Evidence map›Paper›PMID 39051036›Full record

ArticleAddiction & health2024

A Study of the Psychometric Properties of the Persian Version of the Online Gambling Symptom Assessment Scale in the Iranian Population.

Mohammadreza Davoudi, Tayebeh Azarmehr, Fatemeh Abdoli, AmirHossein Sadeghi, Sarah Salehi Inanloo, Fereshte Momeni, Zahra Khalili, Sahar Aliyaki

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Article in Addiction & health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Mohammadreza DavoudiDepartment of Clinical Psychology, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-8283-1814
Tayebeh AzarmehrOperating Room Instructor, Faculty of Paramedicine, Zabul University of Medical Sciences, Zabol, Iran.ORCID https://orcid.org/0000-0002-8413-1504
Fatemeh AbdoliDepartment of Clinical Psychology, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0001-6095-0647
AmirHossein SadeghiDepartment of Clinical Psychology, Iran University Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-1834-363X
Sarah Salehi InanlooDepartment of Clinical Psychology, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.ORCID https://orcid.org/0009-0008-8444-8916
Fereshte MomeniDepartment of Clinical Psychology, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0003-1606-8387
Zahra KhaliliDepartment of Clinical Psychology, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.ORCID https://orcid.org/0009-0007-8406-3613
Sahar AliyakiDepartment of Clinical Psychology, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-0601-2761

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The primary objective of the current paper was to assess the psychometric attributes of the Persian version of the Online Gambling Symptom Assessment Scale (P-OGSAS) within the Iranian population. Methods: The current study was conducted through a convenient sampling method between September and November 2021, involving 187 participants who had experienced online gambling at least once a month for the last 3 months. OGSAS was translated from English into Persian using the forward-backward translation method. Cronbach's alpha coefficient and principal component analysis (PCA) were employed to evaluate the reliability and validity of the scale, respectively. Participants were administered a battery of assessments, including P-OGSAS, Persian Gambling Disorder Screening Questionnaire (GDSQ-P), Patient Health Questionnaire-9 Items (PHQ-9), and Generalized Anxiety Disorder Questionnaire (GADQ-7), to assess validity and reliability. Findings: The results showed that the 3-factor model of this scale provides the highest level of predictability. The 3-factor model accounts for 54.8% of the square load. With a Cronbach's alpha coefficient of 0.807, P-OGSAS demonstrated satisfactory reliability. Finally, OGSAS has a significant correlation with other scales, and as a result, this scale has suitable convergent validity. Conclusion: P-OGSAS can adequately assess the symptoms and severity of online gambling. Therefore, clinicians could use this scale to evaluate the problems related to online gambling in the Iranian population.

Indexed as

AddictionGamblingInternet addictionPsychometric properties

Identifiers

PMID39051036
PMCPMC11264477

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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.