Neighborhood environment profiles related to physical activity and weight status: a latent profile analysis.
Neighborhood environment profiles related to physical activity and weight status: a latent profile analysis.
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DOI：
10.1016/j.ypmed.2011.02.020
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发表时间：
2011-05
影响因子：
5.1
通讯作者：
Cain, Kelli L.
中科院分区：
文献类型：
--
作者：
Adams, Marc A.;Sallis, James F.;Kerr, Jacqueline;Conway, Terry L.;Saelens, Brian E.;Frank, Lawrence D.;Norman, Gregory J.;Cain, Kelli L.
邻里建筑环境 (BE) 包括影响身体活动 (PA) 的共存刺激的组合。处理众多的环境变量和复杂性是一项重大挑战。当前的分析探讨了一系列报告的与成人体力活动相关的 BE 特征是否产生了独特的多变量模式，并测试了成人的 PA 和体重是否因 BE 概况而异。参与者（20-65 岁，48.2% 为女性，26% 为少数族裔）于 2002 年至 2005 年间从华盛顿州西雅图-金县（N= 1,287）和马里兰州巴尔的摩 - 华盛顿特区（N=912）的 32 个社区招募。使用邻里环境步行能力量表中的 11 个环境变量，在每个区域进行了独立的潜在概况分析。使用 ANCOVA 模型，通过邻里概况与 PA（加速度计得出的中等至剧烈分钟数/天、自我报告的交通和休闲步行分钟数/周）和自我报告的 BMI 的关系来检查邻里概况的有效性。西雅图和巴尔的摩地区的社区概况在视觉上相似，表明具有普遍性。高步行休闲密度社区与其他社区类型有显着差异，每天 MVPA 分钟高达 13 分钟，每周步行交通近 60 分钟，每周休闲活动 75 分钟。 BMI 的社区概况也存在显着差异。这些发现可以帮助确定促进身体活动和改善体重状况的环境属性的最佳模式。
Neighborhood built environments (BE) include combinations of co-existing stimuli influencing physical activity (PA). Dealing with numerous environmental variables and complexity presents a significant challenge. The current analysis explored whether a range of reported BE features associated with adults’ physical activity produced distinct multivariate patterns, and tested whether adults’ PA and body mass differed by BE profiles. Participants (20-65 years, 48.2% female, 26% ethnic minority) were recruited between 2002-2005 from 32 neighborhoods from Seattle-King County, WA (N= 1,287) and Baltimore, MD - Washington, DC regions (N=912). Independent Latent Profile Analyses were conducted in each region with 11 environmental variables from the Neighborhood Environment Walkability Scale. Validity of the neighborhood profiles was examined by their relationship to PA (accelerometer-derived moderate-to-vigorous minutes/day, self-reported minutes/week of walking for transportation and leisure) and self-reported BMI using ANCOVA models. Neighborhood profiles for Seattle and Baltimore regions were visually similar, suggesting generalizability. High-walkable recreationally-dense neighborhoods differed significantly from other neighborhood types by as much as 13 MVPA minutes/day, almost 60 minutes/week of walking for transportation, and 75 minutes/week of leisure-time activity. Neighborhood profiles also differed significantly for BMI. These findings could help identify optimal patterns of environmental attributes that facilitate physical activity and improve weight status.
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DOI：
10.1097/00005768-199805000-00021
发表时间：
1998-05-01
期刊：
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE
影响因子：
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作者：
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通讯作者：
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DOI：
10.1249/01.mss.0000227639.83607.4d
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期刊：
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE
影响因子：
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通讯作者：
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DOI：
10.1186/1479-5868-6-32
发表时间：
2009-06-09
影响因子：
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作者：
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通讯作者：
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影响因子：
5.5
作者：
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影响因子：
12.7
作者：
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