Defining Obesity Cut-Off Points for Migrant South Asians
Open accessAbstract
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].”
From Advantages and Limitations of the Body Mass Index (BMI) to Assess Adult Obesity (2024) · cites this paper as [26]
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Herman, W. H., Ma, Y., Uwaifo, G., Haffner, S., Kahn, S. E., Horton, E. S., Lachin, J. M., Montez, M. G., Brenneman, T., Barrett-Connor, E., et al. (2007) · Diabetes Care · doi:10.2337/dc06-2003 · Cited by 574 · see citing works
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Research works printed but not linked: 29
- [1]World Health Organization 1998 Obesity: Preventing and Managing the Global Epidemic. Report on a WHO consultation on obesity 11234459
- [2]Wen CP Cheng TYD Tsai SP Chan HT Hsu HL 2008 Are Asians at greater mortality risks for being overweight than Caucasians? Redefining obesity for Asians. Public Health Nutrition 12 4 497 506 18547457
- [3]World Health Organization Expert Consultation 2004 Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet 363 157 63 14726171
- [4]Razak F Anand SS Shannon H Vuksan V Davis B 2007 Defining obesity cut points in a multiethnic population. Circulation 115 2111 8 17420343
- [5]Jafar TH Chaturvedi N Pappas G 2006 Prevalence of overweight and obesity and their association with hypertension and diabetes mellitus in an Indo-Asian population. Can Med Assoc J 175 1071 7 17060656 PMC1609152
- [6]Misra A Wasir JS Pandey RM 2005 An evaluation of candidate definitions of the metabolic syndrome in adult Asian Indians. Diabetes Care 28 398 403 15677799
- [7]Misra A Vikram NK Gupta R Pandey RM Wasir JS 2006 Waist circumference cutoff points and action levels for Asian Indians for identification of abdominal obesity. Int J Obes 30 1 106 11 16189502
- [8]Misra A Chowbey PK Makkar BM Vikram NK Wasir JS 2009 Consensus statement for diagnosis of obesity, abdominal obesity and the metabolic syndrome for Asian Indians and recommendations for physical activity, medical and surgical management. J Assoc Physicians India 57 163 70 19582986
- [9]Kumar S Khunti K Hanif W Zaman J 2009 Position statement on diagnosis and treatment of obesity in British South Asians. http://www.sahf.org.uk/uploads/docs/newsdocs/10.doc. Accessed 14/10/2009 21401824
- [10]Kumar S Hanif W Zaman J Sattar N Patel K 2011 Lower thresholds for diagnosis and management of obesity in British South Asians. Int J Clin Pract 65 4 375 85 21401824
- [11]Wang Y Rimm EB Stampfer MJ Willett WC 2005 Comparison of abdominal adiposity and overall obesity in predicting risk of type 2 diabetes among men. Am J Clin Nutr 81 555 63 15755822
- [12]Janssen I Katzmarzyk PT Ross R 2004 Waist circumference and not body mass index explains obesity-related health risk. Am J Clin Nutr 79 379 84 14985210
- [13]Hojgaard B Gyrd-Hansen D Olsen KR Sogaard J Sorensen TI 2008 Waist circumference and body mass index as predictors of health care costs. PLoS ONE 3 7 e2619 doi: 10.1371/journal.pone.0002619 18612430 PMC2440800 · DOI
- [14]Wannamethee SG Papacosta O Whincup PH Carson C Thomas MC 2010 Assessing prediction of diabetes in older adults using different adiposity measures: a 7 year prospective study in 6,923 older men and women. Diabetologia 53 5 890 8 20146052 PMC2850526
- [15]Taylor AE Ebrahim S Ben-Shlomo Y Martin RM Whincup PH 2010 Comparison of the associations of body mass index and measures of central adiposity and fat mass with coronary heart disease, diabetes, and all-cause mortality: a study using data from 4 UK cohorts. Am J Clin Nutr 91 3 547 56 20089729
- [16]Webb DR Khunti K Srinivasan B Gray LJ Taub N 2010 Rationale and design of the ADDITION-Leicester study, a systematic screening programme and Randomised Controlled Trial of multi-factorial cardiovascular risk intervention in people with Type 2 Diabetes Mellitus detected by screening. Trials 11 16 PMC2841160 20170482
- [17]Alberti KG Zimmet PZ 1998 Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabetic Medicine 15 539 53 9686693
- [18]Likhari T Gama R 2010 Ethnic differences in glycated haemoglobin between white subjects and those of South Asian origin with normal glucose tolerance. J Clin Pathol 63 278 80 20203232
- [20]Mathers H Keen H 1985 Southall Diabetes Survey: prevalence of known diabetes. BMJ 291 1081 4 3931804 PMC1417018
- [21]Oza-Frank R Ali MK Vaccario V Narayan V 2009 Asian-Americans: Diabetes prevalence across U.S. and WHO weight classifications. Diabetes Care 32 1644 6 19509010 PMC2732150
- [22]Gholap N Davies M Patel K Sattar N Khunti K 2011 Type 2 diabetes and cardiovascular disease in South Asians. Prim Care Diabetes 5 1 45 56 20869934
- [23]Mohan V Deepa M Farooq S Narayan KMV Datta M 2007 Anthropometric cut points for identification of cardiometabolic risk factors in an urban Asian Indian population. Metabolism 56 961 8 17570259
- [24]Tuan NT Adair LS Suchindran CM He K Popkin BM 2009 The association between body mass index and hypertension is different between East and Southeast Asians. Am J Clin Nutr 89 1905 12 19369374 PMC2714374
- [25]He M Li ETS Harris S Huff MW Yau CY 2010 Anthropometric surrogate cutoffs and metabolic abnormalities among Canadians of East Asian, South Asian, and European descent. Can Fam Physician 56 5 e174 82 20463258 PMC2868628
- [26]Cameron AJ Sicree RA Zimmet PZ Alberti KG Tonkin AM 2010 Cut-points for waist circumference in Europids and south Asians. Obesity 18 2039 46 20019679
- [27]Fischbacher CM Hunt S Alexander L 2004 How physically active are South Asians in the United Kingdom? A literature review. J Public Health 26 250 8 15454592
- [28]Ramachandran A Snehalatha C Mary S Mukesh B Bhaskar AD 2006 The Indian Diabetes Prevention Programme shows that lifestyle modification and metformin prevent type 2 diabetes in Asian Indian subjects with impaired glucose tolerance (IDPP-1). Diabetologia 49 289 97 16391903
- [29]Lear SA Toma M Birmingham CL Frohlich JJ 2003 Modification of the relationship between simple anthropometric indices and risk factors by ethnic background. Metabolism 52 1295 301 14564681
- [32]Webb DR Gray LJ Khunti K Srinivasan B Taub N 2011 Screening for diabetes using an oral glucose tolerance test within a western multi-ethnic population identifies modifiable cardiovascular risk: the ADDITION-Leicester study. Diabetologia 54 9 2237 46 21638133
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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
- ORCID
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2011-10-19
- Volume
- 6
- Issue
- 10
- Pages
- e26464
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC3198431
- 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
- gold
- doi.org
- 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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