|
1
|
He C, Kong X, Li J, Wang X, Chen X, Wang Y, Zhao Q, Tao Q. Predictors for quality of life in older adults: network analysis on cognitive and neuropsychiatric symptoms. BMC Geriatr 2023; 23:850. [PMID: 38093173 PMCID: PMC10720074 DOI: 10.1186/s12877-023-04462-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 11/06/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND Quality of life (QoL) of older adults has become a pivotal concern of the public and health system. Previous studies found that both cognitive decline and neuropsychiatric symptoms (NPS) can affect QoL in older adults. However, it remains unclear how these symptoms are related to each other and impact on QoL. Our aim is to investigate the complex network relationship between cognitive and NPS symptoms in older adults, and to further explore their association with QoL. METHODS A cross-sectional study was conducted in a sample of 389 older individuals with complaints of memory decline. The instruments included the Neuropsychiatric Inventory, the Mini Mental State Examination, and the 36-item Short Form Health Survey. Data was analyzed using network analysis and mediation analysis. RESULTS We found that attention and agitation were the variables with the highest centrality in cognitive and NPS symptoms, respectively. In an exploratory mediation analysis, agitation was significantly associated with poor attention (β = -0.214, P < 0.001) and reduced QoL (β = -0.137, P = 0.005). The indirect effect of agitation on the QoL through attention was significant (95% confidence interval (CI) [-0.119, -0.035]). Furthermore, attention served as a mediator between agitation and QoL, accounting for 35.09% of the total effect. CONCLUSIONS By elucidating the NPS-cognition-QoL relationship, the current study provides insights for developing rehabilitation programs among older adults to ensure their QoL.
Collapse
Affiliation(s)
- Chaoqun He
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China
- Division of Medical Psychology and Behaviour Science, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Xiangyi Kong
- China-Japan Union Hospital of Jilin University, Jilin University, Changchun, 130031, China
| | - Jinhui Li
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China
- Division of Medical Psychology and Behaviour Science, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Xingyi Wang
- China-Japan Union Hospital of Jilin University, Jilin University, Changchun, 130031, China
| | - Xinqiao Chen
- The First Bethune Hospital of Jilin University, Jilin University, Changchun, 130021, China
| | - Yuanyi Wang
- The First Hospital of Jilin University, Jilin University, Changchun, 130021, China
| | - Qing Zhao
- China-Japan Union Hospital of Jilin University, Jilin University, Changchun, 130031, China.
| | - Qian Tao
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China.
- Division of Medical Psychology and Behaviour Science, School of Medicine, Jinan University, Guangzhou, 510632, China.
- Neuroscience and Neurorehabilitation Institute, University of Health and Rehabilitation Science, Qingdao, 266071, China.
| |
Collapse
|