Cited by 220Diabetes, Cardiovascular Risks, and LipoproteinsObesity, Physical Activity, DietAdipokines, Inflammation, and Metabolic Diseases

Ethnic-specific obesity cutoffs for diabetes risk: cross-sectional study of 490,288 UK biobank participants

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Ntuk, Uduakobong E., Gill, Jason M.R., Mackay, Daniel F., Sattar, Naveed, Pell, Jill P.·2014·Diabetes Care

Abstract

OBJECTIVE: To compare the relationship between adiposity and prevalent diabetes across ethnic groups in the UK Biobank cohort and to derive ethnic-specific obesity cutoffs that equate to those developed in white populations in terms of diabetes prevalence. RESEARCH DESIGN AND METHODS: UK Biobank recruited 502,682 U.K. residents aged 40–69 years. We used baseline data on the 490,288 participants from the four largest ethnic subgroups: 471,174 (96.1%) white, 9,631 (2.0%) South Asian, 7,949 (1.6%) black, and 1,534 (0.3%) Chinese. Regression models were developed for the association between anthropometric measures (BMI, waist circumference, percentage body fat, and waist-to-hip ratio) and prevalent diabetes, stratified by sex and adjusted for age, physical activity, socioeconomic status, and heart disease. RESULTS: Nonwhite participants were two- to fourfold more likely to have diabetes. For the equivalent prevalence of diabetes at 30 kg/m2 in white participants, BMI equated to the following: South Asians, 22.0 kg/m2; black, 26.0 kg/m2; Chinese women, 24.0 kg/m2; and Chinese men, 26.0 kg/m2. Among women, a waist circumference of 88 cm in the white subgroup equated to the following: South Asians, 70 cm; black, 79 cm; and Chinese, 74 cm. Among men, a waist circumference of 102 cm equated to 79, 88, and 88 cm for South Asian, black, and Chinese participants, respectively. CONCLUSIONS: Obesity should be defined at lower thresholds in nonwhite populations to ensure that interventions are targeted equitably based on equivalent diabetes prevalence. Furthermore, within the Asian population, a substantially lower obesity threshold should be applied to South Asian compared with Chinese groups.

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  • Redistribution of body fat into ectopic sites occurs with ageing, possibly even without weight regain.

    “redistribution of body fat into ectopic sites occurs with ageing, 30,31 possibly even without weight regain”

    From 5-year follow-up of the randomised Diabetes Remission Clinical Trial (DiRECT) of continued support for weight loss maintenance in the UK: an extension study (2024) · cites this paper as [31]

    The Discussion says that body fat may be deposited in the abdomen and liver at a lower BMI in some ethnic groups, but it does not link that deposition to ageing. Searches for ageing-related fat redistribution and weight gain found no passage addressing whether it occurs with age or without weight regain. No page number is available in our copy. (LLM, conf=0.76)

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Authors
Ntuk, U. E., Gill, J. M. R., Mackay, D. F., Sattar, N., & Pell, J. P.
Affiliations
University of Glasgow (GB)
Corresponding author
Pell, Jill P.
Venue
Diabetes Care
Published
2014-08-07
Volume
37
Issue
9
Pages
2500-2507
ISSN
  • 0149-5992 (ISSN-L)
  • 1935-5548
OpenAlex
W2157288306
Cited by
220
References
31
Citations by year
2026: 12 · 2025: 26 · 2024: 14 · 2023: 14 · 2022: 18 · 2021: 21 · 2020: 17 · 2019: 12 · 2018: 21 · 2017: 23 · 2016: 17 · 2015: 20 · 2014: 5
FWCI
17.44
Type
journal article
Language
en
Open access
Locations
  • Diabetes Care (publishedVersion)
  • PubMed (publishedVersion)
  • ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (acceptedVersion)
Funders
  • Wellcome Trust (093707)
  • British Heart Foundation
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
  • Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
Keywords
diabetes risk, ethnic differences, South Asian ethnicity, Black ethnicity, Chinese ethnicity, body mass index, waist circumference, waist-to-hip ratio, body fat percentage, diabetes prevalence, UK Biobank
MeSH terms
Adult, Aged, Cross-Sectional Studies, Diabetes Mellitus, Ethnicity, Female, United Kingdom, Humans, Male, Middle Aged, Obesity, Risk Factors, Body Mass Index, Prevalence, Biological Specimen Banks, Waist-Hip Ratio, Adiposity, Waist Circumference

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