Volume 10, Issue 4 (2-2024)
J Jiroft Univ Med Sci 2024, 10(4): 1403-1411 |
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Kamyabi M, Askarizadeh G, Bagheri M. The Relationship between Social Health, Brain-Behavioral Systems, Psychological Distress, and Mental Well-Being and Smart Phone Dependency. J Jiroft Univ Med Sci 2024; 10 (4) :1403-1411
URL: http://journal.jmu.ac.ir/article-1-744-en.html
URL: http://journal.jmu.ac.ir/article-1-744-en.html
1- Master Student of General Psychology, Department of Psychology, Faculty of Literature and Human Sciences, Shahid Bahonar University of Kerman, Kerman, Iran , mohammadkamyabi@ens.uk.ac.ir
2- Associate Professor, Department of Psychology, Faculty of Literature and Human Sciences, Shahid Bahonar University of Kerman, Kerman, Iran
3- Professor, Department of Psychology, Faculty of Literature and Human Sciences, Shahid Bahonar University of Kerman, Kerman, Iran
2- Associate Professor, Department of Psychology, Faculty of Literature and Human Sciences, Shahid Bahonar University of Kerman, Kerman, Iran
3- Professor, Department of Psychology, Faculty of Literature and Human Sciences, Shahid Bahonar University of Kerman, Kerman, Iran
Abstract: (106 Views)
Introduction: Increasing students' use of smartphones and the fact that these types of phones provide many features have put the potential addiction to smartphones at the center of research. Therefore, the purpose of this study was to investigate the relationship between social health, brain-behavioral systems, psychological distress, and mental well-being and intelligent mobile phones.
Materials and Methods: The present research’s method, according to the data collection method, was descriptive-correlation . Based on Morgan's table, 362 medical students of Kerman University of Medical Sciences were selected as the sample using available sampling method. To collect data, Kisse's Social Health Questionnaires, Carver and White Brain-Behavioral Systems Scale Questionnaire, Kasler Psychological Distress Questionnaire, Warwick-Edinburgh Mental Welfare Questionnaire, and Kohi Smartphone Addiction Questionnaire were used. The data was analyzed using SPSS21 software through Pearson correlation coefficient and multiple linear regression.
Results: Regulatory analysis results showed that mental well -being, brain -behavioral system, brain -behavioral system, and social health are able to predict 45 % of the variance of smartphone dependence.
Conclusion: The findings of the study suggest that increasing social health; increasing behavioral activation system and reducing behavioral inhibition; reducing psychological distress and increasing mental well -being have been associated with reducing dependence on smartphones. |
Keywords: Mental well-being, Psychological distress, Social health, Brain-behavioral systems, Smartphone dependency
Type of Study: Research |
Subject:
Medical Sciences / Psychiatry
Received: 2023/09/19 | Accepted: 2024/01/7 | Published: 2024/03/10
Received: 2023/09/19 | Accepted: 2024/01/7 | Published: 2024/03/10
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