Evidence map›Paper›PMID 42461214›Full record

ArticleJournal of cachexia, sarcopenia and muscle2026

Body Mass Index and Risks of More Than 40 Cause-Specific Mortality in Chinese Women: A Prospective Cohort Study.

Jingcen Hu, Yalei Ke, Canqing Yu, Dianjianyi Sun, Yuanjie Pang, Pei Pei, Ling Yang, Yiping Chen, Huaidong Du, Xiaoyu Chang and 6 more

Abstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

16 authors.

Jingcen HuDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Yalei KeDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Canqing YuDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Dianjianyi SunDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Yuanjie PangDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Pei PeiPeking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China.
Ling YangClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Yiping ChenClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Huaidong DuClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Xiaoyu ChangNCDs Prevention and Control Department, Sichuan CDC, Sichuan, China.
Maxim BarnardClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Junshi ChenChina National Center for Food Safety Risk Assessment, Beijing, China.
Zhengming ChenClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Liming LiDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Jun LvDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.ORCID https://orcid.org/0000-0001-7916-3870
China Kadoorie Biobank Collaborative Group

Funding

British Heart Foundation CH/1996001/9454Cancer Research UK C16077/A29186Cancer Research UK C500/A16896Chinese Ministry of Science and Technology 2011BAI09B01Kadoorie Charitable Foundation in Hong KongNational Key R&D Program of China 2016YFC0900500National Natural Science Foundation of China 81390540National Natural Science Foundation of China 81941018National Natural Science Foundation of China 82192900National Natural Science Foundation of China 82192901National Natural Science Foundation of China 82192904National Natural Science Foundation of China 82388102National Natural Science Foundation of China 91846303Noncommunicable Chronic Diseases-National Science and Technology Major Project 2023ZD0510100Noncommunicable Chronic Diseases-National Science and Technology Major Project 2023ZD0510101UK Medical Research Council MC_U137686851UK Medical Research Council MC_UU_00017/1UK Medical Research Council MC_UU_12026/2Wellcome grants to Oxford University 088158/Z/09/ZWellcome grants to Oxford University 104085/Z/14/ZWellcome grants to Oxford University 202922/Z/16/ZWellcome grants to Oxford University 212946/Z/18/ZWellcome Trust
6 · The paper itself

Abstract

backgroundThe health consequences of being underweight are less well-studied than obesity. We aimed to examine the association between body mass index (BMI) and mortality from a wide range of diseases across the full BMI spectrum, with particular focus on how low BMI may affect premature and nonpremature death.

methodsAfter excluding ever-smokers and those with pre-existing major diseases, this study included 262 704 women aged 30-79 from the China Kadoorie Biobank. The baseline BMI (kg/m

resultsAt baseline, 3.9%, 7.8% and 11.4% of participants had BMIs (kg/m

conclusionAmong Chinese female healthy never-smokers, underweight was an important risk factor for all-cause and multiple cause-specific mortality, especially the risk of premature death. While addressing the global obesity epidemic, the negative health consequences of low weight should not be ignored.

Indexed as

Body Mass IndexAdultAgedCause of DeathChinaEast Asian PeopleFemaleHumansMiddle AgedProspective StudiesRisk Factorsbody mass indexobesitypremature deathunderweightwomen

Identifiers

PMID42461214
PMCPMC13374634

What OpenQuestion 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 OpenQuestion graph.