Patterns of neighborhood environment attributes related to physical activity across 11 countries: a latent class analysis.
Patterns of neighborhood environment attributes related to physical activity across 11 countries: a latent class analysis.
复制标题
邻里环境的模式与11个国家 /地区的体育活动有关：潜在类别分析。
DOI：
10.1186/1479-5868-10-34
复制
发表时间：
2013-03-14
期刊：
影响因子：
--
通讯作者：
Bauman A
中科院分区：
文献类型：
--
作者：
Adams MA;Ding D;Sallis JF;Bowles HR;Ainsworth BE;Bergman P;Bull FC;Carr H;Craig CL;De Bourdeaudhuij I;Gomez LF;Hagströmer M;Klasson-Heggebø L;Inoue S;Lefevre J;Macfarlane DJ;Matsudo S;Matsudo V;McLean G;Murase N;Sjöström M;Tomten H;Volbekiene V;Bauman A
体育活动（PA）的邻里环境研究主要集中在单一国家。国际流行率研究（IPS）提供了一个难得的机会，检查各国的邻里特征。这项分析的目的是：1）检测国际邻里类型的基础上，参与者的反应模式的环境调查和2）估计邻里环境模式和PA之间的关联。对合并的IPS成人进行潜在类别分析（LCA）（N= 11，541）年龄18 - 64岁平均年龄37.5 ±12.8岁; 55.6%为女性），来自比利时、巴西、加拿大、哥伦比亚、香港、日本、立陶宛、新西兰、挪威、瑞典、这个子集使用了身体活动邻里环境调查（PANES），该调查简要评估了参与者住所步行10-15分钟内的7个属性，包括住宅密度，商店/服务的访问，娱乐设施、公共交通设施、人行道和自行车道的存在以及人身安全。LCA从参与者对PANES项目的反应模式中得出有意义的亚组，并将参与者分配到邻居类型。经过验证的简短国际体力活动问卷（IPAQ）测量了满足150分钟/周PA指南的可能性。为了验证派生类，使用加权广义线性回归模型对通过步行或总PA满足指南的邻域类型进行回归，并针对性别、年龄和国家进行调整。一个5亚组的解决方案适合数据集，是可解释的。社区类型被标记为“整体活动支持（52%的样本）”，“高步行和不安全，娱乐设施很少（16%）”，“安全，积极的交通设施（12%）”，“交通和商店密集，设施很少（15%）”，和“安全，但活动不支持（5%）”。国家代表性因类型而异（例如，美国代表“安全，但活动不支持”）。与安全但活动不支持者相比，两种类型显示出更大的符合PA步行结局指南的几率（高步行和不安全，娱乐设施少，OR= 2.26（95% CI 1.18-4.31）;总体活动支持，OR= 1.90（95% CI 1.13-3.21））。总PA也有显著但较小的比值比。有意义的邻里模式概括了各国，并解释了PA的实际差异。这些观察结果支持世卫组织/联合国的建议，有针对性地改善PA的邻里环境的功能的方案和政策。
Neighborhood environment studies of physical activity (PA) have been mainly single-country focused. The International Prevalence Study (IPS) presented a rare opportunity to examine neighborhood features across countries. The purpose of this analysis was to: 1) detect international neighborhood typologies based on participants’ response patterns to an environment survey and 2) to estimate associations between neighborhood environment patterns and PA. A Latent Class Analysis (LCA) was conducted on pooled IPS adults (N=11,541) aged 18 to 64 years old (mean=37.5 ±12.8 yrs; 55.6% women) from 11 countries including Belgium, Brazil, Canada, Colombia, Hong Kong, Japan, Lithuania, New Zealand, Norway, Sweden, and the U.S. This subset used the Physical Activity Neighborhood Environment Survey (PANES) that briefly assessed 7 attributes within 10–15 minutes walk of participants’ residences, including residential density, access to shops/services, recreational facilities, public transit facilities, presence of sidewalks and bike paths, and personal safety. LCA derived meaningful subgroups from participants’ response patterns to PANES items, and participants were assigned to neighborhood types. The validated short-form International Physical Activity Questionnaire (IPAQ) measured likelihood of meeting the 150 minutes/week PA guideline. To validate derived classes, meeting the guideline either by walking or total PA was regressed on neighborhood types using a weighted generalized linear regression model, adjusting for gender, age and country. A 5-subgroup solution fitted the dataset and was interpretable. Neighborhood types were labeled, “Overall Activity Supportive (52% of sample)”, “High Walkable and Unsafe with Few Recreation Facilities (16%)”, “Safe with Active Transport Facilities (12%)”, “Transit and Shops Dense with Few Amenities (15%)”, and “Safe but Activity Unsupportive (5%)”. Country representation differed by type (e.g., U.S. disproportionally represented “Safe but Activity Unsupportive”). Compared to the Safe but Activity Unsupportive, two types showed greater odds of meeting PA guideline for walking outcome (High Walkable and Unsafe with Few Recreation Facilities, OR= 2.26 (95% CI 1.18-4.31); Overall Activity Supportive, OR= 1.90 (95% CI 1.13-3.21). Significant but smaller odds ratios were also found for total PA. Meaningful neighborhood patterns generalized across countries and explained practical differences in PA. These observational results support WHO/UN recommendations for programs and policies targeted to improve features of the neighborhood environment for PA.
登录
查看更多内容
影响因子：
5.1
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.
通讯作者：
Cain, Kelli L.
DOI：
10.1249/01.mss.0000227639.83607.4d
发表时间：
2006-09-01
期刊：
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE
影响因子：
--
作者：
Cerin, Ester;Saelens, Brian E.;Frank, Lawrence D.
通讯作者：
Frank, Lawrence D.
影响因子：
3
作者：
AKAIKE, H
通讯作者：
AKAIKE, H
影响因子：
2.3
作者：
Adams MA;Sallis JF;Conway TL;Frank LD;Saelens BE;Kerr J;Cain KL;King AC
通讯作者：
King AC
影响因子：
5.5
作者：
Besser, LM;Dannenberg, AL
通讯作者：
Dannenberg, AL