Latent Profile Analysis and Influencing Factors Associated with the Coping Styles of Dyspnea-Related Fear Among Patients with Chronic Obstructive Pulmonary Disease: A Multicenter Cross-Sectional Study

慢性阻塞性肺疾病患者呼吸困难相关恐惧应对方式的潜在剖面分析及影响因素:一项多中心横断面研究

阅读:2

Abstract

PURPOSE: To describe and analyze the potential profile characteristics associated with coping styles of dyspnea-related fear among patients with chronic obstructive pulmonary disease (COPD) and to explore the influencing factors of potential categories. PATIENTS AND METHODS: From March 2023 to August 2024, a cross-sectional study survey, involving 539 COPD patients from four tertiary hospitals, was conducted in Suzhou, China, by convenience sampling. The general information questionnaire, medical coping modes questionnaire, breathlessness beliefs questionnaire, 13-Beck depression inventory, revised COPD anxiety questionnaire, breathlessness catastrophizing scale, COPD self-efficacy scale and the modified medical research council dyspnea scale were employed for data collection. Latent profile analysis was performed to analyze the characteristics on coping styles of dyspnea-related fear among COPD patients, and logistic regression analysis was performed to explore the influencing factors of potential categories. RESULTS: Four profiles of coping styles of dyspnea-related fear were identified, designated as "low fear-confrontation (n = 151, 28.01%)", "moderate-high fear-acceptance-resignation (n = 126, 23.38%)", "moderate fear-confrontation (n = 160, 29.69%)", and "high fear-avoidance (n = 102, 18.92%)". Logistic regression analysis showed that disease duration, lung function, frequency of acute exacerbation during the previous year, depression, degree of dyspnea, anxiety, comorbidities and disease knowledge were factors influencing the coping styles of dyspnea-related fear in the different subgroups (P <0.05). CONCLUSION: There are obvious characteristic profiles on coping styles of dyspnea-related fear among patients with COPD, with differences in disease duration, frequencies of acute exacerbation, lung function, knowledge of COPD, comorbidity, degree of dyspnea, anxiety and depression across subgroups, which provide insight to identify and adopt early intervention strategies.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。