Evidence map›Paper›PMID 32295545›Full record

ArticleBMC psychiatry2020

Prevalence and determinants of perinatal depression among labour migrant and refugee women on the Thai-Myanmar border: a cohort study.

Gracia Fellmeth, Emma Plugge, Mina Fazel, May May Oo, Mupawjay Pimanpanarak, Yuwapha Phichitpadungtham, Kerry Wai, Prakaykaew Charunwatthana, Julie A Simpson, François Nosten and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 3 pooled it
4.0field-weighted citation impact, top 6% 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

24 citing papers in PubMed, 3 syntheses or guidelines pooled it, 34 citations in OpenAlex.

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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

12 authors at 6 institutions in 3 countries.

Gracia FellmethNuffield Department of Population Health, University of Oxford, L0/14, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK. gracia.fellmeth@ndph.ox.ac.uk.
Emma PluggeHealth and Justice Team, Health Improvement Directorate, Public Health England, 60 Caversham Road, London, Reading, RG1 7EB, UK.
Mina FazelDepartment of Psychiatry, University of Oxford, Warneford Hospital, Oxford, OX3 7JX, UK.
May May OoShoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, 68/30 Bantung Road, Mae Sot, Tak, 63110, Thailand.
Mupawjay PimanpanarakShoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, 68/30 Bantung Road, Mae Sot, Tak, 63110, Thailand.
Yuwapha PhichitpadungthamShoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, 68/30 Bantung Road, Mae Sot, Tak, 63110, Thailand.
Kerry WaiShoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, 68/30 Bantung Road, Mae Sot, Tak, 63110, Thailand.
Prakaykaew CharunwatthanaFaculty of Tropical Medicine, Mahidol University, 420/6 Ratchawithi Road, Bangkok, 10400, Thailand.
Julie A SimpsonCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia.
François NostenShoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, 68/30 Bantung Road, Mae Sot, Tak, 63110, Thailand.
Raymond FitzpatrickNuffield Department of Population Health, University of Oxford, L0/14, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK.
Rose McGreadyShoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, 68/30 Bantung Road, Mae Sot, Tak, 63110, Thailand.
Mahidol Oxford Tropical Medicine Research Unit · THUniversity of Oxford · GBMahidol University · THPublic Health England · GBShoklo Malaria Research Unit · THUniversity of Melbourne · AU

Funding

Wellcome Trust 106698
6 · The paper itself

Abstract

backgroundPerinatal depression is a significant contributor to maternal morbidity and mortality globally. Migrant women, particularly those living in low- and middle-income settings, represent a particularly vulnerable group due to stressors experienced before, during and after migration. The vast majority of global migration flows occurring within and between low- and middle-income regions, yet existing evidence focuses predominantly on migrants in high-income destinations. This study aimed to redress this significant gap in the evidence by determining the prevalence and determinants of perinatal depression among migrant women on the Thai-Myanmar border.

methodsA cohort of labour migrant and refugee women was followed-up from the first trimester of pregnancy to one month post-partum. Depression status was assessed in the first, second and third trimesters of pregnancy and at one month post-partum using the Structured Clinical Interview for the Diagnosis of DSM-IV Disorders. Women diagnosed with depression had immediate access to care. Data on potential demographic, social and clinical associated factors was collected using a questionnaire. Prevalence and incidence of any depressive disorder and moderate-severe depressive disorder was calculated. Univariable and multivariable logistic regression using complete case analysis was used to estimate odds ratios (OR) of association between exposure variables and depression status.

resultsFive hundred sixty-eight women participated. Period prevalence (from first trimester of pregnancy to one month post-partum) of moderate-severe perinatal depression was 18.5% (95% CI 15.4-21.9%). Overall, 15.4% (95% CI 11.8-19.6%) of women developed new-onset moderate-severe depression during the study period. Forty-two participants received treatment for depression. Risk factors were interpersonal violence (OR 4.5; 95% CI 1.9-11.1); history of trauma (OR 2.4; 95% CI 1.4-4.3); self-reported history of depression (OR 2.3; 95% CI 1.2-4.2); labour migrant status (OR 2.1; 95% CI 1.1-4.0); low social support (OR 2.1; 95% CI 1.1-3.7); and maternal age (OR 1.1 per year; 95% CI 1.0-1.1). Limitations of the study include that culturally specific manifestations of depression may have been missed.

conclusionsPerinatal depression represents a significant burden among migrant women on the Thai-Myanmar border. Programmes to address the determinants along with early case identification and effective treatment and referral systems are key to addressing perinatal depression in this low-resource setting.

Indexed as

Depressive DisorderRefugeesTransients and MigrantsCohort StudiesDepressionFemaleHumansMyanmarPregnancyPrevalenceThailandDepressionLow- and middle-incomeMigrantPerinatalRefugee

Identifiers

PMID32295545
PMCPMC7161117
OpenAlexW3016907608

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.