Predictors of happiness among Iranian nurses

Abstract

Objectives: This study aimed to assess happiness and its predictors among a group of Iranian hospital nurses. Methods: This cross-sectional study was done in 2016 on 620 hospital nurses who worked in five teaching hospitals affiliated to Kashan University of Medical Sciences, Kashan, Iran. Nurses were recruited through the census method. Data collection instruments were a researcher-made demographic and occupational characteristics questionnaire, the Oxford Happiness Inventory, and the Minnesota Job Satisfaction Questionnaire. Data analysis was done through stepwise multiple linear regression analysis. Results: Among 620 recruited nurses, 422 returned their questionnaires completely filled. The mean of their happiness was 123.4 ± 18.4 in the possible score range of 29–174. The significant predictors of happiness were satisfaction with mental health, monthly salary, satisfaction with salary, quality of life, current hospital ward, the length of working in the current ward, work shift, age, job satisfaction, and satisfaction with physicians' conduct and performance. These variables explained 50.3% of the total variance of happiness. Satisfaction with mental health had the greatest proportion in explaining the variance of happiness. Conclusion: Nurses in teaching hospitals in Kashan, Iran, have moderate happiness. Their happiness is affected by different factors, particularly by satisfaction with their mental health. Health policy-makers and authorities, in developing workforce-related plans and programs, need to pay special attention to nurses' happiness and its contributing factors. Keywords: Happiness, Iran, Job satisfaction, Mental health, Nurses, Personal satisfaction, Surveys and questionnaires