A longitudinal study of factors associated with cognitive frailty in middle-aged and elderly population based on the health ecology model

生态学 老年学 纵向研究 认知 人口 心理学 医学 环境卫生 精神科 生物 病理
作者
D.Q. Hou,Yehuan Sun,Zhike Liu,Hongyu Sun,Yi Li,Rui Wang
出处
期刊:Journal of Affective Disorders [Elsevier]
标识
DOI:10.1016/j.jad.2024.02.014
摘要

Cognitive frailty (CF) is an important geriatric syndrome and is reversible. It is crucial to develop preventive interventions for CF. We aimed to explore the associations between CF and its associated factors in Chinese aged 45 years and above. Based on the available data of 3 waves in China Health and Retirement Longitudinal Study from 2011 to 2015, 16,071 individuals aged 45 years and above from 3 waves were included. Based on the health ecology model, the associated factors were classified as downstream, midstream and upstream factors. Generalized hierarchical linear model including time level, individual level, and province level was applied to analyze the associations between factors and CF. Multilevel factors have different effects on physical and cognitive function. In the downstream, old age, female, underweight, chronic diseases, and depression were risk factors of reversible CF and potentially reversible CF, and overweight was their protective factor. In the midstream, short or long night sleep duration was their risk factor, and >30 and ≤60 min afternoon naps, alcohol drinking, and participation in social activities were their protective factors. In the upstream, living in rural areas was their risk factor, and high educational level, household consumption and GDP per capita were their protective factors. Physical function and cognitive function are affected differently by multiple factors. The occurrence and development of physical frailty and cognitive impairment may have some common mechanisms. CF can be influenced by multilevel factors, and multilevel and comprehensive management of CF should be achieved. Cognitive frailty was correlated with multilevel factors, including downstream, midstream, and upstream factors. It is crucial to focus on individual interventions such as physiological factors, psychological factors and health behaviors, especially the elderly, women and those with depression. Socioeconomic status was associated with the lower prevalence of cognitive frailty.
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