenell
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
| | - Deborah A Kerr
- Curtin School of Population Health, Curtin University, Perth, Western Australia, Australia.,Curtin Health Innovation Research Institute, Curtin University, Perth, Western Australia, Australia
| | - Jack M Birch
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Nikos Ntoumanis
- Physical Activity and Well-Being Research Group, enAble Institute, Curtin University, Perth, Western Australia, Australia.,Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark.,School of Health and Welfare, Halmstad University, Halmstad, Sweden
| | - Eleanor Quested
- Curtin School of Population Health, Curtin University, Perth, Western Australia, Australia.,Physical Activity and Well-Being Research Group, enAble Institute, Curtin University, Perth, Western Australia, Australia
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Li R, Zhang Y, Cai X, Luo D, Zhou W, Long T, Zhang H, Jiang H, Li M. The nudge strategies for weight loss in adults with obesity and overweight: A systematic review and meta-analysis. Health Policy 2021; 125:1527-1535. [PMID: 34772518 DOI: 10.1016/j.healthpol.2021.10.010] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 10/26/2021] [Accepted: 10/29/2021] [Indexed: 12/28/2022]
Abstract
Obesity and overweight conditions have become major health challenges worldwide. The exploration of effective weight loss strategies is essential. Nudges are currently advancing approaches that represent a new and better method for changing the behaviors of people. However, the effectiveness of nudge interventions on weight loss in overweight people who may be obese has not been synthesized in a systematic manner. In this study, a systematic literature search was performed. Only randomized controlled trials (RCTs) were considered. Weighted mean differences (WMDs) and 95% confidence intervals (CIs) were calculated as summary statistics. In total, 25 RCTs involving a population of 5,929 individuals were included. Significant effects of the nudge strategy on weight loss (WMD: -0.96 kg, 95% CI: -1.49 to -0.43), body mass index (WMD: -0.3 kg/m2, 95% CI: -0.41 to -0.19) and waist circumference (WMD: -0.75 cm, 95% CI: -1.23 to -0.27) were observed. The subgroup analysis showed that the reduction in body weight associated with nudge interventions was significant in younger and more obese people. Moreover, the effect of nudge intervention on weight loss weakened over time. Overall, the nudge strategy can promote changes in weight loss, body mass index and waist circumference of adults, albeit at a mild magnitude and in particular types of individuals. Nudge strategies can be recommended to clinical practitioners and policy-makers to promote obesity management.
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Affiliation(s)
- Ruxue Li
- School of Nursing, Peking University, Beijing, China
| | - Yating Zhang
- School of Nursing, Peking University, Beijing, China
| | - Xue Cai
- Zhongda Hospital Southeast University, Nanjing, China
| | - Dan Luo
- School of Nursing, Nanjing University of Chinese Medicine, Nanjing, China
| | - Wuai Zhou
- Department of Automation, Tsinghua University, Beijing, China
| | - Tianxue Long
- School of Nursing, Peking University, Beijing, China
| | - Huijing Zhang
- School of Nursing, Peking University, Beijing, China
| | - Hua Jiang
- School of Nursing, Peking University, Beijing, China
| | - Mingzi Li
- School of Nursing, Peking University, Beijing, China.
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