Potential categories and influencing factors of fatigue trajectories in stroke patients
10.3761/j.issn.0254-1769.2024.19.010
- VernacularTitle:脑卒中患者疲劳轨迹的潜在类别及影响因素分析
- Author:
Xuebin QIU
1
;
Xiaohong MIAO
;
Minqi XIA
;
Juanli YE
Author Information
1. 323000 浙江省 丽水市人民医院康复科
- Keywords:
Stroke;
Post-Stroke Fatigue;
Latent Class Growth Model;
Root Cause Analysis;
Nursing Care
- From:
Chinese Journal of Nursing
2024;59(19):2375-2381
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the potential categories and influencing factors of fatigue trajectories in stroke patients,to provide information of the nursing management of patients with post-stroke fatigue after subsequent stroke.Methods 265 stroke patients hospitalized in the rehabilitation department of a tertiary A general hospital in Lishui from January 2022 to June 2023 were conveniently selected as the research subjects.The general information questionnaire,the Fatigue Severity Scale,the Health Behaviour Scale for Stroke Patient,and the Pittsburgh Sleep Quality Index were employed.The degree of fatigue was evaluated at 1～2 weeks,1 month,3 months and 6 months after the onset of the disease.The latent category growth model was used to identify the potential categories of fatigue trajectory,and logistic regression was used to analyze the influencing factors of fatigue trajectory.Results A total of 232 stroke patients were included,among which 128(55.17％)had fatigue,and there were 4 trajectories of fatigue,including 44 cases(18.97％)in the"continuous fatigue group",13 cases(5.60％)in the"increased fatigue group",71 cases(30.60％)in the"fatigue relief group",104 cases(44.83％)in the"no fatigue group".Logistic regression analysis showed that age,education level,health behavior and sleep quality were the influencing factors of fatigue trajectory in stroke patients(P＜0.05).Conclusion The fatigue of stroke patients can be divided into 4 kinds of change trajectories,and there is group heterogeneity.Nursing staff should carry out targeted nursing interventions for patients according to different fatigue change trajectories.
