Identification of Obesity and Cardiovascular Risk in Ethnically and Racially Diverse Populations: Going Beyond BMI

Last Updated: May 16, 2023


Disclosure: Disclosure: Dr. Hayman has nothing to disclose.
Pub Date: Monday, Jul 06, 2015
Author: Laura L. Hayman, PhD, MSN
Affiliation: University of Massachusetts Boston

Obesity, defined as excess fat (adipose) tissue accumulation that may have adverse health effects,1 is highly prevalent in adults in the United States and worldwide. Accumulated data underscore the cardiometabolic health risks that are associated with obesity in adulthood, including such chronic conditions as Type 2 diabetes as well as cardiovascular disease (CVD).

In this paper, Rao and colleagues call our attention to an important and underemphasized topic: the accurate identification of overweight and obese adults who are at high risk for obesity-related adverse health conditions. Body-mass index (BMI), a surrogate measure of obesity, is commonly used in research as well as in clinical practice to classify individuals as overweight or obese. Current cut points for classifying adults as overweight (BMI ≥25 kg/m2) or obese (BMI >/= 30 kg/m2) are based on a criterion standard supposedly reflecting morbidity and mortality.2 Recent evidence, albeit not extensive, suggests that compared to normal weight BMI (20-25 kg/m2), a BMI between the overweight and obese cut points, is associated with lower mortality while a BMI of 30-35 kg/m2 is not associated with increased mortality.3 In addition, research and anecdotal observations have demonstrated that many individuals with a normal BMI have excess levels of adiposity while others have a high BMI and are metabolically “healthy”. 4,5 The issue of misclassification is particularly relevant for individuals from racial and ethnic minority populations who currently comprise ~ 40% of the US population with predictions indicating they may make up more than half of the population by 2050. 6,7 Of particular note, current BMI cut points provide a poor estimate of adiposity among Japanese Americans where the optimal BMI for identifying individuals at increased risk for two or more major risk factors for CVD has been estimated at 23.3 kg/m2 for women and 25.3 kg/m2 for men.8 Similarly, estimates suggest much lower than current cut points for identifying risk among Asians and Asian Americans 9 and lower cutoffs for predicting diabetes among men of Mexican origin as compared with their white non-Hispanic male counterparts.10

Taken together, as emphasized by Rao and colleagues in this paper, it is time to look beyond BMI in identifying obesity and cardiovascular risk, particularly in ethnically and racially diverse populations. Lessons learned point to the utility of adding another measure of adiposity such as waist circumference (WC) to the clinician’s and researcher’s tool box for capturing adiposity associated with adverse health conditions. The writing group for this paper endorses using WC measured annually in adults and by standard technique.11 Indeed, WC, a measure of abdominal adiposity, correlates with amount of visceral adipose tissue (VAT), which is strongly associated with cardiovascular risk.12,13 This recommendation is consistent with the AHA/ACC 2013 Guideline for the Management of Overweight and Obesity In Adults.14 Central to this recommendation is the need to increase knowledge and awareness about the importance of WC as a measure of cardiovascular risk among health care professionals, as well as the public, and the need for training of health care professionals on the accurate measurement of WC.

Going forward, additional research is needed with diverse racial and ethnic populations to determine the usefulness of emerging non-invasive techniques for anthropometric measurements, as well as the utility of incorporating both standard and emerging measures in cardiovascular risk prediction models for these populations. Considering the cardiovascular health of future generations, we have an urgent need to advocate for and conduct additional research focused on the accurate assessment of obesity and cardiovascular risk in children and adolescents of diverse racial and ethnic backgrounds. The future is now!

Citation


Rao G, Powell-Wiley TM, Ancheta I, Hairston K, Kirley K, Lear SA, North KE, Palaniappan L, Rosal MC; on behalf of the American Heart Association Obesity Committee of the Council on Lifestyle and Cardiometabolic Health. Identification of obesity and cardiovascular risk in ethnically and racially diverse populations: a scientific statement from the American Heart Association [published online ahead of print July 6, 2015]. Circulation. doi: 0.1161/CIR.0000000000000223.

References


  1. World Health Organization. Obesity and overweight. Accessed 22 June 2015.
  2. Kuczmarski RJ, Flegal KM. Criteria for definition of overweight in transition: background and recommendations for the United States. Am J Clin Nutr. 2000;72:1074-81.
  3. Flegal KM, Kit BK, Orpana H, Graubard BL. Association of all-cause mortality with overweight and obesity using standard body mass index categories: a systematic review and meta-analysis. JAMA. 2013; 309 (1): 71-82.
  4. Karelis AD, St-Pierre DH, Conus F, Rabasa-Lhoret R, Poehlman ET. Metabolic and body composition factors in subgroups of obesity: what do we know? J Clin Endocrinol Metab. 2004; 89 (6): 2569-75.
  5. Ogorodnikova AD, Kim M, McGinn AP, Munter P, Khan U, Wildman RP. Incident cardiovascular disease events in metabolically benign obese individuals. Obesity (Silver Spring). 2012; 20(3): 651-9.
  6. US Census Bureau. State and county quick facts. http://quickfacts.census.gov/qfd/states/00000.html. Accessed 22 June 2015.
  7. Pew Hispanic Center. US population projections 2005-2050. http://www.pewhispanic.org/files/reports/85.pdf. Accessed 22 June 2015
  8. Hayashi T, Boyko EJ, McNeeley MJ, Leonetti DL, Kahn SE, Fujimoto WY. Minimum waist and visceral fat values for identifying Japanese Americans at risk for the metabolic syndrome. Diabetes Care. 2007; 30(1): 120-7.
  9. Deurenberg-Yap M, Deurenberg P. Is a re-evaluation of WHO body mass index cut-off values needed? The case of Asians in Singapore. Nutr Rev. 2003;61 (5 Pt2): S80-7.
  10. Diaz VA, Mainous AG, 3rd, Baker R, Caremolla M, Majeed A. How does ethnicity affect the association between obesity and diabetes? Diabet Med. 2007; 24(11): 1199-204.
  11. NHLBI Obesity Education Initiative. The practical guide. Identification, evaluation and treatment of overweight and obesity in adults. National Institutes of Health (NIH Publication Number 00-4084), 2000.
  12. Taylor RW, Keil D, Gold EJ, Williams SM, Goulding A. Body mass index, waist girth, and waist-to-hip ratio as indexes of total and regional adiposity in women: evaluation using receiver operating characteristic curves. Am J Clin Nutr. 1998; 67 (1): 44-9.
  13. Nicklas BJ, Penninx BW, Cesari M, Kritchevsky SB, Newman AB, Kanaya AM, Pahor M, Jingzhong D, Harris TB; Health, Aging and Composition Study. Association of visceral adipose tissue with incident myocardial infarction in older men and women: the Health, Aging and Body Composition Study. Am J Epidemiol. 2004; 160:741-9.
  14. Jensen MD, Ryan DH, Apovian CM, Ard JD, Comuzzie AG, Donato KA, Hu FB, Hubbard VS, Jakicic JM, Kushner RF, Loria CM, Millen BE, Nonas CA, Pi-Sunyer FX, Stevens J, Stevens VJ, Wadden TA, Wolfe BM, Yanovski SZ. 2013 AHA/ACC/TOS guideline for the management of overweight and obesity in adults: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and the Obesity Society. Circulation. 2014; 129(25 Suppl 2): S102-38.

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