Percentiles de grasa corporal por bioimpedancia eléctrica en niños y adolescentes de Bogotá, Colombia: Estudio FUPRECOL


Autoria(s): Escobar-Cardozo, Germán-David
Contribuinte(s)

Ramírez-Vélez, Robinson

Correa Bautista, Jorge Enrique

Data(s)

21/08/2015

Resumo

Objetivo: Recientemente, se han propuesto varios dispositivos de impedancia bioeléctrica (BIA) para la estimación rápida de la grasa corporal. Sin embargo, no han sido publicadas referencias de grasa corporal para niños y adolescentes en población Colombiana. El objetivo de este estudio fue establecer percentiles de grasa corporal por BIA en niños y adolescentes de Bogotá, Colombia de entre 9 y 17.9 años, pertenecientes al estudio FUPRECOL. Métodos: Estudio descriptivo y transversal, realizado en 2.526 niños y 3.324 adolescentes de entre 9 y 17.9 años de edad, pertenecientes a instituciones educativas oficiales de Bogotá, Colombia. El porcentaje de grasa corporal fue medido con Tanita® Analizador de Composición Corporal (Modelo BF-689), según edad y sexo. Se tomaron medidas de peso, talla, circunferencia de cintura, circunferencia de cadera y estado de maduración sexual por auto-reporte. Se calcularon los percentiles (P3, P10, P25, P50, P75, P90 y P97) y curvas centiles por el método LMS según sexo y edad y se realizó una comparación entre los valores de la CC observados con estándares internacionales. Resultados: Se presentan valores de porcentaje de grasa corporal y las curvas de percentiles. En la mayoría de los grupos etáreos la grasa corporal de las chicas fue mayor a la de los chicos. Sujetos cuyo porcentaje de grasa corporal estaba por encima del percentil 90 de la distribución estándar normal se consideró que tenían un elevado riesgo cardiovascular (chicos desde 23,4-28,3 y chicas desde 31,0-34,1). En general, nuestros porcentajes de grasa corporal fueron inferiores a los valores de Turquía, Alemania, Grecia, España y Reino Unido. Conclusiones: Se presentan percentiles del porcentaje de grasa por BIA según edad y sexo que podrán ser usados de referencia en la evaluación del estado nutricional y en la predicción del riesgo cardiovascular desde edades tempranas.

Objective: Recently, various devices have been proposed bioelectrical impedance (BIA) for the rapid estimation of body fat. However, no references have been published body fat for children and adolescents in Colombian population. The aim of this study was to establish percentiles of body fat by BIA in children and adolescents from Bogotá, Colombia from 9 to 17.9 years, belonging to FUPRECOL study. Methods: A descriptive cross-sectional study conducted in 2,526 children and 3,324 adolescents between 9 and 17.9 years of age, belonging to official educational institutions in Bogotá, Colombia. The percentage of body fat was measured Tanita® Body Composition Analyzer (Model BF-689), by age and sex. Measures of weight, height, waist circumference, hip circumference and sexual maturation status of self-report were taken. percentiles (P3, P10, P25, P50, P75, P90 and P97) and centiles for the LMS method curves were calculated by sex and age and comparing the observed values ​​of CC was performed with international standards. Results: values ​​of body fat percentage and percentile curves are presented. In most age groups the body fat of the girls was higher than boys. Subjects whose body fat percentage was above the 90th percentile of the standard normal distribution were considered to have a high cardiovascular risk (boys and girls from 23.4 to 28.3 from 31.0 to 34.1). In general, our body fat percentages were lower than the values ​​of Turkey, Germany, Greece, Spain and the UK. Conclusions: the percentage of fat percentiles are presented by age and sex BIA that reference may be used in assessing the nutritional status and cardiovascular risk prediction from an early age

Formato

application/pdf

Identificador

http://repository.urosario.edu.co/handle/10336/11870

Idioma(s)

spa

Publicador

Facultad de medicina

Direitos

info:eu-repo/semantics/openAccess

Fonte

instname:Universidad del Rosario

reponame:Repositorio Institucional EdocUR

Lob-Corzilius T. Overweight and obesity in childhood - A special challenge for public health. Int J Hyg Envir Heal. 2007;210:585-9.

Amigo H. Obesidad en el niño en América Latina: situación, criterios de diagnóstico y desafíos. Cad. Saúde Pública. 2003;19(Suppl 1):S163-S170.

Instituto Colombiano de Bienestar Familiar. Encuesta de Situación Nutricional en Colombia 2010 ENSIN [Internet]. 2010 [citado 2015 abril 23]. Disponible en: http://goo.gl/aZjTXI

González S, Sarmiento O, Cohen D, Camargo D, Correa-Bautista J, Páez C, Ramírez-Vélez R. Results From Colombia’s 2014 Report Card on Physical Activity for Children and Youth. J Phys Act Health. 2014;11(Supp 1):S33-S44.

Ramírez-Vélez R, González Ruíz K, Correa-Bautista JE, Meneses-Echávez JF, Martínez-Torres J. Demographic and socioeconomic differences in consumption of sugarsweetened beverages among colombian children and adolescents. Nutr Hosp. 2015;31(6):2479-86.

Bejarano-Roncancio JJ, Parra DP. El TLC con USA: ¿una nueva transición nutricional? ¿Cómo influirá en el peso de los colombianos?. Rev Fac Med. 2014;62 (Supl 1):S7-8.

Popkin BM. Global nutrition dynamics: the world is shifting rapidly toward a diet linked with noncommunicable diseases. Am J Clin Nutr. 2006;84:289-98.

World Health Organization (WHO) (1995). Physical Status: The Use and Interpretation of Anthropometry. Report of a WHO Expert Committee. Geneva: WHO Report Series 854. p. 2 – 3.

González-Ruíz K, Correa-Bautista JE, Ramírez-Vélez R. Evaluación del índice de adiposidad corporal en la predicción del porcentaje de grasa en adultos de Bogotá, Colombia. Nutr Hosp. 2015;32(1):55-60.

Herouvi D, Karanasios E, Karayianni C, Karavanaki K. Cardiovascular disease in childhood: the role of obesity. Eur J Pediatr. 2013;172(6):721-32.

Sanchez J, Baron A, Adela M. Uso de la bioimpedancia eléctrica para la estimación de la composición corporal en niños y adolescentes. An Venez Nutr. 2009;22(2):105-110.

Alvero-Cruz JR, Correas-Gómez L, Ronconi M, Fernández-Vázquez M, Porta-Manzañido J. La bioimpedancia eléctrica como método de estimación de la composición corporal, normas prácticas de utilización. Rev Andal Med Deporte. 2011;4(4):167-174.

Kother DP, Burastero S, Wang J, Pierson Jr RN. 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. 1996;64:489Se97S.

Harsha DW, Bray GA. Body composition and childhood obesity. Endocrinol Metab Clin North Am. 1996;25(4):871-85

Sabageh AO, Ojofeitimi EO. Prevalence of obesity among adolescents in Ile-Ife, Osun state, Nigeria using body mass index and waist hip ratio: A comparative study. Niger Med J. 2013;54(3):153-156.

Aguilar de Plata AC, Pradilla A, Mosquera M, Gracia de Ramírez AB, Ortega JG, Ramírez-Vélez R. Centile values for anthropometric variables in Colombian adolescents. Endocrinol Nutr. 2011;58(1):16-23.

González Jiménez E, Aguilar Cordero MJ, García García CJ, García López PA, Alvarez Ferre J, Padilla López CA. Prevalencia de sobrepeso y obesidad nutricional e hipertension arterial y su relación con indicadores antropométricos en una población de escolares de Granada y su provincia. Nutr Hosp. 2011;26(5):1004-1010.

Ramírez-Vélez R, Suaréz-Ortegón MF, Aguilar de Plata AC. Association between adiposity and cardiovascular risk factors in prepubertal children. Endocrinol Nutr. 2011;58(9):457-63.

Deurenberg P, Andreoli A, Borg P, Kukkonen-Harjula K, De Lorenzo A, van Marken Lichtenbelt WD, et al. The validity of predicted body fat percentage from body mass index and from impedance in samples of five European populations. Eur J Clin Nutr. 2001;55:973-9.

Schlesselmann JJ. Case-control studies: design, conduct, analysis. New York: Oxford University Press; 1982.

Aristizábal JC, Restrepo MT, Estrada A. Body composition assessment by anthropometry and bioelectrical impedance. Biomedica. 2007;27(2):216-24

Ruiz JR, España V, Castro J, Artero EG, Ortega FB, Cuenca M et al. ALPHA-fitness test battery: health-related field-based fitness tests assessment in children and adolescents. Nutr Hosp. 2011;26(6):1210-1214.

Sun SS, Chumlea WC, Heymsfield SB, Lukaski HC, Schoeller DK, Fried RJ, et al. Development of bioelectrical impedance analysis prediction equations for body composition with the use of a multicomponent model for use in epidemiologic surveys. Am J Clin Nutr. 2003; 77(2): 331-340.

Tanner JM. Growth at adolescence. 2nd ed. London: Oxford: Blackwell Scientific Publication; 1962.

Matsudo SMM, Matsudo VKR. Self-assessment and physician assessment of sexual maturation in Brazilian boys and girls-concordance and reproducibility. Am J Hum Biol. 1994;6(4):451-455.

Weiner JS, Lourie JA. Practical human biology. 1 ed Londres:Academic Press; 1981, p.33-7.

Cole T, Green P. Smoothing reference centile curves: the LMS method and penalized likelihood. Statistics in Medicine, Chichester. 1992; 11: 1306-1319.

Pan H, Cole T. LmsChartMaker Pro version 2.54, compiled on 21 July 2011. A program for calculating age-related reference centiles using the LMS method. Copyright ©1997-2011, Medical Research Council, UK.

Pan H, Cole T. A comparison of goodness of fit tests for age-related reference ranges. Statistics in Medicine, Chichester. 2004;23:1749-1765.

Royston P, Wright E. Goodness-of-fit statistics for age-specific reference intervals. Stat Med. 2000;9:2943-2962.

Vann Buuren S, Fredriks A. Worm plot: A simple diagnostic device for modeling growth reference curves. Stat Med. 2001; 20(8):1259-1277.

Sung RY, So HK, Choi KC, Li AM, Yin J, Nelson EA. Body fat measured by bioelectrical impedance in Hong Kong Chinese children. Hong Kong Med J. 2009; 15:110–117.

Sung R, Lau P, Yu C, Lam P, Nelson E. Measurement of body fat using leg to leg bioimpedance. Arch Dis Child. 2001;85(3):263-267.

Kurtoglu S, Mazicioglu MM, Ozturk A, Hatipoglu N, Cicek B, Ustunbas HB. Body fat reference curves for healthy Turkish children and adolescents. Eur J Pediatr. 2010;169(11):1329-35.

Plachta-Danielzik S, Gehrke MI, Kehden B, Kromeyer-Hauschild K, Grillenberger M, Willhöft C, Bosy-Westphal A, Müller MJ. Body fat percentiles for German children and adolescents. Obes Facts. 2012;5(1):77-90.

Papandreou D, Malindretos P, Rousso I. First body fat percentiles for 607 children from Thessaloniki-Northern Greece. Hippokratia. 2010;14(3):208-11.

Moreno LA, Mesana MI, González-Gross M, Gil CM, Ortega FB, Fleta J, Wärnberg J, León J, Marcos A, Bueno M.Body fat distribution reference standards in Spanish adolescents: the AVENA Study. Int J Obes (Lond). 2007;31(12):1798-805.

Mueller WH, Harrist RB, Doyle SR, Labarthe DR. Percentiles of body composition from bioelectrical impedance and body measurements in U.S. adolescents 8-17 years old: Project HeartBeat! Am J Hum Biol. 2004;16(2):135-50.

McCarthy HD, Cole TJ, Fry T, Jebb SA, Prenticel AM. Body fat reference curves for children. Int J Obes. 2006;30:598–602.

Benjumea MV, Molina DI, Arbeláez PE, Agudelo LM. Waist circumference in children aged 1 to 16 years from Manizales. Rev Colomb Cardiol. 2008;15:23-34.

González-Jiménez E. Evaluación de una intervención educativa sobre nutrición y actividad física en ninos y adolescentes escolares con sobrepeso y obesidad de Granada y provincia. [Tesis Doctoral]. Universidad de Granada. 2010.

González Jiménez E. Body composition: assessment and clinical value. Endocrinol Nutr. 2013; 60(2):69-75.

Chumlea W, Guo S, Kuczmarski R, Flegal K, Johnson C, Heymsfield S, Lukaski H, Friedl K, Hubbard V. Body composition estimates from NHANES III bioelectrical impedance data. Inter J Obes. 2002; 26:1596-1609.

Morrison J, Barton B, Obarzanek E, Crawford P, Guo S, Schreiber G. Racial differences in the sums of skinfolds and percentage of body fat estimated from impedance in black and white girls, 9 to 19 years of age: the national heart, lung, and blood institute growth and health study. Obes Res. 2001; 9:297-305.

Fagundes U, Kopelman B, García C, Baruzzi R, Fagundes Neto U. Nutritional status and body composition of two South American native populations-Alto Xingu and Ikpeng. J Pediatr. 2004; 80(6):483-489.

Malina R, Bouchard C. Growth, Maturation and Physical Activity. Human Kinetics Books, Champaign, Illinois, USA, 1991.

Deurenberg P, Andreoli A, Borg P, Kukkonen-Harjula K, De Lorenzo A, van Marken Lichtenbelt WD, et al. The validity of predicted body fat 22 percentage from body mass index and from impedance in samples of five European populations. Eur J Clin Nutr. 2001;55:973-9.

Dittmar M. Comparison of bipolar and tetrapolar impedance techniques for assessing fat mass. Am J Hum Biol. 2004;16:593-7.

Kother DP, Burastero S, Wang J, Pierson Jr RN. 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. 1996;64:489S-97S.

Gartner A, Dioum A, Delpeuch F, Maire B, Schutz Y. Use of hand-to-hand impedancemetry to predict body composition of African women as measured by air displacement plethysmography. Eur J Clin Nutr. 2004;58:523-31.

TMAS

Palavras-Chave #Alimentación -- Niños #612.3 #Valores de referencia #Composición corporal #Obesidad #Anomalías Cardiovasculares #Reference values #Pediatrics #Body composition #Fat percentage #Cardiovascular risk
Tipo

info:eu-repo/semantics/masterThesis

info:eu-repo/semantics/acceptedVersion