Yunlong Xu
ABSTRACT
Cognitive and functional impairment seriously affect the physical health of the elderly. Many factors such as demography and lifestyle will increase the risk of both. In recent years, visual impairment (VI) has received increasing attention as a risk factor for cognitive impairment and functional disability. Currently, interdisciplinary research in geriatrics and eye care has begun to prioritize understanding and improving function in older adults with VI. However, there is no systematic study on the interaction effect of visual impairment and other health factors on the function of the elderly. In this study, we used CLHLS 2018 follow-up data to identify risk factors affecting cognition and function in older adults by multivariate logistic regression. Then we analyzed whether there is an interactive effect that affects cognition and function when bad living habits and visual impairment coexist. Our findings suggest that advanced age, low intake of fruit and vegetables, and visual impairment are risk factors for cognitive and functional impairment. In addition, when poor eating habits and impaired visual function coexist, the risk of cognitive and functional impairment in the elderly increases. Therefore, the elderly with poor visual function should develop good eating habits at ordinary times to help reduce the risk of cognitive impairment and functional disability.
- Evandro F. Fang, Chenglong Xie and Joseph A. Schenkel. 2020. A research agenda for ageing in China in the 21st century (2nd edition): Focusing on basic and translational research, long-term care, policy and social networks. Ageing Res Rev 64, (September 2020), 101174. https://doi.org/10.1016/j.arr.2020.101174.Google Scholar
- Jianping Jia, Fen Wang and Cuibai Wei. 2014. The prevalence of dementia in urban and rural areas of China. Alzheimers Dement 10, 1 (July 2014), 1-9. https://doi.org/10.1016/j.jalz.2013.01.012.Google ScholarCross Ref
- Longfei Jia, Meina Quan and Yue Fu. 2020. Dementia in China: epidemiology, clinical management, and research advances. Lancet Neurol 19, 1 (September 2019), 81-92. https://doi.org/10.1016/S1474-4422(19)30290-X.Google ScholarCross Ref
- Yueqin Huang,Yu Wang and Hong Wang. 2019. Prevalence of mental disorders in China: a cross-sectional epidemiological study. Lancet Psychiatry 6, 3 (February 2019), 211-224. https://doi.org/10.1016/S2215-0366(18)30511-X.Google Scholar
- Matthew Baumgart, Heather M. Snyder and Maria C. Carrillo. 2015. Summary of the evidence on modifiable risk factors for cognitive decline and dementia: A population-based perspective. Alzheimers Dement 11, 6 (June 2015), 718-726. https://doi.org/10.1016/j.jalz.2015.05.016.Google ScholarCross Ref
- Prof Gill Livingston, ,Andrew Sommerlad and Vasiliki Orgeta. 2017. Dementia prevention, intervention, and care. Lancet 390, 10113 (July 2017), 2673-2734. https://doi.org/10.1016/S0140-6736(17)31363-6.Google ScholarCross Ref
- Rong Peng, Bei Wu. 2015. Changes of Health Status and Institutionalization Among Older Adults in China. J Aging Health 27, 7 (April 2015), 1223-1246. https://doi.org/10.1177/0898264315577779.Google ScholarCross Ref
- Bret R. Rutherford, Katharine Brewster and Justin S. Golub. 2018. Sensation and Psychiatry: Linking Age-Related Hearing Loss to Late-Life Depression and Cognitive Decline. Am J Psychiatry 175, 3 (December 2018), 215-224. https://doi.org/10.1176/appi.ajp.2017.17040423.Google ScholarCross Ref
- D. Diane Zheng, Bonnielin K. Swenor and Sharon L. Christ. 2018. Longitudinal Associations Between Visual Impairment and Cognitive Functioning: The Salisbury Eye Evaluation Study. JAMA Ophthalmol 136, 9 (June 2018), 989-995. https://doi.org/10.1001/jamaophthalmol.2018.2493.Google ScholarCross Ref
- Rupert R A Bourne, Seth R Flaxman and Tasanee Braithwaite. 2017. Magnitude, temporal trends, and projections of the global prevalence of blindness and distance and near vision impairment: a systematic review and meta-analysis. Lancet Glob Health 5, 9 (August 2017), e888-e897. https://doi.org/10.1016/S2214-109X(17)30293-0.Google ScholarCross Ref
- Jialiang Zhao, Xiao Xu and Leon B. Ellwein. 2018. Prevalence of Vision Impairment in Older Adults in Rural China in 2014 and Comparisons With the 2006 China Nine-Province Survey. Am J Ophthalmol 185, (November 2017), 81-93. https://doi.org/10.1016/j.ajo.2017.10.016.Google Scholar
- Bonnielin K Swenor, Jiangxia Wang and Varshini Varadaraj. 2019. Vision Impairment and Cognitive Outcomes in Older Adults: The Health ABC Study. J Gerontol A Biol Sci Med Sci 74, 9 (October 2019), 1454-1460. https://doi.org/10.1093/gerona/gly244.Google Scholar
- Guiying Cao, Kaipeng Wang and Ling Han. 2021. Visual trajectories and risk of physical and cognitive impairment among older Chinese adults. J Am Geriatr Soc 69, 10 (June 2021), 2877-2887. https://doi.org/10.1111/jgs.17311.Google ScholarCross Ref
- Qiushi Feng, Haiyan Zhu and Zhihong Zhen. 2016. Self-Rated Health, Interviewer-Rated Health, and Their Predictive Powers on Mortality in Old Age. J Gerontol B Psychol Sci Soc Sci 71, 3 (January 2015), 538-550. https://doi.org/10.1093/geronb/gbu186.Google ScholarCross Ref
- Daniela Balzi, Fulvio Lauretani and Alessandro Barchielli. 2010. Risk factors for disability in older persons over 3-year follow-up. Age Ageing 39, 1 (November 2009), 92-98. https://doi.org/10.1093/ageing/afp209.Google ScholarCross Ref
- Julianne Ballard, Mary Mooney and Orla Dempsey. 2013. Prevalence of frailty-related risk factors in older adults seen by community nurses. J Adv Nurs 69, 3 (June 2012), 675-684. https://doi.org/10.1111/j.1365-2648.2012.06054.x.Google ScholarCross Ref
- Heather E. Whitson, Alice Cronin-Golomb and Karen J. Cruickshanks. 2018. American Geriatrics Society and National Institute on Aging Bench-to-Bedside Conference: Sensory Impairment and Cognitive Decline in Older Adults. J Am Geriatr Soc 66, 11 (September 2018), 2052-2058. https://doi.org/10.1111/jgs.15506.Google Scholar
- Mary E. Fischer, Karen J. Cruickshanks and Barbara E.K. Klein. 2009. Multiple sensory impairment and quality of life. Ophthalmic Epidemiol 16, 6 (December 2009), 346-353. https://doi.org/10.3109/09286580903312236.Google ScholarCross Ref
Recommendations
Robot services for elderly with cognitive impairment: Testing usability of graphical user interfaces
BACKGROUND: Socially assistive robotics for elderly care is a growing field. However, although robotics has the potential to support elderly in daily tasks by offering specific services, the development of usable interfaces is still a challenge. Since ...
Modelling cognitive impairment to improve universal access
UAHCI'11: Proceedings of the 6th international conference on Universal access in human-computer interaction: users diversity - Volume Part IIThe purpose of this study is to develop a model of cognitive impairment to help designers consider the range of issues which affect the lives of people living with such impairment. A series of interviews with experts of cognitive impairment was ...
Opportunistic sensing and detection of mild cognitive impairment
PETRA '14: Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive EnvironmentsDementia is a growing healthcare problem, and it has become necessary to find a way to reduce the prevalence of this disease. Mild cognitive impairment is a risk factor for dementia, and being able to detect the onset of mild cognitive impairment gives ...
Comments