9
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      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

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Abstract
          Objective

          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.

          Design

          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.

          Participants

          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.

          Results

          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 ( β=0.12–0.20).

          Conclusions

          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.

          Related collections

          Most cited references66

          • Record: found
          • Abstract: not found
          • Article: not found

          Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

            Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              The REDCap consortium: Building an international community of software platform partners

              The Research Electronic Data Capture (REDCap) data management platform was developed in 2004 to address an institutional need at Vanderbilt University, then shared with a limited number of adopting sites beginning in 2006. Given bi-directional benefit in early sharing experiments, we created a broader consortium sharing and support model for any academic, non-profit, or government partner wishing to adopt the software. Our sharing framework and consortium-based support model have evolved over time along with the size of the consortium (currently more than 3200 REDCap partners across 128 countries). While the "REDCap Consortium" model represents only one example of how to build and disseminate a software platform, lessons learned from our approach may assist other research institutions seeking to build and disseminate innovative technologies.
                Bookmark

                Author and article information

                Contributors
                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2024
                30 August 2024
                : 14
                : 8
                : e077206
                Affiliations
                [1 ]departmentDepartment of Psychotherapy and Psychosomatic Medicine, Faculty of Medicine , Technische Universität Dresden , Dresden, Germany
                [2 ]departmentInstitute and Policlinic of Occupational and Social Medicine, Faculty of Medicine , Technische Universität Dresden , Dresden, Germany
                [3 ]departmentInstitute for Community Medicine, Section Methods in Community Medicine , University Medicine Greifswald , Greifswald, Germany
                [4 ]departmentPublic Health , Pontificia Universidad Catolica de Chile , Santiago, Chile
                [5 ]departmentInstitute for Systems Medicine (ISM) and Faculty of Medicine , MSH Medical School Hamburg University of Applied Sciences and Medical University , Hamburg, Germany
                [6 ]departmentDepartment of Childhood and Families , Norwegian Institute of Public Health , Oslo, Norway
                Author notes

                Supplemental material This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.

                None declared.

                Author information
                http://orcid.org/0009-0000-5606-6568
                Article
                bmjopen-2023-077206
                10.1136/bmjopen-2023-077206
                11367369
                39214661
                36b6bb99-91e3-405c-a8c0-3e85bf6084f9
                Copyright © Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See:  https://creativecommons.org/licenses/by/4.0/.

                History
                : 28 June 2023
                : 21 May 2024
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001659, Deutsche Forschungsgemeinschaft;
                Award ID: GA 2287/4-1
                Award ID: GA 2287/4-2
                Categories
                Original Research
                Occupational and Environmental Medicine
                1716
                1506

                Medicine
                mental health,postpartum period,postpartum women,public health,psychometrics
                Medicine
                mental health, postpartum period, postpartum women, public health, psychometrics

                Comments

                Comment on this article