A Web-based Survey of Marital Quality and Job Satisfaction among Chinese Nurses

Asian Nurs Res (Korean Soc Nurs Sci). 2019 Aug;13(3):216-220. doi: 10.1016/j.anr.2019.07.001. Epub 2019 Jul 16.

Abstract

Purpose: This study aimed to use a web-based survey to investigate the correlation between job satisfaction and marital quality and to identify the association of demographics with job satisfaction and marital quality.

Methods: Married nurses (N = 2,296) completed the questionnaires. Correlations and linear regression analyses were carried out.

Results: Both marital quality and job satisfaction were relatively low. Additionally, marital quality was positively correlated with job satisfaction. Age, marital status (in years) and average daily hours spent with spouse had positive impact on job satisfaction. Multiple linear regression analyses showed that age, monthly income, average daily hours spent with spouse and marital quality were positively associated with job satisfaction.

Conclusion: Because of the shifts nurses working, there is little time for nurses to spend with their spouses and family. It is recommended that hospital leaders could provide more flexibility with nurses' shift choices so nurses can arrange their work-life balance better. Other considerations like reducing workload and reducing working hours should be promoted as options. Nurse managers could offer counseling services including strategies to cope with the balance between work and life. This effort could improve job satisfaction and reduce the rate of turnover of nurses.

Keywords: China; job satisfaction; marital status; nurses; work-life balance.

MeSH terms

  • Adult
  • Asian People / psychology*
  • Asian People / statistics & numerical data
  • Attitude of Health Personnel*
  • Cross-Sectional Studies
  • Family Relations / psychology*
  • Female
  • Humans
  • Job Satisfaction*
  • Male
  • Marital Status / statistics & numerical data
  • Marriage / psychology*
  • Marriage / statistics & numerical data
  • Middle Aged
  • Nursing Staff, Hospital / psychology*