Study characteristical and regional influences on postpartum depression before vs. during the COVID-19 pandemic: A systematic review and meta-analysis

Background: While the public is under serious pressure from the coronavirus disease 2019 (COVID-19), the final impact and possible contributing factors to postpartum depression symptoms (PPDS) remain unknown. Therefore, a meta-analysis to investigate the association between PPDS and the COVID-19 pandemic was carried out by comparing the data between pre-pandemic and post-pandemic timeframes and exploring the influencing factors.

Methods: This systematic review was prospectively registered and recorded in a study protocol (Prospero CRD42022336820, http://www.crd.york.ac.uk/PROSPERO). A comprehensive search of PubMed, Embase, Web of Science, CINALH, Cochrane and Scopus was cmpleted on June 6, 2022. Studies that compared the prevalence of PPD before and during the COVID-19 pandemic period were included.

Results: Of 1766 citations identified, 22 studies were included with 15,098 participates before the COVID-19 pandemic and 11,836 participants during the COVID-19 pandemic. Overall, the analysis showed that the epidemic crisis was associated with an increased prevalence of PPDS (OR: 0.81 [0.68, 0.95], P = 0.009, I² = 59%). Subgroup analysis was conducted according to the study characteristics and regions. Within the study characteristics classification, results showed an obvious increase in the prevalence of PPDS during the COVID-19 pandemic if PPDS cutoff was defined as Edinburgh postpartum depression score (EPDS) ≥13 points (OR: 0.72 [0.52, 0.98], P = 0.03, I² = 67%) and an increased prevalence in follow-ups that happened after 2 weeks (≥ 2 weeks postpartum) (OR: 0.81 [0.68, 0.97], P = 0.02, I² = 43%). Selected studies that were high-quality (OR: 0.79 [0.64, 0.97], P = 0.02, I² = 56%) demonstrated an increased prevalence of PPDS during the COVID-19 pandemic period. Sorting by regional factors, studies conducted in Asia (OR: 0.81 [0.70, 0.93], P = 0.003, I² = 0%) showed an increase of PPDS prevalence rates during the COVID-19 period, while studies conducted in Europe (OR: 0.82 [0.59, 1.13], P = 0.23, I² = 71%) and North America (OR: 0.66 [0.42, 1.02], P = 0.06, I² = 65%) showed no significant difference. All studies conducted in the developed (OR: 0.79 [0.64, 0.98], P = 0.03, I² = 65%) and developing countries (OR: 0.81 [0.69, 0.94], P = 0.007, I² = 0%) showed an increase of PPDS during the COVID-19 period.

Conclusions: The COVID-19 pandemic is associated with an increased prevalence of PPDS, especially after long-term follow-up and among the group with a high possibility of depression. The negative influence from the pandemic, causing more PPDS was significant in studies from Asia.

1. Introduction

The Coronavirus disease 2019 (COVID-19) pandemic spread rapidly from Wuhan, China to the world and quickly developed into a global crisis (1). Confronted with the rapid increase in the number of infections and the uncertainty of the outcome, people in the whole world are facing varying degrees of psychological pressure. The fear of the COVID-19 infection and the strict isolation measures have produced a negative impact on the mental health of people (2, 3).

The term postpartum depression (PPD) refers to episodes of depression that usually appear within 4 weeks of delivery and can last for years (4). Postpartum women are more susceptible to clinical depression, marked by agitation, mood swings and sleep disorders (1, 5). Postpartum depression symptoms (PPDS) are one of the most common mental problems affecting 10–17% of postpartum individuals and causing significant morbidity and mortality (6–8). Suicide caused by postpartum mental problems accounts for about 20% of postpartum deaths (9). In addition, postpartum depression during this period can negatively influence the health and emotional development of newborns which can become a burden on both families and societies (10).

It is likely that those who already suffer from physical or mental health conditions, such as postpartum depression, will be most adversely affected by the current pandemic (11). Recently, numerous studies focused on the effect of the COVID-19 pandemic on PPDS, have produced conflicting results. Several studies demonstrated that the prevalence of PPDS is unchanged or even decreased during the COVID-19 pandemic (12–14), while others identified an increased prevalence (15–17). Yan et al. (18) included three studies in their meta-analysis and concluded that the prevalence of postpartum depression was 22%, while Shorey et al. (19) included five studies and demonstrated that the prevalence of postpartum depression was 17% during the COVID-19 period. Hessami et al. (20) evaluated the effect of the COVID-19 pandemic on the depression of women during pregnancy and the perinatal period through meta-analysis and found that the COVID-19 pandemic seems to have no significant influence on the diagnosis of depressive symptoms. Yet, only limited studies have compared the negative effect from the COVID-19 pandemic to postpartum women (21). Therefore, the goal of this systematic review and meta-analysis is to investigate the impact of the COVID-19 pandemic on the prevalence of PPDS by comparing the data from the pre-pandemic and post-pandemic timeframes, and exploring possible influencing factors from different subgroups of study characteristics and regions.

2. Methods

2.1. Protocol and registration

This systematic review was prospectively registered and recorded in a study protocol (Prospero CRD42022336820, http://www.crd.york.ac.uk/PROSPERO). This study was based on the Meta-Analysis of Observational Studies in Epidemiology (MOOSE) guidelines (22) and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement (23).

2.2. Eligibility criteria

Studies that reported the prevalence of PPDS during the postpartum period before and during the COVID-19 pandemic were included. Studies were eligible if they met the following criteria: (a) data were available during both pre- and post-pandemic timeframes and data for the postpartum period (b) utilized standardized and validated rating scales for measurement and (c) applied a clear cutoff for screening and defining PPDS. The time of the postpartum period was not limited. No restrictions were applied on the basis of the study setting, the study design, or the country.

Studies were excluded from this review if they met the following criteria: (a) not original articles such as commentaries, editorials, case reports, letters to editor, review studies, conference abstracts, etc.; (b) irrelevant studies or animal studies; (c) insufficient information was provided to calculate the prevalence of PPDS before and during the COVID-19 pandemic timeframe; (d) if a study included hypothetical or unquantified results (no supportive statistical evidence of analyzed outcome); (e) full-texts were inaccessible; or (f) data were presented in any language other than English.

2.3. Information sources

Six electronic databases (PubMed, Embase, Web of Science, CINALH, Cochrane and Scopus) were searched for related studies. Additional eligible articles were identified by manually searching cross-references of relevant articles (snowballing technique). The search was performed on June 6, 2022. We referred to the PICO-style approach and used combinations of the descriptors “postpartum/postnatal”, “depression/mental health” and “COVID-19 pandemic” in English, applying all their synonyms and associated word variants, and searching titles, abstracts, keywords, and the Mesh Terms. The search was limited to 2019 onwards, since COVID-19 officially started in 2019. A detailed approach of the search strategy is described in Appendix A.

2.4. Study selection

Search data were exported to a citation program (Endnote X9), duplicates were discarded, and the final Endnote file was uploaded to the internet intelligent systematic review tool (Rayyan). The cataloging and organizing of the evidence were performed separately by the two primary reviewers (XQ.Z, C.W). Disagreements were resolved by group discussion or consultation with a third party (M.V, B.A, F.B). The final assessment was carried out together by one primary and three senior authors (XQ.Z, M.V, B.A, F.B).

2.5. Data extraction

For previously published data, only the most comprehensive articles have been included in this meta-analysis. The extracted data was as follows: first author name, publication year, study country, study population, study type, study quality, study period, and population age (Table 1). Data extraction was performed by the two primary reviewers. Discrepancies were resolved by discussion and consensus with a third party. Authors of the original publications were contacted in cases of missing data.

TABLE 1

Table 1. Characteristics of the included studies on postpartum depression (before COVID-19 vs. during COVID-19).

2.6. Risk of bias assessment

The two primary authors (XQ.Z/C.W) independently evaluated the risk of bias of the included studies using the Newcastle-Ottawa Scale (NOS) (40) to estimate the quality of the included studies. In the case of disagreement, a third party joined the discussion to determine a final decision. The final assessment was carried out together by three senior authors. Studies with a quality rating of five or greater were included in this meta-analysis. Studies with a score of seven or greater were classified as high-quality studies with the others being classified as moderate-quality studies (Table 1).

2.7. Statistical analysis and synthesis of results

The statistical software programs, Review Manager (RevMan 5.3) and Stata 12.0, were used for statistical analysis in this study. Chi-squared statistics and I² tests were used to calculate heterogeneity (41) and the random effects model was used to deal with anticipated clinical heterogeneity. We conducted a sensitivity analysis to evaluate the effect of each included study by the comman of “metaninf” on Stata 12.0 (Supplementary Image 1). The Egger's test (42) and the Begg's test (43) were used to evaluate potential publication bias.

2.8. Subgroup analyses

Two predefined subgroup analyses and four exploratory subgroup analysis requested by the two primary reviewers (XQ.Z, C.W) were carried out based on the following classifications:

Study characteristics:

A. Cut-off value of different assessment scales [predefined; cut-off value 9-11 and cut-off value ≥13 of Edinburgh Postnatal Depression Scale (EPDS)].

B. Follow-up duration (predefined; within 2 weeks after delivery and more than 2 weeks after delivery).

C. Different study quality (exploratory; high-quality studies and moderate-quality studies).

Regional subgroups

D. Study continents (exploratory; Europe vs. Asia vs. North America).

E. Different country types (exploratory; developed countries vs. developing countries).

3. Results

3.1. Description of studies

3.1.1. Study selection

The initial search provided a total of 1,766 articles of which 755 were deleted because of duplication. Another 1,011 articles were then excluded after screening titles and abstracts, and 122 items were evaluated for eligibility. Ultimately, 22 (12–17, 24–32, 34–39, 44) studies were selected for quantitative synthesis. Figure 1 demonstrated the detailed process of the literature search. The follow-up duration ranged from one day after delivery to 13 months after delivery in different studies.

FIGURE 1

Figure 1. PRISMA study selection flow diagram.

3.1.2. Study characteristics

Table 1 outlines the detail characteristics of the included studies. A total of 22 studies with 11,836 participants during the COVID-19 pandemic timeframe and 15,098 before the COVID-19 pandemic timeframe were included in this meta-analysis. Among the 22 studies, 11 studies were conducted in Europe [two in Belgium (14, 37), two in Italy (15, 33), two in Spain (32, 34), one in Russia (39) and remaining four were in Germany (17), Norway (26), Poland (24) and Netherlands (25)], six studies were conducted in Asia [two in Japan (12, 27), two in China (28, 30) and two in Israel (13, 35)], three studies were conducted in North America [two in Canada (16, 29) and one in the United States (38)] and the remaining two studies were conducted in Brazil (31) and Kenya (36). Four of the included studies were conducted in developing countries (28, 30, 31, 36) and the remaining 18 studies were conducted in developed countries. Five of the included studies detected the mental health of women within 2 weeks postpartum (13, 15, 28, 33, 35) and the other 17 studies recorded the mental health of the women within a longer time after delivery. The study quality of 11 studies were high (14–17, 25, 30, 32, 33, 35, 38, 39) and the other 11 studies were moderate. Nine studies which used the EPDS scale chose a cut-off value of 9–11 (12, 17, 27, 28, 32, 34, 35, 38, 39), while another eight studies chose a cut-off value of ≥13 (14–16, 25, 29–31, 33). Three studies compared different cut-off values (9–11 and ≥13) (13, 24, 37). Among the 22 studies, 20 studies assessed PPDS by using the standard EPDS scale, while one study (36) assessed postpartum depression by using the World Health Organization's Maternal Tool and the other one used a short form of EPDS scale (EPDS-4) (26). The data of three studies were not quantitatively analyzed due to the fact that two study (26, 36) used a different measuring system, while the other study (37) only looked at mothers of extreme and early preterm infants. At this moment, 19 studies were included in the further meta-analysis (8, 12–17, 24, 25, 27–33, 35, 38, 39).

3.2. Risk of bias in included studies

All studies included in the meta-analysis used EPDS as a measuring scale and compared information from pre-pandemic and post-pandemic timeframes. The qualities of the eligible studies were evaluated based on the Newcastle-Ottawa Scale (NOS) assessment tool and studies with a quality assessment score above four (low quality = 0–3; moderate quality = 4–6; high quality = 7–9) were included in the review. Table 1 shows a summary of the quality assessment of all studies included in the meta-analysis using the NOS tool.

3.3. Data synthesis and statistical analysis

3.3.1. Overall analysis

Nineteen of the twenty-two selected studies reported PPDS using the standard EPDS scale during the pre-pandemic and post-pandemic timeframes. Furthermore, we conducted a sensitivity analysis and deleted one study (31) because of an apparent deviation (Supplementary Image 1). In the end, only 18 studies were included in the final meta-analysis (12–17, 24, 25, 27–33, 35, 38, 39). Overall, the epidemic crisis is associated with an increased prevalence of PPDS (OR: 0.81 [0.68, 0.95], P = 0.009) though the high heterogeneity in the forest plot (I² = 53%) (Figure 2). We used Stata 12.0 software to examine the publication bias using Begg's funnel plots and no publication bias was discovered (Begg's test: P = 0.130; Egger's test: P = 0.325).

FIGURE 2

Figure 2. Overall meta-analysis comparing the prevalence of PPDS before and during the COVID-19 pandemic.

3.3.2. Subgroup analysis

3.3.2.1. Subgroup analysis in study characteristics

3.3.2.1.1. Subgroups with different cut-offs

Two cut-off points for EPDS were commonly used in the literature: ≥10 points was more suitable and sensitive for routine use in a primary setting for detecting PPDS, whereas ≥13 indicated that a likely case of PPDS of varying severity required an extended clinical examination (45). We conducted the subgroup analysis according to the different cut-off values of EPDS. As shown in Figure 3, women delivering during the COVID-19 pandemic had no significant increase in the prevalence of PPDS with the cut-off value of EPDS at 9–11 (OR: 0.90 [0.75, 1.08], P = 0.25, I² = 51%) compared to women delivering before the pandemic. However, the prevalence of PPDS defined as EPDS≥13 points (OR: 0.72 [0.52, 0.98], P = 0.03, I² = 67%) showed an obvious increase during the COVID-19 pandemic (Figure 3).

FIGURE 3

Figure 3. Subgroup analysis comparing the prevalence of PPDS before and during the COVID-19 pandemic according to the cut-off values of EPDS.

3.3.2.1.2. Subgroups with different follow-up times

Postpartum depression will generally manifest within 2 weeks immediately after delivery with a peak incidence on the fifth day, and it can last year's (46, 47). Further subgroup analysis with different follow-up times was performed. Results showed that the prevalence of PPDS within 2 weeks of delivery showed no change before and during the COVID-19 period (OR: 0.81 [0.55, 1.19], P = 0.28, I² = 77%), while the prevalence of postpartum depression showed an obvious increase when detected after the first 2 weeks during the COVID-19 period (OR: 0.81 [0.68, 0.97], P = 0.02, I² = 43%) (Figure 4).

FIGURE 4

Figure 4. Subgroup analysis comparing the prevalence of PPDS before and during the COVID-19 pandemic according to postpartum time.

3.3.2.1.3. Subgroups with different study quality

Statistical heterogeneity among different subgroups based on the study quality was evaluated by I² of Higgins (Figure 5). The results of the studies that were high-quality (OR: 0.79 [0.64, 0.97], P = 0.02, I² = 56%) demonstrated an increased prevalence of PPDS during the COVID-19 pandemic period, while the prevalence of PPDS showed no significant increase in those studies with moderate quality.

FIGURE 5

Figure 5. Subgroup analysis comparing the prevalence of PPDS before and during the COVID-19 pandemic according to study quality.

3.3.2.2. Subgroup analysis in regions

3.3.2.2.1. Subgroups with different regions and country types

The studies conducted in the developed (OR: 0.79 [0.64, 0.98], P = 0.03, I² = 65%) and developing countries (OR: 0.81 [0.69, 0.94], P = 0.007, I² = 0%) showed an increase of PPDS during the COVID-19 period (Figure 6). Studies conducted in Asia (OR: 0.81 [0.70, 0.93], P = 0.003, I² = 0%) showed an increase of PPDS during the COVID-19 period, while studies conducted in Europe (OR: 0.82 [0.59, 1.13], P = 0.23, I² = 71%), and North America (OR: 0.66 [0.42, 1.02], P = 0.06, I² = 65%) showed no significant difference. Further evidence is needed to examine potential differences in these subgroups (Figure 7).

FIGURE 6

Figure 6. Subgroup analysis comparing the prevalence of PPDS before and during the COVID-19 pandemic according to different country types.

FIGURE 7

Figure 7. Subgroup analysis comparing the prevalence of PPDS before and during the COVID-19 pandemic according to different continents.

4. Discussion

This meta-analysis compared the prevalence of PPDS by using data collected from both pre-pandemic and post-pandemic COVID-19 timeframes and explored the possible influence of study characteristics and regions. Results demonstrated that the COVID-19 pandemic is associated with an increased prevalence of PPDS, especially in the studies where a high risk of PPDS was defined as EPDS ≥ 13 points and detected >2 weeks after delivery. Meanwhile, Studies that were high-quality and conducted in Asia showed an increase of PPDS during the COVID-19.

4.1. Subgroups with different cut-offs

Diagnosis of postpartum depression requires a clinical interview where EPDS is used to indicate postpartum depressive symptoms. Different cut-offs were used with varying sensitivity and specificity (45). The results of the meta-analysis showed that a cut-off value of 10/11 had the greatest sensitivity and specificity for assessing the risk of a mild depressive disorder in perinatal women (48). A score of 9 or above is often used to indicate the likelihood of postpartum depression in Japanese women (49). In this study, we conducted a further subgroup analysis evaluating the different cut-off values of EPDS (Figure 3). Results demonstrated that women delivering during the COVID-19 pandemic had no significant increase in the prevalence of PPDS with the cut-off value of 9–11 compared to women delivering before the pandemic. However, the prevalence of PPDS defined as EPDS ≥13 points had an obvious increase during the COVID-19 pandemic, suggesting that postpartum women who are more likely to suffer from a depressive illness might be more susceptible to the negative impacts of the COVID-19 pandemic.

4.2. Subgroups with different follow-up times

Postpartum depression, by definition, starts within 4 weeks postpartum and symptoms must persisting for at least 2 weeks (50). However, depressive symptoms that start beyond 4 weeks after delivery can still cause harm and require treatment. Assessment for postpartum depression is still recommended, in clinical practice, within the first 12 months after delivery (51). About 70% of new mothers experience mild depressive symptoms postpartum which usually begins to subside spontaneously within 2 weeks without significant impairment of function or continued psychotic symptoms (46). In this study, we conducted further subgroup analysis according to the postpartum time, and results showed that the prevalence of PPDS within 2 weeks after delivery showed no difference before and during the COVID-19 period, while the prevalence of postpartum depression increased obvious during the COVID-19 pandemic period when detected 2 weeks after delivery (Figure 4). Based on the current research results, the impact of the COVID-19 pandemic on PPDS is more long-lasting and lactating women should be provided with adequate psychological support to reduce the long-term negative effects of this pandemic.

4.3. Subgroups with different study quality

We also evaluated the heterogeneity based on the study quality. Subgroup analysis of these studies with high quality provided further evidence of the negative impact of the pandemic on PPDS, while no significant effect was shown in studies with moderate quality.

4.4. Subgroups with different regions

Our study found an increase of PPDS during the COVID-19 pandemic period in Asia (I² = 0%), while studies conducted in Europe and North America showed no significant increase of PPDS prevalence (Figure 7). One recent meta-analysis that found an increased PPDS prevalence during the COVID-19 over the world with high heterogeneity (I² = 95%) (21). No further subgroups analysis were conducted in this meta-analysis (21). Furthermore, the high heterogeneity between studies that may negatively affect the accuracy of the result. The robustness of the results from this meta-analysis was controlled by conducting sensitivity analysis. Studies that utilized different screening tools and studies that focused only on mothers of extreme and early preterm infants were excluded to achieve better analysis results (26, 36, 37).

4.5. Subgroups with different country types

Both of the study subgroups that were conducted in developing and developed countries showed a significant negative impact from the COVID-19 to the prevalence of postpartum depression (Figure 6). The number of studies in developing subgroups was limited, further evidence is needed to examine potential differences in these subgroups.

In addition to the factors mentioned above, strict isolation measures, level of education, economy, and social support, etc. can also have a negative impact on the mental health of the postpartum women (52, 53). Due to the limitations of the included studies, we were unable to further analyze these possible influencing factors. Multi-center high-quality research with large-sample sizes and perhaps, longitudinal research methods should be considered for future studies.

5. Strengths and limitations

This systematic review and meta-analysis compared the prevalence of PPDS before versus during the COVID-19 pandemic and explored possible influencing factors on postpartum depression from study characteristics and regions. Statistical analysis was carried out within different subgroups to demonstrate the possible negative effects from the COVID-19 pandemic on PPDS. However, it is undeniable that this research has some limitations. Firstly, many of the included studies collected their relevant data using internet surveys due to the quarantine policies during the pandemic which may have given rise to selection and decision biases. Secondly, some of the included studies did not depict the severity of the epidemic situation and the isolation measures during the study period which are all important influencing factors to mental health. Lastly, the limited number and the high heterogeneity of included articles also potentially affected the accuracy of the results.

6. Conclusion

This meta-analysis compared the prevalence of PPDS before vs. during the COVID-19 pandemic. Subgroup analyses were conducted to further examine the possible influencing factors. The results of subgroup analysis showed that the COVID-19 pandemic was associated with an increased prevalence of PPDS, especially in long-term follow-up studies (>2 weeks), in studies with high possibility of PPDS (EPDS ≥ 13) and in studies from Asia. Therefore, policymakers and health planners should give high priority to the mental health of this vulnerable group during a global health crisis and develop better support and assurance measures to deal with the impact of a pandemic on postpartum women.

Author contributions

XZh, CW, BA, FB, and MV designed the review. XZh and CW contributed to conception and design of the study, data acquisition, and analysis and interpretation of data. XZh participated in writing the first draft of the paper. TL, BA, and FB revised critically for important intellectual content and gave final approval of the version to be published. All authors contributed to the intellectual content, read, and approved the final manuscript.

Acknowledgments

The authors wish to thank Thomas Vandendriessche and Krizia Tuand, the biomedical reference librarians of the KU Leuven Libraries−2Bergen—Learning Center Désiré Collen (Leuven, Belgium), for their help in conducting the systematic literature search.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpubh.2023.1102618/full#supplementary-material

Supplementary Image 1. Meta-influence analyses of the included studies before (A) and after (B) the apparently deviated study was deleted.

Abbreviations

PPD, postpartum depression; PPDS, postpartum depression symptoms; COVID-19, coronavirus disease 2019; MOOSE, Observational Studies in Epidemiology guidelines; PRISMA, Preferred Reporting Items for Systematic Reviews and Meta-Analyses; EPDS, Edinburgh Postnatal Depression Scale; NOS, Newcastle-Ottawa Scale.

References

1. Liang P, Wang Y, Shi S, Liu Y, Xiong R. Prevalence and factors associated with postpartum depression during the COVID-19 pandemic among women in Guangzhou, China: a cross-sectional study. BMC Psychiat. (2020) 20:1–8. doi: 10.1186/s12888-020-02969-3

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Yang M, Yue W, Han X, Hu C, Sun X, Luo J. Postpartum care indications and methodological quality: a systematic review of guidelines. J Public Health. (2021) 2021:1–15. doi: 10.1007/s10389-021-01629-4

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Ganesan B, Jumaily A, Fong K, Prasad P, Meena S, Tong R, et al. Impact of coronavirus disease (2019). (COVID-19) outbreak quarantine, isolation, and lockdown policies on mental health and suicide. Front Psychiatry. (2021) 12:565190. doi: 10.3389/fpsyt.2021.565190

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Depression P, Causes AT. Heterogeneity of postpartum depression: a latent class analysis. Lancet Psychiat. (2015) 2:59–67. doi: 10.1016/S2215-0366(14)00055-8

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Fatemeh A, Mehran Z. Effect of postpartum depression on women's mental and physical health four years after childbirth. East Mediterr Health J. (2018) 24:1002–9. doi: 10.26719/2018.24.10.1002

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Hahn-Holbrook J, Cornwell-Hinrichs T, Anaya I. Economic and health predictors of national postpartum depression prevalence: a systematic review, meta-analysis, and meta-regression of 291 studies from 56 countries. Front Psychiatry. (2017) 8:248. doi: 10.3389/fpsyt.2017.00248

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Shorey S, Chee CYI, Ng ED, Chan YH, Tam WWS, Chong YS. Prevalence and incidence of postpartum depression among healthy mothers: a systematic review and meta-analysis. J Psychiatr Res. (2018) 104:235–48. doi: 10.1016/j.jpsychires.2018.08.001

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Anokye R, Acheampong E, Budu-Ainooson A, Obeng EI, Akwasi AG. Prevalence of postpartum depression and interventions utilized for its management. Ann Gen Psychiatry. (2018) 17:18. doi: 10.1186/s12991-018-0188-0

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Lindahl V, Pearson JL, Colpe L. Prevalence of suicidality during pregnancy and the postpartum. Arch Womens Ment Health. (2005) 8:77–87. doi: 10.1007/s00737-005-0080-1

PubMed Abstract | CrossRef Full Text | Google Scholar

10. McPeak KE, Sandrock D, Spector ND, Pattishall AE. Important determinants of newborn health: postpartum depression, teen parenting, and breast-feeding. Curr Opin Pediatr. (2015) 27:138–44. doi: 10.1097/MOP.0000000000000185

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Usmani S, Greca E, Javed S, Sharath M, Sarfraz Z, Sarfraz A, et al. Risk factors for postpartum depression during covid-19 pandemic: a systematic literature review. J Primary Care Community Health. (2021) 12:21501327211059348. doi: 10.1177/21501327211059348

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Suzuki S. Psychological status of postpartum women under the COVID-19 pandemic in Japan. J Matern Fetal Neonatal Med. (2020) 2020:1–3. doi: 10.1080/14767058.2020.1763949

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Pariente G, Broder OW, Sheiner E, Battat TL, Mazor E, Salem SY, et al. Risk for probable post-partum depression among women during the COVID-19 pandemic. Arch Womens Ment Health. (2020) 23:767–73. doi: 10.1007/s00737-020-01075-3

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Kuipers YJ, Bleijenbergh R, Van den Branden L, van Gils Y, Rimaux S, Brosens C, et al. Psychological health of pregnant and postpartum women before and during the COVID-19 Pandemic. PLoS ONE. (2022) 17:e0267042. doi: 10.1371/journal.pone.0267042

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Zanardo V, Manghina V, Giliberti L, Vettore M, Severino L, Straface G. Psychological impact of COVID-19 quarantine measures in northeastern Italy on mothers in the immediate postpartum period. Int J Gynaecol Obstet. (2020) 150:184–8. doi: 10.1002/ijgo.13249

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Zhang CXW, Okeke JC, Levitan RD, Murphy KE, Foshay K, Lye SJ, et al. Evaluating depression and anxiety throughout pregnancy and after birth: impact of the COVID-19 pandemic. Am J Obstet Gynecol MFM. (2022) 4:100605. doi: 10.1016/j.ajogmf.2022.100605

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Perez A, Göbel A, Stuhrmann LY, Schepanski S, Singer D, Bindt C, et al. Born under COVID-19 pandemic conditions: infant regulatory problems and maternal mental health at 7 months postpartum. Front Psychol. (2021) 12:805543. doi: 10.3389/fpsyg.2021.805543

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Yan H, Ding Y, Guo W. Mental Health of Pregnant and Postpartum Women During the Coronavirus Disease 2019. Pandemic: a systematic review and meta-analysis. Front Psychol. (2020) 11:617001. doi: 10.3389/fpsyg.2020.617001

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Shorey SY, Ng ED, Chee CYI. Anxiety and depressive symptoms of women in the perinatal period during the COVID-19 pandemic: A systematic review and meta-analysis. Scand J Public Health. (2021) 49:730–40. doi: 10.1177/14034948211011793

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Hessami K, Romanelli C, Chiurazzi M, Cozzilin M. COVID-19 pandemic and maternal mental health: a systematic review and meta-analysis. J Matern Fetal Neonatal Med. (2022) 35:4014–21. doi: 10.1080/14767058.2020.1843155

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Lin C, Chen B, Yang Y, Li Q, Wang Q, Wang M, et al. Association between depressive symptoms in the postpartum period and COVID-19: a meta-analysis. J Affect Disord. (2022) 320:247–53. doi: 10.1016/j.jad.2022.09.129

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Stroup DF, et al. Meta-analysis of observational studies in epidemiology: a proposal for reporting meta-analysis of observational studies in epidemiology (MOOSE) group. Jama. (2000) 283:2008–12. doi: 10.1001/jama.283.15.2008

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gøtzsche PC, Ioannidis JPA, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. Ann Intern Med. (2009) 151:W65–94. doi: 10.7326/0003-4819-151-4-200908180-00136

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Chrzan-Detkoś M, Walczak-Kozłowska T, Lipowska M. The need for additional mental health support for women in the postpartum period in the times of epidemic crisis. BMC Pregnancy Childbirth. (2021) 21:114. doi: 10.1186/s12884-021-03544-8

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Boekhorst MGBM, Muskens L, Hulsbosch LP, Van Deun K, Bergink V, Pop VJM, et al. The COVID-19 outbreak increases maternal stress during pregnancy, but not the risk for postpartum depression. Arch Womens Ment Health. (2021) 24:1037–43. doi: 10.1007/s00737-021-01104-9

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Eberhard-Gran M, Engelsen LY, Al-Zirqi I, Vangen S. Depressive symptoms and experiences of birthing mothers during COVID-19 pandemic. Tidsskr Nor Laegeforen. (2022) 142:3. doi: 10.4045/tidsskr.21.0450

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Hiiragi K, Obata S, Misumi T, Miyagi E, Aoki S. Psychological stress associated with the COVID-19 pandemic in postpartum women in Yokohama, Japan. J Obstet Gynaecol Res. (2021) 47:2126–30. doi: 10.1111/jog.14776

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Hui PW, Ma G, Seto MTY, Cheung KW. Effect of COVID-19 on delivery plans and postnatal depression scores of pregnant women. Hong Kong Med J. (2021) 27:113–7. doi: 10.12809/hkmj208774

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Layton H, Owais S, Savoy C, Lieshout R. Depression, anxiety, and mother-infant bonding in women seeking treatment for postpartum depression before and during the COVID-19 pandemic. J Clin Psychiatry. (2021) 82:4. doi: 10.4088/JCP.21m13874

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Li S, Wang L, Wang W, Hou S, Xie C, Zeng M, et al. Comparison of sleep quality among puerperal women before and during the COVID-19 pandemic: a cross-sectional survey in Lanzhou, China. Sleep Breath. (2022) 2022:1–8. doi: 10.1007/s11325-021-02553-3

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Loret de Mola C, Silva TS, Carpena MX, Ponte B, Blumenberg C, Martis R, et al. Maternal mental health before and during the COVID-19 pandemic in the (2019). Rio Grande birth cohort. Braz J Psychiatry. (2021). 43(4):402-406. doi: 10.1590/1516-4446-2020-1673

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Mariño-Narvaez C, Puertas-Gonzalez JA, Romero-Gonzalez B, Peralta-Ramirez MI. Giving birth during the COVID-19 pandemic: the impact on birth satisfaction and postpartum depression. Int J Gynaecol Obstet. (2021) 153:83–8. doi: 10.1002/ijgo.13565

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Madera P, Romagnolo C, Zanetti S, Maso FD, Turro M, De Marco C. Effects of the COVID-19 pandemic on postpartum depression: A retrospective case-control study on A significant sample of mothers in northern Italy. J Prenat Perinat Psychol Health. (2021) 35:30–8. Available online at: https://www.proquest.com/scholarly-journals/effects-covid-19-pandemic-on-postpartum/docview/2582224806/se-2

Google Scholar

34. Puertas-Gonzalez JA, Mariño-Narvaez C, Romero-Gonzalez B, Peralta-Ramirez MI. Giving birth during a pandemic: From elation to psychopathology. Int J Gynaecol Obstet. (2021) 155:466–74. doi: 10.1002/ijgo.13803

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Sade S, Sheiner E, Wainstock T, Hermon N, Salem SY, Kosef T, et al. Risk for depressive symptoms among hospitalized women in high-risk pregnancy units during the COVID-19 pandemic. J Clin Med. (2020) 9:8. doi: 10.3390/jcm9082449

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Sudhinaraset M, Landrian A, Mboya J, Golub G. The economic toll of COVID-19: A cohort study of prevalence and economic factors associated with postpartum depression in Kenya. Int J Gynaecol Obstet. (2022) 158:110–15. doi: 10.1002/ijgo.14142

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Vatcheva T, Mostaert A, Van Ingelgem V, Henrion E, Legros L. Impact of COVID-19 pandemic on postpartum depression among mothers of extreme and early preterm infants. Int J Gynaecol Obstet. (2021) 155:490–5. doi: 10.1002/ijgo.13859

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Waschmann M, Rosen K, Gievers L, Hildebrand A, Laird A, Khaki S. Evaluating the impact of the COVID-19 pandemic on postpartum depression. J Womens Health (Larchmt). (2022) 31:772–8. doi: 10.1089/jwh.2021.0428

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Yakupova V, Suarez A, Kharchenko A. Birth experience, postpartum PTSD and depression before and during the pandemic of COVID-19 in Russia. Int J Environ Res Public Health. (2021) 19:335. doi: 10.3390/ijerph19010335

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Stang A. Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur J Epidemiol. (2010) 25:603–5. doi: 10.1007/s10654-010-9491-z

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. (2003) 327:557–60. doi: 10.1136/bmj.327.7414.557

PubMed Abstract | CrossRef Full Text | Google Scholar

42. DerSimonian R, Kacker R. Random-effects model for meta-analysis of clinical trials: an update. Contemp Clin Trials. (2007) 28:105–14. doi: 10.1016/j.cct.2006.04.004

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Begg CB, Mazumdar M. Operating characteristics of a rank correlation test for publication bias. Biometrics. (1994) 50:1088–101. doi: 10.2307/2533446

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Liu X, Gao W, Yan H. Measuring and decomposing the inequality of maternal health services utilization in western rural China. BMC Health Serv Res. (2014) 14:102. doi: 10.1186/1472-6963-14-102

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Cox JL, Holden JM, Sagovsky R. Detection of postnatal depression. Development of the 10-item Edinburgh postnatal depression scale. Br J Psychiatry. (1987) 150:782–6. doi: 10.1192/bjp.150.6.782

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Wisner KL, Parry BL, Piontek CM. Postpartum depression. N Engl J Med. (2002) 347:194–9. doi: 10.1056/NEJMcp011542

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Henshaw C. Mood disturbance in the early puerperium: a review. Arch Womens Ment Health. (2003) 6:s33–42. doi: 10.1007/s00737-003-0004-x

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Levis B, Negeri Z, Sun Y, Benedetti A, Thombs BD, Group DSD. Accuracy of the Edinburgh Postnatal Depression Scale (EPDS) for screening to detect major depression among pregnant and postpartum women: systematic review and meta-analysis of individual participant data. BMJ. (2020) 371:m4022. doi: 10.1136/bmj.m4022

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Okano T, Nomura J, Kumar R, Kaneko E, Tamaki R, Hanafusa I, et al. An epidemiological and clinical investigation of postpartum psychiatric illness in Japanese mothers. J Affect Disord. (1998) 48:233–40. doi: 10.1016/S0165-0327(97)00158-4

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Battle DE. Diagnostic and statistical manual of mental disorders (DSM). Codas. (2013) 25:191–2. doi: 10.1590/s2317-17822013000200017

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Stewart DE, Vigod S. Postpartum depression. N Engl J Med. (2016) 375:2177–86. doi: 10.1056/NEJMcp1607649

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Silverman ME, Burgos L, Rodriguez ZI, Afzal O, Kalishman A, Callipari F, et al. Postpartum mood among universally screened high and low socioeconomic status patients during COVID-19 social restrictions in New York City. Sci Rep. (2020) 10:22380. doi: 10.1038/s41598-020-79564-9

PubMed Abstract | CrossRef Full Text | Google Scholar

53. VidhiChaudhary, Puri M, Kukreti P, Chhapola V, Kanwar D, Tumpati A, et al. Postpartum depression in COVID-19 risk-stratified hospital zones: a cross-sectional study from India. J Affect Disord Rep. (2021) 6:100269. doi: 10.1016/j.jadr.2021.100269

PubMed Abstract | CrossRef Full Text | Google Scholar