Physical Activity Impacts of an Activity-Friendly Community: A Natural Experiment Study Protocol.
Physical Activity Impacts of an Activity-Friendly Community: A Natural Experiment Study Protocol.
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DOI：
10.3389/fpubh.2022.929331
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发表时间：
2022
影响因子：
5.2
通讯作者：
Lee, Chanam
中科院分区：
文献类型：
--
作者：
Zhu, Xuemei;Ory, Marcia G.;Xu, Minjie;Towne, Samuel D., Jr.;Lu, Zhipeng;Hammond, Tracy;Sang, Huiyan;Lightfoot, J. Timothy;McKyer, E. Lisako J.;Lee, Hanwool;Sherman, Ledric D.;Lee, Chanam
关键词：
来自多个部门的利益攸关方日益意识到，迫切需要确定促进健康生活方式行为的可持续干预措施。众所周知，活动友好型社区（AFCs）提供了在整个生命过程中参与身体活动（PA）的机会，这是健康生活和健康老龄化的关键。我们的目的是描述为一个研究项目制定的研究方案，该项目研究：(a)个体从非AFC转移到AFC后，PA总水平和时空格局的短期和长期变化；(b)哪些建筑和自然环境因素直接或间接地（例如，通过影响与PA相关的社会心理因素）导致了由这种移动引起的PA变化。本方案是一项纵向的病例比较研究，利用美国德克萨斯州奥斯汀市独特的自然实验机会。案例参与者是那些从非AFC转变为AFC的成年人。匹配的比较参与者是来自相似的非afcs的居民，他们在研究期间没有移动。招聘场所包括当地企业、社会和印刷媒体、社区活动和个人推荐。客观测量的中度至剧烈PA和相关的时空格局是我们感兴趣的关键结果。利用客观（如GIS、GPS、Tanita量表）和主观测量（如调查、旅行日记）相结合的方法，捕获了独立（如物理环境）、混杂（如人口因素）和中介变量（如心理社会因素）。统计分析将采用多种方法进行，包括差中差模型、重复测量线性混合模型、分层标记时空泊松点模式分析和分层线性混合模型。自然实验研究有助于调查健康和地点之间的因果关系。然而，与参与者招募、广泛和扩展的数据收集活动以及不可预测的干预计划相关的多重挑战阻碍了许多研究人员在社区人群中实施此类研究。这项详细的研究方案将为未来的研究提供信息，以探索AFCs如何影响整个生命过程中的人口健康。
Stakeholders from multiple sectors are increasingly aware of the critical need for identifying sustainable interventions that promote healthy lifestyle behaviors. Activity-friendly communities (AFCs) have been known to provide opportunities for engaging in physical activity (PA) across the life course, which is a key to healthy living and healthy aging. Our purpose is to describe the study protocol developed for a research project that examines: (a) the short- and long-term changes in total levels and spatial and temporal patterns of PA after individuals move from non-AFCs to an AFC; and (b) what built and natural environmental factors lead to changes in PA resulting from such a move, either directly or indirectly (e.g., by affecting psychosocial factors related to PA). This protocol is for a longitudinal, case-comparison study utilizing a unique natural experiment opportunity in Austin, Texas, USA. Case participants were those adults who moved from non-AFCs to an AFC. Matching comparison participants were residents from similar non-AFCs who did not move during the study period. Recruitment venues included local businesses, social and print media, community events, and individual referrals. Objectively measured moderate-to-vigorous PA and associated spatial and temporal patterns served as the key outcomes of interest. Independent (e.g., physical environments), confounding (e.g., demographic factors), and mediating variables (e.g., psychosocial factors) were captured using a combination of objective (e.g., GIS, GPS, Tanita scale) and subjective measures (e.g., survey, travel diary). Statistical analyses will be conducted using multiple methods, including difference-in-differences models, repeated-measures linear mixed models, hierarchical marked space-time Poisson point pattern analysis, and hierarchical linear mixed models. Natural experiment studies help investigate causal relationships between health and place. However, multiple challenges associated with participant recruitment, extensive and extended data collection activities, and unpredictable intervention schedules have discouraged many researchers from implementing such studies in community-based populations. This detailed study protocol will inform the execution of future studies to explore how AFCs impact population health across the life course.
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影响因子：
120.7
作者：
Andersen, RE;Wadden, TA;Franckowiak, SC
通讯作者：
Franckowiak, SC
影响因子：
4.2
作者：
Anderson, Eileen S.;Wojcik, Janet R.;Williams, David M.
通讯作者：
Williams, David M.
影响因子：
3.1
作者：
Adams, Marc A.;Ryan, Sherry;Norman, Gregory J.
通讯作者：
Norman, Gregory J.
DOI：
10.1111/1467-9868.00315
发表时间：
2001-01-01
影响因子：
5.8
作者：
Brix, A;Diggle, PJ
通讯作者：
Diggle, PJ
影响因子：
4.3
作者：
Cao, XY;Handy, SL;Mokhtarian, PL
通讯作者：
Mokhtarian, PL