Evidence map›Paper›PMID 25229473›Full record

ArticlePloS one2014

Bachelors, divorcees, and widowers: does marriage protect men from type 2 diabetes?

Marilyn C Cornelis, Stephanie E Chiuve, M Maria Glymour, Shun-Chiao Chang, Eric J Tchetgen Tchetgen, Liming Liang, Karestan C Koenen, Eric B Rimm, Ichiro Kawachi, Laura D Kubzansky

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 pooled it
5.1field-weighted citation impact, top 5% 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

34 citing papers in PubMed, 2 syntheses or guidelines pooled it, 70 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

10 authors at 3 institutions in 1 country.

Marilyn C CornelisDepartment of Nutrition, Harvard School of Public Health, Boston, Massachusetts, United States of America.
Stephanie E ChiuveDepartment of Nutrition, Harvard School of Public Health, Boston, Massachusetts, United States of America.
M Maria GlymourDepartment of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, California, United States of America.
Shun-Chiao ChangDepartment of Social and Behavioral Sciences, Harvard School of Public Health, Boston, Massachusetts, United States of America.
Eric J Tchetgen TchetgenDepartment of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, United States of America.
Liming LiangDepartment of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, United States of America.
Karestan C KoenenDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, United States of America.
Eric B RimmDepartment of Nutrition, Harvard School of Public Health, Boston, Massachusetts, United States of America; Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, United States of America.
Ichiro KawachiDepartment of Social and Behavioral Sciences, Harvard School of Public Health, Boston, Massachusetts, United States of America.
Laura D KubzanskyDepartment of Social and Behavioral Sciences, Harvard School of Public Health, Boston, Massachusetts, United States of America.
Harvard University · USColumbia University · USUniversity of California, San Francisco · US

Funding

BIOCHEMICAL AND GENETIC MARKERS OF TYPE 2 DIABETES RISKR01DK058845 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI HU, FRANK B · 2001 to 2013
$7.8M
Using GWAS Data for Enhanced Mendelian Randomization StudiesRC4MH092707 · NIMH · HARVARD SCHOOL OF PUBLIC HEALTH · PI KUBZANSKY, LAURA D · 2010 to 2010
$1.5M
Semiparametric Methods for Gene-environment InteractionR01ES020337 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI TCHETGEN TCHETGEN, ERIC JOEL · 2012 to 2015
$1.4M
NIDDK NIH HHS DK58845NIDDK NIH HHS R01 DK058845NIEHS NIH HHS R01 ES020337NIMH NIH HHS 1RC4 MH092707NIMH NIH HHS RC4 MH092707
6 · The paper itself

Abstract

While research has suggested that being married may confer a health advantage, few studies to date have investigated the role of marital status in the development of type 2 diabetes. We examined whether men who are not married have increased risk of incident type 2 diabetes in the Health Professionals Follow-up Study. Men (n = 41,378) who were free of T2D in 1986, were followed for ≤22 years with biennial reports of T2D, marital status and covariates. Cox proportional hazard models were used to compare risk of incident T2D by marital status (married vs unmarried and married vs never married, divorced/separated, or widowed). There were 2,952 cases of incident T2D. Compared to married men, unmarried men had a 16% higher risk of developing T2D (95%CI:1.04,1.30), adjusting for age, family history of diabetes, ethnicity, lifestyle and body mass index (BMI). Relative risks (RR) for developing T2D differed for divorced/separated (1.09 [95%CI: 0.94,1.27]), widowed (1.29 [95%CI:1.06,1.57]), and never married (1.17 [95%CI:0.91,1.52]) after adjusting for age, family history of diabetes and ethnicity. Adjusting for lifestyle and BMI, the RR for T2D associated with widowhood was no longer significant (RR:1.16 [95%CI:0.95,1.41]). When allowing for a 2-year lag period between marital status and disease, RRs of T2D for widowers were augmented and borderline significant (RR:1.24 [95%CI:1.00,1.54]) after full adjustment. In conclusion, not being married, and more specifically, widowhood was more consistently associated with an increased risk of type 2 diabetes in men and this may be mediated, in part, through unfavorable changes in lifestyle, diet and adiposity.

Indexed as

AdultAgedDiabetes Mellitus, Type 2HumansMaleMarital StatusMarriageMiddle AgedRisk FactorsSingle PersonWidowhood

Identifiers

PMID25229473
PMCPMC4167705
OpenAlexW2037811114

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.