La obesidad: más allá del IMC

Autores/as

  • Karen Schlosser Montes Escuela de Nutrición
  • Marcela Barillas Basterrechea Escuela de Nutrición

DOI:

https://doi.org/10.37345/23045329.v2i2.126

Palabras clave:

composición corporal, Índice de masa corporal, circunferencia de cintura

Resumen

Introducción: Por mucho tiempo el índice de masa corporal (IMC) se ha utilizado por los trabajadores de la salud como un estándar para clasificar el estado nutricional, la cantidad de grasa y el riesgo de padecer enfermedades metabólicas; sin embargo, cada vez se reconocen más sus limitaciones. Objetivo: El objetivo de este trabajo era identificar si el IMC es un indicador confiable del estado de grasa corporal en adultos guatemaltecos. Metodología: Para determinar esto, se analizaron los datos de 781 adultos que asistieron a la clínica de Nutrición de Salud de la Universidad Francisco Marroquín (UFM) entre 2022 y 2023. Resultados: Se encontró que el IMC subestimó el estado de grasa corporal en al menos un 10 % de sujetos con respecto de la clasificación, según los índices de adiposidad medidos por DXA. Por otra parte, se encontró que la circunferencia de la cintura se correlacionó de forma significativa con el tejido adiposo visceral para mujeres y hombres (r=0.8608; p<0.0001 y r=0.8242; p<0.0001, respectivamente). Conclusión: Por esta razón, se concluyó que, a pesar de que el IMC es una herramienta valiosa, su uso debe ser complementado y contextualizado con otras mediciones para una evaluación más exacta del estado de salud de un individuo.

Referencias

Messiah, S. Body Composition. In: Gelman, M.D., (eds.). Encyclopedia of Behavioral Medicine. Reference work entry. Springer, Cham. 2020, Oct.; 276-278. DOI: https://doi.org/10.1007/978-3-030-39903-0_728 DOI: https://doi.org/10.1007/978-3-030-39903-0_728

Park, J., Morley, T.S., Kim, M., Clegg, D.J., Scherer, P.E. Obesity and cancer--mechanisms underlying tumour progression and recurrence. Nat Rev Endocrinol. 2014, Aug.; 10(8): 455-465. DOI: 10.1038/nrendo.2014.94 DOI: https://doi.org/10.1038/nrendo.2014.94

Institute of Medicine (US) Committee on Military Nutrition Research; Marriott, B.M., Grumstrup-Scott, J., editors. Body composition and physical performance: Applications for the Military Services. Washington (DC): National Academies Press (US); 1990; 1. Introduction and background. DOI: 10.17226/2031 DOI: https://doi.org/10.17226/2031

World Health Organization (WHO). Anthropometry in measuring nutritional status: A guide for health and development workers. Geneva: World Health Organization. 2011.

Savegnago Mialich, M., Faccioli Sicchieri, J.M. & Jordao Junior, A.A. Analysis of Body Composition: A Critical Review of the Use of Bioelectrical Impedance Analysis. International Journal of Clinical Nutrition. 2014, Jan.; 2(1): 1-10. DOI: https://doi.org/10.12691/ijcn-2-1-1

Baral, P., Shrestha, R., Shrestha, R.N., Banstola, D., Prajapati, R. A study of height, weight and body mass index in Nepalese. Journal of Gandaki Medical College-Nepal. 2021; 14(2): 88-92. DOI: https://doi.org/10.3126/jgmcn.v14i2.40021 DOI: https://doi.org/10.3126/jgmcn.v14i2.40021

Mohajan, D., Mohajan, H.K. Body mass index (BMI) is a popular anthropometric tool to measure obesity among adults. Journal of Innovations in Medical Research. 2023, Apr.; 2(4): 25-33. https://www.paradigmpress.org/jimr/article/view/578 DOI: https://doi.org/10.56397/JIMR/2023.04.06

Klein, S., Allison, D.B., Heymsfield, S.B., Kelley, D.E., Leibel, R.L., Nonas, C., et al. Waist circumference and cardiometabolic risk: a consensus statement from shaping America's health: Association for Weight Management and Obesity Prevention; NAASO, the Obesity Society; the American Society for Nutrition; and the American Diabetes Association. Diabetes Care. 2007, Jun.; 30(6): 1647-1652. DOI: 10.2337/dc07-9921 . DOI: https://doi.org/10.2337/dc07-9921

Huang, P.L. A comprehensive definition for metabolic syndrome. Disease Models & Mechanisms. 2009, May; 2(5–6): 231–237. https://doi.org/10.1242/dmm.001180 DOI: https://doi.org/10.1242/dmm.001180

International Diabetes Federation. The IDF Consensus worldwide definition of the Metabolic Syndrome. Belgium, IDF, 2006; 1-7. https://sites.pitt.edu/~super1/Metabolic/IDF1.pdf

Seagle, H.M., Wyatt, H.R., & Hill, J.O. Chapter 24 - Obesity: Overview of Treatments and Interventions. In: Coulston, A.M., Boushey, C.J., Ferruzzi, M. Nutrition in the Prevention and Treatment of Disease (Third Edition), Academic Press, 2013; 445-464. https://doi.org/10.1016/B978-0-12-391884-0.00024-X DOI: https://doi.org/10.1016/B978-0-12-391884-0.00024-X

Cameron, A.J., Romaniuk, H., Orellana, L., Dallongeville, J., Dobson, A.J., Drygas, W., et al. Combined Influence of Waist and Hip Circumference on Risk of Death in a Large Cohort of European and Australian Adults. J Am Heart Assoc. 2020, Jul.; 9(13): e015189. DOI: 10.1161/JAHA.119.015189 DOI: https://doi.org/10.1161/JAHA.119.015189

Taylor, R.W., Jones, I.E., Williams, S.M. & Goulding, A. Evaluation of waist circumference, waist-to-hip ratio, and the conicity index as screening tools for high trunk fat mass, as measured by dual-energy X-ray absorptiometry, in children aged 3–19 y. The American Journal of Clinical Nutrition. 2000; 72(2): 490-495. DOI: https://doi.org/10.1093/ajcn/72.2.490. DOI: https://doi.org/10.1093/ajcn/72.2.490

Messina, C., Albano, D., Gitto, S., Tofanelli, L., Bazzocchi, A., Ulivieri, F.M., et al. Body composition with dual energy X-ray absorptiometry: from basics to new tools. Quant Imaging Med Surg. 2020, Aug.; 10(8): 1687-1698. DOI: 10.21037/qims.2020.03.02 DOI: https://doi.org/10.21037/qims.2020.03.02

Kawakami, R., Miyachi, M., Sawada, S.S., Torii, S., Midorikawa, T., Tanisawa, K., et al. Cut-offs for calf circumference as a screening tool for low muscle mass: WASEDA'S Health Study. Geriatr Gerontol Int. 2020, Oct.; 20(10): 943-950. DOI: 10.1111/ggi.14025. DOI: https://doi.org/10.1111/ggi.14025

Bohannon, R.W. Grip Strength: An Indispensable Biomarker For Older Adults. Clin Interv Aging. 2019, Oct.; 14: 1681-1691. DOI: 10.2147/CIA.S194543. DOI: https://doi.org/10.2147/CIA.S194543

Zhang, X., Chen, Q., Sun, X., Wu, Q., Cheng, Z., Lv, Q., et al. Association between deposit of abdominal adipose tissues and metabolic abnormality in a Chinese population. Research Square. 2021, Aug. DOI: https://doi.org/10.21203/rs.3.rs-818177/v1 DOI: https://doi.org/10.21203/rs.3.rs-818177/v1

Walowski, C.O., Braun, W., Maisch, M.J., Jensen, B., Peine, S., Norman, K., et al. Reference Values for Skeletal Muscle Mass - Current Concepts and Methodological Considerations. Nutrients. 2020, Mar.; 12(3): 755. DOI: 10.3390/nu12030755. DOI: https://doi.org/10.3390/nu12030755

Endalifer, M.L., Diress, G. Epidemiology, predisposing factors, biomarkers, and prevention mechanism of obesity: a systematic review. Journal of Obesity. 2020, May.; 1-8. DOI: https://doi.org/10.1155/2020/6134362 DOI: https://doi.org/10.1155/2020/6134362

Luo, Y.N., Huang, W.Z., Liu, X.X., Markevych, I., Bloom, M.S., Zhao, T., et al. Greenspace with overweight and obesity: A systematic review and meta‐analysis of epidemiological studies up to 2020. Obesity reviews. 2020, Nov.; 21(11): e13078. DOI: 10.1111/obr.13078 DOI: https://doi.org/10.1111/obr.13078

Safaei, M., Sundararajan, E.A., Driss, M., Boulila, W., Shapi'I, A. A systematic literature review on obesity: Understanding the causes & consequences of obesity and reviewing various machine learning approaches used to predict obesity. Comput biol Med. 2021, Sep.; 136: 104754. DOI: 10.1016/j.compbiomed.2021.104754 DOI: https://doi.org/10.1016/j.compbiomed.2021.104754

Gulsin, G.S., Brady, E.M., Swarbrick, D.J., Athithan, L,. Henson, J., Baldry, E., et al. Rationale, design and study protocol of the randomised controlled trial: Diabetes Interventional Assessment of Slimming or Training to Lessen Inconspicuous Cardiovascular Dysfunction (the DIASTOLIC study). BMJ Open. 2019, Mar.; 9(3): e023207. DOI: 10.1136/bmjopen-2018-023207. DOI: https://doi.org/10.1136/bmjopen-2018-023207

Willett, K., Jian, R., Lenart, E., Spiegelman, D., Willett, W. Comparison of Bioelectrical Impedance and BMI in Predicting Obesity-Related Medical Conditions. Obesity (Silver Spring). 2006, Mar.; 14(3): 480-490. DOI: https://doi.org/10.1038/oby.2006.63. DOI: https://doi.org/10.1038/oby.2006.63

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Publicado

30-11-2024

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Artículos científicos

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La obesidad: más allá del IMC. (2024). Revista De La Facultad De Medicina, 2(2), 19-30. https://doi.org/10.37345/23045329.v2i2.126

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