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Exploring the Impact of Maternity Leave

A meta analysis of maternity leave
How maternity leave affects maternal and infant physical health?
Abstract
Maternity leave is a policy that critically impacts both mother's and infant’s health, both physical and mental.Despite the International Labour Organization’s recommendation of at least 18 weeks, the implementation of maternity leave remains questionable and differs significantly globally. This meta-analysis examines the impact of maternity leave duration and pay on breastfeeding intentions and maternal and infant physical health. 14 transnational studies were selected from an initial pool of 3,487 through PubMed, following the Preferred Reporting in Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A possible causal relationship between exposure to lack of maternity leave and health outcomes was constructed, suggesting a premature return to work may induce physical and mental stress, ultimately adversely affecting health behaviors. Using the R language and R studio, a forest plot was constructed to analyze the correlation between maternity leave duration and breastfeeding outcomes. Due to the studies’ high heterogeneity, summary tables were employed to assess maternity leave’s impact on mother and infant physical health. Results indicate that shorter maternity leave (<12 weeks) is significantly associated with reduced breastfeeding rates, with both the fixed and random-effects models demonstrating combined odds ratio of less than 1 across all studies. While maternal physical health shows a marginally positive association with extended, paid leave, the correlation with infant health varies by the general income levels of study populations. Despite recent year’s accumulating evidence, global legislative support remains inadequate. This analysis underscores the need for policies to support maternity leave to enhance health outcomes for mothers and infants. Further research will enhance these associations between maternity leave and health outcomes.

Introduction

Figure 1. Paid maternity leave duration world policies as of Janurary 2022 (World Policy Analysis Center)
The World Health Organization (WHO) defines “maternity leave duration” as “the mother's right to a period of rest in relation to childbirth” to be “a crucial means of safeguarding health and nutrition of the mother and her child”. While the International Labour Organization (ILO) (Recommendation No. 191) suggests maternity leave to be at least 18 weeks, the global average is only 16.3 weeks (up to February 2024) [1] [2]. In addition, countries such as the United States and Papa New Guinea do not mandate paid maternity leave legislatively despite the ILO stating that cash benefits should not be less than two-thirds of the woman's earnings prior leave to be the bare minimum standard [3].
In recent years, the importance of maternity leave increasingly elevates, having been consistently linked to maternal and infant health within international contexts. In particular, maternity leave is linked to inducing benefits such as decrease in postpartum depression [4], early childhood outcome improvements [5], reduction of maternal physical and mental health complaints, increase in mother-child interaction [6] and more. Maternity leave not only allows bonding with and development of the child, but also provides the necessary time for the mother to rest and recover before turning to the workforce. Maternity leave is also critically associated with a mother’s intention and action of breastfeeding, vitally influencing the health of both [7]. This study aims to investigate the effect of maternity leave duration and pay on breastfeeding intentions, maternal and infant physical health, evaluating both positive and negative feedback indicators. Through meta-analysis, this association is examined by exploration of 14 studies on a transnational level. The aim of this investigation is to provide evidence and recommendations for policy makers to better support maternal health.
[1] World Health Organization, ‘Maternity Protection: Compliance with International Labour Standards’, 2024, https://www.who.int/data/nutrition/nlis/info/maternity-protection-compliance-with-international-labour-standards.
[2] IRIS FMP, ‘Global Maternity & Paternity Leave Statistics’, February 2024, https://fmpglobal.com/resources/guides/maternity-paternity-leave-statistics-around-the-globe/.
[3] WORLD Policy Analysis Center, ‘How Much Paid Leave Is Reserved for Mothers of Infants?’, January 2022, https://www.worldpolicycenter.org/policies/how-much-paid-leave-is-reserved-for-mothers-of-infants.
[4] Liliana Hidalgo-Padilla et al., ‘Association between Maternity Leave Policies and Postpartum Depression: A Systematic Review’, Archives of Women’s Mental Health 26, no. 5 (October 2023): 571–80, https://doi.org/10.1007/s00737-023-01350-z.
[5] Ellie Andres et al., ‘Maternity Leave Access and Health: A Systematic Narrative Review and Conceptual Framework Development’, Maternal and Child Health Journal 20, no. 6 (June 2016): 1178–92, https://doi.org/10.1007/s10995-015-1905-9.
[6] Madeline Dixon Whitney et al., ‘Length of Maternity Leave Impact on Mental and Physical Health of Mothers and Infants, a Systematic Review and Meta-Analysis’, Maternal and Child Health Journal 27, no. 8 (August 2023): 1308–23, https://doi.org/10.1007/s10995-022-03524-0.
[7] ‘Breastfeeding Initiation and Duration in First-Time Mothers: Exploring the Impact of Father Involvement in the Early Post-Partum Period - PMC’, accessed 29 July 2024, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4300437/.
Methedology
The exposure for this study was determined to be no maternity leave or leave without pay. The investigated health outcomes are set as breastfeeding, maternal physical health and infant physical health. A total of 3487 studies were identified through the PubMed database using the following search strings: “maternal leave OR family leave OR paid parent leave OR maternity leave OR parent leave AND physical health” and “breastfeeding OR breast feeding AND employment OR maternity leave OR maternal leave” during the period of 2000 to 2024. Following the PRISMA selection guidelines, 3410 studies were excluded including systematic reviews, clinical trials and duplicates. 63 studies were excluded due to ineligible data, outcomes, exposures or study types. The remaining 14 studies were analyzed. The flow of information is shown by the PRISMA diagram in Fig. 2.
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Breastfeeding outcomes were considered a positive indicator of both maternal and infant physical health and could be evaluated qualitatively across studies. Hence using R studio and the R language, 5 studies were used to construct a forest plot for the visualization of risk-outcome relationship and heterogeneity assessment. However as the specific health indicators measured in the remaining articles were too heterogeneous, summary tables were used to display the specific risk-outcome relationship for maternal and infant health.

Figure 2. Flow diagram of study selection
Results

Figure 3. Logic model of the possible causal relationship between exposure to lack of (paid) maternity leave and health outcomes: breastfeeding outcomes, maternal and infant physical health

Figure 4. Main meta-analysis of prioritized evidence (cohort studies), outcome: breastfeeding outcome, Comparison: short maternity leave compared with longer maternity leave

Table 1. Support meta-analysis of supporting evidence (cohort studies), outcome: physical health of mother, Comparison: no/short/non-paid maternity leave compared with longer and paid maternity leave

Table 2. Support meta-analysis of supporting evidence (cohort studies), outcome: physical health of infant, Comparison: no/short/non-paid maternity leave compared with longer and paid maternity leave
Fig. 3 presents the logic model for this investigation, demonstrating the casual relationship between exposure to maternity leave and leave without pay and breastfeeding outcomes as well as infant and maternal physical health indicators. This logic model, inferred from literature review, was designed with a process-focused approach and attempts to illustrate the complex causal pathways linking risk factors to outcomes. Multiple variables may mediate the effect of maternity leave on health outcomes through 2 pathways. The first pathway focuses on potentially health-detrimental behaviors such as unhealthy diet, lack of nutrition and exercise, birth delivery mode and fatigue. The second pathway emphasizes on the significance of stress physiologically, affecting both the nervous and immune system activity of the mother. These mediators are all established risk factors affecting maternal and or infant health [1] [2]. Effect modifiers in this model include socioeconomic status (SES), marriage status, single child status, occupation, county, father involvement, length of maternity leave, and social support. These result in different accesses to additional resources and support systems, which may mitigate health effects or conversely, intensify stress and health risks associated with inadequate leave. Confounders include age, income, education, and financial situation (all aspects of SES). These factors independently influence both leave accessibility and health outcomes directly. A higher SES may lead to better health outcomes regardless of maternity leave, creating a potential confounding effect in the analysis.
The cut-off point for maternity leave was determined to be 12 weeks and yes/no for breastfeeding outcomes. The forest plot in Fig. 4 reveals that all the individual studies' odds ratios (ORs) are less than 1, suggesting that shorter maternity leave (<12 weeks) is associated with lower odds of breastfeeding. In addition, both the fixed and random-effects models show a combined odds ratio less than 1, indicating a consistent finding across studies that shorter maternity leave is associated with lower breastfeeding rates. The random-effects model also has a wider confidence interval (CI) than the fixed-effect model, reflecting the high heterogeneity (I² = 85%) among the studies. The CIs for both the fixed-effect and random-effect models do not cross 1, suggesting that the association is statistically significant. Hence Fig. 4 demonstrates that across multiple studies, shorter maternity leave is consistently associated with lower odds of breastfeeding. The high heterogeneity (I² = 85%) suggests variability among studies, making the random-effects model more appropriate for interpreting the combined effect. Both models suggest a significant association, with the random-effects model accounting for between-study differences.
​*While 3 of the 5 studies all display Mirkvoic to be the first author, note that these studies all investigated different exposures, outcomes and data samples.
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The correlation between maternal physical health and maternity leave length or pay varies significantly in the studies review in this investigation. Five of the seven studies suggest a marginal positive correlation. The Grice study [3] suggests that high levels of work-to-interpersonal family conflict is weakly negatively associated with maternal physical health. The Tucker study [4] suggests mothers of high economic hardship generally suffered worse levels of physical health and less stable trajectories. The Hewitt study [5] observed improved maternal health with the introduction of a paid parental leave program of 18 weeks, although minimal. The Dagher study [6], using two statistical methods for analysis, indicates a marginally significant linear positive association between leave duration and physical health. The Chatterji study [7] suggests less than 8 weeks of paid leave is associated with a reduction in overall health status. The Jou study [8], however, reveals a 51% decrease in the odds of re-hospitalization postpartum for mothers with paid leave compared to those of unpaid or no leave. They also had 1.8 times odds of doing well with exercise and stress management. Yet the Ahammer [9] study suggests long-term maternal health is not affected by the extension of leave from 6 to 8 weeks. Hence comprehensively, the studies reviewed demonstrate a generally positive yet minimal relationship between maternal physical health and leave, suggesting an extension in leave duration or pay would likely potentially induce health benefits for mothers.
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Similarly, the association between maternity leave and infant physical health also varies. The Jou study[10] suggests women who took paid maternity leave experienced a 47% decrease in the odds of re-hospitalizing their infants. No significant differences, however, were found between women taking 12 or fewer weeks and women taking no paid maternity leave. Furthermore, though infant overall health status improves when paid leave increases to 7-12 weeks, it decreases back to previous levels when leave is extended beyond 12 weeks. The Ahammer study [11] also finds no evidence for significant effects of leave extension on children’s health at birth or long-term health, including low birth weight. The Sydsjö study confirms that use of social benefits and increased rest during pregnancy did not significantly influence birth weight. Yet the Dinh study [12] suggests the occurrence of infant low birth weight is significantly linked to pre-natal maternity leave duration. The heterogeneity of leave duration association with birthweight between different studies may thus be attributed to the vast distinction in national incomes between the nations of Austria, Sweden and Vietnam, as mentioned particularly in the Dinh study. Comprehensively, it may be concluded there generally exists a weak, if any, association between short-term infant health and maternity leave duration for developed nations while this association may be significant in poorer countries. However, more research is warranted for further confirmation.
The ROBINS-I tool is used to assess the risk of bias of all 14 studies investigated to evaluate the effectiveness of their respective interventions as randomisation could not be used to allocate interventions in the case of maternity leave. Traffic light diagrams are constructed for studies relating to each of the three outcome, evaluating study design, results and presentation, providing an overall judgement of risk of bias (Fig. 5, 6, 7.).​
[1] Andres et al., ‘Maternity Leave Access and Health’.
[2] Whitney et al., ‘Length of Maternity Leave Impact on Mental and Physical Health of Mothers and Infants, a Systematic Review and Meta-Analysis’.
[3] Mira M Grice et al., ‘Giving Birth and Returning to Work: The Impact of Work-Family Conflict on Women’s Health after Childbirth.’, Annals of Epidemiology, 24 August 2007, https://doi.org/10.1016/j.annepidem.2007.05.002.
[4] Jenna N Tucker et al., ‘Return to Work, Economic Hardship, and Women’s Postpartum Health.’, Women & Health, n.d., https://doi.org/10.1080/03630242.2010.522468.
[5] Belinda Hewitt, Lyndall Strazdins, and Bill Martin, ‘The Benefits of Paid Maternity Leave for Mothers’ Post-Partum Health and Wellbeing: Evidence from an Australian Evaluation.’, Social Science & Medicine (1982), 14 April 2017, https://doi.org/10.1016/j.socscimed.2017.04.022.
[6] Rada K Dagher, Patricia M McGovern, and Bryan E Dowd, ‘Maternity Leave Duration and Postpartum Mental and Physical Health: Implications for Leave Policies.’, Journal of Health Politics, Policy and Law, 4 December 2013, https://doi.org/10.1215/03616878-2416247.
[7] Pinka Chatterji and Sara Markowitz, ‘Family Leave after Childbirth and the Mental Health of New Mothers.’, The Journal of Mental Health Policy and Economics, n.d.
[8] Judy Jou et al., ‘Paid Maternity Leave in the United States: Associations with Maternal and Infant Health.’, Maternal and Child Health Journal, n.d., https://doi.org/10.1007/s10995-017-2393-x.
[9] Alexander Ahammer, Martin Halla, and Nicole Schneeweis, ‘The Effect of Prenatal Maternity Leave on Short and Long-Term Child Outcomes.’, Journal of Health Economics, 30 January 2020, https://doi.org/10.1016/j.jhealeco.2019.102250.
[10] Judy Jou et al., ‘Paid Maternity Leave in the United States: Associations with Maternal and Infant Health.’
[11] Alexander Ahammer, Martin Halla, and Nicole Schneeweis, ‘The Effect of Prenatal Maternity Leave on Short and Long-Term Child Outcomes.’
[12] P H Dinh et al., ‘Maternal Factors Influencing the Occurrence of Low Birthweight in Northern Vietnam.’, Annals of Tropical Paediatrics, n.d., https://doi.org/10.1080/02724936.1996.11747845.

Figure 5. Risk of bias summary: breastfeeding outcomes

Figure 6. Risk of bias summary: physical health of mother

Figure 7. Risk of bias summary: physical health of infant
Discussion

The relationship between the length and pay of maternity leave and its effects on maternal and infant health is complex. While it is well-established that the prenatal and postpartum periods are crucial for both maternal recovery and infant development, this relationship may differ significantly under different contexts such as the level of a country’s development. Maternity leave also intersect with broader issues of workplace norms and national policy considerations, reflecting how cultural and political contexts shape leave. This analysis discovers that shorter maternity leave is consistently associated with lower odds of breastfeeding. This finding is consistent with other existing systematic reviews. Shorter maternity leave or unpaid leave is also marginally positively associated with maternal physical health while the association with infant physical health is debated across studies, warranting further research. Recent studies exploring the link between maternal/infant physical health and leave has explored other health indicators such as more positive mother–child interactions and decreased infant mortality, though the link is not as established as that of maternal mental health. With consideration of the logic model (Fig. 3), mandating mothers to return to the workforce prematurely may induce both physical and mental stress, thereby leading to behaviors detrimental to health including unhealthy diet and exercise, in addition to reduction in breastfeeding duration and intention. Despite the vast amount of supporting data highlighting the critical importance of maternity leave for both mother and child, legislative regulation enforcement on a worldwide scale is still not up to date.
One limitation of this study is the lack of uniform measure for all exposures. Due to the high heterogeneity between the studies’ exposures and methods, a uniform measure could not be decided, and hence minimal assumptions and categorization were implemented where necessary, potentially introducing some selection bias. Some studies also included subjective outcome measures and predictions, underscoring the need for more standardized assessment tools in this area of health research. Additionally, to compare the breastfeeding outcomes quantitatively, exposures were made into binary variables during calculation which may introduce simplification bias by not accounting for nuances in leave duration and pay levels. However robust cohort studies were discussed in combination, allowing a general conclusion to be reached.
Conclusion
Further study is needed to determine the significance of association between maternity leave and maternal/infant physical health as well as comparison between high- and low-income countries of that association. Although maternity leave duration is shown to correlate with breastfeeding outcomes, this association for more detailed measures such as breastfeeding duration or intention need to be specified. The link between maternity leave and pay is clearly inseparable with maternal and infant health and needs to be taken into consideration when constructing relevant public health or work policies and legislatives. This investigation aims to research the relationship between maternity leave and health using a meta-analysis approach. It is performed in hopes of contributing more evidence to the necessity of maternity leave and for promotion of policy implementation that prioritizes maternal and infant health.
