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ŞAHBAZ, ÇIĞDEM DILEK

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ÇIĞDEM DILEK
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ŞAHBAZ
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Now showing 1 - 3 of 3
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    PublicationOpen Access
    Chronotype anc Sleep Quality Assessment of Patients with Polycystic Ovary Syndrome
    (2021-01-01T00:00:00Z) GÖKMEN KARASU, AYŞE FİLİZ; Sahbaz, Cigdem Dilek; Dogu, Zeynep Filiz Eren; TAKMAZ, TAHA; ÇALI, HALİME; Tanoglu, Basak; GÖKMEN KARASU, AYŞE FİLİZ; ŞAHBAZ, ÇIĞDEM DILEK; TAKMAZ, TAHA; ÇALI, HALİME
    Aim: Polycystic Ovary Syndrome (PCOS) is the most common endocrine disorder among women during the reproductive ages. The purpose of this study was to investigate the chronotype and sleep quality of PCOS patients.
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    PublicationOpen Access
    Chronotype and Sleep Quality in Patients with Inflammatory Bowel Disease
    (2020-01-01T00:00:00Z) Keskin, Elmas; Sahbaz, Cigdem Dilek; BİBERCİ KESKİN, ELMAS; ŞAHBAZ, ÇIĞDEM DILEK
    Aim: Chronotype and sleep disturbance are both considered risk factors for chronic autoimmune diseases. However, there is lack of knowledge with respect to chronic inflammatory bowel disease and chronotype patterns. Therefore, we investigated the chronotype and sleep quality in patients with ulcerative colitis and Crohn-s disease.
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    PublicationOpen Access
    Clinical evaluation of biological rhythm domains in patients with major depression
    (2020-05-01T00:00:00Z) Ozcelik, Mine; Sahbaz, Cigdem; ŞAHBAZ, ÇIĞDEM DILEK
    Objective: Sleep, physical activity, and social domains of biological rhythm disruptions may have specific effects on the symptom cluster and severity of depression. However, there is a lack of structured clinical evaluation to specify the domains of biological rhythms in patients with depression. Methods: Ninety drug-naïve subjects with depression and 91 matched healthy controls were recruited for the study. The severity of depression was examined with the Hamilton Rating Scale for Depression (HRSD), while biological rhythm was evaluated using the Biological Rhythms Interview of Assessment in Neuropsychiatry (BRIAN). Results: Patients with depression showed significantly greater biological rhythm disturbances than healthy controls in all domains of BRIAN (sleep, activity, social, and eating). BRIAN-Total correlated positively with HRSD-Total and HRSD-Total without sleep cluster. The sleep and activity domains correlated significantly with HRSD-Total score. Additionally, the sleep, activity, and social domains correlated significantly with HRSD-Total without the sleep cluster score. Regression analysis revealed the activity (β = 0.476, t = 5.07, p<0.001) and sleep (β = 0.209, t = 2.056, p = 0.043) domains may predict HRSD-Total score.