Evidence mapPaperPMID 42366014Full record

ArticleBMJ open2026

Breastfeeding and risk of maternal type 2 diabetes: a prospective cohort study of 280 000 women in China.

Johanna Kaminer, Christiana Kartsonaki, Paul Sherliker, Ling Yang, Andri Iona, Pei Pei, Yiping Chen, Dianjianyi Sun, Xiaoming Yang, Yan Lu and 8 more

Abstract read
In one paragraph

Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

18 authors.

Johanna KaminerClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Christiana KartsonakiClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-3981-3418
Paul SherlikerClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Ling YangClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Andri IonaClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Pei PeiDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
Yiping ChenClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Dianjianyi SunDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
Xiaoming YangClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Yan LuSuzhou Center for Disease Prevention and Control, Suzhou, Jiangsu, 215004, China, Suzhou, China.
Huaidong DuClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Jun LvDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
Canqing YuDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.ORCID http://orcid.org/0000-0002-0019-0014
Junshi ChenChina National Center for Food Safety Risk Assessment, Beijing, China.
Liming LiDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
Zhengming ChenClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK fiona.bragg@ndph.ox.ac.uk zhengming.chen@ndph.ox.ac.uk.ORCID http://orcid.org/0000-0001-6423-105X
Fiona BraggClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK fiona.bragg@ndph.ox.ac.uk zhengming.chen@ndph.ox.ac.uk.ORCID http://orcid.org/0000-0002-9181-6886
China Kadoorie Biobank Collaborative Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreastfeeding may be associated with lower future risk of maternal type 2 diabetes (T2D). However, existing evidence is inconsistent and derived largely from studies in high-income countries. We assess the association of breastfeeding and breastfeeding duration with incident T2D among Chinese women. RESEARCH DESIGN AND

methodsThe prospective China Kadoorie Biobank recruited 512 724 adults from 10 localities across China between 2004 and 2008. During 11.8 years' follow-up, 12 011 cases of incident T2D were recorded among 283 855 female participants without prior diabetes. Cox regression was used to estimate adjusted HRs for incident T2D associated with ever breastfeeding, mean breastfeeding duration per child and lifetime breastfeeding duration.

resultsOverall, 98.6% of female participants were parous, among whom 97.2% reported ever breastfeeding, with mean lifetime breastfeeding duration and breastfeeding duration per child of 34.8 and 14.9 months, respectively. Among parous female participants, there was no clear association between ever breastfeeding and risk of incident T2D (adjusted HR 1.06 (95% CI 0.94 to 1.20)). A modest log-linear positive association was observed between lifetime breastfeeding duration and incident T2D among parous female participants who ever breastfed (1.01 (1.01 to 1.02) per 6 months longer breastfeeding), but this was attenuated after adjustment for parity (1.00 (0.99 to 1.01)). Mean breastfeeding duration per child was not associated with incident T2D (1.01 (0.99 to 1.02) per 6 months longer breastfeeding).

conclusionsIn this population with almost universal childbearing and breastfeeding, there was no apparent association of ever breastfeeding or of breastfeeding duration with incident T2D.

Indexed as

Breast FeedingDiabetes Mellitus, Type 2AdultChinaFemaleHumansIncidenceMiddle AgedParityProportional Hazards ModelsProspective StudiesRisk FactorsTime FactorsChinaDiabetes Mellitus, Type 2EPIDEMIOLOGY

Identifiers

PMID42366014
PMCPMC13311600

What Socratic holds

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Registered trials

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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.