ASSESSMENT OF THE VALIDITY AND UTILITY OF A SLEEP-SYMPTOM QUESTIONNAIRE

Citation
K. Kump et al., ASSESSMENT OF THE VALIDITY AND UTILITY OF A SLEEP-SYMPTOM QUESTIONNAIRE, American journal of respiratory and critical care medicine, 150(3), 1994, pp. 735-741
Citations number
17
Categorie Soggetti
Emergency Medicine & Critical Care","Respiratory System
ISSN journal
1073449X
Volume
150
Issue
3
Year of publication
1994
Pages
735 - 741
Database
ISI
SICI code
1073-449X(1994)150:3<735:AOTVAU>2.0.ZU;2-A
Abstract
Although questionnaires have been developed to assess symptoms of obst ructive sleep apnea (OSA), their overall reliability and utility have not been established. We have evaluated the ability of a questionnaire to identify increased apnea activity (IAA) in 465 participants in an epidemiologic study of OSA. Subjects and their roommates each complete d a questionnaire and underwent in-home sleep studies. Responses to 56 questions about sleep habits, sleepiness, and daytime performance wer e analyzed with factor analysis, logistic regression, and receiver-ope rator curves (ROCs). Factor analysis demonstrated that 16 questions, g rouped into five factors (functional impact of sleepiness, self-report ed breathing disturbances, roommate-observed breathing disturbances, d riving impairment, and insomnia) explained 67% of the variance in the questionnaire data. Symptom questions demonstrated internal consistenc y (Cronbach correlations: 0.91 to 0.98). Moderate levels of agreement were observed between self- and roommate-reported responses for nine o f ten questions asked of both the subject and his/her partner (kappa s tatistics: 0.34 to 0.57). Logistic regression analysis demonstrated th at IAA could be best predicted by three questions about intensity of s noring, roommate-observed choking, and having fallen asleep while driv ing (ROC area: 0.78). Use of symptoms with data on gender and body mas s index (BMI) improved predictive ability by 10% (ROC area: 0.87). Thu s, questionnaire data provide a valid means of characterizing symptom distributions in population surveys of OSA. Predictive ability is not significantly improved with multiple questions or a separate roommate questionnaire, but is improved with consideration of data on BMI and g ender.