Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU Medical Centre Amsterdam, Amsterdam, The Netherlands.
Department of Social & Policy Sciences, University of Bath, Bath, United Kingdom.
Obes Facts. 2019;12(1):14-24. doi: 10.1159/000496118. Epub 2019 Jan 23.
This paper investigated the independent and joint associations between aspects of the physical neighbourhood environment and social neighbourhood factors with BMI and overweight status in European adults.
Data from 5,199 participants in the SPOTLIGHT survey were analysed. Participants reported on their height, weight and perceptions of the neighbourhood. Objectively measured aspects of the physical neighbourhood environment included: presence of recreational facilities, features of the active transportation environment, neighbourhood aesthetics and presence of different types of food outlets. Social factors included the self-reported variables social network, social cohesion, social trust and perceived crime and the census variable neighbourhood socioeconomic status. Outcome measures were BMI and overweight status. Main associations between physical and social factors and BMI/overweight status were analysed using multilevel regression analyses adjusted for confounders. Moderation analysis was conducted by adding the interaction terms between physical and social neighbourhood factors one by one to the multivariable models. Significant interaction terms were then stratified.
Significant associations with BMI/overweight status were found for features of the active transportation environment and all social factors, except perceived crime. Several significant interaction terms were detected, but no significant associations between the physical neighbourhood environment and BMI/overweight status were found after stratification.
We did not find consistent interactions between physical and social neighbourhood factors to explain BMI and overweight status.
本研究旨在调查欧洲成年人的身体邻里环境和社会邻里因素的各个方面与 BMI 和超重状况之间的独立和联合关联。
对 SPOTLIGHT 调查中的 5199 名参与者的数据进行了分析。参与者报告了他们的身高、体重和对邻里的看法。身体邻里环境的客观测量方面包括:娱乐设施的存在、积极交通环境的特征、邻里美感和不同类型的食品店的存在。社会因素包括社会网络、社会凝聚力、社会信任和感知犯罪等自报变量以及邻里社会经济地位的普查变量。BMI 和超重状况是研究的主要结果。使用多水平回归分析调整混杂因素后,分析了身体和社会因素与 BMI/超重状况之间的主要关联。通过逐个添加物理和社会邻里因素的交互项,对多变量模型进行了调节分析。然后对具有统计学意义的交互项进行分层分析。
积极交通环境的特征和所有社会因素(除感知犯罪外)与 BMI/超重状况均存在显著关联。检测到了几个具有统计学意义的交互项,但在分层后,并未发现身体邻里环境与 BMI/超重状况之间存在显著关联。
我们没有发现身体和社会邻里因素之间的一致相互作用可以解释 BMI 和超重状况。