Evidence map›Paper›PMID 41007588›Full record

ArticleInternational journal of environmental research and public health2025

Prevalence of Depressive Symptoms Amongst Pregnant Women Attending Antenatal Clinics at Quaternary Hospital in Johannesburg, South Africa: A Cross-Sectional Study.

Ugasvaree Subramaney, Lawrence Chauke

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Ugasvaree SubramaneyDepartment of Psychiatry, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2000, South Africa.
Lawrence ChaukeDepartment of Obstetrics and Gynecology, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2000, South Africa.ORCID 0000-0001-7051-6959

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antenatal depression significantly contributes to maternal and neonatal morbidity worldwide; however, the rate of screening, particularly in low- and middle-income countries (LMICs), remains very low. This cross-sectional survey study was aimed at determining the prevalence of depressive symptoms among women aged 18 to 34 years attending antenatal clinics at a quaternary hospital in Johannesburg, South Africa, utilizing a Biographical Questionnaire and the Edinburgh Postnatal Depression Scale (EPDS). The study is based on a total of 151 questionnaires. The mean age of the study population was 27.6 years (range: 18-34). Majority of participants identified themselves as Black (138, 91.4%), had previously been pregnant (111, 73.5%), were in the third trimester of pregnancy (89, 58.9%), were unemployed or seeking employment (108, 71.5%), and had no pre-existing medical (107, 70.9%) or mental illnesses (143, 94.7%). The prevalence of antenatal depressive symptoms among the study population was 43.7% (66/151), and 18 (27.3%) of the women who screened positive had suicidal ideation. The prevalence of antenatal depressive symptoms in this study exceeds that reported in other regions, underscoring the urgent need for universal screening throughout pregnancy and provision of perinatal mental healthcare services for pregnant and postpartum women.

Indexed as

DepressionPregnancy ComplicationsAdolescentAdultCross-Sectional StudiesFemaleHumansPregnancyPrenatal CarePrevalenceSouth AfricaSurveys and QuestionnairesYoung Adultantenatal depressionEPDShigh risk pregnancyprevalence

Identifiers

PMID41007588
PMCPMC12469640

What OpenQuestion holds

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Registered trials

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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.