Search results
The Pittsburgh Sleep Quality Index (PSQI) is a widely used self-report questionnaire that assesses sleep quality over a one-month time interval. The measure was developed by Dr. Daniel Buysse, Dr. Charles Reynolds, Dr. Timothy Monk, Dr. Susan Berman, and Dr. David Kupfer at the University of Pittsburgh.
BEST TOOL: The Pittsburgh Sleep Quality Index (PSQI) is an effective instrument used to measure the quality and patterns of sleep in the older adult. It differentiates “poor” from “good” sleep by measuring seven domains: subjective sleep quality, sleep latency, sleep duration,
Each of the questionnaire’s 19 self-reported items belongs to one of seven subcategories: subjective sleep quality, sleep latency, sleep duration, habitual sleep effi ciency, sleep disturbances, use of sleeping medication, and daytime dysfunction.
The Pittsburgh Sleep Quality Index (PSQI) is a self-rated questionnaire which assesses sleep quality and disturbances over a 1-month time interval. Nineteen individual items generate seven "component" scores: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping medication, and ...
The Pittsburgh Sleep Quality Index (PSQI) is a self-report questionnaire that assesses sleep quality over a 1-month time interval. The measure consists of 19 individual items, creating 7 components that produce one global score, and takes 5–10 minutes to complete. [1]
- To provide a reliable, valid, and standardized measure of sleep quality - To discriminate between "good" and "poor" sleepers - To provide an index that is easy for subjects to use and for clinicians and researchers to interpret - To provide a brief, clinically useful assessment of a variety of sleep disturbances that might affect sleep quality.
The Pittsburgh Sleep Quality Index (PSQI) is a widely used self-report questionnaire that measures general sleep quality in general populations. However, its psychometric properties have yet to be thoroughly examined in longevous persons.