Evidence map›Paper›PMID 28852868›Full record

ArticleArchives of women's mental health2017

Prevalence and predictors of anxiety disorders amongst low-income pregnant women in urban South Africa: a cross-sectional study.

Thandi van Heyningen, Simone Honikman, Landon Myer, Michael N Onah, Sally Field, Mark Tomlinson

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Archives of women's mental health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 8 pooled it
–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

73 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  13. Prevalence of depressive symptoms among teachers in the Tshwane Metropolitan Municipality, South Africa.The South African journal of psychiatry : SAJP : the journal of the Society of Psychiatrists of South Africa · 2026
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13 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

6 authors.

Thandi van HeyningenPerinatal Mental Health Project, Alan J. Flisher Centre for Public Mental Health, Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa. thandivh@gmail.com.ORCID 0000-0002-5812-6170
Simone HonikmanPerinatal Mental Health Project, Alan J. Flisher Centre for Public Mental Health, Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa.
Landon MyerDivision of Epidemiology & Biostatistics, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa.
Michael N OnahPerinatal Mental Health Project, Alan J. Flisher Centre for Public Mental Health, Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa.
Sally FieldPerinatal Mental Health Project, Alan J. Flisher Centre for Public Mental Health, Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa.
Mark TomlinsonAlan J. Flisher Centre for Public Mental Health, Department of Psychology, Stellenbosch University, Stellenbosch, South Africa.

Funding

The Global Partnership for AIDS Behavioral Research: South Africa and U.S.R24AA022919 · NIAAA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ROTHERAM-BORUS, MARY JANE · 2013 to 2017
$2.4M
NIAAA NIH HHS R24 AA022919
6 · The paper itself

Abstract

Anxiety is highly prevalent in many populations; however, the burden of anxiety disorders amongst pregnant women in low-resource settings is not well documented. We investigated the prevalence and predictors of antenatal anxiety disorders amongst low-income women living with psychosocial adversity. Pregnant women were recruited from an urban, primary level clinic in Cape Town, South Africa. The Mini-International Neuropsychiatric Interview diagnostic interview assessed prevalence of anxiety disorders. Four self-report questionnaires measured psychosocial characteristics. Logistic regression models explored demographic and socioeconomic characteristics, psychosocial risk factors and psychiatric comorbidity as predictors for anxiety disorders. Amongst 376 participants, the prevalence of any anxiety disorder was 23%. Although 11% of all women had post-traumatic stress disorder, 18% of the total sample was diagnosed with other anxiety disorders. Multivariable analysis revealed several predictors for anxiety including a history of mental health problems (adjusted odds ratio [AOR] 4.11; 95% confidence interval (CI) 2.03-8.32), Major depressive episode (MDE) diagnosis (AOR 3.83; CI 1.99-7.31), multigravidity (AOR 2.87; CI 1.17-7.07), food insecurity (AOR 2.57; CI 1.48-4.46), unplanned and unwanted pregnancy (AOR 2.14; CI 1.11-4.15), pregnancy loss (AOR 2.10; CI 1.19-3.75) and experience of threatening life events (AOR 1.30; CI 1.04-1.57). Increased perceived social support appeared to reduce the risk for antenatal anxiety (AOR 0.95; CI 0.91-0.99). A range of antenatal anxiety disorders are prevalent amongst pregnant women living in low-resource settings. Women who experience psychosocial adversity may be exposed to multiple risk factors, which render them vulnerable to developing antenatal anxiety disorders.

Indexed as

PovertyPrenatal CareAdolescentAdultAnxietyAnxiety DisordersComorbidityCross-Sectional StudiesFemaleHumansLogistic ModelsMajor Depressive DisorderPregnancyPregnancy ComplicationsPregnant PeoplePrevalenceAntenatal anxiety disordersLow-income settingPerinatal mental healthPregnancyRisk factors

Identifiers

PMID28852868
PMCPMC6086488

What OpenQuestion holds

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Read underepoch 390

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.