PSQI Trail Data
Version 1

BACKGROUND: The Pittsburgh Sleep Quality Index (PSQI) is frequently used to assess sleep problems in patients. The aim of this study was to provide reference values for this questionnaire, to test psychometric properties, and to analyze associations with psychological, sociodemographic, and behavioral factors. METHODS: A German community sample comprising 9284 adult residents (aged 18-80 years) was surveyed using the PSQI and several other questionnaires. RESULTS: According to the generally accepted cut-off (PSQI > 5), 36% of the general population slept badly. Females reported significantly more sleep problems than males (mean scores: M = 5.5 vs. M = 4.4, respectively; effect size d = 0.35), but there was no linear association between age and sleep quality. Sleep problems were correlated with fatigue, quality of life (physical as well as mental), physical complaints, anxiety, and lack of optimism. Sleep quality was also strongly associated with socioeconomic status, professional situation (poorest sleep quality in unemployed people), and obesity. In addition to the results of the PSQI total score, mean scores of specific components of sleep quality were presented (sleep latency, sleep duration, and use of sleep medication). CONCLUSION: The PSQI proved to be a suitable instrument for measuring sleep quality. Gender differences, psychological factors, and obesity should be taken into account when groups of patients are compared with respect to sleep problems.

LHA ID: 7YPWAH1G7W-3

Filename: PSQI_Atlas_s.xlsx  Download

Format: Spreadsheet

Size: 1.57 MB

Data file type: Not specified

Human Diseases: No Human Disease specified




help Creators and Submitter
Creator
Submitter
Activity

Views: 3614   Downloads: 182

Created: 4th Nov 2019 at 12:38

Last updated: 28th Jan 2022 at 15:21

Last used: 21st Dec 2024 at 15:22

help Tags

This item has not yet been tagged.

help Attributions

None

Version History

Version 1 Created 4th Nov 2019 at 12:38 by René Hänsel

No revision comments

Powered by
(v.1.13.0-master)
Copyright © 2008 - 2021 The University of Manchester and HITS gGmbH
Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig

By continuing to use this site you agree to the use of cookies