Evidence map›Paper›PMID 40877805›Full record

ArticleBMC pediatrics2025

School dropout among children aged 5-17 in Türkiye and related factors: a logistic regression analysis.

Esra Bayrakçeken, Murat Çinici, Ömer Alkan

Abstract read
In one paragraph

Article in BMC pediatrics, 2025. 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
–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

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.

  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

3 authors.

Esra BayrakçekenDepartment of Medical Services and Techniques, Vocational School of Health Services, Ataturk University, Erzurum, Türkiye.ORCID http://orcid.org/0000-0003-0000-1460
Murat ÇiniciTeacher in Ministry of National Education, Erzurum, Türkiye.ORCID http://orcid.org/0000-0001-6736-0762
Ömer AlkanDepartment of Econometrics, Faculty of Economics and Administrative Sciences, Ataturk University, 2nd Floor, Number: 222, Erzurum, Türkiye, , Ataturk University, 2nd Floor, Number: 222, Erzurum, Türkiye. oalkan@atauni.edu.tr.ORCID http://orcid.org/0000-0002-3814-3539

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSchool dropout remains a significant concern in Türkiye, especially for children aged 5–17. This study aims to identify key factors associated with dropout risk using a nationally representative dataset.

methodsUsing microdata from the 2019 Child Labour Survey conducted by TurkStat, binary logistic regression analysis with sampling weights was performed. Logistic regression, a non-parametric statistical method, is used when the dependent variable is categorical with exactly two outcomes. Average marginal effects were calculated to interpret the influence of independent variables, including demographic, parental, and household characteristics.

resultsThe likelihood of school dropout was higher among girls, older children (ages 15–17), those from large households, working children, and those with caregiving responsibilities. For instance, children working in agriculture were 30.6% more likely to drop out. Conversely, parental employment, maternal education, and participation in household chores reduced dropout probability.

conclusionEffective interventions should promote girls’ education, reduce caregiving responsibilities, and improve economic support for families. Policies must be regionally adapted and culturally sensitive to ensure equal educational opportunities for all children in Türkiye.

Indexed as

Student DropoutsAdolescentChildChild, PreschoolFamily CharacteristicsFemaleHumansLogistic ModelsMaleRisk FactorsSocioeconomic FactorsBinary logistic regressionChildrenSchool dropoutTürkiye

Identifiers

PMID40877805
PMCPMC12392480

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.