Environment and Physical Activity Dynamics: The Role of Residential Self-selection.
Environment and Physical Activity Dynamics: The Role of Residential Self-selection.
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DOI：
10.1016/j.psychsport.2009.09.003
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发表时间：
2011-01-01
影响因子：
3.4
通讯作者：
Popkin, Barry M.
中科院分区：
文献类型：
--
作者：
Boone-Heinonen, Janne;Gordon-Larsen, Penny;Guilkey, David K.;Jacobs, David R., Jr.;Popkin, Barry M.
关键词：
在社会生态框架内，饮食和身体活动受到个人、人际、组织、社区和公共政策因素的影响。该框架的基本原则是环境可以影响个人的行为。然而，在绝大多数关于这种关系的横断面甚至少数纵向研究中，个体是否根据与身体活动相关的便利设施来选择居住区域的问题被忽视了。在本文中，我们解决了一个关键的方法论问题：居住位置的自我选择，通常不被考虑在内，并且可能会严重影响对环境因素与身体活动行为之间关系的研究。我们定义并讨论了邻里对健康和健康行为影响的研究中的住宅自我选择问题，回顾了文献中用于控制住宅自我选择的方法，并提出了解决这一潜在重要偏差来源的策略。现有的研究已经建立了我们对住宅自我选择偏差的理解，但仍然存在重要差距。我们的策略使用与同期环境措施相关的纵向队列研究的数据来创建多方程模型系统，以同时估计居住选择、环境对身体活动的影响以及下游健康结果（例如肥胖和临床心血管疾病危险因素措施）。
Within the socio-ecologic framework, diet and physical activity are influenced by individual, interpersonal, organizational, community, and public policy factors. A basic principle underlying this framework is that environments can influence an individual’s behavior. However, in the vast majority of cross-sectional and even the few longitudinal studies of this relationship, the question of whether individuals select their area of residence based on physical activity-related amenities is ignored. In this paper, we address a critical methodological issue: self-selection of residential location, which is generally not accounted for, and can significantly compromise research on the relationship between environmental factors and physical activity behaviors. We define and discuss the problem of residential self-selection in the study of neighborhood influences on health and health behavior, review methods used to control for residential self-selection in the literature, and present our strategy for addressing this potentially important source of bias. Existing research has built our understanding of residential self-selection bias, but important gaps remain. Our strategy uses data from a longitudinal cohort study linked to contemporaneous environmental measures to create a multi-equation model system to simultaneously estimate residential choice, environmental influences on physical activity, and downstream health outcomes such as obesity and clinical cardiovascular disease risk factor measures.
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影响因子：
5.6
作者：
Handy, S;Cao, XY;Mokhtarian, PL
通讯作者：
Mokhtarian, PL
DOI：
10.1038/oby.2002.23
发表时间：
2002-03-01
期刊：
OBESITY RESEARCH
影响因子：
--
作者：
Gordon-Larsen, P;Adair, LS;Popkin, BM
通讯作者：
Popkin, BM
影响因子：
8
作者：
Gordon-Larsen, P;Nelson, MC;Popkin, BM
通讯作者：
Popkin, BM
影响因子：
1.7
作者：
Bagley, MN;Mokhtarian, PL
通讯作者：
Mokhtarian, PL
影响因子：
3.7
作者：
BOUND, J;JAEGER, DA;BAKER, RM
通讯作者：
BAKER, RM