Psychometric Validation of the Persian DSM-5 Self-Rated Level 1 Cross-Cutting Symptom Measure in Iranian Adolescents Aged 11–17 Years

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Abstract

Background and Objectives: Early assessment and intervention in adolescent mental health are essential for improving developmental outcomes. This study examined the psychometric properties of the Persian version of the DSM-5 Self-Rated Level 1 Cross-Cutting Symptom Measure among students aged 11–17 in Ilam, Iran. Methods: A cross-sectional study was carried out in 2024 involving 350 students from schools in Ilam, Iran. The validation process included translation, content and face validity assessments, reliability testing (internal consistency and test-retest), and confirmatory factor analysis (CFA). Results: The average age of participants was 14.23 years (SD = 0.75), with 91.34% from urban areas and 8.57% from rural areas. The overall agreement rates for item relevance and clarity were 96.6% and 94.4%, respectively. Cronbach’s alpha coefficients and intraclass correlation coefficients (ICC) for all domains exceeded 0.80, indicating strong internal consistency and reliability. CFA supported the construct validity of the instrument with satisfactory factor loadings. Conclusion: The Persian DSM-5 Level 1 Cross-Cutting Measure demonstrates strong psychometric properties for identifying mental health issues in Iranian adolescents, supporting its use in school screening programs.

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