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Direct linkZhou, Nan; Cao, Hongjian; Liu, Fenge; Wu, Lulu; Liang, Yue; Xu, Jianjie; Meng, Haoran; Zang, Ning; Hao, Ruining; An, Ye; Ma, Shanshan; Fang, Xiaoyi; Zhang, Jintao – Developmental Psychology, 2020
Based on 4 annual waves of data from a large sample of Chinese college students (N = 2,329, M[subscript age] = 18.40 years old, SD = 0.85; 63.10% females), this study examines the within-person and between-person effects in the association between problematic Internet use (PIU) and mental health issues. Results of analyses using the developmental…
Descriptors: Foreign Countries, Internet, Mental Disorders, Behavior Problems
Jacques, Debrielle T.; Sturge-Apple, Melissa L.; Davies, Patrick T.; Cicchetti, Dante – Developmental Psychology, 2021
Prior work suggests that substance-dependent mothers insensitively respond to their child's emotional needs, which can increase children's risk for psychopathology. However, the mechanisms and processes underlying these associations remain unclarified. Mothers' insensitivity to children's distress is an especially unique predictor of child…
Descriptors: Alcohol Abuse, Addictive Behavior, Mothers, Parent Child Relationship
Coyne, Sarah M.; Stockdale, Laura A.; Warburton, Wayne; Gentile, Douglas A.; Yang, Chongming; Merrill, Brett M. – Developmental Psychology, 2020
The aim of this study was to examine trajectories of pathological video game symptoms over a 6-year period from adolescence to emerging adulthood. We also examined a number of predictors and outcomes for different trajectories. Participants included 385 adolescents (M age = 15.01 at the initial time point) who completed multiple questionnaires…
Descriptors: Video Games, Adolescents, Young Adults, Predictor Variables
Defoe, Ivy N.; Semon Dubas, Judith; Somerville, Leah H.; Lugtig, Peter; van Aken, Marcel A. G. – Developmental Psychology, 2016
Adolescence is a vulnerable period for the initiation and peak of many harmful risk-taking behaviors such as smoking, which is among the most addictive and deadliest behaviors. Generic metatheories like the theory of triadic influence (TTI) suggest that interrelated risk factors across multiple domains (i.e., intrapersonal and…
Descriptors: Adolescents, Smoking, At Risk Persons, Addictive Behavior
Smahel, David; Brown, B. Bradford; Blinka, Lukas – Developmental Psychology, 2012
The past decades have witnessed a dramatic increase in the number of youths using the Internet, especially for communicating with peers. Online activity can widen and strengthen the social networks of adolescents and emerging adults (Subrahmanyam & Smahel, 2011), but it also increases the risk of Internet addiction. Using a framework derived from…
Descriptors: Internet, Addictive Behavior, Friendship, Adolescents
Gentile, Douglas A.; Berch, Olivia N.; Choo, Hyekyung; Khoo, Angeline; Walsh, David A. – Developmental Psychology, 2017
Mass media have numerous effects on children, ranging from influencing school performance to increased or reduced aggression. What we do not know, however, is how media availability in the bedroom moderates these effects. Although several researchers have suggested that bedroom media may influence outcomes by displacing other activities (the…
Descriptors: Mass Media Effects, Family Environment, Hypothesis Testing, Age Differences
Eiden, Rina D.; Lessard, Jared; Colder, Craig R.; Livingston, Jennifer; Casey, Meghan; Leonard, Kenneth E. – Developmental Psychology, 2016
A developmental cascade model for adolescent substance use beginning in infancy was examined in a sample of children with alcoholic and nonalcoholic parents. The model examined the role of parents' alcohol diagnoses, depression and antisocial behavior in a cascading process of risk via 3 major hypothesized pathways: first, via parental…
Descriptors: Substance Abuse, Developmental Stages, Child Development, Adolescent Development
Epstein, Marina; Hill, Karl G.; Bailey, Jennifer A.; Hawkins, J. David – Developmental Psychology, 2013
Previous research has shown that the development of alcohol and tobacco dependence is linked and that both are influenced by environmental and intrapersonal factors, many of which likely interact over the life course. The present study examines the effects of general and alcohol- and tobacco-specific environmental influences in the family of…
Descriptors: Predictor Variables, Smoking, Behavior Problems, Adolescents
