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Sleep self-report measures: a literature review

Published online by Cambridge University Press:  18 May 2011

Monica Martoni  and
Manuela Biagi
Monica Martoni*
Affiliation:
Servizio per la Valutazione e il Trattamento Comportamentale dei Disturbi del Sonno Dipartimento di Psicologia, Università di Bologna, Bologna
Manuela Biagi
Affiliation:
Servizio per la Valutazione e il Trattamento Comportamentale dei Disturbi del Sonno Dipartimento di Psicologia, Università di Bologna, Bologna
*
Address for correspondence: Dr. M. Martoni, Dipartimento di Psicologia, Università di Bologna, Viale Belli Pichat 5, 40127 Bologna (Italy). Fax: +39-051-243.086 E-mail: monica.martoni@unibo.it
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Summary

Aim – The widespread diffusion of sleep disorders (in particular, insomnia) in the general population and the presence of sleep complaints in many mental disorders and physical illnesses justifies an interest in their assessment and treatment, still today commonly underestimated. This study aims to describe the inexpensive and relatively easy-to-use self-report measures of sleep available in literature. Method – A literature search was conducted throughout the electronic literature database “Pubmed”, selecting the pertinent articles published up to December 2006. Results – The recovered material takes the following fields into account: aspect of sleep measured, statistical population, structure, time frame, sub-scales and psychometric properties. International literature presents somewhat heterogeneous sleep self-evaluation tools, which mainly measure sleep quality and the specific causes of sleep interference. As for the Italian context, the recovered material is somewhat modest, taking into account the number of publications. Conclusions – the critical points met in this review have led us to underline the characteristics of a hypothetical tool for sleep assessment to include in routine diagnoses.

Declaration of Interest: The authors have received no fees or other financial support potentially in conflict of interest with this scientific work.

Keywords

sleepsleep disordersevaluationself-report measures
Type
Original Articles
Information
Epidemiology and Psychiatric Sciences , Volume 16 , Issue 4 , December 2007 , pp. 316 - 329
Copyright
Copyright © Cambridge University Press 2007

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