Predictive factors of postpartum fatigue: a prospective cohort study among working women

J Psychosom Res. 2014 Nov;77(5):385-90. doi: 10.1016/j.jpsychores.2014.08.013. Epub 2014 Aug 30.

Abstract

Objectives: The aim of this study was to investigate which prepartum determinants contribute to the development of postpartum (PP) fatigue among working women in the Netherlands.

Methods: A prospective cohort study in 15 Dutch companies was conducted to measure different potential predictors using self-administrated questionnaires at baseline and at 30 weeks of pregnancy. Fatigue was measured at 12 (N=523) and 52 weeks (N=436) PP using the Checklist Individual Strength (CIS). A CIS score>76 was defined as fatigue.

Results: The prevalence of fatigue at 12 and 52 weeks PP was 24.5% and 18.1%, respectively. Fourteen predictive factors were found for fatigue (R(2)=0.37) at 12 weeks PP. Ten predictive factors were found for fatigue at 52 weeks PP (R(2)=0.36). In general, less favourable work relationships and characteristics, poorer mental health, more passive coping styles, more sleeping problems, more fatigue during pregnancy, and beliefs about child care arrangements were related to PP fatigue. At 30 weeks of pregnancy, only more fatigue (OR=3.69, p<0.001; OR=2.68, p=0.02) and poorer mental health (OR=0.50, p=0.02; OR=0.90, p=0.78) predicted fatigue both at 12 and 52 weeks PP.

Conclusions: A large number of predictive factors for PP fatigue were found. These findings indicate that different aspects can contribute to being fatigued after pregnancy. Further research is needed to investigate the effect of possible interventions by employers and/or occupational physicians.

Keywords: Cohort study; Fatigue; Postpartum; Pregnancy; The Netherlands; Working women.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adaptation, Psychological
  • Adult
  • Cohort Studies
  • Fatigue / epidemiology*
  • Fatigue / psychology
  • Female
  • Humans
  • Netherlands / epidemiology
  • Postpartum Period*
  • Predictive Value of Tests
  • Pregnancy
  • Prospective Studies
  • Risk Assessment
  • Risk Factors
  • Surveys and Questionnaires
  • Women, Working / psychology*