Hakan Atalay1. 1. Department of Psychiatry, Yeditepe University Hospital, Istanbul, Turkey. hakanatalay2005@gmail.com
Abstract
BACKGROUND: The comorbidity of insomnia with various psychiatric conditions, such as anxiety, depressive and some personality disorders has been repeatedly shown in previous studies, although research investigating these disorders together is scarce. METHOD: Two hundred and sixty five patients were interviewed individually. Two hundred and twelve of them completed the Pittsburgh Sleep Quality Index. They were also given the Beck Depression Inventory (BDI), the Spielberger State and Trait Anxiety Inventory (STAI 1 and 2), the Severity of Psychosocial Stressors Scale of DSM II R, and the Structured Clinical Interview of DSM II R for Personality Disorders (SCIDII) Personality Questionnaire. RESULTS: There were no significant correlations between the patients insomnia scores and their gender, marital status, education, depression and trait anxiety scores, and stress levels. There were, however, significant associations of patients PSQI scores with their ages and STAI 1 scores. CONCLUSIONS: When age, BDI scores, STAI 1 and 2 scores, education and stress level during the last year are accepted as factors that may have an impact on PSQI scores, it appears that a patients age and STAI 1 score best estimates his or her PSQI scores.
BACKGROUND: The comorbidity of insomnia with various psychiatric conditions, such as anxiety, depressive and some personality disorders has been repeatedly shown in previous studies, although research investigating these disorders together is scarce. METHOD: Two hundred and sixty five patients were interviewed individually. Two hundred and twelve of them completed the Pittsburgh Sleep Quality Index. They were also given the Beck Depression Inventory (BDI), the Spielberger State and Trait Anxiety Inventory (STAI 1 and 2), the Severity of Psychosocial Stressors Scale of DSM II R, and the Structured Clinical Interview of DSM II R for Personality Disorders (SCIDII) Personality Questionnaire. RESULTS: There were no significant correlations between the patientsinsomnia scores and their gender, marital status, education, depression and trait anxiety scores, and stress levels. There were, however, significant associations of patients PSQI scores with their ages and STAI 1 scores. CONCLUSIONS: When age, BDI scores, STAI 1 and 2 scores, education and stress level during the last year are accepted as factors that may have an impact on PSQI scores, it appears that a patients age and STAI 1 score best estimates his or her PSQI scores.
Authors: Ru-Qing Liu; Michael S Bloom; Qi-Zhen Wu; Zhi-Zhou He; Zhengmin Qian; Katherine A Stamatakis; Echu Liu; Michael Vaughn; Wayne R Lawrence; Mingan Yang; Tao Lu; Qian-Sheng Hu; Guang-Hui Dong Journal: PLoS One Date: 2019-12-19 Impact factor: 3.240
Authors: Gustavo Ivan Torres-Granados; Rafael Santana-Miranda; Andrés Barrera-Medina; Copytzy Cruz-Cruz; Ulises Jiménez-Correa; Leon Rosenthal; Francisco López-Naranjo; Juan Manuel Martínez-Núñez Journal: Sleep Biol Rhythms Date: 2022-08-12 Impact factor: 1.390