Evidence map›Paper›PMID 35974984›Full record

ArticleAnnals of global health2022

Factors Associated with Self-Reported Chronic Diseases of Syrian Refugees in Turkey.

Mehmet Balcilar, Canan Gulcan

Open access · goldAbstract read
In one paragraph

Article in Annals of global health, 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
0.8field-weighted citation impact, top 28% 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, 5 citations in OpenAlex.

  1. Article
  2. 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 at 1 institution in 2 countries.

Mehmet BalcilarDepartment of Economics, Faculty of Business and Economics, Eastern Mediterranean University, Famagusta, TRNC, via Mersin 10, Turkey.ORCID 0000-0001-9694-5196
Canan GulcanDepartment of Economics, Faculty of Business and Economics, Eastern Mediterranean University, Famagusta, TRNC, via Mersin 10, Turkey.ORCID 0000-0002-2251-3750
Eastern Mediterranean University · CY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Syria's civil conflict, which began in 2011, led millions of Syrians to migrate to countries all over the world, including Turkey. Considering the fact that war-caused migrations may affect the citizens of the host countries and immigrants from diverse perspectives, It is important to make scientific research on the outcomes of migration after the Syrian civil war. Objective: This paper investigates the relationship between chronic diseases, such as, cardiac disease, diabetes, and hypertension, and covariates, including socioeconomic status, war-related conditions, risky health behaviours, health services use, and health literacy, using survey data on 7 202 Syrian refugees from 4 068 households living out of camp settlements in Turkey. Methods: Logistic regressions were employed to examine the relationship between the chronic diseases and covariates, which include socioeconomic status, war-related conditions, risky health behaviours, health services use, and health literacy. Findings: The results reveal that pre-migration income, health behaviours, such as, tobacco consumption, body mass index, daily activity, health-care use, and health literacy are the most important factors for one or more chronic diseases. Conclusion: Considering the effects of risk factors on chronic diseases among Syrian refugees, it is critical to take preventive steps for negative outcomes.

Indexed as

RefugeesChronic DiseaseHumansSelf ReportSyriaTurkeychronic diseaseshealth behaviourshealth literacylogit regressionSyrian refugees

Identifiers

PMID35974984
PMCPMC9336782
OpenAlexW4288071956

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.