Capacity of a body shape index and body roundness index to identify diabetes mellitus in Han Chinese people in Northeast China: a cross‐sectional study
Abstract
Aim: To assess the capacity of a body shape index and body roundness index to identify people with diabetes mellitus and those with prediabetes, and to determine whether a body shape index and/or body roundness index is superior to the traditional overall adiposity index, BMI , in Han Chinese people in Northeast China. Methods: A total of 15 078 participants were enrolled from Jilin province in 2012 using a multi‐stage stratified random cluster sampling method. Demographic data were collected, and anthropometric indices and biochemical indices were measured. Receiver‐operating characteristic curves were used to compare the validity of each anthropometric index, and the area under the receiver‐operating characteristic curve was calculated for each anthropometric index. Results: Body roundness index had the highest areas under the receiver‐operating curve for prediabetes, diagnosed diabetes and undiagnosed diabetes in both men and women (all P <0.01). The optimum threshold values for body roundness index for prediabetes, undiagnosed diabetes and diagnosed diabetes, respectively, were 2.8, 3.7 and 3.3 in men, and 3.4, 3.8 and 3.6 in women. The cumulative proportions of prediabetes, undiagnosed diabetes and diagnosed diabetes identified by the optimum threshold values of body roundness index were 79.2%, 67.5% and 77.0% (82.3%, 62.5% and 75.3% in men; 74.6%, 74.9% and 78.3% in women), respectively. Conclusions: BMI , a body shape index and body roundness index may identify the presence of diabetes. Among the three anthropometric indices, BMI had the weakest association with diabetes. Body roundness index is an alternative index for assessing diabetes in Han Chinese people in Northeast China.
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BRI is well-documented as a robust predictor of diabetes, including prediabetes, cardiometabolic disorders, and metabolic syndrome.
“The BRI is well-documented as a robust predictor of diabetes, including prediabetes, cardiometabolic disorders, and metabolic syndrome32–34.”
From The nonlinear association between body roundness index and infertility in married women (2025) · cites this paper as [34]
BRI has been recognized as a reliable indicator for assessing NAFLD-associated conditions such as T2DM, insulin resistance, and metabolic syndrome.
“It has been recognized as a reliable indicator for assessing NAFLD-associated conditions such as T2DM, insulin resistance, and metabolic syndrome [45, 46].”
From Effectiveness of body roundness index for the prediction of nonalcoholic fatty liver disease: a systematic review and meta-analysis (2025) · cites this paper as [45]
Cites
Adipokines in inflammation and metabolic disease
Ouchi, N., Parker, J. L., Lugus, J. J., & Walsh, K. (2011) · Nature Reviews Immunology · doi:10.1038/nri2921 · Cited by 4,625 · see citing works
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Li, Z., Fan, C., Huang, J., Chen, Z., Yu, X., & Qian, J. (2024) · British Journal of Nutrition · doi:10.1017/s0007114524000357 · Cited by 50 · see citing works
Khanmohammadi, S., Fallahtafti, P., Habibzadeh, A., Ezzatollahi Tanha, A., Alamdari, A. A., Fallahtafti, P., & Shafi Kuchay, M. (2025) · Lipids in Health and Disease · doi:10.1186/s12944-025-02544-3 · Cited by 19 · see citing works
“It has been recognized as a reliable indicator for assessing NAFLD-associated conditions such as T2DM, insulin resistance, and metabolic syndrome [45, 46].”
The nonlinear association between body roundness index and infertility in married women
Fang, Y., Ren, D., Pan, J., & Xu, Q. (2025) · Scientific Reports · doi:10.1038/s41598-025-86948-2 · Cited by 5 · see citing works
- Authors
- Zhao, Q., Zhang, K., Li, Y., Zhen, Q., Shi, J., Yu, Y., Tao, Y., Cheng, Y., & Liu, Y.
- Affiliations
- Jilin University (CN)
- First Hospital of Jilin University (CN)
- Corresponding author
- Liu, Y.
- Venue
- Diabetic Medicine
- Publisher
- Wiley
- Published
- 2018-08-20
- Volume
- 35
- Issue
- 11
- Pages
- 1580-1587
- ISSN
- 0742-3071 (ISSN-L)
- 1464-5491
- OpenAlex
- W2886407703
- Cited by
- 105
- References
- 1
- Citations by year
- 2026: 14 · 2025: 22 · 2024: 19 · 2023: 10 · 2022: 9 · 2021: 13 · 2020: 9 · 2019: 6 · 2018: 3
- FWCI
- 6.16
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Diabetic Medicine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China (81573230)
- Ministry of Science and Technology of the People's Republic of China (2015DFA31580)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Keywords
- body shape index, body roundness index, diabetes mellitus, prediabetes, body mass index, anthropometric indices, diabetes screening, Han Chinese, Northeast China, diagnostic accuracy
- MeSH terms
- Adolescent, Adult, Aged, Body Weights and Measures, China, Cross-Sectional Studies, Diabetes Mellitus, Diagnostic Techniques, Endocrine, Female, Humans, Male, Middle Aged, Predictive Value of Tests, Risk Factors, Somatotypes, Asian People, Adiposity, Waist Circumference, Young Adult
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