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      The association between the use of video games, social media and online dating sites, and the symptoms of anxiety and/or depression in adults aged 25 and over

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          Abstract

          People tend to spend more time in front of their screens, which can have repercussions on their social life, physical and mental health. This topic has mainly been studied in adolescents. Therefore, our study tested associations between the use of video games, social media and online dating leading to sexual relations (ODLSR), and symptoms of anxiety and/or depression among adults aged 25 and over. Data from the 2018 TEMPO cohort study were analyzed (n = 853, 65.0% women, aged 25–44, with an average of 37.4 ± 3.7 years). The exposure variables were as follows: (a) the frequency of video game use, (b) time spent on social media and (c) ODLSR. Data were analyzed using multivariate logistic regression models, adjusted for participants’ sociodemographic characteristics as well as history of mental health problems. Among the participants, 8.6% presented symptoms of anxiety and/or depression. An association between ODLSR and symptoms of anxiety and/or depression was found, especially among women. The results of this study will facilitate the improvement of support and care for adults, especially those with symptoms of anxiety and/or depression using dating applications. Future studies should investigate the determinants of using online meeting websites and their relationship with the occurrence of psychological difficulties in longitudinal studies to establish causality.

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          Mental health problems and social media exposure during COVID-19 outbreak

          Huge citizens expose to social media during a novel coronavirus disease (COVID-19) outbroke in Wuhan, China. We assess the prevalence of mental health problems and examine their association with social media exposure. A cross-sectional study among Chinese citizens aged≥18 years old was conducted during Jan 31 to Feb 2, 2020. Online survey was used to do rapid assessment. Total of 4872 participants from 31 provinces and autonomous regions were involved in the current study. Besides demographics and social media exposure (SME), depression was assessed by The Chinese version of WHO-Five Well-Being Index (WHO-5) and anxiety was assessed by Chinese version of generalized anxiety disorder scale (GAD-7). multivariable logistic regressions were used to identify associations between social media exposure with mental health problems after controlling for covariates. The prevalence of depression, anxiety and combination of depression and anxiety (CDA) was 48.3% (95%CI: 46.9%-49.7%), 22.6% (95%CI: 21.4%-23.8%) and 19.4% (95%CI: 18.3%-20.6%) during COVID-19 outbroke in Wuhan, China. More than 80% (95%CI:80.9%-83.1%) of participants reported frequently exposed to social media. After controlling for covariates, frequently SME was positively associated with high odds of anxiety (OR = 1.72, 95%CI: 1.31–2.26) and CDA (OR = 1.91, 95%CI: 1.52–2.41) compared with less SME. Our findings show there are high prevalence of mental health problems, which positively associated with frequently SME during the COVID-19 outbreak. These findings implicated the government need pay more attention to mental health problems, especially depression and anxiety among general population and combating with “infodemic” while combating during public health emergency.
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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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              Adverse physiological and psychological effects of screen time on children and adolescents: Literature review and case study

              A growing body of literature is associating excessive and addictive use of digital media with physical, psychological, social and neurological adverse consequences. Research is focusing more on mobile devices use, and studies suggest that duration, content, after-dark-use, media type and the number of devices are key components determining screen time effects. Physical health effects: excessive screen time is associated with poor sleep and risk factors for cardiovascular diseases such as high blood pressure, obesity, low HDL cholesterol, poor stress regulation (high sympathetic arousal and cortisol dysregulation), and Insulin Resistance. Other physical health consequences include impaired vision and reduced bone density. Psychological effects: internalizing and externalizing behavior is related to poor sleep. Depressive symptoms and suicidal are associated to screen time induced poor sleep, digital device night use, and mobile phone dependency. ADHD-related behavior was linked to sleep problems, overall screen time, and violent and fast-paced content which activates dopamine and the reward pathways. Early and prolonged exposure to violent content is also linked to risk for antisocial behavior and decreased prosocial behavior. Psychoneurological effects: addictive screen time use decreases social coping and involves craving behavior which resembles substance dependence behavior. Brain structural changes related to cognitive control and emotional regulation are associated with digital media addictive behavior. A case study of a treatment of an ADHD diagnosed 9-year-old boy suggests screen time induced ADHD-related behavior could be inaccurately diagnosed as ADHD. Screen time reduction is effective in decreasing ADHD-related behavior.
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                Author and article information

                Journal
                Glob Ment Health (Camb)
                Glob Ment Health (Camb)
                GMH
                Cambridge Prisms: Global Mental Health
                Cambridge University Press (Cambridge, UK )
                2054-4251
                2024
                18 January 2024
                : 11
                : e11
                Affiliations
                [1]Sorbonne Université, INSERM, Institut Pierre Louis d’Epidémiologie et de Santé Publique (IPLESP), Equipe de Recherche en Epidémiologie Sociale (ERES) , F75012 Paris, France
                INSERM, Sorbonne Université , France
                Clinical, Neuro- and Developmental Psychology, Vrije Universiteit Amsterdam , Netherlands
                Johns Hopkins University Bloomberg School of Public Health , United States
                INSERM, Sorbonne Université , France
                Clinical, Neuro- and Developmental Psychology, Vrije Universiteit Amsterdam , Netherlands
                Johns Hopkins University Bloomberg School of Public Health , United States
                INSERM, Sorbonne Université , France
                Johns Hopkins University Bloomberg School of Public Health , United States
                Johns Hopkins University Bloomberg School of Public Health , United States
                Author notes
                Corresponding author: Murielle Mary-Krause; Email: murielle.mary-krause@ 123456iplesp.upmc.fr

                Murielle Mary-Krause is co-last author.

                I have no competing interests

                Reviewer declares none.

                I do not have any conflict of interest to report.

                Reviewer declares none.

                Author information
                https://orcid.org/0000-0002-8156-1007
                https://orcid.org/0000-0002-2377-619X
                Article
                S2054425124000025
                10.1017/gmh.2024.2
                10882175
                38390247
                3982a1ea-8762-48a5-9a5a-103ca1295cc0
                © The Author(s) 2024

                This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.

                History
                : 31 January 2023
                : 02 November 2023
                : 20 December 2023
                Page count
                Tables: 3, References: 68, Pages: 8
                Funding
                Funded by: Institut pour la Recherche en Santé Publique, doi http://dx.doi.org/10.13039/501100020320;
                Award ID: TGIR Cohortes
                Funded by: Mission Interministérielle de Lutte Contre les Drogues et les Conduites Addictives, doi http://dx.doi.org/10.13039/501100011000;
                Funded by: Institut National Du Cancer, doi http://dx.doi.org/10.13039/501100006364;
                Funded by: Pfizer Foundation, doi http://dx.doi.org/10.13039/100008648;
                Funded by: Agence Nationale de la Recherche, doi http://dx.doi.org/10.13039/501100001665;
                Categories
                Research Article
                Etiology
                Epidemiology
                Etiology
                Risks and Protective Factors, Including Social Risk

                anxiety,depression,internet use,adults,cross-sectional study,french cohort

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