Effect of decreased muscle strength in the elderly on cognitive decline

Contenido principal del artículo

Namsu Kim
Geonmin Jeon
Dongwook Kim
Jinseok Lee

Resumen

Our study aims to explore the relationship between cognitive decline and sarcopenia in the elderly. Additionaly, identified which specific assess of sarcopenia are most strongly associated with cognitive decline. This study involved 1,327 elderly participants, all aged 65 older, who voluntarily agreed to participate after being selected from applicants to a project commissioned by the Gyeongsangnam-do Provincial Government. The survey was conducted over a period of seven months. All variables were assessed through face-to-face interactions. Sarcopenia and frailty were directly evaluated using physical function tests included in the survey items, while the remaining variables were assessed using questionnaires. To investigate the relationship between cognitive impairment and sarcopenia, odds ratios (ORs) were calculated using a logistic regression model. Factors associated with cognitive impairment included demographic variables such as gender (OR=1.585, p<.004), age over 86 years (OR=1.492, p<.029), and residential area (OR=1.369, p<.016). Disease-related factors included depression (OR=15.420, p<.001), diabetes (OR=4.967, p<.001), hypertension (OR=2.573, p<.001), arthritis (OR=3.158, p<.001), sarcopenia (OR=7.386, p<.001), and frailty (OR=8.399, p<.001), all of which were statistically significant. A detailed analysis of the sarcopenia items revealed that muscle strength reduction (OR=1.621, p=.029) was statistically significant, indicating a negative impact on cognitive function decline in the elderly. This study showed that sarcopenia negatively impacts cognitive function decline in the elderly. Specifically, among the sarcopenia survey questions, muscle strength reduction was identified as a significant factor contributing to cognitive decline. These findings underscore the importance of efforts to prevent muscle strength reduction. This study's findings pertain to sarcopenia among elderly individuals living near coastal areas in Asian countries. It is believed that these results can provide important information for elderly populations residing in similar environments.

Detalles del artículo

Sección

Related fields

Referencias

[1] Baker, NA., Barbour, KE., Helmick, CG., et al. (2017). Arthritis and cognitive impairment in older adults. Rheumatology international, 37, 955-961. https:// doi:10.1007/s00296-017-3698-1.

[2] Beeri, MS., Leugrans, SE., Delbono, O., et al. (2021). Sarcopenia is associated with incident Alzheimer's dementia, mild cognitive impairment, and cognitive decline. Journal of the American Geriatrics Society, 69(7), 1826-1835. https://doi.org/10.1111/jgs.17206.

[3] Borges, MK., Canevelli, M., Cesari M., et al. (2019). Frailty as a predictor of cognitive disorders: a systematic review and meta-analysis. Frontiers in medicine, 6, 26. https://doi.org/10.3389/fmed.2019.00026.

[4] Cipolli, GC., Aprahamian, I., Borim, FSA., et al. (2021). Probable sarcopenia is associated with cognitive impairment among community-dwelling older adults: results from the FIBRA study. Arquivos de neuro-psiquiatria, 79, 376-383. https://doi.org/10.1590/0004-282X-ANP-2020-0186.

[5] Fabrício, D., Chagas, MHN., Diniz, BS. (2020). Frailty and cognitive decline.Translational Research, 221,58-64. https://doi.org/10.1016/j.trsl.2020.01.002.

[6] Ferrucci, L., Cooper, R., Shardell, M., et al. (2016). Journals of gerontology series a: biomedical sciences and medical sciences, 71, 1184-1194. https://doi.org/10.1093/gerona/glw043.

[7] Fried, LP., Tangen, CM., Walston, J., et al. (2001). Frailty in older adults: evidence for a phenotype. J Gerontol A Biol Sci Med Sci, 56, 146-56. https://doi.org/10.1093/gerona/56.3.M146.

[8] Goodpaster, BH., Park, SW., Harris, TB., et al. (2006). The loss of skeletal muscle strength, mass, and quality in older adults: the health, aging and body composition study. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 61(10), 1059-1064. https://doi.org/10.1093/gerona/61.10.1059.

[9] Grevendonk, L., Connell, NJ., McCrum, C., et al. (2021). Impact of aging and exercise on skeletal muscle mitochondrial capacity, energy metabolism, and physical function.Nature Communications, 12(1), 4773. https://doi.org/10.1038/s41467-021-24956-2.

[10] Hwang, H. S., Kwon, I. S., Park, B. J., et al. (2010). Development and feasibility study of Korean senility measurement tools. J Korean Geriatr Soc. 2010, 14, 191.

[11]Jakovljevic, M, Sugahara T, Timofeyev Y., et al. (2020). Predictors of (in) efficiencies of healthcare expenditure among the leading asian economies–comparison of OECD and non-OECD nations. Risk management and healthcare policy, 2261-2280. https://doi.org/10.3390/ijerph18116073.

[12] Kim, H. J, Jung, A. H., & Park, H. S. (2023). Strategies for eating protein products to prevent chronic diseases in the elderly. Livestock food science and industry, 12, 63-70.

[13] Kim, K. J., & Kim, H. S. (2019). Theoretical consideration of sarcopenia for effective elderly exercise coaching. Coaching Competency Development Paper, 21, 95-105.

[14] Kim, S. H., Choi, Y. J., & Kim, C. S. (2023). Changes in the prevalence of dementia according to socioeconomic forms: focusing on those eligible for health insurance and medical benefits, 3(2), 205-212.

Lee, I. H., Gong, J. Y., Jin, Y. Y., et al. (2017). The connection between physical weakness and cognitive function and depression in elderly women. Journal of the Korean Society of Living Environment, 24, 245-253.

[15] Maier, A., Riedel-Heller S. G., Pabst, A., et al. (2021). Risk factors and protective factors of depression in older people 65+. A systematic review. PloS one, 16(5), e0251326. https://doi.org/10.1371/journal.pone.0251326.

[16] Malmstrom, T. K., & Morley, J. E. (2013). SARC-F: a simple questionnaire to rapidly diagnose sarcopenia.Journal of the American Medical Directors Association, 14(8), 531-532. https://doi.org/10.1016/j.jamda.2013.05.018.

[17] Mattiuzzi, C., & Lippi, G. (2020). Worldwide disease epidemiology in the older persons. European geriatric medicine, 11, 147-153. https://doi.org/10.1007/s41999-019-00265-2.

[18] Nishiguchi, S., Yamada, M., Fukutani, N., et al. (2015). Differential association of frailty with cognitive decline and sarcopenia in community-dwelling older adults. Journal of the American Medical Directors Association, 16, 120-124. https://doi.org/10.1016/j.jamda.2014.07.010.

[19] Ponti, F., Santoro, A., Mercatelli, D., et al. (2020). Aging and imaging assessment of body composition: from fat to facts. Frontiers in endocrinology, 10, 488049. https://doi.org/10.3389/fendo.2019.00861.

[20] Roberts, R. O., Cha, R. H., Mielke, M. M., et al. (2015). Risk and protective factors for cognitive impairment in persons aged 85 years and older.Neurology, 84(18), 1854-1861. https://doi.org/10.1212/WNL.0000000000001537.

[21] Samper-Ternent, R., Reyes-Ortiz, C., Ottenbacher, K. J., & Cano, C. A. (2017). Frailty and sarcopenia in Bogotá: results from the SABE Bogotá Study. Aging clinical and experimental research, 29,265-272. https://doi.org/10.1007/s40520-016-0561-2.

[22] Serhal, L., Lwin, M.N., Holroyd C., et al. (2020). Rheumatoid arthritis in the elderly: characteristics and treatment considerations.Autoimmunity reviews, 19(6), 102528. https://doi.org/10.1016/j.autrev.2020.102528.

[23] Shao, T., Verma, H. K., Pande, B. (2021). Physical activity and nutritional influence on immune function: an important strategy to improve immunity and health status. Frontiers in physiology, 12, 751374. https://doi.org/10.3389/fphys.2021.751374.

[24] Shin, Y. S., Lee, J. H., Kim, B. J., et al. (2017). A plan to reform the health care system in response to the Fourth Industrial Revolution. the Korea Institute for Health and Social Affairs.

[25] Sinclair, A., & Abdelhafiz, A. (2020). Cognitive dysfunction in older adults with type 2 diabetes: links, risks, and clinical implications.Clinics in Geriatric Medicine, 36(3), 407-417. https://doi.org/10.1016/j.cger.2020.04.002.

[26] Subramaniapillai, S., Almey, A., Rajah, M. N., et al. (2021) Sex and gender differences in cognitive and brain reserve: Implications for Alzheimer’s disease in women. Frontiers in Neuroendocrinology, 60, 100879. https://doi.org/10.1016/j.yfrne.2020.100879.

[27] Sui, S. X., Williams, L. J., Holloway-Kew KL., et al. (2020). Skeletal muscle health and cognitive function: a narrative review. International journal of molecular science, 22(1), 255. https://doi.org/10.3390/ijms22010255.

[28] United Nations(2020). World Population Ageing 2019.

[29] Van den Kommer, TN., Comijs, H. C., Aartsen, M. J., et al. (2013). Depression and cognition: How do they interrelate in old age? The American Journal of Geriatric Psychiatry, 21(4), 398-410. https://doi.org/10.1016/j.jagp.2012.12.015.

[30]Won, J. W. (2020). Diagnosis of sarcopenia in primary care. Journal of the Korean Medical Association/Taehan Uisa Hyophoe Chi, 63, 10. https://www.doi.org/10.5124/jkma.2020.63.10.633.

[31]World Health Organization, (2019). Risk reduction of cognitive decline and dementia: WHO Guideline. World Health Organization.

[32] Yesavage, J. A., Brink, T. L., Rose, T. L., et al. (1982). Development and validation of a geriatric depression screening scale: a preliminary report. Journal of psychiatric research. 1982;17:37-49. https://doi.org/10.1016/0022-3956(82)90033-4.

[33] Yuan, S., Larsson, S. C. (2023). Epidemiology of sarcopenia: Prevalence, risk factors, and consequences. Metabolism. https://doi.org/10.1016/j.metabol.2023.155533.