Work-family balance and the subjective well-being of rural women in Sichuan, China

BMC Womens Health. 2020 Jan 2;20(1):1. doi: 10.1186/s12905-019-0871-6.

Abstract

Background: Due to the great burden of family and the conflicts among family, society and career roles resulting from migrant working, rural women suffer more conflicts between work and family and need more social attention. Previous studies of the conflicts between family and work mainly focus on the group of career women, and there is a lack of the research on the conflicts between work and family of rural women, which needs to be systematically and further studied.

Methods: This study used a sample survey of 380 rural women in rural areas of Sichuan Province to measure rural women's cognition of work-family, coordination and handling of conflicts, post-conflict choices, and subjective well-being; the study constructs an ordered multi-class logistic regression model to explore the impact of work-family conflict on the subjective well-being of rural women in rural regions.

Results: The study result shows that: (1) The level of subjective well-being of rural women is generally high, and 70% of women feel satisfied or very satisfied. (2) The factor which impacts the subjective well-being among rural women most is work-interfering-with-family conflict, followed by work-family balance and confidence in conflict coordination.

Conclusion: This study can enhance our understanding of rural women in rural areas, and provide a reference for formulating policies to improve people's life satisfaction.

Keywords: China; Rural women; Subjective well-being; Work-family conflict.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • China / epidemiology
  • Diagnostic Self Evaluation*
  • Family Characteristics*
  • Female
  • Humans
  • Mental Health*
  • Needs Assessment
  • Personal Satisfaction*
  • Rural Population
  • Socioeconomic Factors
  • Transients and Migrants / psychology*
  • Work-Life Balance / statistics & numerical data*