Predictors of Happiness Among Hemodialysis Patients in Qazvin-Iran

Abstract

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.