Prediction of body fat through body adiposity index and bioelectrical impedance analysis in a sample of physically active Mexican students (Predicción de grasa corporal mediante el índice de adiposidad corporal y análisis de impedancia bioeléctrica en un

Authors

  • Paulina Yesica Ochoa-Martinez Faculty of Sports, Autonomous University of Baja California. Mexico.
  • Javier Arturo Hall-López Faculty of Sports, Autonomous University of Baja California. Mexico.
  • Ileana Solano-Pineda Faculty of Sports, Autonomous University of Baja California. Mexico.
  • Luis Roberto Monreal Ortiz utonomous University of Sinaloa (México),
  • Yamileth Chacón-Araya School of Physical Education and Sports, University of Costa Rica, San José, Costa Rica. Human Movement Sciences Research Center (CIMOHU), University of Costa Rica, Costa Rica.
  • José Moncada-Jiménez School of Physical Education and Sports, University of Costa Rica, San José, Costa Rica. Human Movement Sciences Research Center (CIMOHU), University of Costa Rica, Cost

DOI:

https://doi.org/10.47197/retos.v0i34.55185

Keywords:

Body fat percent, Bioelectrical impedance, Young adults, Physical activity (porcentaje de grasa corporal, análisis de impedancia bioeléctrica, adultos jóvenes, actividad física)

Abstract

Abstract. Objective: To compare the body fat percentage %BF predicted through the body adiposity index (BAI) BAI in a sample of physically active Mexican college students, using bioelectrical impedance analysis (BIA) as reference method. Methods: 78 volunteered university students (20.67 ± 1.69 yrs.) partake in study considered as highly active; the %BF determined by BIA was performed using Inbody 720; BAI was calculated by anthropometric assessment from hip and height measures calculated as follows: BAI=[hip circumference (cm)/height (m)1.5]–18. Pearson’s correlation coefficient was used to evaluate the association between BAI and %BF assessed by BIA. Results: The correlations of % BF between BIA and the estimated by BAI were r = 0.81, p < 0.001 in man and r = 0.69, p < 0.001 in women. Paired t-test in man showed a significant mean difference in %BF between methods (p = 0.001). The bias of the body adiposity was 5.77± 4.2 % (CI95% = 4.40 to 7.14), indicating that the body adiposity index method measured lower %BF than the bioelectrical impedance. Paired t-test in women did not show significant difference (p = 0.355). Lin’s concordance correlation coefficient was considered poor in man (ρc = 0.49) and women (ρc = 0.63), indicating than BAI underestimating %BF in relation to the BIA. Conclusion: In physically active Mexican college students, BAI presented low agreement with %BF measured by BIA; therefore, BAI is not recommended for %BF prediction in this sample studied. 


Resumen. Objetivo: Comparar el porcentaje de grasa corporal % BF predicho por el índice de adiposidad corporal (BAI) y el análisis de impedancia bioeléctrica (BIA) en una muestra de estudiantes universitarios Mexicanos físicamente activos. Método: 78 estudiantes universitarios (Edad media= 20,67±1,69 años) voluntarios considerados físicamente activos mediante el cuestionario (IPAQ) participaron en el estudio; Para determinar el %GC con el método de referencia el AIB se realizó con el equipo Inbody 720; el IAC se determinó mediante valoración antropométrica de las medidas circunferencia de cadera y talla calculándose con la fórmula: IAC (%GC)=[circunferencia de cadera (cm)/talla(m)1,5]-18. Resultados: Las correlaciones de Pearson del %GC entre IAC y las estimada por AIB fue de r=0,81, p<0,001 en hombres y r=0.69, p<0.001 en mujeres. La prueba t-Student en hombres mostró diferencias significativas del %GC entre los métodos (p=0,001). El sesgo del %GC fue 5,77±4,2% (IC95%=4,40-7,14), lo que indica que la media del %GC por IAC fue inferior al AIB. La prueba t-Student en mujeres no mostró diferencias significativas (p=0,355). La concordancia del coeficiente de correlación de Lin se consideró pobre en hombres (ρc=0,49) y mujeres (ρc=0,63), indicando que el IAC subestima él %GC en relación con el AIB. Conclusión: En los estudiantes universitarios mexicanos físicamente activos evaluados, el IAC presentó baja concordancia del %GC medido por AIB; por lo anterior, el IAC no se recomienda para predecir el %GC en esta muestra estudiada.

Author Biographies

Paulina Yesica Ochoa-Martinez , Faculty of Sports, Autonomous University of Baja California. Mexico.

Associated professor at the Faculty of Sports, Autonomous University of Baja California. Mexico. Degree: MSc. in Sports Science, Ph. D. in Sport Medicine; Research interests Gerontology, Human Kinetics E-mail: pochoa@uabc.edu.mx

Javier Arturo Hall-López , Faculty of Sports, Autonomous University of Baja California. Mexico.

Associated professor at the Faculty of Sports, Autonomous University of Baja California. Mexico. Degree: MSc. in Sports Science, Ph. D. in Sport Medicine; Research interests Gerontology, Human Kinetics E-mail: javierhall@uabc.edu.mx

Ileana Solano-Pineda , Faculty of Sports, Autonomous University of Baja California. Mexico.

Water-exercise Instructor at the Aquatic Complex of the Faculty of Sports, Autonomous University of Baja California. Mexico. Degree: Major in Physical Activity and Sport; Research interests Human Kinetics

References

Bergman, R. N., Stefanovski, D., Buchanan, T. A., Sumner, A. E., Reynolds, J. C., Sebring, N. G., . . . Watanabe, R. M. (2011). A better index of body adiposity. Obesity (Silver Spring), 19(5), 1083-1089. doi: 10.1038/oby.2011.38

Bland, J. M., & Altman, D. G. (1986). Statistical methods for assessing agreement between two methods of clinical measurement. Lancet, 8476, 307-310.

Brooks, Y., Black, D. R., Coster, D. C., Blue, C. L., Abood, D. A., Gretebeck, R. J. (2007). Body mass index and percentage body fat as health indicators for young adults. Am J Health Behav, 31(6):687-700.

Carpio-Rivera, E., Hernández-Elizondo, J., Salicetti-Fonseca, A., Solera-Herrera, A., Moncada-Jiménez, J. (2016). Predictive validity of the body adiposity index in Costa Rican students. Am J Hum Biol, 28(3):394-7. doi: 10.1002/ajhb.22800. 26.

Carroll, J. F., Chiapa, A. L., Rodriquez, M., Phelps, D. R., Cardarelli, K. M., Vishwanatha, J. K., . . . Cardarelli, R. (2008). Visceral fat, waist circumference, and BMI: impact of race/ethnicity. Obesity (Silver Spring), 16(3), 600-607. doi: 10.1038/oby.2007.92

Cerqueira, M., Amorim, P., Magalhaes, F., Castro, E., Franco, F., Franceschini, S., . . . Doimo, L. (2013). Validity of body adiposity index in predicting body fat in a sample of Brazilian women. Obesity (Silver Spring), 21(12), E696-699. doi: 10.1002/oby.20543

Chang, H., Simonsick, E. M., Ferrucci, L., & Cooper, J.A. (2013). Validation Study of the Body Adiposity Index as a Predictor of Percent Body Fat in Older Individuals: Findings From the BLSA. J Gerontol A Biol Sci Med Sci, 69(9):1069-75. doi: 10.1093/gerona/glt165. Epub 2013 Oct 24.

Craig, C. L., Marshall, A. L., Sjostrom, M., Bauman, A. E., Booth, M. L., Ainsworth, B. E., . . . Oja, P. (2003). International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc, 35(8), 1381-1395. doi: 10.1249/01.MSS.0000078924.61453.FB

Donnelly, J. E., Blair, S. N., Jakicic, J. M., Manore, M. M., Rankin, J. W., Smith, B. K., & American College of Sports, M. (2009). American College of Sports Medicine Position Stand. Appropriate physical activity intervention strategies for weight loss and prevention of weight regain for adults. Med Sci Sports Exerc, 41(2), 459-471. doi: 10.1249/MSS.0b013e3181949333

Ejtahed, H. S., Asghari, G., Mirmiran, P., Hosseinpour-Niazi, S., Sherafat-KazemZadeh, R., Azizi, F. (2014). Body mass index as a measure of percentage body fat prediction and excess adiposity diagnosis among Iranian adolescents. Arch Iran Med, 17(6):400-5. doi: 014176/AIM.005.

Esco, M. R. (2013). The accuracy of the body adiposity index for predicting body fat percentage in collegiate female athletes. J Strength Cond Res, 27(6), 1679-1683. doi: 10.1519/JSC.0b013e3182712714

Gupta, S., & Kapoor, S. (2014). Body adiposity index: its relevance and validity in assessing body fatness of adults. ISRN Obes, 2014, 243294. doi: 10.1155/2014/243294

Hall López, J. A., Ochoa Martínez, P. Y., Sáenz-López Buñuel, P., Monreal Ortiz, L.R. (2009). [Comparative study of the physical activity level, nutrition state and abdominal obesity in physical education professors from the University Autonomous of Sinaloa and Huelva University]. Retos, 15:5-8.

Hall López, J. A., Ochoa Martínez, P. Y., Alarcón Meza, E. I. (2012). [Physical activity, nutritional state and abdominal obesity in physical culture profesors field]. Rev int med cienc act fís deporte,12:209-220.

Hebden, L., Chey, T., & Allman-Farinelli, M. (2012). Lifestyle intervention for preventing weight gain in young adults: a systematic review and meta-analysis of RCTs. Obes Rev, 13(8), 692-710. doi: 10.1111/j.1467-789X.2012.00990.x

Kanehisa, H., & Fukunaga, T. (2013). Association between body mass index and muscularity in healthy older Japanese women and men. J Physiol Anthropol, 32(1):1-4. doi: 10.1186/1880-6805-32-4.

Lin, L. I. (1989). A concordance correlation coefficient to evaluate reproducibility. Biometrics, 45(1), 255-268.

Lutoslawska, G., Malara, M., Tomaszewski, P., Mazurek, K., Czajkowska, A., Kęska, A., …Tkaczyk, J. (2014). Relationship between the percentage of body fat and surrogate indices of fatness in male and female Polish active and sedentary students. J Physiol Anthropol, 13;33:10. doi: 10.1186/1880-6805-33-10.

Macias, N., Quezada, A. D., Flores, M., Valencia, M. E., Denova-Gutierrez, E., Quiterio-Trenado, M., . . . Salmeron, J. (2014). Accuracy of body fat percent and adiposity indicators cut off values to detect metabolic risk factors in a sample of Mexican adults. BMC Public Health, 14, 341. doi: 10.1186/1471-2458-14-341

Marfell-Jones, M., Olds, T., Stewart, A., & Carter, L. (2006). International standards for anthropometric assessment. Potchefstroom, South Africa: ISAK.

Meckel, Y., Galily, Y., Nemet, D., Eliakim, A. (2011) Changes in weight indexes and aerobic fitness of physical education students over three years of college. J. Hum. Sport Exerc, 6(1)112-21.

McBride, G. B. (2005). Using statistical methods for water quality management: issues, problems and solutions (Vol. 19.) Hoobek, NJ: John Wiley & Sons.

National Institute of Public Health. Mexican National Health and Nutrition ENSANUT 2012: National results in adults. Morelos, México: National Institute of Public Health, 2012. Recent Findings, 2013. Available at: http://ensanut.insp.mx/; accessed on 01.12.2015.

Ode, J. J., Pivarnik, J. M., Reeves, M. J., Knous, J.L. (2007). Body mass index as a predictor of percent fat in college athletes and nonathletes. Med Sci Sports Exerc, 39(3):403-9.

Okorodudu DO, Jumean MF, Montori VM, Romero-Corral A, Somers VK, Erwin PJ, et al. (2010). Diagnostic performance of body mass index to identify obesity as defined by body adiposity: a systematic review and meta-analysis. Int J Obes (Lond), 34(5):791-9. doi: 10.1038/ijo.2010.5.

Práxedes A., Sevil, J., ; Moreno, A., del Villar, F., García-González, L. (2016). Niveles de actividad física en estudiantes universitarios: diferencias en función del género, la edad y los estados de cambio. Revista Iberoamericana de Psicología del Ejercicio y el Deporte, 11(1).

Puri, K. S., Suresh, K. R., Gogtay, N. J., & Thatte, U. M. (2009). Declaration of Helsinki, 2008: implications for stakeholders in research. J Postgrad Med, 55(2), 131-134. doi:10.4103/0022-3859.52846

Sacheck, J. M., Kuder, J. F., & Economos, C. D. (2010). Physical fitness, adiposity, and metabolic risk factors in young college students. Med Sci Sports Exerc, 42(6), 1039-1044. doi: 10.1249/MSS.0b013e3181c9216b

The InBody720 for research grade analysis, The InBody720 for research grade analysis, 2014, Biospace Co. Ltd.: Seoul, Korea.

Ureña Bonilla, P., Blanco Romero., L, & Salas Cabrera, J. Quality of life, anthropometric indicators and body satisfaction in a group of high school students. Retos, 27:62-66, 2015.

Vinknes, K. J., Elshorbagy, A. K., Drevon, C. A., Gjesdal, C. G., Tell, G. S., Nygard, O., . . . Refsum, H. (2013). Evaluation of the body adiposity index in a Caucasian population: the Hordaland health study. Am J Epidemiol, 177(6), 586-592. doi: 10.1093/aje/kws271

Zhang, Z. Q., Liu, Y. H., Xu, Y., Dai, X. W., Ling, W. H., Su, Y. X.,…Chen, Y. M. (2014). The validity of the body adiposity index in predicting percentage body fat and cardiovascular risk factors among Chinese. Clin Endocrinol (Oxf),81(3):356-62. doi: 10.1111/cen.12351.

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Published

2018-07-01

How to Cite

Ochoa-Martinez, P. Y., Hall-López, J. A., Solano-Pineda, I., Monreal Ortiz, L. R., Chacón-Araya, Y., & Moncada-Jiménez, J. (2018). Prediction of body fat through body adiposity index and bioelectrical impedance analysis in a sample of physically active Mexican students (Predicción de grasa corporal mediante el índice de adiposidad corporal y análisis de impedancia bioeléctrica en un. Retos, 34, 128–131. https://doi.org/10.47197/retos.v0i34.55185

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