Applicability of anthropometric indices to assess body adiposity in young students of biomedical sciences
Índices antropométricos y adiposidad corporal en universitarios
DOI:
https://doi.org/10.12873/413berroaKeywords:
Body adiposity, anthropometry, University studentsAbstract
Introduction: Body fat distribution has been significantly associated as a predictor of cardiovascular disease risk factor. The objectives of the study were to verify the applicability of anthropometric indices (BMI and PI) to assess body adiposity in young university students.
Methods: A descriptive (correlational) study was carried out in young university students. We investigated 201 young people of both sexes (59 men and 151 women) with an age range of 18 to 25 years from a national university in Arequipa. Weight, height and four skinfolds (bicipital, tricipital, subscapular and supra iliac) were evaluated. Body mass index (BMI) and weight index (PI) were calculated.
Results: The relationships between anthropometric indices and the sum of 4 skinfolds were significant in both sexes. In men, the relationship between the sum of skinfolds with BMI was R2= 75% and with PI was R2= 73%. In women, the ratio of skinfold summation to BMI was R2= 63% and to PI was R2= 57%. There were significant differences between the three categories (high, medium and low), both for BMI and PI and in both sexes (p<0.05).
Conclusion: There was a significant relationship between anthropometric indices and the sum of skinfolds in both sexes. These findings suggest that both BMI and PI could be important indices to assess body adiposity in university students.
References
Ahn Y, Cho S, Sohn M. Adiposity of Korean School-Age Children Measured by National and International Growth Charts. Res Nurs Health. 2013;36:16–25
Ho SY, Lam TH, Janus ED; Hong Kong Cardiovascular Risk Factor Prevalence Study Steering Committee. Waist to stature ratio is more strongly associated with cardiovascular risk factors than other simple anthropometric indices. Ann Epidemiol. 2003;13(10):683-91
Seidell JC, Hautvast JG, Deurenberg P. Overweight: Fat distribution and health risks. Epidemiological observations. A review. Infus. Basel Switz. 1989; 16(276): 2-81.
Amirabdollahian F, Haghighatdoost F. Anthropometric Indicators of Adiposity Related to Body Weight and Body Shape as Cardiometabolic Risk Predictors in British Young Adults: Superiority of Waist-to-Height Ratio. J Obes. 2018; 8370304.
Wells JC, Fewtrell MS. Measuring body composition. Arch Dis Child. 2006;91(7):612-7.
Bennasar-Veny M, Lopez-Gonzalez A, Tauler P, Cespedes L, Vicente-Herrero T, Yañez A, Tomas-Salva M, Aguilo A. Body Adiposity Index and Cardiovascular Health Risk Factors in Caucasians: A Comparison with the Body Mass Index and Others. PLoS ONE. 2013;8(5):e63999.
Alvear F, Gomez-Campos R, Urra-Albornoz C, Pacheco-Carrillo J, Cossio-Bolaños MA. Predictores de los Indicadores de adiposidad corporal por edad cronológica y biológica en niños y adolescentes que residen en el sur de Chile. Rev Esp Nutr Hum Diet. 2017;21(4):360 – 368.
Cossio Bolaños MA, Pablos-Abella C, Arruda M. Valoración de la adiposidad corporal de escolares en Arequipa, Perú. Rev. Peru. med. exp. salud pública. 2012;29(4):477-482.
Gropper SS, Simmons KP, Connell LJ, Ulrich PV. Weight and Body Composition Changes during the First Three Years of College. J Obes. 2012; 2012:634048.
Vilchez-Avaca C, Silva Cancino C, Contreras Muñoz AM, García Montecinos M, Rojas Jorquera O, Gómez-Campos R, Cossio-Bolaños M. Evaluación de la adiposidad corporal según índice de masa corporal y circunferencia de cintura en jóvenes universitarios. Ciencia y Enfermería. 2017;23 (2):13-20.
Beaudry KM, Ludwa IA, Thomas AM, Ward WE, Falk B, Josse AR. First-year university is associated with greater body weight, body composition and adverse dietary changes in males than females. PLoS One. 2019;3:e0218554.
Church TS, Thomas DM, Tudor-Locke C, Katzmarzyk PT, Earnest CP, Rodarte RQ, et al. Trends over 5 decades in U.S. occupation-related physical activity and their associations with obesity. PLoS ONE. 2011; 6(5): e19657
Álvarez-Dongo D, Sánchez-Abanto J, Gómez-Guizado G, Tarqui-Mamani C. Sobrepeso y obesidad: prevalencia y determinantes sociales del exceso de peso en la población peruana (2009-2010). Revista Peruana de Medicina Experimental y Salud Pública. 2012; 29: 303-313.
Tarqui-Mamani C, Sánchez-Abanto J, Alvarez-Dongo D, Gómez-Guizado G, Valdivia-Zapana S. Tendencia del sobrepeso, obesidad y exceso de peso en el Perú. Revista peruana de Epidemiología. 2013; 17(3): 1-7.
Navarrete Mejía PJ, Velasco Guerrero JC, Loayza Alarico MJ, Huatuco Collantes ZA. Indicadores antropométricos en dos escuelas públicas de zona rural y citadina en el Perú: 2014. Horizonte Médico (Lima). 2015;15(4): 6-10.
Marfell-Jones M. Kinanthropometric assessment. Guidelines for athlete assessment in New Zealand sport. Sport Science New Zealand, Wellington, New Zeeland, 1991;22.
Quadros TMB, da Silva RCR, Pires CS, Gordia AP, Campos W. Predicao do Indice de massa corporal em criancas atraves das dobras cutaneas. Rev Bras Cineantropom Desempenho Hum. 2008;10(3): 243-8.
Cossio-Bolaños MA, de Marco A, de Marco M, Arruda M. Los pliegues cutáneos como predictores del IMC en pre-púberes de ambos sexos. Actual Nutr. 2011; 12(4): 295-301.
Ramírez-Vélez R, Correa-Bautista JE, Carrillo HA, González-Jiménez E, Schmidt-RioValle J, Correa-Rodríguez M, García-Hermoso A, González-Ruíz K. Tri-Ponderal Mass Index vs. Fat Mass/Height³ as a Screening Tool for Metabolic Syndrome Prediction in Colombian Children and Young People. Nutrients. 2018;10(4):412.
Shim, Y.S. The Relationship Between Tri-ponderal Mass Index and Metabolic Syndrome and Its Components in Youth Aged 10–20 Years. Sci Rep. 2019;9:14462.
Lehingue Y, Remontet L, Munoz F, Mamelle N. Birth ponderal index and body mass index reference curves in a large population. Am J Hum Biol. 1998;10:327-40.
Cossio-Bolaños M, Vidal R, Sulla Torres J, Gatica Mandiola P, Castelli Correia de Campos LF, Cossio Bolaños W, Urra Albornoz C, Gómez Campos R. Índice de masa corporal versus Índice ponderal para evaluar el estado nutricional de adolescentes de altitud moderada del Perú. Nutr Clín Diet Hosp. 2020; 40(3):92-98
Peterson CM, Su H, Thomas DM, Heo M, Golnabi AH, Pietrobelli A, Heymsfield SB. Tri-Ponderal Mass Index vs Body Mass Index in Estimating Body Fat During Adolescence. JAMA Pediatr. 2017;171(7):629-636.
Van Haute, M., Rondilla, E., Vitug, J.L. et al. Assessment of a proposed BMI formula in predicting body fat percentage among Filipino young adults. Sci Rep. 2020;10:21988.
Shah NR, Braverman ER. Measuring adiposity in patients: the utility of body mass index (BMI), percent body fat, and leptin. PLoS One. 2012;7(4):e33308.
Carrascosa A, Yeste D, Moreno-Galdó A, et al. Índice de masa corporal e índice de masa triponderal de 1.453 niños no obesos ni malnutridos de la generación del milenio. Estudio longitudinal de Barcelona An Pediatr (Barc). 2018;89(3):137-143.
De Lorenzo A, Romano L, Di Renzo L, et al. Triponderal mass index rather than body mass index: An indicator of high adiposity in Italian children and adolescents. Nutrition. 2019;60:41-47.
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