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SUFFICIENTLY GOOD MEASURES OF OBESITY: THE CASE OF A DEVELOPING COUNTRY

Published online by Cambridge University Press:  15 January 2014

KITAE SOHN*
Affiliation:
Kookmin University, Seoul, South Korea

Summary

Obesity is pandemic, but no consensus has yet emerged regarding appropriate tools for measuring it. Medical research based on populations in the developed world has largely dismissed body mass index (BMI) because it is a weak predictor of some health outcomes. In contrast, social science research still relies on it for its simplicity and ready availability in surveys. This paper uses consistent definitions and measures to select sufficiently good predictors of health and economic outcomes from among the anthropometrics that are considered alternatives to BMI. The results from the Indonesian Family Life Survey indicate that BMI and waist circumference are better predictors than waist-to-height ratio and waist-to-hip ratio. This paper argues that given its advantages, BMI is an adequate measure of obesity for Indonesia and possibly for the developing world. Further, if BMI is to be replaced, waist circumference is preferable to other anthropometrics.

Type
Articles
Copyright
Copyright © Cambridge University Press 2014 

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References

Ashwell, M. & Hsieh, S. D. (2005) Six reasons why the waist-to-height ratio is a rapid and effective global indicator for health risks of obesity and how its use could simplify the international public health message on obesity. International Journal of Food Sciences and Nutrition 56, 303307.CrossRefGoogle ScholarPubMed
Ashwell, M., LeJeune, S. & Pherson, K. (1996) Ratio of waist circumference to height may be better indicator of need for weight management. British Medical Journal 312, 377.Google Scholar
Baum, C. (2009) The effects of cigarette costs on BMI and obesity. Health Economics 18, 319.CrossRefGoogle ScholarPubMed
Bhattacharya, J. & Bundorf, M. K. (2009) The incidence of the healthcare costs of obesity. Journal of Health Economics 28, 648658.CrossRefGoogle ScholarPubMed
Blanchflower, D. G., Oswald, A. J. & van Landeghem, B. (2009) Imitative obesity and relative utility. Journal of the European Economic Association 7, 528538.Google Scholar
Borjas, G. J. & Bronars, S. G. (1989) Consumer discrimination and self-employment. Journal of Political Economy 97, 581605.Google Scholar
Burkhauser, R. V. & Cawley, J. (2008) Beyond BMI: the value of more accurate measures of fatness and obesity in social science research. Journal of Health Economics 27, 519529.Google Scholar
Cawley, J. (2004) The impact of obesity on wages. Journal of Human Resources 39, 451474.Google Scholar
Cawley, J., Moran, J. & Simon, K. (2010) The impact of income on the weight of elderly Americans. Health Economics 19, 979993.Google Scholar
Chou, S., Grossman, M. & Saffer, H. (2004) An economic analysis of adult obesity: results from the Behavioral Risk Factor Surveillance System. Journal of Health Economics 23, 565587.CrossRefGoogle ScholarPubMed
Courtemanche, C. (2009) Rising cigarette prices and rising obesity: coincidence or unintended consequences? Journal of Health Economics 28, 781798.Google Scholar
Dalton, M., Cameron, A. J., Zimmet, P. Z., Shaw, J. E., Jolley, D., Dunstan, D. W. & Welborn, T. A. (2003) Waist circumference, waist–hip ratio and body mass index and their correlation with cardiovascular disease risk factors in Australian adults. International Internal Medicine 254, 555563.Google ScholarPubMed
De Garine, I. & Pollock, N. (eds) (1995) Social Aspects of Obesity. Taylor & Francis, Oxon.Google Scholar
Dobbelsteyn, C. J., Joffres, M. R., MacLean, D. R., Flowerdew, G. & The Canadian Heart Health Surveys Research Group (2001) A comparative evaluation of waist circumference, waist-to-hip ratio and body mass index as indicators of cardiovascular risk factors: the Canadian Heart Health Surveys. International Journal of Obesity 25, 652661.Google Scholar
Ferland, M., Després, J. P., Tremblay, A., Pinault, S., Nadeau, A., Moorjani, S.et al. (1989) Assessment of adipose tissue distribution by computed axial tomography in obese women: association with body density and anthropometric measurements. British Journal of Nutrition 61, 139148.CrossRefGoogle ScholarPubMed
Field, A. E., Coakley, E. H., Must, A., Spadano, J. L., Laird, N., Dietz, W. H.et al. (2001) Impact of overweight on the risk of developing common chronic diseases during a 10-year period. Archives of Internal Medicine 161, 15811586.CrossRefGoogle ScholarPubMed
Finkelstein, E. A., Ruhm, C. & Kosa, K. (2005) Economic causes and consequences of obesity. Annual Review of Public Health 26, 239257.Google Scholar
Gruber, J. & Frakes, M. (2006) Does falling smoking lead to rising obesity? Journal of Health Economics 25, 183187.Google Scholar
Ho, S., Chen, Y., Woo, J., Leung, S., Lam, T. & Janus, E. (2001) Association between simple anthropometric indices and cardiovascular risk factors. International Journal of Obesity 25, 16891697.Google Scholar
Ho, S. Y., Lam, T. H. & Janus, E. D. (2003) Waist to stature ratio is more strongly associated with cardiovascular risk factors than other simple anthropometric indices. Annals of Epidemiology 13, 683691.Google Scholar
Hsieh, S. D., Yoshinaga, H. & Muto, T. (2003) Waist-to-height ratio, a simple and practical index for assessing central fat distribution and metabolic risk in Japanese men and women. International Journal of Obesity 27, 610616.Google Scholar
Kragelund, C. & Omland, T. (2005) A farewell to body-mass index? Lancet 366, 15891591.Google Scholar
Laibson, D. (1997) Golden eggs and hyperbolic discounting. Quarterly Journal of Economics 112, 443477.Google Scholar
Lemieux, S., Prud'homme, D., Bouchard, C., Tremblay, A. & Després, J. P. (1996) A single threshold of waist girth identifies normal-weight and overweight subjects with excess visceral adipose tissue. American Journal of Clinical Nutrition 64, 685693.Google Scholar
Morris, S. (2006) Body mass index and occupational attainment. Journal of Health Economics 25, 347364.Google Scholar
Must, A., Spadano, J., Coakley, E. H., Field, A. E., Colditz, G. & Dietz, W. H. (1999) The disease burden associated with overweight and obesity. Journal of the American Medical Association 282, 15231529.CrossRefGoogle ScholarPubMed
Peeters, A., Barendregt, J. J., Willekens, F., Mackenbach, J. P., Al Mamun, A. & Bonneux, L. (2003) Obesity in adulthood and its consequences for life expectancy: a life-table analysis. Annals of Internal Medicine 138, 2432.Google Scholar
Prentice, A. M. (2006) The emerging epidemic of obesity in developing countries. International Journal of Epidemiology 35, 9399.Google Scholar
Rhum, C. (2012) Understanding overeating and obesity. Journal of Health Economics 31, 781796.CrossRefGoogle Scholar
Sargent, J. D. & Blanchflower, D. B. (1994) Obesity and stature in adolescence and earnings in young adulthood. Archives of Paediatrics & Adolescent Medicine 148, 681687.Google Scholar
Schmeiser, M. D. (2009) Expanding wallets and waistlines: the impact of family income on the BMI of women and men eligible for the earned income tax credit. Health Economics 18, 12771294.Google Scholar
Smalley, K. J., Knerr, A. N., Kendrick, Z. V., Colliver, J. A. & Owen, O. E. (1990) Reassessment of body mass indices. American Journal of Clinical Nutrition 52, 405408.CrossRefGoogle ScholarPubMed
Snijder, M. B., Visser, M., Dekker, J. M., Seidell, J. C., Fuerst, T., Tylavsky, F.et al. (2002) The prediction of visceral fat by dual-energy X-ray absorptiometry in the elderly: a comparison with computed tomography and anthropometry. International Journal of Obesity 26, 984993.Google Scholar
Sobal, J. & Stunkard, A. J. (1989) Socioeconomic status and obesity: a review of the literature. Psychological Bulletin 105, 260275.Google Scholar
Sohn, K. (2013a) Monetary and non-monetary returns to education in Indonesia. Developing Economies 51, 3459.Google Scholar
Sohn, K. (2013b) Sources of happiness in Indonesia. Singapore Economic Review 58, 1350014.CrossRefGoogle Scholar
Sohn, K. (forthcoming) A note on the effects of education on youth smoking in a developing country. Journal of the Asia Pacific Economy.Google Scholar
Vazquez, G., Duval, S., Jacobs, D. R. & Silventoinen, K. (2007) Comparison of body mass index, waist circumference, and waist/hip ratio in predicting incident diabetes: a meta-analysis. Epidemiologic Reviews 29, 115128.Google Scholar
WHO Expert Committee (1995) Physical Status: The Use and Interpretation of Anthropometry. WHO Technical Report Series, No. 854. World Health Organization, Geneva.Google Scholar
WHO Expert Consultation (2004) Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet 363, 157163.Google Scholar
WHO (2000a) Obesity: Preventing and Managing the Global Epidemic. Report of a WHO Consultation. WHO Technical Report Series No. 894. World Health Organization, Geneva.Google Scholar
WHO (2000b) The Asia-Pacific Perspective: Redefining Obesity and its Treatment. World Health Organization, Geneva.Google Scholar
WHO (2003) Diet, Nutrition and the Prevention of Chronic Diseases. Report of a Joint WHO/FAO Expert Consultation. WHO Technical Report Series No. 916. World Health Organization, Geneva.Google Scholar
WHO (2011) Global Status Report on Noncommunicable Diseases 2010. World Health Organization, Geneva.Google Scholar
Yusuf, S.et al. (2005) Obesity and the risk of myocardial infarction in 27000 participants from 52 countries: a case-control study. Lancet 366, 16401649.CrossRefGoogle Scholar