| 851. | | | Ranking of addiction journals in eight widely used impact metrics
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| 852. | | | Reach for your cell phone at your own risk: The cognitive costs of media choice for breaks
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| 853. | | | Recommendations for increasing research on co-occurring serious mental illness and gambling problems: Commentary on: Disordered gambling and psychosis: Prevalence and clinical correlates (Cassetta ...
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| 854. | | | Reconsidering item response categories in gaming disorder symptoms measurement
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| 855. | | | Red box, green box: A self-report behavioral frequency measurement approach for behavioral addictions research
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| 856. | | | Redefining object attachment: Development and validation of a new scale
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| 857. | | | Reduced loss aversion in value-based decision-making and edge-centric functional connectivity in patients with internet gaming disorder
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| 858. | | | Reducing problematic pornography use with imaginal retraining-A randomized controlled trial
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| 859. | | | Reflexiók Az addiktológiai pszichológia Magyarországon: az elmúlt 30 év áttekintése című tanulmányra
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| 860. | | | Regional brain activity of resting-state fMRI and auditory oddball ERP with multimodal approach in individuals with internet gaming disorder
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| 861. | | | Relapse in pathological gamblers: a pilot study on the predictive value of different impulsivity measures
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| 862. | | | The relationship between adolescent emotion dysregulation and problematic technology use: Systematic review of the empirical literature
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| 863. | | | Relationship between adverse childhood experiences and problematic internet use among young adults: The role of the feeling of loneliness trajectory
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| 864. | | | Relationship between attention-deficit hyperactivity disorder symptoms and problem gambling: A mediation analysis of influential factors among 7,403 individuals from the UK
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| 865. | | | Relationship between borderline personality symptoms and Internet addiction: The mediating effects of mental health problems
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| 866. | | | The relationship between childhood trauma and internet addiction in adolescents: A meta-analysis
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| 867. | | | The relationship between childhood trauma and Internet gaming disorder among college students: A structural equation model
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| 868. | | | Relationship between family history of alcohol addiction, parents' education level, and smartphone problem use scale scores
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| 869. | | | Relationship between Internet addiction, susceptible personality traits, and suicidal and self-harm ideation in Chinese adolescent students
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| 870. | | | The relationship between parenting styles and adolescent problematic Internet use: A three-level meta-analysis
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| 871. | | | Relationship between problematic Internet use and age at initial weekly Internet use
|
| 872. | | | The relationship between second-to-fourth digit (2D:4D) ratios and problematic and pathological Internet use among Turkish university students
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| 873. | | | Relationship between smartphone addiction and physical activity in Chinese international students in Korea
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| 874. | | | The relationship between study addiction and work addiction: A cross-cultural longitudinal study
|
| 875. | | | The relationship between the skill-challenge balance, game expertise, flow and the urge to keep playing complex mobile games
|
| 876. | | | The relationship between trait mindfulness and problematic usage of the internet, screen time, and nomophobia: A systematic review and meta-analysis
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| 877. | | | Relationship of gambling disorder with traumatic life events and emotion regulation in adolescents and young adults
|
| 878. | | | The relationship of game genres, in-game purchases, and playing duration with probable gaming disorder in two independent, large-scale online surveys of Japanese adults
|
| 879. | | | Relationship of smartphone use severity with sleep quality, depression, and anxiety in university students
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| 880. | | | Relationships between addictive Facebook use, depressiveness, insomnia, and positive mental health in an inpatient sample: A German longitudinal study
|
| 881. | | | The relationships between behavioral addictions and the five-factor model of personality
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| 882. | | | Relationships Between Problem-Gambling Severity and Psychopathology as Moderated by Income
|
| 883. | | | The relevance of personality traits in impulsivity-related disorders: From substance use disorders and gambling disorder to bulimia nervosa
|
| 884. | | | Religious addiction
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| 885. | | | Request-a-bet sports betting products indicate patterns of bettor preference and bookmaker profits
|
| 886. | | | Research priorities in gambling: Findings of a large-scale expert study
|
| 887. | | | Reserve your judgment on "Draconian" Chinese video gaming restrictions on children : Commentary on: Draconian policy measures are unlikely to prevent disordered gaming (Colder Carras et al., 2021)
|
| 888. | | | Response trajectories of gambling severity after cognitive behavioral therapy in young-adult pathological gamblers
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| 889. | | | Resting-state EEG activity related to impulsivity in gambling disorder
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| 890. | | | Restless minds, restless nights: A 2-wave preliminary study on the associations between sleep quality, negative metacognitions and Problematic Smartphone Use
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| 891. | | | Rethinking cutoff values for the South Oaks Gambling Screen: Sex-specific insights and DSM-5 severity adjustments in Gambling Disorder assessment
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| 892. | | | Retrospective and prospective assessments of gambling-related behaviors across the female menstrual cycle
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| 893. | | | Reward and punishment sensitivity in women with gambling disorder or compulsive buying: Implications in treatment outcome
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| 894. | | | Reward reactivity and dark flow in slot-machine gambling: "Light" and "dark" routes to enjoyment
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| 895. | | | Risk factors and outcomes of internet gaming disorder identified in Korean prospective adolescent cohort study
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| 896. | | | Risk for exercise dependence, eating disorder pathology, alcohol use disorder and addictive behaviors among clients of fitness centers
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| 897. | | | Risk reduction and harm prevention in technology use
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| 898. | | | Risk-taking and decision-making in youth: Relationships to addiction vulnerability
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| 899. | | | Risky online behaviors among adolescents: Longitudinal relations among problematic Internet use, cyberbullying perpetration, and meeting strangers online
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| 900. | | | Risky online buying-shopping behavior: The role of stress responsivity on the transfer from goal-directed behavior to stimulus-response habits
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