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基于贝叶斯空间多层模型的社区环境对韩国成年人肥胖的影响

Influence of Neighborhood Environment on Korean Adult Obesity Using a Bayesian Spatial Multilevel Model.

机构信息

Institute for Health and Society, Hanyang University, Seoul 04763, Korea.

Department of Preventive Medicine, College of Medicine, Hanyang University, Seoul 04763, Korea.

出版信息

Int J Environ Res Public Health. 2019 Oct 18;16(20):3991. doi: 10.3390/ijerph16203991.

DOI:10.3390/ijerph16203991
PMID:31635403
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6843842/
Abstract

Previous studies using spatial statistical modeling that account for spatial associations between geographic areas are scarce. Therefore, this study examines the association between neighborhood environment and obesity using a Bayesian spatial multilevel model. Data from 78,014 adults living in Gyeonggi province in Korea were drawn from the 2013-2014 Korean Community Health Survey. Korean government databases and ArcGIS software (version 10.1, ESRI, Redlands, CA) were used to measure the neighborhood environment for 546 administrative districts of Gyeonggi province. A Bayesian spatial multilevel model was implemented across gender and age groups. The findings indicate that women aged 19-39 years who lived in neighborhoods farthest away from parks were more likely to be obese. Men aged 40-59 years who lived in neighborhoods farther from public physical activity facilities and with lower population density were more likely to be obese. Obesity for women aged 19-39 years was the most spatially dependent, while obesity for women aged 40-59 years was the least spatially dependent. The results suggest that neighborhood environments that provide more opportunities for physical activity are negatively related to obesity. Therefore, the creation of physical activity in favorable neighborhood environments, considering gender and age, may be a valuable strategy to reduce obesity.

摘要

先前使用空间统计建模来考虑地理区域之间空间关联的研究很少。因此,本研究使用贝叶斯空间多层模型来检验邻里环境与肥胖之间的关联。本研究的数据来自韩国京畿道 2013-2014 年韩国社区健康调查的 78014 名成年人。韩国政府数据库和 ArcGIS 软件(版本 10.1,ESRI,雷德兰兹,加利福尼亚州)用于测量京畿道 546 个行政区域的邻里环境。在性别和年龄组之间实施了贝叶斯空间多层模型。研究结果表明,19-39 岁的女性居住在距离公园最远的社区中,更有可能肥胖。40-59 岁的男性居住在距离公共体育活动设施较远且人口密度较低的社区中,更有可能肥胖。19-39 岁女性的肥胖症最具空间依赖性,而 40-59 岁女性的肥胖症最不具空间依赖性。结果表明,提供更多体育活动机会的邻里环境与肥胖呈负相关。因此,考虑到性别和年龄,在有利的邻里环境中创造体育活动可能是减少肥胖的一种有价值的策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a87c/6843842/0ede93d15df2/ijerph-16-03991-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a87c/6843842/0ede93d15df2/ijerph-16-03991-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a87c/6843842/0ede93d15df2/ijerph-16-03991-g001.jpg

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