Evidence map›Paper›PMID 39223976›Full record

ArticleObesity (Silver Spring, Md.)2024

Comparison of race- and ethnicity-specific BMI cutoffs for categorizing obesity severity: a multicountry prospective cohort study.

Sujing Wang, Jie Shen, Woon-Puay Koh, Jian-Min Yuan, Xiang Gao, Yinshun Peng, Yaqing Xu, Shuxiao Shi, Yue Huang, Ying Dong and 1 more

Abstract readComparative StudyMulticenter Study
In one paragraph

Article in Obesity (Silver Spring, Md.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  9. Prevalence and predictive testing preferences for breast cancer treatment side effects.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 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

11 authors.

Sujing WangDepartment of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jie ShenMedical Records and Statistics Office, Shanghai Sixth People's Hospital of Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Woon-Puay KohHealthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Jian-Min YuanUPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Xiang GaoDepartment of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, Shanghai, China.
Yinshun PengDepartment of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, Shanghai, China.
Yaqing XuDepartment of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shuxiao ShiDepartment of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yue HuangDepartment of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ying DongDepartment of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Victor W ZhongDepartment of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0000-0001-9208-4683

Funding

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
Cancer epidemiology cohorts in Shanghai and Singapore UM1CA182876 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YUAN, JIAN-MIN · 2014 to 2018
$4.3M
Innovative Research Team of High-level Local Universities in ShanghaiNational Key Research and Development Program of China 2023YFC2506700National Medical Research Council CSA-SI MOH-000434National Natural Science Foundation of China 82373551NCI NIH HHS R01 CA080205NCI NIH HHS R01 CA144034NCI NIH HHS UM1 CA182876NIH HHS R01 CA144034NIH HHS UM1 CA182876Shanghai Municipal Health Commission Shanghai Key Discipline of Public Health GWVI-11.1-20
6 · The paper itself

Abstract

objectiveThe objective of this study was to compare race- and ethnicity-specific BMI cutoffs for the three classes of obesity based on equivalent risk of type 2 diabetes (T2D).

methodsParticipants without T2D were included from the UK Biobank, the China Health and Nutrition Survey, and the Singapore Chinese Health Study. Poisson regressions with restricted cubic splines were applied to determine BMI cutoffs for each non-White race and ethnicity for equivalent incidence rates of T2D at BMI values of 30.0, 35.0, and 40.0 kg/m

resultsDuring a median follow-up of 13.8 years among 507,763 individuals, 5.2% developed T2D. In women, BMI cutoffs for an equivalent incidence rate of T2D as observed at 40.0 kg/m

conclusionsEstablishing a race- and ethnicity-tailored classification of the three classes of obesity is urgently needed.

Indexed as

Body Mass IndexDiabetes Mellitus, Type 2ObesityAdultAgedAsian PeopleChinaEthnicityFemaleHumansIncidenceMaleMiddle AgedNutrition SurveysProspective StudiesRacial Groups

Identifiers

PMID39223976
PMCPMC11421961

What OpenQuestion holds

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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.