作者
Yaru Wang,Xiaofang Zou,Xiong Chen,Xiang Xie,Guilian He
摘要
The aim of this study is to explore the mechanism of the role of kinesiophobia in patients with chronic obstructive pulmonary disease (COPD), to construct a structural equation model of the factors influencing kinesiophobia in patients with COPD, and to provide a theoretical basis for the development of targeted intervention strategies. The cross-sectional design was conducted from December 2023 to July 2024, and middle-aged and elderly patients with COPD from a tertiary hospital in Guangzhou, China, were selected using convenience sampling. A general demographic information questionnaire, Breathlessness Beliefs Questionnaire scale (BBQ), modified Medical Research Council Dyspnea Scale (mMRC), Fatigue Scale (FS-14), Hospital Anxiety and Depression Scale (HADS), Self-Efficacy for Exercise (SEE), and Social Support Rating Scale (SSRS) were used for data collection. Spearman correlation analysis and structural equation modeling (SEM) were used for data analysis. A total of 278 COPD patients were included. Correlation analysis showed that dyspnoea (r = 0.689, p < 0.01), fatigue (r = 0.731, p < 0.01) and anxiety (r = 0.678, p < 0.01) were significantly positively correlated with kinesiophobia, whereas social support (r=-0.518, p < 0.01) and exercise self-efficacy (r=-0.740, p < 0.01) were significantly negatively correlated with kinesiophobia. SEM analyses revealed six significant pathways of action: dyspnoea, exercise self-efficacy was a direct predictor of kinesiophobia. Fatigue, and social support were indirect predictors of kinesiophobia. Anxiety was a direct and indirect predictor of kinesiophobia. Dyspnoea, fatigue, anxiety, social support and exercise self-efficacy are important predictors of kinesiophobia in COPD patients. Clinical interventions should focus on the synergistic effects of these five types of variables to establish a multidimensional and comprehensive management programme. The protocol was reviewed by the Ethics Committee of the Third Affiliated Hospital of Guangzhou Medical University (Ethics Code: LCYJ-2023-055).