Speaker
Description
Aim: The study aims to validate a revised version of the SCRAM questionnaire, called rSCRAM, which incorporates items to measure anxious mood alongside sleep quality, chronotype, and depressive symptomatology. Materials and Methods: Data from 486 Italian participants aged 18 to 77(343 F, Age M = 26.9 ± 10.1) underwent two distinct analyses. In Study 1, a principal component analysis (PCA) was conducted on commonly used anxiety questionnaires to select representative items for inclusion in the rSCRAM. In Study 2, after including the anxiety subscale, a two-step analytical strategy consisting of exploratory factor analysis (EFA) followed by confirmatory factor analysis (CFA) was employed. Results: The EFA revealed a 4-factor model with 16 items, confirming the inclusion of anxious mood alongside sleep, circadian preferences, and depressive symptoms. CFA confirmed this structure with excellent fit indices. The rSCRAM questionnaire demonstrated excellent internal consistency (Cronbach's α values ranging from 0.72 to 0.90), strong test-retest reliability over 2 weeks (r ranging from 0.73 to 0.82), and high correlations for convergent validity, with low correlations for divergent validity. Inclusion of the anxiety scale expands the utility of the instrument in assessing mental health constructs within a single tool. Conclusions: The rSCRAM is a comprehensive tool for assessing sleep quality, chronotype, and depressive and anxious mood, as well as their interrelationships. The inclusion of anxiety scale expands its utility in assessing mental health constructs within a single instrument. The study showed the rSCRAM reliability in measuring sleep quality, circadian phase, as well as depressive and anxious mood.
| If you're submitting a poster, would you be interested in giving a blitz talk? | No |
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| If you're submitting a symposium, or a talk that is part of a symposium, is this a junior symposium? | No |
