Evidence map›Paper›PMID 32745127›Full record

ArticlePloS one2020

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

Camila Maciel de Oliveira, Luciane Viater Tureck, Danilo Alvares, Chunyu Liu, Andrea Roseli Vançan Russo Horimoto, Mercedes Balcells, Rafael de Oliveira Alvim, José Eduardo Krieger, Alexandre Costa Pereira

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 4 countries.

Camila Maciel de OliveiraLaboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil.ORCID 0000-0001-6823-7395
Luciane Viater TureckDepartment of Genetics, Federal University of Parana, Curitiba, Brazil.
Danilo AlvaresDepartment of Statistics, Pontificia Universidad Católica de Chile, Santiago, Chile.ORCID 0000-0003-3764-0397
Chunyu LiuFramingham Heart Study, Framingham, MA, United States of America.
Andrea Roseli Vançan Russo HorimotoLaboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil.
Mercedes BalcellsGlobal CoCreation Lab, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States of America.
Rafael de Oliveira AlvimLaboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil.
José Eduardo KriegerLaboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil.
Alexandre Costa PereiraLaboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil.
Universidade de São Paulo · BRBoston University · USInstitut Químic de Sarrià · ESPontificia Universidad Católica de Chile · CLUniversidade Federal do Paraná · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Marital StatusAdultBlood GlucoseBrazilDiabetes Mellitus, Type 2EducationFemaleHumansHypertensionIncidenceLogistic ModelsMaleMiddle AgedObesityRacial GroupsRisk FactorsBlood Glucose

Identifiers

PMID32745127
PMCPMC7398527
OpenAlexW3047144169

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.