predictors of happiness among hemodialysis patients in qazvin-iran

Background: the enhancement of happiness in patients undergoing hemodialysis is positively associated with improved physical and mental health outcomes. objectives: this study was conducted to identify predictive factors of happiness among a group of iranian hemodialysis patients. methods: in 2021, a descriptive study was carried out involving 200 hemodialysis patients from a center in qazvin province, iran. the census method was utilized to select eligible patients. data collection was conducted using a socio-demographic checklist, the oxford happiness questionnaire, and snyder’s hope scale. a multivariate regression model was employed to ascertain the predictors of happiness. results: the average age of the patients was 59.23 ± 14.43, with an age range from 18 to 86 years. the majority were male (n = 122, 61.0%) and married (n = 134, 67.0%). a significant portion of the patients (69%, n = 138) reported moderate levels of happiness. the study also discovered that educational level (β = 0.248, p ≤ 0.001), marital status (β = -0.268, p ≤ 0.001), adequacy of hemodialysis (β = 0.268, p ≤ 0.001), and hope (β = 0.231, p ≤ 0.001) were significant predictors of happiness in patients undergoing hemodialysis. conclusions: the findings indicate that the majority of hemodialysis patients in qazvin experience a moderate level of happiness. factors such as hope, educational level, marital status, and adequacy of hemodialysis were linked to their happiness. these insights can inform health strategies developed by decision-makers aimed at enhancing the happiness of this patient group.