Child video game playing (“gaming”) may lead to decreased child academic motivation. Conversely, children with low academic motivation may seek fulfillment through gaming. We examined bidirectional associations between child gaming and academic motivation across middle childhood.

Our analyses are based on 1,631 children (boys = 785) followed in the context of the Quebec Longitudinal Study of Child Development. Data on gaming and academic motivation were collected repeatedly at ages 7, 8, and 10. Measures of child gaming were parent-reported and reflect daily video game playing time. Measures of academic motivation were child self-reported and reflect enjoyment in learning mathematics, reading, and writing. To disentangle the directionality of associations, we estimated a random-intercept cross-lagged panel model to estimate bidirectional, within-person associations between gaming and academic motivation in a cohort of school-aged Canadian children.

Our results revealed unidirectional associations whereby more frequent gaming by boys at age 7 years predicted lower academic motivation at age 8 years (β = −.11, 95% confidence interval [CI]: −.22 to −.01), and similarly, gaming by boys at age 8 years predicted lower academic motivation at age 10 years (β = −.10, 95% CI: −.19 to −.01). Changes in boys’ academic motivation did not contribute to subsequent changes in gaming. There were no associations between gaming and academic motivation for girls.

More time devoted to gaming among school-aged boys is associated with reduced academic motivation during a critical developmental period for the development of academic skills. Fostering healthy gaming habits may help promote academic motivation and success.

Individuals who play video games on computers and cellphones may have better psychomotor skills. It is unknown whether simulated driving performance varies between individuals who play video games more per week compared to individuals who play less. This study investigates whether initial simulated driving performance differs between high and low gamers during a brief (e.g., 10 minutes) driving simulation.

Data for this study were collected at baseline during enrollment for a randomized clinical trial (n = 40). Participants playing video games for > 10 hours/week were categorized as the high gaming group; others were in the low gaming group. Each participant drove the same simulation on the STISIM M1000 simulator, which recorded various driving performance metrics (e.g., driving out of lane and time to initial collision). Data between the groups were compared using Cox proportional hazards and analysis of covariance regression models.

The average age of participants was 21 ± 2.7 years and 48% were male. After adjusting for age, sex, and miles driven per week, the high gaming group spent a mean 4% less time driving out of lane compared to the low gaming group (β = –4.03, SD = 1.32, p ≤ 0.05). No other differences were observed between groups for any other outcome.

With the exception of percentage time driving out of lane, the number of hours gaming per week does not seem to impact an individual’s initial driving performance on a driving simulator. These findings may inform future driving simulation research methodology.

Prolonged exposure to Video games may have several negative cognitive and emotional consequences.However, a few investigations have explored the effects of video games addiction on sleep.

To study the effects of gaming addiction on sleep patterns in young adults

We conducted a cross-sectional, descriptive and analytical study.Data were collected using a self-administered questionnaire on social networks targeting young adults between 18–40 years. We used the gaming addiction scale (GAS) in its validated Arabic short version. We also used the validated Arabic version of the Pittsburgh Sleep Quality Index (PSQI) to assess the sleep quality of our participants.

One hundred and nine participants were included. The mean age was 29.6 ± 10.3. Males accounted for 60.6% of the study population. The mean Gas score was 13.11± 6.08.According to the GAS,25.7% were addicted gamers. The mean PSQI score was 7.25± 3.15. A poor sleep quality pattern (score > 6) was found in 59.6% of the participants. We found that the GAS score was significantly correlated to the total score of PSQI( P=0.003). We also found that the group with poor sleep quality had higher GAS scores (p= 0.014). We found a correlation between the GAS score and the following components of the PSQI: subjective sleep quality ( p= 0.01), sleep disturbances (p=0.024) and the use of sleep-promoting medication ( p=0.046)

Our study showed that video gaming behavior had a significant effect on sleep quality. This can have negative consequences on life quality, together with an impaired performance at awakening.

No significant relationships.

With the advancement of technology over the last years, gaming is no longer reserved to adolescents. It has become a growing phenomenon within young adults which should,’t be overlooked as it is accompanied with the risk of addiction.

To study the factors involved in video games addiction behaviors in adults

We conducted a cross-sectional, descriptive and analytical study. Data were collected using a self-administered questionnaire on social networks. We solicited adults between 18–40 years. We used the gaming addiction scale (GAS) in its validated Arabic short version.

A hundred and nine participants were included. The mean age was 29.6 ±10.3 with a sex ratio of 1.5.The mean age of the beginning of regular gaming was 16.3± 8.64. we found that40.4% of our participants preferred the mode Massively Multiplayer Online Role Playing Games (MMORPG) while others played casual single player games. A play time of over 20 hours per week was reported by 11.9%of participants. According to the GAS, 25.7%were addicted gamers. Our participants spent an average of 7.94±6.71 hours before they play their first game of the day. We found that the score of Gas was significantly correlated to the male gender of the participants (p<0.000), a higher number of weekly gaming hours (p<0.000),a lower number of hours before gaming (P<0.000) and the mode of games (p<0.000).

Our study showed that contextual factors play an important role in understanding gaming addiction in young adults as a holistic phenomenon,embedding the problematic behavior within the context of the individual the game and gaming practices.

No significant relationships.

Although gaming addiction has received a great deal of attention from researchers, few studies have evaluated its effect on health related quality of life in adults

To study the relationship between gaming addiction and perceived health status

We conducted a cross-sectional, descriptive and analytical study.Data were collected using a self-administered questionnaire on social networks targeting adults between 18 and 40 years. We used the gaming addiction scale (GAS) in its validated Arabic short version. we also used the 36-Item Short Form Health Survey questionnaire (SF-36) in its validated Arabic version

One hundred and nine participants were included. The mean age was 29.6 ±10.3. Males accounted for 60.6% of the study population. A history of anxiety or depression was found in 4.6 % of participants and 3.6% had an organic affection .The mean GAS score was 13.11± 6.08. According to this scale, 25.7% were addicted gamers. We found a significant difference between the group of participants considered addicts and those who were not in the following items: vitality (p=0.002), mental health (p=0.004) and role limitation due to emotional health (p=0.05). We found a correlation between the GAS score and role limitation due to physical problems ( p= 0.41), role limitations due to emotional problems (p=0.004 ), vitality( p=0.005) and mental health ( p= 0.001).

Our data showed significantly lower health related quality of life related to higher exposure to games especially in the psychological health.In future researches, the effect of gaming addiction on other domains of quality of life can be investigated

No significant relationships.

Gaming is a source of addiction for adolescents. It is recognized as a behavioral and mental health condition, both by the American Psychiatric Association and by the World Health Organization.

To determine the prevalence of gaming addiction among secondary school students.

This cross-sectional study was conducted between September and October of 2020 among students enrolled in secondary school. The participants had filled the Game addiction scale and a data file regarding the socio-demographic information, physical and information about the internet access and use.

The initial sample was composed of 180 secondary school students. Among them 28 were excluded because they did not play video games. Final sample consisted of 152 students (90 males, 62 females) with a mean age of 13.14 ± 1.2 years. The average duration of connection among participants was 5.3 hours per day. Nearly one quarter of the participants (24,3%) played videogames more than 20 h per week. The prevalence of gaming addiction was 21,7%. The participants with gaming addiction were, on average, younger than those who were not addicted to gaming Game-addicted individuals were more likely to be male than female (13,8% vs 7,9%; p=0,036). There was, also, a significant relation between IA and having academic difficulties (p=0.042).

Based on our study findings, that gaming addiction is a challenging problem among Tunisian adolescents. We recommend authorities consider gaming addiction a serious problem for the young population and make this growing phenomenon an adolescent health priority.

No significant relationships.

The Covid-19 outbreak has shown to negatively impact on mental health. Several anecdotical and theoretical evidences argued that lockdown measures would have increased subjective feelings of loneliness and addictions’ proneness.

In addition, preliminary data underlined a possible increase in the frequency of gaming and social media use. Increased loneliness levels are likely to account for increased gaming and social media addiction during the lockdown.

We conducted a longitudinal study administering to a sample of 154 Italian adults several self-report questionnaires at the beginning of lockdown (Time 1) and three days before the end of the lockdown (Time 2). We therefore assessed loneliness feelings, frequency of gaming and social media use as well as both gaming and social media addiction. Data were analysed using Structural Equation Modelling.

We observed that loneliness levels longitudinally predicted both gaming and social media addiction also controlling for gaming and social media use at Time 1.

Increased feelings of loneliness, a well-known risk factor for gaming and social media addiction, may be a central variable heightening vulnerability to the onset or the maintenance of technological addiction during forced social isolation. Thus, future prevention interventions may want to target this issue.