A longitudinal and cross-sectional examination of the relationship between reasons for choosing a neighbourhood, physical activity and body mass index.

A longitudinal and cross-sectional examination of the relationship between reasons for choosing a neighbourhood, physical activity and body mass index.
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DOI:
10.1186/1479-5868-7-57
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发表时间:
2010-07-05
期刊:
The international journal of behavioral nutrition and physical activity
影响因子:
--
通讯作者:
Selfridge G
Selfridge G
中科院分区:
其他
文献类型:
--
作者:
Berry TR;Spence JC;Blanchard CM;Cutumisu N;Edwards J;Selfridge G

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本研究的目的是研究体重指数与社区步行能力、社会经济地位(SES)、选择社区的原因、身体活动、水果和蔬菜摄入量以及人口统计学变量之间的关系。进行了两项研究,一项纵向研究,一项横断面研究。参与者包括2002年和2008年提供完整数据的成年人(n = 572)和2008年的同期样本(n = 1164)。数据通过纵向和横断面电话调查收集。利用人口普查数据和地理信息计算社区特征的客观度量(可步行性和社会经济地位)。在纵向研究中,选择步行方便和靠近户外娱乐场所的社区与参与者在研究过程中是否运动相互作用,以预测6年内BMI的变化。年龄、活动状态变化和社区经济地位也是BMI变化的重要预测因素。横断面上,社区经济地位和社区步行便利性选择与BMI显著相关,性别、年龄、活动水平和水果和蔬菜摄入量也显著相关。结果表明,重视选择被认为容易步行的社区是影响体重的重要因素。客观测量邻里社会经济地位和邻里选择变量对BMI的贡献表明,未来的研究将考虑邻里选择在研究建筑环境与体重之间关系中的作用。
The purpose of this study was to examine the relationship between body mass index and neighborhood walkability, socioeconomic status (SES), reasons for choosing neighborhoods, physical activity, fruit and vegetable intake, and demographic variables. Two studies, one longitudinal and one cross-sectional, were conducted. Participants included adults (n = 572) who provided complete data in 2002 and 2008 and a concurrent sample from 2008 (n = 1164). Data were collected with longitudinal and cross-sectional telephone surveys. Objective measures of neighborhood characteristics (walkability and SES) were calculated using census data and geographic information. In the longitudinal study, neighborhood choice for ease of walking and proximity to outdoor recreation interacted with whether participants had moved during the course of study to predict change in BMI over 6 years. Age, change in activity status, and neighborhood SES were also significant predictors of BMI change. Cross-sectionally, neighborhood SES and neighborhood choice for ease of walking were significantly related to BMI as were gender, age, activity level and fruit and vegetable intake. Results demonstrate that placing importance on choosing neighborhoods that are considered to be easily walkable is an important contributor to body weight. Findings that objectively measured neighbourhood SES and neighborhood choice variables contributed to BMI suggest that future research consider the role of neighborhood choice in examining the relationships between the built environment and body weight.
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