19
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Relationships between Severity of Internet Gaming Disorder, Severity of Problematic Social Media Use, Sleep Quality and Psychological Distress

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Internet gaming and social media use are prevalent and integral to many people’s lives. However, excessive engagement in either could lead to negative health impacts. This study aimed to investigate relationships between severities of internet gaming disorder (IGD) and problematic social media use (operationalized as social media addiction; SMA) with sleep quality and psychological distress among young adults. A cross-sectional study with snowball sampling was conducted among Hong Kong university students in 2019. All participants ( n = 300; mean (SD) age = 20.89 (1.48); 122 males (40.67%)) responded to an online survey that included Chinese versions of the Internet Gaming Disorder Scale-Short Form (IGDS9-SF), Bergen Social Media Addiction Scale (BSMAS), Pittsburgh Sleep Quality Index (PSQI), and Depression Anxiety Stress Scales (DASS-21). Multiple linear regressions demonstrated that IGDS-SF9 scores demonstrated associations with psychological distress measures (standardized coefficient (β) = 0.295 for depression, 0.325 for anxiety, 0.339 for stress, all p < 0.001). BSMAS scores showed similar albeit numerically less robust associations (β = 0.235 for depression, p < 0.001; 0.219 for anxiety, p = 0.001; 0.262 for stress, p < 0.001). BSMAS scores demonstrated associations with poorer sleep quality (β = 0.292; p < 0.001) and IGDS9-SF scores (β = 0.157; p = 0.024) showed a significantly less robust association ( p = 0.01 for comparing the two βs). These findings suggest that both severities of IGD and SMA associate with more psychological distress and poorer sleep quality, although the strengths of associations may differ.

          Related collections

          Most cited references51

          • Record: found
          • Abstract: not found
          • Article: not found

          A ‘components’ model of addiction within a biopsychosocial framework

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The relationship between addictive use of social media and video games and symptoms of psychiatric disorders: A large-scale cross-sectional study.

            Over the last decade, research into "addictive technological behaviors" has substantially increased. Research has also demonstrated strong associations between addictive use of technology and comorbid psychiatric disorders. In the present study, 23,533 adults (mean age 35.8 years, ranging from 16 to 88 years) participated in an online cross-sectional survey examining whether demographic variables, symptoms of attention-deficit/hyperactivity disorder (ADHD), obsessive-compulsive disorder (OCD), anxiety, and depression could explain variance in addictive use (i.e., compulsive and excessive use associated with negative outcomes) of two types of modern online technologies: social media and video games. Correlations between symptoms of addictive technology use and mental disorder symptoms were all positive and significant, including the weak interrelationship between the two addictive technological behaviors. Age appeared to be inversely related to the addictive use of these technologies. Being male was significantly associated with addictive use of video games, whereas being female was significantly associated with addictive use of social media. Being single was positively related to both addictive social networking and video gaming. Hierarchical regression analyses showed that demographic factors explained between 11 and 12% of the variance in addictive technology use. The mental health variables explained between 7 and 15% of the variance. The study significantly adds to our understanding of mental health symptoms and their role in addictive use of modern technology, and suggests that the concept of Internet use disorder (i.e., "Internet addiction") as a unified construct is not warranted.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Problematic smartphone use: A conceptual overview and systematic review of relations with anxiety and depression psychopathology.

              Research literature on problematic smartphone use, or smartphone addiction, has proliferated. However, relationships with existing categories of psychopathology are not well defined. We discuss the concept of problematic smartphone use, including possible causal pathways to such use.
                Bookmark

                Author and article information

                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                13 March 2020
                March 2020
                : 17
                : 6
                : 1879
                Affiliations
                [1 ]Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong; anniehiuyan@ 123456gmail.com (H.Y.W.); elainemohoiyi@ 123456gmail.com (H.Y.M.); monicachan0710@ 123456gmail.com (M.N.M.C.); sunny313971048@ 123456gmail.com (W.M.L.); chuitszkwan1996@ 123456gmail.com (T.K.C.)
                [2 ]Departments of Psychiatry and Neuroscience and the Child Study Center, School of Medicine, Yale University, New Haven, CT 06511, USA; marc.potenza@ 123456yale.edu
                [3 ]Connecticut Council on Problem Gambling, Wethersfield, CT 06109, USA
                [4 ]Connecticut Mental Health Center, New Haven, CT 06519, USA
                [5 ]Social Determinants of Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin 3419759811, Iran
                [6 ]Department of Nursing, School of Health and Welfare, Jönköping University, 55511 Jönköping, Sweden
                Author notes
                [* ]Correspondence: pakpour_amir@ 123456yahoo.com (A.H.P.); cylin36933@ 123456gmail.com (C.-Y.L.); Tel.: +98-283-323-9259 (A.H.P.); +852-2766-6755 (C.-Y.L.)
                Author information
                https://orcid.org/0000-0002-2129-4242
                Article
                ijerph-17-01879
                10.3390/ijerph17061879
                7143464
                32183188
                c7b7b0a5-c6de-475c-99ce-9fc9167e13f7
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 31 December 2019
                : 10 March 2020
                Categories
                Article

                Public health
                gaming,social media,behavior addiction,sleep quality,psychological distress
                Public health
                gaming, social media, behavior addiction, sleep quality, psychological distress

                Comments

                Comment on this article