Body mass index (BMI, ratio of height and weight, expressed as kg/m2) is widely used to define overweight and obesity across many countries, populations, races and ethnicities. It is obvious that weight and height are linked. Hence, to adjust for the proportion between height and weight, the use of BMI assumes that in a given population, weight scales to height squared. This assumption, as well as the thresholds for defining overweight (BMI between 25 to <30 kg/m2) or obesity (BMI ≥ 30 kg/m2) have been derived from studying Caucasian population, hence may or may not apply to various other groups globally. In this issue of the journal, a team of researchers1 including obesity researchers, mathematicians and anthropologist asked following three questions: “(1) Does weight scale to height squared in Asian Indians? (2) Does the weight-height relationship differ within different Asian populations (i.e. between Asian Indians and South Koreans)? and (3) Do BMI thresholds for overweight and obesity for South Koreans differ from those for Caucasians?”
Hood et al.1 used a dataset of 43,880 adult Asian Indian males of age 15–54 y, including 5549 members of various tribes to conclude that weight does scale close to 2 (squared) in this geographically, socio-economically, culturally and ethnically diverse population. Even the tribal population, known for its smaller body size and stature compared to general population, showed similar scaling. Hood et al.1 concluded that BMI, as defined, does normalise weight for height in Asian Indians. Hence, it would be appropriate to use current formula for calculation of BMI in Asian Indian population. Next, they used the Korean National Health and Nutrition Examination Survey (KNHANES) data and observed an overlap between South Korean and Asian Indian population for weight and height. But also, there was a segment of Asian Indian population that was smaller in weight as well as height compared to South Korean population. Finally, using available percent body fat cut-offs and cardiometabolic risk factors, Hood et al.1 calculated BMI thresholds for South Korean males and females, respectively, as 22 and 18 kg/m2 for overweight and 26 and 23 kg/m2 for obesity. These thresholds are lower than the current BMI cut-offs applicable to Caucasian populations.
As outlined by the authors, the limitations of this study1 include the lack of data for women in Asian Indian dataset, so the applicability of BMI for Asian Indian women could not be tested. Unlike the South Korean dataset, the lack of body fat percent or cardiometabolic risk factors in the Asian Indian dataset prevented derivation of BMI thresholds for overweight and obesity in Asian Indian population. Nonetheless, similar conclusions were reached for Indians by Dudeja et al.2, following which a Consensus statement for Asian Indians suggested the BMI cut-offs for overweight as ≥23 kg/m2 and for obesity as ≥25 kg/m2 3. These BMI cut-offs have been adapted by National Institute for Health and Care Excellence (UK) for migrant South Asians in UK as well4
The study by Hood et al.1 is important as it validates the use of BMI to study at least the Asian Indian and South Korean populations. Moreover, the study provides confidence to further research a very important health issue in South East Asian population. Obesity-related diseases, primarily type 2 diabetes in India and South Korea pose grim picture; in 2016, 4.8 million 30 y or older South Koreans (prevalence 13.7%) had diabetes, and about a quarter of population had prediabetes5. In 2017, 72.9 million Asian Indians in India (prevalence 8.8%) had diabetes and 24 million had prediabetes6. Rising obesity seems to be a main contributor; and dysmetabolic state is mainly linked with excess body fat and ectopic fat deposition in various organs7. At a given BMI, the amount of total body fat and ectopic fat is different between Caucasians and Asians8,9. In such situations where excess body fat predominates but body weight is not very high relative to Caucasians, BMI may fail to classify obesity or may underestimate it2,10. In a sample of 1513 Hong Kong Chinese men and women, the risk of having diabetes mellitus or hypertension was at lower BMI or waist circumference levels in Chinese than in Caucasians11. In their analysis, Hood et al.1, reach similar conclusions in South Korean populations, using body fat as comparator.
Asians, and South Asians in particular, have more severe inflammation, insulin resistance, and liver fat even when non-obese by BMI standards used for Caucasians9,12. Excess liver fat may occur in non-obese south Asians as well, and has been shown to be almost double the amount recorded in Caucasians when matched for weight; and is associated strongly with insulin resistance9,13. Other adipose tissue depots such as the deep subcutaneous abdominal adipose tissue, which could destabilise metabolism, are more in Asian Indians than white Caucasians14. Specifically, adipocytes in deep subcutaneous abdominal adipose tissue are smaller and express more pro-inflammatory genes than adipose tissue from other subcutaneous sites, and its higher metabolic activity contributes to systemic insulin resistance15. In general, it appears that instead of overall increase in body fat, excess regional fat deposition (abdominal, intra-abdominal visceral, subcutaneous and specifically deep subcutaneous) builds up inflammatory and insulin resistant milieu in Asian Indians, which may contribute to the development of dysglycemia16.
Asians, particularly South Asians have lower muscle mass (and sarcopenia) compared to Caucasians17. When body fat is high and skeletal muscle is less, overall BMI may not be raised substantially. In such situation, do changes in both body compartments contribute to insulin resistance and diabetes? This question has not been answered with reasonable certainty. But some recent publications suggest that skeletal muscle mass as important as adiposity, if not more. Using baseline data from UK Biobank Study (n, 418,656), South Asians had ~5–6 kg lower handgrip strength (as a surrogate of sarcopenia) than white Europeans and Blacks and that lower handgrip strength was associated with higher prevalence of diabetes, independent of confounding factors. Importantly, attributable risk for diabetes associated with low handgrip strength was substantially higher in South-Asian than other ethnic groups in UK18.
Given these data, and in light of paper by Hood et al.1, is it time to dichotomise classification of obesity by BMI to at least two categories; existing cut-offs for Caucasians, and different, lower cut-offs for Asian population? Asian population should probably have interventions at lower BMI to prevent diabetes and related complications10. Changes in guidelines would mean an increase in the number of individuals considered to have overweight or obesity. Consequentially, upgradation of health resources to tackle this additional burden will be required in many Asian countries. But this awareness could be an important step for containment of diabetes epidemic in Asian countries.
Hood, K. et al. Allometric scaling of weight to height and resulting body mass index thresholds in two Asian populations. Nutr. Diabet. (2018).
Dudeja, V. et al. BMI does not accurately predict overweight in Asian Indians in northern India. Br. J. Nutr. 86, 105–112 (2001).
Misra, A. et al. 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, 163–170 (2009).
Diabetes fact sheet in Korea. 2016. http://www.diabetes.or.kr/temp/KDA_fact_sheet%202016.pdf. Accessed Nov 2018.
Misra, A. et al. Diabetes, cardiovascular disease, and chronic kidney disease in South Asia: current status and future directions. BMJ 357, j1420 (2017).
Misra, A. & Khurana, L. Obesity-related non-communicable diseases: South Asians vs White Caucasians. Int. J. Obes. 35, 167–187 (2011).
Lear, S. A., Humphries, K. H., Kohli, S. & Birmingham, C. L. The use of BMI and waist circumference as surrogates of body fat differs by ethnicity. Obesity 15, 2817–2824 (2007).
Petersen, K. F. et al. Increased prevalence of insulin resistance and nonalcoholic fatty liver disease in Asian-Indian men. Proc. Natl Acad. Sci. USA 103, 18273–18277 (2006).
Misra, A. Redefining obesity in Asians: more definitive action is required from the WHO. Natl Med. J. India 17, 1–4 (2004).
Ko, G. T., Chan, J. C., Cockram, C. S. & Woo, J. Prediction of hypertension, diabetes, dyslipidaemia or albuminuria using simple anthropometric indexes in Hong Kong Chinese. Int. J. Obes. Relat. Metab. Disord. 23, 1136–1142 (1999).
Misra, A. et al. Body fat patterning, hepatic fat and pancreatic volume of non-obese asian indians with type 2 diabetes in north india: a case-control study. PLoS ONE 10, e0140447 (2015).
Bhatt, S. P., Misra, A. & Vikram, N. K. Non-alcoholic fatty liver disease in Asian Indians: relationship with insulin resistance, diabetes and cardiovascular risk. Curr. Sci. 113, 1303–1310 (2017).
Gulati, S. & Misra, A. Abdominal obesity and type 2 diabetes in Asian Indians: dietary strategies including edible oils, cooking practices and sugar intake. Eur. J. Clin. Nutr. 71, 850–857 (2017).
Marinou, K. et al. Structural and functional properties of deep abdominal subcutaneous adipose tissue explain its association with insulin resistance and cardiovascular risk in men. Diabetes Care 37, 821–829 (2014).
Hills, A. P. et al. Epidemiology and determinants of type 2 diabetes in south Asia. Lancet Diabet. Endocrinol . 6, 966–978 (2018).
Misra, A. et al. Body fat, metabolic syndrome and hyperglycemia in South Asians. J. Diabet. Complications. 32, 1068–1075 (2018).
Ntuk, U. E. et al. Association between grip strength and diabetes prevalence in black, South-Asian, and white European ethnic groups: a cross-sectional analysis of 418 656 participants in the UK Biobank study. Diabet. Med. 34, 1120–1128 (2017).
Conflict of interest
The authors declare that they have no conflict of interest.
Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Misra, A., Dhurandhar, N.V. Current formula for calculating body mass index is applicable to Asian populations. Nutr & Diabetes 9, 3 (2019). https://doi.org/10.1038/s41387-018-0070-9
Using Community-Based Participatory Research to Characterize Health and Lifestyle Behaviors of Montagnards, a Refugee-Origin Asian-American Subgroup
Journal of Immigrant and Minority Health (2021)
Journal of Assisted Reproduction and Genetics (2020)
Difference between the biologic and chronologic age as an individualized indicator for the skincare intensity selection: skin cell profile and age difference studies
Biomedical Dermatology (2019)