» Articles » PMID: 29317379

Effect of a Gender-Tailored EHealth Weight Loss Program on the Depressive Symptoms of Overweight and Obese Men: Pre-Post Study

Overview
Date 2018 Jan 11
PMID 29317379
Citations 10
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Obesity and depression are of two of the largest contributors to the global burden of disease in men. Although lifestyle behavior change programs can improve participants' weight and depressive symptoms, the evidence is limited by a lack of male participants and a reliance on face-to-face treatment approaches, which are not accessible or appealing for many men.

Objective: This study examined the effect of a gender-tailored electronic health (eHealth) program on the depressive symptoms of a community sample of overweight and obese men with or without depression. A secondary aim was to determine whether the eHealth, self-directed format of the program was a feasible and acceptable treatment approach for the subgroup of men with depression at baseline.

Methods: In total, 209 overweight/obese men from the Hunter Region of Australia were assessed before and after completing a self-administered eHealth weight loss program over 3 months. To increase engagement, most program elements were socio-culturally targeted to appeal specifically to men and included printed materials, a DVD, motivational text messages, online- or app-based self-monitoring, and other weight loss tools (eg, pedometer). Depressive symptoms were measured with the validated 8-item Patient Health Questionnaire (PHQ-8). Program feasibility and acceptability were assessed with a process questionnaire plus recruitment and retention rates. Changes in depressive symptoms and weight were examined using intention-to-treat linear mixed models, adjusted for the centered baseline score and other covariates. Effect sizes were estimated with Cohen's d.

Results: At baseline, the mean weight and age of the sample was 105.7 kg (standard deviation [SD] 14.0) and 46.6 years (SD 11.3), respectively. Overall, 36 men (36/209, 17.2%) were experiencing depression (PHQ-8 score ≥10). Retention rates were comparable between men with and without depression (32/36, 88.9% vs 145/173, 83.8%; P=.44). At posttest, depressive symptoms had reduced by 1.8 units (95% CI 1.3 to 2.3; P<.001; d=0.5) for the whole sample. These improvements were particularly notable in the subgroup of men with depression (-5.5 units; P<.001; d=1.0) and 72.2% (26/36) of this subgroup no longer met the criterion for depression at posttest. A corresponding, albeit smaller, intervention effect on depressive symptoms was also observed in men without depression (-1.0 units; P<.001; d=0.4). The overall intervention effect on weight was -4.7 kg (d=1.3), which did not vary significantly by depression status. Program acceptability, feasibility, and online engagement metrics were also comparable between men with and without depression.

Conclusions: A gender-tailored eHealth lifestyle program generated short-term improvements in the mental health of overweight and obese men, particularly for men with depression at baseline. Despite receiving no personalized support, men with depression reported high levels of satisfaction and engagement with the program. As such, a longer-term controlled trial testing an adapted version of the program for this subgroup is warranted.

Trial Registration: Australian New Zealand Clinical Trials Registry: ACTRN12612000749808; https://www.anzctr.org.au/ Trial/Registration/TrialReview.aspx?id=362575 (Archived by WebCite at http://www.webcitation.org/6wJvbRsNW).

Citing Articles

User Engagement With mHealth Interventions to Promote Treatment Adherence and Self-Management in People With Chronic Health Conditions: Systematic Review.

Eaton C, Vallejo N, McDonald X, Wu J, Rodriguez R, Muthusamy N J Med Internet Res. 2024; 26:e50508.

PMID: 39316431 PMC: 11462107. DOI: 10.2196/50508.


Gender-sensitive community weight-loss programmes to address overweight and obesity in men: a scoping review.

Nguyen D, Liu Y, Kavanagh S, Archibald D BMJ Open. 2024; 14(7):e083646.

PMID: 38991680 PMC: 11243212. DOI: 10.1136/bmjopen-2023-083646.


Efficacy of eHealth interventions to reduce depression symptoms in individuals with obesity: a systematic review of randomized controlled trials.

Kocol D, Bauerle A, Schadendorf T, Geiger S, Krakowczyk J, Skoda E Front Psychiatry. 2024; 15:1296433.

PMID: 38516265 PMC: 10954845. DOI: 10.3389/fpsyt.2024.1296433.


Use of new technologies for the promotion of physical activity in patients with mental illness: A systematic review.

Guerrero-Jimenez M, Ruiz M, Gutierrez-Rojas L, Jimenez-Munoz L, Baca-Garcia E, Porras-Segovia A World J Psychiatry. 2023; 13(4):182-190.

PMID: 37123096 PMC: 10130960. DOI: 10.5498/wjp.v13.i4.182.


An Evaluation of 5-Year Web Analytics for HeadsUpGuys: A Men's Depression E-Mental Health Resource.

Ogrodniczuk J, Beharry J, Oliffe J Am J Mens Health. 2021; 15(6):15579883211063322.

PMID: 34861812 PMC: 8646842. DOI: 10.1177/15579883211063322.


References
1.
Luppino F, de Wit L, Bouvy P, Stijnen T, Cuijpers P, Penninx B . Overweight, obesity, and depression: a systematic review and meta-analysis of longitudinal studies. Arch Gen Psychiatry. 2010; 67(3):220-9. DOI: 10.1001/archgenpsychiatry.2010.2. View

2.
Pagoto S, Schneider K, Oleski J, Luciani J, Bodenlos J, Whited M . Male inclusion in randomized controlled trials of lifestyle weight loss interventions. Obesity (Silver Spring). 2011; 20(6):1234-9. DOI: 10.1038/oby.2011.140. View

3.
Young M, Morgan P, Plotnikoff R, Callister R, Collins C . Effectiveness of male-only weight loss and weight loss maintenance interventions: a systematic review with meta-analysis. Obes Rev. 2012; 13(5):393-408. DOI: 10.1111/j.1467-789X.2011.00967.x. View

4.
Franz M, VanWormer J, Crain A, Boucher J, Histon T, Caplan W . Weight-loss outcomes: a systematic review and meta-analysis of weight-loss clinical trials with a minimum 1-year follow-up. J Am Diet Assoc. 2007; 107(10):1755-67. DOI: 10.1016/j.jada.2007.07.017. View

5.
Carey M, Small H, Yoong S, Boyes A, Bisquera A, Sanson-Fisher R . Prevalence of comorbid depression and obesity in general practice: a cross-sectional survey. Br J Gen Pract. 2014; 64(620):e122-7. PMC: 3933857. DOI: 10.3399/bjgp14X677482. View