Trajectories and influencing factors of cognitive function and physical disability in Chinese older people

被引:4
作者
Cheng, Shuyuan [1 ,2 ]
Yin, Rong [3 ]
Wu, Kunpeng [3 ]
Wang, Qiong [4 ]
Zhang, Hui [5 ]
Ling, Li [3 ]
Chen, Wen [3 ]
Shi, Leiyu [6 ]
机构
[1] Sun Yat Sen Univ, Affiliated Hosp 1, Int Cooperat & Exchange Dept, Guangzhou, Peoples R China
[2] Johns Hopkins Univ, Dept Hlth Policy & Management, Bloomberg Sch Publ Hlth, Baltimore, MD USA
[3] Sun Yat Sen Univ, Sch Publ Hlth, Dept Med Stat, Guangzhou, Peoples R China
[4] Sun Yat sen Univ, Sch Publ Hlth, Dept Epidemiol, Guangzhou, Peoples R China
[5] Sun Yat Sen Univ, Sch Publ Hlth, Dept Hlth Policy & Management, Guangzhou, Peoples R China
[6] Johns Hopkins Univ, Bloomberg Sch Publ Hlth, Dept Hlth Policy & Management, Baltimore, MD 21205 USA
基金
中国国家自然科学基金;
关键词
disability; cognitive function; aging; development trajectory; influencing factors; LATER LIFE; DECLINE; DEMENTIA; IMPAIRMENT; ADULTS; MORTALITY; EDUCATION; TRENDS; MODEL; STATE;
D O I
10.3389/fpubh.2024.1380657
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Introduction Dementia and physical disability are serious problems faced by the aging population, and their occurrence and development interact.Methods Based on data from a national cohort of Chinese people aged 60 years and above from the China Health and Retirement Longitudinal Survey from 2011 to 2018, we applied the group-based trajectory model to identify the heterogeneous trajectories of cognitive function and physical disability in participants with different physical disability levels. Next, multinomial logistic regression models were used to explore the factors affecting these trajectories.Results The cognitive function trajectories of the Chinese older people could be divided into three characteristic groups: those who maintained the highest baseline level of cognitive function, those with a moderate baseline cognitive function and dramatic progression, and those with the worst baseline cognitive function and rapid-slow-rapid progression. The disability trajectories also fell into three characteristic groups: a consistently low baseline disability level, a low initial disability level with rapid development, and a high baseline disability level with rapid development. Compared with those free of physical disability at baseline, a greater proportion of participants who had physical disability at baseline experienced rapid cognitive deterioration. Education, income, type of medical insurance, gender, and marital status were instrumental in the progression of disability and cognitive decline in the participants.Discussion We suggest that the Chinese government, focusing on the central and western regions and rural areas, should develop education for the older people and increase their level of economic security to slow the rate of cognitive decline and disability among this age group. These could become important measures to cope with population aging.
引用
收藏
页数:12
相关论文
共 85 条
[1]   State of the science on mild cognitive impairment (MCI) [J].
Anderson, Nicole D. .
CNS SPECTRUMS, 2019, 24 (01) :78-87
[2]  
[Anonymous], 2022, Ageing and Health
[3]   Trajectories of cognitive decline and social relations [J].
Béland, F ;
Zunzunegui, MV ;
Alvarado, B ;
Otero, A ;
del Ser, T .
JOURNALS OF GERONTOLOGY SERIES B-PSYCHOLOGICAL SCIENCES AND SOCIAL SCIENCES, 2005, 60 (06) :P320-P330
[4]   Studying at university in later life slows cognitive decline: A long-term prospective study [J].
Bindoff, Aidan D. ;
Summers, Mathew J. ;
Hill, Edward ;
Alty, Jane ;
Vickers, James C. .
ALZHEIMERS & DEMENTIA-TRANSLATIONAL RESEARCH & CLINICAL INTERVENTIONS, 2021, 7 (01)
[5]   Visual trajectories and risk of physical and cognitive impairment among older Chinese adults [J].
Cao, Guiying ;
Wang, Kaipeng ;
Han, Ling ;
Zhang, Qin ;
Yao, Shanshan ;
Chen, Zishuo ;
Huang, Ziting ;
Luo, Yan ;
Hu, Yonghua ;
Xu, Beibei .
JOURNAL OF THE AMERICAN GERIATRICS SOCIETY, 2021, 69 (10) :2877-2887
[6]   Investigating Predictors of Cognitive Decline Using Machine Learning [J].
Casanova, Ramon ;
Saldana, Santiago ;
Lutz, Michael W. ;
Plassman, Brenda L. ;
Kuchibhatla, Maragatha ;
Hayden, Kathleen M. .
JOURNALS OF GERONTOLOGY SERIES B-PSYCHOLOGICAL SCIENCES AND SOCIAL SCIENCES, 2020, 75 (04) :733-742
[7]   Trajectories of cognitive decline over 10 years in a Brazilian elderly population: the Bambui Cohort Study of Aging [J].
Castro-Costa, Erico ;
Dewey, Michael E. ;
Uchoa, Elizabeth ;
Firmo, Joselia O. A. ;
Lima-Costa, Maria Fernanda ;
Stewart, Robert .
CADERNOS DE SAUDE PUBLICA, 2011, 27 :S345-S350
[8]  
Chen TY, 2016, SCI REP-UK, V6, DOI [10.1038/srep20001, 10.1038/srep24253, 10.1038/srep33486, 10.1038/srep20335]
[9]   Differing determinants of disability trends among men and women aged 50 years and older [J].
Chen, Ya-Mei ;
Chiang, Tung-Liang ;
Chen, Duan-Rung ;
Tu, Yu-Kang ;
Yu, Hsiao-Wei ;
Chiu, Wan-Yu .
BMC GERIATRICS, 2022, 22 (01)
[10]   Leisure time activities as mediating variables in functional disability progression: An application of parallel latent growth curve modeling [J].
Chen, Ya-Mei ;
Tu, Yu-Kang ;
Yu, Hsiao-Wei ;
Chiu, Tzu-Ying ;
Chiang, Tung-Liang ;
Chen, Duan-Rung ;
Chang, Ray-E .
PLOS ONE, 2018, 13 (10)