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Predictors and Outcomes of U.S. Quality Maternity Leave: A Review and Conceptual Framework
Journal of Career Development ( IF 2.6 ) Pub Date : 2021-08-05 , DOI: 10.1177/08948453211037398
Haley M. Sterling 1 , Blake A. Allan 1, 2
Affiliation  

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.



中文翻译:

美国优质产假的预测因素和结果:回顾和概念框架

产假包括母亲下班照顾婴儿和产后康复的时间。美国的产假规定落后于其他工业化国家,导致许多母亲的产假(QML)质量不佳。因此,学者们开始研究 QML,这是一种新的结构,可以捕捉母亲休假的主观体验,包括休假和灵活性等维度。然而,研究人员对 QML 的预测因素和结果知之甚少。因此,在这篇文献综述中,我们将把社会、工作和个人层面的预测因素以及产假的幸福和工作相关结果整合到一个可测试的 QML 概念框架中。该评论对美国政策制定者和组织在支持母亲方面具有重要意义。

更新日期:2021-08-05
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