基于社会生态模型的体育活动相关因素荟萃分析

Youngho Kim, Jonghwan Lee, Soojin Kang
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引用次数: 0

摘要

本研究旨在基于社会生态模型(SEM)对韩国现有的关于体育活动及其相关因素的文献进行研究。方法通过RISS、KISS、KCI、DBpia和SEMANTIC SCHOLAR系统检索2011年3月至2012年12月发表的相关文献。共有9项研究符合纳入标准。通过使用混合方法评估工具,所选文章均为高质量。结果结果表明,所有的扫描电镜结构都与身体活动显著相关。其中,自我效能感的相关效应量最高,为0.41(95% CI=0.33~0.49),其次是专业水平为0.26(95% CI=0.23~0.30),运动设施质量为0.25(95% CI=0.19~0.32),运动设施可及性为0.23(95% CI=0.20~0.26),朋友支持为0.21(95% CI=0.15~0.28),家庭支持为0.20(95% CI=0.03~0.38)。结论:本研究首次尝试应用荟萃分析来调查基于扫描电镜的针对韩国人体育活动的现有研究出版物。更重要的是,该研究通过综合韩国将扫描电镜应用于体育活动的研究,提出了循证研究的方向,并为未来建立基于扫描电镜的体育活动促进策略提供了实用数据。
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Correlates of Physical Activity Based on the Social Ecological Model: A Meta-Analysis
OBJECTIVES The current study aimed to examine the existing literature carried out in Korea regarding physical activity and its related factors based on the social ecological model (SEM).METHODS A systematic search of relevant literature published from March 2011 to December 20200 was conducted through RISS, KISS, KCI, DBpia, and SEMANTIC SCHOLAR. A total of 9 studies met the inclusion criteria. The selected articles were all of high quality as assessed using the Mixed Methods Appraisal Tool.RESULTS Results indicated that all SEM constructs were significantly correlated with physical activity. In specific, self-efficacy showed highest correlation effect size with 0.41(95% CI=0.33~0.49), followed by pros with 0.26(95% CI=0.23~0.30), quality of exercise facilities with 0.25(95% CI=0.19~0.32), accessibility of exercise facilities with 0.23(95% CI=0.20~0.26), friend support with 0.21(95% CI=0.15~0.28), and family support with 0.20(95% CI=0.03~0.38).CONCLUSIONS The current study was the first attempt applying a meta-analysis to investigate the existing research publications targeted at Korean physical activity based on the SEM. More importantly, the study suggests the direction of evidence-based research by synthesizing studies that applied the SEM to physical activity conducted in Korea and providing practical data to establish strategies to promote physical activity based on the SEM in the future.
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审稿时长
10 weeks
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