Evidence mapPaperPMID 29696756Full record

ArticleDiabetes, obesity & metabolism2018

Female reproductive history and risk of type 2 diabetes: A prospective analysis of 126 721 women.

Nirmala Pandeya, Rachel R Huxley, Hsin-Fang Chung, Annette J Dobson, Diana Kuh, Rebecca Hardy, Janet E Cade, Darren C Greenwood, Graham G Giles, Fiona Bruinsma and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes, obesity & metabolism, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
5.2field-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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

  1. Pooled it
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  3. Sexual and reproductive health matters · 2025
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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

15 authors at 10 institutions in 6 countries.

Nirmala PandeyaSchool of Public Health, University of Queensland, Brisbane, Queensland, Australia.ORCID http://orcid.org/0000-0003-1462-4968
Rachel R HuxleyLa Trobe University, Melbourne, Victoria, Australia.
Hsin-Fang ChungSchool of Public Health, University of Queensland, Brisbane, Queensland, Australia.
Annette J DobsonSchool of Public Health, University of Queensland, Brisbane, Queensland, Australia.
Diana KuhMedical Research Council Unit for Lifelong Health and Ageing at UCL, London, UK.
Rebecca HardyMedical Research Council Unit for Lifelong Health and Ageing at UCL, London, UK.
Janet E CadeNutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, UK.
Darren C GreenwoodNutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, UK.
Graham G GilesCancer Epidemiology and Intelligence Division Centre, Cancer Council Victoria, Melbourne, Victoria, Australia.
Fiona BruinsmaCancer Epidemiology and Intelligence Division Centre, Cancer Council Victoria, Melbourne, Victoria, Australia.
Panayotes DemakakosDepartment of Epidemiology and Public Health, University College London, London, UK.
Mette Kildevaeld SimonsenUcDiakonissen and Parker Institute, Frederiksberg, Denmark.
Hans-Olov AdamiDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Elisabete WeiderpassDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Gita D MishraSchool of Public Health, University of Queensland, Brisbane, Queensland, Australia.
The University of Queensland · AUMRC Unit for Lifelong Health and Ageing · GBUniversity of Leeds · GBCancer Council Victoria · AUFrederiksberg Hospital · DKLa Trobe University · AUThe University of Melbourne · AUUniversity College London · GBUniversity of Helsinki · FIUniversity of Oslo · NO

Funding

Genetic Resources of the English Longit Study of AgingR01AG017644 · UNIVERSITY OF LONDON INST OF NEUROLOGY · 2000 to 2025
$11.8M
Medical Research Council MC UU 12019/1Medical Research Council MC_UU_12019/1Medical Research Council MC_UU_12019/2NIA NIH HHS R01 AG017644
6 · The paper itself

Abstract

aimTo examine the prospective associations between aspects of a woman's reproductive history and incident diabetes.

methodsWe pooled individual data from 126 721 middle-aged women from eight cohort studies contributing to the International Collaboration for a Life Course Approach to Reproductive Health and Chronic Disease Events (InterLACE). Associations between age at menarche, age at first birth, parity and menopausal status with incident diabetes were examined using generalized linear mixed models, with binomial distribution and robust variance. We stratified by body mass index (BMI) when there was evidence of a statistical interaction with BMI.

resultsOver a median follow-up of 9 years, 4073 cases of diabetes were reported. Non-linear associations with diabetes were observed for age at menarche, parity and age at first birth. Compared with menarche at age 13 years, menarche at ≤10 years was associated with an 18% increased risk of diabetes (relative risk [RR] 1.18, 95% confidence interval [CI] 1.02-1.37) after adjusting for BMI. After stratifying by BMI, the increased risk was only observed in women with a BMI ≥25 kg/m

conclusionsSeveral markers of a woman's reproductive history appear to be modestly associated with future risk of diabetes. Maintaining a normal weight in adult life may ameliorate any increase in risk conferred by early onset of menarche.

Indexed as

Reproductive HistoryAdultAge FactorsBody Mass IndexDiabetes Mellitus, Type 2FemaleHumansMenarcheMiddle AgedParityPregnancyProspective StudiesRisk Factorsage at first birthage at menarchehysterectomymenopausal statusoophorectomyparitytype 2 diabetes

Identifiers

PMID29696756
PMCPMC6105508
OpenAlexW2802662717

What Socratic 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 Socratic graph.