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Reliability and validity of the Athens Insomnia Scale in chronic pain patients
- Publication Year :
- 2018
-
Abstract
- Kiyoka Enomoto,1–3 Tomonori Adachi,2–4 Keiko Yamada,5 Daisuke Inoue,2,6 Miho Nakanishi,7 Tomohiko Nishigami,2,8 Masahiko Shibata1,2 ¹Department of Pain Medicine, Osaka University Graduate School of Medicine, Suita, Japan; 2Center for Pain Management, Osaka University Hospital, Suita, Japan; 3Department of Anesthesiology, Interdisciplinary Pain Management Center, Shiga University of Medical Science Hospital, Otsu, Japan; 4Japan Society for the Promotion of Science (JSPS), Tokyo, Japan; 5Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Suita, Japan; 6Department of Occupational Therapy, Osaka College of Rehabilitation, Osaka, Japan; 7Department of Anesthesiology, Shiga University of Medical Science, Otsu, Japan; 8Department of Nursing and Physical Therapy, Konan Woman’s University, Kobe, Japan Purpose: To confirm the psychometric properties of the Athens Insomnia Scale (AIS) among Japanese chronic pain patients.Patients and methods: In total, 144 outpatients were asked to complete questionnaires comprising the AIS and other study measures. According to the original article, the AIS has 2 versions: the AIS-8 (full version) and the AIS-5 (brief version). To validate the AIS-8 and AIS-5 among chronic pain patients, we confirmed: 1) factor structure by confirmatory factor analysis; 2) internal consistency by Cronbach’s a; 3) test–retest reliability using with interclass correlation coefficients; 4) known-group validity; 5) concurrent validity; and 6) cut-off values by receiver operating characteristic analysis. In addition, semi-structured interviews were conducted to assess the participants’ sleep disturbance. If the participants had any sleep complaints, including difficulty in initiating sleep, difficulty in maintaining sleep, and early morning awakening, they were defined as insomnia symptoms.Results: A 2-factor model of the AIS-8 and 1-factor model of the AI
Details
- Database :
- OAIster
- Notes :
- text/html, English
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1042563309
- Document Type :
- Electronic Resource