| Literature DB >> 35122433 |
Meysam Safi-Keykaleh1, Fatemeh Aliakbari2, Hamid Safarpour3,4, Mehdi Safari5, Azadeh Tahernejad5, Hojjat Sheikhbardsiri6, Ali Sahebi3.
Abstract
COVID-19 outbreaks appear to be related to exacerbation of psychological problems such as depression and anxiety in high-risk population such as pregnant women and the postpartum period due to stress and life-threatening illnesses. The aim of this study was to evaluate the prevalence of postpartum depression (PPD) during COVID-19. This study protocol is registered in PROSPERO with CRD42021278425 code. Data sources including Google Scholar, ISC, Magiran, Scopus, PubMed, Embase, and Web of Science and reference list of included articles were used to identify related studies. Observational studies that reported the prevalence of PPD in both Persian and English during COVID-19 between January 20, 2020 and August 31, 2021 were included. Data were collected and analyzed with a random effects model for meta-analysis. In this study, 671 initial articles were identified and after removing duplicates, 454 studies were screened and finally 24 studies entered the meta-analysis stage. According to this study results PPD based on Edinburgh Postnatal Depression Scale (EPDS) ≥9, EPDS ≥10, EPDS ≥11, EPDS ≥12, EPDS ≥13, Postpartum Depression Screening Scale-Short Form (PDSS-SF) ≥17 and total prevalence was reported 12% (95% confidence interval [CI] = 0.07-17, I2 = 97%), 27% (95% CI = 15-39, I2 = 99%), 44% (95% CI = 40-49, I2 = 0.0%), 27% (95% CI = 0.06-49, I2 = 97.4%), 28% (95% CI = 18-39, I2 = 98.5%), 37% (95% CI = 32-42), 28% (95% CI = 23-33, I2 = 98.5%). The findings of this study showed that the prevalence of PPD in women is relatively high during COVID-19. Therefore, considering the psychological consequences of the COVID-19 pandemic and the importance of pregnancy and the postpartum period in terms of the emergence of mental disorders, especially depression, it seems necessary to perform interventions and physical and psychological support.Entities:
Keywords: COVID-19; mental health; postpartum depression; women
Mesh:
Year: 2022 PMID: 35122433 PMCID: PMC9087783 DOI: 10.1002/ijgo.14129
Source DB: PubMed Journal: Int J Gynaecol Obstet ISSN: 0020-7292 Impact factor: 4.447
Search strategy in database types
| Database | Search syntax |
|---|---|
| PubMed | ((“Postnatal Depression” OR “Post‐Partum Depression” OR “Post‐Partum Depression” OR “Postpartum Depression” OR “Post‐Natal Depression” OR “Post Natal Depression”) AND (“2019 novel coronavirus disease” OR COVID19 OR “COVID‐19 pandemic” OR “SARS‐CoV‐2 infection” OR “COVID‐19 virus disease” OR “2019 novel coronavirus infection” OR “2019‐nCoV infection” OR “Coronavirus disease 2019” OR “2019‐nCoV disease” OR “COVID‐19 virus infection”)) |
| Scopus | (((ALL(“Postnatal Depression”) OR ALL(“Post‐Partum Depression”) OR ALL(“Post‐Partum Depression”) OR ALL(“Postpartum Depression”) OR ALL(“Post‐Natal Depression”) OR ALL(“Post Natal Depression”)) AND (ALL(“2019 novel coronavirus disease”) OR ALL(COVID19) OR ALL(“COVID‐19 pandemic”) OR ALL(“SARS‐CoV‐2 infection”) OR ALL(“COVID‐19 virus disease”) OR ALL(“2019 novel coronavirus infection”) OR ALL(“2019‐nCoV infection”) OR ALL(“Coronavirus disease 2019”) OR ALL(“2019‐nCoV disease”) OR ALL(“COVID‐19 virus infection”)))) |
| Web of science | (((TS = (“Postnatal Depression”) OR TS = (“Post‐Partum Depression”) OR TS = (“Post‐Partum Depression”) OR TS = (“Postpartum Depression”) OR TS = (“Post‐Natal Depression”) OR TS = (“Post Natal Depression”)) AND (TS = (“2019 novel coronavirus disease”) OR TS = (COVID19) OR TS = (“COVID‐19 pandemic”) OR TS = (“SARS‐CoV‐2 infection”) OR TS = (“COVID‐19 virus disease”) OR TS = (“2019 novel coronavirus infection”) OR TS = (“2019‐nCoV infection”) OR TS = (“Coronavirus disease 2019”) OR TS = (“2019‐nCoV disease”) OR TS = (“COVID‐19 virus infection”)))) |
FIGURE 1Flowchart of the selection of studies based on PRISMA
Characteristics of entered study in systematic review and meta‐analysis
| First author | Type of study | Location | Tools | Sample size | Prevalence of PPD (%) |
|---|---|---|---|---|---|
| An | Cross‐sectional | China | EPDS ≥10 | 209 | 56.9 |
|
Ceulemans | Cross‐sectional | Ireland, Norway, Switzerland, Netherlands, United Kingdom | EPDS ≥13 | 5134 | 13 |
| Stojanov | Cross‐sectional | Serbia | EPDS ≥10 | 108 | 14.8 |
| Fallon | Cross‐sectional | UK | EPDS ≥13 | 614 | 43 |
| Guvenc | Cross‐sectional | Turkey | EPDS ≥13 | 212 | 34.0 |
| Hiiragi | Retrospective cohort | Japan | EPDS ≥9 | 279 | 14 |
| Baran | Cross‐sectional | Poland | EPDS ≥11 | 130 | 40 |
| Liang | Cross‐sectional | China | EPDS ≥10 | 864 | 30.0 |
| Loret de Mola | Retrospective cohort | Brazil | EPDS ≥13 | 1042 | 29.3 |
| Mariño‐Narvaez | Cross‐sectional | Spanish | EPDS ≥10 | 75 | 22.4 |
| Oskovi‐Kaplan | Cross‐sectional | Turkey | EPDS ≥13 | 223 | 14.7 |
| Ostacoli | Cross‐sectional | Italy | EPDS ≥11 | 163 | 44.2 |
| Pariente | Retrospective cohort | Israel | EPDS ≥10 | 223 | 16.7 |
| Spinola | Cross‐sectional | Italy | EPDS ≥12 | 243 | 44 |
| Suárez‐Rico | Cross‐sectional | Mexico | EPDS ≥13 | 293 | 39.2 |
| Suzuki | Cross‐sectional | Japan | EPDS ≥9 | 132 | 14.4 |
| Myers | Cross‐sectional | United Kingdom | EPDS ≥11 | 162 | 47.5 |
| Vatcheva | Cross‐sectional | Belgium | EPDS ≥13 | 34 | 26 |
| Hui | Retrospective cohort | Hong Kong | EPDS ≥10 | 802 | 2.9 |
| Hui | Retrospective cohort | Hong Kong | EPDS ≥10 | 925 | 14.4 |
| Miranda | Cross‐sectional | Argentina | PDSS‐SF ≥17 | 305 | 37 |
| Terada | Cross‐sectional | Japan | EPDS ≥9 | 461 | 7.6 |
| Zanardo | Case – control | Italy | EPDS ≥12 | 91 | 26 |
| Tarabay | Cross‐sectional | Saudi Arabia | EPDS ≥10 |
|
|
| Madera | Case – control | Italy | EPDS ≥12 | 295 | 11.9 |
Abbreviations: EPDS, Edinburgh Postnatal Depression Scal; PDSS‐SF, Postpartum Depression Screening Scale‐Short Form; PPD, postpartum depression.
Bold values indicate statistically significant.
FIGURE 2Forest plot of the prevalence of PPD among women during COVID‐19 in general and separately with 95% confidence interval. PPD, postpartum depression
FIGURE 3Publication bias based on Begg test