https://doi.org/10.4081/gc.2024.12670
Association between decreased walking speed and higher-level functional capacity in community-dwelling older women
Submitted: 16 May 2024
Accepted: 2 August 2024
Published: 24 September 2024
Accepted: 2 August 2024
Abstract Views: 116
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
This study aimed to investigate the relationship between walking speed and higher-level functional capacity in community-dwelling older women. Data were collected from 91 healthy Japanese women aged ≥65 years (mean age, 78.7 years) in Ibaraki City, Osaka Prefecture. Participants’ higher-level functional capacity was assessed using the Japan Science and Technology Agency Index of Competence (JST-IC). Participants were categorized into two groups based on walking speed (faster or slower than 1.0 m/s). Logistic regression analysis revealed that grip strength [odds ratio (OR): 0.84; 95% confidence interval (CI): 0.713-0.992], the total JST-IC score (OR: 0.82; 95% CI: 0.675-0.997), and the JST-IC subscale for use of technology (OR: 0.54, 95% CI: 0.309-0.958) were significant factors associated with decreased walking speed. The decreased walking speed observed among community-dwelling older women was related to cognitive aspects such as processing and spatial perception, as well as the use of technology. Maintaining physical and cognitive functions, particularly hand function, is crucial for preserving or improving walking speed, a barometer of health.
Middleton SL, Fritz S, Lusardi M. Walking speed: the functional vital sign. J Aging Phys Act 2015;23:314-22.
DOI: https://doi.org/10.1123/japa.2013-0236
Ostir GV, Kuo YF, Berges IM, et al. Measures of lower body function and risk of mortality over 7 years of follow-up. Am J Epidemiol 2007;166:599-605.
DOI: https://doi.org/10.1093/aje/kwm121
Chen LK, Woo J, Assantachai P, et al. Asian Working Group for Sarcopenia: 2019 consensus update on sarcopenia diagnosis and treatment. J Am Med Dir Assoc 2020;21:300-7.e2.
DOI: https://doi.org/10.1016/j.jamda.2019.12.012
Satake S, Arai H. The revised Japanese version of the cardiovascular health study criteria (revised J-CHS criteria). Geriatr Gerontol Int 2020;20:992-3.
DOI: https://doi.org/10.1111/ggi.14005
Fried LP, Tangen CM, Walston J, et al. Frailty in older adults: evidence for a phenotype. J Gerontol A Biol Sci Med Sci 2001;56:M146-56.
DOI: https://doi.org/10.1093/gerona/56.3.M146
Vermeulen J, Neyens JC, van Rossum E, et al. Predicting ADL disability in community-dwelling elderly people using physical frailty indicators: a systematic review. BMC Geriatr 2011;11:33.
DOI: https://doi.org/10.1186/1471-2318-11-33
Perera S, Patel KV, Rosano C, et al. Gait speed predicts incident disability: a pooled analysis. J Gerontol A Biol Sci Med Sci 2016;71:63-71.
DOI: https://doi.org/10.1093/gerona/glv126
Quach L, Galica AM, Jones RN, et al. The nonlinear relationship between gait speed and falls: the maintenance of balance, independent living, intellect, and zest in the elderly of Boston study. J Am Geriatr Soc 2011;59:1069-1073.
DOI: https://doi.org/10.1111/j.1532-5415.2011.03408.x
Middleton A, Fulk GD, Herter TM, et al. Self-selected and maximal walking speeds provide greater insight into fall status than walking speed reserve among community-dwelling older adults. Am J Phys Med Rehabil 2016;95:475-482.
DOI: https://doi.org/10.1097/PHM.0000000000000488
Dumurgier J, Artaud F, Touraine C, et al. Gait speed and decline in gait speed as predictors of incident dementia. J Gerontol A Biol Sci Med Sci 2017;72:655-61.
DOI: https://doi.org/10.1093/gerona/glw110
Abellan van Kan G, Rolland Y, Gillette-Guyonnet S, et al. Gait speed, body composition, and dementia. The EPIDOS-Toulouse cohort. J Gerontol A Biol Sci Med Sci 2012;67:425-32.
DOI: https://doi.org/10.1093/gerona/glr177
Abellan van Kan G, Rolland Y, Andrieu Y, et al. Gait speed at usual pace as a predictor of adverse outcomes in community-dwelling older people an International Academy on Nutrition and Aging (IANA) task force. J Nutr Health Aging 2009;13:881-9.
DOI: https://doi.org/10.1007/s12603-009-0246-z
Lawton MP. Assessing the competence of older people. In: Kent DP, Kastenbaum R, Sherwood S, eds. Research, planning, and action for elderly: the power and potential of social science. New York, USA: Behavioral Publications; 1972. pp 122-43.
Iwasa H, Masui Y, Inagaki H, et al. Development of the Japan science and technology agency index of competence to assess functional capacity in older adults: conceptual definitions and preliminary items. Gerontol Geriatr Med 2015;1:2333721415609490.
DOI: https://doi.org/10.1177/2333721415609490
Iwasa H, Masui Y, Inagaki H, et al. Assessing competence at a higher level among older adults: development of the Japan science and technology agency index of competence (JST-IC). Aging Clin Exp Res 2018;30:383-93.
DOI: https://doi.org/10.1007/s40520-017-0786-8
Kameyama K, Tsutou A, Fujino H. The relationship between health-related quality of life and higher-level functional capacity in elderly women with mild cognitive impairment. J Phys Ther Sci 2016;28:1312-7.
DOI: https://doi.org/10.1589/jpts.28.1312
Ko SU, Tolea MI, Hausdorff JM, Ferrucci L. Sex-specific differences in gait patterns of healthy older adults: results from the Baltimore longitudinal study of aging. J Biomech 2011;44:1974-9.
DOI: https://doi.org/10.1016/j.jbiomech.2011.05.005
Fukutomi E, Okumiya K, Wada T, et al. Relationships between each category of 25-item frailty risk assessment (Kihon Checklist) and newly certified older adults under long-term care insurance: a 24-month follow-up study in a rural community in Japan. Geriatr Gerontol Int 2015;15:864-71.
DOI: https://doi.org/10.1111/ggi.12360
Isen J, McGue M, Iacono W. Genetic influences on the development of grip strength in adolescence. Am J Phys Anthropol 2014;154:189-200.
DOI: https://doi.org/10.1002/ajpa.22492
Muir-Hunter SW, Clark J, McLean S, et al. Identifying balance and fall risk in community-dwelling older women: the effect of executive function on postural control. Physiother Can 2014;66:179-86.
DOI: https://doi.org/10.3138/ptc.2013-16
Shoji T, Fujii Y, Tateoka K, et al. The association of the Japan science and technology agency index of competence with physical and cognitive function in community-dwelling older adults. Geriatr Gerontol Int 2022;22:753-8.
DOI: https://doi.org/10.1111/ggi.14448
Suzuki T. Health status of older adults living in the community in Japan: recent changes and significance in the super-aged society. Geriatr Gerontol Int 2018;18:667-77.
DOI: https://doi.org/10.1111/ggi.13266
Karimov J, Ozbayoglu M, Tavli B, Dogdu E. Menu optimization for multi-profile customer systems on large scale data. Comput Econ 2022;60:221-42.
DOI: https://doi.org/10.1007/s10614-021-10147-0
Zhou J, Rau PLP, Salvendy G. Use and design of handheld computers for older adults: a review and appraisal. Int J Hum Comput Interact 2012;28:799-826.
DOI: https://doi.org/10.1080/10447318.2012.668129
Saho K, Uemura K, Fujimoto M, Matsumoto M. Evaluation of higher-level instrumental activities of daily living via micro-doppler radar sensing of sit-to-stand-to-sit movement. IEEE J Transl Eng Health Med 2020;8:2100211.
DOI: https://doi.org/10.1109/JTEHM.2020.2964209
Ziefle M, Bay S. How to overcome disorientation in mobile phone menus: a comparison of two different types of navigation aids. Hum-Comput Interact 2006;21:393-433.
DOI: https://doi.org/10.1207/s15327051hci2104_2
Gale CR, Allerhand M, Sayer AA, et al. The dynamic relationship between cognitive function and walking speed: the English longitudinal study of ageing. Age 2014;36:9682.
DOI: https://doi.org/10.1007/s11357-014-9682-8
Eimer M. Multisensory integration: how visual experience shapes spatial perception. Curr Biol 2004;14:R115-7.
DOI: https://doi.org/10.1016/S0960-9822(04)00033-8
Kitanishi T, Umaba R, Mizuseki K. Robust information routing by dorsal subiculum neurons. Sci Adv 2021;7:eabf1913.
DOI: https://doi.org/10.1126/sciadv.abf1913
Anson E, Pineault K, Bair W, et al. Reduced vestibular function is associated with longer, slower steps in healthy adults during normal speed walking. Gait Posture 2019;68:340-5.
DOI: https://doi.org/10.1016/j.gaitpost.2018.12.016
How to Cite
Ando, S., Iwamura, M., Yamato, Y., Shinbo, K., & Nanikawa, W. (2024). Association between decreased walking speed and higher-level functional capacity in community-dwelling older women. Geriatric Care, 10(1). https://doi.org/10.4081/gc.2024.12670
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