Adolescent Aggression: A Narrative Review on the Potential Impact of Violent Video Games
Abstract
:1. Introduction
2. Method
3. Theoretical Frameworks on VVG Exposure
3.1. Social Learning Theory
3.2. General Aggression Model
4. Biological Determinants of Aggressive Behavior
4.1. Neurophysiological Correlates
4.2. The Role of the Gut Microbiome
5. Influence of VVG Exposure on Adolescent Aggressive Behavior
5.1. Social Dynamics and Mental Health
5.2. Contradictory Evidence on VVGs and Aggression
6. Discussion
7. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
Abbreviations
VVGs | violent video games |
SLT | Social Learning Theory |
GAM | General Aggression Model |
5-HT | serotonin |
SD | short day |
LD | long day |
GF | germ-free |
Ex-GF | ex-germ-free |
FMT | fecal microbiota transplantation |
RI | resident–intruder Test |
IGD | internet-gaming disorder |
CPV | child-to-parent-violence |
ORB | outcome-reporting bias |
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---|---|---|---|
Leclercq et al. (2017) | Mouse | Pregnant females were treated with either penicillin or penicillin and L. rhamnosus strain JB-1 until weaning of pups. | Penicillin exerts long-term effects on the gut microbiome in both sexes, enhancing cytokine expression in the frontal cortex, altering blood–brain barrier integrity, and modifying behavior. Mice treated with this antibiotic displayed impaired anxiety-like and social behaviors alongside increased aggression. However, concurrent supplementation with L. rhamnosus JB-1 mitigated some of these changes. |
Sylvia et al. (2017) | Siberian hamster | A broad-spectrum antibiotic was administered on a short-term basis, and effects of single versus repeated antibiotic treatment were explored. | The administration of a broad-spectrum antibiotic induces dysbiosis of the gut microbiome and has strong, sex-specific effects on aggression in rodents. Specifically, two antibiotic treatments resulted in substantial reductions in aggressive behavior in males, without affecting other social behaviors, whereas females treated with antibiotics showed a decrease in aggression after just one treatment. A correlation was found between the abundance of Mycoplasmatota (formerly Tenericutes) and Cyanobacteriota in hamsters exhibiting reduced aggressive behavior. |
Kirchoff et al. (2019) | Dog | Aggressive and non-aggressive dogs. | Differences in the beta-diversity of the gut microbiome were observed between aggressive and non-aggressive dogs, suggesting a potential link between the structure of the gut microbiome and the aggression in dogs. Notably, the relative abundances of several bacterial species, including Lactobacillus, Dorea, Blautia, Turicibacter, and Bacteroides, were altered in aggressive dogs in comparison to their non-aggressive counterparts. |
Mondo et al. (2020) | Dog | Dogs with aggressive, phobic, or normal behavior. | The relative abundances of Catenibacterium and Megamonas were higher in the gut microbiomes of dogs presenting aggressive behavior. The levels of testosterone and cortisol were not closely associated with gut microbiome dysbiosis. |
Ren et al. (2020) | Siberian hamster | Hamsters housed under either LD or SD photoperiods for 9 weeks. | SD responder females showed increased aggression. The relative abundance of members of the family Anaeroplasmataceae in females was associated with aggression. |
Jia et al. (2021) | Fly | Conventionally reared and GF flies and GF embryos with mixed bacteria. | The microbiota induced aggressive behaviors in both fly males and females. GF males showed a substantial decrease in inter-male aggression, which was reversed through microbial recolonization with Lactiplantibacillus plantarum. |
Watanabe et al. (2021) | Mouse | GF and Ex-GF mice. | Ex-GF mice with an altered gut microbiome displayed significantly lower levels of aggressive behavior compared to GF mice. When GF mice received fecal microbiota transplants from Ex-GF mice, the groups that were administered feces at 0 and 6 weeks of age showed less frequent aggressive behaviors than the GF mice. |
Cusick et al. (2022) | Siberian hamster | Four groups of pregnant females: antibiotics-only, stress-only, antibiotics and stress, and control. | Maternal antibiotic exposure modified the gut microbiomes of both male and female offspring and resulted in sex-specific effects on offspring development and aggressive behavior. Female offspring born to stressed mothers exhibited higher aggression compared to other females. However, female offspring from mothers exposed to the combined treatment displayed lower aggression levels, while no such effect was observed for male offspring, suggesting that changes in the maternal gut microbiome reduced the impact of prenatal stress in a sex-specific manner. |
Grinberg et al. (2022) | Fly | Flies grown on media supplemented with a mixture of antibiotics, specifically tetracycline, rifampicin, and streptomycin (Abx). Levilactobacillus brevis-monocolonized flies, L. plantarum monocolonized flies, or untreated flies (control). | Male flies treated with Abx displayed significantly more aggressive behavior. Additionally, these flies showed elevated levels of cVA and (Z)-9 Tricosene, pheromones linked to aggression in flies, along with higher expression of the associated pheromone receptors and transporters. Supplementation with L. plantarum or L. brevis reduced aggression compared to the Abx-treated flies. |
Shor et al. (2022) | Siberian hamster | Hamsters were randomly assigned to four treatment groups: hamsters housed under LD conditions, which received FMT from an SD donor; hamsters housed under SD conditions that received FMT from an LD donor; hamsters housed under LD conditions that received FMT from an LD donor; and hamsters housed under SD conditions that received FMT from an SD donor. | Seasonal variations in the gut microbiome influence seasonal changes in aggressive behavior. FMT from LD hamsters administered to SD hamsters led to a reversal of seasonal aggression, with SD hamsters exhibiting aggression levels characteristic of LD hamsters. Additionally, there were correlations between aggression and various bacterial taxa, such as Muribaculum, Desulfovibrio, and candidatus Saccharibacteria. |
Uzan-Yulzari et al. (2024) | Mouse | Comparison of behavior profiles of control, GF, and antibiotic-treated mice, as well as re-colonized GF mice, to understand the impact of the gut microbiome on aggression. | The results showed a connection between gut microbiome depletion and enhanced aggressive behavior, accompanied by substantial changes in urine metabolite profiles and brain gene expression. FMT from infants exposed to antibiotics (ciprofloxacin, metronidazole, and vancomycin) in early life (and sampled one month later) into mice resulted in increased aggressive behavior in comparison to mice that received FMT from unexposed infants. |
Voulgari-Kokota et al. (2024) | Mouse | To investigate if the mice’s microbiomes would change as a consequence of the developed coping strategy, fecal samples were collected before and after an RI test. | The relative abundances of Ruminococcaceae UCG-5 and the Gram-negative bacterium cTPY-13 in rats sampled prior to the RI test showed a negative correlation with aggression. Following the RI test, various bacterial taxa were linked to distinct coping strategies, with Clostridium sensu stricto 1 being strongly associated with less aggressive rats and higher abundances of Bifidobacterium. Additionally, the Lachnospiraceae family was not only correlated with increased aggression but also identified as the main contributor of betaine reductase, an enzyme responsible for catalyzing betaine production, which was found to be elevated in more aggressive rats. Given that betaine is associated with higher energy levels and testosterone production, this could provide a mechanistic explanation for the connection between Lachnospiraceae and aggression. |
Reference | Participants | Context/Design | Main Findings |
---|---|---|---|
Salih et al. (2020) | N = 303 (24.1% female; 75.9% male). Age range: 4–17 years old. | Saudi Arabia. Cross-sectional, quantitative study. | Frequent VVG playing is associated with increased aggression, attention difficulties, hyperactivity, sleep disturbances, and negative impacts on academic performance, with adolescent males being particularly affected. |
Cote et al. (2021) | N = 2722 (30.01% female; 69.99% male). Mean age: 14.36 years old. | The United States. Longitudinal, quantitative study. | Parental restrictions on VVG playing were significantly associated with reduced combative behavior among adolescents. Authoritative parenting styles, characterized by warmth and supervision, were linked to lower levels of fighting compared to other styles. |
Felemban et al. (2021) | N = 203 (43.8% female; 56.2% male) Age range: 7–12 years old. | Saudi Arabia. Cross-sectional, quantitative study. | A substantial proportion of children showed a preference for VVGs, with many of them exhibiting frustration, aggression, and mood changes, and even considering replicating game actions in real life. |
Goldstick et al. (2021) | N = 409 (59.9% female; 40.1% male) Age range: 14–20 years old. | The United States. Cross-sectional, quantitative study. | Significant gender differences were observed in the association between video-gaming frequency and severe aggression, with large positive effects for females and no significant effects for males. This trend was consistent regardless of whether participants preferred VVG genres. |
Ruiz-Fernández et al. (2021) | N = 916 (47.3% female; 52.7% male). Mean age: 15.26 years old. | Spain. Cross-sectional, quantitative study. | Exposure to VVGs was related to lower rates of CPV against both parents. However, higher engagement levels, particularly with respect to the “flow” dimension of engagement, were positively correlated with CPV against the mother and father, suggesting that while VVG consumption may reduce CPV overall, increased engagement can offset this effect. |
Verheijen et al. (2021) | N = 796 (49% female; 51% male) Mean age: 12.6 years old. | The Netherlands. Longitudinal, quantitative study. | Adolescents formed friendships based on similar aggression levels and VVG exposure, but peer influence did not increase individual aggression. This suggests that concerns over peer-driven VVG exposure leading to aggression may be overstated. |
Zhang et al. (2021) | N = 192 (50% female; 50% male). Mean age: 12 years old. | China. Cross-sectional, quantitative study. | Children who actively played a VVG displayed higher levels of aggressive cognition and behavior than those who observed the game. This effect was more pronounced among boys in the violent gameplay condition. Aggressive cognition partially mediated the effect of VVGs on aggressive behaviors. |
Zhao et al. (2021) | N = 2095 (48.9% female; 51.1% male). Mean age: 11.12 years old. | China. Cross-sectional, quantitative study. | Anger and moral disengagement are significant mediators in the relationship between VVG exposure and both proactive and reactive aggression, while cognitive impulsivity only mediated reactive aggression. |
Akel et al. (2022) | N = 388 (100% male). Age range: 13–17 years old. | Lebanon. Cross-sectional, quantitative study. | Insecure attachment styles were associated with higher engagement in VVGs. Specifically, a dismissive attachment style was linked to less violent gaming, while a fearful attachment style was associated with more violent gaming, which may suggest a potential connection between insecure attachment and aggression-related behaviors. |
Ferguson et al. (2022) | N = 305 (66.9% female; 33.1% male). Mean age: 19.32 years old. | The United States. Cross-sectional, quantitative study. | Variations in video game difficulty can increase hostility, while violent content does not affect hostility or aggressive behavior. These results partially support frustration theory but challenge the idea that VVG content leads to increased aggression. |
van Heyst et al. (2022) | N = 58 (50% female; 50% male). Mean age: 25.88 years old. | Australia. Cross-sectional, quantitative study. | Playing a VVG increased visual attention towards weapons, with notable sex differences emerging, indicating that men may be more susceptible to the cognitive-behavioral effects of VVGs. Both genders showed decreased attention to non-weapon items after playing the VVG, suggesting that violent gaming may alter visual search dynamics. |
Ybarra et al. (2022) | N = 1586 (50% female; 50% male). Age range: 10–15 years old. | The United States. Longitudinal, quantitative study. | Higher exposure to violent media in youth, especially in video games, music, and television, was associated with an increased risk of serious violent behavior in adolescence and adulthood. |
Miedzobrodzka et al. (2023) | N = 56 (100% male). Age range: 12–16 years old. | The Netherlands. Cross sectional, quantitative study. | Habitual exposure to VVGs did not significantly affect the empathy of adolescents with respect to pain. While violent gameplay temporarily decreased empathetic responses, a strong pain response persisted afterward, which suggests that diminished empathy could be linked to increased aggression. |
X. Deng et al. (2024) | N = 9214 (54.17% female; 45.83% male). Mean age: 15.8 years old. | China. Cross-sectional, quantitative study. | There were significant associations between IGD symptoms and factors such as male gender, gaming frequency, and exposure to VVGs. Those in the high-levels-of-gaming group displayed the most severe IGD symptoms, alongside heightened psychological distress and aggression, while casual gamers reported fewer psychological issues. Furthermore, younger age and severe IGD symptoms were associated with increased aggression. |
Lacko et al. (2024) | N = 3010 (49% female; 51% male). Age range: 11–18 years old. | Czech Republic. Longitudinal, quantitative study. | There was a positive correlation between VVG exposure and levels of cognitive empathy, verbal aggression, and physical aggression among adolescents, with boys showing higher exposure than girls. However, within-person analyses revealed that increased VVG exposure did not change aggression or empathy levels. Instead, adolescents with rising affective empathy tended to reduce their exposure, while those with increased physical aggression consumed more VVGs. |
Wagener et al. (2024) | N = 54 (100% male). Mean age: 24.48 years old. | Luxembourg and Germany. Cross-sectional, quantitative study. | In the VVG condition, participants showed a significant decrease in cortisol levels over time, with higher Machiavellianism scores correlating with a stronger decrease. Conversely, in the non-violent condition, higher Machiavellianism was associated with increased cortisol levels. No significant effects on implicit aggressive cognition were observed, indicating that VVG exposure does not necessarily lead to increased aggression. |
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Borrego-Ruiz, A.; Borrego, J.J. Adolescent Aggression: A Narrative Review on the Potential Impact of Violent Video Games. Psychol. Int. 2025, 7, 12. https://doi.org/10.3390/psycholint7010012
Borrego-Ruiz A, Borrego JJ. Adolescent Aggression: A Narrative Review on the Potential Impact of Violent Video Games. Psychology International. 2025; 7(1):12. https://doi.org/10.3390/psycholint7010012
Chicago/Turabian StyleBorrego-Ruiz, Alejandro, and Juan J. Borrego. 2025. "Adolescent Aggression: A Narrative Review on the Potential Impact of Violent Video Games" Psychology International 7, no. 1: 12. https://doi.org/10.3390/psycholint7010012
APA StyleBorrego-Ruiz, A., & Borrego, J. J. (2025). Adolescent Aggression: A Narrative Review on the Potential Impact of Violent Video Games. Psychology International, 7(1), 12. https://doi.org/10.3390/psycholint7010012