Gender Division of Labor, Burnout, and Intention to Leave Work Among Young Female Nurses in Japan: A Cross-Sectional Study

Int J Environ Res Public Health. 2019 Jun 21;16(12):2201. doi: 10.3390/ijerph16122201.

Abstract

Women in Japan face difficulties balancing work and personal life due to the gender division of labor, and medical professions are no exception. The purpose of this study was to investigate if the gender division of labor affects the intention to leave the workplace among the nursing profession. Among 328 female nurses working for three university-affiliated hospitals in Tokyo, Japan, above 70% were in their 20s and 30s and single, and agreed with the gender division of labor that men should be the breadwinner and women should assume family responsibilities. Adjusting for three types of Copenhagen burnout inventory, stepwise multivariable logistic regression models identified that being younger (all p-values < 0.05), each domain of burnout score (each p < 0.001 for work-, personal-, and client-related burnout) increased a risk of intention to leave, and high support decreased the risk (all p < 0.001). Women who agreed with the gender division of labor were more likely to have intentions to leave (p = 0.003 but this association disappeared when adjusted. The findings of study demonstrate that perceptions toward gender division of labor are not a determinant of intention to leave the workplace but the young nurses and those who scored high on burnout were the most vulnerable population.

Keywords: burnout; gender division of labor; intention to leave; job stress; nurse; support; work-family conflict.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Burnout, Professional / epidemiology*
  • Burnout, Professional / psychology*
  • Cross-Sectional Studies
  • Female
  • Hospitals, University
  • Humans
  • Intention*
  • Middle Aged
  • Nursing Staff, Hospital / psychology*
  • Nursing Staff, Hospital / statistics & numerical data
  • Personnel Turnover / statistics & numerical data*
  • Tokyo / epidemiology
  • Work-Life Balance / statistics & numerical data*
  • Young Adult