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year 11, Issue 3 (spring 2022 2022)
Rooyesh 2022, 11(3): 135-148 |
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Ethics code: IR.SEMUMS.REC.1399.257
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Gharib Bolouk M, Mikaeili N, Basharpoor S. Predicting Students' Sleep Quality based on Anxiety Sensitivity, Internet Addiction and Mindfulness. Rooyesh 2022; 11 (3) :135-148
URL: http://frooyesh.ir/article-1-3393-en.html
URL: http://frooyesh.ir/article-1-3393-en.html
1- Ph.D Student of Psychology, Department of Educational Psychology, University Of Mohaghegh Ardabili, Ardabil, Iran.
2- Professor, Department of Psychology, Department of Educational Psychology, University Of Mohaghegh Ardabili, Ardabil, Iran. , nmikaeili@yahoo.com
3- Professor, Department of Psychology, Department of Educational Psychology, University Of Mohaghegh Ardabili, Ardabil, Iran.
2- Professor, Department of Psychology, Department of Educational Psychology, University Of Mohaghegh Ardabili, Ardabil, Iran. , nmikaeili@yahoo.com
3- Professor, Department of Psychology, Department of Educational Psychology, University Of Mohaghegh Ardabili, Ardabil, Iran.
Abstract: (1154 Views)
Sleep is one of the most important processes of circadian cycles that play a major role in mental and physical health, especially during adolescence. The purpose of the present study was to predict the quality of sleep in students based on anxiety sensitivity, Internet addiction, and mindfulness. The present study is descriptive research in terms of purpose and correlational in terms of method. The study population included all high school girls and boys students of Damghan City in 2020-2021, among them 329 students selected as a sample by multi-stage random cluster sampling. Research questionnaires included: an anxiety sensitivity questionnaire (Reese & et al, 1986), an Internet addiction questionnaire (Young, 1998), a mindfulness questionnaire (Ryan, Brown, 2003), and a quality of sleep questionnaire (Boyce, 1989). Data were analyzed by Pearson correlation coefficient and multiple regression. Findings showed that there was a significant relationship between anxiety sensitivity, Internet addiction, and mindfulness with students' sleep quality (p<0.05). Also, the results of multiple regression showed that anxiety sensitivity, internet addiction, and mindfulness can explain the 0.17 variance in quality of sleep in students (p<0.001). It can conclude that anxiety sensitivity, Internet addiction, and mindfulness effected on students' sleep quality. psychologists and health professionals are advised to pay more attention to the role of these variables in improving students' sleep quality.
Type of Article: Research |
Subject:
Clinical Psychology
Received: 2021/12/5 | Revised: 2022/06/28 | Accepted: 2022/04/28 | ePublished: 2022/06/28
Received: 2021/12/5 | Revised: 2022/06/28 | Accepted: 2022/04/28 | ePublished: 2022/06/28
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