Status quo of cognitive frailty in community elderly patients with chronic obstructive pulmonary disease and its association with sleep quality, anxiety and depression
10.3969/j.issn.1006-2483.2025.05.016
- VernacularTitle:社区老年慢性阻塞性肺疾病患者认知衰弱现状及其与睡眠质量焦虑抑郁的关联性研究
- Author:
Zongquan ZHAO
1
;
Hao ZHANG
2
;
Jun SUN
2
;
Yajuan ZHANG
2
;
Xiangfan TIAN
2
;
Xiaohong WANG
2
;
Zhenyuan TANG
3
;
Zhiying ZHANG
4
Author Information
1. Department of Community General Medicine , the Affiliated Suzhou Hospital of Nanjing Medical University , Suzhou , Jiangsu 215000 , China
2. Department of General Medicine, Pingjiang New Town Community Health Service Center, Sujin Street, Gusu District, Suzhou , Jiangsu 215000 , China
3. Department of Geriatrics , the Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou , Jiangsu 215000 , China
4. Department of General Medicine , the Affiliated Suzhou Hospital of Nanjing Medical University , Suzhou , Jiangsu 215000 , China
- Publication Type:Journal Article
- Keywords:
Chronic obstructive pulmonary disease;
Cognitive frailty;
Sleep quality;
Anxiety and depression
- From:
Journal of Public Health and Preventive Medicine
2025;36(5):71-75
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the status quo of cognitive frailty (CF) in community elderly patients with chronic obstructive pulmonary disease (COPD) and its correlation with sleep quality, anxiety and depression. Methods Elderly patients with COPD receiving health management in the center were selected from July 2023 to June 2024. The general data of patients were collected and Mini-Mental State Examination (MMSE), Fried Frailty Phenotype (FP), Pittsburgh Sleep Quality Index (PSQI) and Hospital Anxiety and Depression Scale (HADS) were used for investigation, and the above scores were analyzed. All patients were divided into CF group (n=129) and non-CF group (n=319) according to MMSE score and FP score. Univariate and multivariate logistic analyses were used to analyze the influencing factors of CF in elderly COPD patients. Results Pearson correlation analysis showed that MMSE score was significantly negatively correlated with PSQI score and HADS score in elderly COPD patients (P<0.05), and FP score was significantly positively correlated with PSQI score and HADS score (P<0.05). After logistic regression analysis, it was found that education level, marital status and sleep time were protective factors of CF in elderly COPD patients (P<0.05), and PSQI score and HADS score were risk factors of CF in elderly patients with COPD (P<0.05). Conclusion CF in community elderly COPD patients is related to sleep quality, sleep duration and anxiety and depression. It is necessary to take clinical measures to improve the sleep quality and psychological status, so as to avoid or slow down the occurrence of CF.
