Correlation Analysis of Fatigue, Social Support, and Knowledge, Attitudes, and Practices of Rehabilitation Exercise in Patients with Coronary Heart Disease

目的:了解冠心病患者疲乏、社会支持与康复运动知信行的现状,分析疲乏、社会支持、康复运动知信行三者之间的关系。方法:本研究采用便利抽样法,选取十堰市三家三甲医院心血管内科冠心病患者316例进行问卷调查。问卷调查内容包括一般资料调查表、多维度疲乏量表、领悟社会支持量表、康复运动知信行问卷。应用统计学工具SPSS 26.0以及Amos 24.0分析数据,以P Objective: To investigate the current status of fatigue, social support, and knowledge, attitudes, and practices (KAP) of rehabilitation exercise in patients with coronary heart disease (CHD) and analyze the relationships among fatigue, social support, and KAP of rehabilitation exercise. Methods: A convenience sampling method was employed to select 316 CHD patients from the cardiovascular departments of three tertiary hospitals in Shiyan City for questionnaire surveys. The questionnaires included a general information survey, the Multidimensional Fatigue Inventory (MFI), the Perceived Social Support Scale (PSSS), and the KAP questionnaire on rehabilitation exercise. Statistical tools SPSS 26.0 and Amos 24.0 were used for data analysis, with a significance level set at P < 0.05. Results: The fatigue score of CHD patients was (56.81 ± 10.57), the social support score was (60.2 ± 7.57), and the KAP score of rehabilitation exercise was (43.78 ± 12.21). Correlation analysis showed that social support was negatively correlated with fatigue (r = −0.243, P < 0.01), fatigue was negatively correlated with KAP of rehabilitation exercise (r = −0.432, P < 0.01), and social support was positively correlated with KAP of rehabilitation exercise (r = 0.360, P < 0.01). Multiple linear regression analysis revealed that disease duration, education level, fatigue, and social support were the main influencing factors of KAP of rehabilitation exercise (P < 0.05). Fatigue played a partial mediating role in the prediction of social support on KAP of rehabilitation exercise, with the mediating effect accounting for 29.20% of the total effect. Conclusion: CHD patients exhibited high levels of fatigue and social support, while their KAP of rehabilitation exercise was at a moderate to low level. There were correlations among fatigue, social support, and KAP of rehabilitation exercise. Fatigue partially mediated the relationship between social support and KAP of rehabilitation exercise. It is recommended to encourage family involvement in rehabilitation plans, adjust exercise intensity based on fatigue levels, and correct patients’ misconceptions about exercise through health education to improve prognosis and quality of life.

Authors

Publication Details

Journal
Nursing Science
Published
2025-01-01
DOI
https://doi.org/10.12677/ns.2025.146128
Primary Topic
Cardiac Health and Mental Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Correlation Analysis of Fatigue, Social Support, and Knowledge, Attitudes, and Practices of Rehabilitation Exercise in Patients with Coronary Heart Disease

蔚怡 陈
Nursing Science
Cardiac Health and Mental Health
article

Correlation Analysis of Fatigue, Social Support, and Knowledge, Attitudes, and Practices of Rehabilitation Exercise in Patients with Coronary Heart Disease

蔚怡 陈
article en

Abstract

目的:了解冠心病患者疲乏、社会支持与康复运动知信行的现状,分析疲乏、社会支持、康复运动知信行三者之间的关系。方法:本研究采用便利抽样法,选取十堰市三家三甲医院心血管内科冠心病患者316例进行问卷调查。问卷调查内容包括一般资料调查表、多维度疲乏量表、领悟社会支持量表、康复运动知信行问卷。应用统计学工具SPSS 26.0以及Amos 24.0分析数据,以P Objective: To investigate the current status of fatigue, social support, and knowledge, attitudes, and practices (KAP) of rehabilitation exercise in patients with coronary heart disease (CHD) and analyze the relationships among fatigue, social support, and KAP of rehabilitation exercise. Methods: A convenience sampling method was employed to select 316 CHD patients from the cardiovascular departments of three tertiary hospitals in Shiyan City for questionnaire surveys. The questionnaires included a general information survey, the Multidimensional Fatigue Inventory (MFI), the Perceived Social Support Scale (PSSS), and the KAP questionnaire on rehabilitation exercise. Statistical tools SPSS 26.0 and Amos 24.0 were used for data analysis, with a significance level set at P < 0.05. Results: The fatigue score of CHD patients was (56.81 ± 10.57), the social support score was (60.2 ± 7.57), and the KAP score of rehabilitation exercise was (43.78 ± 12.21). Correlation analysis showed that social support was negatively correlated with fatigue (r = −0.243, P < 0.01), fatigue was negatively correlated with KAP of rehabilitation exercise (r = −0.432, P < 0.01), and social support was positively correlated with KAP of rehabilitation exercise (r = 0.360, P < 0.01). Multiple linear regression analysis revealed that disease duration, education level, fatigue, and social support were the main influencing factors of KAP of rehabilitation exercise (P < 0.05). Fatigue played a partial mediating role in the prediction of social support on KAP of rehabilitation exercise, with the mediating effect accounting for 29.20% of the total effect. Conclusion: CHD patients exhibited high levels of fatigue and social support, while their KAP of rehabilitation exercise was at a moderate to low level. There were correlations among fatigue, social support, and KAP of rehabilitation exercise. Fatigue partially mediated the relationship between social support and KAP of rehabilitation exercise. It is recommended to encourage family involvement in rehabilitation plans, adjust exercise intensity based on fatigue levels, and correct patients’ misconceptions about exercise through health education to improve prognosis and quality of life.

Nursing ScienceVol. 14(06)
Good health and well-being
Openalex Percentile: Top 76%
Cardiac Health and Mental Health
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.