| 601. | | | Potentially addictive behaviours increase during the first six months of the Covid-19 pandemic
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| 602. | | | Precise estimates of gaming-related harm should guide regulation of gaming : Commentary on: Policy responses to problematic video game use: A systematic review of current measures and future possib...
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| 603. | | | Predicting Facebook addiction and state anxiety without Facebook by gender, trait anxiety, Facebook intensity, and different Facebook activities
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| 604. | | | Predictive utility of the brief Screener for Substance and Behavioral Addictions for identifying self-attributed problems
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| 605. | | | Predictors and patterns of problematic Internet game use using a decision tree model
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| 606. | | | Predictors of excessive use of social media and excessive online gaming in Czech teenagers
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| 607. | | | Prefrontal cortical activation in Internet Gaming Disorder Scale high scorers during actual real-time internet gaming: A preliminary study using fNIRS
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| 608. | | | A preliminary investigation into the prevalence and prediction of problematic cell phone use
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| 609. | | | A preliminary investigation of materialism and impulsiveness as predictors of technological addictions among young adults
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| 610. | | | A Preliminary Study of DBH (Encoding Dopamine Beta-Hydroxylase) Genetic Variation and Neural Correlates of Emotional and Motivational Processing in Individuals With and Without Pathological Gambling
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| 611. | | | Prerequisites for stakeholder framework: Consumer advocacy and health protection in the digital industry
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| 612. | | | Prevalence and associated factors of Internet gaming disorder among community dwelling adults in Macao, China
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| 613. | | | Prevalence and clinical phenotypes of adult patients with attention deficit hyperactivity disorder and comorbid behavioral addictions
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| 614. | | | Prevalence and co-occurrence of addictive behaviors among former alternative high school youth
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| 615. | | | Prevalence and co-occurrence of addictive behaviors among former alternative high school youth: A longitudinal follow-up study
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| 616. | | | Prevalence of celebrity worship: Development and application of the short version of the Celebrity Attitude Scale (CAS-7) on a large-scale representative sample
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| 617. | | | The prevalence of gambling problems in prison populations: A systematic review and meta-analysis
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| 618. | | | Prevalence of gambling-related harm provides evidence for the prevention paradox
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| 619. | | | Prevalence of gaming disorder in East Asia: A comprehensive meta-analysis
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| 620. | | | Prevalence of Internet addiction disorder in Chinese university students: A comprehensive meta-analysis of observational studies
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| 621. | | | Prevalence of internet addiction in Africa: A systematic review and meta-analysis
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| 622. | | | The prevalence of loyalty program use and its association with higher risk gambling in Australia
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| 623. | | | Prevalence, risk factors, and psychosocial adjustment of problematic gambling in adolescents: Results from two representative German samples
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| 624. | | | Prevention of Internet addiction: A systematic review
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| 625. | | | The prevention paradox applies to some but not all gambling harms: Results from a Finnish population-representative survey
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| 626. | | | Prevention paradox logic and problem gambling: Does low-risk gambling impose a greater burden of harm than high-risk gambling?
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| 627. | | | Proactive coping and gambling disorder among young men
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| 628. | | | Problem gambling among Czech adolescents: An exploration of its relationship to early initiation of tobacco smoking
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| 629. | | | Problem gambling and family violence: Findings from a population-representative study
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| 630. | | | Problem gambling and substance use in patients attending community mental health services
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| 631. | | | Problem gambling worldwide: An update and systematic review of empirical research (2000-2015)
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| 632. | | | Problem gaming-related harm experienced by partners and parents of individuals with gaming problems and their help-seeking experiences
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| 633. | | | Problematic digital gaming behavior and its relation to the psychological, social and physical health of Finnish adolescents and young adults
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| 634. | | | Problematic Internet use among residential college students during the COVID-19 lockdown: A social network analysis approach
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| 635. | | | Problematic Internet use and physical health
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| 636. | | | Problematic Internet use, excessive alcohol consumption, their comorbidity and cardiovascular and cortisol reactions to acute psychological stress in a student population
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| 637. | | | Problematic Internet Use in early adolescence: The role of attachment and negative beliefs about worry
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| 638. | | | Problematic Internet use, mental health and impulse control in an online survey of adults
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| 639. | | | Problematic internet-related behaviors mediate the associations between levels of internet engagement and distress among schoolchildren during COVID-19 lockdown: A longitudinal structural equation ...
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| 640. | | | Problematic online gambling among adolescents: A systematic review about prevalence and related measurement issues
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| 641. | | | Problematic online gaming and the COVID-19 pandemic
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| 642. | | | Problematic overstudying: Studyholism or study addiction?: Commentary on: Ten myths about work addiction (Griffiths et al., 2018)
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| 643. | | | Problematic risk-taking involving emerging technologies: A stakeholder framework to minimize harms
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| 644. | | | Problematic shopping and self-injurious behaviors in adolescents
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| 645. | | | Problematic smartphone use and academic achievement: A systematic review and meta-analysis
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| 646. | | | Problematic smartphone use associated with greater alcohol consumption, mental health issues, poorer academic performance, and impulsivity
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| 647. | | | Problematic smartphone use in young Swiss men: Its association with problematic substance use and risk factors derived from the pathway model
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| 648. | | | Problematic smartphone use, nature connectedness, and anxiety
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| 649. | | | Problematic social media use is associated with the evaluation of both risk and ambiguity during decision making
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| 650. | | | Problematic use of digital media in children and adolescents with a diagnosis of attention-deficit/hyperactivity disorder compared to controls. A meta-analysis
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