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Sleep quality, the neglected outcome variable in clinical studies focusing on locomotor system; a construct validation study

BACKGROUND: In addition to general health and pain, sleep is highly relevant to judging the well-being of an individual. Of these three important outcome variables, however, sleep is neglected in most outcome studies. Sleep is a very important resource for recovery from daily stresses and strains, a...

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Autores principales: Aghayev, Emin, Sprott, Haiko, Bohler, Dieter, Röder, Christoph, Müller, Urs
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3161400/
https://www.ncbi.nlm.nih.gov/pubmed/20920152
http://dx.doi.org/10.1186/1471-2474-11-224
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author Aghayev, Emin
Sprott, Haiko
Bohler, Dieter
Röder, Christoph
Müller, Urs
author_facet Aghayev, Emin
Sprott, Haiko
Bohler, Dieter
Röder, Christoph
Müller, Urs
author_sort Aghayev, Emin
collection PubMed
description BACKGROUND: In addition to general health and pain, sleep is highly relevant to judging the well-being of an individual. Of these three important outcome variables, however, sleep is neglected in most outcome studies. Sleep is a very important resource for recovery from daily stresses and strains, and any alteration of sleep will likely affect mental and physical health, especially during disease. Sleep assessment therefore should be standard in all population-based or clinical studies focusing on the locomotor system. Yet current sleep assessment tools are either too long or too specific for general use. METHODS: Based on a literature review and subsequent patient-based rating of items, an expert panel designed a four-item questionnaire about sleep. Construct validation of the questionnaire in a random sample of the German-speaking Swiss population was performed in 2003. Reliability, correlation, and tests for internal consistency and validity were analyzed. RESULTS: Overall, 16,634 (70%) out of 23,763 eligible individuals participated in the study. Test-retest reliability coefficients ranged from 0.72 to 0.87, and a Cronbach's alpha of 0.83 indicates good internal consistency. Results show a moderate to good correlation between sleep disturbances and health perception, and between sleep disturbances and overall pain. CONCLUSIONS: The Sleep Standard Evaluation Questionnaire (SEQ-Sleep) is a reliable and short tool with confirmed construct validity for sleep assessment in population-based observational studies. It is easy to administer and therefore suitable for postal surveys of the general population. Criterion validity remains to be determined.
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spelling pubmed-31614002011-08-26 Sleep quality, the neglected outcome variable in clinical studies focusing on locomotor system; a construct validation study Aghayev, Emin Sprott, Haiko Bohler, Dieter Röder, Christoph Müller, Urs BMC Musculoskelet Disord Research Article BACKGROUND: In addition to general health and pain, sleep is highly relevant to judging the well-being of an individual. Of these three important outcome variables, however, sleep is neglected in most outcome studies. Sleep is a very important resource for recovery from daily stresses and strains, and any alteration of sleep will likely affect mental and physical health, especially during disease. Sleep assessment therefore should be standard in all population-based or clinical studies focusing on the locomotor system. Yet current sleep assessment tools are either too long or too specific for general use. METHODS: Based on a literature review and subsequent patient-based rating of items, an expert panel designed a four-item questionnaire about sleep. Construct validation of the questionnaire in a random sample of the German-speaking Swiss population was performed in 2003. Reliability, correlation, and tests for internal consistency and validity were analyzed. RESULTS: Overall, 16,634 (70%) out of 23,763 eligible individuals participated in the study. Test-retest reliability coefficients ranged from 0.72 to 0.87, and a Cronbach's alpha of 0.83 indicates good internal consistency. Results show a moderate to good correlation between sleep disturbances and health perception, and between sleep disturbances and overall pain. CONCLUSIONS: The Sleep Standard Evaluation Questionnaire (SEQ-Sleep) is a reliable and short tool with confirmed construct validity for sleep assessment in population-based observational studies. It is easy to administer and therefore suitable for postal surveys of the general population. Criterion validity remains to be determined. BioMed Central 2010-09-28 /pmc/articles/PMC3161400/ /pubmed/20920152 http://dx.doi.org/10.1186/1471-2474-11-224 Text en Copyright ©2010 Aghayev et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Aghayev, Emin
Sprott, Haiko
Bohler, Dieter
Röder, Christoph
Müller, Urs
Sleep quality, the neglected outcome variable in clinical studies focusing on locomotor system; a construct validation study
title Sleep quality, the neglected outcome variable in clinical studies focusing on locomotor system; a construct validation study
title_full Sleep quality, the neglected outcome variable in clinical studies focusing on locomotor system; a construct validation study
title_fullStr Sleep quality, the neglected outcome variable in clinical studies focusing on locomotor system; a construct validation study
title_full_unstemmed Sleep quality, the neglected outcome variable in clinical studies focusing on locomotor system; a construct validation study
title_short Sleep quality, the neglected outcome variable in clinical studies focusing on locomotor system; a construct validation study
title_sort sleep quality, the neglected outcome variable in clinical studies focusing on locomotor system; a construct validation study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3161400/
https://www.ncbi.nlm.nih.gov/pubmed/20920152
http://dx.doi.org/10.1186/1471-2474-11-224
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