Johanna Takács1, Róbert Bódizs2,3, Péter Przemyslaw Ujma2, Klára Horváth4, Péter Rajna5, László Harmat6. 1. Institute of Behavioural Sciences, Semmelweis University, H-1089 Budapest, Nagyvárad tér 4, Budapest, Hungary. spss.stat@gmail.com. 2. Institute of Behavioural Sciences, Semmelweis University, H-1089 Budapest, Nagyvárad tér 4, Budapest, Hungary. 3. Department of General Psychology, Pázmány Péter Catholic University, Budapest, Hungary. 4. 2nd Department of Pediatrics, Semmelweis University, Budapest, Hungary. 5. Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary. 6. Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Abstract
PURPOSE: The Pittsburgh Sleep Quality Index is used to evaluate subjective sleep quality, and it is commonly used in clinical research. Subjective sleep quality is also an important clinical measure in patients with psychiatric disorders. The aim of the present study was to evaluate the reliability and validity of the Hungarian version of the Pittsburgh Sleep Quality Index (PSQI-HUN) in both clinical and non-clinical samples. METHODS: The original version of PSQI was translated into Hungarian according to standard guidelines. The PSQI-HUN and the Athens Insomnia Scale (AIS) were subsequently administered to 53 psychiatric patients (schizophrenia, recurrent depressive disorder, mixed anxiety, and depressive disorder) and 178 healthy controls. RESULTS: Internal consistency as measured by Cronbach's alpha in the whole sample was 0.79. Pearson's product-moment correlations between component scores and the global scores were high (0.59-0.88) in the PSQI-HUN indicating the homogeneity of the scale. PSQI-HUN global and component scores differed significantly between psychiatric patients and control subjects. In the psychiatric patient subsample, schizophrenics had lower global scores compared to the other two patient groups. The analysis of convergent validity showed significant correlations between the AIS and the global as well as the component scores of the PSQI-HUN (except the component of sleep latency). CONCLUSIONS: The present study concludes that the PSQI-HUN is a reliable, valid, and standardized measure for assessment of the subjective sleep quality in clinical and research settings.
PURPOSE: The Pittsburgh Sleep Quality Index is used to evaluate subjective sleep quality, and it is commonly used in clinical research. Subjective sleep quality is also an important clinical measure in patients with psychiatric disorders. The aim of the present study was to evaluate the reliability and validity of the Hungarian version of the Pittsburgh Sleep Quality Index (PSQI-HUN) in both clinical and non-clinical samples. METHODS: The original version of PSQI was translated into Hungarian according to standard guidelines. The PSQI-HUN and the Athens Insomnia Scale (AIS) were subsequently administered to 53 psychiatricpatients (schizophrenia, recurrent depressive disorder, mixed anxiety, and depressive disorder) and 178 healthy controls. RESULTS: Internal consistency as measured by Cronbach's alpha in the whole sample was 0.79. Pearson's product-moment correlations between component scores and the global scores were high (0.59-0.88) in the PSQI-HUN indicating the homogeneity of the scale. PSQI-HUN global and component scores differed significantly between psychiatricpatients and control subjects. In the psychiatricpatient subsample, schizophrenics had lower global scores compared to the other two patient groups. The analysis of convergent validity showed significant correlations between the AIS and the global as well as the component scores of the PSQI-HUN (except the component of sleep latency). CONCLUSIONS: The present study concludes that the PSQI-HUN is a reliable, valid, and standardized measure for assessment of the subjective sleep quality in clinical and research settings.
Authors: Balázs Koncz; Erika Darvasi; Dalma Erdősi; Andrea Szentesi; Katalin Márta; Bálint Erőss; Dániel Pécsi; Zoltán Gyöngyi; János Girán; Nelli Farkas; Maria Papp; Eszter Fehér; Zsuzsanna Vitális; Tamás Janka; Áron Vincze; Ferenc Izbéki; Veronika Dunás-Varga; László Gajdán; Imola Török; Sándor Károly; Judit Antal; Noémi Zádori; Markus M Lerch; John Neoptolemos; Miklós Sahin-Tóth; Ole H Petersen; Péter Hegyi Journal: BMJ Open Date: 2020-01-06 Impact factor: 2.692
Authors: Péter Simor; András Harsányi; Kata Csigó; Gergely Miklós; Alpár Sándor Lázár; Gyula Demeter Journal: J Behav Addict Date: 2018-02-08 Impact factor: 6.756