Patterns of obesogenic neighborhood features and adolescent weight: a comparison of statistical approaches.
Patterns of obesogenic neighborhood features and adolescent weight: a comparison of statistical approaches.
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DOI：
10.1016/j.amepre.2012.02.009
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发表时间：
2012-05
影响因子：
5.5
通讯作者：
Neumark-Sztainer, Dianne
中科院分区：
文献类型：
--
作者：
Wall, Melanie M.;Larson, Nicole I.;Forsyth, Ann;Van Riper, David C.;Graham, Dan J.;Story, Mary T.;Neumark-Sztainer, Dianne
很少有研究探讨了邻里特征对青少年肥胖风险的潜在影响，研究结果也不一致。识别邻里食物，体育活动，街道/交通和社会经济特征之间的模式，并使用三种统计方法研究其与青少年体重状况的关联。2009-2010年，对来自明尼苏达州明尼阿波利斯/圣保罗20所学校的2,682名青少年（53%为女性，平均年龄=14.5岁）进行了人体测量。邻里环境变量进行了测量，使用地理信息系统数据和调查。性别分层回归将BMI z评分和肥胖与1）单独的邻域变量2）使用因子分析形成的复合物和3）2012年使用空间潜在类分析确定的聚类相关。对不同社区变量的回归发现，公园/娱乐场所比例低和安全感低与男孩和女孩的BMI z评分较高有关。因子分析发现五个因素：远离家庭的食品和娱乐的可达性，社区劣势，绿色空间，零售/交通密度，超市可达性。前两个因素与女孩的BMI z评分相关，但与男孩无关。空间潜在类分析确定了六个集群的积极和消极的环境影响的复杂组合。在男孩中，肥胖率最高的人群（29.8%）包括社会经济、公园/娱乐和安全性低;餐馆和便利店密度高;附近有健身房、超市和许多公交车站。邻里水平的障碍和促进者的体重相关的健康行为的混合导致的困难解开他们与青少年肥胖的关联，然而，统计方法，包括因素和潜在的类分析可能会提供有用的手段来解决这个复杂性。
Few studies have addressed the potential influence of neighborhood characteristics on adolescent obesity risk and findings have been inconsistent. Identify patterns among neighborhood food, physical activity, street/transportation, and socioeconomic characteristics and examine their associations with adolescent weight status using three statistical approaches. Anthropometric measures were taken on 2,682 adolescents (53% female, mean age=14.5) from 20 Minneapolis/St. Paul, Minnesota schools in 2009–2010. Neighborhood environmental variables were measured using Geographic Information Systems data and by survey. Gender-stratified regressions related BMI z-scores and obesity to 1) separate neighborhood variables 2) composites formed using factor analysis and 3) clusters identified using spatial latent class analysis in 2012. Regressions on separate neighborhood variables found low percentage of parks/recreation and low perceived safety were associated with higher BMI z-scores in boys and girls. Factor analysis found five factors: away-from-home food and recreation accessibility, community disadvantage, green space, retail/transit density, and supermarket accessibility. The first two factors were associated with BMI z-score in girls but not in boys. Spatial latent class analysis identified six clusters with complex combinations of both positive and negative environmental influences. In boys, the cluster with highest obesity (29.8%) included low socioeconomics, parks/recreation, and safety; high restaurant and convenience store density; and nearby access to gyms, supermarkets, and many transit stops. The mix of neighborhood-level barriers and facilitators of weight-related health behaviors leads to difficulties disentangling their associations with adolescent obesity; however, statistical approaches including factor and latent class analysis may provide useful means for addressing this complexity.
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影响因子：
3.1
作者：
Oreskovic, Nicolas M.;Kuhlthau, Karen A.;Perrin, James M.
通讯作者：
Perrin, James M.
影响因子：
5.5
作者：
Brownson, Ross C.;Hoehner, Christine M.;Day, Kristen;Forsyth, Ann;Sallis, James F.
通讯作者：
Sallis, James F.
DOI：
10.1111/j.1467-789x.2009.00572.x
发表时间：
2009-07
期刊：
Obesity reviews : an official journal of the International Association for the Study of Obesity
影响因子：
--
作者：
Dunton GF;Kaplan J;Wolch J;Jerrett M;Reynolds KD
通讯作者：
Reynolds KD
影响因子：
5.5
作者：
Powell, Lisa M.;Auld, M. Christopher;Johnston, Lloyd D.
通讯作者：
Johnston, Lloyd D.
影响因子：
4.8
作者：
Nelson, N. M.;Woods, C. B.
通讯作者：
Woods, C. B.