Sickness absence in pregnancy and sedentary behavior: a population-based cohort study from Norway

BMC Public Health. 2019 Jan 16;19(1):71. doi: 10.1186/s12889-018-6379-4.

Abstract

Background: Sickness absence in pregnancy accounts for a large part of sickness-related absenteeism among women. Exercise in pregnancy is associated with a lower level of sickness absence, however little is known about how sedentary behaviour is related to sickness absence in pregnancy. In the current study, we hypothesize a positive association between sedentary hours/day and the risk of long-term sickness absence.

Methods: Population-based cohort study of pregnant women attending three Child Health Clinics in Groruddalen, Oslo, 823 Women (74% of those eligible) were included between 2008 and 2010. Questionnaire data were collected at gestational weeks 10-20 (visit 1) and 28 (visit 2). Sedentary time and physical activity were objectively recorded at visit 1 with the multi-sensor SenseWear™ Pro3 Armband (SWA). Long-term sickness absence was self-reported at visit 2. We explored the association between sedentary time and long-term sickness absence in pregnancy using multiple logistic regression analysis.

Results: The odds of long-term sickness absence was significantly increased per one-hour increase in daily sedentary time (odds ratio 1.45 [95% confidence interval 1.13-1.84]), providing support for our hypothesis that sedentary time is positively associated with long-term sickness absence.

Conclusions: Pregnant women with a sedentary lifestyle have a higher risk of long-term sickness absence from work. Reducing sedentary time in pregnancy may improve health, and may, in turn reduce sickness absence in pregnancy.

Keywords: Maternal health; Physical activity; Pregnancy; Sedentary behaviour; Sedentary time; Sick leave; Sickness absence.

MeSH terms

  • Adult
  • Cohort Studies
  • Female
  • Humans
  • Norway
  • Pregnancy
  • Pregnant Women / psychology*
  • Risk Assessment
  • Sedentary Behavior*
  • Sick Leave / statistics & numerical data*
  • Surveys and Questionnaires