Evidence map›Paper›PMID 42114872›Full record

Observational studyBMJ open2026

Predicting depressive and anxiety symptoms among Lebanese and Syrian adults in a suburb of Beirut, Lebanon, during concurrent crises: nested cross-sectional study.

Hazar Shamas, Marie-Elizabeth Ragi, Berthe Abi Zeid, Jocelyn DeJong, Stephen J McCall, CAEP Study Group

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–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

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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

1 citing paper in PubMed.

  1. Article
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.

Hazar ShamasCenter for Research on Population and Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon.ORCID http://orcid.org/0009-0006-9929-2171
Marie-Elizabeth RagiCenter for Research on Population and Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon.
Berthe Abi ZeidCenter for Research on Population and Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon.
Jocelyn DeJongDepartment of Epidemiology and Population Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon.ORCID http://orcid.org/0000-0001-7262-9033
Stephen J McCallCenter for Research on Population and Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon sm227@aub.edu.lb.ORCID http://orcid.org/0000-0003-0078-7010
CAEP Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to develop prediction models for symptoms of poor mental health among Lebanese adults and adult Syrian refugees or migrants residing in a suburb of Beirut, Lebanon, separately.

designNested cross-sectional study.

settingSin-El-Fil, a suburb east of Beirut, Lebanon.

participantsLebanese and Syrian adults residing in low socio-economic status areas of Sin-El-Fil. PRIMARY AND SECONDARY OUTCOME MEASURES: Primary outcome was having depressive symptoms, ascertained through the Patient Health Questionnaire-9 where a total summative score of 10 or more indicated having depressive symptoms. Secondary outcome was having anxiety symptoms, ascertained through the Generalised Anxiety Disorder-7 where a total summative score of 10 or more indicated having anxiety symptoms.

resultsOf 1986 participants, 1322 (66.5%) were Lebanese adults, 664 (33.5%) were Syrian refugees or migrants. Among Lebanese adults and adult Syrian refugees or migrants, 324 (25.3%) and 289 (43.9%) had depressive symptoms, respectively. Having pain that impacts usual activity, having debt, not feeling safe at home and having none or one person to count on in difficult times were common predictors of depressive and anxiety symptoms among Lebanese adults and Syrian refugees or migrants. Not having a legal residency permit was also a predictor of depressive symptoms for Syrian refugees or migrants. Prediction models developed for depressive and anxiety symptoms among both nationalities had good performance measures.

conclusionsThe predictors of poor mental health included financial, health and social indicators for both Lebanese adults and Syrian refugees or migrants during the concurrent crisis in Lebanon. These models are most applicable in similar urban, crisis-affected and low-resource settings. Findings emphasise the need for social protection and financial support among populations with vulnerabilities.

Indexed as

AnxietyDepressionMiddle Eastern PeopleRefugeesTransients and MigrantsAdultCross-Sectional StudiesFemaleGeneralized Anxiety DisorderHumansLebanonMaleMiddle AgedSyriaYoung AdultAnxiety disordersDepression & mood disordersEpidemiologyMachine LearningRefugees

Identifiers

PMID42114872
PMCPMC13182334

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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.