Perceived environment and physical activity: a meta-analysis of selected environmental characteristics.
Perceived environment and physical activity: a meta-analysis of selected environmental characteristics.
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DOI：
10.1186/1479-5868-2-11
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发表时间：
2005-09-05
期刊：
影响因子：
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通讯作者：
Mummery WK
中科院分区：
文献类型：
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作者：
Duncan MJ;Spence JC;Mummery WK
对研究体育活动（PA）的环境相关性的文献进行了几篇叙述性综述。迄今为止，这些综述还无法对观察到的关联提供明确的总结。本研究利用元分析技术来计算所选环境特征与PA之间的关联摘要。已发表的研究报告是从电子数据库和个人档案中确定的。研究是为了确定最常被研究的环境结构。纳入的研究（N = 16）使用逻辑回归检查了至少一个确定的构式，并确定了感知环境构式与PA之间的关联。使用基于一般方差的固定效应模型分别分析粗or和调整or的数据。使用粗OR的环境特征与PA之间没有显著的关联。使用调整后的OR值，感知到PA设施（OR 1.20, 95% 1.06-1.34）、人行道（OR 1.23, 95% 1.13-1.32）、商店和服务（OR 1.30, 95% 1.14-1.46）和感知到交通不是问题（OR 1.22, 95% 1.08-1.37）的存在与活动呈正相关。由显著关联引起的PA方差从4%（繁忙的交通不是问题）到7%（商店和服务的存在）不等。meta分析的结果支持感知环境特征与理解人口PA的相关性。这些结果应该鼓励使用综合生态模型，其中包括基本人口信息以外的变量。
Several narrative reviews have been conducted on the literature examining environmental correlates of physical activity (PA). To date these reviews have been unable to provide definitive summaries of observed associations. This study utilizes meta-analytical techniques to calculate summaries of associations between selected environmental characteristics and PA. Published studies were identified from electronic databases and searches of personal files. Studies were examined to determine the environmental constructs most frequently studied. Included studies (N = 16) examined at least one identified construct and determined associations between perceived environmental constructs and PA using logistic regression. Data were analyzed separately for crude and adjusted ORs using general-variance based fixed effect models. No significant associations emerged between environmental characteristics and PA using crude OR. The perceived presence of PA facilities (OR 1.20, 95% 1.06–1.34), sidewalks (OR 1.23, 95% 1.13–1.32), shops and services (OR 1.30, 95% 1.14–1.46) and perceiving traffic not to be a problem (OR 1.22, 95% 1.08–1.37) were positively associated with activity using adjusted ORs. Variance in PA accounted for by significant associations ranged from 4% (heavy traffic not a problem) to 7% (presence of shops and services). Results of the meta-analysis support the relevance of perceived environmental characteristics for understanding population PA. These results should encourage the use of comprehensive ecological models that incorporate variables beyond basic demographic information.