Association between Adverse Childhood Experiences and Time Spent Playing Video Games in Adolescents: Results from A-CHILD Study

The association between childhood adverse experiences and internet addiction: A meta-analysis

Many studies have explored the association between adverse childhood experiences (ACEs) and Internet addiction (IA), yet the research findings on the association between them are inconclusive. We conducted a systematic search on 7 databases to identify the relevant studies published until January 2023, and analyzed the findings from 37 studies across 12 countries involving 45,364 participants aged 8 to 67 years (51 % women). Results indicated a positive correlation (r = 0.21) was found between ACE and IA around the world, which differed among continents. It was found that all ACE subtypes were significantly associated with IA (range r = 0.16 to 0.25). Meta-regression showed a stronger association among younger individuals without moderating effects of gender or publication year. In conclusion, this study sheds light on the significant association between ACEs and IA, emphasizing the need for targeted interventions and preventive measures. Future research could delve into specific interventions aimed at mitigating the impact of ACEs on IA, such as cognitive-behavioral therapies or metacognitive therapy interventions. Additionally, investigating cultural factors that may influence this association could provide valuable insights into tailored approaches for different populations. Understanding these dynamics is crucial for developing effective strategies to address IA and its underlying factors.

Associations between adverse childhood experiences and early adolescent problematic screen use in the United States

BACKGROUND

Problematic screen use, defined as an inability to control use despite private, social, and professional life consequences, is increasingly common among adolescents and can have significant mental and physical health consequences. Adverse Childhood Experiences (ACEs) are important risk factors in the development of addictive behaviors and may play an important role in the development of problematic screen use.

METHODS

Prospective data from the Adolescent Brain Cognitive Development Study (Baseline and Year 2; 2018-2020; N = 9,673, participants who did not use screens were excluded) were analyzed in 2023. Generalized logistic mixed effects models were used to determine associations with ACEs and the presence of problematic use among adolescents who used screens based on cutoff scores. Secondary analyses used generalized linear mixed effects models to determine associations between ACEs and adolescent-reported problematic use scores of video games (Video Game Addiction Questionnaire), social media (Social Media Addiction Questionnaire), and mobile phones (Mobile Phone Involvement Questionnaire). Analyses were adjusted for potential confounders including age, sex, race/ethnicity, highest parent education, household income, adolescent anxiety, depression, and attention-deficit symptoms, study site, and participants who were twins.

RESULTS

The 9,673 screen-using adolescents ages 11-12 years old (mean age 12.0) were racially and ethnically diverse (52.9% White, 17.4% Latino/Hispanic, 19.4% Black, 5.8% Asian, 3.7% Native American, 0.9% Other). Problematic screen use rates among adolescents were identified to be 7.0% (video game), 3.5% (social media), and 21.8% (mobile phone). ACEs were associated with higher problematic video game and mobile phone use in both unadjusted and adjusted models, though problematic social media use was associated with mobile screen use in the unadjusted model only. Adolescents exposed to 4 or more ACEs experienced 3.1 times higher odds of reported problematic video game use and 1.6 times higher odds of problematic mobile phone use compared to peers with no ACEs.

CONCLUSIONS

Given the significant associations between adolescent ACE exposure and rates of problematic video and mobile phone screen use among adolescents who use screens, public health programming for trauma-exposed youth should explore video game, social media, and mobile phone use among this population and implement interventions focused on supporting healthy digital habits.

Transient and Long-Term Improvements in Cognitive Processes following Video Games: An Italian Cross-Sectional Study

The aim of the present study is to compare the short- and long-term effects of video-gaming by using the same measurements. More precisely, habitual and occasional video-gamers were compared so as to analyze the long-term effects. An ABABABA design was used to analyze the short-term effects. The first A refers to baseline measurements: Visual RT, Auditory RT, Aim trainer RT, Go/No-Go RT and N-Back RT. The first B refers to 30 min of gaming, the second A refers to the measurements used in the baseline, the second B refers to 60 min of a video game, the third A refers to the same measurements used in the baseline, the third B refers to a 30-min rest, and finally, the fourth A refers to the measurements used in the baseline. Seventy participants, twenty-nine habitual video-gamers and forty-one occasional video-gamers, participated in the study. The results showed a temporary improvement of cognitive functions (Visual RT, Auditory RT, Aim trainer RT, Go/No-Go RT and N-Back RT) in the short term and a strong enhancement of cognitive functions in the long term. The results are discussed in light of Flow Theory and the automatization process. Contribution of the study: The contribution of this research is to highlight that despite there being a transient enhancement of executive and cognitive functions through the use of mobile video games in the short-term period, with a decrease of performance after a 30-min rest, there is a strong increase of cognitive performance in the long-term period. Flow Theory and the automatization process together can explain this apparent inconsistency between the positive increase of long-term performance and the transient increase of short-term performance. One limitation of the present research is that it is not possible to distinguish whether the long-term enhancements can be attributed either to continued practice in the use of video games compared to non-gamers, or to the possibility that gamers are already predisposed to video game playing. Future research should address this issue.