Sánchez Brisa N, Fu Han, Matsuzaki Mika, Sanchez-Vaznaugh Emma
Department of Epidemiology and Biostatistics, Drexel University, Philadelphia, PA 19104, USA.
Department of Biostatistics, University of Michigan, Ann Arbor, MI 48104, USA.
Prev Med Rep. 2022 Jul 29;29:101937. doi: 10.1016/j.pmedr.2022.101937. eCollection 2022 Oct.
It is challenging to evaluate associations between the food environment near schools with either prevalence of childhood obesity or with socioeconomic characteristics of schools. This is because the food environment has many dimensions, including its spatial distribution. We used latent class analysis to classify public schools in urban, suburban, and rural areas in California into food environment classes based on the availability and spatial distribution of multiple types of unhealthy food outlets nearby. All urban schools had at least one unhealthy food outlet nearby, compared to seventy-two percent of schools in rural areas did. Food environment classes varied in the quantity of available food outlets, the relative mix of food outlet types, and the outlets' spatial distribution near schools. Regardless of urbanicity, schools in low-income neighborhoods had greater exposure to unhealthy food outlets. The direction of associations between food environment classes and school size, type, and race/ethnic composition depends on the level of urbanicity of the school locations. Urban schools attended primarily by African American and Asian children are more likely to have greater exposures to unhealthy food outlets. In urban and rural but not suburban areas, schools attended primarily by Latino students had more outlets offering unhealthy foods or beverages nearby. In suburban areas, differences in the spatial distribution of food outlets indicates that food outlets are more likely to cluster near K-12 schools and high schools compared to elementary schools. Intervention design and future research need to consider that the associations between food environment exposures and school characteristics differ by urbanicity.
评估学校周边食物环境与儿童肥胖患病率或学校社会经济特征之间的关联具有挑战性。这是因为食物环境具有多个维度,包括其空间分布。我们使用潜在类别分析,根据附近多种类型不健康食品店的可及性和空间分布,将加利福尼亚州城市、郊区和农村地区的公立学校分类为不同的食物环境类别。所有城市学校附近至少有一家不健康食品店,相比之下,农村地区72%的学校附近有此类店铺。不同食物环境类别在可用食品店数量、食品店类型的相对组合以及学校附近店铺的空间分布方面存在差异。无论城市程度如何,低收入社区的学校接触不健康食品店的机会更多。食物环境类别与学校规模、类型以及种族/族裔构成之间关联的方向取决于学校所在地区的城市程度。主要由非裔美国人和亚裔儿童就读的城市学校更有可能更多地接触到不健康食品店。在城市和农村地区而非郊区,主要由拉丁裔学生就读的学校附近有更多提供不健康食品或饮料的店铺。在郊区,食品店空间分布的差异表明,与小学相比,食品店更有可能聚集在K - 12学校和高中附近。干预设计和未来研究需要考虑到食物环境暴露与学校特征之间的关联因城市程度而异。