Obesogenic Environment in a Minas Gerais State Metropolis, Brazil

Analysis of Crime Rates, Food Shops and Physical Activity Venues

Dados Bibliográficos

ID15470546
AutoresMonique Louise Cassimiro Inácio (0000-0002-0675-0895, Universidade Federal de Ouro Preto), Luana Caroline Dos Santos (0000-0001-9836-3704, Universidade Federal de Minas Gerais), Olivia Souza Honório (0000-0003-4174-6987, Universidade Federal de Ouro Preto), Rafaela Cristina Vieira e Souza (0000-0003-2212-3776, Universidade Federal de Minas Gerais), Thales Philipe Rodrigues Da Silva (0000-0002-7115-0925, Universidade Federal de São Paulo), Milene Cristine Pessoa (0000-0002-1053-5450, Universidade Federal de Minas Gerais, autor correspondente)
Ano2024
Volume21
Fascículo12
Páginas1700-1700
Data de publicação2024-12-20
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores do periódicoISSN: 1661-7827 • E-ISSN: 1660-4601
EditoraMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph21121700
PMID39767539
OpenAlexW4405624443
IdiomaEN
Referências citadas22

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) ( p = 0.001) and the lowest Health Vulnerability Index (HVI = 54.2; p = 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

Business · Computer security · Environmental health · Geography · Socioeconomics · Sociology · Vulnerability (computing · Computer Science · Consumer Attitudes and Food Labeling · Medicine · Nutritional Studies and Diet · Obesity, Physical Activity, Diet