Evidence map›Paper›PMID 23786390›Full record

ArticleBJOG : an international journal of obstetrics and gynaecology2013

Higher parity is associated with an increased risk of type-II diabetes in Chinese women: the Singapore Chinese Health Study.

N T Mueller, N J Mueller, A O Odegaard, M D Gross, W P Koh, J M Yuan, M A Pereira

Abstract read
In one paragraph

Article in BJOG : an international journal of obstetrics and gynaecology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 7% 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, 1 synthesis or guideline pooled it, 82 citations in OpenAlex.

  1. Pooled it
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  8. Association of Parity with Type 2 Diabetes Mellitus in Japan.Reproductive sciences (Thousand Oaks, Calif.) · 2025
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  13. Adverse pregnancy outcomes and risk of type 2 diabetes in postmenopausal women.American journal of obstetrics and gynecology · 2024
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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

7 authors at 2 institutions in 2 countries.

N T MuellerDivision of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN, USA.
N J Mueller
A O Odegaard
M D Gross
W P Koh
J M Yuan
M A Pereira
University of Minnesota · USUniversity of Pittsburgh · US

Funding

Cardiovascular Disease Epidemiology &Prevention TrngT32HL007779 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI PAMELA L. Lutsey, JAMES S PANKOW · 1994 to 2026
$9.3M
Prospective studies of cancer etiology and prevention in Shanghai and SingaporeR01CA144034 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YUAN, JIAN-MIN · 2010 to 2014
$7.0M
THE SINGAPORE COHORT STUDY OF DIET AND CANCERR01CA080205 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI YUAN, JIAN-MIN · 1999 to 2009
$5.3M
Genetic and Environmental Determinants of Type 2 Diabetes in Chinese SingaporeansR01DK080720 · NIDDK · UNIVERSITY OF MINNESOTA · PI PEREIRA, MARK A · 2009 to 2013
$3.1M
Dietary Factors in the Etiology of Colorectal CancerR01CA098497 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI YUAN, JIAN-MIN · 2004 to 2008
$1.6M
COHORT STUDY OF DIET AND NASOPHYARYNGEAL CANCERR01CA055069 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI YU, MIMI C. · 1992 to 1992
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ENVIRONMENTAL EXPOSURES IN CANCER ETIOLOGYR35CA053890 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI YU, MIMI C. · 1992 to 1998
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NCI NIH HHS R01 CA055069NCI NIH HHS R01 CA080205NCI NIH HHS R01 CA098497NCI NIH HHS R01 CA144034NCI NIH HHS R35 CA053890NHLBI NIH HHS T32 HL007779NHLBI NIH HHS T32HL007779NIDDK NIH HHS R01 DK080720
6 · The paper itself

Abstract

objectiveThe association between parity and type-II diabetes has been studied primarily in Western populations, and the findings have been inconsistent. Here, we examine whether parity was positively associated with incident type-II diabetes in Singaporean Chinese women.

designProspective cohort study.

settingSingapore. POPULATION: A total of 25,021 Singaporean Chinese women aged 45-74 years from the Singapore Chinese Health Study who were free of cancer, heart disease, stroke, and diabetes at baseline (1993-1998).

methodsWomen were followed through 2004 for incident diabetes. Hazard ratios for type-II diabetes were computed across parity (of live births) categories and adjusted for baseline age, interview year, dialect, education, smoking, dietary pattern, physical activity, age at menarche, oral contraceptive use, menopausal status, hormone therapy use, and body mass index (BMI).

main outcome measureSelf-reported diabetes, as diagnosed by a doctor.

resultsOver an average of 5.7 person-years of follow-up, 1294 women were diagnosed with diabetes. Before and after multivariable adjustment there was a positive graded association between parity and type-II diabetes risk (P < 0.001). In the fully adjusted model, which included adult BMI, the risk of type-II diabetes increased by 31% (from -2 to 76%), 62% (from 22 to 116%), and 74% (from 29 to 133%) for women with one or two, three or four, and five or more live births, respectively, compared with women with no live births. Moreover, in a supplementary multivariate analysis in non-diabetic women we found a positive monotonic association between parity and glycated haemoglobin (HbA1c) (P = 0.01).

conclusionsIncreased parity may be a risk factor for type-II diabetes in Chinese women. More research is needed on lifestyle and physiologic factors that may explain this association.

Indexed as

AgedAsian PeopleBody Mass IndexDiabetes Mellitus, Type 2Epidemiologic MethodsFemaleHumansMiddle AgedParityPregnancySingaporeSmokingCohort studiesEpidemiologypregnancyprevention of type-II diabetes

Identifiers

PMID23786390
PMCPMC4038299
OpenAlexW1972670178

What OpenQuestion holds

Textmetadata
LicenceTDM
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.