Predicting sleep quality based on stress, anxiety and depression variables in students of Kermanshah University of Medical Sciences

Rasouli, Aras; Rahedeh, Saeed

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year 8, Issue 9 (autumn 2019 2019) Rooyesh 2019, 8(9): 77-84 | Back to browse issues page

‎ 20.1001.1.2383353.1398.8.9.2.4

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Rasouli A, Rahedeh S. Predicting sleep quality based on stress, anxiety and depression variables in students of Kermanshah University of Medical Sciences. Rooyesh 2019; 8 (9) :77-84
URL: http://frooyesh.ir/article-1-1263-en.html

Predicting sleep quality based on stress, anxiety and depression variables in students of Kermanshah University of Medical Sciences

Aras Rasouli

¹, Saeed Rahedeh²

1- Assistant Professor, Islamic Azad University Kermanshah Branch , aras.1357@yahoo.com
2- Kermanshah University of Medical Sciences

Abstract: (2311 Views)

The purpose of this study was to predict sleep quality based on stress, anxiety and depression variables among students of Kermanshah University of Medical Sciences. The method of this research is descriptive correlation. In this research, the statistical population of all students of Kermanshah University of Medical Sciences in the academic year of 1995-96 is about 5000 people. The sample of the study, based on the Morgan table, was 360 people who were randomly selected from the cluster. The instruments used in this research were Pittsburgh Sleep Quality Scale (1989), Ahwaz Anxiety (1995), Beck Depression (1996), and Sefarzadeh Stress (2000). Data were analyzed using Pearson correlation coefficient and multiple regressions. There is a significant positive correlation between the qualities of sleep in students. There is a significant positive relationship between anxiety and sleep quality in students. There is a significant positive correlation between depression and quality of sleep in students. The variables of stress, anxiety and depression can positively and significantly predict the quality of sleep.

Keywords: sleep quality, stress, anxiety and depression

Full-Text [PDF 770 kb] (35 Downloads)

Type of Article: Research | Subject: Health
Received: 2018/07/12 | Revised: 2019/12/26 | Accepted: 2018/08/18 | ePublished: 2019/12/1