Cited by 120Diabetes, Cardiovascular Risks, and LipoproteinsObesity, Physical Activity, DietBody Composition Measurement Techniques

Defining Obesity Cut-Off Points for Migrant South Asians

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Gray, Laura J., Yates, Thomas, Davies, Melanie J., Brady, Emer, Webb, David R., Sattar, Naveed, Khunti, Kamlesh·2011·PLoS ONE

Abstract

BACKGROUND: Body mass index (BMI) and waist circumference (WC) are used to define cardiovascular and type 2 diabetes risk. We aimed to derive appropriate BMI and WC obesity cut-off points in a migrant South Asian population. METHODS: 4688 White Europeans and 1333 South Asians resident in the UK aged 40-75 years inclusive were screened for type 2 diabetes. Principal components analysis was used to derive a glycaemia, lipid, and a blood pressure factor. Regression models for each factor, adjusted for age and stratified by sex, were used to identify BMI and WC cut-off points in South Asians that correspond to those defined for White Europeans. FINDINGS: For South Asian males, derived BMI obesity cut-off points equivalent to 30.0 kg/m(2) in White Europeans were 22.6 kg/m(2) (95% Confidence Interval (95% CI) 20.7 kg/m(2) to 24.5 kg/m(2)) for the glycaemia factor, 26.0 kg/m(2) (95% CI 24.7 kg/m(2) to 27.3 kg/m(2)) for the lipid factor, and 28.4 kg/m(2) (95% CI 26.5 kg/m(2) to 30.4 kg/m(2)) for the blood pressure factor. For WC, derived cut-off points for South Asian males equivalent to 102 cm in White Europeans were 83.8 cm (95% CI 79.3 cm to 88.2 cm) for the glycaemia factor, 91.4 cm (95% CI 86.9 cm to 95.8 cm) for the lipid factor, and 99.3 cm (95% CI 93.3 cm to 105.2 cm) for the blood pressure factor. Lower ethnicity cut-off points were seen for females for both BMI and WC. CONCLUSIONS: Substantially lower obesity cut-off points are needed in South Asians to detect an equivalent level of dysglycemia and dyslipidemia as observed in White Europeans. South Asian ethnicity could be considered as a similar level of risk as obesity (in White Europeans) for the development of type 2 diabetes.

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  • South Asian body habitus is different enough to suggest a need for completely different cut-offs for obesity in BMI screening.

    “The importance of this diversity is illustrated by the South Asian body habitus that is different enough from others to suggest a need for completely different cut-offs for obesity in BMI screening [26].”

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Authors
Gray, L. J., Yates, T., Davies, M. J., Brady, E., Webb, D. R., Sattar, N., & Khunti, K.
Affiliations
  • University of Leicester (GB)
  • University Hospitals of Leicester NHS Trust (GB)
  • University of Glasgow (GB)
Corresponding author
Khunti, Kamlesh
Venue
PLoS ONE
Published
2011-10-19
Volume
6
Issue
10
Pages
e26464
ISSN
1932-6203 (ISSN-L)
OpenAlex
W1992562407
Cited by
120
References
1
Citations by year
2026: 4 · 2025: 3 · 2024: 8 · 2023: 9 · 2022: 8 · 2021: 5 · 2020: 10 · 2019: 10 · 2018: 8 · 2017: 9 · 2016: 10 · 2015: 8 · 2014: 10 · 2013: 16 · 2012: 2
FWCI
7.35
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (acceptedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Figshare (submittedVersion, cc-by)
  • Minerva Access (University of Melbourne) (submittedVersion, cc-by)
  • Leicester Research Archive (University of Leicester) (submittedVersion, cc-by)
Funders
  • University Hospitals of Leicester NHS Trust
  • National Institute for Health and Care Research
  • University of Leicester
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 › Physiology › Body Composition Measurement Techniques
Keywords
body mass index, waist circumference, type 2 diabetes risk, ethnic differences in obesity, dysglycemia, dyslipidemia, cardiovascular risk, sex differences
MeSH terms
Adult, Aged, Asia, Cardiovascular Diseases, Diabetes Mellitus, Type 2, Female, United Kingdom, Humans, Male, Middle Aged, Obesity, Risk Factors, Body Mass Index, Waist Circumference

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