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      Problematic Use of Internet Associates with Poor Quality of Life via Psychological Distress in Invididuals with ADHD

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          Abstract

          Background

          Problematic use of internet (PUI) may have negative impacts on psychological distress and quality of life (QoL). This situation might be more profound in people with attention-deficit/hyperactivity disorder (ADHD) due to poorer behavioral control and regulatory capacity. However, there is little evidence regarding mediated effects in the associations between PUI, psychological distress, and QoL in people with ADHD.

          Aims

          To investigate mediating effects of psychological distress in the associations of problematic smartphone use (PSPU), problematic use of social media (PUSM), and problematic gaming (PG) with QoL in individuals with ADHD.

          Methods and Procedures

          PUI behaviors of participants with ADHD (n = 99) were assessed using the Smartphone Application-Based Addiction Scale, Bergen Social Media Addiction Scale, and Internet Gaming Disorder-Short Form. Psychological distress was assessed using the Depression, Anxiety, Stress Scale and QoL using the Kid-KINDL.

          Outcomes and Results

          Psychological distress mediated the associations between PUI and different domains of QoL, except for self-esteem QoL. There were also positively direct effects between PG and physical QoL, PUSM and friends’ QoL, and PSPU and physical QoL.

          Conclusions and Implications

          PUI may associate with poor QoL in people with ADHD via psychological distress. Programs on reducing PUI for people with ADHD are needed.

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          Most cited references79

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          A ‘components’ model of addiction within a biopsychosocial framework

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            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.
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              Problematic Social Media Use: Results from a Large-Scale Nationally Representative Adolescent Sample

              Despite social media use being one of the most popular activities among adolescents, prevalence estimates among teenage samples of social media (problematic) use are lacking in the field. The present study surveyed a nationally representative Hungarian sample comprising 5,961 adolescents as part of the European School Survey Project on Alcohol and Other Drugs (ESPAD). Using the Bergen Social Media Addiction Scale (BSMAS) and based on latent profile analysis, 4.5% of the adolescents belonged to the at-risk group, and reported low self-esteem, high level of depression symptoms, and elevated social media use. Results also demonstrated that BSMAS has appropriate psychometric properties. It is concluded that adolescents at-risk of problematic social media use should be targeted by school-based prevention and intervention programs.
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                Author and article information

                Journal
                Psychol Res Behav Manag
                Psychol Res Behav Manag
                prbm
                Psychology Research and Behavior Management
                Dove
                1179-1578
                09 February 2024
                2024
                : 17
                : 443-455
                Affiliations
                [1 ]School of Physical Therapy and Graduate Institute of Rehabilitation Science, College of Medicine, Chang Gung University , Taoyuan, Taiwan
                [2 ]New Taipei City Tucheng Hospital (Chang Gung Medical Foundation), Department of Pediatric Internal Medicine , New Taipei City, Taiwan
                [3 ]Department of Child and Adolescent Psychiatry, Jianan Psychiatric Center, Ministry of Health and Welfare , Tainan, Taiwan
                [4 ]Department of Rehabilitation Sciences, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University , Hung Hom, Hong Kong
                [5 ]Department of Social Work, Chinese University of Hong Kong , New Territories, Hong Kong
                [6 ]Division of Colon and Rectal Surgery, Ditmanson Medical Foundation Chia-Yi Christian Hospital , Chiayi, 621, Taiwan
                [7 ]Department of Psychiatry, Yale School of Medicine , New Haven, CT, USA
                [8 ]Connecticut Mental Health Center , New Haven, CT, USA
                [9 ]Connecticut Council on Problem Gambling , Wethersfield, CT, USA
                [10 ]Child Study Center, Yale School of Medicine , New Haven, CT, USA
                [11 ]Department of Neuroscience, Yale University , New Haven, CT, USA
                [12 ]Wu Tsai Institute, Yale University , New Haven, CT, USA
                [13 ]Department of General Psychiatry, Jianan Psychiatric Center, Ministry of Health and Welfare , Tainan, Taiwan
                [14 ]Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University , Tainan, Taiwan
                [15 ]Department of Nursing, School of Health and Welfare, Jönköping University , Jönköping, Sweden
                [16 ]Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University , Tainan, Taiwan
                [17 ]Biostatistics Consulting Center, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University , Tainan, Taiwan
                [18 ]Department of Public Health, College of Medicine, National Cheng Kung University , Tainan, Taiwan
                [19 ]Department of Occupational Therapy, College of Medicine, National Cheng Kung University , Tainan, Taiwan
                [20 ]INTI International University , Nilai, Negeri Sembilan, 71800, Malaysia
                Author notes
                Correspondence: Kun-Chia Chang, Department of General Psychiatry, Jianan Psychiatric Center, Ministry of Health and Welfare , Tainan, Taiwan, Tel +886-6-2795019 ext. 1532, Fax +886-6-2797659, Email kunchiachang0517@gmail.com
                Chuan-Yin Fang, Division of Colon and Rectal Surgery, Ditmanson Medical Foundation Chia-Yi Christian Hospital , Chiayi, 621, Taiwan, Email 04969@cych.org.tw
                Author information
                http://orcid.org/0000-0002-6323-1354
                http://orcid.org/0000-0002-8798-5345
                http://orcid.org/0000-0002-2129-4242
                Article
                449369
                10.2147/PRBM.S449369
                10863463
                38352630
                ca8e7758-df0b-4464-9070-46cb83d929b4
                © 2024 Chen et al.

                This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms ( https://www.dovepress.com/terms.php).

                History
                : 11 November 2023
                : 31 January 2024
                Page count
                Figures: 0, Tables: 4, References: 79, Pages: 13
                Funding
                Funded by: the Ministry of Health and Welfare, Executive Yuen, Taiwan;
                Funded by: the Ministry of Science and Technology;
                Funded by: National Science and Technology Council, Taiwan;
                This project was supported by grants from the Ministry of Health and Welfare, Executive Yuen, Taiwan (MOHW-10961, MOHW-10962, MOHW-11065, and MOHW-11066) and partially supported by grants from the International Research Collaboration Fund granted by the Department of Social Work, The Chinese University of Hong Kong (Grant number: 19231106), the Ministry of Science and Technology (MOST 107-2627-M-006-007) and the National Science and Technology Council, Taiwan (NSTC 112-2410-H-006-089-SS2). The funders had no role in the study design, data analysis, or preparation of this manuscript.
                Categories
                Original Research

                Clinical Psychology & Psychiatry
                attention-deficit/hyperactivity disorder,adhd,impulsive behavior,addictive behavior,internet,psychological distress,quality of life

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