Faculty of Health, University of Technology Sydney, Sydney, New South Wales, Australia
Sedentary Living Lab, Faculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, Alberta, Canada.
Br J Sports Med. 2020 Oct;54(20):1208-1216. doi: 10.1136/bjsports-2019-100912. Epub 2020 Feb 5.
To determine the effects of behaviour change interventions on men's physical activity (postintervention), sustained change in physical activity behaviour (≥12 months postintervention) and to identify variations in effects due to potential moderating variables (eg, theoretical underpinning, gender-tailored, contact frequency).
Systematic review with meta-analysis. Pooled effect size (Cohen's ) was calculated assuming a random-effects model. Homogeneity and subsequent exploratory moderator analyses were assessed using Q, T and I.
Medline, EMBASE, CINAHL, SportDiscus and Web of Science to April 2019.
Randomised control trials of behaviour change interventions in men (≥18 years) where physical activity was an outcome and data were from men-only studies or disaggregated by sex.
Twenty-six articles described 24 eligible studies. The overall mean intervention effect on men's physical activity was 0.35 (SE=0.05; 95% CI 0.26 to 0.45; p<0.001). This effect size is consistent with an increase of approximately 97 min of total physical activity per week or 980 steps per day. Intervention moderators associated with greater increases in physical activity included objective physical activity outcome measures, a gender-tailored design, use of a theoretical framework, shorter length programmes (≤12 weeks), using four or more types of behaviour change techniques and frequent contact with participants (≥1 contact per week). 12 studies included additional follow-up assessments (≥12 months postintervention) and the overall mean effect was 0.32 (SE=0.09; 95% CI 0.15 to 0.48; p<0.001) for that sustained increase in physical activity.
Behaviour change interventions targeting men's physical activity can be effective. Moderator analyses are preliminary and suggest research directions.
确定行为改变干预措施对男性身体活动（干预后）、身体活动行为持续改变（干预后≥12 个月）的影响，并确定潜在调节变量（如理论基础、性别针对性、接触频率）变化的影响。
系统评价和荟萃分析。假设采用随机效应模型，计算合并效应大小（Cohen's ）。使用 Q、T 和 I 评估同质性和随后的探索性调节分析。
截至 2019 年 4 月，使用 Medline、EMBASE、CINAHL、SportDiscus 和 Web of Science 进行检索。
仅男性（≥18 岁）的行为改变干预随机对照试验，身体活动是结果，且数据来自仅男性研究或按性别分类。
26 篇文章描述了 24 项符合条件的研究。男性身体活动的总体平均干预效果为 0.35（SE=0.05；95%CI 0.26 至 0.45；p<0.001）。这一效果大小相当于每周增加约 97 分钟的总身体活动或每天增加 980 步。与身体活动增加相关的干预调节因素包括客观的身体活动结果测量、性别针对性设计、使用理论框架、较短的方案长度（≤12 周）、使用四种或更多种行为改变技术以及与参与者频繁接触（每周≥1 次）。12 项研究包括额外的随访评估（干预后≥12 个月），该持续增加身体活动的总体平均效果为 0.32（SE=0.09；95%CI 0.15 至 0.48；p<0.001）。
针对男性身体活动的行为改变干预措施可能有效。调节分析初步显示了研究方向。
