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

AIM: To 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 demograp...

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Autores principales: Liang, Facun, Liu, Mengru, Han, Hui, Ru, Yunxin, Yin, Yanru, Cheng, Chen, Xue, Meng, Gu, Lifang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10170905/
https://www.ncbi.nlm.nih.gov/pubmed/36867560
http://dx.doi.org/10.1002/nop2.1650
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author Liang, Facun
Liu, Mengru
Han, Hui
Ru, Yunxin
Yin, Yanru
Cheng, Chen
Xue, Meng
Gu, Lifang
author_facet Liang, Facun
Liu, Mengru
Han, Hui
Ru, Yunxin
Yin, Yanru
Cheng, Chen
Xue, Meng
Gu, Lifang
author_sort Liang, Facun
collection PubMed
description AIM: To 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 characteristics DESIGN: An observational longitudinal study. METHODS: OPD 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. RESULTS: During 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).
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spelling pubmed-101709052023-05-11 Identifying patterns of kinesiophobia trajectories among COPD patients: A longitudinal study Liang, Facun Liu, Mengru Han, Hui Ru, Yunxin Yin, Yanru Cheng, Chen Xue, Meng Gu, Lifang Nurs Open Clinical Trial AIM: To 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 characteristics DESIGN: An observational longitudinal study. METHODS: OPD 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. RESULTS: During 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). John Wiley and Sons Inc. 2023-03-03 /pmc/articles/PMC10170905/ /pubmed/36867560 http://dx.doi.org/10.1002/nop2.1650 Text en © 2023 The Authors. Nursing Open published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Clinical Trial
Liang, Facun
Liu, Mengru
Han, Hui
Ru, Yunxin
Yin, Yanru
Cheng, Chen
Xue, Meng
Gu, Lifang
Identifying patterns of kinesiophobia trajectories among COPD patients: A longitudinal study
title Identifying patterns of kinesiophobia trajectories among COPD patients: A longitudinal study
title_full Identifying patterns of kinesiophobia trajectories among COPD patients: A longitudinal study
title_fullStr Identifying patterns of kinesiophobia trajectories among COPD patients: A longitudinal study
title_full_unstemmed Identifying patterns of kinesiophobia trajectories among COPD patients: A longitudinal study
title_short Identifying patterns of kinesiophobia trajectories among COPD patients: A longitudinal study
title_sort identifying patterns of kinesiophobia trajectories among copd patients: a longitudinal study
topic Clinical Trial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10170905/
https://www.ncbi.nlm.nih.gov/pubmed/36867560
http://dx.doi.org/10.1002/nop2.1650
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