Evidence map›Paper›PMID 36511374›Full record

ArticleJournal of research in health sciences2022

Risk-Taking Behaviors Considering Internet Gaming Disorder among Iranian University Students: A Latent Class Analysis.

Faeze Ghasemi Seproo, Leila Janani, Seyed Abbas Motevalian, Abbas Abbasi-Ghahramanloo, Hamed Fattahi, Shahnaz Rimaz

Abstract read
In one paragraph

Article in Journal of research in health sciences, 2022. 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

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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.

Faeze Ghasemi SeprooDepartment of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
Leila JananiDepartment of Biostatistics, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
Seyed Abbas MotevalianResearch Center for Addiction and Risky Behaviors (ReCARB), Psychosocial Health Research Institute (PHRI), Iran University of Medical Sciences, Tehran, Iran.
Abbas Abbasi-GhahramanlooDepartment of Public Health, School of Health, Ardabil University of Medical Sciences, Ardabil, Iran.
Hamed FattahiCenter for Primary Health Care Network Management, Deputy for Public Health, Iranian Ministry of Health and Medical Education, Tehran, Iran.
Shahnaz RimazRadiation Biology Research Center, Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDangerous behaviors adversely affect the health of adolescents and young adults. This study aimed to identify the subgroups of college students based on the parameters of risky behavior and analyze the impact of demographic factors and internet gaming disorder (IGD) belonging to each class. STUDY

designA cross-sectional study.

methodsThe study was conducted on 1355 students through a multi-stage random sampling method in 2020. A survey questionnaire was used to collect data, and all students completed 1294 sets of questionnaires. The data were analyzed using t test and latent class analysis (LCA) through SPSS and PROC LCA in SAS 9.2 software.

resultsThree latent classes have been identified as low-risk (75%), tobacco smoker (8%), and high-risk (17%). There was a high possibility of risky behavior in the third class. Marital status (being single) (OR = 2.28, 95% CI: 1.19-4.37), unemployment (having no job) along with education (OR = 1.56, 95% CI: 1.04-2.33), and IGD (OR = 1.06, 95% CI: 1.04-1.09) increased the risk of inclusion in the tobacco smoker class. Moreover, unemployment (having no job) along with education (OR = 1.43, 95% CI: 1.11-1.84) increased the chance of being in the high-risk class.

conclusionAccording to the findings of this study, 25% of the students were tobacco smokers or were in the high-risk class. The results of this study may help develop and evaluate preventive strategies that simultaneously take into account different behaviors.

Indexed as

Behavior, AddictiveInternet Addiction DisorderAdolescentCross-Sectional StudiesHumansInternetIranLatent Class AnalysisRisk-TakingYoung AdultInternet gaming disorderLatent class analysisRisk-taking behaviorsUniversity students

Identifiers

PMID36511374
PMCPMC10422155

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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.