Author | Oliveira, Fernando Luiz Pereira de | |
Author | Pimenta, Adriano Marçal | |
Author | Duncan, Bruce Bartholow | |
Author | Griep, Rosane Harter | |
Author | Souza, Gustavo de | |
Author | Barreto, Sandhi Maria | |
Author | Giatti, Luana | |
Access date | 2023-05-27T15:14:51Z | |
Available date | 2023-05-27T15:14:51Z | |
Document date | 2023 | |
Citation | OLIVEIRA, Fernando Luiz Pereira de et al. Spatial clusters of diabetes: individual and neighborhood characteristics in the ELSA-Brasil cohort study. Cadernos de Saúde Pública, v. 39, n. 5, e00138822, p. 1 - 17, 2023. | en_US |
ISSN | 1678-4464 | en_US |
URI | https://www.arca.fiocruz.br/handle/icict/58773 | |
Language | eng | en_US |
Publisher | Fundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sergio Arouca | en_US |
Rights | open access | |
Subject in Portuguese | Vizinhança | en_US |
Subject in Portuguese | Análise de Cluster | en_US |
Subject in Portuguese | Fatores socioeconômicos | en_US |
Title | Spatial clusters of diabetes: individual and neighborhood characteristics in the ELSA-Brasil cohort study | en_US |
Alternative title | Aglomerados espaciais de diabetes: características individuais e de vizinhança no estudo longitudinal ELSA-Brasil | en_US |
Alternative title | Grupos espaciales de diabetes: características individuales y vecinales en el estudio longitudinal ELSA-Brasil | en_US |
Type | Article | |
DOI | 10.1590/0102-311XEN138822 | |
Abstract | This study identified spatial clusters of type 2 diabetes mellitus among participants of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) residing in two cities and verified individual and neighborhood socioeconomic environmental characteristics associated with the spatial clusters. A cross-sectional study was conducted with 4,335 participants. Type 2 diabetes mellitus was defined as fasting blood glucose ≥ 126mg/dL (7.0mmol/L), oral glucose tolerance test ≥ 200mg/dL (11.1mmol/L), or glycated hemoglobin ≥ 6.5% (48mmol/L); by antidiabetic drug use; or by the self-reported medical diagnosis of type 2 diabetes mellitus. Neighborhood socioeconomic characteristics were obtained from the 2011 Brazilian census. A spatial data analysis was conducted with the SaTScan method to detect spatial clusters. Logistic regression models were fitted to estimate the magnitude of associations. In total, 336 and 343 participants had type 2 diabetes mellitus in Belo Horizonte, Minas Gerais State (13.5%) and Salvador, Bahia State (18.5%), respectively. Two cluster areas showing a high chance of type 2 diabetes mellitus were identified in Belo Horizonte and Salvador. In both cities, participants living in the high type 2 diabetes mellitus cluster area were more likely to be mixed-race or black and have a low schooling level and manual work; these were also considered low-income areas. On the other hand, participants in the low type 2 diabetes mellitus cluster area of Salvador were less likely to be black and have low schooling level (university degree) and live in a low-income area. More vulnerable individual and neighborhood socioeconomic characteristics were associated with living in clusters of higher type 2 diabetes mellitus occurrence , whereas better contextual profiles were associated with clusters
of lower prevalence. | en_US |
Affilliation | Universidade Federal de Ouro Preto. Instituto de Ciências Exatas e Biológicas. Ouro Preto, MG, Brasil / Universidade Federal de Minas Gerais. Faculdade de Medicina. Belo Horizonte, MG, Brasil. | en_US |
Affilliation | Universidade Federal do Paraná. Setor de Ciências da Saúde. Curitiba, PR, Brasil. | en_US |
Affilliation | Universidade Federal do Rio Grande do Sul. Porto Alegre, RS, Brasil. | en_US |
Affilliation | Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Rio de Janeiro, RJ, Brasil. | en_US |
Affilliation | Universidade Federal de Ouro Preto. Instituto de Ciências Exatas e Biológicas. Ouro Preto, MG, Brasil. | en_US |
Affilliation | Universidade Federal de Minas Gerais. Faculdade de Medicina. Belo Horizonte, MG, Brasil. | en_US |
Affilliation | Universidade Federal de Minas Gerais. Faculdade de Medicina. Belo Horizonte, MG, Brasil. | en_US |
Subject | Neighborhood | en_US |
Subject | Cluster Analysis | en_US |
Subject | Socioeconomic Factors | en_US |