Cited by 105Diabetes, Cardiovascular Risks, and LipoproteinsBody Composition Measurement TechniquesDiabetes Management and Research

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

Zhao, Q., Zhang, K., Li, Y., Zhen, Q., Shi, J., Yu, Y., Tao, Y., Cheng, Y. +1 more·2018·Diabetic Medicine

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.

Integrity signals

Registry

Crossref · 10.1111/dme.13787

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review