Behavioral sleep medicine · 2026
Measuring What Matters in Sleep: Development and Validation of the Sleep Health Dimensions Questionnaire.
СтатьяНазвание и аннотация: Перевод в очереди
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Meneo Debora, Curati Sara, Cerolini Silvia, Baldi Elisabetta, Baglioni Chiara
Аннотация
OBJECTIVE: Sleep health is a multifaceted concept encompassing six core dimensions: satisfaction, alertness, timing, regularity, efficiency, and duration. Individual and age-related differences in sleep health are associated with both mental and physical health. Comprehensive measures are needed to evaluate these differences and tailor treatment and preventive approaches.
METHODS: The present study developed and validated the Sleep Health Dimensions Questionnaire (SHDQ), a multidimensional measure of sleep health inadults. 1273 college students filled out the SHDQ and measures of insomnia, depression, anxiety, emotion regulation, and health-related quality of life. We evaluated the reliability, validity and factor structure of the questionnaire.
RESULTS: The SHDQ demonstrated strong psychometric properties, including internal consistency (Cronbach's α = 0.80), item-to-total correlations (r > 0.30), and convergent and divergent validity. The SHDQ effectively discriminated clinically relevant insomnia cases. The SEM model showed a good fit, indicating that the dimensions of sleep health are effective indicators of a main latent variable (multi-dimensional sleep health).
CONCLUSIONS: The SHDQ comprehensively evaluates sleep health dimensions. As a research tool, it is useful for exploring the relationship between sleep health and mental and physical health across various adult populations.
METHODS: The present study developed and validated the Sleep Health Dimensions Questionnaire (SHDQ), a multidimensional measure of sleep health inadults. 1273 college students filled out the SHDQ and measures of insomnia, depression, anxiety, emotion regulation, and health-related quality of life. We evaluated the reliability, validity and factor structure of the questionnaire.
RESULTS: The SHDQ demonstrated strong psychometric properties, including internal consistency (Cronbach's α = 0.80), item-to-total correlations (r > 0.30), and convergent and divergent validity. The SHDQ effectively discriminated clinically relevant insomnia cases. The SEM model showed a good fit, indicating that the dimensions of sleep health are effective indicators of a main latent variable (multi-dimensional sleep health).
CONCLUSIONS: The SHDQ comprehensively evaluates sleep health dimensions. As a research tool, it is useful for exploring the relationship between sleep health and mental and physical health across various adult populations.