Fatigue development trajectory and its influencing factors in middle-aged and elderly patients with stroke

XIONG Xiaolan; XIE Jian; DENG Hongyuan; MAO Xiaoqin

doi:10.7619/jcmp.20242697

Journal of Clinical Medicine in Practice > 2024 > 28(19): 123-128, 133. > DOI: 10.7619/jcmp.20242697

XIONG Xiaolan, XIE Jian, DENG Hongyuan, MAO Xiaoqin. Fatigue development trajectory and its influencing factors in middle-aged and elderly patients with stroke[J]. Journal of Clinical Medicine in Practice, 2024, 28(19): 123-128, 133. DOI: 10.7619/jcmp.20242697

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Fatigue development trajectory and its influencing factors in middle-aged and elderly patients with stroke

1.
Department of Cerebrovascular Diseases, Luzhou People's Hospital of Sichuan Province, Luzhou, Sichuan, 646000
2.
Department of Emergency Medicine, Luzhou People's Hospital of Sichuan Province, Luzhou, Sichuan, 646000
3.
Department of Neurospinal Surgery, Luzhou People's Hospital of Sichuan Province, Luzhou, Sichuan, 646000

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Received Date: June 24, 2024
Revised Date: September 01, 2024

Graphical Abstract

Abstract

Abstract

Objective
To analyze the trajectory categories of fatigue development in middle-aged and elderly stroke patients and explore its influencing factors.
Methods
A convenient sampling method was used to select 230 middle-aged and elderly stroke patients in the Luzhou People's Hospital from January 2021 to January 2023 as the research subjects. A self-compiled general information-questionnaire, the Fatigue Severity Scale (FSS), the Pittsburgh Sleep Quality Index (PSQI), and the Beck Depression Inventory (BDI) were used to investigate the sociodemographic and clinical data, fatigue, sleep quality, and depression status of patients at 2 days after admission and 3 and 6 months after discharge. The latent growth curve model was used to fit the categories and trajectories of fatigue development, and the unordered multinomial Logistic regression model was used to analyze the influencing factors of trajectory categories of fatigue development.
Results
The fatigue development trajectory of middle-aged and elderly stroke patients showed three potential categories, namely the low-level fatigue stability group (33.04%), the medium-level fatigue rapid aggravation group (42.17%), and the high-level fatigue slow aggravation group (24.79%). The results of unordered multinomial Logistic regression analysis showed that age, marital status, education level, disease severity, the Activity of Daily Living (ADL) score, PSQI score, and BDI score were the influencing factors of fatigue development trajectory in middle-aged and elderly stroke patients (all P < 0.05).
Conclusion
The fatigue development trajectory of middle-aged and elderly stroke patients is heterogeneous. Nurses should understand the evolution characteristics of fatigue in different patients and implement targeted management measures according to patients'symptoms to improve their health outcomes.
- middle-aged and elderly population,
- stroke,
- fatigue,
- development trajectory,
- latent growth curve model

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References

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Fatigue development trajectory and its influencing factors in middle-aged and elderly patients with stroke