Hot spots and frontiers of postpartum depression research in the past 5 years: A bibliometric analysis

Abstract

Objective:

This study applied the bibliometric method to analyze the hotspots and frontiers in the field of postpartum depression research from 2017 to 2021.

Methods:

A computer-based search for studies related to postpartum depression (PPD) was conducted in the Web of Science Core Collection from 2017 to 2021. Using CiteSpace 5.8. R3 visualization software, this paper analyzed the hot spots and frontiers of postpartum depression research from countries, institutions, authors, cited references and keywords, and drew corresponding knowledge maps.

Results:

A total of 3,789 articles were retrieved, and the annual publication volume showed a steady increase. The countries and institutions with the most publications were the United States and the University of Toronto, respectively. Cindylee Dennis was the most productive author. The most frequently cited and centrally cited articles were meta-analyses on risk factors associated with antenatal depression or anxiety and meta-analyses on the prevalence of antenatal or postnatal anxiety, respectively. The research hotspots in the field of postpartum depression in the past 5 years mainly focused on the risk factors for PPD, and the impact of the COVID-19 epidemic on PPD. Providing various aspects of social and family support to women with PPD may be a research trend in this field.

Conclusion:

This study provides a trend and frontier in the field of postpartum depression, and valuable information for researchers to find potential partners and partner countries, and a reference for future research topics and development directions.

Introduction

Postpartum depression (PPD) is a serious clinical disease, and the typical symptoms mainly include anxiety, irritability, anxiety, loss of appetite, sleep disorders, etc. PPD has a significant impact on the emotional, personality and cognitive development of mothers, partners, families and infants (Sun et al., 2021; Walker et al., 2021). The pathological mechanism of PPD is relatively complex. Current studies have proved that both Estrogen withdrawal and prolactin level regulation may affect the occurrence of PPD (Li et al., 2018; Wang et al., 2020; Cheng et al., 2022). According to statistics, nearly 15% of women worldwide suffer from PPD (Figueiredo et al., 2021). Compared with men, women are twice as likely to suffer from depression (Martini et al., 2009). Changes in hormone levels in women during puberty, pregnancy and menopause may be an important cause of depression in women (Martini et al., 2009). Especially after delivery, poor maternal physical condition, poor quality of life and other risk factors that may lead to depression increase the likelihood of PPD (Julian et al., 2021; Walker et al., 2021). Research has shown that more than 20% of women with PPD have bipolar disorder (Wisner et al., 2013). Gollan et al. (2021) found that anhedonic symptoms were more common in women with postpartum bipolar disorder than in those with unipolar depression and twice as high. Therefore, the screening of PPD is very important. The Edinburgh Postnatal Depression Scale (EPDS) is the most widely used screening tool. Screening women with possible PPD using scales and clinical symptoms can help differentiate bipolar disorder from PPD and avoid delays in treatment (Clark et al., 2022).

CiteSpace was created by Professor Chen Chaomei of Drexel University in the United States. It is a knowledge management software for bibliometric analysis (Shou et al., 2022). By generating a visual knowledge map, CiteSpace explores the research status, research hotspots, research fronts and evolution process of a scientific field, reveals research directions, research stages and frontier characteristics, and finally judges the development trend of the field (Luo et al., 2021). So far, CiteSpace software has been used in various fields such as environmental science, education and public health (Dang et al., 2021). This paper used CiteSpace 5.8. R3 software to analyze the characteristics of PPD research literature listed in the Web of Science database in the past 5 years. Focusing on high-impact countries, institutions, authors, cited literature, high-frequency keywords and keywords with citation bursts, the hotspots and frontier trends of PPD research were analyzed and tracked to provide some reference for the research in this field and the development of related disciplines.

Data and methods

Data and retrieval strategy

The Science Citation Index Expanded (SCI-EXPANDED) database in the Web of Science Core Collection was searched by computer using the search strategy: TS = (“postpartum depression” OR “postpartum depression therap*”). The time span was set to 2017–2021. The last retrieval date was 2022-07-12. The document type was limited to “Article,” and the language type was set to “English.”

Methods

The full records of the retrieved data and references were downloaded in plain text format and named “download_XXX.” CiteSpace 5.8. R3 visualization software was used to visualize the information from the literature search according to the first author in the article as well as countries, authors, keywords, research institutions and so on. In the parameter setting for the CiteSpace 5.8. R3 software, the time span was set to 2017–2021, the time scale was set to 1 year, and the threshold term was selected as “TopN,” which was set to 50. The “Pathfinder” and “Pruning Sliced Networks” options were selected as the shear connections to simplify the network structure and highlight important features. For node types, countries, institutions, authors, references and keywords were selected for co-occurrence analysis, and visual maps were drawn(Chen, 2004). The use of CiteSpace software highlights the word detection function to explore the keyword surge rate of change, and generate a high-intensity mutation rate of the keyword ranking table to achieve an analysis of the status quo and predict future development (Zhu et al., 2021). Nodes and links were used to generate visual knowledge maps. Each node in the figure represents an element to be analyzed, such as reference literature, country or institution. The size of the nodes represents the frequency of reference, and nodes with different colors represent different years. The connection lines between nodes represent the co-occurrence or co-citation relationship, the thickness of the line represents the strength of the relationship, and the corresponding color of the node represents the first co-occurrence or co-citation time. The purple outer ring of the node represents centrality. The thicker the purple outer ring is, the higher the centrality is. Nodes with high centrality (> 0.1) are usually considered research hotspots or turning points in this field (Luo et al., 2021; Zhong et al., 2022).

Results

A total of 3,871 articles were retrieved. The included literatures were screened using CiteSpace to exclude duplicate literatures. To ensure that the topics and main content of the literature were related to postpartum depression, the literature was reread, and the abstracts were screened to exclude irrelevant literature. A total of 3,789 papers were included after excluding conference abstracts, letters, reviews, and periodical news reviews.

Publication outputs

The average annual published articles of the PPD research field from 2017 to 2021 was 757.8, showing a gradual increasing trend, with the largest increase in 2020–2021. The number of publications in 2021 was 1.9 times that in 2017. This shows that an increasing number of researchers have begun to pay attention to the study of PPD (Figure 1).

Figure 1

Countries analysis

The cooperation network map of countries is shown in Figure 2. The country with the largest number of articles from 2017 to 2021 was the United States, with 1,300 articles. The country with the second most articles was Canada, with 378 articles. The country with the third most articles was England, with 373 articles. Ten countries had > 100 articles. The centrality of England, 0.23, was the highest, 0.23, followed by Croatia (0.17) and Greece and Malawi (both 0.14; Table 1). High centrality indicates that these countries have a strong influence and high position in PPD research.

Figure 2

Institutions analysis

Figure 3 is the cooperation network map of institutions. The most published was the University of Toronto in Canada, with 92 articles. The University of North Carolina in the United States and King’s College London in the United Kingdom were ranked second, each with 85 articles published. The third most published institution was McGill University in Canada (Table 2). The visualization of research institutions showed that the top three institutions with centrality were McGill University (0.21), University of Melbourne (0.16) and King’s College London (0.13), which had established good cooperation with other institutions (Figure 3).

Figure 3

Author analysis

The visualization map of authors is shown in Figure 4. Among them, 29 authors published more than 10 articles. Cindylee Dennis, Samantha Meltzer-Brody and Alkistis Skalkidou published 34, 27 and 26 articles, respectively. The author with the highest centrality was Samantha Meltzer-Brody, with centrality of 0.13; next were Simone N Vigod and Lauren M Osborne, with centrality of 0.1 and 0.09, respectively (Table 3). The analysis results show that Professor Dennis had the highest number of published papers in this field in the past 5 years, with more research results, while Professor Meltzer-Brody had a greater influence on the research. There was a certain degree of cooperation among the author teams, and the author team with the highest number of published papers cooperated more closely.

Figure 4

Cited references analysis

Important references

The network map of the co-citation reference analysis was composed of 145 nodes and 236 links (Figure 5). Table 4 shows the top 10 literature information of citation frequency in the co-cited literature. The articles with the highest citation frequency came from the Journal of Affective Disorders, with 175 citations. Biaggi et al. (2016) conducted a meta-analysis of relevant literature in PubMed and other databases and found that the most relevant factors for prenatal depression or anxiety included lack of partner or social support, history of abuse or domestic violence, and history of personal psychosis. Understanding the risk factors was helpful to screen women with anxiety and depression risks during pregnancy to prevent the transition from prenatal depression to postpartum depression. The articles with the highest centrality came from The British Journal of Psychiatry, with a centrality of 0.50. Dennis et al. (2017a) conducted a meta-analysis of the studies published before January 2016 on the prevalence of prenatal or postnatal anxiety and found that the incidence of perinatal anxiety was high, which is worthy of clinical attention.

Figure 5

Through statistical literature analysis, it was found that the top ten cited literatures were review articles, nine of which were reviews or meta-analysis, and one was a statement of recommendations. Therefore, we also counted the top ten original articles cited frequently, as shown in Table 5. Among them, the most frequently cited article was published in JAMA Psychiatry Journal, Wisner et al. (2013) screened postpartum women for PPD through the Edinburgh Postnatal Depression Scale (EPDS). A total of 10,000 mothers were screened, 1,396 (14.0%) of whom were positive. The results showed that the most common primary diagnosis was monophasic depressive disorder (68.5%), and nearly two thirds had comorbidity of anxiety disorders. 22.6% suffered from bipolar disorder. Fairbrother et al. (2016) and other articles published on the Journal of Effective Disorders in 2016 were the most central and original research in this field in the past 5 years. This article mainly studied the influence of anxiety and related diseases on postpartum women. The contents of these original studies mainly included the risk factors of PPD, drug treatment, strategies for prevention and screening of PPD, and peripartum annex and destructive disorders.

Co-citation references clustering and timeline diagram

Cluster analysis was performed on the co-cited documents, and the LLR algorithm was used for clustering to form 11 cluster labels (Figure 6). There were 145 nodes and 236 links in the map, and the silhouette of the map was 0.8821, indicating that the clustering results are meaningful. If the contour value is greater than 0.7, the homogeneity of the clustering members is high, indicating that the clustering results are meaningful. If the value exceeds 0.5, clustering is usually considered reasonable (Guo et al., 2022). The 10 cluster labels were perinatal anxiety (No. 0), post-traumatic stress disorder (No. 1), postpartum depression (No. 2), child outcome (No. 3), COVID-19 pandemic (No. 4), cross-sectional survey (No. 5), anxiety disorder (No. 6), exclusive breastfeeding (No. 7), study protocol (No. 8), depression anxiety PTSD (No. 9) and current literature (No. 10; Table 6). The timeline view of cited references clustering is shown in Figure 7.

Figure 6

Figure 7

Keyword analysis

Keyword co-occurrence analysis

The research hotspots and frontiers in the field of postpartum depression were explored by analyzing the frequency and centrality of keywords. The network map of keyword analysis was composed of 75 nodes and 161 links (Figure 8). Through keyword co-occurrence analysis, the keywords whose frequency and centrality were in the top 10 were statistically ranked, as shown in Table 7. Removing the first search subject term “postpartum depression,” the top 3 keywords with regard to frequency were postnatal depression (1,018), pregnancy (864) and women (830); the top 3 keywords with regard to centrality were pregnancy (0.29), symptoms (0.27) and prevalence (0.26).

Figure 8

Keywords with citation burst

Nine burst keywords were obtained, namely, cohort, bipolar disorder, anxiety disorder, etc., as shown in Figure 9. Keyword burst analysis shows the results from two aspects of burst strength and time. Keywords with high burst strength in a given period of time received great attention in that time interval, which to some extent represents the research frontier in the corresponding time interval (Lin et al., 2020). The burst keywords that appeared in this field can be roughly divided into three time periods. The burst words that appeared from 2017 to 2018 were cohort, bipolar disorder, anxiety disorder, postnatal depression scale and randomized controlled trial. The burst keywords that appeared from 2017 to 2019 were postpartum depression and postnatal depression. The burst keywords that appeared from 2018 to 2019 were mood and preterm birth. According to the analysis results, no burst keywords appeared in 2019–2021, indicating that research in this field is in the stage of continuous exploration and problem discovery.

Figure 9

Discussion

In this study, CiteSpace software was used to analyze the literature on PPD-related research in the past 5 years and to explore the dynamic evolution and future development trend in this field. From 2017 to 2021, the annual number of publications in this field increased year by year, indicating that research focused in this field was increasing. From the point of view of the source country, research results from the United States, Canada and England were prominent and influential. Most of the PPD research institutions were internationally renowned universities, with the highest number of papers published by the University of Toronto in Canada. Harvard Medical School was the institution with the highest centrality. Among the productive authors, Cindylee Dennis from the University of Toronto, Canada ranked first with 34 articles. The main research directions of Professor Dennis and her team were risk factors for postpartum depression and the relationship between prenatal anxiety and postpartum depression (Dennis et al. 2017b; Shorey et al., 2017; Grigoriadis et al., 2019). It was found that the academic exchanges between institutions and authors’ teams still need to be strengthened, and international cooperation needs to be further expanded.

According to the results of keyword co-occurrence analysis, the research hotspots in this field mainly focused on keywords such as pregnancy, depression, prevalence, symptom, and risk factor. Studies have shown that PPD may adversely affect mothers, infants and families in the short or long term and pose serious public health problems (Julian et al., 2021). Approximately 13–19% of women in high-income countries have PPD after delivery (Lewis et al., 2021). The incidence of depression during pregnancy was 12%, indicating that PPD may start during pregnancy in some cases, and perinatal depression was common (Cuijpers and Karyotaki, 2021). If perinatal depression is not screened and treated in a timely manner, the degree of depression after childbirth may be higher as well as the risk of maternal suicide (Putnam et al., 2017).Counseling interventions, such as cognitive behavioral therapy and interpersonal therapy, have been found to be effective in preventing perinatal depression (US Preventive Services Task Force et al., 2019). Koutra et al. (2018) believed that pregnancy, perinatal and postpartum complications such as gestational hypertension, preeclampsia, sleep disorders, and breastfeeding difficulties would adversely affect the mood of early postpartum women, leading to postpartum depression. In addition to the impact of pregnancy, perinatal and postpartum complications on women’s mental health, Dencker et al. (2019) believed that women’s fear of childbirth during pregnancy would lead to anxiety and depression before or after childbirth. Creating a female-centered childbirth environment where women feel free and safe can reduce the negative psychological states that can arise from a negative or traumatic childbirth.

It is very important to understand the risk factors of PPD and timely screen and treat women with postpartum depression (Peng et al., 2021). Research shows that the risk factors of postpartum depression mainly include stress and anxiety, lack of support, pregnancy related complications, unexpected pregnancy, COVID-19 pandemic, poor economic situation, low education level, etc. (Alshikh Ahmad et al., 2021; Chen et al., 2022). Zejnullahu et al. (2021) conducted a prospective observational cohort study on 247 women who gave birth. Using bivariate and multivariable logistic regression analysis, they determined four predictive variables of PPD, including pregnancy complications, fear of delivery, prenatal depression or anxiety, and poor marital relationship (95% CI, p < 0.05). They also found that there was no statistically significant correlation between PPD and maternal age, education level, employment, family type, smoking, previous abortion, parity, etc. Røysted-Solås et al. (2022) reported that mothers who had a history of mental illness and neonatal death had the highest risk of PPD. During the prevalence of COVID-19, Shuman et al. (2022) investigated 670 postnatal patients in the United States and found that compared with mothers who breast fed or bottle fed their own breast milk, the probability of positive PPD screening for mothers who fed infant formula was 92% higher, and the probability of positive screening for severe depression was 73% higher. Different social and cultural factors may also affect the risk factors of PPD. In the future, large sample and high-quality research can be conducted to explore the risk factors of PPD. There are many risk factors of PPD, so it is very important to screen PPD early, eliminate risk factors and treat PPD in time (Hanach et al., 2022).

By analyzing the co-citation clusters and timeline knowledge map, we found that the COVID-19 epidemic is a recent research hotspot. An article published in the Lancet highlighted the need to study how to mitigate the impact of the COVID-19 epidemic on people’s mental health, particularly for vulnerable groups (Holmes et al., 2020). Zanardo et al. (2020) found that the Edinburgh Postnatal Depression Scale (EPDS) scores of parturient women who delivered during COVID-19 epidemic isolation in northeastern Italy was significantly higher than that of the control group (p = 0.001). Concerns about infection by the novel coronavirus and isolation measures taken during the epidemic have adverse effects on maternal thoughts and emotions and worsen depressive symptoms. Ostacoli et al. (2020) found that women who gave birth during the COVID-19 epidemic had a higher probability of PPD. Scholars believe that early detection of psychological problems during pregnancy is conducive to providing targeted prevention and therapeutic psychological intervention. Lebel et al. (2020) found that during the COVID-19 epidemic, the symptoms of anxiety and depression in pregnant women increased significantly, which can have long-term adverse effects on their children. Moreover, they believed that the adverse effects can be alleviated by increasing social support for pregnant women and strengthening their physical exercise.

Based on comprehensive analysis, the risk factors of PPD such as prenatal depression or anxiety, fear of delivery, etc., and the impact of COVID-19 pandemic on PPD are the research focuses of PPD in recent 5 years. The limitation of this study is that it only used CiteSpace to visually analyze the English literature related to this field in the Web of Science Core Collection, and the included literature was not comprehensive enough. Therefore, the results obtained in this study do not represent global research changes in this field. Thus, the results obtained from this study are biased to a certain extent.

Funding

This work was supported by the Development Course of the Professional Concept of Rehabilitation Therapy in China in the 20th Century (2021KJSKFKT-A03).

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.

References

• 1

  Alshikh AhmadH.AlkhatibA.LuoJ. (2021). Prevalence and risk factors of postpartum depression in the Middle East: a systematic review and meta-analysis. BMC Pregnancy Childbirth21:542. doi: 10.1186/s12884-021-04016-9

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 2

  BiaggiA.ConroyS.PawlbyS.ParianteC. M. (2016). Identifying the women at risk of antenatal anxiety and depression: a systematic review. J. Affect. Disord191, 62–77. doi: 10.1016/j.jad.2015.11.014

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 3

  ChenC. (2004). Searching for intellectual turning points: progressive knowledge domain visualization. Proc. Natl. Acad. Sci. U. S. A.101, 5303–5310. doi: 10.1073/pnas.0307513100

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 4

  ChenQ.LiW.XiongJ.ZhengX. (2022). Prevalence and risk factors associated with postpartum depression during the COVID-19 pandemic: a literature review and meta-analysis. Int. J. Environ. Res. Public Health19:2219. doi: 10.3390/ijerph19042219

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 5

  ChengB.HuX.RobertsN.ZhaoY.XuX.ZhouY.et al. (2022). Prolactin mediates the relationship between regional gray matter volume and postpartum depression symptoms. J. Affect. Disord.301, 253–259. doi: 10.1016/j.jad.2022.01.051

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 6

  ClarkC. T.SitD. K.ZumpfK. B.CiolinoJ. D.YangA.FisherS. D.et al. (2022). A comparison of symptoms of bipolar and unipolar depression in postpartum women. J. Affect. Disord.303, 82–90. doi: 10.1016/j.jad.2022.01.064

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 7

  CuijpersP.KaryotakiE. (2021). The effects of psychological treatment of perinatal depression: an overview. Arch. Womens Ment. Health24, 801–806. doi: 10.1007/s00737-021-01159-8

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 8

  DangQ.LuoZ.OuyangC.WangL. (2021). First systematic review on health communication using the CiteSpace software in China: exploring its research hotspots and Frontiers. Int. J. Environ. Res. Public Health18:13008. doi: 10.3390/ijerph182413008

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 9

  DenckerA.NilssonC.BegleyC.JangstenE.MollbergM.PatelH.et al. (2019). Causes and outcomes in studies of fear of childbirth: a systematic review. Women Birth32, 99–111. doi: 10.1016/j.wombi.2018.07.004

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 10

  DennisC. L.Falah-HassaniK.ShiriR. (2017a). Prevalence of antenatal and postnatal anxiety: systematic review and meta-analysis. Br. J. Psychiatry J. Ment. Sci.210, 315–323. doi: 10.1192/bjp.bp.116.187179

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 11

  DennisC. L.MerryL.GagnonA. J. (2017b). Postpartum depression risk factors among recent refugee, asylum-seeking, non-refugee immigrant, and Canadian-born women: results from a prospective cohort study. Soc. Psychiatry Psychiatr. Epidemiol.52, 411–422. doi: 10.1007/s00127-017-1353-5

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 12

  FairbrotherN.JanssenP.AntonyM. M.TuckerE.YoungA. H. (2016). Perinatal anxiety disorder prevalence and incidence. J. Affect. Disord.200, 148–155. doi: 10.1016/j.jad.2015.12.082

  • CrossRef
  • Google Scholar

• 13

  FigueiredoB.PintoT. M.CostaR. (2021). Exclusive breastfeeding moderates the association between prenatal and postpartum depression. J. Hum. Lact.37, 784–794. doi: 10.1177/0890334421991051

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 14

  GollanJ. K.YangA.CiolinoJ. D.SitD.WisnerK. L. (2021). Postpartum anhedonia: emergent patterns in bipolar and unipolar depression. Psychiatry Res.306:114274. doi: 10.1016/j.psychres.2021.114274

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 15

  GrigoriadisS.GravesL.PeerM.MamisashviliL.TomlinsonG.VigodS. N.et al. (2019). A systematic review and meta-analysis of the effects of antenatal anxiety on postpartum outcomes. Arch. Womens Ment. Health22, 543–556. doi: 10.1007/s00737-018-0930-2

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 16

  GuoY.XuZ. Y.CaiM. T.GongW. X.ShenC. H. (2022). Epilepsy with suicide: a Bibliometrics study and visualization analysis via CiteSpace. Front. Neurol.12:823474. doi: 10.3389/fneur.2021.823474

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 17

  HanachN.RadwanH.FakhryR.DennisC. L.IssaW. B.FarisM. E.et al. (2022). Prevalence and risk factors of postpartum depression among women living in the United Arab Emirates. Soc. Psychiatry Psychiatr. Epidemiol.35, 1–13. doi: 10.1007/s00127-022-023 72-1

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 18

  HolmesE. A.O'ConnorR. C.PerryV. H.TraceyI.WesselyS.ArseneaultL.et al. (2020). Multidisciplinary research priorities for the COVID-19 pandemic: a call for action for mental health science. Lancet Psychiatry. 7, 547–560. doi: 10.1016/S2215-0366(20)30168-1

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 19

  JulianM.LeH. N.Coussons-ReadM.HobelC. J.Dunkel SchetterC. (2021). The moderating role of resilience resources in the association between stressful life events and symptoms of postpartum depression. J. Affect. Disord.293, 261–267. doi: 10.1016/j.jad.2021.05.082

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 20

  KoutraK.VassilakiM.GeorgiouV.KoutisA.BitsiosP.KogevinasM.et al. (2018). Pregnancy, perinatal and postpartum complications as determinants of postpartum depression: the Rhea mother-child cohort in Crete, Greece. Epidemiol. Psychiatr. Sci.27, 244–255. doi: 10.1017/S2045796016001062

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 21

  LebelC.MacKinnonA.BagshaweM.Tomfohr-MadsenL.GiesbrechtG. (2020). Elevated depression and anxiety symptoms among pregnant individuals during the COVID-19 pandemic. J. Affect. Disord.277, 5–13. doi: 10.1016/j.jad.2020.07.12 6

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 22

  LewisB. A.SchuverK.DunsigerS.SamsonL.FrayehA. L.TerrellC. A.et al. (2021). Randomized trial examining the effect of exercise and wellness interventions on preventing postpartum depression and perceived stress. BMC Pregnancy Childbirth21:785. doi: 10.1186/s12884-021-04257-8

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 23

  LiH.WangT.ShiC.YangY.LiX.WuY.et al. (2018). Inhibition of GALR1 in PFC alleviates depressive-like behaviors in postpartum depression rat model by Upregulating CREB-BNDF and 5-HT levels. Front. Psych.9:588. doi: 10.3389/fpsyt.2018.00588

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 24

  LinH.WangX.HuangM.LiZ.ShenZ.FengJ.et al. (2020). Research hotspots and trends of bone defects based on web of science: a bibliometric analysis. J. Orthop. Surg. Res.15:463. doi: 10.1186/s13018-020-01973-3

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 25

  LuoH.CaiZ.HuangY.SongJ.MaQ.YangX.et al. (2021). Study on pain Catastrophizing from 2010 to 2020: a Bibliometric analysis via CiteSpace. Front. Psychol.12:759347. doi: 10.3389/fpsyg.2021.759347

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 26

  MartiniJ.WittchenH. U.SoaresC. N.RiederA.SteinerM. (2009). New women-specific diagnostic modules: the composite international diagnostic interview for women (CIDI-VENUS). Arch. Womens Ment. Health12, 281–289. doi: 10.1007/s00737-009-0077-2

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 27

  OstacoliL.CosmaS.BevilacquaF.BerchiallaP.BovettiM.CarossoA. R.et al. (2020). Psychosocial factors associated with postpartum psychological distress during the COVID-19 pandemic: a cross-sectional study. BMC Pregnancy Childbirth20:703. doi: 10.1186/s12884-020-03399-5

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 28

  PengS.LaiX.DuY.MengL.GanY.ZhangX. (2021). Prevalence and risk factors of postpartum depression in China: a hospital-based cross-sectional study. J. Affect. Disord.282, 1096–1100. doi: 10.1016/j.jad.2021.01.012

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 29

  PutnamK. T.WilcoxM.Robertson-BlackmoreE.SharkeyK.BerginkV.Munk-OlsenT.et al. (2017). Clinical phenotypes of perinatal depression and time of symptom onset: analysis of data from an international consortium. Lancet Psychiatry4, 477–485. doi: 10.1016/S2215-0366 (17)30136-0

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 30

  Røysted-SolåsT.HinderakerS. G.UbesekaraL.De SilvaV. (2022). Mothers at risk of postpartum depression in Sri Lanka: a population-based study using a validated screening tool. PLoS One17:e0268748. doi: 10.1371/journal.pone.0268748

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 31

  ShoreyS.LauY.DennisC. L.ChanY. S.TamW.ChanY. H. (2017). A randomized-controlled trial to examine the effectiveness of the 'Home-but not Alone' mobile-health application educational programme on parental outcomes. J. Adv. Nurs.73, 2103–2117. doi: 10.1111/jan.13293

  • CrossRef
  • Google Scholar

• 32

  ShouX.WangY.JiaQ.ShiJ.ZhangX.ShiS.et al. (2022). Knowledge domain and emerging trends in Takotsubo cardiomyopathy: a scientometric review based on cite space analysis. Ann. Palliat. Med.11, 1505–1517. doi: 10.21037/apm-21-2645

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 33

  ShumanC. J.PeahlA. F.PareddyN.MorganM. E.ChiangongJ.VelizP. T.et al. (2022). Postpartum depression and associated risk factors during the COVID-19 pandemic. BMC. Res. Notes15:102. doi: 10.1186/s13104-022-05991-8

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 34

  SunL.WangS.LiX. Q. (2021). Association between mode of delivery and postpartum depression: a systematic review and network meta-analysis. Aust. N. Z. J. Psychiatry55, 588–601. doi: 10.1177/0004867420954284

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 35

  US Preventive Services Task ForceCurryS. J.KristA. H.OwensD. K.BarryM. J.CaugheyA. B.et al. (2019). Interventions to prevent perinatal depression: US preventive services task force recommendation statement. JAMA321, 580–587. doi: 10.1001/jama.2019.0007

  • CrossRef
  • Google Scholar

• 36

  WalkerA. L.de RooijS. R.DimitrovaM. V.WitteveenA. B.VerhoevenC. J.de JongeA.et al. (2021). Psychosocial and peripartum determinants of postpartum depression: findings from a prospective population-based cohort. The ABCD study. Compr. Psychiatry108:152239. doi: 10.1016/j.comppsych.2021.152239

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 37

  WangJ.YunQ.MaS. F.SongH. R.GuoM. N.ZhangW. N. (2020). Inhibition of expression of glucocorticoids receptors may contribute to postpartum depression. Biochem. Biophys. Res. Commun.523, 159–164. doi: 10.1016/j.bbrc.2019.12.040

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 38

  WisnerK. L.SitD. K.McSheaM. C.RizzoD. M.ZoretichR. A.HughesC. L.et al. (2013). Onset timing, thoughts of self-harm, and diagnoses in postpartum women with screen-positive depression findings. JAMA Psychiat.70, 490–498. doi: 10.1001/jamapsy chiatry.2013.87

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 39

  ZanardoV.ManghinaV.GilibertiL.VettoreM.SeverinoL.StrafaceG. (2020). Psychological impact of COVID-19 quarantine measures in northeastern Italy on mothers in the immediate postpartum period. Int. J. Gynaecol. Obstet.150, 184–188. doi: 10.1002/ijgo.13249

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 40

  ZejnullahuV. A.Ukella-LleshiD.ZejnullahuV. A.MiftariE.GovoriV. (2021). Prevalence of postpartum depression at the clinic for obstetrics and gynecology in Kosovo teaching hospital: demographic, obstetric and psychosocial risk factors. Eur. J. Obstet. Gynecol. Reprod. Biol.256, 215–220. doi: 10.1016/j.ejogrb.2020.11.025

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 41

  ZhuK.LinR.LiH. (2021). Study of virtual reality for mild cognitive impairment: a bibliometric analysis using CiteSpace. Int. J. Nurs. Sci.9, 129–136. doi: 10.1016/j.ijnss.2021.12.007

  • Pubmed Abstract
  • CrossRef
  • Google Scholar

• 42

  ZhongD.Li,Y.HuangY.HongX.Li,J.JinR. (2022). Molecular mechanisms of exercise on cancer: a bibliometrics study and visualization analysis via citeSpace. Front. Mol. Biosci. 8: 797902. doi: 10.3389/fmolb.2021.797902

  • Pubmed Abstract
  • CrossRef
  • Google Scholar