Long-Term Effect of Having a Child at Risk of Developmental Delays on Parental Labor Force Participation

Matern Child Health J. 2024 Jun;28(6):1052-1060. doi: 10.1007/s10995-024-03897-4. Epub 2024 Feb 9.

Abstract

Objective: This study aimed to examine the long-term influence of having a child at risk of different developmental delays (communication, mobility, self-care, relating, learning, coping, or behaving) on parental labor force participation as the child grows.

Method: A retrospective cohort was conducted using data from the Longitudinal Study of Australian Children survey, Waves 1-8 covering birth to 15 years of age of children. Multivariable logistic regressions were used to explore the odds ratio of mothers being out of the labor force at different children's ages. Cox proportional hazards models were utilized to identify the 'risk' of mothers returning to the workforce after leaving. All models were adjusted for the mother's age, education attainment, and employment status at time of birth, as well as marital status at the current wave.

Results: There were 5,107 records of children, and 266 of them were at risk of any developmental delays at age 4-5 years. This sample represents 243, 026 children born in Australia in 2003/04. After adjusting for potential confounders, mothers of children at risk of each type of developmental delay (except mobility and self-care) had greater odds of being out of, and not returning to the labor force from children aged 2-3 to 14-15 years, when compared to mothers of children who are not at risk of developmental delays. Similar differences were found for fathers but were distinctly small and with narrower fluctuations, compared to mothers.

Conclusion: Policies and programs funded by the government are greatly needed to support the mothers of children at risk of developmental delays.

Keywords: Children; Developmental delay; Labor force participation.

MeSH terms

  • Adolescent
  • Adult
  • Australia
  • Child
  • Child, Preschool
  • Developmental Disabilities* / epidemiology
  • Employment* / statistics & numerical data
  • Female
  • Humans
  • Infant
  • Infant, Newborn
  • Logistic Models
  • Longitudinal Studies
  • Male
  • Mothers* / psychology
  • Mothers* / statistics & numerical data
  • Proportional Hazards Models
  • Retrospective Studies
  • Risk Factors
  • Socioeconomic Factors