Inácio Monique Louise Cassimiro, Dos Santos Luana Caroline, Honório Olívia Souza, Vieira E Souza Rafaela Cristina, da Silva Thales Philipe Rodrigues, Pessoa Milene Cristine
School of Nutrition, Federal University of Ouro Preto, Ouro Preto 35400000, Brazil.
Nursing School, Federal University of Minas Gerais, Belo Horizonte 30130100, Brazil.
Int J Environ Res Public Health. 2024 Dec 20;21(12):1700. doi: 10.3390/ijerph21121700.
The aim of the present study is to identify obesogenic environment profiles to find the obesogenic environment pattern for Belo Horizonte City. The current research followed the ecological approach and was substantiated by data from food shops, public sports venues, crime rates (homicides and robberies) and the rate of accidents with pedestrians. Descriptive analyses and principal component analysis (PCA) were conducted in Stata software, version 14.0. Georeferencing and map plotting were carried out in Qgis software, version 2.10. All neighborhoods in Belo Horizonte City (n = 486) were included in the study. The obesogenic pattern comprised the highest mean number of shops selling ultra-processed food, crime rates, and accidents with pedestrians. The generated latent variable was divided into tertiles, and the second and third tertiles represented the most obesogenic environments. Neighborhoods accounting for the highest obesogenic profile also recorded the largest number of shops selling all food types. Furthermore, neighborhoods in the third tertile recorded the highest mean income (BRL 2352.00) ( = 0.001) and the lowest Health Vulnerability Index (HVI = 54.2; = 0.001). These findings point towards the need for developing actions, policies and programs to improve these environments, such as tax incentives to open healthy food retailers and public sports venues to promote healthier lifestyles and to prevent diseases in the middle and long term.
本研究的目的是识别致肥胖环境概况，以找出贝洛奥里藏特市的致肥胖环境模式。当前的研究采用了生态学方法，并以食品店、公共体育场馆、犯罪率（凶杀案和抢劫案）以及行人事故率的数据为依据。在Stata软件14.0版本中进行了描述性分析和主成分分析（PCA）。在Qgis软件2.10版本中进行了地理配准和地图绘制。贝洛奥里藏特市的所有社区（n = 486）都纳入了本研究。致肥胖模式包括销售超加工食品的商店平均数量最多、犯罪率以及行人事故率。生成的潜在变量被分为三个三分位数，第二和第三个三分位数代表最具致肥胖性的环境。致肥胖概况最高的社区销售各类食品的商店数量也最多。此外，处于第三个三分位数的社区平均收入最高（2352.00巴西雷亚尔）（P = 0.001），健康脆弱性指数最低（HVI = 54.2；P = 0.001）。这些发现表明有必要制定行动、政策和计划来改善这些环境，例如提供税收激励以开设健康食品零售商和公共体育场馆，以促进更健康的生活方式并从中长期预防疾病。
