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BMI and morbidity in relation to body composition: a cross-sectional study of a rural community in North-East India

Published online by Cambridge University Press:  08 March 2007

R. Khongsdier*
Affiliation:
Department of Anthropology, North-Eastern Hill University, Permanent Campus, Umshing, Shillong, India
*
*Corresponding author: Dr R. Khongsdier, fax +91 364 2550076, email rkhongsdier@hotmail.com
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Abstract

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This paper deals with BMI and morbidity in relation to body-fat mass (BFM) and fat-free mass (FFM). The analysis was based on cross-sectional data concerning the age, household income, anthropometry and morbidity of 575 males aged 18–59 years from a rural community in North-East India. Data on morbidity were based on the self-reported morbidity (SRM) of the subjects during the last 4 weeks before the survey, whereas data on BMI and body composition were estimated from anthropometry. It was found that SRM was significantly associated with age and income. However, the relationship between BMI and SRM was not significant after adjusting for age and income. Separating the BMI into body-fat mass index (BFMI being BFM in kg divided by height squared in metres) and fat-free mass index (FFMI being FFM in kg divided by height squared in metres), it was found that BFMI was significantly associated with SRM after adjusting for age, income and FFMI. The subjects with a low (<2·9 kg/m2) BFMI were about 4·7 times (odds ratio 4·7, 95 % CI 2·6, 8·6) more likely to become sick than those with a normal (2·9–5·0 kg/m2) BFMI. In addition, the risk of becoming sick was higher in the subjects with a high (>5·0 kg/m2) BFMI than in those with a normal BFMI (odds ratio 3·9, 95 % CI 1·3, 9·8). However, the relationship between FFMI and morbidity was not clearly perceptible. It is therefore speculated that BMI may not always provide accurate information about the variation in body fat and body composition that is associated with morbidity.

Type
Research Article
Copyright
Copyright © The Nutrition Society 2005

References

Allison, DB, Fontaine, KR, Manson, JE, Stevens, J & Vanltallie, TB (1999) Annual deaths attributable to obesity in the United States. JAMA 282, 15301538.CrossRefGoogle ScholarPubMed
Barbagallo, CM, Cavera, G, Sapienza, M, Noto, D, Cefalú, AB, Pagano, M, Montalto, G, Notarbartolo, A & Averna, MR (2001) Prevalence of overweight and obesity in a rural Southern Italy population and relationships with total and cardiovascular mortality: the Ventimiglia di Sicilia project. Int J Obes Relat Metab Disord 25, 185190.CrossRefGoogle Scholar
Davies, PSW (1994) Anthropometry and body composition Anthropometry: The Individual and the Population, 130140 [Ulijaszek, SJ, Mascie-Taylor, CGN, editors] Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Deurenberg, P, Deurenberg-Yap, M (2003) Validity of body composition methods across ethnic population groups. Acta Diabetol 40, S246S249.CrossRefGoogle ScholarPubMed
Deurenberg-Yap, M, Schmidt, G, Van Staveren, WA & Deurenberg, P (2000) The paradox of low body mass index and high body fat percentage among Chinese, Malays and Indians in Singapore. Int J Obes Relat Metab Disord 24, 10111017.CrossRefGoogle ScholarPubMed
de Vanconcellos, MTL (1994) Body mass index: its relationship with food consumption and socio-economic variables in Brazil. Eur J Clin Nutr 48, S115S123.Google Scholar
Durnin, JVGA & Womersley, J (1974) Body fat assessed from total body density and its estimation from skinfold thickness: measurements on 481 men and women aged 16 to 72 years. Br J Nutr 32, 7797.CrossRefGoogle ScholarPubMed
Farrell, SW, Braun, LA, Barlow, CE, Cheng, YJ & Blair, SN (2002) The relation of body mass index, cardiorespiratory fitness, and all-cause mortality in women. Obes Res 10, 417423.CrossRefGoogle ScholarPubMed
Ferro-Luzzi, A, Petracchi, C, Kuriyan, R & Kurpad, AB (1997) Basal metabolism of weight-stable chronically undernourished men and women: lack of metabolic adaptation and ethnic differences. Eur J Clin Nutr 66, 10861093.Google ScholarPubMed
Forbes, GB (1987) Human Body Composition: Growth, Aging, Nutrition, and Activity, London: Springer-Verlag.CrossRefGoogle Scholar
Forbes, GB (1999) Longitudinal changes in adult fat-free mass: influence of body weight. Am J Clin Nutr 70, 10251031.CrossRefGoogle ScholarPubMed
Frankenfield, DC, Rowe, WA, Cooney, RN, Smith, JS & Becker, D (2001) Limits of body mass index to detect obesity and predict body composition. Nutrition 17, 2630.CrossRefGoogle ScholarPubMed
Gallagher, D, Heymsfield, SB, Heo, M, Jebb, SA, Murgatroyd, PR & Sakamoto, Y (2000) Healthy percentage body fat ranges: an approach for developing guidelines based on body mass index. Am J Clin Nutr 72, 694701.CrossRefGoogle ScholarPubMed
Garcia, M & Kennedy, E (1994) Assessing linkages between body mass index and morbidity in adults: evidence from four developing countries. Eur J Clin Nutr 48, S90S97.Google ScholarPubMed
Garn, SM, Leonard, WR & Hawthorne, WM (1986) Three limitations of the body mass index. Am J Clin Nutr 44, 996997.CrossRefGoogle ScholarPubMed
Garrow, JS (1988) Obesity and Related Diseases, Edinburgh: Churchill Livingstone.Google Scholar
Garrow, JS & Webster, J (1985) Quetelet's index (W/H2) as a measure of fatness. Int J Obes Relat Metab Disord 9, 147153.Google ScholarPubMed
Guo, SS, Zeller, C, Chumlea, WC & Siervogel, RM (1999) Aging, body composition, and lifestyle: the Fels longitudinal study. Am J Clin Nutr 70, 405411.CrossRefGoogle ScholarPubMed
Gurrici, S, Hartriyanti, Y, Hautvast, JG & Deurenberg, P (1998) Relationship between body fat and body mass index: differences between Indonesians and Dutch Caucasians. Eur J Clin Nutr 52, 779783.CrossRefGoogle ScholarPubMed
Himes, CL (2000) Obesity, disease, and functional limitation in later life. Demography 37, 7382.CrossRefGoogle ScholarPubMed
Hughes, VA, Frontera, W, Roubenoff, R, Evans, WJ & Singh, MAF (2002) Longitudinal changes in body composition in older men and women: role of body weight change and physical activity. Am J Clin Nutr 76, 473481.CrossRefGoogle ScholarPubMed
Immink, MD, Flores, R & Diaz, EO (1992) Body mass index, body composition and the chronic energy deficiency classification of rural adult populations in Guatemala. Eur J Clin Nutr 46, 419427.Google ScholarPubMed
James, WPT, Ferro-Luzzi, A & Waterlow, JC (1988) Definition of chronic energy deficiency in adults. Eur J Clin Nutr 42, 969981.Google ScholarPubMed
Johnston, FE (1982) Relationship between body composition and anthropometry. Hum Biol 54, 221245.Google ScholarPubMed
Jones, PRMJ, Bharadwaj, H, Bhatia, MR & Malhotra, MS (1976) Differences between ethnic groups in the relationship of skinfold thickness to body density.In Selected Topics in Environmental Biology, 373376 [Bhatia, B, Chhina, GS, Singh, B, editors] New Delhi: Interprint Publications.Google Scholar
Keys, A, Brozek, J, Henschel, A, Mickelson, O & Taylor, JL (1950) The Biology of Human Starvation, Minneapolis: University of Minnesota Press.CrossRefGoogle Scholar
Khongsdier, R (2001) Body mass index in twelve populations in Northeast India. Ann Hum Biol 28, 374383.CrossRefGoogle Scholar
Khongsdier, R (2002) Body mass index and morbidity in adult males of the War Khasi in Northeast India. Eur J Clin Nutr 56, 484489.CrossRefGoogle ScholarPubMed
Ko, GTC, Tang, J, Chan, JCN, Sung, R, Wu, MMF, Wai, HPS & Chen, R (2001) Lower BMI cut-off value to define obesity in Hong Kong Chinese: an analysis based on body fat assessment by bioelectrical impedance. Br J Nutr 85, 239242.CrossRefGoogle Scholar
Krueger, PM, Rogers, RG, Hummer, RA & Boardman, JD (2004) Body mass, smoking, and overall and cause-specific mortality among older US adults. Res Aging 26, 82107.CrossRefGoogle Scholar
Kyle, UG, Schutz, Y, Dupertuis, YM & Pichard, C (2003) Body composition interpretation: contributions of the fat-free mass index and the body fat mass index. Nutrition 19, 597604.CrossRefGoogle ScholarPubMed
Lin, WY, Lee, LT, Chen, CY, Lo, H, Hsia, HH, Liu, IL, Lin, RS, Shau, WY & Huang, KC (2002) Optimal cut-off values for obesity: using simple anthropometric indices to predict cardiovascular risk factors in Taiwan. Int J Obes Relat Metab Disord 26, 12321238.CrossRefGoogle ScholarPubMed
Mott, JW, Wang, J, Thornton, JC, Allison, DB, Heymsfield, SB & Pierson, RN (1999) Relation between body fat and age in 4 ethnic groups. Am J Clin Nutr 69, 10071013.CrossRefGoogle ScholarPubMed
Must, A, Spadano, J, Coakley, EH, Field, AE, Colditz, G & Dietz, WH (1999) The disease burden associated with overweight and obesity. JAMA 282, 15231529.CrossRefGoogle ScholarPubMed
Norgan, NG (1990) Body mass index and body energy stores in developing countries. Eur J Clin Nutr 44, S79S84.Google ScholarPubMed
Norgan, NG (1994) Population differences in body composition in relation to the body mass index. Eur J Clin Nutr 48, S10S27.Google ScholarPubMed
Norgan, NG (1995) The assessment of the body composition of populations.In Body Composition Techniques in Health and Disease, 195221 [Davies, PSW, Cole, TJ, editors]. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Norgan, NG & Ferro-Luzzi, A (1985) The estimation of body density in men: are general equations general?. Ann Hum Biol 12, 115.CrossRefGoogle ScholarPubMed
Nubé, M, Asenso-Okyere, WK & van den Boom, GJM (1998) Body mass index as indicator of standard of living in developing countries. Eur J Clin Nutr 52, 136144.CrossRefGoogle ScholarPubMed
Peterson, MJ, Czerwinski, SA & Siervogel, RM (2003) Development and validation of skinfold-thickness prediction equations with a 4-compartment model. Am J Clin Nutr 77, 11861191.CrossRefGoogle ScholarPubMed
Pichard, C, Kyle, UG, Morabia, A, Perrier, A, Vermeulen, B & Unger, P (2004) Nutritional assessment: lean body mass depletion at hospital admission is associated with an increased length of stay. Am J Clin Nutr 74, 613618.CrossRefGoogle Scholar
Prentice, AM & Jebb, SA (2001) Beyond body mass index. Obes Rev 2, 141147.CrossRefGoogle ScholarPubMed
Sadana, R (2000) Measuring reproductive health: review of community based approaches to assessing morbidity. Bull WHO 78, 640654.Google ScholarPubMed
Schutz, Y, Kyle, UUG & Pichard, C (2002) Fat-free mass index and fat mass index percentiles in Caucasians aged 18–98 y. Int J Obes Relat Metab Disord 26, 953960.CrossRefGoogle ScholarPubMed
Shetty, PS & James, WPT (1994) Body Mass Index: A Measure of Chronic Energy Deficiency in Adults Food and Nutrition Paper No. 56Rome: FAO.Google Scholar
Shiwaku, K, Anuurad, E, Enkhmaa, B, Nogi, A, Kitajima, K, Shimono, K, Yamane, Y & Oyunsuren, T (2004) Overweight Japanese with body mass indexes of 23.0–24.9 have higher risks for obesity-associated disorders: a comparison of Japanese and Mongolians. Int J Obes Relat Metab Disord 28, 152158.CrossRefGoogle ScholarPubMed
Siri, WE (1961) Body Composition from Fluid Spaces and Density: Analyses of Methods, Washington, DC: National Academy of Sciences.Google Scholar
Snedecor, GW & Cochran, WG (1967) Statistical Methods. Iowa: Iowa State University Press.Google Scholar
Strickland, SS & Tuffrey, VR (1997) Form and Function: A Study of Nutrition, Adaptation and Social Inequality in Three Gurung Villages of the Nepal Himalayas, London: Smith-Gordon.Google Scholar
Strickland, SS & Ulijaszek, SJ (1993) Body mass index, ageing and differential reported morbidity in rural Sawarak. Eur J Clin Nutr 47, 919.Google Scholar
Wagner, DR & Heyward, VH (2000) Measures of body composition in blacks and whites: a comparative review. Am J Clin Nutr 71, 13921402.CrossRefGoogle ScholarPubMed
Weiner, JS & Lourie, JA (1981) Practical Human Biology, London: Academic Press.Google Scholar
World Health Organization (1995) Physical Status: The Use and Interpretation of Anthropometry. Report of a WHO Expert Committee Technical Report Series No. 854Geneva:World Health Organization.Google Scholar
World Health Organization (2000) The Asia–Pacific Perspective: Redefining Obesity and its TreatmentGeneva:World Health Organization.Google Scholar
Yuan, JM, Ross, RK, Gao, YT & Yu, MC (1998) Body weight and mortality: a prospective evaluation in a cohort of middle-aged men in Shanghai, China. Int J Epidemiol 27, 824832.CrossRefGoogle Scholar