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Research Article

Associations Between Cognitive Function and Muscle Quality Among Community-Dwelling Older Adults: A Cross-Sectional Study

ORCID Icon, , , , ORCID Icon, , & show all
Received 08 Jul 2023, Accepted 20 Mar 2024, Published online: 04 Apr 2024

References

  • Alexandre, T. S., Duarte, Y. A. O., Santos, J. L. F., & Lebrão, M. L. (2019). Prevalence and associated factors of sarcopenia, dynapenia, and sarcodynapenia in community-dwelling elderly in São Paulo – SABE study [article in Portuguese, English]. Brazilian Journal of Epidemiology, 21(Suppl 02), e180009. doi:10.1590/1980-549720180009.supl.2
  • Arai, H., Takayama, T., & Takayama, Y. (2019). The manual for Japanese version of cognistat Five® 2015. Tokyo: World Planning.
  • Baumgartner, R. N., Koehler, K. M., Gallagher, D., Romero, L., Heymsfield, S. B., Ross, R. R., Garry P. J., & Lindeman, R. D. (1998). Epidemiology of sarcopenia among the elderly in New Mexico. American Journal of Epidemiology, 147(8), 755–763. doi:10.1093/oxfordjournals.aje.a009520
  • Beck, D., Lange, A. M. G., Alnæs, D., Maximov, I. I., Pedersen, M. L., Leinhard, O. D., Linge J., Simon R., Richard G., Ulrichsen K. M., & Westlye, L. T. (2022). Adipose tissue distribution from body MRI is associated with cross-sectional and longitudinal brain age in adults. NeuroImage Clinical, 33, 102949. doi:10.1016/j.nicl.2022.102949
  • Chen, L. K., Woo, J., Assantachai, P., Auyeung, T. W., Chou, M. Y., Iijima, K., & Arai, H. (2020). Asian working group for sarcopenia: 2019 consensus update on sarcopenia diagnosis and treatment. Journal of the American Medical Directors Association, 21(3), 300–307.e2. doi:10.1016/j.jamda.2019.12.012
  • Fujii, K., Fujii, Y., Kubo, Y., Tateoka, K., Liu, J., Nagata, K., & Okura, T. (2022). Frail older adults without occupational dysfunction maintain good subjective well-being: A cross-sectional study. Healthcare (Basel), 10(10), 1922. doi:10.3390/healthcare10101922
  • Guralnik, J. M., Simonsick, E. M., Ferrucci, L., Glynn, R. J., Berkman, L. F., Blazer, D. G., Scherr P. A., & Wallace, R. B. (1994). A short physical performance battery assessing lower extremity function: Association with self-reported disability and prediction of mortality and nursing home admission. Journal of Gerontology, 49(2), M85–94. doi:10.1093/geronj/49.2.m85
  • Huang, C. Y., Hwang, A. C., Liu, L. K., Lee, W. J., Chen, L. Y., Peng, L. N., Lin M. H., & Chen, L. K. (2016). Association of dynapenia, sarcopenia, and cognitive impairment among community-dwelling older Taiwanese. Rejuvenation Research, 19(1), 71–78. doi:10.1089/rej.2015.1710
  • Jeffreys, H. (1935). Some tests of significance, treated by the theory of probability. Mathematical Proceedings of the Cambridge Philosophical Society, 31(2), 203–222. doi:10.1017/S030500410001330X
  • Kass, R. E., & Raftery, A. E. (1995). Bayes factors. Journal of the American Statistical Association, 90(430), 773–795. doi:10.1080/01621459.1995.10476572
  • Kruschke, J. K. (2015). Doing bayesian data analysis: A tutorial with R, JAGS, and Stan (2nd ed.). New York: Elsevier Inc.
  • Li, C. W., Yu, K., Shyh-Chang, N., Jiang, Z., Liu, T., Ma, S., Luo L, Guang L, Liang K, Ma W, & Liu, G. S. (2022). Pathogenesis of sarcopenia and the relationship with fat mass: Descriptive review. Journal of Cachexia, Sarcopenia and Muscle, 13(2), 781–794. doi:10.1002/jcsm.12901
  • Manini, T. M., & Clark, B. C. (2012). Dynapenia and aging: An update. Journals of Gerontology: Series A, 67A(1), 28–40. doi:10.1093/gerona/glr010
  • Mateos-Angulo, A., Galán-Mercant, A., & Cuesta-Vargas, A. I. (2021). Muscle thickness and echo intensity by ultrasonography and cognitive and physical dimensions in older adults. Diagnostics (Basel), 11(8), 1471. doi:10.3390/diagnostics11081471
  • Matsuda, O., & Nakatani, M. (2004). Manual for Japanese version of the neurobehavioral cognitive status examination (COGNISTAT). Tokyo: World Planning.
  • Mehmet, H., Robinson, S. R., & Yang, A. W. H. (2020). Assessment of gait speed in older adults. Journal of Geriatric Physical Therapy, 43(1), 42–52. doi:10.1519/JPT.0000000000000224
  • Mijnarends, D. M., Meijers, J. M. M., Halfens, R. J. G., Borg, S., Luiking, Y. C., Verlaan, S., Schoberer D., Jentoft A. J., van Loon L. J., & Schols, J. M. G. A. (2013). Validity and reliability of tools to measure muscle mass, strength, and physical performance in community-dwelling older people: A systematic review. Journal of the American Medical Directors Association, 14(3), 170–178. doi:10.1016/j.jamda.2012.10.009
  • Murakami, H., Kawakami, R., Nakae, S., Yamada, Y., Nakata, Y., Ohkawara, K., Sasai H., Ishikawa-Takata K., Tanaka S., & Miyachi, M. (2019). Accuracy of 12 wearable devices for estimating physical activity energy expenditure using a metabolic chamber and the doubly labeled water method: Validation study. JMIR mHealth and uHealth, 7(8), e13938. doi:10.2196/13938
  • Nagase, T., & Tohda, C. (2021). Skeletal muscle atrophy-induced hemopexin accelerates onset of cognitive impairment in Alzheimer’s disease. Journal of Cachexia, Sarcopenia and Muscle, 12(6), 2199–2210. doi:10.1002/jcsm.12830
  • Ozechowski, T. J. (2014). Empirical Bayes MCMC estimation for modeling treatment processes, mechanisms of change, and clinical outcomes in small samples. Journal of Consulting and Clinical Psychology, 82(5), 854–867. doi:10.1037/a0035889
  • Peduzzi, P., Concato, J., Feinstein, A. R., & Holford, T. R. (1995). Importance of events per independent variable in proportional hazards regression analysis. II. Accuracy and precision of regression estimates. Journal of Clinical Epidemiology, 48(12), 1503–1510. doi:10.1016/0895-4356(95)00048-8
  • Sasaki, J. E., Júnior, J. H., Meneguci, J., Tribess, S., Júnior, M. M., Neto, A. S., & Júnior, J. S. V. (2018). Number of days required for reliably estimating physical activity and sedentary behaviour from accelerometer data in older adults. Journal of Sports Sciences, 36(14), 1572–1577. doi:10.1080/02640414.2017.1403527
  • Someya, Y., Tamura, Y., Kaga, H., Sugimoto, D., Kadowaki, S., Suzuki, R., & Watada, H. (2022). Sarcopenic obesity is associated with cognitive impairment in community-dwelling older adults: The Bunkyo health study. Clinical Nutrition, 41(5), 1046–1051. doi:10.1016/j.clnu.2022.03.017
  • Sui, S. X., Williams, L. J., Holloway-Kew, K. L., Hyde, N. K., & Pasco, J. A. (2020). Skeletal muscle health and cognitive function: A narrative review. International Journal of Molecular Sciences, 22(1), 255. doi:10.3390/ijms22010255
  • Takayama, T., Takayama, Y., Shibata, N., Nakata, T., Toda, A., Ohno, K., & Arai, H. (2019). A study of the reliability, validity and availability of the Japanese version of cognistat five [article in Japanese, Japanese]. Japanese Journal of Geriatric Psychiatry, 30, 785–793.
  • von Elm, E., Altman, D. G., Egger, M., Pocock, S. J., Gøtzsche, P. C., & Vandenbroucke, J. P. (2007). The strengthening the reporting of observational studies in epidemiology (STROBE) statement: Guidelines for reporting observational studies. The Lancet, 370(9596), 1453–1457. doi:10.1016/S0140-6736(07)61602-X
  • Watanabe, Y., Yamada, Y., Fukumoto, Y., Ishihara, T., Yokoyama, K., Yoshida, T., & Kimura, M. (2013). Echo intensity obtained from ultrasonography images reflecting muscle strength in elderly men. Clinical Interventions in Aging, 8, 993e998. doi:10.2147/CIA.S47263
  • Wiederman, M. W., & Morgan, C. D. (1995). The neurobehavioral cognitive status exam (NCSE) with geriatric inpatients. Clinical Gerontologist, 15(4), 35–47. doi:10.1300/J018v15n04_04
  • Yamada, M., Kimura, Y., Ishiyama, D., Nishio, N., Abe, Y., Kakehi, T., & Fujimoto, J. (2017). Differential characteristics of skeletal muscle in community-dwelling older adults. Journal of the American Medical Directors Association, 18(9)., 807.e9–807.e16. doi:10.1016/j.jamda.2017.05.011
  • Yamada, R., Tsuruta, T., Todo, Y., Kurosu, H., Minowa, K., Minobe, S., Matsumiya H., Kato H., Mori Y., & Osanai, T. (2021). Validity of skeletal muscle mass index measurements for assessing sarcopenia in patients with gynecological cancer. Japanese Journal of Clinical Oncology, 51(10), 1534–1540. doi:10.1093/jjco/hyab116
  • Yamada, Y., Hashii-Arishima, Y., Yokoyama, K., Itoi, A., Adachi, T., & Kimura, M. (2018). Validity of a triaxial accelerometer and simplified physical activity record in older adults aged 64-96 years: A doubly labeled water study. European Journal of Applied Physiology, 118(10), 2133–2146. doi:10.1007/s00421-018-3944-6
  • Yamada, Y., Yokoyama, K., Noriyasu, R., Osaki, T., Adachi, T., Itoi, A., Naito Y, Morimoto T, Kimura M, & Oda, S. (2009). Light-intensity activities are important for estimating physical activity energy expenditure using uniaxial and triaxial accelerometers. European Journal of Applied Physiology, 105(1), 141–152. doi:10.1007/s00421-008-0883-7
  • Yamada, Y., Yoshida, T., Yokoyama, K., Watanabe, Y., Miyake, M., Yamagata, E., Yamada M., & Kimura, M. (2017). The extracellular to intracellular water ratio in upper legs is negatively associated with skeletal muscle strength and gait speed in older people. The Journals of Gerontology Series A, Biological Sciences and Medical Sciences, 72(3), 293–298. doi:10.1093/gerona/glw125

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