Predictors and Outcomes of U.S. Quality Maternity Leave: A Review and Conceptual Framework

Author:

Sterling Haley M.1ORCID,Allan Blake A.12

Affiliation:

1. Department of Educational Studies, Purdue University, West Lafayette, IN, USA

2. Department of Psychological, Health, and Learning Sciences, University of Houston, TX, USA

Abstract

Maternity leave includes the time that mothers take off from work to care for their baby and heal after childbirth. The United States’ maternity leave provisions lag behind other industrialized countries, resulting in poor quality maternity leave (QML) for many mothers. Accordingly, scholars have begun examining QML, a new construct that captures mothers’ subjective experiences of their leave, including dimensions like time off and flexibility. However, researchers know little about predictors and outcomes of QML. Therefore, in this literature review, we will integrate societal-, work-, and individual-level predictors as well as well-being and work-related outcomes of maternity leave into a testable conceptual framework for QML. This review has important implications for U.S. policy makers and organizations regarding their support of mothers. Future research should continue to build this framework to ensure that mothers and parents in the United States and internationally are provided the QML they need to thrive.

Publisher

SAGE Publications

Subject

Organizational Behavior and Human Resource Management,General Psychology,Applied Psychology,Education

Reference17 articles.

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