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1.
Psychiatry Res ; 322: 115097, 2023 04.
Article in English | MEDLINE | ID: covidwho-2311013

ABSTRACT

The current study aimed to investigate comorbidity among symptoms of depression and internet gaming disorder (IGD) utilizing symptom network analysis in a sample of Chinese adolescents. A total of 1,362 Chinese adolescents (Mean age = 15.19 ± 1.67; range 13-21; 39.79% female, 56.02% male, 4.19% not disclosed) were recruited from 11 local secondary schools between June and July 2020. Symptoms of depression and IGD were assessed by the 7-item DASS-21 depression subscale and the 9-item Internet Gaming Disorder Scale. We conducted network analysis to estimate network models and the most central symptoms of depression and IGD and computed a combined network model of both depression and IGD symptoms to find bridge symptoms and illustrate the comorbidity between depression and IGD. We found that feeling 'Worthless', 'Meaningless', and 'Down-hearted' were identified as the most central symptoms of depression, whereas 'Preoccupation' and 'Tolerance' were the two most central symptoms of IGD. The bridge symptoms in the combined network model were 'Gaming for escape or mood relief' from the IGD cluster and 'No initiative' and 'Down-hearted" from the depression cluster. The current study was the first to investigate the relationship between depression and IGD symptoms among adolescents utilizing a symptom network perspective. Also, it highlighted key bridge symptoms in understanding how IGD and depression contribute to each other.


Subject(s)
Behavior, Addictive , Video Games , Humans , Male , Adolescent , Female , Depression , Internet Addiction Disorder , East Asian People , Behavior, Addictive/diagnosis , Internet
2.
J Gambl Stud ; 39(2): 483-511, 2023 Jun.
Article in English | MEDLINE | ID: covidwho-2310004

ABSTRACT

Gambling disorder is a common and problematic behavioral disorder associated with depression, substance abuse, domestic violence, bankruptcy, and high suicide rates. In the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5), pathological gambling was renamed "gambling disorder" and moved to the Substance-Related and Addiction Disorders chapter to acknowledge that research suggests that pathological gambling and alcohol and drug addiction are related. Therefore, this paper provides a systematic review of risk factors for gambling disorder. Systematic searches of EBSCO, PubMed, and Web of Science identified 33 records that met study inclusion criteria. A revised study acknowledges as risk factors for developing/maintaining a gambling disorder being a single young male, or married for less than 5 years, living alone, having a poor education, and struggling financially.


Subject(s)
Behavior, Addictive , Gambling , Substance-Related Disorders , Humans , Male , Gambling/psychology , Comorbidity , Substance-Related Disorders/epidemiology , Behavior, Addictive/epidemiology , Behavior, Addictive/diagnosis , Diagnostic and Statistical Manual of Mental Disorders , Risk Factors
3.
Compr Psychiatry ; 118: 152346, 2022 10.
Article in English | MEDLINE | ID: covidwho-1982871

ABSTRACT

Global concern about problematic usage of the internet (PUI), and its public health and societal costs, continues to grow, sharpened in focus under the privations of the COVID-19 pandemic. This narrative review reports the expert opinions of members of the largest international network of researchers on PUI in the framework of the European Cooperation in Science and Technology (COST) Action (CA 16207), on the scientific progress made and the critical knowledge gaps remaining to be filled as the term of the Action reaches its conclusion. A key advance has been achieving consensus on the clinical definition of various forms of PUI. Based on the overarching public health principles of protecting individuals and the public from harm and promoting the highest attainable standard of health, the World Health Organisation has introduced several new structured diagnoses into the ICD-11, including gambling disorder, gaming disorder, compulsive sexual behaviour disorder, and other unspecified or specified disorders due to addictive behaviours, alongside naming online activity as a diagnostic specifier. These definitions provide for the first time a sound platform for developing systematic networked research into various forms of PUI at global scale. Progress has also been made in areas such as refining and simplifying some of the available assessment instruments, clarifying the underpinning brain-based and social determinants, and building more empirically based etiological models, as a basis for therapeutic intervention, alongside public engagement initiatives. However, important gaps in our knowledge remain to be tackled. Principal among these include a better understanding of the course and evolution of the PUI-related problems, across different age groups, genders and other specific vulnerable groups, reliable methods for early identification of individuals at risk (before PUI becomes disordered), efficacious preventative and therapeutic interventions and ethical health and social policy changes that adequately safeguard human digital rights. The paper concludes with recommendations for achievable research goals, based on longitudinal analysis of a large multinational cohort co-designed with public stakeholders.


Subject(s)
Behavior, Addictive , COVID-19 , Gambling , Behavior, Addictive/diagnosis , Behavior, Addictive/epidemiology , COVID-19/epidemiology , Female , Gambling/epidemiology , Humans , Internet , Male , Pandemics
4.
J Behav Addict ; 11(2): 451-466, 2022 Jul 13.
Article in English | MEDLINE | ID: covidwho-1963102

ABSTRACT

Background and aims: Internet video streaming (VS) has become a popular leisure activity among the majority of adolescents, especially under the COVID-19 pandemic. Research on binge watching patterns in adults suggests an addictive potential of VS. To date, no unified conceptualization on problematic VS and no standardized assessment tools for adolescents exist even though they might be especially vulnerable. Methods: STREDIS-A is based on the ICD-11 criteria of gaming disorder. It was validated in a representative sample of 959 dyads of 10- to 17-year old adolescents with frequent VS and a respective parent using standardized questionnaires on Internet addiction, depressive and anxiety symptoms, insomnia, loneliness, and academic performance in an online survey. Item structure was investigated by factorial analyses. Cutoffs were estimated and latent profile analysis was performed. Results: The two-factorial structure of STREDIS-A describes cognitive-behavioral symptoms and negative consequences of VS. Internal consistency and criterion validity were good to excellent. It could excellently discriminate between affected and non-affected adolescents. Discussion and conclusions: The present study makes a significant contribution to the conceptualization of a new phenomenon. It provides the very first tool to assess streaming disorder in adolescents for clinical and research settings. Clinical validation is highly warranted.


Subject(s)
Behavior, Addictive , COVID-19 , Video Games , Adolescent , Adult , Behavior, Addictive/diagnosis , COVID-19/diagnosis , Child , Concept Formation , Humans , International Classification of Diseases , Internet , Pandemics
5.
Compr Psychiatry ; 115: 152312, 2022 05.
Article in English | MEDLINE | ID: covidwho-1788039

ABSTRACT

Internet Gaming Disorder (IGD) has become a significant issue in mental healthcare over the past decades as the number of people engaging in excessive and unhealthy gaming increases with each year. Despite its inclusion in the 5th Edition of Diagnostic Statistical Manual and the development of a number of treatment methods that have been designed and tested for IGD, treatment remains a challenge. This review attempts to give an overview of the current state of IGD and its treatment with a specific focus on the potential of technology-based solutions, such as web-based programs, mobile applications, and virtual reality. The review also highlights the need for additional work in the area of treatment development for IGD and the preliminary evidence for the usefulness and importance of technology-based treatment methods which offer unique advantages, such as accessibility, scalability, and cost-effectiveness, over other existing treatment options.


Subject(s)
Behavior, Addictive , Video Games , Behavior, Addictive/diagnosis , Behavior, Addictive/therapy , Humans , Immunoglobulin D , Internet , Internet Addiction Disorder , Technology
6.
PLoS One ; 16(6): e0252516, 2021.
Article in English | MEDLINE | ID: covidwho-1256041

ABSTRACT

Gambling Disorder (GD) has recently been reclassified from an impulse-control disorder to a behavioural addiction and, as in other addictive disorders, the dopaminergic reward system is involved. According to neuroimaging studies, alterations within the striatal dopaminergic signalling can occur in GD. However, the findings to date are controversial and there has been no agreement yet on how the reward system is affected on a molecular basis. Within the last 20 years, there has been growing evidence for a higher risk to develop GD in response to certain dopaminergic medication. Especially the dopamine agonists pramipexole and ropinirole, and the dopamine modulator aripiprazole seem to increase the likelihood for GD. The goal of this study was to examine the association between a prescription for either of the three pharmaceuticals and a GD diagnosis in a large cross-sectional study of the Swedish population. Compared to patients with any other dopaminergic drug prescription (38.7% with GD), the diagnosis was more common in patients with a dopamine agonist prescription (69.8% with GD), resulting in an odds ratio of 3.2. A similar association was found between aripiprazole prescriptions and GD diagnoses, which were analysed within the subgroup of all patients with schizophrenia or a schizotypal, delusional, or another non-mood psychotic disorder. An aripiprazole prescription increased the likelihood of GD (88.8%) in comparison to patients without an aripiprazole prescription (71.2%) with an odds ratio of 3.4. This study contributes to the increasingly reliable evidence for an association between several dopaminergic drugs and a higher risk for developing GD. Therefore, one future research goal should be a better understanding of the neurobiology in GD to be able to design more selective dopaminergic medication with less severe side effects. Additionally, this knowledge could enable the development of pharmacotherapy in GD and other addictive disorders.


Subject(s)
Aripiprazole/adverse effects , Behavior, Addictive/chemically induced , Dopamine Agonists/adverse effects , Gambling/chemically induced , Indoles/adverse effects , Pramipexole/adverse effects , Registries , Adult , Aged , Aged, 80 and over , Behavior, Addictive/diagnosis , Behavior, Addictive/epidemiology , Behavior, Addictive/metabolism , Cross-Sectional Studies , Dopamine/metabolism , Female , Gambling/diagnosis , Gambling/epidemiology , Gambling/metabolism , Humans , Male , Middle Aged , Reward , Risk Factors , Sweden/epidemiology , Young Adult
7.
Cogn Behav Ther ; 50(3): 179-184, 2021 05.
Article in English | MEDLINE | ID: covidwho-1238117

ABSTRACT

The novel 2019 SARS-2-CoV causing COVID-19 has had a devastating impact on the entire world. COVID-19 is a broad-based stressor, and research to date has documented increases in mental health problems, including anxiety, depression, and substance use, since the onset of COVID-19. By taking a transdiagnostic approach, scholars can help elucidate mechanisms and vulnerability as well as resiliency related to behavioral health problems in the context of COVID-19. The aim of the current special issue of Cognitive Behaviour Therapy was to showcase ongoing research focused on transdiagnostic factors in the context of COVID-19. The purpose of this issue is to highlight the significance of this work in the pandemic for research and practice; illustrate some of the many domains currently being explored via innovative approaches; and explicate fruitful areas for programmatic study. We hope that readers will recognize the important role of transdiagnostic models and their potential to offset the mental, addictive, and physical health disease burden of COVID-19.


Subject(s)
Anxiety Disorders/diagnosis , Anxiety/diagnosis , Behavior, Addictive/diagnosis , COVID-19/psychology , Depression/diagnosis , Depressive Disorder/diagnosis , Substance-Related Disorders/diagnosis , Anxiety/psychology , Anxiety Disorders/psychology , Behavior, Addictive/psychology , Depression/psychology , Depressive Disorder/psychology , Humans , Pandemics , Risk Factors , Substance-Related Disorders/psychology
8.
Int J Environ Res Public Health ; 18(3)2021 01 26.
Article in English | MEDLINE | ID: covidwho-1058502

ABSTRACT

BACKGROUND: Problematic gaming has become a major health issue in children and adolescents resulting in the need for targeted valid and reliable screening instruments. This study aimed to explore the psychometric properties and criterion validity of the widely used 9-item Internet Gaming Disorder Scale (IGDS) in young gamers. METHODS: Three independent samples were drawn from socio-demographically representative cross-sectional telephone surveys collected in the years 2016 (N = 762), 2017 (N = 777), and 2018 (N = 784) and analyzed separately. RESULTS: The IGDS revealed psychometric properties suitable for screening in large samples. Cronbach's alpha was 0.563, 0.724, and 0.778. The unidimensionality assumption was challenged. At-risk and pathological gamers compared to normal gamers reported longer digital media use and more emotional symptoms and hyperactivity/inattention with clinical relevance to medium effect sizes. The comparison of at-risk and pathological gamers indicated a partial distinction between the two problematic gaming groups. CONCLUSIONS: The IGDS could be shown to be an overall suitable and valid tool to identify pathological gamers in childhood and adolescence according to the DSM-5 criteria on a population level. However, the polythetic structure limits comparability with the recent ICD-11 criteria. At-risk gamers appeared as a heterogeneous group warranting more research.


Subject(s)
Behavior, Addictive , Video Games , Adolescent , Behavior, Addictive/diagnosis , Child , Cross-Sectional Studies , Factor Analysis, Statistical , Humans , Internet , Internet Addiction Disorder , Psychometrics , Reproducibility of Results
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