Resumen
La edad corporal, estimada mediante bioimpedancia eléctrica, refleja el desgaste fisiológico acumulado del organismo y puede diferir considerablemente de la edad cronológica en función de los hábitos de vida, condición poco documentada en adultos mayores de entornos rurales andinos. La inseguridad alimentaria, el sedentarismo y el tabaquismo aceleran el envejecimiento biológico, especialmente en poblaciones con acceso limitado a servicios preventivos de salud. Estudio descriptivo transversal en 276 adultos mayores rurales del Ecuador (65-95 años; 183 mujeres, 93 hombres). Se evaluaron variables sociodemográficas, tabaquismo, actividad física y adherencia a la dieta mediterránea mediante instrumentos estandarizados. La edad corporal se determinó por bioimpedancia; una diferencia ?5 años respecto a la cronológica definió envejecimiento acelerado. Se aplicaron pruebas t de Student, chi-cuadrado y regresión logística binaria. La diferencia media global fue de 3,17 ± 4,8 años. El 35,5% exhibió envejecimiento acelerado. Los hombres presentaron mayor diferencia media (3,8 ± 4,5) que las mujeres (2,9 ± 4,9), sin significancia estadística (p=0,150). El tabaquismo elevó la diferencia a 4,9 ± 1,9 años frente a 3,1 ± 4,9 en no fumadores. En la regresión logística, el tabaquismo obtuvo el mayor riesgo (OR=2,83; IC95%: 0,78-10,30), sin alcanzar significancia. Los factores de riesgo modificables, especialmente el tabaquismo, se asociaron con mayor aceleración de la edad corporal en adultos mayores rurales ecuatorianos. La bioimpedancia se confirma como herramienta viable para la detección temprana del envejecimiento acelerado en el primer nivel de atención.
Citas
Abdu, O., Hajito, K. W., & Mohammed, T. (2020). Predictors of malnutrition among older adults aged above 65 years in eastern Ethiopia: Findings from a community-based study. BMC Geriatrics, 20(1). https://doi.org/10.1186/s12877-020-01911-2
Ahmadabad, A. D., Jahangiry, L., Gilani, N., Sarbakhsh, P., Sarbakhsh, K., & Ponnet, K. (2024). Lifestyle patterns, nutritional, and metabolic syndrome determinants in a sample of the older Iranian population. BMC Geriatrics, 24. https://doi.org/10.1186/s12877-024-04659-1
Banerjee, S. (2021). Determinants of rural-urban differential in healthcare utilization among the elderly population in India. BMC Public Health, 21(1). https://doi.org/10.1186/s12889-021-10773-1
Bardon, L. A., Corish, C. A., Lane, M., Bizzaro, M. G., Loayza Villarroel, K., Clarke, M., Power, L. C., Gibney, E. R., & Dominguez Castro, P. (2021). Ageing rate of older adults affects the factors associated with, and the determinants of malnutrition in the community: A systematic review and narrative synthesis. BMC Geriatrics, 21(1). https://doi.org/10.1186/s12877-021-02583-2
Campa, F., Colognesi, L. A., Moro, T., Paoli, A., Casolo, A., Santos, L., Correia, R. R., Lemes, I. R., Milanez, V. F., Christofaro, D. D., Cyrino, E. S., & Gobbo, L. A. (2022). Effect of resistance training on bioelectrical phase angle in older adults: A systematic review with meta-analysis of randomized controlled trials. Reviews in Endocrine and Metabolic Disorders, 23(6), 1051–1068. https://doi.org/10.1007/s11154-022-09747-4
Cruz-Jentoft, A. J., Bahat, G., Bauer, J., Boirie, Y., Bruyère, O., Cederholm, T., Cooper, C., Landi, F., Rolland, Y., Sayer, A. A., Schneider, S. M., Sieber, C. C., Topinkova, E., Vandewoude, M., Visser, M., & Zamboni, M. (2019). Sarcopenia: Revised European consensus on definition and diagnosis. Age and Ageing, 48(1), 16–31. https://doi.org/10.1093/ageing/afy169
Dayi, T., & Ozgoren, M. (2022). Effects of the Mediterranean diet on the components of metabolic syndrome. Journal of Preventive Medicine and Hygiene, 63(3), 56–64. https://doi.org/10.15167/2421-4248/jpmh2022.63.2S3.2747
de Bonfioli Cavalcabò, N., Facchini, L., Assedi, M., Ermini, I., Cozzolino, F., Bortolotti, E., Saieva, C., Biagiotti, D., Pastore, E., Bendinelli, B., Masala, G., & Caini, S. (2025). Sex specificities in the association between diet, physical activity, and body composition among the elderly: A cross-sectional study in Florence, Italy. International Journal of Environmental Research and Public Health, 22(7). https://doi.org/10.3390/ijerph22070975
Doan, D. N. T., Ku, B., Kim, K., Lee, K., & Kim, J. U. (2025). Exploring new biomarkers for biological aging from bioimpedance analysis and cognitive functions in older adults. Biogerontology, 26. https://doi.org/10.1007/s10522-025-10222-1
Fávaro-Moreira, N. C., Krausch-Hofmann, S., Matthys, C., Vereecken, C., Vanhauwaert, E., Declercq, A., Bekkering, G. E., & Duyck, J. (2016). Risk factors for malnutrition in older adults: A systematic review of the literature based on longitudinal data. Advances in Nutrition, 7(3), 507–522. https://doi.org/10.3945/an.115.011254
Grootswagers, P., Ricco, A., Hulshof, P., & de Groot, L. (2025). Phase angle is related to physical function in high-risk Dutch older adults: Implications for sarcopenia screening. The Journal of Frailty & Aging, 14(5). https://doi.org/10.1016/j.tjfa.2025.100071
Ju, Y., Lin, X., Zhang, K., Yang, D., Cao, M., Jin, H., & Leng, J. (2024). The role of comprehensive geriatric assessment in identification of different nutritional status in older inpatients. Frontiers in Nutrition, 11. https://doi.org/10.3389/fnut.2023.1166361
Kelly, R. S., Kelly, M. P., & Kelly, P. (2020). Metabolomics, physical activity, exercise and health: A review of the current evidence. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, 1866(12). https://doi.org/10.1016/j.bbadis.2020.165936
Kim, S., & Won, C. W. (2022). Sex-different changes of body composition in aging: A systematic review. Archives of Gerontology and Geriatrics, 102. https://doi.org/10.1016/j.archger.2022.104711
Moradell, A., Gomez-Cabello, A., Mañas, A., Gesteiro, E., Pérez-Gómez, J., González-Gross, M., Casajús, J. A., Ara, I., & Vicente-Rodríguez, G. (2024). Longitudinal changes in the body composition of non-institutionalized Spanish older adults after 8 years of follow-up: The effects of sex, age, and organized physical activity. Nutrients, 16(2). https://doi.org/10.3390/nu16020298
Muneera, K., Muhammad, T., & Althaf, S. (2022). Socio-demographic and lifestyle factors associated with intrinsic capacity among older adults: Evidence from India. BMC Geriatrics, 22(1). https://doi.org/10.1186/s12877-022-03558-7
Muneera, K., Muhammad, T., Pai, M., Ahmed, W., & Althaf, S. (2023). Associations between intrinsic capacity, functional difficulty, and fall outcomes among older adults in India. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-37097-x
Norman, K., Haß, U., & Pirlich, M. (2021). Malnutrition in older adults—Recent advances and remaining challenges. Nutrients, 13(8). https://doi.org/10.3390/nu13082764
Norman, K., Herpich, C., & Müller-Werdan, U. (2022). Role of phase angle in older adults with focus on the geriatric syndromes sarcopenia and frailty. Reviews in Endocrine and Metabolic Disorders, 23(6), 1059–1070. https://doi.org/10.1007/s11154-022-09772-3
Obeng, P., Kyereh, H. K., Sarfo, J. O., Ansah, E. W., & Attafuah, P. Y. A. (2022). Nutritional status and associated factors of older persons in sub-Saharan Africa: A scoping review. BMC Geriatrics, 22(1). https://doi.org/10.1186/s12877-022-03062-y
Olaoluwa, O. T., & Ajayi, M. S. (2025). Influence of sociodemographic and clinical factors on illness progression and quality of life among older adults in Ibadan, Nigeria. BMC Geriatrics, 25. https://doi.org/10.1186/s12877-025-06458-8
Power, L., Mullally, D., Gibney, E. R., Clarke, M., Lane, M., Mockler, D., Bardon, L., O’Connor, E. M., & Corish, C. A. (2018). A review of the validity of malnutrition screening tools used in older adults in community and healthcare settings—A MaNuEL study. Clinical Nutrition ESPEN, 24, 1–13. https://doi.org/10.1016/j.clnesp.2018.02.005
Rivadeneira, M. F., Mendieta, M. J., Villavicencio, J., Caicedo-Gallardo, J., & Buendía, P. (2021). A multidimensional model of healthy ageing: Proposal and evaluation of determinants based on a population survey in Ecuador. BMC Geriatrics, 21(1). https://doi.org/10.1186/s12877-021-02548-5
Saha, S., Behnke, A., Oldewage-Theron, W., Mubtasim, N., & Miller, M. (2021). Prevalence and factors associated with food insecurity among older adults in Sub-Saharan Africa: A systematic review. Journal of Nutrition in Gerontology and Geriatrics, 40(4), 171–196. https://doi.org/10.1080/21551197.2021.1988027
Shuremu, M., Belachew, T., & Hassen, K. (2023). Nutritional status and its associated factors among elderly people in Ilu Aba Bor Zone, Southwest Ethiopia: A community-based cross-sectional study. BMJ Open, 13(1). https://doi.org/10.1136/bmjopen-2022-067787
Srivastava, S., & Muhammad, T. (2022). Rural-urban differences in food insecurity and associated cognitive impairment among older adults: Findings from a nationally representative survey. BMC Geriatrics, 22(1). https://doi.org/10.1186/s12877-022-02984-x
Suapumee, N., Seeherunwong, A., Wanitkun, N., & Chansatitporn, N. (2024). Examining determinants of control of metabolic syndrome among older adults with NCDs receiving service at NCD Plus clinics: Multilevel analysis. BMC Health Services Research, 24. https://doi.org/10.1186/s12913-024-11562-3
Terada, T., Reed, J. L., Vidal-Almela, S., Mistura, M., Kamiya, K., & Way, K. L. (2022). Sex-specific associations of fat mass and muscle mass with cardiovascular disease risk factors in adults with type 2 diabetes living with overweight and obesity. Cardiovascular Diabetology, 21. https://doi.org/10.1186/s12933-022-01468-x
Tetteh, J., Ekem-Ferguson, G., Malm, K., Yawson, O. A., Otchi, E., Swaray, S. M., Ntumy, M. Y., & Yawson, A. E. (2024). Food insecurity and associated health and social determinants among older adults in Ghana: Analysis of the WHO’s study on global AGEing and adult health (SAGE), 2014–2015. Preventive Medicine Reports, 41. https://doi.org/10.1016/j.pmedr.2024.102693
Vilar-Compte, M., Burrola-Méndez, S., Lozano-Marrufo, A., Ferré-Eguiluz, I., Flores, D., Gaitán-Rossi, P., Teruel, G., & Pérez-Escamilla, R. (2021). Urban poverty and nutrition challenges associated with accessibility to a healthy diet: A global systematic literature review. International Journal for Equity in Health, 20. https://doi.org/10.1186/s12939-020-01330-0
Wang, L. Y., Hu, Z. Y., Chen, H. X., Tang, M. L., & Hu, X. Y. (2024). Multiple geriatric syndromes in community-dwelling older adults in China. Scientific Reports, 14. https://doi.org/10.1038/s41598-024-54254-y
Zhang, K., Ma, Y., Luo, Y., Song, Y., Xiong, G., Ma, Y., Sun, X., & Kan, C. (2023). Metabolic diseases and healthy aging: Identifying environmental and behavioral risk factors and promoting public health. Frontiers in Public Health, 11. https://doi.org/10.3389/fpubh.2023.1253506

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Derechos de autor 2026 Carlos Geovanny Guamán Tenesaca, Maria Graciela Merchan Coronel, Selena Valeria Balarezo Chalco
