Night work and quality of life. A study on the health of nurses

Ann Ist Super Sanita. 2019 Apr-Jun;55(2):161-169. doi: 10.4415/ANN_19_02_08.

Abstract

Background: Job quality and evaluation of workers' health have both medical and social important implications. We studied health-related quality of life (HRQL) in nurses who perform their activity in night shifts.

Methods: A cross-sectional study was conducted between October and November 2014. Nurses who attended night shift in the Siena Teaching Hospital (Azienda Ospedaliera Universitaria Senese - AOUS) were sampled using EpiInfo software (confidence interval 95%) and investigated using the SF-36 Questionnaire. Our results were compared with the Italian general population (Apolone, 1997). A Descriptive analysis was conducted. Wilcoxon test, Pearson coefficient, t-test, Wilcoxon signed-rank test and logistic regression were used for the statistical investigation.

Results: 197 questionnaires were analyzed. Females were 71.7%; mean age was 39.2 years (DS 8.6); smokers were 37.8%. Males scores were higher than those of females in all dimensions of physical and mental health (p <0.05). The time taken to reach the place of work appeared to influence the dimension of General Health (coeff. -0.17); we found a worsening of 0.17 points of this dimension for every minute spent in travel. Men and nurses with more working years had a better score in Physical Pain dimension. AOUS nurses scored significantly (p <0.05) less compared with the correspondent Italian general population in General Health, Energy-fatigue, Social functioning, Physical functioning and Bodily pain.

Conclusions: There is a significant relationship between night work and HRQL of nurses. The health profile of AOUS nurses' ranks below the values of the Italian general population in various dimensions.

MeSH terms

  • Adult
  • Cross-Sectional Studies
  • Family Characteristics
  • Fatigue / epidemiology
  • Female
  • Humans
  • Italy
  • Male
  • Middle Aged
  • Nursing Staff, Hospital / psychology*
  • Pain / epidemiology
  • Quality of Life*
  • Shift Work Schedule / psychology*
  • Smoking / epidemiology
  • Socioeconomic Factors
  • Surveys and Questionnaires
  • Transportation
  • Work Schedule Tolerance / physiology
  • Work Schedule Tolerance / psychology*