Evidence map›Paper›PMID 35080279›Full record

ArticleTropical medicine & international health : TM & IH2022

Common perinatal mental disorders and post-infancy child development in rural Ethiopia: A population-based cohort study.

Julia Alexandra Dunn, Girmay Medhin, Michael Dewey, Atalay Alem, Bogale Worku, Diana Paksarian, Charles R Newton, Mark Tomlinson, Martin Prince, Charlotte Hanlon

Open access · hybridAbstract read
In one paragraph

Article in Tropical medicine & international health : TM & IH, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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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

10 authors at 5 institutions in 4 countries.

Julia Alexandra DunnHealth Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's Colleges London, Centre for Global Mental Health, London, UK.
Girmay MedhinAklilu-Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia.
Michael DeweyHealth Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's Colleges London, Centre for Global Mental Health, London, UK.
Atalay AlemDepartment of Psychiatry, WHO Collaborating Centre for Mental Health Research and Capacity-Building, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Bogale WorkuDepartment of Paediatrics and Community Health, Addis Ababa University, Addis Ababa, Ethiopia.
Diana PaksarianGenetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, Maryland, USA.
Charles R NewtonDepartment of Psychiatry, University of Oxford, Oxford, UK.
Mark TomlinsonDepartment of Global Health, Institute for Life Course Health Research, Stellenbosch University, Cape Town, South Africa.
Martin PrinceKing's College London, King's Global Health Institute, London, UK.
Charlotte HanlonHealth Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's Colleges London, Centre for Global Mental Health, London, UK.ORCID 0000-0002-7937-3226
King's College London · GBAddis Ababa University · ETNational Institute of Mental Health · USQueen's University Belfast · GBUniversity of Oxford · GB

Funding

Department of Health NIHR200842Wellcome TrustWellcome Trust GR071643Wellcome Trust GR081504
6 · The paper itself

Abstract

objectiveTo investigate whether maternal common mental disorders (CMD) in the postnatal period are prospectively associated with child development at 2.5 and 3.5 years in a rural low-income African setting.

methodsThis study was nested within the C-MaMiE (Child outcomes in relation to Maternal Mental health in Ethiopia) population-based cohort in Butajira, Ethiopia, and conducted from 2005 to 2006. The sample comprised of 496 women who had recently given birth to living, singleton babies with recorded birth weight measurements, who were 15 to 44 years of age, and residing in six rural sub-districts. Postnatal CMD measurements were ascertained 2 months after delivery. Language, cognitive, and motor development were obtained from the child 2.5 and 3.5 years after birth using a locally adapted version of the Bayley Scales of Infant Development (3rd Ed). Maternal CMD symptoms were measured using a locally validated WHO Self-Reporting Questionnaire. A linear mixed-effects regression model was used to analyze the relationship between postnatal CMD and child development.

resultsAfter adjusting for confounders, there was no evidence for an association between postnatal CMD and overall child development or the cognitive sub-domain in the preschool period. There was no evidence of effect modification by levels of social support, socioeconomic status, stunting, or sex of the child.

conclusionsPrevious studies from predominantly urban and peri-urban settings in middle-income countries have established a relationship between maternal CMD and child development, which contrasts with the findings from this study. The risk and protective factors for child development may differ in areas characterized by high social adversity and food insecurity. More studies are needed to investigate maternal CMD's impact on child development in low-resource and rural areas.

Indexed as

Infant, Newborn, DiseasesMental DisordersChildChild DevelopmentChild, PreschoolCohort StudiesEthiopiaFemaleHumansInfantInfant, NewbornMalePregnancyRural Populationchild developmentchild mental healthcohort studypostnatal depressionsub-Saharan Africa

Identifiers

PMID35080279
PMCPMC9305759
OpenAlexW4210552980

What OpenQuestion holds

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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 OpenQuestion graph.