Arabic validation of the hopkins symptom checklist-25 (HSCL) in a Lebanese sample of adults and older adults

dc.contributor.authorFares, Souha A.
dc.contributor.authorDirani, Julien
dc.contributor.authorDarwish, Hala
dc.contributor.departmentHSON
dc.contributor.facultyRafic Hariri School of Nursing (HSON)
dc.contributor.institutionAmerican University of Beirut
dc.date.accessioned2025-01-24T12:22:05Z
dc.date.available2025-01-24T12:22:05Z
dc.date.issued2021
dc.description.abstractScreening for anxiety and depression is essential for treatment. Participants aged 30 years and above (n = 290) were screened for anxiety and depression using the HSCL-25-Arabic in Lebanon. Confirmatory factor analysis was used to determine the best fit of the data. Five models were tested: (1) the tripartite model including five correlated factors: two related to anxiety, two to depression and a mixed factor describing general distress, (2) the tripartite model considering no correlation between anxiety and depression, (3) the original two-factor model assuming an association between depression and anxiety; (4) the two-factor model considering no correlation between factors; (5) the bifactor model including anxiety and depression, and a general factor underlying all items assuming no association between the three. The bi-factor model showed the best fit followed by the two-factor model. The HSCL-25-Arabic discerns symptoms of anxiety and depression as distinct with a general factor underlying all items. © 2019, Springer Science+Business Media, LLC, part of Springer Nature.
dc.identifier.doihttps://doi.org/10.1007/s12144-019-00240-x
dc.identifier.eid2-s2.0-85065184097
dc.identifier.urihttp://hdl.handle.net/10938/34635
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofCurrent Psychology
dc.sourceScopus
dc.subjectAnxiety
dc.subjectDepression
dc.subjectFactor analysis
dc.subjectLebanon
dc.subjectMental health
dc.titleArabic validation of the hopkins symptom checklist-25 (HSCL) in a Lebanese sample of adults and older adults
dc.typeArticle

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