Association Between Sleep Quality and Cognitive Function in Patients with Hypertension in Rural Areas of Shanxi Province, China: The Chain Mediating Role of Anxiety and Depression

Background: Many studies have found that sleep quality is associated with cognitive function, but how sleep quality is related to cognitive function indirectly through anxiety and depression is still unclear. This study aims to investigate the association between sleep quality and cognitive function among patients with hypertension in rural areas of Shanxi Province and to analyze the potential mediating role of anxiety and depression. Methods: 325 patients with primary hypertension were selected as the research subjects from Daning County and Yonghe County of Shanxi Province using the multistage cluster random sampling method. The Pittsburgh Sleep Quality Index, Montreal Cognitive Assessment, Generalized Anxiety Disorder-7, and Patient Health Questionnaire-9 were used to assess their sleep quality, cognitive function, anxiety, and depression levels, respectively. Structural equation modeling was employed to analyze the mediating effects of anxiety and depression. Results: The scores of sleep quality and cognitive function of patients with hypertension were 7.0 (4.0, 8.0) and 19.0 (15.0, 25.0), respectively. The results of the structural equation model analysis demonstrated that sleep quality was directly associated with cognitive function in patients with hypertension, with a path coefficient of -0.544, accounting for 59.85% of the total association. Anxiety and depressive symptoms showed a mediating role in the relationship between sleep quality and cognitive function, with indirect effects of -0.190 and -0.069, accounting for 20.90% and 7.59% of the total association, respectively. The chain mediating role of anxiety and depressive symptoms in the relationship between sleep quality and cognitive function among patients with hypertension was -0.105, accounting for 11.55% of the total association. Conclusion: These findings underscore the necessity of improving sleep quality and mitigating anxiety and depression as potential strategies for addressing cognitive deterioration. It is also of great importance for screening and comprehensive management of sleep and mental health in hypertension care.

Authors

Institutions

Publication Details

Journal
Psychology Research and Behavior Management
Published
2026-04-01
DOI
https://doi.org/10.2147/prbm.s593258
Primary Topic
Sleep and related disorders
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association Between Sleep Quality and Cognitive Function in Patients with Hypertension in Rural Areas of Shanxi Province, China: The Chain Mediating Role of Anxiety and Depression

Runshan Bai, Qiao Niu, Shuhong Zhao, Hongmei Zhang et al.
Psychology Research and Behavior Management
Sleep and related disorders
article

Association Between Sleep Quality and Cognitive Function in Patients with Hypertension in Rural Areas of Shanxi Province, China: The Chain Mediating Role of Anxiety and Depression

Runshan Bai, Qiao Niu, Shuhong Zhao, Hongmei Zhang, Song Li, Siyi Li, Jue Wang, Ruifeng Liang, Wenhua Sun, Hongmei Yu, Yanjie Li
article en

Abstract

Background: Many studies have found that sleep quality is associated with cognitive function, but how sleep quality is related to cognitive function indirectly through anxiety and depression is still unclear. This study aims to investigate the association between sleep quality and cognitive function among patients with hypertension in rural areas of Shanxi Province and to analyze the potential mediating role of anxiety and depression. Methods: 325 patients with primary hypertension were selected as the research subjects from Daning County and Yonghe County of Shanxi Province using the multistage cluster random sampling method. The Pittsburgh Sleep Quality Index, Montreal Cognitive Assessment, Generalized Anxiety Disorder-7, and Patient Health Questionnaire-9 were used to assess their sleep quality, cognitive function, anxiety, and depression levels, respectively. Structural equation modeling was employed to analyze the mediating effects of anxiety and depression. Results: The scores of sleep quality and cognitive function of patients with hypertension were 7.0 (4.0, 8.0) and 19.0 (15.0, 25.0), respectively. The results of the structural equation model analysis demonstrated that sleep quality was directly associated with cognitive function in patients with hypertension, with a path coefficient of -0.544, accounting for 59.85% of the total association. Anxiety and depressive symptoms showed a mediating role in the relationship between sleep quality and cognitive function, with indirect effects of -0.190 and -0.069, accounting for 20.90% and 7.59% of the total association, respectively. The chain mediating role of anxiety and depressive symptoms in the relationship between sleep quality and cognitive function among patients with hypertension was -0.105, accounting for 11.55% of the total association. Conclusion: These findings underscore the necessity of improving sleep quality and mitigating anxiety and depression as potential strategies for addressing cognitive deterioration. It is also of great importance for screening and comprehensive management of sleep and mental health in hypertension care.

Psychology Research and Behavior ManagementVol. Volume 19
Shanxi Medical University (CN), Nanjing Health and Health Commission (CN), Health Commission of Anhui Province (CN), Department of Health (ZA), Taiyuan University of Technology (CN)
Bill and Melinda Gates Foundation, Shanxi Medical University
Openalex Percentile: Top 22%
Sleep and related disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.