Validation of the Employment Precariousness Scale and its associations with mental health outcomes: results from a prospective community-based study of pregnant women and their partners in Dresden, Germany.
prospective_cohort · Level II
Where this comes from
- Record sourced from PubMed, PMID 39214661.
- Also identified by DOI 10.1136/bmjopen-2023-077206 and PMC identifier 11367369.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
To translate the Employment Precariousness Scale (EPRES) from Spanish into German (EPRES-Ge), adapt it to the German context, assess the psychometric properties and show prospective associations with mental health outcomes within the peripartum period. Analyses encompassed descriptive statistics, exploratory factor analysis, confirmatory factor analysis (CFA) to validate the structure of the EPRES, and multivariate regression analyses with mental health outcomes 8 weeks after birth. Self-report data from 3,455 pregnant women and their partners within the Dresden Study on Parenting, Work, and Mental Health prospective longitudinal cohort study were used. The EPRES-Ge with five dimensions and 20 items showed good internal consistency (Cronbach's α=0.77). All scales showed good reliability coefficients of α=0.73-0.85 and good item-subscale correlations of r=0.63-0.98, with the exception of subscale rights, which showed poor reliability of α=0.30 and item-subscale correlations of r=0.45-0.68. Exploratory analysis and CFA confirmed the proposed five-dimensional structure, explaining 45.08% of the cumulative variance. Regression analyses with mental health outcomes after birth revealed statistically significant associations (<i>β=</i>0.12-0.20). The EPRES-Ge is a valuable tool for assessing employment precariousness as a multidimensional construct. The scales could be adapted to the German working context. Precarious employment, as measured by the EPRES-Ge, is a determinant of mental health problems in young families.
Medical subject headings
- Employment
- Psychometrics
- Mental Health