Nutrición Hospitalaria 00366 / http://dx.doi.org/10.20960/nh.366

Trabajo Original

Bmi, bmifat, bai or baifels – which is the best adiposity index for the detection of excess weight?

Bruna Ramos Silva, Mirele Savegnago Mialich, Daniel J Hoffman, Alceu Afonso Jordão

VOLUMEN 34, NÚM. 2, marzo-abril (2017), PAG. 389-395

Logo Descargas Número de descargas: 2098 Logo Visitas Número de visitas: 7410 Citas Citas: 6

Compártelo:

Objective: To compare the diagnostic performance of adiposity indeces body mass index (BMI), body mass index adjusted for fat mass (BMIfat), body adiposity index (BAI) and body adiposity index for the Fels Longitudinal Study sample (BAIFels) and the overweight detection in a sample of the Brazilian population.Methods: Cross-sectional study with 501 individuals (female/male = 387/114), which underwent anthropometric measurements and body composition for subsequent calculation of adiposity indices. Statistical analyzes considered p < 0.05 as statistically significant.Results: The averages were: age of 46.94 ± 14.22 years and 48.05 ± 14.40 years, weight 79.5 ± 16, 14 kg and 70.42 ± 16,62 kg, height 172.86 ± 7.6 cm and 159.0 ± 7,35 cm, for men and women, respectively. According to the eutrophic ratings and overweight, the BMIfat ranked 40.3% and 34.0% for men and 21.7% and 65.0% for females, r espectively. While the BAI held 47.7% and 62.3% for men and 65.6% and 34.4% for women, respectively. The receiver operating characteristic (ROC) curve of BMIfat was clearly superior to all other indexes for both men (93.1%) and women (97.8%), respectively.Conclusion: Findings suggest that BMIfat is the index that has better relationship with the prediction of body fat, BAI did not exceed the limitations of BMI. Future studies should seek to expand this study by adopting the gold standard methods such as DXA and it is necessary to extend the investigation of the validity of adiposity indices to different ethnic groups.

Palabras Clave: Body mass index. Adiposity index. Fat mass.

Descargar PDF (ENGLISH)

Citas
Bibliografía

Hayford, Frank Ekow Atta, Appiah, Collins Afriyie, Al Hassan, Taofik, Asamoah-Boakye, Odeafo, Asante, Matilda (2019) A pilot study comparing bioelectrical impedance analysis and body mass index in determining obesity among staff of a Ghanaian University. Nutrition & Food Science

Chwałczyńska, Agnieszka, Kosendiak, Aureliusz, Sobiech, Krzysztof Andrzej, Andrzejewski, Waldemar (2022) Fat–fat-free index in body mass assessment in young people. Frontiers in Physiology

Andreacchi, Alessandra T., Griffith, Lauren E., Guindon, G. Emmanuel, Mayhew, Alexandra, Bassim, Carol, Pigeyre, Marie, Stranges, Saverio, Anderson, Laura N. (2021) Body mass index, waist circumference, waist-to-hip ratio, and body fat in relation to health care use in the Canadian Longitudinal Study on Aging. International Journal of Obesity

BENDLOVÁ, B., VAŇKOVÁ, M., HILL, M., VACÍNOVÁ, G., LUKÁŠOVÁ, P., VEJRAŽKOVÁ, D., ŠEDOVÁ, L., ŠEDA, O., VČELÁK, J. (2017) ZBTB16 Gene Variability Influences Obesity-Related Parameters and Serum Lipid Levels in Czech Adults. Physiological Research

da Silva, Bruna Ramos, Mialich, Mirele Savegnago, de Paula, Francisco José Albuquerque, Jordao, Alceu Afonso (2017) Comparison of new adiposity indices for the prediction of body fat in hospitalized patients. Nutrition

Guinter, Mark A., Gapstur, Susan M., McCullough, Marjorie L., Flanders, W. Dana, Wang, Ying, Rees-Punia, Erika, Alcaraz, Kassandra I., Pollak, Michael N., Campbell, Peter T. (2020) Prospective Association of Energy Balance Scores Based on Metabolic Biomarkers with Colorectal Cancer Risk. Cancer Epidemiology, Biomarkers & Prevention

Nguyen DM, El-Serag HB. The Epidemiology of Obesity. Gastroenterol Clin North Am 2010; 39 (1): 1-7.
DOI: 10.1016/j.gtc.2009.12.014

Haidar YM, Cosman BC. Obesity Epidemiology. Clinics in Colon and Rectal Surgery 2011; 24 (4): 205-210.
DOI: 10.1055/s-0031-1295684

Berghofer A, Pischon T, Reinhold T, Apovian CM, Sharma AM, Willich SN. Obesity prevalence from a Europe perspective: a systematic review. BMC Public Health 2008; 8(200): 1-10.

Vigitel Brazil 2014: protective and risk factors for chronic diseases by telephone survey.

Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: Prevalence and trends, 1960-1994. International Journal of Obesity and Related Metabolic Disorders 1998; 22: 39-47.
DOI: 10.1038/sj.ijo.0800541

Quetelet LAJ. Comparative statistics in the 19th century. Farnborough, United Kingdom: Gregg International Publishers; 1973. A treatise on man and the development of his faculties. Edinburgh, United Kingdom: William and Robert Chambers, 1842.

Mialich MS, Martinez EZ, Garcia RWD, Jordao Jr AA. New body mass index adjusted for fat mass (BMIfat) by the use of electrical impedance. International Journal of Body Composition Research 2011; 9 (2): 65-72.

Mialich MS, Martinez E Z, Jordao Junior AA. Application of body mass index adjusted for fat mass (BMIfat) obtained by bioelectrical impedance in adults. Nutrición Hospitalaria 2014; 30: 417-424.

Bergman RN, Stefanovski D, Buchanan TA, Sumner AE, Reynolds JC, Sebring NG, Xiang AH, Watanabe RM. A better index of body adiposity. Obesity (Silver Spring) 2011; 19 (5): 1083-9.
DOI: 10.1038/oby.2011.38

Johnson W, Chumlea WC, Czerwinski SA, Demerath EW. Concordance of the recently published body adiposity index with measured body fat percent in European-American adults. Obesity (Silver Spring) 2012; 20(4):900–903.
DOI: 10.1038/oby.2011.346

Heymsfield, S. B. Antropometric measurements: application in hospitalized patients, Infusionstherapie 1990; 17: 48-51.

Lohman T G, Roche AF, Martorell R. Anthropometric Standardization Reference Manual. Champaign, Illinois: Human Kinetics, 1988.

World Health Organization. Obesity: Preventing and Managing the Global Epidemic. Report of a WHO Consultation on Obesity. Geneva, 1998. (WHO technical report series).

Brazilian Institute of Geography and Statistics. 2008-2009 Family Budget Survey: Anthropometry and nutritional status of children, adolescents and adults in Brazil. Rio de Janeiro: Brazilian Institute of Geography and Statistics; 2010.

Romero-Corral A, Somers VK, Sierra-Johnson J, Thomas RJ, Collazo-Clavell ML, Korinek J, Allison TG, Batsis JA, Sert-Kuniyoshi FH, Lopez-Jimenez F. Accuracy of body mass index in diagnosing obesity in the adult general population. International Journal of Obesity 2008; p. 1–8.

Gupta S, Kapoor S. Optimal cut-off values of anthropometric markers to predict hypertension in north Indian population. J Community Health 2012; 37: 441-7.
DOI: 10.1007/s10900-011-9461-8

López AA, Cespedes ML, Vbmiente T, Tomas M, Bennasar-Veny M, Tauler P, Aguilo A. Body Adiposity Index Utilization in a Spanish Mediterranean Population: Comparison with the Body Mass Index. Plos One 2012; 7 (4): 1-7.
DOI: 10.1371/journal.pone.0035281

Zhao D, Li Y, Zheng L, Yu K. Brief Communication: Body mass index, body adiposity index, and percent body fat in Asians. Am J Phys Anthropol 2013; 152:294–299.
DOI: 10.1002/ajpa.22341

Sung YA, Oh JY, Lee H. Comparison of the body adiposity index to body mass index in Korean women. Yonsei Med J 2014; 55 (4): 1028-1035.
DOI: 10.3349/ymj.2014.55.4.1028

Freedman DS, Thornton J, Pi-sunyer FX, Heymsfield SB, Wang Jr PJ, Rbmihard N, Blanck HM, Gallagher D. The body adiposity index (hip circumference ÷ height1.5) is not a more accurate measure of adiposity than is BMI, waist circumference, or hip circumference. Obesity (Silver Spring) 2012; 20(12): 2438-44.
DOI: 10.1038/oby.2012.81

Barreira TV, Harrington DM, Saiano AE, Heymsfield SB, Katzmarzyk PT. Body adiposity index, body mass index, and body fat in white and black adults. JAMA 2011; 24; 306 (8): 828-30.

Schulze MB, Thorand B, Fritsche A, Häring HU, Schick F, Zierer A, Rathmann W, Kröger J, Peters A, Boeing H, Stefan N. Body adiposity index, body fat content and incidence of type 2 diabetes. Diabetologia 2012; 55 (6): 1660-7.
DOI: 10.1007/s00125-012-2499-z

Geliebter A, Atalayer D, Flancbaum L, Gibson CD. Comparison of Body Adiposity Index (BAI) and Body Mass Index (BMI) with Estimations of % Body Fat in Clinically Severe Obese Women. Obesity (Silver Spring) 2013; 21 (3): 493-8.
DOI: 10.1002/oby.20264

Vinknes KJ, Elshorbagy AK, Drevon CA, Gjesdal CG, Tell GS, Nygård O, Vollset SE, Refsum H. Evaluation of the body adiposity index in a Caucasian population: the Hordaland health study. Am J Epidemiol 2013; 177 (6): 586-92.
DOI: 10.1093/aje/kws271

Appelhans BM, Kazlauskaite R, Karavolos K, Janssen I, Kravitz HM, Dugan S, Burns JW, Shipp-Johnson K, Powell LH. How well does the body adiposity index capture adiposity index capture adiposity change in midlife women? The SWAN fat patterning study. Am J Hum Biol 2012; 24 (6): 866-9.
DOI: 10.1002/ajhb.22330

Godoy-Matos A, Moreira RO, Valerio CM, Mory PB, Moises RS. A new method for body fat evaluation, body adiposity index, is useful in women with Familial Partial Lipodystrophy. Obesity (Silver Spring) 2011; 20: 440-443.
DOI: 10.1038/oby.2011.343

Sun G, Cahill F, Gulliver W, Yi Y, Xie Y, Bridger T, et al. Concordance of BAI and BMI with DXA in the Newfoundland population. Obesity (Silver Spring) 2013; 21: 499-503.
DOI: 10.1002/oby.20009

El-Sayed AM, Scarborough P, Galea S. Ethnic inequalities in obesity among children and adults in the UK: a systematic review of the literature. Obes Rev 2011; 12 (5): e516-34.

Kotler DP, Burastero S, Wang J, Pierson RN, Jr. Prediction of body cell mass, fat-free mass, and total body water with bioelectrical impedance analysis: effects of race, sex, and disease. Am J Clin Nutr 64: 489S–497S, 1996.

Antal M, Peter S, Biro L, Nagy K, Regoly-Merei A, et al. Prevalence of underweight, overweight and obesity on the basis of body mass index and body fat percentage in Hungarian schoolchildren: representative survey in metropolitan elementary schools. Ann Nutr Metab 54: 171–176, 2009.

Mialich MS, Martinez EZ, Jordao AA. Comparative study of instruments for the analysis of body composition in a sample of the Brazilian population. International Journal of Body Composition Research 9(1): 19-24, 2011.