Evidence map›Paper›PMID 38376751›Full record

SynthesisSocial psychiatry and psychiatric epidemiology2024

Perinatal depression and its associated risk factors during the COVID-19 pandemic in low- and middle-income countries: a systematic review and meta-analysis.

Deepanjali Behera, Shweta Bohora, Snehasish Tripathy, Poshan Thapa, Muthusamy Sivakami

Erratum issuedAbstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Social psychiatry and psychiatric epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
6.0field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 5 institutions in 3 countries.

Deepanjali BeheraSchool of Public Health, Kalinga Institute of Industrial Technology (KIIT) Deemed To Be University, Campus-5 (KIMS), Bhubaneswar, 751024, Odisha, India. deepanjali.behera@gmail.com.ORCID http://orcid.org/0000-0001-6394-2191
Shweta BohoraSchool of Population and Global Health, University of Melbourne, Melbourne, Australia.
Snehasish TripathyCentre for Mental Health, Law and Policy, Indian Law Society, Pune, India.
Poshan Thapa *School of Population and Global Health, McGill University, Quebec, Canada.ORCID http://orcid.org/0000-0002-3333-1434
Muthusamy Sivakami *School of Health Systems Studies, Tata Institute of Social Sciences, Mumbai, India.
Indian Law Institute · INKIIT University · INMcGill University · CATata Institute of Social Sciences · INThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePerinatal depression significantly impacts maternal and child health, with further complexities arising during the COVID-19 pandemic. This review is the first to comprehensively synthesize evidence on the prevalence of perinatal depression and its associated risk factors in Low- and Middle-Income Countries (LMICs) during the pandemic period.

methodsThe study protocol was registered in PROSPERO (CRD42022326991). This review followed the Joanna Briggs Institute (JBI) guideline for prevalence studies. A comprehensive literature search was conducted in six databases: PubMed, Scopus, Web of Science, PsycInfo, CINAHL, and ProQuest. Pooled prevalence estimates were computed for both prenatal and postnatal depression. Identified risk factors were summarized narratively.

resultsA total of 5169 studies were screened, out of which 58 were included in the narrative review and 48 [prenatal (n = 36) and postnatal (n = 17)] were included in the meta-analysis. The pooled depression prevalence for prenatal women was 23% (95% CI: 19-27%), and for the postnatal women was 23% (95% CI: 18-30%). Maternal age, education, perceived fear of COVID-19 infection, week of pregnancy, pregnancy complications, and social and family support were identified as associated risk factors for depression.

conclusionsOur review demonstrates an increased prevalence of perinatal depression during the COVID-19 pandemic in LMICs. It sheds light on the significant burden faced by pregnant and postnatal women and emphasizes the necessity for targeted interventions during the ongoing and potential future crisis.

Indexed as

COVID-19DepressionDeveloping CountriesPregnancy ComplicationsFemaleHumansPregnancyPrevalenceRisk FactorsCOVID-19Low- and middle-income countriesMeta-analysisPandemicPerinatal depressionSystematic review

Identifiers

PMID38376751
OpenAlexW4391982046

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.