Identifying patterns of kinesiophobia trajectories among COPD patients: A longitudinal study

Author:

Liang Facun1ORCID,Liu Mengru1ORCID,Han Hui2,Ru Yunxin1,Yin Yanru1,Cheng Chen1,Xue Meng1,Gu Lifang2

Affiliation:

1. School of Nursing Huzhou University Huzhou China

2. Respiratory Department The First People's Hospital of Huzhou Huzhou China

Abstract

AbstractAimTo determine differences in kinesiophobia levels among COPD patients at different time points 6 months after discharge;To identify potential subgroups of COPD patients who perceived different levels of kinesiophobia over time;and to evaluate differences in identified subgroups based on demographic and disease‐related characteristicsDesignAn observational longitudinal study.MethodsOPD patients hospitalized in respiratory department of a grade A hospital in Huzhou city from October 2021 to May 2022 were selected as the research objects. TSK scale was used to evaluate the level of kinesiophobia at discharge (T1), 1 month after discharge (T2), 4 months after discharge (T3) and 6 months after discharge (T4). The kinesiophobia level scores at different time points were compared using latent class growth modelling. ANOVA and Fisher's exact tests were used to test differences in demographic characteristics,and univariate analysis and multinomial logistic regression analysis were used to explore the influencing factors.ResultsDuring the first 6 months after discharge, kinesiophobia levels decreased significantly in the entire sample of COPD patients. The best‐fitting group‐based trajectory model described three distinctive trajectories: Low kinesiophobia group (31.4% of sample); Medium kinesiophobia group (43.4% of sample);and High kinesiophobia group (25.2% of sample). Logistic regression results showed that sex, age, course of disease, pulmonary function, education level, BMI, the level of pain, MCFS and mMRC were influencing factors of kinesiophobia trajectory in COPD patients (p < 0.05).

Publisher

Wiley

Subject

General Nursing

Reference29 articles.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3