PREDICTION OF INSOMNIA SEVERITY BASED ON COGNITIVE AND EMOTIONAL VARIABLES AND PERSONALITY TRAITS PRESENTED BY DSM-5 IN STUDENTS OF KURDISTAN UNIVERSITY IN 2016

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MEHRABIAN T.; RAHMANI F.

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Paper Information

Journal: JOURNAL OF RAFSANJAN UNIVERSITY OF MEDICAL SCIENCES AND HEALTH SERVICES Year:2018 | Volume:16 | Issue:11 Page(s): 1025-1040

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Title

PREDICTION OF INSOMNIA SEVERITY BASED ON COGNITIVE AND EMOTIONAL VARIABLES AND PERSONALITY TRAITS PRESENTED BY DSM-5 IN STUDENTS OF KURDISTAN UNIVERSITY IN 2016

Author(s)

MEHRABIAN T. | RAHMANI F. | Issue Writer Certificate

Keywords

INSOMNIAQ2

COGNITIVE VARIABLESQ1

EMOTIONAL VARIABLESQ1

PERSONALITY TRAITS PRESENTED BY DSM-5Q1

STUDENTSQ2

KURDISTANQ2

Abstract

Background and Objectives: INSOMNIA is the most common sleep disorder. Individuals with INSOMNIA often report more functioning problems. Numerous studies have shown that cognitive and emotional factors have an important role in the onset and maintenance of INSOMNIA. The purpose of this study was to predict the severity of INSOMNIA based on the cognitive and EMOTIONAL VARIABLES and PERSONALITY TRAITS PRESENTED BY DSM-5 (Diagnostic and Statistical Manual of Mental Disorders) in STUDENTS of KURDISTAN University in 2016.Materials and Methods: This study was a descriptive study. The study population consisted of all STUDENTS who were educating at the University of KURDISTAN in the academic year 2016-17. 190 STUDENTS were selected by means of available sampling and then subjected to the study. 6 questionnaires were used as means of data collection, including the INSOMNIA Severity Index (ISI), Dysfunctional Beliefs and Attitudes about Sleep Scale (DBAS-10), the Ruminative Response Scale (RRS), Penn State Worry Questionnaire (PSWQ) and Pre-Sleep Arousal Scale (PSAS), and the Personality Inventory DSM-5 (PID-5) The data were analyzed by descriptive statistics and Pearson’s correlation coefficient and multivariable regressions analysis.Results: The results of the study revealed that there are significant positive relationships between all cognitive, EMOTIONAL VARIABLES, and conflict personality areas and INSOMNIA severity (P<0.01). The highest correlation coefficient was pre-sleep arousal, which was the most important variable in this study (r=0.56). These factors could account for 41% of the variation in the INSOMNIA severity. Regression coefficients in stepwise method for linear combination of dysfunctional beliefs and attitudes about sleep, rumination, pre-sleep arousal, worry and personality areas with INSOMNIA severity were significant (P<0.001).Conclusion: Based on the research findings, these cognitive, emotional, and personality variables can be important components of INSOMNIA, therefore, treatment with the focus on these variables may lead to better outcomes.

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APA: Copy

MEHRABIAN, T., & RAHMANI, F.. (2018). PREDICTION OF INSOMNIA SEVERITY BASED ON COGNITIVE AND EMOTIONAL VARIABLES AND PERSONALITY TRAITS PRESENTED BY DSM-5 IN STUDENTS OF KURDISTAN UNIVERSITY IN 2016. JOURNAL OF RAFSANJAN UNIVERSITY OF MEDICAL SCIENCES AND HEALTH SERVICES, 16(11 ), 1025-1040. SID. https://sid.ir/paper/71338/en

Vancouver: Copy

MEHRABIAN T., RAHMANI F.. PREDICTION OF INSOMNIA SEVERITY BASED ON COGNITIVE AND EMOTIONAL VARIABLES AND PERSONALITY TRAITS PRESENTED BY DSM-5 IN STUDENTS OF KURDISTAN UNIVERSITY IN 2016. JOURNAL OF RAFSANJAN UNIVERSITY OF MEDICAL SCIENCES AND HEALTH SERVICES[Internet]. 2018;16(11 ):1025-1040. Available from: https://sid.ir/paper/71338/en

IEEE: Copy

T. MEHRABIAN, and F. RAHMANI, “PREDICTION OF INSOMNIA SEVERITY BASED ON COGNITIVE AND EMOTIONAL VARIABLES AND PERSONALITY TRAITS PRESENTED BY DSM-5 IN STUDENTS OF KURDISTAN UNIVERSITY IN 2016,” JOURNAL OF RAFSANJAN UNIVERSITY OF MEDICAL SCIENCES AND HEALTH SERVICES, vol. 16, no. 11 , pp. 1025–1040, 2018, [Online]. Available: https://sid.ir/paper/71338/en

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