Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Promoting Men’s Health With the “Don’t Change Much” e-Program

Bibliographic Data

ID21748811
AuthorsJohn L Oliffe (0000-0001-9029-4003, University of British Columbia, corresponding author), Nick Black (0000-0003-4771-3481, Intensions Consulting, Vancouver, BC, Canada), Jeffrey Yiu (0000-0002-1134-762X, Intensions Consulting, Vancouver, BC, Canada), Ryan Flannigan (0000-0001-6964-7521, University of British Columbia), Wayne Hartrick (Canadian Men’s Health Foundation, Vancouver, BC, Canada), S Larry Goldenberg (0000-0002-0572-4206, University of British Columbia)
Year2021
Volume15
Issue2
Pages15579883211001189-15579883211001189
Publication date2021-03-01
Open AccessYes
TypeARTICLE
VenueAmerican Journal of Men s Health (JOURNAL)
Journal identifiersISSN: 1557-9883 • E-ISSN: 1557-9891
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/15579883211001189
PMID33745369
OpenAlexW3138481747
LanguageEN
References cited24

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; R 2 = .086) and intended health behavior changes ( F(12, 2850) = 34.59; p = .001; R 2 = 0.100) were observed among high exposure respondents while adjusting for demographics. Younger age, being employed, and household income

Sociology · Gender Roles and Identity Studies · Medicine · Obesity, Physical Activity, Diet · Psychology · Gerontology

  • How Big is a Big Odds Ratio? Interpreting the Magnitudes of Odds Ratios in Epidemiological Studies

    Henian Chen, Patricia Cohen et al.•Communications in Statistics -…•2010

  • The Chi-square test of independence

    Open Access•Mary L McHugh•Biochemia Medica•2013

  • Young men's health promotion and new information communication technologies

    Open Access•M Robinson, Steve Robertson•Health Promotion International•2010

  • Living with a concealable stigmatized identity

    Diane M Quinn, Stephenie R Chaudoir•Journal of Personality and Social…•2009

Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae