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Psychometric Properties of the Persian Pittsburgh Sleep Quality Index for Adolescents Publisher Pubmed



Chehri A1, 2 ; Brand S2, 3, 4, 5, 6 ; Goldaste N1 ; Eskandari S2 ; Bruhl A4 ; Bahmani DS2, 3, 4, 7 ; Khazaie H2
Authors
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Authors Affiliations
  1. 1. Department of Psychology, Kermanshah Branch, Islamic Azad University, Kermanshah, 6714673159, Iran
  2. 2. Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, 6719851151, Iran
  3. 3. Health Institute, Substance Abuse Prevention Research Center, Kermanshah University of Medical Sciences, Kermanshah, 6719851151, Iran
  4. 4. Stress and Sleep Disorders (ZASS), Center for Affective, University of Basel, Psychiatric Clinics (UPK), Basel, 4002, Switzerland
  5. 5. Division of Sport Science and Psychosocial Health, Department of Sport, Exercise and Health, University of Basel, Basel, 4052, Switzerland
  6. 6. School of Medicine, Tehran University of Medical Sciences, Tehran, 1416753955, Iran
  7. 7. Exercise Neuroscience Research Laboratory, The University of Alabama at Birmingham (UAB), Birmingham, 35209, AL, United States

Source: International Journal of Environmental Research and Public Health Published:2020


Abstract

Background: Both cross-sectional and longitudinal studies show that poor sleep is a health concern related to further psychological and physiological issues during adolescence. To assess subjective sleep quality and sleep patterns among adults, the Pittsburgh Sleep Quality Index (PSQI) is a well and internationally established tool. Here, we established the psychometric properties of the Persian version of the PSQI for adolescents. Method: A total of 1477 adolescents (mean age: 15.47 years; 53.2% females) took part in the study. They completed a booklet on sociodemographic information, the Persian version of the PSQI for adolescents, and the Adolescent Sleep Hygiene Scale (ASHS). We relied on classical test reliability approaches of exploratory and confirmatory factor analyses. Results: Classical exploratory factor analysis yielded the seven-factor solution, with concurrent confirmation and overlap with the dimensions of the ASHS, although correlation coefficients were small to medium. A further factor analysis yielded a four-factor solution, explaining 72% of the variance of the PSQI. Further, three out of these four factors predicted the ASHS overall score. Conclusions: The Persian version of the PSQI for adolescents showed satisfactory psychometric properties. It follows that the Persian PSQI is a suitable tool to assess sleep quality and sleep patterns among adolescents. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.
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