Promoting Men's Health With the "Don't Change Much" e-Program
- PMID: 33745369
- PMCID: PMC7983442
- DOI: 10.1177/15579883211001189
Promoting Men's Health With the "Don't Change Much" e-Program
Abstract
Men's e-health promotion programs can offer end-user anonymity and autonomy that provide avenues for supporting positive health behavior change. The twofold purpose of the current study was to use a benchmark cohort as a reference group to: (1) describe associations between men's usage levels of the e-health program Don't Change Much (DCM) and their recent and intended health behavior changes, and (2) report an exploratory analysis of the moderating effects of demographic variables on the associations between DCM users and their recent and intended health behavior changes. Based on self-report, DCM users were classified into limited (n = 613, 34.7%), low (n = 826, 46.8%), and high (n = 327, 18.5%) exposure groups. Compared with the benchmark cohort, DCM high-exposure respondents had significantly increased odds for eight of the nine recent behavior changes, with the largest effect size observed for "Made an effort to sit less and walk more" (odds ratio [OR] 2.996, 95% CI [2.347, 3.826]). Eight of the nine intended health behavior changes in the DCM high-exposure group had significantly increased odds compared to the benchmark cohort, with "Reduce stress level" (OR 3.428, 95% CI [2.643, 4.447]) having the largest effect size. Significantly greater total numbers of recent (F(12, 2850) = 29.32; p = .001; R2 = .086) and intended health behavior changes (F(12, 2850) = 34.59; p = .001; R2 = 0.100) were observed among high exposure respondents while adjusting for demographics. Younger age, being employed, and household income <$120,000 had an enhancing moderator effect on DCM users' number of intended behavior changes.
Keywords: Men’s health behaviors; health behavior change; men’s e-health; men’s health promotion.
Conflict of interest statement
Similar articles
-
Mapping Canadian Men's Recent and Intended Health Behavior Changes Through the Don't Change Much Electronic Health Program.J Med Internet Res. 2020 May 15;22(5):e16174. doi: 10.2196/16174. J Med Internet Res. 2020. PMID: 32412423 Free PMC article.
-
One small step for man, one giant leap for men's health: a meta-analysis of behaviour change interventions to increase men's physical activity.Br J Sports Med. 2020 Oct;54(20):1208-1216. doi: 10.1136/bjsports-2019-100912. Epub 2020 Feb 5. Br J Sports Med. 2020. PMID: 32024644
-
Men's Physical Activity and Sleep Following a Workplace Health Intervention: Findings from the POWERPLAY STEP Up challenge.Am J Mens Health. 2021 Jan-Feb;15(1):1557988320988472. doi: 10.1177/1557988320988472. Am J Mens Health. 2021. PMID: 33622063 Free PMC article.
-
Peer Positive Social Control and Men's Health-Promoting Behaviors.Am J Mens Health. 2017 Sep;11(5):1569-1579. doi: 10.1177/1557988317711605. Epub 2017 Jul 2. Am J Mens Health. 2017. PMID: 28670962 Free PMC article.
-
Public health strategies to address Asian men's health needs.Asia Pac J Public Health. 2012 Jul;24(4):543-55. doi: 10.1177/1010539512452756. Epub 2012 Jul 18. Asia Pac J Public Health. 2012. PMID: 22815311 Review.
References
-
- Calvo F., Carbonell X., Johnsen S. (2019). Information and communication technologies, e-Health and homelessness: A bibliometric review. Cogent Psychology, 6(1), 1631583. 10.1080/23311908.2019.1631583 - DOI
-
- Chen H., Cohen P., Chen S. (2010). How big is a big odds ratio? Interpreting the magnitudes of odds ratios in epidemiological studies. Communications in Statistics - Simulation and Computation, 39(4), 860–864. 10.1080/03610911003650383 - DOI
-
- Cohen J. (1988). Statistical power analysis for the behavioral sciences. Academic Press.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
Miscellaneous