Relación del índice de masa grasa e índice de masa libre de grasa con el índice de masa corporal y asociación con función física, cognición y estado nutricional en adultos mayores en zonas rurales ecuatorianas
PDF
EPUB

Palabras clave

Composição corporal; índice de massa gorda; massa livre de gordura; Tinetti; função física; estado cognitivo; idosos rurais; Equador. Body composition; fat mass index; fat-free mass; Tinetti; physical function; cognitive status; rural older adults; Ecuador. Composición corporal; índice de masa grasa; masa libre de grasa; Tinetti; función física; estado cognitivo; adultos mayores rurales; Ecuador.

Cómo citar

Ramón Paredes, D. F., Salas Contreras, F. H. ., & León Martinez, F. E. (2026). Relación del índice de masa grasa e índice de masa libre de grasa con el índice de masa corporal y asociación con función física, cognición y estado nutricional en adultos mayores en zonas rurales ecuatorianas. Runas. Journal of Education and Culture, 7(15), e260397. https://doi.org/10.46652/runas.v7i15.397

Resumen

El índice de masa corporal (IMC) no permite distinguir entre masa grasa, masa libre de grasa ni la distribución del tejido adiposo, lo que limita su utilidad como marcador del estado de salud en adultos mayores. El objetivo fue evaluar la relación del IMC con el índice de masa grasa (FMI), el índice de masa libre de grasa (FFMI) y el cociente masa grasa/masa libre de grasa (MG/MLG), y estudiar su asociación con función física, estado cognitivo y nutricional en adultos mayores rurales. Estudio transversal realizado en 302 adultos mayores (?65 años) de las parroquias rurales Sinincay, Ricaurte y El Valle (Cuenca, Ecuador). Se midió composición corporal por bioimpedancia eléctrica (BIA) y se aplicaron las escalas Mini Nutritional Assessment (MNA), Escala de Depresión Geriátrica de Yesavage, Miniexamen del Estado Mental (MMSE), Escala de Tinetti (marcha y equilibrio) y Escala de Actividades Instrumentales de la Vida Diaria de Lawton y Brody. El FMI, FFMI y MG/MLG se clasificaron en tertiles (T1 mínimo, T3 máximo) y se estratificaron por IMC. La edad media fue 74.2 ± 7.6 años; 67.9% fueron mujeres. El mayor tertil de FMI y cociente MG/MLG se asoció con mayor edad cronológica y corporal, mayor grasa visceral y peores puntuaciones en la Escala de Tinetti total (p=0.043 y p=0.046, respectivamente). El tertil más alto de FFMI se asoció con menor edad corporal, mayor masa muscular y mejores puntuaciones en el MMSE (p=0.001). La puntuación MNA no difirió significativamente entre tertiles de ninguno de los tres índices. En el análisis de regresión lineal ajustado, el FMI fue el único predictor independiente del puntaje Tinetti total (?=?0.193; IC95% ?0.384 a ?0.002; p=0.048). En adultos mayores rurales de Cuenca, mayor adiposidad relativa (FMI y cociente MG/MLG) se asocia con deterioro del equilibrio y la marcha medido por la Escala de Tinetti, mientras que mayor masa libre de grasa (FFMI) protege la función cognitiva. El FFMI y el cociente MG/MLG son mejores predictores del estado funcional y cognitivo que el IMC aislado. Intervenciones orientadas al incremento de la masa libre de grasa podrían reducir el riesgo de caídas y deterioro cognitivo en esta población.

https://doi.org/10.46652/runas.v7i15.397
PDF
EPUB

Citas

Álvarez-Bustos, A., Coelho-Junior, H. J., Calvani, R., Tosato, M., Cesari, M., Cherubini, A., & Marzetti, E. (2025). Adherence to physical activity and incident mobility disability in older adults with mobility limitations. Journal of Cachexia, Sarcopenia and Muscle, 16(3). https://doi.org/10.1002/jcsm.13870

Bae, E. M., & Park, S. M. (2021). Association between variations in body mass index and cognitive function in older Korean adults. Journal of Obesity & Metabolic Syndrome, 30(3), 271–278. https://doi.org/10.7570/jomes21044

Batsis, J. A., Shirazi, D., Petersen, C. L., Roderka, M. N., Lynch, D., Jimenez, D., & Cook, S. B. (2022). Changes in body composition in older adults after a technology-based weight loss intervention. The Journal of Frailty & Aging, 11(2), 151–155. https://doi.org/10.14283/jfa.2022.15

Booranasuksakul, U., Macdonald, I. A., Stephan, B. C. M., & Siervo, M. (2024). Body composition, sarcopenic obesity, and cognitive function in older adults: Findings from the National Health and Nutrition Examination Survey (NHANES) 1999–2002 and 2011–2014. Journal of the American Nutrition Association, 43(6), 539–552. https://doi.org/10.1080/27697061.2024.2333310

Çak?r, M., Aygün, O., Sakall?, A. A., Özkaya, Y., Terzi, N. E., & Kahraman, Ö. (2024). Association of body shape index and body fat percentage with geriatric assessment outcomes. Medicine, 103(15). https://doi.org/10.1097/md.0000000000043718

Camilo, B. de F., Oliveira, N. G. N., Bolina, A. F., Galvão, L. L., Tribess, S., & Virtuoso Júnior, J. S. (2024). Factors associated with body mass index in a cohort of older adults: Structural equation modeling analysis. PLOS ONE, 19(7). https://doi.org/10.1371/journal.pone.0305878

Castellote-Caballero, Y., Carcelén Fraile, M. C., Aibar-Almazán, A., Afanador-Restrepo, D. F., & González-Martín, A. M. (2024). Effect of combined physical-cognitive training on the functional and cognitive capacity of older people with mild cognitive impairment: A randomized controlled trial. BMC Medicine, 22. https://doi.org/10.1186/s12916-024-03469-x

Chapelon, J., Sourdet, S., Angioni, D., Steinmeyer, Z., Briand, M., Rolland, Y., & Abellan van Kan, G. (2025). Body composition of older adults with normal body mass index: Cross-sectional analysis of the Toulouse Frailty Clinic. The Journal of Frailty & Aging, 14(1). https://doi.org/10.1016/j.tjfa.2024.100003

Cheng, M., Meng, Y., Song, Z., Zhang, L., Zeng, Y., Zhang, D., & Li, S. (2025). The association between metabolic score for visceral fat and cognitive function among older adults in the United States. Nutrients, 17(2). https://doi.org/10.3390/nu17020236

Dong, W. S., Kan, L. C., Zhang, X. Y., Li, M. L., Wang, M. J., & Cao, Y. J. (2023). Association between body mass index and cognitive impairment in Chinese older adults. Frontiers in Public Health, 11. https://doi.org/10.3389/fpubh.2023.1255101

Erdo?an, O., Erdo?an, T., Önür, N. H., Özkök, S., Karan, M. A., & Bahat, G. (2025). Beyond BMI: Central obesity measures and cardiovascular risk in late life. Aging Clinical and Experimental Research, 37. https://doi.org/10.1007/s40520-025-03197-z

Fontalba-Navas, A., Echeverria, R., Larrea-Killinger, C., Gracia-Arnaiz, M., Soar, C., & Arrebola, J. P. (2025). Association between the Healthy Eating Index and the body mass index of older adults: An analysis of food frequency and preferences. Nutrients, 17(10). https://doi.org/10.3390/nu17101717

Grapsa, I., Mamalaki, E., Ntanasi, E., Kosmidis, M. H., Dardiotis, E., Hadjigeorgiou, G. M., & Yannakoulia, M. (2023). Longitudinal examination of body mass index and cognitive function in older adults: The HELIAD Study. Nutrients, 15(7). https://doi.org/10.3390/nu15071795

Johnson, K. O., Holliday, A., Mistry, N., Cunniffe, A., Howard, K., Stanger, N., & Ispoglou, T. (2021). An increase in fat-free mass is associated with higher appetite and energy intake in older adults: A randomised control trial. Nutrients, 13(1). https://doi.org/10.3390/nu13010141

Kang, S., Qiu, X., & Kang, H. (2025). Associations of nutritional health risk with cognitive function in older Korean adults: The mediating roles of lower body strength and depression. Geriatrics & Gerontology International, 25(12). https://doi.org/10.1111/ggi.70257

K?skaç, M., Soysal, P., Smith, L., Capar, E., & Zorlu, M. (2022). What is the optimal body mass index range for older adults? Annals of Geriatric Medicine and Research, 26(1), 49–57. https://doi.org/10.4235/agmr.22.0012

Kuang, X., Ding, P., Tian, L., Shi, H., & Wang, S. (2025). Association of BMI trajectories and healthy aging among Chinese older adults: A national cohort study. Frontiers in Public Health, 13. https://doi.org/10.3389/fpubh.2025.1538261

Ku?ak-Bejda, A., Bejda, G., & Waszkiewicz, N. (2021). Mental disorders, cognitive impairment and the risk of suicide in older adults. Frontiers in Psychiatry, 12. https://doi.org/10.3389/fpsyt.2021.695286

Kunutsor, S. K., Jae, S. Y., Dey, R. S., & Laukkanen, J. A. (2025). Comparative evaluation of relative fat mass and body mass index in predicting cardiometabolic multimorbidity in older adults: Results from the English Longitudinal Study of Ageing. GeroScience, 48, 5445–5455. https://doi.org/10.1007/s11357-025-01954-6

Liang, F., Fu, J., Turner-McGrievy, G., Wang, Y., Qiu, N., Ding, K., Zeng, J., Moore, J. B., & Li, R. (2022). Association of body mass index and plant-based diet with cognitive impairment among older Chinese adults: A prospective, nationwide cohort study. Nutrients, 14(15). https://doi.org/10.3390/nu14153132

Liu, D., Lei, Y. L., Zhang, L., Wang, W., Shao, C., Zhou, Q., & Tang, Y. D. (2024). Associations of the fat-free mass index and the fat mass index with the risk of developing diabetes and prediabetes in US adults. Lipids in Health and Disease, 23. https://doi.org/10.1186/s12944-024-02370-z

Liu, X., Chen, X., Hou, L., Xia, X., Hu, F., Luo, S., Zhang, G., & Dong, B. (2021). Associations of body mass index, visceral fat area, waist circumference, and waist-to-hip ratio with cognitive function in Western China: Results from WCHAT Study. The Journal of Nutrition, Health & Aging, 25(7), 903–908. https://doi.org/10.1007/s12603-021-1642-2

Lu, D., Ji, X., An, Y., Liu, H., Zheng, G., Liu, Y., & Xia, Y. (2025). The associations of general, central, visceral obesity, and body fat percentage with cognitive impairment in the elderly: Meta-analysis and Mendelian randomization study. Advances in Nutrition, 16. https://doi.org/10.1016/j.advnut.2025.100550

Ma, W., Zhang, H., Wu, N., Liu, Y., Han, P., Wang, F. (2021). Relationship between obesity-related anthropometric indicators and cognitive function in Chinese suburb-dwelling older adults. PLOS ONE, 16(10). https://doi.org/10.1371/journal.pone.0258922

Martínez-Hernández, B. M., Rosas-Carrasco, O., López-Teros, M., González-Rocha, A., Muñoz-Aguirre, P., Palazuelos-González, R., & Denova-Gutiérrez, E. (2022). Association between physical activity and physical and functional performance in non-institutionalized Mexican older adults: A cohort study. BMC Geriatrics, 22. https://doi.org/10.1186/s12877-022-03083-7

Merchant, R. A., Seetharaman, S., Au, L., Wong, M. W. K., Wong, B. L. L., Tan, L. F., Chen, M. Z., Ng, S. E., Soong, J. T. Y., Hui, R. J. Y., Kwek, S. C., & Morley, J. E. (2021). Relationship of fat mass index and fat free mass index with body mass index and association with function, cognition and sarcopenia in pre-frail older adults. Frontiers in Endocrinology, 12. https://doi.org/10.3389/fendo.2021.765415

Merchant, R. A., Soong, J. T. Y., & Morley, J. E. (2022). Gender differences in body composition in pre-frail older adults with diabetes mellitus. Frontiers in Endocrinology, 13. https://doi.org/10.3389/fendo.2022.795594

Meshram, I. I., Balakrishna, N., Bhaskar, V., Laxmaiah, A., Brahmam, G. N. V., & Arlappa, N. (2025). Trends in body mass index, nutrient intake and nutritional status of rural adults in India: National Nutrition Monitoring Bureau survey findings (1975–2012). BMC Public Health, 25. https://doi.org/10.1186/s12889-025-23731-y

Molcho, L., Maimon, N. B., Zeimer, T., Chibotero, O., Rabinowicz, S., Armoni, V., & Sasson, A. (2025). Evaluating cognitive decline detection in aging populations with single-channel EEG features based on two studies and meta-analysis. Scientific Reports, 15. https://doi.org/10.1038/s41598-025-10983-2

Pan, H., & Hao, Y. (2025). Body mass index and multidimensional health in Chinese older adults: A moderated mediation analysis of urban-rural residence, physical activity, and depression. Frontiers in Public Health, 13. https://doi.org/10.3389/fpubh.2025.1650975

Riyandi Prastyawan, R., Budiarti, R., Muslikhin, Wahyuti, S. A., & Miftachurochmah, Y. (2025). Associations between body mass index and key health indicators in elderly populations: A case study. International Journal of Body, Mind and Culture, 12(2), 242–253. https://doi.org/10.61838/ijbmc.v12i2.830

Seo, Y. K., Won, C. W., & Soh, Y. (2021). Associations between body composition and cognitive function in an elderly Korean population: A cohort-based cross-sectional study. Medicine, 100(44). https://doi.org/10.1097/md.0000000000025027

Sung, J. H., Ko, F. S., Wu, T. H., Tsai, S. C., Hwu, C. M., & Su, G. Y. (2025). Ratio of fat-free mass to fat mass is associated with physical performance in patients with type 2 diabetes mellitus. Frontiers in Endocrinology, 16. https://doi.org/10.3389/fendo.2025.1562870

Thompson, A. C., Mansfield, T., Johnson, E., Cawthon, P. M., Strotmeyer, E. S., Williamson, J. D., & Kritchevsky, S. B. (2025). Relationship of multiple sensory impairments with physical performance in older adults in the Study of Muscle, Mobility and Aging. The Journals of Gerontology: Series A, 80(6). https://doi.org/10.1093/gerona/glaf065

Uchida, K., Sugimoto, T., Tange, C., Nishita, Y., Shimokata, H., Saji, N., Kuroda, Y., Matsumoto, N., Kishino, Y., Ono, R., Akisue, T., Otsuka, R., & Sakurai, T. (2023). Association between reduction of muscle mass and faster declines in global cognition among older people: A 4-year prospective cohort study. The Journal of Nutrition, Health & Aging, 27(11), 932–939. https://doi.org/10.1007/s12603-023-2007-9

Yu, Z., Su, L., Ni, P., He, J., Su, Y., Cui, J., & Li, F. (2025). Impact of air pollution and behavioral factors on cognitive decline among middle-aged and elderly populations in China. BMC Public Health, 25. https://doi.org/10.1186/s12889-025-23211-3

Yuan, Y., Li, J., Zhang, N., Fu, P., Jing, I., Yu, C., Zhao, D., & Zhou, C. (2021). Body mass index and mild cognitive impairment among rural older adults in China: The moderating roles of gender and age. BMC Psychiatry, 21. https://doi.org/10.1186/s12888-021-03059-8

Creative Commons License

Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.

Derechos de autor 2026 Diana Fernanda Ramón Paredes, Francy Hollminn Salas Contreras, Fredy Eduardo León Martinez

Descargas

Los datos de descargas todavía no están disponibles.