ArticlePloS one2025
Cognitive impairment influencing factors in the middle-aged and elderly population in China: Evidence from a National Longitudinal Cohort Study.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Predictive value of Galectin-3 in cognitive impairment: a systematic review and meta-analysis.Frontiers in neurologyPooled it
- Association of low sleep efficiency and carotid plaque with cognitive impairment in older adults with chronic diseases: A retrospective cross-sectional study.The Journal of international medical research · 2026Article
- Social perceptions, age stereotypes, and health behaviours: an economic and public health perspective from China.Frontiers in public health · 2026Article
- Exploring the relationship between cognitive function and frailty in middle-aged and older adults Chinese adults: evidence from the CHARLS database.Frontiers in public health · 2026Article
- Depressive symptoms mediate the relationship between cognitive reserve and cognitive performance in middle-aged and older Chinese adults: evidence from population-based and clinical PET cohorts including cognitively normal and cognitively impaired participants.Frontiers in aging neuroscience · 2025Article
- COPD and cognitive impairment: a review of associated factors and intervention strategies.Frontiers in psychiatry · 2025Review
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Authors and funding
7 authors.
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No grant is acknowledged in the PubMed record.
Abstract
objectiveThe study aimed to explore the factors influencing cognitive impairment among middle-aged and elderly individuals in China, utilizing data from the China Health and Retirement Longitudinal Study (CHARLS). By examining the combined effects of socioeconomic factors, health behaviors, chronic diseases, and other multidimensional factors, this research seeks to provide evidence for the development of targeted public health policies and interventions.
methodsThis study utilized data from the 2018 wave of the CHARLS database, including a total of 19,307 participants aged 45 and older. Cognitive impairment was assessed using the Mini-Mental State Examination (MMSE), with thresholds adjusted for education levels. A combination of LASSO (Least Absolute Shrinkage and Selection Operator) regression and logistic regression models was employed to identify significant risk and protective factors for cognitive impairment. RCS (Restricted cubic splines) were used to explore the dose-response relationship between sleep duration and cognitive function.
resultsThe analysis identified several significant risk factors for cognitive impairment, including age, urban household registration, self-rated health as fair, chronic disease, impaired instrumental activities of daily living (IADL), alcohol consumption and exercise. Protective factors included sleep duration, being female, divorced or widowed, self-rated health as poor and disability. The study also found that sleep duration followed a U-shaped relationship with cognitive function, with an optimal sleep duration of 5.83 hours per day.
conclusionThis study highlights the multifactorial nature of cognitive impairment and underscores the importance of early interventions targeting modifiable risk factors such as chronic diseases and lifestyle behaviors. The findings contribute to the growing body of knowledge on cognitive impairment in China's aging population and provide a basis for evidence-based public health strategies.
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