How socio-economic status contributes to participation in leisure-time physical activity
How socio-economic status contributes to participation in leisure-time physical activity
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DOI：
10.1016/j.socscimed.2008.02.012
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发表时间：
2008-06-01
影响因子：
5.4
通讯作者：
Leslie, Eva
中科院分区：
文献类型：
--
作者：
Cerin, Ester;Leslie, Eva
这项横断面研究的目的是确定个人、社会和环境因素（中介因素）对不同社会经济群体休闲时间身体活动的个人和地区水平差异的影响。采用两阶段分层抽样设计招募居住在澳大利亚阿德莱德 154 个人口普查采集区的 20-65 岁成年人（N = 2194）（总体响应率：12%）。参与者完成了两次相隔六个月的调查（第二次调查的回复率：83%）。使用有关教育程度、家庭收入和家庭规模的自我报告措施来评估个人层面的社会经济地位（SES）。使用每个选定人口普查区的家庭收入中位数和家庭规模的人口普查数据来评估地区层面的社会经济地位。 Bootstrap 广义线性模型用于检验 SES、潜在中介因素和休闲时间体力活动之间的关联。系数乘积检验用于估计中介效应。所有 SES 测量均与 SES 活动关系的潜在个人和社会中介独立相关。个人和地区水平的收入也与感知的邻里属性相关。体育活动的自我效能和社会支持几乎解释了不同教育程度群体体育活动的所有差异。步行和进入公共开放空间的物理障碍在一定程度上解释了不同收入群体休闲步行的差异。然而，自我效能和社会支持是观察到的个人和地区收入与身体活动之间关系的关键中介因素。这项研究表明，为了增加弱势群体的体育活动参与度，需要针对与活动相关的态度和技能以及社会和物质环境采取全面、多层次的干预措施。 (C) 2008 Elsevier Ltd。保留所有权利。
The aim of this cross-sectional study was to identify individual, social, and environmental contributors (mediators) to individual- and area-level differences in leisure-time physical activity across socio-economic groups. A two-stage stratified sampling design was used to recruit 20-65 year old adults (N = 2194) living in 154 census collection districts of Adelaide, Australia (overall response rate: 12%). Participants completed two surveys six months apart (response rate on the second survey: 83%). Individual-level socio-economic status (SES) was assessed using self-report measures on educational attainment, household income, and household size. Area-level SES was assessed using census data on median household income and household size for each selected census district. Bootstrap generalized linear models were used to examine associations between SES, potential mediators, and leisure-time physical activity. The product-of-coefficient test was used to estimate mediating effects. All SES measures were independently associated with potential individual and social mediators of the SES-activity relationships. Individual- and area-level income was also associated with perceived neighborhood attributes. Self-efficacy and social support for physical activity explained virtually all of the differences in physical activity across educational attainment groups. Physical barriers to walking and access to public open space contributed in part to the explanation of differences in recreational walking across income groups. Yet, self-efficacy and social support were the key mediators of the observed relationships between individual- and area-level income and physical activity. This study suggests that in order to increase physical activity participation in the more disadvantaged segments of the population, comprehensive, multilevel interventions targeting activity-related attitudes and skills as well as social and physical environments are needed. (C) 2008 Elsevier Ltd. All fights reserved.