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BACKGROUND Stroke has a great influence on the patient’s mental health, and reasonable psychological adjustment and disease perception can promote the recovery of mental health. AIM To explore the relationships among resilience, coping style, and uncertainty in illness of stroke patients. METHODS A retrospective study was used to investigate 154 stroke patients who were diagnosed and treated at eight medical institutes in Henan province, China from October to December 2019. We used the Mishel Uncertainty in Illness Scale, the Connor-Davidson Resilience Scale, and the Medical Coping Modes Questionnaire to test the uncertainty in illness, resilience, and coping style, respectively. RESULTS Resilience had a significant moderating role in the correlation between coping style and unpredictability and information deficiency for uncertainty in illness ( P < 0.05). Further, the tenacity and strength dimensions of resilience mediated the correlation between the confrontation coping style and complexity, respectively ( P < 0.05). The strength dimension of resilience mediated the correlation between an avoidance coping style and the unpredictability of uncertainty in illness ( P < 0.05), as well as correlated with resignation, complexity, and unpredictability ( P < 0.05). CONCLUSION Resilience has moderating and mediating roles in the associations between coping style and uncertainty in illness, indicating that it is vital to improve resilience and consider positive coping styles for stroke patients in the prevention and control of uncertainty in illness.

Objectives:This study aimed to investigate the mediating roles of coping styles and stroke knowledge between social support and uncertainty in illness among patients with primary stroke in China. Methods:The total of 204 Chinese primary stroke patients recruited using convenience sampling were asked to answer Mishel Uncertainty in Illness Scale for Adult(MUIS-A), Stroke Knowledge Questionnaire(SKQ), Social Support Rating Scale(SSRS), and Medical Coping Modes Questionnaires (MCMQ). Demographics characteristics of the patients were presented using descriptive statistics. We reported the relationship between the study variables using Pearson’s Correlation Coefficients. We performed structural equation modeling to estimate the mediator effect of coping styles and stroke knowledge between social support and uncertainty in illness.Results: The results showed that 92% of patients with primary stroke had moderate above level of uncertainty in illness, with a mean score 75.04 (SD=9.61).Uncertainty was positively associated with coping styles (r=0.232, P＜0.01), and negatively associated with social support(r=-0.237, P＜0.01) and stroke knowledge (r=-0.386, P＜0.01).The structural equation model indicated that the coping styles(19.8% of total effect) and stroke knowledge (38.5% of total effect)respectively acted as mediator role between social support and uncertainty in illness.Conclusions:Most patients with primary stroke present moderate above level of uncertainty in illness. stroke knowledge and coping styles were important mediating factors in the pathway between coping styles and uncertainty in illness. Our findings suggest the provision of stroke knowledge and training of coping styles for patients with primary stroke could alleviate their uncertainty in illness.

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