Observational studyFrontiers in public health2024
Network relationship between cognitive function and quality of life in community-dwelling older adults: an observational study from Beijing.
Observational study in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Effects ofFrontiers in nutrition · 2026Trial
- Chinese-specific dietary patterns and cognitive function in Chinese older adults: a cross-lagged panel network analysis.European journal of nutrition · 2026Article
- Associations of combined hearing loss and depression with cognitive impairment among older adults: a sex difference analysis based on evidence from CHARLS.BMC public health · 2026Article
- Association between dietary patterns and sleep quality in Chinese children and adolescents: large-scale cross-sectional network analysis.Frontiers in nutrition · 2026Article
- A network analysis of dietary patterns, social participation patterns, and cognitive function in Chinese older adults.Frontiers in psychiatry · 2026Article
- The interaction between future food considerations, regulation of eating behaviors, sense of purpose, and social media consciousness among college students: a study on mediation effects and network analysis.Frontiers in psychology · 2026Article
- Vision impairment and cognitive function in Chinese older adults with diabetes: multiple mediating effects of social participation and perceived control.Frontiers in public health · 2026Article
- Cognitive decline, and quality of life: evidence from community-dwelling older adults in the United Arab Emirates.Frontiers in aging · 2026Article
- Baseline patient-reported symptom networks and early risk stratification for six-month symptom burden in newly diagnosed glioma: a prospective cohort study.Frontiers in public health · 2026Article
- Integrative multi-omics profiling of mild cognitive impairment in older patients combined with coronary heart disease: a cross-sectional cohort study.Frontiers in cardiovascular medicine · 2026Article
- Network analysis and dose-response relationships of factors influencing nurses' willingness to provide online traditional Chinese medicine nursing services.Frontiers in public health · 2026Article
- Functional impairment profiles and long-term care implications among community health service-managed older adults with disability in China: a latent profile and network analysis study.Frontiers in public health · 2026Article
- Article
- A Network Analysis of Food Intake and Cognitive Function in Older Adults with Multimorbidity: A National Cross-Sectional Study.Nutrients · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: This observational study aims to comprehensively explore the network relationship and mechanism of action between cognitive function and quality of life among community-dwelling older adults aged 60 and above in Beijing. Methods: The research encompassed a cohort of 323 older adults individuals residing in the community in Beijing. Data were collected from January to July 2024 using convenience sampling. Cognitive function was evaluated using the Chinese adaptation of the Montreal Cognitive Assessment (MoCA), while quality of life was assessed through the Medical Outcomes Study 36-Item Short-Form Health Survey version 2 (SF-36v2). Cognitive assessment involved seven dimensions, namely visuospatial/executive function, naming, attention, language, abstraction, delayed recall, and orientation. Concurrently, quality of life was assessed across eight dimensions: physical functioning, role physical, bodily pain, general health, vitality, social functioning, role emotional, and mental health. Network analysis graphs were developed to investigate the interrelationships among variables, identify central nodes, and evaluate stability. Results: In the network, the dimensions of social functioning, role-physical, physical functioning, general health, vitality, orientation, and language showed high centrality strength. The dimensions of physical functioning, role-physical, language, and orientation exhibited strong closeness and betweenness. There were strong associations between role-physical and social functioning, physical functioning and role-physical, and vitality and mental health. The centrality stability coefficients for strength, closeness, and betweenness were 0.672, 0.672, and 0.285, respectively. Conclusion: The network structure was stable, indicating that dimensions such as social functioning, role-physical, and physical functioning play pivotal roles influencing cognitive function in community-dwelling older adults. Orientation and language were the most representative dimensions of cognitive function and may serve as important targets for interventions aimed at improving cognitive function and subsequently enhancing QoL. These findings provide practical guidance for community health interventions. Future research should explore causal relationships and develop scalable strategies to support aging populations.
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