Evidence map›Paper›PMID 34996436›Full record

ArticleBMC women's health2022

Mental health of clinic-attending Syrian refugee women in Jordan: associations between social ecological risks factors and mental health symptoms.

Mohamad Adam Brooks, Melissa Meinhart, Luma Samawi, Trena Mukherjee, Ruba Jaber, Hani Alhomsh, Neeraj Kaushal, Raeda Al Qutob, Maysa' Khadra, Nabila El-Bassel and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC women's health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 5% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 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

11 authors at 2 institutions in 2 countries.

Mohamad Adam BrooksSchool of Social Work, Columbia University, 1255 Amsterdam Ave, New York, NY, 10027, USA. mab2395@columbia.edu.
Melissa MeinhartSchool of Social Work, Columbia University, 1255 Amsterdam Ave, New York, NY, 10027, USA.
Luma SamawiSchool of Social Work, Columbia University, 1255 Amsterdam Ave, New York, NY, 10027, USA.
Trena MukherjeeDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, USA.
Ruba JaberUniversity of Jordan School of Medicine, Amman, Jordan.
Hani AlhomshSchool of Social Work, Columbia University, 1255 Amsterdam Ave, New York, NY, 10027, USA.
Neeraj KaushalSchool of Social Work, Columbia University, 1255 Amsterdam Ave, New York, NY, 10027, USA.
Raeda Al QutobUniversity of Jordan School of Medicine, Amman, Jordan.
Maysa' KhadraUniversity of Jordan School of Medicine, Amman, Jordan.
Nabila El-BasselSchool of Social Work, Columbia University, 1255 Amsterdam Ave, New York, NY, 10027, USA.
Anindita DasguptaSchool of Social Work, Columbia University, 1255 Amsterdam Ave, New York, NY, 10027, USA.
Columbia University · USUniversity of Jordan · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe mental health of refugee women is often affected by multiple risk factors in their social ecology. Assessing these risk factors is foundational in determining potential areas for intervention. We used the social ecological model to examine risk factors associated with self-reported mental health symptoms among clinic-attending Syrian refugee women in Jordan. We hypothesize that individual (older age, unmarried, have more children under 18, difficulty reading/writing with ease), interpersonal (intimate partner violence [IPV]), community and societal level risk factors (greater number of postmigration stressors), will be associated with depression, anxiety, and post-traumatic stress disorder (PTSD) symptoms.

methodsWe surveyed 507 women using a cross-sectional clinic-based systematic sampling approach between April and November 2018. We used multivariable regressions to examine associations between different risk factors in the social ecology on depression, anxiety, and PTSD. Additional multivariable regressions explored associations between specific postmigration stressors and mental health conditions.

resultsWe found rates of depression among our sample to be 62.92%; anxiety 57.46%; and PTSD 66.21%. Our hypothesis was partially supported. At the individual level, age was directly associated with anxiety (aOR 1.04, 95% CI [1.02, 1.06]) and PTSD (aOR 1.03, 95% CI [1.01, 1.06]), while marriage decreased odds for depression (aOR 0.41, 95% CI [0.19, 0.92]) and PTSD (aOR 0.36, 95% CI [0.15, 0.87]). IPV was associated with depression (aOR 2.78, 95% CI [1.72, 4.47]); anxiety (aOR 3.30, 95% CI [2.06, 5.27]); and PTSD (aOR 5.49, 95% CI [3.09, 9.76]). Each additional community and societal risk factor (postmigration stressor) increased the odds for depression (aOR 1.32, 95% CI [1.22, 1.42]), anxiety (aOR 1.28, 95% CI [1.19, 1.39]), and PTSD (aOR 1.46, 95% CI [1.33, 1.60]).

conclusionUnderstanding social ecological risk factors associated with mental health conditions of Syrian refugee women is vital to addressing their mental health needs. IPV and postmigration stressors are consistently impactful with all mental health conditions. IPV resulted in the largest odds increase for all mental health conditions. Multilevel interventions are needed to address mental health risk factors at multiple levels of the social ecology.

Indexed as

RefugeesChildCross-Sectional StudiesDepressionFemaleHumansJordanMental HealthRisk FactorsSyriaAnxietyDepressionJordanMental healthPTSDRefugeeSocial ecologicalSyria

Identifiers

PMID34996436
PMCPMC8742365
OpenAlexW4206628985

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.