Environmental correlates of physical activity in multiple sclerosis: A cross-sectional study
Environmental correlates of physical activity in multiple sclerosis: A cross-sectional study
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DOI：
10.1186/1479-5868-4-49
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发表时间：
2007-10-08
影响因子：
8.7
通讯作者：
McAuley, Edward
中科院分区：
文献类型：
--
作者：
Doerksen, Shawna E.;Motl, Robert W.;McAuley, Edward
背景：多发性硬化（MS）是一种慢性神经系统疾病，与缺乏体力活动有关。了解与体力活动相关的因素对于为这一人群制定有效的体力活动促进计划非常重要。因此，我们进行了一项横断面研究，研究了建筑环境特征与MS成人自我报告和客观测量的体力活动行为之间的关联。MS参与者（n = 196）被发送了一份问卷包，其中包括自我-报告措施的建成环境和身体活动和计步器在邮件中，并指示完成问卷调查和穿着七天的设备。参与者将填写好的问卷装在一个预先贴好邮票、写好地址的信封里。进行双变量相关分析，以检查环境问卷上的项目与体力活动的两个措施之间的关联。结果：相关分析表明，步行距离内的商店、商店、市场等场所对体力活动的影响最大，而步行距离内的商店、商店、市场等场所对体力活动的影响最大（r = 0.20; rho = 0.18），步行距离内有公交车站（r = 0.20; rho = 0.16）和免费或低成本娱乐设施的可获得性（r = 0.16; rho = 0.15）与计步器有关，但与自我报告的测量身体活动无关。回归分析表明，步行距离内的公交车站的存在独立解释了计步器测量的身体活动的4%的方差。体育活动是一个重要的行为，以促进个人与MS。这项研究表明，建筑环境的方面与这种健康促进行为之间的MS。进一步的研究应集中在纵向关系方面的环境与体力活动，以便提供强有力的背景发展有效的促进计划，为MS的人。
Background: Multiple sclerosis (MS) is a chronic neurological disease that is associated with physical inactivity. Understanding the factors that correlate with physical activity is important for developing effective physical activity promotion programs for this population. Thus, we conducted a cross-sectional study that examined the association between features of the built environment with self-reported and objectively measured physical activity behaviour in adults with MS.Methods: Participants with MS (n = 196) were sent a questionnaire packet that included self-report measures of the built environment and physical activity and a pedometer in the mail and were instructed to complete the questionnaires and wear the device for seven days. Participants returned the completed questionnaires in a pre-stamped, pre-addressed envelope. Bivariate correlation analysis was conducted for examining associations between items on the environmental questionnaire with the two measures of physical activity. Stepwise regression analysis was conducted for determining the independent contributions of the significant environmental correlates for explaining variation in physical activity.Results: Correlational analysis indicated that presence of shops, stores, markets or other places within walking distance (r = .20; rho = .18), presence of a transit stop within walking distance (r = .20; rho = .16), and accessibility of free or low-cost recreation facilities (r = .16; rho = .15) were related to pedometer, but not self-reported, measured physical activity. Regression analysis indicated that the presence of a transit stop within walking distance independently explained 4% of variance in pedometer measured physical activity.Conclusion: Physical activity is an important behaviour to promote among individuals with MS. This study indicated that aspects of the built environment are related to this health promoting behaviour among those with MS. Further research should focus on the longitudinal relationships among aspects of the environment with physical activity so as to provide strong background for developing effective promotion programs for people with MS.