Relationship between marital status and incidence of type 2 diabetes mellitus in a Brazilian rural population: The Baependi Heart Study.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2020
Historique:
received: 19 08 2019
accepted: 16 07 2020
entrez: 4 8 2020
pubmed: 4 8 2020
medline: 2 10 2020
Statut: epublish

Résumé

Many factors influence the incidence of type 2 diabetes mellitus (T2DM). Here, we investigated the associations between socio-demographic characteristics and familial history with the 5-year incidence of T2DM in a family-based study conducted in Brazil. T2DM was defined as baseline fasting blood glucose ≥ 126 mg/dL or the use of any hypoglycaemic drug. We excluded individuals with T2DM at baseline or if they did not attend two examination cycles. After exclusions, we evaluated a sample of 1,125 participants, part of the Baependi Heart Study (BHS). Mixed-effects logistic regression models were used to assess T2DM incident given different characteristics. At the 5-year follow-up, the incidence of T2DM was 6.7% (7.2% men and 6.3% women). After adjusting for age, sex, and education status, the model that combined marital and occupation status, skin color, and familial history of T2DM provided the best prediction for T2DM incidence. Only marital status was independently associated with T2DM incidence. Individuals that remained married, despite having significantly increased their weight, were significantly less likely to develop diabetes than their divorced counterparts.

Identifiants

pubmed: 32745127
doi: 10.1371/journal.pone.0236869
pii: PONE-D-19-23399
pmc: PMC7398527
doi:

Substances chimiques

Blood Glucose 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0236869

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Camila Maciel de Oliveira (CM)

Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil.
Department of Integrative Medicine, Federal University of Parana, Curitiba, Brazil.
Global CoCreation Lab, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States of America.

Luciane Viater Tureck (L)

Department of Genetics, Federal University of Parana, Curitiba, Brazil.

Danilo Alvares (D)

Department of Statistics, Pontificia Universidad Católica de Chile, Santiago, Chile.

Chunyu Liu (C)

Framingham Heart Study, Framingham, MA, United States of America.
Department of Biostatistics, Boston University, Boston, MA, United States of America.

Andrea Roseli Vançan Russo Horimoto (ARVR)

Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil.

Mercedes Balcells (M)

Global CoCreation Lab, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States of America.
Bioengineering Department, Institut Quimic de Sarria, Ramon Llull Univ, Barcelona, Spain.

Rafael de Oliveira Alvim (R)

Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil.
Department of Physiological Sciences, Federal University of Amazonas, Manaus, Brazil.

José Eduardo Krieger (JE)

Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil.

Alexandre Costa Pereira (AC)

Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil.

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