| 段银娟,杨淞淳,韩雨廷,樊俊宁,汪韶洁,吴先萍,俞敏,周金意,田小草,胥馨尹,梁明斌,华钰洁,陈璐,余灿清,高文静,曹卫华,吕筠,李立明.四城市成年人主观感知建成环境与休闲性体力活动的相关性研究[J].中华流行病学杂志,2020,41(8):1280-1285 |
| 四城市成年人主观感知建成环境与休闲性体力活动的相关性研究 |
| Association between perceived built environment attributes and adults' leisure-time physical activity in four cities of China |
| 收稿日期:2020-02-27 出版日期:2020-08-25 |
| DOI：10.3760/cma.j.cn112338-20200227-00203 |
| 中文关键词: 休闲性体力活动 成年人 主观感知 建成环境 |
| 英文关键词: Leisure-time physical activity Adults Subjective perception Built environment |
| 基金项目:公益性行业科研专项（201502006，201002007）；国家自然科学基金（81072373） |
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| 中文摘要: |
| 目的 探讨4城市社区成年居民主观感知的建成环境与休闲性体力活动之间的相关性。方法 2017年6月至2018年7月采用多阶段整群随机抽样方法抽取杭州、苏州、成都和青岛市25～64岁成年人，使用社区环境步行适宜性量表简版和国际体力活动问卷长版评估建成环境和休闲性体力活动水平，采用广义线性混合模型分析主观感知的建成环境与休闲性体力活动的相关性。结果 共纳入有效样本3 789份。调整可能的混杂因素后，公共服务可及性（OR=1.34，95% CI：1.02～1.75）和美观度（OR=1.37，95% CI：1.09～1.73）与居民自报过去一周有休闲性体力活动的可能性呈正相关；类似地，居民进行休闲性步行的可能性与这2个维度也呈正相关。街道连通性与居民休闲性步行水平呈正相关［exp（β）=1.09，95% CI：1.00～1.19］；居住密度［exp（β）=1.000 4，95% CI：1.000 0～1.000 8］越高、体力活动场所可及性［exp（β）=1.09，95% CI：1.00～1.19］越好，美观度［exp（β）=1.11，95% CI：1.00～1.22］越好，居民休闲性体力活动水平越高，达标的可能性也越高。结论 改善社区某些建成环境维度，有望增加居民进行休闲性体力活动的可能性及相应的水平。 |
| 英文摘要: |
| Objective To explore the associations between perceived built environment attributes and adults' leisure-time physical activity in four cities of China. Methods Multistage cluster random sampling method was used to select adults aged 25 to 64 in Hangzhou, Suzhou, Chengdu, and Qingdao. Data were collected from June 2017 to July 2018. The perception of the urban built environment was assessed by the neighborhood environment walkability scale-abbreviated (NEWS-A), and the physical activity was assessed by the International Physical Activity Questionnaire. Generalized linear mixed models were used to explore the relationship between the perceived built environment and leisure-time physical activities. Results A total of 3 789 participants were included in the analysis. After adjusting for potential confounders, better access to public services (OR=1.34, 95%CI:1.02-1.75) and higher aesthetic quality (OR=1.37, 95%CI:1.09-1.73) were positively associated with the possibility of engaging in leisure-time physical activity in the past week. Similarly, these two attributes were positively associated with leisure-time walking. Higher scores on the perception of street connectivity were positively associated with leisure-time walking[exp(β)=1.09, 95%CI:1.00-1.19]. Higher residential density[exp(β)=1.000 4, 95%CI:1.000 0-1.000 8], better access to physical activity destinations[exp(β)=1.09, 95%CI:1.00-1.19], and better aesthetics[exp(β)=1.11, 95%CI:1.00-1.22] were associated with higher leisure-time physical activity. Similarly, these three attributes were positively associated with the possibility of meeting the WHO recommendations. Conclusion Changing some urban built environment attributes may increase leisure-time physical activity. |
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