Evidence map›Paper›PMID 29463221›Full record

ArticleBMC psychiatry2018

Determinants of antenatal depression and postnatal depression in Australia.

Felix Akpojene Ogbo, John Eastwood, Alexandra Hendry, Bin Jalaludin, Kingsley E Agho, Bryanne Barnett, Andrew Page

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 8 pooled it
15.6field-weighted citation impact, top 1% 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

75 citing papers in PubMed, 8 syntheses or guidelines pooled it, 154 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Trial
  10. Trial
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. A multicenter study on the mental health of Brazilian adolescent mothers, 2024.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2025
    Article

15 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Felix Akpojene OgboTranslational Health Research Institute, School of Medicine, Western Sydney University, Campbelltown Campus, Locked Bag 1797, Penrith, NSW, 2571, Australia. f.ogbo@westernsyndey.edu.au.
John EastwoodIngham Institute for Applied Medical Research, University of New South Wales, 1 Campbell Street, Liverpool, NSW, 2170, Australia.
Alexandra HendryIngham Institute for Applied Medical Research, University of New South Wales, 1 Campbell Street, Liverpool, NSW, 2170, Australia.
Bin JalaludinIngham Institute for Applied Medical Research, University of New South Wales, 1 Campbell Street, Liverpool, NSW, 2170, Australia.
Kingsley E AghoTranslational Health Research Institute, School of Medicine, Western Sydney University, Campbelltown Campus, Locked Bag 1797, Penrith, NSW, 2571, Australia.
Bryanne BarnettSt John of God Health Care, Blacktown, NSW, Australia.
Andrew PageTranslational Health Research Institute, School of Medicine, Western Sydney University, Campbelltown Campus, Locked Bag 1797, Penrith, NSW, 2571, Australia.
UNSW Sydney · AUWestern Sydney University · AUSouth Western Sydney Local Health District · AUSydney Local Health District · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression is a leading source of morbidity and health loss in Australian women. This study investigates the determinants of antenatal depressive symptoms and postnatal depressive symptoms in an Australian population, including people from culturally and linguistically diverse (CALD) backgrounds.

methodThe study used a retrospective cohort of mothers of all live births in public health facilities in 2014 (N = 17,564) within South Western Sydney Local Health District and Sydney Local Health District in New South Wales, Australia. Prevalence of antenatal and postnatal depressive symptoms were estimated for the cohort. Multivariate logistic regression models were conducted to investigate the sociodemographic, psychological and health service determinants of antenatal and postnatal depressive symptoms, measured using the Edinburgh Postnatal Depression Scale (EPDS).

resultsThe prevalence of antenatal and postnatal depressive symptoms was 6.2% and 3.3% of the cohort, respectively. Significant risk factors for maternal depressive symptoms during pregnancy were, a lack of partner support, history of intimate partner violence, being from the CALD population and low socioeconomic status. Self-reported antenatal depressive symptoms were strongly associated with postnatal depressive symptoms. Risk factors for postnatal depressive symptoms were similar to those for antenatal depressive symptoms, as well as assisted delivery.

conclusionFactors relating to demographic and psychosocial disadvantage were associated with subsequent antenatal and postnatal depressive symptoms in New South Wales, Australia. Our study suggests that screening for probable depression and timely referral for expert assessment of at-risk mothers may be an effective strategy to improve maternal mental health outcomes.

Indexed as

AdultAustraliaDepression, PostpartumFemaleHumansIntimate Partner ViolenceMothersNew South WalesPregnancyPregnancy ComplicationsPrenatal DiagnosisPrevalencePsychiatric Status Rating ScalesRetrospective StudiesRisk FactorsSelf ReportantenatalAustraliadepressiondeterminantsperinatalpostnatalpregnancy

Identifiers

PMID29463221
PMCPMC5819705
OpenAlexW2794625514

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.