Validating an Arabic translation of the Sleep, Circadian Rhythms, and Mood (SCRAM) questionnaire

This study translated the Sleep, Circadian Rhythms, and Mood (SCRAM) questionnaire into Arabic and evaluated the psychometric properties and conceptual validity of the Arabic version. This process involved forward translation, back-translation, research team review, and pretesting of the Arabic SCRAM. A sample of 649 adults completed the Arabic SCRAM along with validation measures of sleep disturbances (Jenkins Sleep Scale: JSS) and depression severity (Patient Health Questionnaire: PHQ-9). Psychometric analyses included descriptive statistics, reliability analysis, test re-test, confirmatory factor analysis, and tests of convergent validity. The sample (77% female, mean age 26.31 years, range 18-47 years) demonstrated normal score distributions and adequate reliability on the Arabic SCRAM subscales. A three-factor structure was confirmed, aligning with the original English version. The Good Sleep and Depressed Mood subscales showed good convergence with the JSS and PHQ-9 scores, respectively. The Morningness subscale was not tested in the present research for convergent validity against other measures. The results provide preliminary support for a three-factor structure of the Arabic version of the SCRAM, with improved reliability indices (McDonald's <i>ω</i> ≈ 0.70) after removing three culturally non-optimal items; further validation is recommended before confirming these modifications.

Authors

Institutions

Publication Details

Journal
Chronobiology International
Published
2025-05-28
DOI
https://doi.org/10.1080/07420528.2025.2510501
Primary Topic
Sleep and related disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Validating an Arabic translation of the Sleep, Circadian Rhythms, and Mood (SCRAM) questionnaire

Jamie E. M. Byrne, Michael V. Vitiello, Khaled Trabelsi, Hadeel Ghazzawi et al.
Chronobiology International
Sleep and related disorders
article

Validating an Arabic translation of the Sleep, Circadian Rhythms, and Mood (SCRAM) questionnaire

Jamie E. M. Byrne, Michael V. Vitiello, Khaled Trabelsi, Hadeel Ghazzawi, Haitham Jahrami, Achraf Ammar, Yasmin AlMashouk, Abdulmajeed Abdullah Alghamdi, Ameena Duaij Albinjasim, Hessa Abdulla Bugahoos
article en

Abstract

This study translated the Sleep, Circadian Rhythms, and Mood (SCRAM) questionnaire into Arabic and evaluated the psychometric properties and conceptual validity of the Arabic version. This process involved forward translation, back-translation, research team review, and pretesting of the Arabic SCRAM. A sample of 649 adults completed the Arabic SCRAM along with validation measures of sleep disturbances (Jenkins Sleep Scale: JSS) and depression severity (Patient Health Questionnaire: PHQ-9). Psychometric analyses included descriptive statistics, reliability analysis, test re-test, confirmatory factor analysis, and tests of convergent validity. The sample (77% female, mean age 26.31 years, range 18-47 years) demonstrated normal score distributions and adequate reliability on the Arabic SCRAM subscales. A three-factor structure was confirmed, aligning with the original English version. The Good Sleep and Depressed Mood subscales showed good convergence with the JSS and PHQ-9 scores, respectively. The Morningness subscale was not tested in the present research for convergent validity against other measures. The results provide preliminary support for a three-factor structure of the Arabic version of the SCRAM, with improved reliability indices (McDonald's <i>ω</i> ≈ 0.70) after removing three culturally non-optimal items; further validation is recommended before confirming these modifications.

Chronobiology InternationalVol. 42(6)
University of Jordan (JO), University of Sfax (TN), Deakin University (AU), Johannes Gutenberg University Mainz (DE), University of Washington (US), Institut Supérieur du Sport et de l’Éducation Physique de Sfax (TN), Arabian Gulf University (BH)
Quality Education
Openalex Percentile: Top 88%
Sleep and related disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.