Evidence map›Paper›PMID 42282502›Full record

ArticleInternational journal of endocrinology2026

Misclassification Bias in the Waist-To-Hip Ratio: Implications for Obesity-Related Risk of Incident Type 2 Diabetes.

Si Han Hou, Jiao Wang, Tai Hing Lam, Lin Yang, Wei Sen Zhang, Lin Xu

Abstract read
In one paragraph

Article in International journal of endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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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

6 authors.

Si Han HouSchool of Public Health, Sun Yat-sen University, Guangzhou, China, sysu.edu.cn.ORCID https://orcid.org/0009-0005-7559-5197
Jiao WangSchool of Public Health, Sun Yat-sen University, Guangzhou, China, sysu.edu.cn.ORCID https://orcid.org/0000-0002-7883-0341
Tai Hing LamGuangzhou Twelfth People's Hospital, Guangzhou, China.ORCID https://orcid.org/0000-0002-2033-9971
Lin YangSchool of Nursing, the Hong Kong Polytechnic University, Hong Kong SAR, China, polyu.edu.hk.ORCID https://orcid.org/0000-0002-5964-3233
Wei Sen ZhangGuangzhou Twelfth People's Hospital, Guangzhou, China.ORCID https://orcid.org/0000-0002-6691-4409
Lin XuSchool of Public Health, Sun Yat-sen University, Guangzhou, China, sysu.edu.cn.ORCID https://orcid.org/0009-0005-4197-6303

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Waist-to-hip ratio (WHR) directly reflects body fat distribution compared to other obesity indicators such as body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR). However, WHR may misclassify Type 2 diabetes mellitus (T2DM) risk by failing to account for the individual contribution of WC and hip circumference (HC). The study aimed to evaluate the discriminatory ability of WHR for T2DM and to identify its misclassification bias. Materials and Methods: This prospective cohort study included 15,211 Chinese participants aged 50+ years without T2DM at baseline (2003-08), with follow-up conducted from 2008 to 2015. The Cox proportional hazard regression model was used to examine associations between obesity indicators and T2DM. Discriminatory ability was evaluated using the C-statistic, net reclassification index (NRI), and integrated discrimination improvement (IDI). Results: During a median follow-up of 5.4 years, 2238 participants (14.71%) developed T2DM. Participants with large WC and large HC had a higher T2DM risk compared to those with small WC and small HC in the low or high WHR category (adjusted hazard ratios (95% confidence intervals [CIs]): 2.33 [1.98, 2.74], 1.73 [1.47, 2.03]). WHR showed lower discrimination (C-statistic 0.632, 95% CI 0.619, 0.645) than WC (0.645, 95% CI 0.632, 0.658) and WHtR (0.657, 95% CI 0.644, 0.670). Combining WHR with BMI significantly improved discrimination compared to WHR alone (△C-statistic, NRI, IDI, and 95% CIs were 0.028 [0.020, 0.035], 0.015 [0.012, 0.020], and 0.141 [0.115, 0.165]), and it showed better discriminatory ability compared to the combination of BMI and WC (△C-statistic 0.007, 95% CI 0.004, 0.011). Conclusions: WHR alone underestimates T2DM risk in individuals with large WC and large HC. Combining WHR with BMI addresses misclassification bias.

Indexed as

body fat distributionmisclassificationrisk stratificationType 2 diabetes mellituswaist-to-hip ratio

Identifiers

PMID42282502
PMCPMC13250689

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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.