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

机译:通过不要改变太多的电子计划促进男人的健康

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摘要

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.
机译:男性的电子健康促销计划可以提供最终用户匿名和自主,为支持积极的健康行为的变化提供途径。目前研究的双重目的是使用基准群组作为参考组:(1)描述电子健康计划的男性使用水平之间的关联不会改变大量(DCM),最新和预期的健康行为发生变化(2)报告对人口变量对DCM用户与其最近和预期健康行为变化之间的关联的调节效果的探索性分析。基于自我报告,DCM用户分为有限(n = 613,34.7%),低(n = 826,46.8%),高(n = 327,18.5%)暴露组。与基准队列相比,DCM高曝光受访者对于九个最近行为的八个发生的次数显着提高,最大的效果尺寸为“努力稍微坐下来坐下来”(赔率比[或] 2.996, 95%CI [2.347,3.826])。与基准队列相比,DCM高曝光组中的八个有八个九个预期健康行为的变化显着增加了赔率,“减少应力水平”(或3.428,95%CI [2.643,4.447]),具有最大的效果大小。近期(F(12,2850)= 29.32; p = .001; r2 = .086)和预期健康行为的总数(f(12,2850)= 34.59; p = .001; r2 = 0.100)在调整人口统计的同时在高曝光受访者中观察到。年龄较小,正在雇用,家庭收入<120,000美元,对DCM用户的预期行为变化的数量增强了主持人效应。

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