| 451. | | | Is excessive online usage a function of medium or activity?
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| 452. | | | Is smartphone addiction really an addiction?
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| 453. | | | Is the I-PACE (Interaction of Person-Affect-Cognition-Execution) model valid in South Korea? The effects of adverse childhood experiences (ACEs) on internet gaming disorder and the mediating effect...
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| 454. | | | Is there a shared neurobiology between aggression and Internet addiction disorder?
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| 455. | | | Is video gaming, or video game addiction, associated with depression, academic achievement, heavy episodic drinking, or conduct problems?
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| 456. | | | Joint effects of children's emotional problems and parental depressive symptoms on the occurrence of internet gaming disorder among children and adolescents: A longitudinal study
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| 457. | | | The landscape of open science in behavioral addiction research: Current practices and future directions
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| 458. | | | A latent profile approach for classifying internet gamers based on motives for online gaming
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| 459. | | | Lateral orbitofrontal gray matter abnormalities in subjects with problematic smartphone use
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| 460. | | | Learning and metacognition under volatility in GD: Lower learning rates and distorted coupling between action and confidence
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| 461. | | | Legacy gambling harms: What are they and how long do they last?
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| 462. | | | Life adverse experiences in relation with obesity and binge eating disorder: A systematic review
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| 463. | | | Linking parental mediation practices to adolescents' problematic online screen use: A systematic literature review
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| 464. | | | Linking temporal-parietal junction to internet addiction tendency: Moderating effect of critical thinking
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| 465. | | | The links between healthy, problematic, and addicted Internet use regarding comorbidities and self-concept-related characteristics
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| 466. | | | Longitudinal association between parental involvement and internet gaming disorder among Chinese adolescents: Consideration of future consequences as a mediator and peer victimization as a moderator
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| 467. | | | The longitudinal associations between internet addiction and ADHD symptoms among adolescents
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| 468. | | | Longitudinal associations between maladaptive daydreaming and psychological distress during the COVID-19 health crisis
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| 469. | | | Longitudinal associations between psychiatric comorbidity and the severity of gambling disorder: Results from a 36-month follow-up study of clients in Bavarian outpatient addiction care
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| 470. | | | Longitudinal modifiable risk and protective factors of internet gaming disorder: A systematic review and meta-analysis
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| 471. | | | A longitudinal study of factors explaining attitude change towards gambling among adolescents
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| 472. | | | A longitudinal study of the effects of problematic smartphone use on social functioning among people with schizophrenia: Mediating roles for sleep quality and self-stigma
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| 473. | | | Loot box purchasing is linked to problem gambling in adolescents when controlling for monetary gambling participation
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| 474. | | | Low self-control and aggression exert serial mediation between inattention/hyperactivity problems and severity of internet gaming disorder features longitudinally among adolescents
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| 475. | | | Machine learning-based analysis of adolescent gambling factors
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| 476. | | | Maladaptive daydreaming as a new form of behavioral addiction
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| 477. | | | Maladaptive perfectionism as mediator among psychological control, eating disorders, and exercise dependence symptoms in habitual exerciser
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| 478. | | | May the passion be with you: The addictive potential of collectible card games, miniatures, and dice of the Star Wars universe
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| 479. | | | Maybe you should blame your parents: Parental attachment, gender, and problematic Internet use
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| 480. | | | Measurement, prevalence, and psychological risk factors associated with addictive food consumption: Development of a new food addiction scale and evidence from a national largescale sample
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| 481. | | | Measures of behavioral function predict duration of video game play: Utilization of the Video Game Functional Assessment - Revised
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| 482. | | | Mediating effects of rumination and bedtime procrastination on the relationship between Internet addiction and poor sleep quality
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| 483. | | | The mediation role of work-life balance stress and chronic fatigue in the relationship between workaholism and depression among Chinese male workers in Hong Kong
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| 484. | | | Meditation Awareness Training for the Treatment of Sex Addiction: A Case Study
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| 485. | | | Mental and sexual health perspectives of the International Classification of Diseases (ICD-11) Compulsive Sexual Behavior Disorder : Commentary to the debate: "Behavioral addictions in the ICD-11"
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| 486. | | | Mental health professionals' use of the ICD-11 classification of impulse control disorders and behavioral addictions: An international field study
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| 487. | | | A meta-analysis of psychological interventions for Internet/smartphone addiction among adolescents
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| 488. | | | A mindful model of sexual health: A review and implications of the model for the treatment of individuals with compulsive sexual behavior disorder
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| 489. | | | Mindfulness buffers the influence of stress on cue-induced craving for Internet among Chinese colleges with problematic Internet use
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| 490. | | | Mobile and non-mobile Internet Use Disorder: Specific risks and possible shared Pavlovian conditioning processes
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| 491. | | | Mobile gaming and problematic smartphone use: A comparative study between Belgium and Finland
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| 492. | | | Mobile phone addiction and suicide behaviors among Chinese adolescents: The mediation of poor sleep quality
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| 493. | | | Modelling the contribution of metacognitions and expectancies to problematic smartphone use
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| 494. | | | The moderating effect of gender on ideal-weight goals and exercise dependence symptoms
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| 495. | | | Moderating effects of information-oriented versus escapism-oriented motivations on the relationship between psychological well-being and problematic use of video game live-streaming services
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| 496. | | | The modulation of acute stress on model-free and model-based reinforcement learning in gambling disorder
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| 497. | | | Money used in gaming is associated with problem gambling: Results of the ESPAD 2019 Finland
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| 498. | | | Mood, motives, and money: An examination of factors that differentiate online and non-online young adult gamblers
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| 499. | | | Morbid exercise behaviour and eating disorders: A meta-analysis
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| 500. | | | More stringent criteria are needed for diagnosing internet gaming disorder: Evidence from regional brain features and whole-brain functional connectivity multivariate pattern analyses
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