Evidence map›Paper›PMID 40728712›Full record

ArticleJournal of gambling studies2026

Exploring the Intersection of Tobacco, Alcohol, and Gambling for Türkiye.

Kübranur Çebi Karaaslan, Esma Kesriklioğlu

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of gambling studies, 2026. 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

2 authors.

Kübranur Çebi KaraaslanDepartment of Econometrics, Faculty of Economics and Administrative Sciences, Erzurum Technical University, Erzurum, Turkey.ORCID http://orcid.org/0000-0001-9288-017X
Esma KesriklioğluDepartment of Econometrics, Faculty of Economics and Administrative Sciences, Atatürk University, Erzurum, Turkey. esmakesriklioglu@hotmail.com.ORCID http://orcid.org/0000-0001-6916-8643

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In literature, there is a lack of multidimensional analyses that examine the co-occurrence of multiple addiction-related behaviors within households. This study aims to fill that gap by identifying the demographic and socioeconomic factors associated with Turkish households in which tobacco use, alcohol consumption, and gambling occur simultaneously, thereby contributing both to academic understanding and to informed policymaking. The study utilizes micro data from the Household Budget Survey conducted by the Turkish Statistical Institute between 2015 and 2019. The probabilities of households engaging in tobacco use, alcohol consumption and gambling behaviors are estimated simultaneously with the Multivariate Probit Model, which also considers correlations among unobservable factors. It has been determined that demographic and socioeconomic factors have separate significant effects on harmful habits. By focusing on the social and cultural dynamics in Türkiye, this study provides insights into harmful habits in households, contains guiding results especially for developing local policies. It has been identified that in Türkiye, deterrent policies for tobacco use should prioritize targeting young, low-educated, high-income males; for alcohol consumption, the focus should be on middle-aged, highly educated, high-income, single males; and for gambling, priority should be given to unemployed, middle-aged, highly educated, high-income, single males.

Indexed as

Alcohol DrinkingGamblingTobacco UseAdolescentAdultFemaleHumansMaleMiddle AgedSocioeconomic FactorsTurkeyYoung AdultAlcohol consumptionGamblingHarmful habitsMvprobitTobacco products consumption

Identifiers

What OpenQuestion holds

Textmetadata
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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.