| 151. | | | Classification of problematic Internet usage types by motives and contexts with elementary and secondary school-aged counseling clients
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| 152. | | | Clinical characteristics associated with problematic pornography use among individuals seeking treatment for opioid use disorder
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| 153. | | | Clinical Characteristics of Men Interested in Seeking Treatment for Use of Pornography
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| 154. | | | Clinical consensus statements on change techniques for gambling treatment: A Delphi study with clinicians
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| 155. | | | A clinical evaluation of the DSM-5 criteria for Internet Gaming Disorder and a pilot study on their applicability to further Internet-related disorders
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| 156. | | | Close-to-win evaluations are affected by the outcome and delay between stopping the wheels in slot machines
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| 157. | | | Clustering of treatment-seeking women with gambling disorder
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| 158. | | | Codependence with hypersexual and gambling disorder
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| 159. | | | Coffee, Energy Drinks Consumption and Caffeine Use Disorder Among Law Enforcement College Students in Hungary
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| 160. | | | Cognitive distortions and ADHD in pathological gambling: A national longitudinal casecontrol cohort study
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| 161. | | | Comment on: Problematic online gaming and the COVID-19 pandemic - The role of exergames
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| 162. | | | Commentary on muscle dysmorphia as an addiction: A response to Grant (2015) and Nieuwoudt (2015)
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| 163. | | | Common and differential risk factors behind suicidal behavior in patients with impulsivity-related disorders: The case of bulimic spectrum eating disorders and gambling disorder
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| 164. | | | Comorbid pathological gambling, mental health, and substance use disorders: Health-care services provision by clinician specialty
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| 165. | | | Comparative analysis of cortical anatomy in male participants with internet gaming disorder or tobacco use disorder: Insights from normative modeling
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| 166. | | | Comparing football bettors' response to social media marketing differing in bet complexity and account type - An experimental study
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| 167. | | | Comparing generalized and specific problematic smartphone/internet use: Longitudinal relationships between smartphone application-based addiction and social media addiction and psychological distress
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| 168. | | | Comparing problem gamblers with moderate-risk gamblers in a sample of university students
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| 169. | | | Comparison of brain connectivity between Internet gambling disorder and Internet gaming disorder: A preliminary study
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| 170. | | | Comparison of frontostriatal circuits in adolescent nicotine addiction and internet gaming disorder
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| 171. | | | Comparison of risk and protective factors associated with smartphone addiction and Internet addiction
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| 172. | | | A comparison of university student and community gamblers: Motivations, impulsivity, and gambling cognitions
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| 173. | | | Compliance and alternative behaviors of heavy gamers in adolescents to Chinese online gaming restriction policy
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| 174. | | | A comprehensive evaluation of the neurocognitive predictors of problematic alcohol use, eating, pornography, and internet use: A 6-month longitudinal study
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| 175. | | | A comprehensive model to understand and assess the motivational background of video game use: The Gaming Motivation Inventory (GMI)
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| 176. | | | Compulsive buying gradually increased during the first six months of the Covid-19 outbreak
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| 177. | | | Compulsive sexual behavior: A review of the literature
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| 178. | | | Compulsive sexual behaviour in Iranian married women: Prevalence, sociodemographic, sexual, and psychological predictors across-country
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| 179. | | | Compulsivity-related behavioral features of problematic usage of the internet: A scoping review of paradigms, progress, and perspectives
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| 180. | | | Computational mechanisms underlying the impact of Pavlovian bias on instrumental learning in problematic social media users
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| 181. | | | Computer playfulness, Internet dependency and their relationships with online activity types and student academic performance
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| 182. | | | Computerized cognitive training for problem gambling: A randomized controlled trial (TRAIN-online)
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| 183. | | | The concept of buying-shopping disorder: Comparing latent classes with a diagnostic approach for in-store and online shopping in a representative sample in Switzerland
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| 184. | | | The concept of "harm" in Internet gaming disorder
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| 185. | | | The concept of recovery in gaming disorder: A scoping review
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| 186. | | | The conceptual and empirical relationship between gambling, investing, and speculation
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| 187. | | | The Conceptual Framework of Harmful Gambling: A revised framework for understanding gambling harm
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| 188. | | | Conceptualizing gambling disorder with the process model of emotion regulation
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| 189. | | | Conceptualizing love addiction within the attachment perspective: A systematic review and meta-analysis
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| 190. | | | Conduct problems and depressive symptoms in association with problem gambling and gaming: A systematic review
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| 191. | | | Confidence and risky decision-making in gambling disorder
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| 192. | | | Confidence biases in problem gambling
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| 193. | | | Considering existing classic and contemporary proposals for preventing online addiction problems: Some old recipes for new problems
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| 194. | | | Construction and validation of the motives for smartphone use questionnaire
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| 195. | | | Contextualising over-engagement in work: towards a more global understanding of workaholism as an addiction
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| 196. | | | The contribution of personality factors and gender to ratings of sex addiction among men and women who use the Internet for sex purpose
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| 197. | | | The (co-)occurrence of problematic video gaming, substance use, and psychosocial problems in adolescents
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| 198. | | | Co-occurrences of substance use and other potentially addictive behaviors: Epidemiological results from the Psychological and Genetic Factors of the Addictive Behaviors (PGA) Study
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| 199. | | | Co-occurring compulsive sexual behaviour in an inpatient substance use population: Clinical correlates and influence on treatment outcomes
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| 200. | | | Co-occurring substance-related and behavioral addiction problems: A person-centered, lay epidemiology approach
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