Evidence map›Paper›PMID 39903365›Full record

ArticleJournal of immigrant and minority health2025

Evaluation of Mental Health Problems of Syrian People Under Temporary State Protection in Türkiye: The Role of Refugee Health Screener-15.

Fatma Kantaş Yılmaz, Ebru Şal

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Article in Journal of immigrant and minority health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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

2 authors.

Fatma Kantaş YılmazUniversity of Health Sciences, Hamidiye Faculty of Health Sciences, Istanbul, Turkey. fatmakantas.yilmaz@sbu.edu.tr.ORCID http://orcid.org/0000-0003-0512-382X
Ebru ŞalUniversity of Health Sciences, Institute of Hamidiye Health Scince, Istanbul, Turkey.ORCID http://orcid.org/0000-0003-2667-7370

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the Syrian civil war, Türkiye has received more than 3.6 million Syrian people who sought protection and have been provided a temporary state protection status, making the country the largest host country in the world. This study aimed to investigate depression and anxiety levels of Syrian people accommodated in a relatively developed part of a south-eastern city, Şanlıurfa. Adaptation of the Refugee Health Screener (RHS-15) scale, an objectively designed screening tool for prevalent mental disorders among refugees, is another distinctive feature of this investigation. Using a snowball sampling method, 454 Syrian people aged 18 or older were administered four inventories in their Arabic and Turkish, including the Refugee Health Screener-15 (RHS-15), Beck Anxiety Scale (BAI), Beck Depression Inventory-II (BDI), and Post Migration Living Difficulties Checklist (PMLD). Using a path analysis model, the mediating role of the RHS-15 was examined in the effect of the PMLD, which is considered one-dimensional, on the BAI and BDI variables. The study showed low levels of depression (8.51 ± 2.96) and anxiety (7.86 ± 2.43) that corresponded well to low RHS-15 (6.36 ± 2.31) and PMLD (15.64 ± 2.83) scores. In path analysis, the RHS variable has a significant direct effect on the BAI and BDI variables, with an increase in the RHS variable correlated with an increase in the BAI variable and BDI variable, respectively. The RHS-15 scores were significantly higher among married participants, those with poor financial status, those having 3-4 children and those with physical problems. A more reflective population sample would provide better insight into depression and anxiety levels of Syrian people accommodated in Türkiye.

Indexed as

AnxietyDepressionRefugeesAdolescentAdultFemaleHumansMaleMass ScreeningMiddle AgedMiddle Eastern PeoplePsychiatric Status Rating ScalesSyriaTurkeyYoung AdultAnxietyDepressionMental healthRefugee Health Screener RHS-15Syrian seeking protection

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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.