Spatial clusters of diabetes : individual and neighborhood characteristics in the ELSA-Brasil cohort study.

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorOliveira, Fernando Luiz Pereira de-
Autor(es): dc.creatorPimenta, Adriano Marçal-
Autor(es): dc.creatorDuncan, Bruce Bartholow-
Autor(es): dc.creatorGriep, Rosane Harter-
Autor(es): dc.creatorSouza, Gustavo Henrique Costa de-
Autor(es): dc.creatorBarreto, Sandhi Maria-
Autor(es): dc.creatorGiatti, Luana-
Data de aceite: dc.date.accessioned2025-08-21T15:34:16Z-
Data de disponibilização: dc.date.available2025-08-21T15:34:16Z-
Data de envio: dc.date.issued2025-01-07-
Data de envio: dc.date.issued2025-01-07-
Data de envio: dc.date.issued2022-
Fonte completa do material: dc.identifierhttps://www.repositorio.ufop.br/handle/123456789/19419-
Fonte completa do material: dc.identifierhttps://doi.org/10.1590/0102-311XEN138822-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1018613-
Descrição: dc.descriptionThis 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 character istics 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.-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Direitos: dc.rightsaberto-
Direitos: dc.rightsThis article is published in Open Access under the Creative Commons Attribution license, which allows use, distribution, and reproduction in any medium, without restrictions, as long as the original work is correctly cited. Fonte: PDF do artigo.-
Palavras-chave: dc.subjectNeighborhood-
Palavras-chave: dc.subjectCluster analysis-
Palavras-chave: dc.subjectSocioeconomic factors-
Título: dc.titleSpatial clusters of diabetes : individual and neighborhood characteristics in the ELSA-Brasil cohort study.-
Título: dc.titleAglomerados espaciais de diabetes : características individuais e de vizinhança no estudo longitudinal ELSA-Brasil.-
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