Configurations Associated with High Self-Regulatory Fatigue in Patients with Stroke: A Fuzzy-Set Qualitative Comparative Analysis.
- 1Department of Nursing, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 32200, People's Republic of China.
- 2Department of Nursing, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, People's Republic of China.
Abstract
Self-regulatory fatigue is common among patients with stroke and may adversely affect rehabilitation. Previous studies have mainly examined individual factors associated with self-regulatory fatigue, but how multiple stressor-related and resource-related conditions combine into distinct configurations of high self-regulatory fatigue remains unclear. To identify configurations associated with high self-regulatory fatigue among patients with stroke using fuzzy-set qualitative comparative analysis (fsQCA), guided by Conservation of Resources theory. A total of 288 patients with stroke were recruited from the neurology wards of a tertiary hospital in Zhejiang Province, China. Data were collected using validated instruments assessing self-regulatory fatigue, depressive symptoms, sense of coherence, perceived social support, stroke health literacy, activities of daily living, and neurological impairment. Necessity and sufficiency analyses were conducted using fsQCA to identify conditions and configurations associated with high self-regulatory fatigue. No single condition was necessary for high self-regulatory fatigue. Five configurations were identified, with an overall solution consistency of 0.937 and an overall solution coverage of 0.640. The configurations were categorised into three types: psychological-emotional resource depletion type, functional-social resource depletion type, and multi-resource synergistic depletion type. Robustness analyses supported the stability of the configurational findings. High self-regulatory fatigue among patients with stroke is associated with distinct configurations of psychological, functional, social, and health-management resource deficits rather than any single condition. These findings support multidimensional assessment and coordinated multidisciplinary care tailored to patients' resource profiles.
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BibTeX
@article{tian2026configurations,
title = {{Configurations Associated with High Self-Regulatory Fatigue in Patients with Stroke: A Fuzzy-Set Qualitative Comparative Analysis.}},
author = {Xinran Tian and Yinglu Lin and Siyuan Wu and Changxin Xu and Mengxue Fu and Panting Lu and Huafang Zhang},
journal = {Journal of multidisciplinary healthcare},
year = {2026},
month = nov,
doi = {10.2147/jmdh.s647062},
url = {https://europepmc.org/article/MED/42999867},
note = {CC BY-NC},
}
RIS
TY - JOUR
TI - Configurations Associated with High Self-Regulatory Fatigue in Patients with Stroke: A Fuzzy-Set Qualitative Comparative Analysis.
AU - Xinran Tian
AU - Yinglu Lin
AU - Siyuan Wu
AU - Changxin Xu
AU - Mengxue Fu
AU - Panting Lu
AU - Huafang Zhang
PY - 2026
DA - 2026/11/03
JO - Journal of multidisciplinary healthcare
DO - 10.2147/jmdh.s647062
UR - https://europepmc.org/article/MED/42999867
AB - Self-regulatory fatigue is common among patients with stroke and may adversely affect rehabilitation. Previous studies have mainly examined individual factors associated with self-regulatory fatigue, but how multiple stressor-related and resource-related conditions combine into distinct configurations of high self-regulatory fatigue remains unclear. To identify configurations associated with high self-regulatory fatigue among patients with stroke using fuzzy-set qualitative comparative analysis (fsQCA), guided by Conservation of Resources theory. A total of 288 patients with stroke were recruited from the neurology wards of a tertiary hospital in Zhejiang Province, China. Data were collected using validated instruments assessing self-regulatory fatigue, depressive symptoms, sense of coherence, perceived social support, stroke health literacy, activities of daily living, and neurological impairment. Necessity and sufficiency analyses were conducted using fsQCA to identify conditions and configurations associated with high self-regulatory fatigue. No single condition was necessary for high self-regulatory fatigue. Five configurations were identified, with an overall solution consistency of 0.937 and an overall solution coverage of 0.640. The configurations were categorised into three types: psychological-emotional resource depletion type, functional-social resource depletion type, and multi-resource synergistic depletion type. Robustness analyses supported the stability of the configurational findings. High self-regulatory fatigue among patients with stroke is associated with distinct configurations of psychological, functional, social, and health-management resource deficits rather than any single condition. These findings support multidimensional assessment and coordinated multidisciplinary care tailored to patients' resource profiles.
SN - 1178-2390
ER -