Abstract
BACKGROUND: Apathy may be an important predictor of depression and significantly negatively affect the quality of life and functional recovery of stroke survivors. However, the evidence reflects the inconsistent findings of studies on the impact of individual-related variables on apathy in patients with stroke. OBJECTIVES: This study examines the relationships among stroke survivors' individual characteristics, background variables, disease-related variables, and apathy; furthermore, we identify predictors of apathy. METHODS: In this cross-sectional correlational study, the participants were recruited from a medical university hospital. Three measurement tools were used: individual and background variables, the modified Rankin Scale, and the Apathy Evaluation Scale. Hierarchical multiple regression analysis was used to identify the predictors of apathy. RESULTS: Participants included 100 stroke survivors with a mean age of 59.9 (12.1) years. The prevalence of apathy among stroke survivors was 27%. Stroke survivors' economic sources (β = 0.430, P = .001), perceived family support (β = −0.163, P = .048), and modified Rankin Scale (β = 0.283, P = .001) accounted for 43.7% of the variance in survivor apathy. CONCLUSION: The results of this study clarified which individual characteristics, background variables, and disease-related variables are key predictors of apathy in patients with stroke.