Evidence map›Paper›PMID 35130270›Full record

ArticlePloS one2022

Burden and risk factors for antenatal depression and its effect on preterm birth in South Asia: A population-based cohort study.

Rasheda Khanam, Jennifer Applegate, Imran Nisar, Arup Dutta, Sayedur Rahman, Ambreen Nizar, Said Mohammed Ali, Nabidul Haque Chowdhury, Farzana Begum, Usha Dhingra and 14 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
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  3. Observational
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  8. Review
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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

24 authors at 7 institutions in 6 countries.

Rasheda KhanamDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.ORCID 0000-0002-9365-8594
Jennifer ApplegateDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Imran NisarAga Khan University, Department of Paediatrics and Child Health, Karachi, Sindh, Pakistan.
Arup DuttaCenter for Public Health Kinetics, Global Division, New Delhi, India.
Sayedur RahmanProjahnmo Research Foundation, Abanti, Banani, Dhaka, Bangladesh.ORCID 0000-0002-4445-3699
Ambreen NizarAga Khan University, Department of Paediatrics and Child Health, Karachi, Sindh, Pakistan.
Said Mohammed AliPublic Health Laboratory-IDC, Chake Chake, Pemba, Tanzania.
Nabidul Haque ChowdhuryProjahnmo Research Foundation, Abanti, Banani, Dhaka, Bangladesh.
Farzana BegumAga Khan University, Department of Paediatrics and Child Health, Karachi, Sindh, Pakistan.
Usha DhingraCenter for Public Health Kinetics, Global Division, New Delhi, India.
Fahmida TofailInternational Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Usma MehmoodAga Khan University, Department of Paediatrics and Child Health, Karachi, Sindh, Pakistan.
Saikat DebCenter for Public Health Kinetics, Global Division, New Delhi, India.
Salahuddin AhmedProjahnmo Research Foundation, Abanti, Banani, Dhaka, Bangladesh.
Sajid MuhammadAga Khan University, Department of Paediatrics and Child Health, Karachi, Sindh, Pakistan.
Sayan DasCenter for Public Health Kinetics, Global Division, New Delhi, India.
Saifuddin AhmedDepartment of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Harshita MittalCenter for Public Health Kinetics, Global Division, New Delhi, India.
Nicole MinckasWorld Health Organization (MCA/MRD), Geneva, Switzerland.
Sachiyo YoshidaWorld Health Organization (MCA/MRD), Geneva, Switzerland.ORCID 0000-0002-1101-8535
Rajiv BahlWorld Health Organization (MCA/MRD), Geneva, Switzerland.
Fyezah JehanAga Khan University, Department of Paediatrics and Child Health, Karachi, Sindh, Pakistan.
Sunil SazawalCenter for Public Health Kinetics, Global Division, New Delhi, India.
Abdullah H BaquiDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Aga Khan University · PKJohns Hopkins University · USCenter for Disease Dynamics, Economics and Policy · INPublic Health Laboratory Ivo de Carneri · TZWorld Health Organization · CHBiomedical Research Foundation · BDInternational Centre for Diarrhoeal Disease Research · BD

Funding

World Health Organization 001
6 · The paper itself

Abstract

introductionWomen experience high rates of depression, particularly during pregnancy and the postpartum periods. Using population-based data from Bangladesh and Pakistan, we estimated the burden of antenatal depression, its risk factors, and its effect on preterm birth.

methodsThe study uses the following data: maternal depression measured between 24 and 28 weeks of gestation using the 9-question Patient Health Questionnaire (PHQ-9); data on pregnancy including an ultrasound before 19 weeks of gestation; data on pregnancy outcomes; and data on woman's age, education, parity, weight, height, history of previous illness, prior miscarriage, stillbirth, husband's education, and household socioeconomic data collected during early pregnancy. Using PHQ-9 cutoff score of ≥12, women were categorized into none to mild depression or moderate to moderately severe depression. Using ultrasound data, preterm birth was defined as babies born <37 weeks of gestation. To identify risk ratios (RR) for antenatal depression, unadjusted and adjusted RR and 95% confidence intervals (CI) were calculated using log- binomial model. Log-binomial models were also used for determining the effect of antenatal depression on preterm birth adjusting for potential confounders. Data were analyzed using Stata version 16 (StataCorp LP).

resultsAbout 6% of the women reported moderate to moderately severe depressive symptoms during the antenatal period. A parity of ≥2 and the highest household wealth status were associated with an increased risk of depression. The overall incidence of preterm birth was 13.4%. Maternal antenatal depression was significantly associated with the risk of preterm birth (ARR, 95% CI: 1.34, 1.02-1.74).

conclusionThe increased risk of preterm birth in women with antenatal depression in conjunction with other significant risk factors suggests that depression likely occurs within a constellation of other risk factors. Thus, to effectively address the burden of preterm birth, programs require developing and providing integrated care addressing multiple risk factors.

Indexed as

AdultAsiaBangladeshCohort StudiesDepressionFemaleHumansInfant, NewbornPakistanPregnancyPregnancy ComplicationsPregnancy OutcomePremature BirthPrenatal CareRisk FactorsYoung Adult

Identifiers

PMID35130270
PMCPMC8820649
OpenAlexW4210385439

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.