Efficiency of anthropometric indicators in diagnosis of children abdominal obesity
DOI:
https://doi.org/10.29105/respyn22.1-710Keywords:
Pediatric Obesity, waist to height index, waist circumference, Body mass indexAbstract
Introduction: Abdominal obesity, determined by excess in Visceral Adipose Tissue (VAT), increases the risk of metabolic syndrome. The most common method to evaluate childhood obesity is body mass index (BMI), but recently studies also suggest the use of waist circumference (WC) and waist to height ratio (WHR). Objective: Evaluate the efficiency of anthropometric indicators in VAT prediction and classify overweight-obesity (OW/OB). Material and method: Cross-sectional, analytical and comparative study. 59 children (47.5% girls) of 10.6 ± 2.1 years of age in public schools of Hermosillo, Sonora, Mexico were evaluated; anthropometric variables were examined, estimating BMI and WHR, VAT was determined by Dual Energy X-ray Absorptiometry (DEXA); multiple linear regression, Bland Altman's concordance and Cohen's Kappa index were analysed. Results: The most efficient model to predict VAT was the WC (R2=0.90). The anthropometric indicators reported good concordance with each other in the diagnosis of OW/OB (Kappa ≥ 0.6), although the Bland Altman analysis only reported good agreement between WC-TAV and WHR-TAV. Conclusions: WC and WHR were better predictors of VAT. Results suggest that WC and WHR can be used to assess abdominal obesity and diagnose OW/OB in Mexican children.
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Aristazábal, J.-C., Estrada-Restrepo, A., & Barona, J. (2019). Waist-to-height ratio may be an alternative tool to the body mass index for identifying Colombian adolescents with cardiometabolic risk factors. Nutricion Hospitalaria, 36(1), 96–102. https://doi.org/https://doi.org/10.20960/nh.1909 Available DOI: https://doi.org/10.20960/nh.1909
Blössner, M., Siyam, A., Borghi, E., Onyango, A., & De Onis, M. (2009). WHO AnthroPlus for personal computers manual: software for assessing growth of the world’s children and adolescents. World Health Organization: Geneva, Switzerland.
Bredella, M. A., Gill, C. M., Keating, L. K., Torriani, M., Anderson, E. J., Punyanitya, M., Wilson, K. E., Kelly, T. L., & Miller, K. K. (2013). Assessment of abdominal fat compartments using DXA in premenopausal women from anorexia nervosa to morbid obesity. Obesity, 21(12), 2458–2464. https://doi.org/10.1002/oby.20424 DOI: https://doi.org/10.1002/oby.20424
Bristol (Reino Unido): Development Initiatives. (2021). El estado de la nutrición en el mundo. In Informe de la Nutrición Mundial 2021.
https://globalnutritionreport.org/reports/2021-global-nutrition-report/executive-summary/
Brown, T., Moore, T. H., Hooper, L., Gao, Y., Zayegh, A., Ijaz, S., Elwenspoek, M., Foxen, S. C., Magee, L., O’Malley, C., Waters, E., & Summerbell, C. D. (2019). Interventions for preventing obesity in children. Cochrane Database of Systematic Reviews, 7. https://doi.org/10.1002/14651858.CD001871.pub4 DOI: https://doi.org/10.1002/14651858.CD001871.pub4
CONAPO. (2018). Consejo Nacional de Población. www.conapo.gob.mx/es/CONAPO/Datos_Abiertos_del_%0AIndice_de_Marginacion
Després, J. P., & Lemieux, I. (2006). Abdominal obesity and metabolic syndrome. Nature, 444(7121), 881–887. https://doi.org/10.1038/nature05488 DOI: https://doi.org/10.1038/nature05488
ENSANUT. (2019). Encuesta Nacional de Salud y Nutrición 2018.
Faienza, M. F., Chiarito, M., Molina-Molina, E., Shanmugam, H., Lammert, F., Krawczyk, M., D’Amato, G., & Portincasa, P. (2020). Childhood obesity, cardiovascular and liver health: a growing epidemic with age. World Journal of Pediatrics, 16(5), 438–445. https://doi.org/10.1007/s12519-020-00341-9 DOI: https://doi.org/10.1007/s12519-020-00341-9
Fryar, C. D., Kruszon-Moran, D., Gu, Q., Carroll, M., & Ogden, C. L. (2021). Mean body weight, height, waist circumference, and body mass index among children and adolescents: United states, 1999–2018. National Health Statistics Reports, 2021(160), 1–23. https://doi.org/10.15620/cdc:107559 DOI: https://doi.org/10.15620/cdc:107559
Garrido-Miguel, M., Cavero-Redondo, I., Álvarez-Bueno, C., Rodríguez-Artalejo, F., Moreno, L. A., Ruiz, J. R., Ahrens, W., & Martínez-Vizcaíno, V. (2019). Prevalence and Trends of Overweight and Obesity in European Children from 1999 to 2016: A Systematic Review and Meta-analysis. JAMA Pediatrics, 173(10). https://doi.org/10.1001/jamapediatrics.2019.2430 DOI: https://doi.org/10.1001/jamapediatrics.2019.2430
Goldberg, E. K., & Fung, E. B. (2020). Precision of the hologic DXA in the assessment of visceral adipose tissue. Journal of Clinical Densitometry, 23(4), 664–672. DOI: https://doi.org/10.1016/j.jocd.2019.03.005
Hall López, J. A., Ochoa Martínez, P. Y., Borbón Román, J. C., & Monreal Ortíz, L. R. (2013). Prevalencia de porcentaje de grasa corporal, obesidad abdominal y estado nutricial en una escuela primaria de Mexicali Baja California México. International Journal of Morphology, 31(4), 1269–1275.
https://doi.org/10.4067/S0717-95022013000400020 DOI: https://doi.org/10.4067/S0717-95022013000400020
Haththotuwa, R. N., Wijeyaratne, C. N., & Senarath, U. (2020). Worldwide epidemic of obesity. In T. A. Mahmood, S. Arulkumaran, & F. A. B. T.-O. and O. (Second E. Chervenak (Eds.), Obesity and Obstetrics (pp. 3–8). Elsevier. https://doi.org/10.1016/B978-0-12-817921-5.00001-1 DOI: https://doi.org/10.1016/B978-0-12-817921-5.00001-1
Higgins, P. B., & Comuzzie, A. G. (2012). Measures of Waist Circumference BT - Handbook of Anthropometry: Physical Measures of Human Form in Health and Disease (V. R. Preedy (ed.); pp. 881–891). Springer New York. https://doi.org/10.1007/978-1-4419-1788-1_51 DOI: https://doi.org/10.1007/978-1-4419-1788-1_51
INEGI. (2013). Censo de Escuelas, Maestros y Alumnos de Educación Básica y Especial. https://www.inegi.org.mx/sistemas/mapa/atlas/
INEGI. (2018). Mapa interactivo de Áreas Geoestadísticas Básicas (AGEB).
https://www.inegi.org.mx/app/areasgeograficas/?ag=26
Kelishadi, R., Mirmoghtadaee, P., Najafi, H., & Keikha, M. (2015). Systematic review on the association of abdominal obesity in children and adolescents with cardio-metabolic risk factors. Journal of Research in Medical Sciences, 20(3), 294–307.
López-Alonzo, S. J., Gastélum Cuadras, G., Islas Guerra, S. A., Chávez Erives, A. I., & Orona Escápite, A. (2021). Relación entre actividad física y obesidad en escolares de primaria del norte de México. Revista Iberoamericana de Ciencias de La Actividad Física y El Deporte, 10(1), 15–25.
https://doi.org/10.24310/riccafd.2021.v10i1.10650 DOI: https://doi.org/10.24310/riccafd.2021.v10i1.10650
López-González, D., Miranda-Lora, A., Klünder-Klünder, M., Queipo-García, G., Bustos-Esquivel, M., Paez-Villa, M., Villanueva-Ortega, E., Chávez-Requena, I., Laresgoiti-Servitje, E., & Garibay-Nieto, N. (2016). Diagnostic Performance of Waist Circumference Measurements for Predicting Cardiometabolic Risk in Mexican Children. Endocrine Practice , 22(10), 1170–1176. https://doi.org/10.4158/EP161291.OR DOI: https://doi.org/10.4158/EP161291.OR
Martınez-González, M. A., Sánchez-Villegas, A., & Faulin, J. (2006). Bioestadıstica amigable. Editorial Dıaz de Santos, Madrid, Spain.
Nagy, P., Kovacs, E., Moreno, L. A., Veidebaum, T., Tornaritis, M., Kourides, Y., Siani, A., Lauria, F., Sioen, I., Claessens, M., Mårild, S., Lissner, L., Bammann, K., Intemann, T., Buck, C., Pigeot, I., Ahrens, W., & Molnár, D. (2014). Percentile reference values for anthropometric body composition indices in European children from the IDEFICS study. International Journal of Obesity, 38, S15–S25. https://doi.org/10.1038/ijo.2014.131 DOI: https://doi.org/10.1038/ijo.2014.131
Noubiap, J. J., Nansseu, J. R., Lontchi-Yimagou, E., Nkeck, J. R., Nyaga, U. F., Ngouo, A. T., Tounouga, D. N., Tianyi, F. L., Foka, A. J., Ndoadoumgue, A. L., & Bigna, J. J. (2022). Global, regional, and country estimates of metabolic syndrome burden in children and adolescents in 2020: a systematic review and modelling analysis. The Lancet Child & Adolescent Health, 6(3), 158–170.
https://doi.org/https://doi.org/10.1016/S2352-4642(21)00374-6 DOI: https://doi.org/10.1016/S2352-4642(21)00374-6
Onis, M. de, Onyango, A. W., Borghi, E., Siyam, A., Nishida, C., & Siekmann, J. (2007). Development of a WHO growth reference for school-aged children and adolescents. Bulletin of the World Health Organization, 85, 660–667. DOI: https://doi.org/10.2471/BLT.07.043497
Ostchega, Y., Seu, R., Sarafrazi, I. N., Zhang, G., Hughes, J., & Miller, I. (2019). Waist circumference measurement methodology study : National Health and Nutrition examination survey , 2016 data evaluation and methods research. National Center for Health Statistics, 2(182), 1–20.
https://lccn.loc.gov/2018054057
Ross, R., Neeland, I. J., Yamashita, S., Shai, I., Seidell, J., Magni, P., Santos, R. D., Arsenault, B., Cuevas, A., Hu, F. B., Griffin, B. A., Zambon, A., Barter, P., Fruchart, J. C., Eckel, R. H., Matsuzawa, Y., & Després, J. P. (2020). Waist circumference as a vital sign in clinical practice: a Consensus Statement from the IAS and ICCR Working Group on Visceral Obesity. Nature Reviews Endocrinology, 16(3), 177–189. https://doi.org/10.1038/s41574-019-0310-7 DOI: https://doi.org/10.1038/s41574-019-0310-7
Ruiz De Eguilaz, M. H., Martínez De Morentín, B., Pérez-Diez, S., Navas-Carretero, S., & Martínez, J. A. (2010). Estudio comparativo de medidas de composición corporal por absorciometría dual de rayos X, bioimpedancia y pliegues cutańeos en mujeres. Anales de La Real Academia Nacional de Farmacia, 76(2), 209–222.
Serrano, B. R., Ramírez-López, G., Barajas, M. A. A., & Hoyos, J. R. C. (2021). Socio-family variables associated with a higher risk of overweight and abdominal obesity in school children from a pediatric service at Colima, Mexico. Archivos Latinoamericanos de Nutricion, 71(2), 104–113. https://doi.org/10.37527/2021.71.2.003 DOI: https://doi.org/10.37527/2021.71.2.003
Shamah-Levy, T., Romero-Martínez, M., Barrientos-Gutiérrez, T., Cuevas-Nasu, L., Bautista-Arredondo, S., Colchero, M., Gaona-Pineda, E., Lazcano-Ponce, E., Martínez-Barnetche, J., Alpuche-Arana, C., & Rivera-Dommarco, J. (2021). Encuesta Nacional de Salud y Nutrición 2020 sobre Covid-19. Resultados nacionales (Instituto Nacional de Salud Pública (ed.)). DOI: https://doi.org/10.21149/12580
Shaw, K. A., Srikanth, V. K., Fryer, J. L., Blizzard, L., Dwyer, T., & Venn, A. J. (2007). Dual energy X-ray absorptiometry body composition and aging in a population-based older cohort. International Journal of Obesity, 31(2), 279–284.
https://doi.org/10.1038/sj.ijo.0803417 DOI: https://doi.org/10.1038/sj.ijo.0803417
Stewart, A., Marfell-Jones, M., Olds, T., & Ridder, H. (2011). Protocolo internacional para la valoración antropométrica ISAK (ISAK (ed.); 2011th ed.).
Tutunchi, H., Ebrahimi-Mameghani, M., Ostadrahimi, A., & Asghari-Jafarabadi, M. (2020). What are the optimal cut-off points of anthropometric indices for prediction of overweight and obesity? Predictive validity of waist circumference, waist-to-hip and waist-to-height ratios. Health Promotion Perspectives, 10(2), 142–147. https://doi.org/10.34172/hpp.2020.23 DOI: https://doi.org/10.34172/hpp.2020.23
UNICEF. (2022). Salud y nutrición. Salud y Nutrición. https://www.unicef.org/mexico/salud-y-nutrición
Valle-Leal, J., Abundis-Castro, L., Hernández-Escareño, J., & Flores-Rubio, S. (2016). Índice Cintura-Estatura Como Indicador De Riesgo Metabólico En Niños. Revista Chilena de Pediatria, 87(3), 180–185. https://doi.org/10.1016/j.rchipe.2015.10.011 DOI: https://doi.org/10.1016/j.rchipe.2015.10.011
Vanderwall, C., Eickhoff, J., Randall Clark, R., & Carrel, A. L. (2018). BMI z-score in obese children is a poor predictor of adiposity changes over time. BMC Pediatrics, 18(1), 1–6.
https://doi.org/10.1186/s12887-018-1160-5 DOI: https://doi.org/10.1186/s12887-018-1160-5
Xi, B., Zong, X., Kelishadi, R., Litwin, M., Hong, Y. M., Poh, B. K., Steffen, L. M., Galcheva, S. V., Herter-Aeberli, I., Nawarycz, T., Krzywińska-Wiewiorowska, M., Khadilkar, A., Schmidt, M. D., Neuhauser, H., Schienkiewitz, A., Kułaga, Z., Kim, H. S., Stawińska-Witoszyńska, B., Motlagh, M. E., … Bovet, P. (2020). International waist circumference percentile cutoffs for central obesity in children and adolescents aged 6 to 18 years. Journal of Clinical Endocrinology and Metabolism, 105(4), E1569–E1583.
https://doi.org/10.1210/clinem/dgz195 DOI: https://doi.org/10.1210/clinem/dgz195
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