BMI-BFMNU: A structural index linked to fat mass
DOI:
https://doi.org/10.14306/renhyd.25.1.1161Keywords:
Anthropometry, Body Weights and Measures, Body Mass Index, Adipose Tissue, ObesityAbstract
Introduction: Body mass index (BMI) provides little information on body composition. For example, two people with the same BMI might have different body compositions. In this sense, the development of a new BMI able to provide body composition information is of clinical and scientific interest. The aim of the study was to suggest a new modified BMI formula.
Material and methods: A total of 108 subject, females 56 and males 52, 0-73 years old, in various physiopathological conditions were evaluated. Data were collected and processed by a program that through anthropometric measurements calculates classic BMI, volume, surface, V/S (that we can defined like a body-thickness “pseudospessore”) and the new BMI-BFMNU.
Results: The basic formula (BMI =Body Mass [kg]/Height [m2]) uses the height squared as the value of the body surface, although this is only an approximation of the real surface, whereas using the real surface instead, the new BMI reflects better the ratio between the body volume and its surface. The ratio called "pseudospessore" is already used in literature from the BFMNU (Italian acronym refereed to Biologia e Fisiologia Modellistica della Nutrizione Umana) method and has been shown to be related to the amount of fat.
Conclusions: Using the BMI-BFMNU, it is possible to obtain an indication of the body structure related to the amount of fat. The consequence is that the obtained numerical values do not coincide with the traditional BMI’s values and will refer to different normal ranges. For instance, a person may be in the range of normal weight for both BMI measurements, but only the BMI-BFMNU detects whether a person has a higher or lower fat content considering the individual’s category. This study opens up to new possible future developments on the application of the new BMI that will allow a more accurate assessment and classification of patients.
References
(1) Bogin B, Varela-Silva MI. The body mass index: the good, the bad, and the horrid. Bull Soc Suisse Anthropol. 2012;18(2):5-11.
(2) Nuttall FQ. Body mass index: obesity, BMI, and health: a critical review. Nutr Today. 2015;50(3),117-28.
(3) Adab P, Pallan M, Whincup PH. Is BMI the best measure of obesity? BMJ 2018;360:k1274.
(4) Flegal KM, Graubard BI, Williamson DF, Gail MH. Cause-specific excess deaths associated with underweight, overweight, and obesity. JAMA. 2007;298(17):2028-37.
(5) Flegal KM, Graubard BI, Williamson DF, Gail MH. Excess deaths associated with underweight, overweight, and obesity. JAMA. 2005;293(15):1861-7.
(6) Davey Smith G, Sterne JA, Fraser A, Tynelius P, Lawlor DA, Rasmussen F. The association between BMI and mortality using offspring BMI as an indicator of own BMI: large intergenerational mortality study. BMJ. 2009;339:b5043.
(7) De Lorenzo A, Bianchi A, Maroni P, Iannarelli A, Di Daniele N, Iacopino L, Di Renzo L. Adiposity rather than BMI determines metabolic risk. Int J Cardiol. 2013;166(1):111–7.
(8) Frankenfield DC, Rowe WA, Cooney RN, Smith JS, Becker D. Limits of body mass index to detect obesity and predict body composition. Nutrition. 2001;17(1):26–30.
(9) Ministero della Salute. 2013. Appropriatezza clinica, strutturale e operativa nella prevenzione, diagnosi e terapia dei disturbi dell’alimentazione. [cited 2020 Oct 1]. Available from: http://www.salute.gov.it/imgs/C_17_pubblicazioni_2561_allegato.pdf
(10) Kelly SJ, Lilley JM, Leonardi-Bee J. Associations of morbidity in the underweight. Eur J Clin Nutr. 2010;64:475–82.
(11) Rothman KJ. BMI-related errors in the measurement of obesity. Int J Obes (Lond). 2008;Suppl 3:S56–9.
(12) Goacher PJ, Lambert R, Moffatt PG. Can weight-related health risk be more accurately assessed by BMI, or by gender specific calculations of Percentage Body Fatness? Med Hypotheses. 2016;79(5):656–62.
(13) Chung S. Body mass index and body composition scaling to height in children and adolescent. Ann Pediatr Endocrinol Metab. 2015;20(3):125–9.
(14) Mei Z, Grummer-Strawn LM, Pietrobelli A, Goulding A, Goran MI, Dietz WH. Validity of body mass index compared with other body-composition screening indexes for the assessment of body fatness in children and adolescents. Am J Clin Nutr. 2002;75(6):978–85.
(15) Heymsfield SB, Heo M, Thomas D, Pietrobelli A. Scaling of body composition to height: Relevance to height-normalized indexes. Am J Clin Nutr. 2011;93(4):736–40.
(16) Gallagher D, Visser M, Sepúlveda D, Pierson RN, Harris T, Heymsfield SB. How useful is body mass index for comparison of body fatness across age, sex, and ethnic groups? Am J Epidemiol. 1996;143(3):228–39.
(17) Garrow J, Webster J. Quetelet’s index (W/H2) as a measure of fatness. Int J Obes.1985;9(2):147-53.
(18) Burton RF. Why is the body mass index calculated as mass/height2, not as mass/height3? Ann Hum Biol. 2007;34(6):656-63.
(19) Centers for Disease Control and Prevention. Body mass index: Considerations for practitioners. [cited 2020 Oct 1]. Available from: https://www.cdc.gov/obesity/downloads/bmiforpactitioners.pdf
(20) Olearo B, Soriano del Castillo JM, Boselli PM, Micó Pascual L. Assessment of body composition, through anthropometric and non-anthropometric methods, of university students from Valencia (Spain). Nutr Hosp. 2014;30(4):911–8.
(21) Boselli PM. Fenomenologia della nutrizione. Milan; Raffaello Cortina Editore; 2011.
(22) Boselli PM. El método BFMNU: Interpretación modelo fenomenológica de la nutrición. Valencia; Ediciones Mónsul, 2020.
(23) Barlow SE, Expert Committee. Expert committee recommendations regarding the prevention, assessment, and treatment of child and adolescent overweight and obesity: summary report. Pediatrics. 2007;120(Suppl 4):S164-92.
(24) Daniels SR. The use of BMI in the clinical setting. Pediatrics. 2009;124(Suppl 1):S35–41.
(25) Prentice AM, Jebb SA. Beyond body mass index. Obes Rev. 2001;2:141–7.
(26) Jackson AS, Stanforth PR, Gagnon J, Rankinen T, Leon AS, Rao DC, Skinner JS, Bouchard C, Wilmore JH. The effect of sex, age and race on estimating percentage body fat from body mass index: The Heritage Family Study. Int J Obes Relat Metab Disord. 2002;26:789–96.
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