0156 Predictors of sickness absence in pregnancy - a Danish cohort study

Mette Lausten Hansen, Ane Marie Thulstrup, Jette Kolding Kristensen, Mette Juhl, Cecilia Ramlau-Hansen

Research output: Contribution to conference without publisher/journalConference abstract for conferenceResearchpeer-review

Abstract

OBJECTIVES: To investigate if parity, fertility treatment, body mass index (BMI), time to pregnancy (TTP), and engagement in physical exercise are risk factors for sickness absence during pregnancy weeks 10 to 30.

METHOD: We use data from The Danish National Birth Cohort (DNBC) and the Danish Register for Evaluation of Marginalisation (DREAM). DNBC contains information on 100 418 pregnancies included from 1996 until 2002. Around pregnancy weeks 12-16 the participants were interviewed by telephone and provided information on potential predictors, on occupational exposures, lifestyle factors and health. We excluded women, who were no longer pregnant at the time of the interview, were unemployed, multiple pregnant or had an obstetrical event within one year before the DNBC pregnancy. This resulted in a study population of 65 047 pregnancies. Outcome data were retrieved from DREAM, which contains information on sickness absence on a weekly basis. Data will be analysed using multivariate logistic regression models.

RESULTS: Mean age of the participants was 30.5 years, 46% were nulliparous, 6.3% received fertility treatment, mean BMI was 23.6 kg/m(2). Prevalence of sickness absence until pregnancy week 30 was 36%. Preliminary results indicate that sickness absence is related to fertility treatment and obesity. Women receiving fertility treatment had increased odds of sickness absence in pregnancy week 30; OR: 1.31 (95% CI: 1.21-1.42). Obese women had increased odds of sickness absence compared to normal weight women; OR: 1.37 (95% CI: 1.28-1.48). More statistical analyses will be conducted.

CONCLUSIONS: Final results and conclusions will be presented at the conference.

Original languageEnglish
Publication dateJun 2014
DOIs
Publication statusPublished - Jun 2014
Externally publishedYes

Fingerprint Dive into the research topics of '0156 Predictors of sickness absence in pregnancy - a Danish cohort study'. Together they form a unique fingerprint.

Cite this