Strategies for Reducing Age-Related Decline in Eye-Hand Coordination among the Elderly
Main Article Content
Abstract
In an era where the global population of older adults is rapidly increasing, maintaining precise motor control and eye-hand coordination (EHC) is a crucial factor for independent living among the elderly. The decline of EHC associated with aging is linked to changes in the visual system, muscles, and nervous system. It significantly affects both the physical and mental aspects of the elderly. This review article aims to systematically compile, analyze, and present strategies to mitigate EHC deterioration. These strategies include comprehensive exercise programs that improve strength, flexibility, balance, and aerobic; cognitive training to stimulate brain function; the use of virtual reality (VR) to simulate real-life practice scenarios; environmental modifications to enhance safety; and the application of digital technologies such as exergames to increase motivation for training. When these strategies were appropriately combined, they can help slow the decline of EHC skills, reduce the risk of falls, boost confidence in daily living, and sustainably enhance the quality of life for the elderly.
Highlights
• This review summarizes age-related decline in eye-hand coordination caused by visual, musculoskeletal, and neurological changes in older adults.
• Combined physical exercise and cognitive training effectively slow eye-hand coordination deterioration.
• Virtual reality-based exergames provide safe, engaging, and adaptable visuomotor training for older adults.
• Integrated and interdisciplinary approaches support sustainable eye-hand coordination and overall well-being in aging populations.
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright: CC BY-NC-ND 4.0
References
Anguera, J. A., Boccanfuso, J., Rintoul, J. L., Al-Hashimi, O., Faraji, F., Janowich, J., & Gazzaley, A. (2013). Video game training enhances cognitive control in older adults. Nature, 501(7465), 97-101.
Asiamah, N., Bateman, A., Hjorth, P., Khan, H. T. A., & Danquah, E. (2023). Socially active neighborhoods: Construct operationalization for aging in place, health promotion and psychometric testing. Health Promotion International, 38(1), daac191.
Bamidis, P. D., Vivas, A. B., Styliadis, C., Frantzidis, C., Klados, M., Schlee, W., & Papageorgiou, S. G. (2014). A review of physical and cognitive interventions in aging. Neuroscience & Biobehavioral Reviews, 44, 206-220.
Burgos, L., Figueroa, J. M., & Cárdenas, D. (2020). Age-related differences in visual-motor coordination: A cross-sectional study. Frontiers in Aging Neuroscience, 12, 94.
Canli, T., Canli, U., Takın, C., & Aldhahi, M. I. (2023). Motor coordination in primary school students: The role of age, sex, and physical activity participation in Turkey. Children, 10(9), 1524.
Chen, K. M., Tseng, W. S., Tseng, W. C., & Ting, L. F. (2020). Effects of a yoga program on physical performance, depression, and self-perceived health status in older adults: A randomized controlled trial. International Journal of Environmental Research and Public Health, 17(21), 7819.
Cohen, A., Popowitz, J., Crowley-Perry, M., Rowe, C. J., & Connaughton, V. (2022). The role of estrogen and thyroid hormones in zebrafish visual system function. Frontiers in Pharmacology, 13, 837687.
Coletta, G., & Phillips, S. M. (2023). An elusive consensus definition of sarcopenia impedes research and clinical treatment: A narrative review. Ageing Research Reviews, 86, 101883.
Colcombe, S., & Kramer, A. F. (2003). Fitness effects on the cognitive function of older adults: A meta-analytic study. Psychological Science, 14(2), 125-130.
Diamond, A., Silverstein, S. M., & Keane, B. P. (2022). Visual system assessment for predicting a transition to psychosis. NPJ Schizophrenia, 8(1), 1-10.
Fede, C., Fan, C., Pirri, C., Petrelli, L., Biz, C., Porzionato, A., Macchi, V., De Caro, R., & Stecco, C. (2022). The effects of aging on the intramuscular connective tissue. International Journal of Molecular Sciences, 23(19), 11061.
Granacher, U., Gollhofer, A., Hortobágyi, T., Kressig, R. W., & Muehlbauer, T. (2011). The importance of trunk muscle strength for balance, functional performance, and fall prevention in seniors: A systematic review. Sports Medicine, 43(7), 627-641.
Gustafsson, T., & Ulfhake, B. (2024). Aging skeletal muscles: What are the mechanisms of age-related loss of strength and muscle mass, and can we impede its development and progression? International Journal of Molecular Sciences, 25(20), 10932.
Hillman, C. H., Erickson, K. I., & Kramer, A. F. (2008). Be smart, exercise your heart: Exercise effects on brain and cognition. Nature Reviews Neuroscience, 9(1), 58-65.
Hunter, G. R., McCarthy, J. P., & Bamman, M. M. (2016). Effects of resistance training on older adults. Sports Medicine, 44(2), 119-128.
Kamnardsiri, T., Phirom, K., Boripuntakul, S., & Sungkarat, S. (2021). An interactive physical-cognitive game-based training system using Kinect for older adults: Development and usability study. JMIR Serious Games, 9(3), e27848.
Kantawala, B., Ramadan, N., Hassan, Y., Fawaz, V., Mugisha, N., Nazir, A., Wojtara, M., & Uwishema, O. (2023). Physical activity intervention for the prevention of neurological diseases. Health Science Reports, 6(2), e1524.
Khundam, C., & Noël, F. (2021). A study of physical fitness and enjoyment on virtual running for exergames. Journal of Computer Games Technology, 2021, 6668280.
Kim, J., Son, J., Ko, N., & Yoon, B. (2019). Unsupervised virtual reality-based exercise program improves hip muscle strength and balance control in older adults: A randomized controlled pilot study. Archives of Gerontology and Geriatrics, 85, 103912.
Koulouris, D., Menychtas, A., & Maglogiannis, I. (2022). An IoT-enabled platform for the assessment of physical and mental activities utilizing augmented reality exergaming. Sensors, 22(9), 3181.
Marzola, P. E. R., Melzer, T. M., Pavesi, E., Gil-Mohapel, J., & Brocardo, P. S. (2023). Exploring the role of neuroplasticity in development, aging, and neurodegeneration. Brain Sciences, 13(12), 1610.
McIntosh, V. (2022). Dialing up the danger: Virtual reality for the simulation of risk. Frontiers in Virtual Reality, 3, 909984.
Mehrabi, S., Muñoz, J., Basharat, A., Boger, J., Cao, S., Barnett-Cowan, M., & Middleton, L. E. (2022). Immersive virtual reality exergames to promote the well-being of community-dwelling older adults: Protocol for a mixed methods pilot study. JMIR Research Protocols, 11(6), e32955.
Mnea, A., & Zairul, M. (2023). Evaluating the impact of housing interior design on elderly independence and activity: A thematic review. Buildings, 13(4), 1099.
Moyen-Sylvestre, B., Goubault, É., Begon, M., Côté, J. N., Bouffard, J., & Dal Maso, F. (2022). Power spectrum of acceleration and angular velocity signals as indicators of muscle fatigue during upper limb low-load repetitive tasks. Sensors, 22(20), 8008.
Pascual, U., Balvanera, P., Anderson, C. B., Chaplin-Kramer, R., Christie, M., González-Jiménez, D., Zent, E. (2023). Diverse values of nature for sustainability. Nature, 620(7973), 1-8.
Seer, C., Adab, H. Z., Sidlauskaite, J., Dhollander, T., Chalavi, S., Gooijers, J., Sunaert, S., & Swinnen, S. (2022). Bridging cognition and action: Executive functioning mediates the relationship between white matter fiber density and complex motor abilities in older adults. Aging, 14(3), 1140-1160.
Seidler, R. D., Bernard, J. A., Burutolu, T. B., Fling, B. W., Gordon, M. T., Gwin, J. T., &Lipps, D. B. (2010). Motor control and aging: Links to age-related brain structural, functional, and biochemical effects. Neuroscience & Biobehavioral Reviews, 34(5), 721-733.
Shah, S. H. H., Karlsen, A., Solberg, M., & Hameed, I. A. (2022). A social VR-based collaborative exergame for rehabilitation: Codesign, development and user study. Virtual Reality, 26(3), 451-468.
Si, Q. Y., Vivien, X. W., & Ying, J. (2024). Experiences of older adults participating in dance exergames: A systematic review and meta-synthesis. International Journal of Nursing Studies, 146, 104696.
Stanmore, E., Mavroeidi, A., De Jong, L. D., Skelton, D. A., Sutton, C. J., Benedetto, V., & Todd, C. (2017). The effectiveness and cost-effectiveness of strength and balance Exergames to reduce falls risk for people aged 55 years and older in UK assisted living facilities: A multi-centre, cluster randomised controlled trial. BMC Medicine, 15(1), 1-16.
Voelcker-Rehage, C., & Alberts, J. L. (2007). Effect of motor practice on dual-task performance in older adults. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 62(3), P141-P148.
Voelcker-Rehage, C., Godde, B., & Staudinger, U. M. (2011). Physical and motor fitness are both related to cognition in old age. European Journal of Neuroscience, 33(1), 167-176.
World Health Organization. (2022). Ageing and health. Retrieved from https://www.who.int/news-room/fact-sheets/detail/ageing-and-health
Xu, W., Liang, H., Yu, K., Wen, S., Baghaei, N., & Tu, H. (2022). Acceptance of virtual reality exergames among Chinese older adults. International Journal of Human–Computer Interaction, 38(15), 1431-1443.
Yeung, A. W. K., et al. (2021). Virtual and augmented reality applications in medicine: Analysis of the scientific literature. JMIR Serious Games, 9(2), e25499.
Zhang, J., Chen, H., Duan, X., Sun, H., & Wang, S. (2023). Photothermal catalysis: From fundamentals to practical applications. Materials Today, 66, 48-69.