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310,541 result(s) for "ADDICTION"
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Technological Addictions
Technological Addictions is a wakeup call alerting the medical community—and society at large—to the addictive potential of technology and to technological addictions as legitimate psychiatric conditions worthy of medical assessment, diagnosis, and treatment. No other book tackles these addictions, individually and collectively, contextualizing them for both mental health professionals and the interested public. Petros Levounis, an authority on addiction who's been an early voice on the intersection of addiction and technology, and James Sherer are uniquely well-suited to the task, and they have recruited an impressive list of contributors who write thoughtfully, eloquently, and authoritatively on their respective topics. The 10 chapters address the different kinds of technological addiction, as well as how they manifest and impact particular populations. Core to this discussion is the fine line between addictive and nonpathological use. After all, technology makes modern life possible, so assessing whether patients have crossed that line is not an easy task. Other noteworthy topics • In 2019, \"gaming disorder\" was added to the ICD-11, a controversial move raised a difficult question: are video games addictive and harmful, or are they just another pastime? The book helps clinicians understand video games as a cultural phenomenon, analyzing both their social importance and with their addictive potential.• Cybersex and online pornography can hijack our dopaminergic reward pathways like any other addictive substance, destroying relationships, bank accounts, and mental health. The book provides a brief history followed by a discussion of diagnostic criteria, screening tools, associations, and treatments.• Although seemingly harmless, even social media can become addictive, as people create online personae that may confuse and undermine both their sense of self and their sense of connectedness to the world, leading to anxiety, depression, impulsivity, and ADHD. The book helps readers distinguish between healthy and pathological social media use and explores treatment options for the latter. • Technology is an integral factor in what has become known as \"information overload, \" which is associated with decreased performance and job satisfaction, work-related stress, social isolation, impaired sleep, relationship issues, and other problems. The book examines the underlying psychology of internet addiction and problematic internet use, their comorbidities, psychopathological models, and treatments. • Significantly older when first introduced to the internet, older adults may face unique challenges and vulnerabilities, and this evolving understanding of the role of technology in their lives, both in terms of positive changes and the risk for pathological patterns of use and other potential harms, is explored in-depth. Although written primarily for psychiatrists and other mental health professionals, patients, parents, teachers, students, administrators, and anyone who is interested in how humans interact with technology will find Technological Addictions fascinating and thought provoking.
Estimation of Behavioral Addiction Prevalence During COVID-19 Pandemic: A Systematic Review and Meta-analysis
Purpose of Review The COVID-19 pandemic changed people’s lifestyles and such changed lifestyles included the potential of increasing addictive behaviors. The present systematic review and meta-analysis aimed to estimate the prevalence of different behavioral addictions (i.e., internet addiction, smartphone addiction, gaming addiction, social media addiction, food addiction, exercise addiction, gambling addiction, and shopping addiction) both overall and separately. Recent Findings Four databases ( PubMed , Scopus, ISI Web of Knowledge , and ProQuest ) were searched. Peer-reviewed papers published in English between December 2019 and July 2022 were reviewed and analyzed. Search terms were selected using PECO-S criteria: population (no limitation in participants’ characteristics), exposure (COVID-19 pandemic), comparison (healthy populations), outcome (frequency or prevalence of behavioral addiction), and study design (observational study). A total of 94 studies with 237,657 participants from 40 different countries (mean age 25.02 years; 57.41% females). The overall prevalence of behavioral addiction irrespective of addiction type (after correcting for publication bias) was 11.1% (95% CI : 5.4 to 16.8%). The prevalence rates for each separate behavioral addiction (after correcting for publication bias) were 10.6% for internet addiction, 30.7% for smartphone addiction, 5.3% for gaming addiction, 15.1% for social media addiction, 21% for food addiction, 9.4% for sex addiction, 7% for exercise addiction, 7.2% for gambling addiction, and 7.2% for shopping addiction. In the lockdown periods, prevalence of food addiction, gaming addiction, and social media addiction was higher compared to non-lockdown periods. Smartphone and social media addiction was associated with methodological quality of studies (i.e., the higher the risk of boas, the higher the prevalence rate). Other associated factors of social media addiction were the percentage of female participants, mean age of participants, percentage of individuals using the internet in country, and developing status of country. The percentage of individuals in the population using the internet was associated with all the prevalence of behavioral addiction overall and the prevalence of sex addiction and gambling addiction. Gaming addiction prevalence was associated with data collection method (online vs. other methods) that is gaming addiction prevalence was much lower using online methods to collect the data. Summary Behavioral addictions appeared to be potential health issues during the COVID-19 pandemic. Healthcare providers and government authorities should foster some campaigns that assist people in coping with stress during COVID-19 pandemics to prevent them from developing behavioral addictions during COVID-19 and subsequent pandemics.
What Is the Evidence for “Food Addiction?” A Systematic Review
The diagnostic construct of “food addiction” is a highly controversial subject. The current systematic review is the first to evaluate empirical studies examining the construct of “food addiction” in humans and animals. Studies were included if they were quantitative, peer-reviewed, and in the English language. The 52 identified studies (35 articles) were qualitatively assessed to determine the extent to which their findings indicated the following addiction characteristics in relation to food: brain reward dysfunction, preoccupation, risky use, impaired control, tolerance/withdrawal, social impairment, chronicity, and relapse. Each pre-defined criterion was supported by at least one study. Brain reward dysfunction and impaired control were supported by the largest number of studies (n = 21 and n = 12, respectively); whereas risky use was supported by the fewest (n = 1). Overall, findings support food addiction as a unique construct consistent with criteria for other substance use disorder diagnoses. The evidence further suggests that certain foods, particularly processed foods with added sweeteners and fats, demonstrate the greatest addictive potential. Though both behavioral and substance-related factors are implicated in the addictive process, symptoms appear to better fit criteria for substance use disorder than behavioral addiction. Future research should explore social/role impairment, preoccupation, and risky use associated with food addiction and evaluate potential interventions for prevention and treatment.
Definition of Substance and Non-substance Addiction
Substance addiction (or drug addiction) is a neuropsychiatric disorder characterized by a recurring desire to continue taking the drug despite harmful consequences. Non-substance addiction (or behavioral addiction) covers pathological gambling, food addiction, internet addiction, and mobile phone addiction. Their definition is similar to drug addiction but they differ from each other in specific domains. This review aims to provide a brief overview of past and current definitions of substance and non-substance addiction, and also touches on the topic of diagnosing drug addiction and non-drug addiction, ultimately aiming to further the understanding of the key concepts needed for a foundation to study the biological and psychological underpinnings of addiction disorders.
Neuroanatomical and functional substrates of the short video addiction and its association with brain transcriptomic and cellular architecture
•Dispositional envy was associated with SVA.•SVA was positively correlated with GMV in OFC and cerebellum.•SVA exhibited specific transcriptomic and cellular signatures. Short video addiction (SVA) has emerged as a growing behavioral and social issue, driven by the widespread use of digital platforms that provide highly engaging, personalized, and brief video content. We investigated the neuroanatomical and functional substrates of SVA symptoms, alongside brain transcriptomic and cellular characteristics, using Inter-Subject Representational Similarity Analysis (IS-RSA) and transcriptomic approaches. Behaviorally, we found that dispositional envy was associated with SVA. Structurally, SVA was positively correlated with increased morphological volumes in the orbitofrontal cortex (OFC) and bilateral cerebellum. Functionally, the dorsolateral prefrontal cortex (DLPFC), posterior cingulate cortex (PCC), cerebellum, and temporal pole (TP) exhibited heightened spontaneous activity, which was positively correlated with SVA severity. Transcriptomic and cellular analyses also showed specific genes linked to gray matter volume (GMV) associated with SVA, with predominant expression in excitatory and inhibitory neurons. These genes showed distinct spatiotemporal expression patterns in the cerebellum during adolescence. This study offers a comprehensive framework integrating structural, functional, and neurochemical evidence to highlight the neural-transcriptomic underpinnings of SVA symptoms in a non-clinical population.
Revealing the Intellectual Structure and Evolution of Digital Addiction Research: An Integrated Bibliometric and Science Mapping Approach
The current study uses “digital addiction” as an umbrella term to refer to addiction to the Internet, social media, smartphones, digital devices, video games, or similar digital technologies. The study aims to investigate the scientific landscape of the digital addiction research field through combining bibliometric and science mapping analysis and to facilitate insight into the development and evolution of this knowledge base. Data for the analysis were extracted from the Scopus database, which covers a wide range of journal articles, with 429 articles addressing digital addiction included in the analysis. The science mapping analysis was performed over three consecutive time periods using SciMAT software to observe the thematic evolution. The results indicated that addictive behavior was the most significant theme across the three time periods. Cross-sectional studies addressing the risk factors or outcomes of addiction among adults and different sexes were prevalent during the first period (1997–2012), while interest moved to the addictive behavior of adolescents and students during the second period (2013–2017). Research during the third period (2018–2022) was driven by smartphone and social media addiction, and resilience as a preventive factor garnered more research interest than previously studied risk factors, which may indicate a perspective change by researchers. Implications are suggested for future investigations of digital addiction.
The dopamine motive system: implications for drug and food addiction
Key Points The motivation to eat, like the motivation to take addictive drugs, activates the forebrain dopamine systems. Excessive activation of this system strengthens the specific habits that precede the activation, sensitizing the animal's responsiveness to the specific conditions that elicit those habits. At the same time, overactivation of the dopamine system downregulates the dopamine receptors, leaving the subject less interested in other activities. The repeated intake of high-impact foods or addictive drugs thus makes food consumption or drug taking more habitual and decreases the importance of stimuli calling for alternatives. Repeated drug use erodes the function of brain networks necessary for self-regulation, thereby facilitating impulsive, inflexible and compulsive actions. The dopamine motive system, which integrates reinforcement and motivation, is influenced by obesogenic foods and addictive drugs. In this Review, Volkow and colleagues highlight how these stimuli sensitize the subject's motivation towards them while desensitizing the subject's motivation towards alternative reinforcers. Behaviours such as eating, copulating, defending oneself or taking addictive drugs begin with a motivation to initiate the behaviour. Both this motivational drive and the behaviours that follow are influenced by past and present experience with the reinforcing stimuli (such as drugs or energy-rich foods) that increase the likelihood and/or strength of the behavioural response (such as drug taking or overeating). At a cellular and circuit level, motivational drive is dependent on the concentration of extrasynaptic dopamine present in specific brain areas such as the striatum. Cues that predict a reinforcing stimulus also modulate extrasynaptic dopamine concentrations, energizing motivation. Repeated administration of the reinforcer (drugs, energy-rich foods) generates conditioned associations between the reinforcer and the predicting cues, which is accompanied by downregulated dopaminergic response to other incentives and downregulated capacity for top-down self-regulation, facilitating the emergence of impulsive and compulsive responses to food or drug cues. Thus, dopamine contributes to addiction and obesity through its differentiated roles in reinforcement, motivation and self-regulation, referred to here as the 'dopamine motive system', which, if compromised, can result in increased, habitual and inflexible responding. Thus, interventions to rebalance the dopamine motive system might have therapeutic potential for obesity and addiction.
COVID-19-Related Social Isolation Predispose to Problematic Internet and Online Video Gaming Use in Italy
COVID-19 pandemic and its related containment measures have been associated with increased levels of stress, anxiety and depression in the general population. While the use of digital media has been greatly promoted by national governments and international authorities to maintain social contacts and healthy lifestyle behaviors, its increased access may also bear the risk of inappropriate or excessive use of internet-related resources. The present study, part of the COVID Mental hEalth Trial (COMET) study, aims at investigating the possible relationship between social isolation, the use of digital resources and the development of their problematic use. A cross sectional survey was carried out to explore the prevalence of internet addiction, excessive use of social media, problematic video gaming and binge watching, during Italian phase II (May–June 2020) and III (June–September 2020) of the pandemic in 1385 individuals (62.5% female, mean age 32.5 ± 12.9) mainly living in Central Italy (52.4%). Data were stratified according to phase II/III and three groups of Italian regions (northern, central and southern). Compared to the larger COMET study, most participants exhibited significant higher levels of severe-to-extremely-severe depressive symptoms (46.3% vs. 12.4%; p < 0.01) and extremely severe anxiety symptoms (77.8% vs. 7.5%; p < 0.01). We also observed a rise in problematic internet use and excessive gaming over time. Mediation analyses revealed that COVID-19-related general psychopathology, stress, anxiety, depression and social isolation play a significant role in the emergence of problematic internet use, social media addiction and problematic video gaming. Professional gamers and younger subjects emerged as sub-populations particularly at risk of developing digital addictions. If confirmed in larger and more homogenous samples, our findings may help in shedding light on possible preventive and treatment strategies for digital addictions.