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Examining correlates of aggression and mediating effect of psychological distress between exposure to media violence and aggression in lebanese adults

Abstract

Background

Violent media is the most consumed type of media in Lebanon. Many studies have linked exposure to media violence to increased aggression and psychological distress. As Lebanon is going through socio-political turmoil, we aimed to [1] explore the correlates of aggression (i.e., sociodemographic factors, BMI, loneliness, social competence, and psychological distress) in a sample of Lebanese adults from the general population, and [2] to examine the mediating effect of psychological distress in the association between exposure to media violence and aggression in this sample.

Methodology

Adults were recruited through online convenience sampling. We employed scales to assess content-based media exposure (C-ME), aggression (BPAQ-SF), psychological distress (DASS-8), loneliness (JGLS), and perceived social competence (PSCS).

Results

Exposure to media violence was associated with all four aggression subtypes (verbal, physical, hostility, and anger). Psychological distress partially mediated all these associations; higher exposure to media violence was significantly associated with more psychological distress, which was significantly associated with higher levels of all types of aggression. Moreover, higher exposure to media violence was significantly associated with higher levels of all types of aggression.

Conclusion

In the sociopolitical context of Lebanon, violent media could be considered a public hazard. Psychological distress likely potentiates the association between exposure to violent media and aggression. Future research should focus on determining what components of psychological distress underpin this mediation.

Peer Review reports

Introduction

Media has become an integral part of human life, more important than clean water in the eyes of some [1]. New media devices, including cellular and online technologies, have quickly spread in the Middle East over the last years. The number of cell phone owners and Internet users has grown rapidly in the region [2]. According to Internet World Stats, the estimated number of internet users in Lebanon corresponds to an internet penetration rate of 81.8% [1], an estimate that has been steadily increasing [3]. This unprecedented media consumption has raised concerns about the impact of social media use on mental health and well-being in Lebanon, particularly in the context of the economic and political instability that the country is facing in recent years [4].

Most research on the effects of media on mental health focuses on the quantity of general media exposure [1]. However, different types of media content can have different impacts. For instance, unlike educational television, early exposure to entertainment television including violent ones predicted attentional problems in children 5 years later [5]. Moreover, media related to drug use are associated with increased willingness of adolescents to partake in these behaviors [1, 6, 7]. In a world where media is omnipresent, the question of what media is consumed is becoming far more important than how much is consumed [1].

One particularly important media type is violent media. Media violence is defined as visual portrayals of acts of physical aggression by one human against another [8]. Exposure to media violence is distinct from active aggressive behaviors towards someone through electronic forms of contact (e.g. cyberbullying) [9]. Portrayals of violence in the media are controversial with violence sometimes being pictured as socially admissible, tolerable, and a common method to manage conflicts. Violent media can originate from television and films, real-life news, and video games. All aforementioned media types are associated with aggression as it seems the media content characteristics per se (e.g. presentation, justifiability, consequences, realism, etc.), rather than the source of media, are the major determinants of the risk of violence [8].

The relationship between exposure to media violence and aggression

Aggression is an umbrella term for different psychological processes. Studies have consistently found a four-factor model in tools assessing aggression [10, 11] which they operationalized into four subtraits [12]. The first two are goal-directed behavioral components involving harming others: physical aggression and verbal aggression. The third subtrait is hostility, a cognitive component relating to injustice and ill will. The final component is anger, which is the affective nature of aggression. Due to its higher correlation with other components, anger has been proposed as the bridge between hostility (i.e. aggressive thoughts) and the behavioral components.

Most reviews and meta-analyses have reported a strong relationship between media violence and the likelihood of aggressive behavior [13,14,15,16]. Repeated exposure to media violence has been proposed to dampen aversive physiological responses of individuals, leading to a process of desensitization. This desensitization, in turn, impacts not just to screen violence but also, real-world violence [17]. Coupled with other psychological processes, media violence became a catalyst towards aggression [18]. However, some researchers disagree on whether current evidence supports the fact that media violence exposure is a risk factor for aggression [19].

Research on the association between media violence and aggression has been especially studied in children. Short-term and long-term processes have been implicated in the effects of media violence on aggression. Short-term effects include priming, arousal, and mimicry, while long-term effects involve learning and desensitization [18]. In fact, media violence can be construed as a possible public health issue, notably affecting the young. Children exposed to violent media are more likely to act aggressively and violently as adults [18]. Additionally, children put through violent media between the ages of 8 and 10 were almost twice as likely to physically abuse their spouses 15 years later [20]. Compared to adults, children are more affected by media violence in the long-term whilst short-term effects seem greater in adults [15]. It is essential to note that the association between media violence and aggressive behavior is not a causal one. Media violence is one of a multitude of factors contributing to aggressive behavior [18]. In the next section, we discuss several other individual and social factors found to be major determinants of violence and aggression.

Other correlates of aggression

Certain factors are well-established as predictive of aggression, including being young, single, male, and of low socio-economic status [21]. Lower educational attainment is also associated with aggression, likely due to aggressive behaviors themselves [22]. Additionally, the Body Mass Index (BMI) has been an inconsistent predictor of aggression risk. A meta-analysis found higher BMI predicted higher aggression in both girls and boys, although effects were marginally stronger for boys [23]. Another study found that a higher BMI predicted lower arrests [24]. One study found BMI and aggression were only correlated in females [25]. The relationship between BMI and aggressiveness is largely not understood although explanations related to serotonin function, sex hormones, physical attractiveness, and underlying psychosocial determinants have been proposed [23,24,25]. Psychosocial factors are also implicated. For instance, loneliness plays a significant role in the aggression trajectory [26, 27]. Researchers have found a significant association between loneliness and aggression [28], loneliness being a predictor of physical aggression, verbal aggression, anger and hostility [29,30,31]. Another psychosocial factor implicated in violence is social competence. Social competence, briefly defined, encompasses positive interpersonal interactions and social skills. One meta-analysis found that less social competence is associated with behavioral problems in children, including aggression [32]. Moreover, in populations with antisocial behaviors, media violence predicted aggressive outcomes [33]. Finally, higher physical activity seems to lower aggression, likely through stress and tension release [34]. This was also observed in children [35].

In addition, psychological distress has been linked to aggressive behaviors in susceptible individuals [36,37,38]. Psychological distress The association between psychological distress and aggression has been proposed to be likely due to common neuronal circuits relating to emotional regulation and social behaviors [39]. While the absolute risk of violence is low, especially in women, one study found that those with depression were more at risk for violent crimes, notably in certain subgroups [40]. Depression was found to be an independent risk factor for aggression and violence in both children and adults [40, 41]. Moreover, while different psychopathologies attribute different risk weights, all psychopathologies attribute a risk [42]. Hence, psychological distress, the core product of psychopathologies, seems to underpin a higher tendency for aggression.

Psychological distress as a possible mediator between exposure to media violence and aggression

Based on previous observations that violent media itself seems to contribute to psychological distress on one hand (e.g., [43, 44]), and the well-known association between distress and aggression on the other hand (e.g., [45]), we propose in this paper to test the mediating effect of this factor in the path from media violence exposure to aggression. Some experimental studies found that violent media raised stress levels in participants [46, 47]. In the long-term, daily violent video game playing was associated with depressive outcomes [48]. Moreover, recurrent violent media exposure was shown to fuel a cycle of psychological distress, notably in those who were subject to traumatic events [49]. In sum, violent media is associated with psychological distress in the short-term and long-term [13, 46, 47, 49] and psychological distress is an important but insufficient factor in the development of aggression [21, 42]. This opens up the question on the role of psychological distress in the very well established relationship between violent media and aggression [8]. In fact, stress, one of the three components of psychological distress, was proposed as a mediator between violent video games and aggression [46]. This type of association could possibly reflect a similar mechanism involving psychological distress as mediator between exposure to violent media and aggression. Nevertheless, studies seem to be inconsistent regarding the associations between media effects, aggressive behaviors, and mental health [50]. Factoring in available evidence, we found it valuable to explore whether media violence leads to aggression through a mediation effect by psychological distress, notably in the current context of Lebanon.

Rationale of the present study

The majority of media consumed by Lebanese people is violent [51]. From bombings to wars, Lebanese people have been exposed to violence for a very long time [52, 53]. This culminated with the Beirut Blast on the 4th of August 2020, in a time when the country was already facing civil unrest, an ongoing socio-economic crisis, and the COVID-19 pandemic. As a result of these factors, Lebanon reported an increase in rates of loneliness [54], desensitization to the suffering of others [55], alexithymia, depression [56], and aggressive behavior [57] during recent years. Violence rates in schools and streets have known an unprecedented increase, and Lebanese youth have gone so far as to be engaged in armed conflicts [58, 59]. Citizens are starting to call violence the new “norm” [60]. When it comes to media specifically, the Lebanese population is familiar with violent images of gunfire, street battles, explosions, missiles, and more [61, 62]. As such, and since no research is available on the matter to date, we aimed to: [1] explore the correlates of aggression (i.e., sociodemographic factors, BMI, loneliness, social competence, and psychological distress) in a sample of Lebanese adults from the general population, and [2] to examine the mediating effect of psychological distress in the association between exposure to media violence and aggression in this sample. We hypothesized that aggression will be positively correlated with BMI, loneliness, and psychological distress, and inversely correlated with perceived social competence. We also expected that psychological distress will mediate the association between exposure to media violence and aggression.

Methods

Study design

This study is cross-sectional, conducted between February 2022 and December 2022, which enrolled 403 Lebanese adult participants, all aged above 18 years old. Participants were recruited through convenience sampling; an online link to the survey via the “WhatsApp” application preceded by an introduction containing the information around the purpose of the study, data anonymity, and voluntariness to consent. Participants were encouraged to forward the link to others (family members, friends, etc.) employing the snowball technique.

Ethical approval

The study proposal was approved by the ethics committee of the School of Pharmacy at the Lebanese International University (2021RC-049-LIUSOP). Submitting the form online was considered equivalent to obtaining a written informed consent.

Minimal sample size

We used the G*Power software to determine the sample size. The minimum required sample size was 371 participants, considering an alpha error of 5%, a power of 80%, a minimal model R2 of 5% and allowing 15 predictors to be included in the model.

Questionnaire

The questionnaire was divided into two main parts. The first part included the socio-demographic characteristics of the participants (age, sex, marital status, education level, self-reported weight and height, time spent using the mobile phone and Household Crowding Index [HCI]). The latter reflects the socio-economic status of the family and was calculated by dividing the number of people by the number of rooms in the house, excluding the bathrooms and the kitchen [63]. The question about time spent using the mobile phone was based on previous findings [64]. Body Mass Index (BMI) was calculated from self-reported height and weight. Physical activity index was also taken into consideration in our study. The latter was calculated by multiplying the reported intensity, duration, and frequency of daily activity [65]. The digital questionnaire was self-administered in Arabic, the participants’ native language, with approximately 15 min needed to complete it. The second part included the following scales.

The Content-Based Media Exposure Scale (C-ME). The C-ME [1] consists of 17 items measuring the exposure to a broad array of antisocial and risk behavior content in almost all media channels by using 8 items assessing exposure to antisocial media content (e.g., “How often do you watch (on the Internet/TV/games/mobile phone/DVD) people who use drugs?” and 9 items assessing exposure to neutral media content (e.g., “How often do you watch (on the Internet/TV/games/mobile phone/DVD) cooking shows?”). All items are scored using from 1 (never) to 5 (very often). The antisocial media exposure subscale was used in this study to assess exposure to media violence; higher scores indicate higher exposure to media violence (Cronbach’s alpha = 0.90).

Buss Perry Agression Questionnaire (BPAQ-SF). Validated in Arabic [11], the BPAQ-SF [12] consists of 12 items measuring aggression. It includes four subscales: physical aggression (“Given enough provocation, I may hit another person”), verbal aggression (“I can’t help getting into arguments when people disagree with me.”), hostility (“Other people always seem to get the breaks”), and anger (“Sometimes I fly off the handle for no good reason”). Total score for each subscale is the sum or the ratings for its items. Higher scores indicate higher aggressive behavior. Cronbach’s alpha values were as follows: physical aggression (0.73), verbal aggression (0.44), hostility (0.71) and anger (0.74).

Depression, Anxiety, Stress Scale (DASS-8). Validated in Arabic [66], DASS-8 [67] is a reliable and brief instrument used in clinical practice in order to differentiate patients with psychiatric disorders from the general population. The DASS-8 consists of 8 items scored on a 4-point Likert scale with higher total score indicating higher psychopathology (Cronbach’s alpha of 0.91).

Jong-Gierveld Loneliness Scale. Validated in Arabic [68], the scale [25] is composed of 5 items assessing loneliness (i.e. “I experience a general sense of emptiness,” “I miss having people around”). Items are scored from 0 to 5 with a higher total score indicating higher loneliness (Cronbach’s alpha of 0.87).

The Perceived Social Competence Scale (PSCS) is a brief, 4-item measure of social competence skills and prosocial behavior in children and young adults[69]. Items include, “I help other people” and “I ask others if I can be of help”. The youth respond to each of the items using a Likert-type scale of 1–5 (1 = Not true at all, 5 = Really true) with higher score indicating higher social competence (Cronbach’s alpha = 0.87).

Translation procedure

The forward-back translation was used for the C-ME and perceived social competence scale using international guidelines [70]. An Arabic native speaker fluent in English did the forward translation, and an English speaker fluent in Arabic unaware of the original and translated scales did the English back-translation. An expert committee composed of health care professionals and a language professional compared the translated versions of the questionnaire with the original ones to check for inconsistencies and to solve any discrepancies between the versions. All ambiguities were resolved after repeating the process of forward-back translation. A pilot study was conducted on 20 persons, with no changes done to any question afterwards.

Statistical analysis

The SPSS software v.25 was used for statistical analysis. All aggression variables showed a normal distribution (skewness and kurtosis between − 1 and + 1), except for the physical aggression score. The log transformation was applied, which later showed to be normally distributed. The student t test was used to compare two means. The Pearson test was used to correlate two continuous variables. Linear regressions were conducted afterwards, taking each aggression score as a dependent variable. The mediation analysis was conducted using PROCESS MACRO v3.4, model 4, which computed 4 pathways: pathway A from the independent variable to the mediator, pathway B from the mediator to the dependent variable and pathway C and C’ from the independent to the dependent variable reflecting the total and direct effects respectively. Factors that showed a p < .25 in the bivariate analysis were entered as independent variables in each model. P < .05 was considered statistically significant.

Results

Sociodemographic and other characteristics of the participants

A total of 403 participants enrolled in this study (mean age = 24.56 ± 8.46 years and 73% females). Other characteristics of the sample can be found in Table 1.

Table 1 Sociodemographic and other characteristics of the participants (n = 403)

Bivariate analysis

The bivariate analysis results are shown in Tables 2 and 3. A higher mean physical aggression score was significantly found in males compared to females. More loneliness, psychological distress and exposure to media violence were significantly associated with physical and verbal aggression, hostility and anger. Finally, more perceived social competence was significantly associated with less verbal aggression and anger.

Table 2 Bivariate analysis of the categorical variables associated with the aggression scores
Table 3 Bivariate analysis of the continuous variables associated with the aggression scores

Multivariable analysis

After adjusting the analysis over all variables that showed a p < .25 in the bivariate analysis, higher exposure to media violence was significantly associated with more physical aggression (Beta = 0.004), verbal aggression (Beta = 0.04), hostility (Beta = 0.06) and anger (Beta = 0.06) (Table 4).

Table 4 Multivariable analysis

Mediation analysis

The results of the mediation analysis were adjusted over the following variables: age, sex, education, perceived social competence and loneliness. Psychological distress partially mediated the association between exposure to media violence and all forms of aggression (physical, verbal, hostility and anger) (Table 5). Higher exposure to media violence was significantly associated with more psychological distress, which was significantly associated with higher levels of all types of aggression. Moreover, higher exposure to media violence was significantly associated with higher levels of all types of aggression (Figs. 1, 2, 3 and 4).

Table 5 Mediation analyses’ results, taking exposure to media violence as the independent variable, psychological distress as the mediator and aggression scores as dependent variables
Fig. 1
figure 1

(a) Relation between exposure to media violence and psychological distress (R2 = .058); (b) Relation between psychological distress and physical aggression (R2 = .178); (c) Total effect of exposure to media violence and physical aggression (R2 = .133); (c’) Direct effect of exposure to media violence and physical aggression. Numbers are displayed as regression coefficients (standard error). ***p < .001

Fig. 2
figure 2

(a) Relation between exposure to media violence and psychological distress (R2 = .063); (b) Relation between psychological distress and verbal aggression (R2 = .138); (c) Total effect of exposure to media violence and verbal aggression (R2 = .079); (c’) Direct effect of exposure to media violence and verbal aggression. Numbers are displayed as regression coefficients (standard error). ***p < .001

Fig. 3
figure 3

(a) Relation between exposure to media violence and psychological distress (R2 = .061); (b) Relation between psychological distress and hostility (R2 = .316); (c) Total effect of exposure to media violence and hostility (R2 = .127); (c’) Direct effect of exposure to media violence and hostility. Numbers are displayed as regression coefficients (standard error). ***p < .001

Fig. 4
figure 4

(a) Relation between exposure to media violence and psychological distress (R2 = .061); (b) Relation between psychological distress and anger (R2 = .378); (c) Total effect of exposure to media violence and anger (R2 = .122); (c’) Direct effect of exposure to media violence and anger. Numbers are displayed as regression coefficients (standard error). ***p < .001

Discussion

Media violence is a common theme in Lebanon. To our knowledge, this is the first study of its kind to explore the relationship between media violence and aggression subtypes in this country. First, higher exposure to media violence was associated with all four aggression subtypes while psychological distress was associated with verbal aggression, hostility, and anger but not physical aggression. Second, higher BMI was associated with higher physical aggression and hostility while increased loneliness and decreased social competence were associated with higher verbal aggression and anger. Finally, confirming our hypothesis, psychological distress partially mediated the association between media violence and all aggression subtypes.

The relationship between exposure to media violence and aggression

We found that higher exposure to media violence is positively associated with an increase in all forms of aggression. This is in line with current literature where violent media positively correlated with aggression [71], higher probability of hostility appraisals [72], and aggressive cognitive responses [73]. Studies also elucidated similar associations amongst children and adolescents [74, 75], including higher media exposure predicting higher verbal and physical aggression in children [76]. These findings could be explained by desensitization to aggressive stimuli caused by repetitive exposure to violent media [17]. Indeed, it is known that repeated exposure to a certain stimulus leads to loss of interest and reactivity to that stimulus. More particularly, recent literature provides us with some evidence that exposure to media violence can make people less empathetic and less physiologically aroused by portrayals of violence in both the short-term and over time [77]. In fact, desensitization, along with observational learning, have been proposed as processes by which media violence leads to aggression [18]. On the other hand, it was also revealed that exposure to violent media is associated with executive control impairments, which predicts high levels of impulsive aggression and hostility [78].

Body Mass Index as a correlate of aggression

Higher BMI predicted higher physical aggression and hostility in our sample of adults. Similar results in children and adolescents were found. A 2017 meta-analysis by Tso et al. found children and adolescents who were overweight or obese were more likely to be physically aggressive [23]. Authors suggested these findings could be explained through common theoretical determinants such as socio-economic status, peer rejection, mental health issues, and problems in self-regulation. It is likely that these same determinants are common between adults and children as well as also underpin the relationship between higher BMI and hostility in our sample. The same result was found in other studies [79, 80], however, one study on adult male offenders found the opposite relationship [24].

Loneliness and social competence as correlates of aggression

We found that loneliness is associated with anger and verbal aggression. This relationship has been previously established [81]. Indeed, loneliness was shown be associated with a multitude of psychological variables including anger, anxiety, and pessimism even when variables such as personality traits are controlled for [82]. According to Brinker et al., the experience of loneliness seems to be associated with an increase in aggressive behavioral tendencies or a lack of inhibition. Moreover, some lonely individuals may resort to harmful and destructive strategies as maladaptive means of coping with their loneliness, thereby projecting their anger onto others. Yavuzer et al. [83] supported this hypothesis and revealed that loneliness also played a mediating role between self-theory (one’s perceptions of one’s self) and aggressive behavior.

In contrast, perceived social competence was associated with less anger and less verbal aggression in our sample. This is in line with previous findings [83, 84]. When participants were exposed to aspects of social competence such as leadership perception, there was less perceived anger. In fact, exposure to positive behavior helps in better management of one’s anger and aggressive thoughts.

The relationship between psychological distress and aggression

As previously discussed, there is a robust association between mental distress and aggression in line with our findings [39, 40]. It is important to note that mental distress increases the relative risk of aggression but the absolute risk is low [42]. In fact, mental distress is not sufficient for aggression to occur as a range of individual and psychosocial factors play a key role [85]. One particular consideration is trauma. Post-Traumatic Stress Disorder (PTSD) can develop through exposure to media coverage of a traumatic event [86]. In fact, trauma exposure and PTSD is linked with both higher rates of aggression [87] as well as psychological distress [88]. As such, violent media that are traumatic to the observer could be a subset of media violence of particular importance in the link between psychological distress and aggression.

Mediating effect of psychological distress in the association between exposure to media violence and aggression

As expected, psychological distress partially and positively mediated the association between violent media exposure and all forms of aggression. These findings are in agreement with the literature consistently reporting a positive association between exposure to violent media and psychological distress [47][46, 49][89], as well as previous data supporting that distress is closely and positively related to aggression [45]. Immediate effects from exposure to violent media are likely related to the activation of the fight-or-flight response [47, 90]. Long-term possibly lasting effects probably have more complex explanations. For one, violent media is associated with common psychopathological concepts like desensitization, more antisocial behaviors, and less empathy [13]. For another, it is possible that media violence and distress can be part of a positive-feedback loop, especially trauma-related content [49] such as the one in Lebanon [51, 52]. Research into the matter is still needed. Finally, Hasan et al. found that violent games increase stress [46] and suggested that, through this stress increase, violent games can lead to an increase in aggressive behaviors. This is similar to our finding regarding psychological distress as a mediator.

We interpret our mediation results within the available evidence that such effects are likely short term in adults with less long-term impact, as opposed to what is seen in children [15]. We propose that distress could be involved in two psychological processes related to the short-term translation of media violence to aggressive behaviors: priming and arousal. It is worthy to note that long-term processes are likely involved as well and that repeated short-term processes following violent media exposure may lead to cumulative effects [72]. Priming is an inherent linking process between an external stimulus (here, media violence) and a psychological process (here, the notion of aggression) which makes behaviors related to said process more likely (here, aggressive behavior) [18]. In our sample, priming can possibly explain, at least partially, the direct effect of media violence on aggression. Herein, we suggest that psychological distress indirectly reinforces this priming effect. It is possible that, in those with risk factors, media violence is a potent stimulus that triggers a cascade of events in the brain leading to psychological distress and subsequently, makes aggression much more likely. The plausibility of this hypothesis is supported by the common and interrelated neurobiological pathways (e.g. limbic system and amygdala) between psychopathologies (and by extension, aspects of psychological distress) and aggression [39, 91]. As such, psychological distress could increase the chances of aggressive behavior resulting from the primed stimulus of media violence. In sum, media violence is more likely to result in aggression when psychological distress indirectly reinforces the initial primed effect of media violence. Further research is needed to support this hypothesis and explore any direct links or dependencies between the priming process and psychological distress.

Another likely process involved is arousal. Media violence can provoke psychological and physiological arousal through emotions like anger and fear which could lead to disinhibition and/or provocation transfer, resulting in aggression [18, 92]. Additionally, it is no surprise that arousal is related to psychological distress [90, 93]. In fact, it is possible they reflect certain common underlying functions such as attending to threats [90, 94]. Therefore, it is intuitive to assume that psychological distress works similarly to arousal in mediating between media violence and aggression. Moreover, psychological distress, through trans-diagnostic entities like emotional dysregulation [95], impulsivity, and compulsivity [96], could underpin this mediation. In fact, one study found that emotional dysregulation plays a key role in mediating between negative affect and physical aggression [97]. Another study implicated impulsivity and sensation-seeking as predictors of aggressive behavior [98]. This is also reflected in current therapeutic modalities for aggression. For example, Dialectical Behavioral Therapy, a therapy initially devised to treat emotional dysregulation and maladaptive behaviors in borderline personality disorder, has shown promise in the treatment of anger and aggressive behavior [99]. Nothing conclusive can be drawn but it would be valuable for future research to explore what underlying aspects of psychological distress are implicated in mediating between media violence and aggression. In fact, one could conceptualize that those different underlying entities mediate from media violence towards different subtypes of aggression with different effect powers (e.g. impulsivity could mediate more towards behavioral aggression while emotional dysregulation could mediate more towards anger). Future studies are needed on the matter.

Clinical implications

As rates of aggressive behaviors in adults are becoming alarming, it is becoming increasingly necessary to identify sources of such behaviors. Our results imply that safeguards are needed against exposure to violent media even in adult populations and especially, in the context of Lebanon. Using algorithms to identify violent media content on social media platforms may prove beneficial in limiting such exposure. Moreover, responsible media reporting on violent events is a must. For instance, it is likely helpful to avoid unduly repeating clips of violent events, such as clips from the Beirut Blast, shootings, and robberies. Even though exposure to violent media is a modifiable risk factor, interventions to decrease aggression require a multi-layered approach, including determining individuals at risk. As such, key risk factors like loneliness and psychological distress need to be equally mitigated. Additionally, in contexts where limiting exposure to violent media is unrealistic, likely the current case of Lebanon, clinicians are advised to employ therapeutic modalities aiming to reduce psychological distress, the mediator from violent media to aggression. Access to affordable and adequate mental health services is a prerequisite. Finally, future efforts should be directed towards what trans-diagnostic entities likely underpin the mediation effect from media violence to aggression which could lead to more targeted management strategies.

Limitations

An information bias is present as in all cross-sectional studies since participants tend to over or underrate their symptoms. A selection bias is present because of the convenient sampling method used in this study and because of the unknown refusal rate for participation, thus, our results might not be generalizable. Most of our young adult sample is female, single, and university educated. As such, this study is not well-suited to elucidate differences related sex nor socio-economic status in the studied variables. Moreover, confounding bias is present since not all factors associated with aggression were considered in this study. The C-ME scale is not validated in Lebanon; results should be consequently interpreted with caution. Finally, the study was a cross-sectional design, thus causal relations between the studied variables could not be explored.

Conclusion

Psychological distress partially mediated the association between exposure to violent media and all subtypes of aggression in a sample of Lebanese adults. This could be explained by the reinforcement of the priming process of violent media as well as heightened arousal of the individual. Moreover, the higher the violent media exposure, the higher the aggression. This re-opens the discussion on whether violent media should be considered a public health hazard, notably in sociopolitical contexts like Lebanon, where consumption of violent media is the rule. As such, more research is needed on the effects of media violence on adults, especially when such exposure is contextually common.

Data availability

All data generated or analyzed during this study are not publicly available due to the restrictions by the ethics committee. The dataset supporting the conclusions is available upon request to the corresponding author.

Abbreviations

BMI:

Body Mass Index

COVID-19:

Coronavirus Disease 2019

HCI:

Household Crowding Index

C-ME:

Content-Based Media Exposure Scale

BPAQ-SF:

Buss Perry Agression Questionnaire

DASS-8:

Depression, Anxiety, Stress Scale

PSCS:

Perceived Social Competence Scale

SPSS:

Statistical Package for the Social Sciences

References

  1. den Hamer AH, Konijn EA, Plaisier XS, Keijer MG, Krabbendam LC, Bushman BJ. The Content-based Media Exposure Scale (C-ME): Development and Validation. Computers in Human Behavior [Internet]. 2017 Jul [cited 2023 Apr 4];72:549–57. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0747563217301310.

  2. Kohut A, Wike R, Horowitz JM. GLOBAL DIGITAL COMMUNICATION: Texting, Social Networking Popular Worldwide.

  3. Middle East Internet Stats and Telecommunications Reports [Internet]. 2022 [cited 2023 Apr 4]. Available from: https://www.internetworldstats.com/middle.htm#lb.

  4. Obeid S, Saade S, Haddad C, Sacre H, Khansa W, Al Hajj R et al. Internet Addiction Among Lebanese Adolescents: The Role of Self-Esteem, Anger, Depression, Anxiety, Social Anxiety and Fear, Impulsivity, and Aggression—A Cross-Sectional Study. J Nerv Ment Dis [Internet]. 2019 Oct [cited 2023 Apr 4];207(10):838–46. Available from: https://journals.lww.com/https://doi.org/10.1097/NMD.0000000000001034.

  5. Zimmerman FJ, Christakis DA. Associations between content types of early media exposure and subsequent attentional problems. Pediatrics. 2007 Nov;120(5):986–92.

  6. Denniston MM, Swahn MH, Hertz MF, Romero LM. Associations between Electronic Media Use and Involvement in Violence, Alcohol and Drug Use among United States High School Students. West J Emerg Med [Internet]. 2011 Jul [cited 2023 Apr 4];12(3):310–5. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3117607/.

  7. Wills TA, Sargent JD, Gibbons FX, Gerrard M, Stoolmiller M. Movie exposure to alcohol cues and adolescent alcohol problems: a longitudinal analysis in a national sample. Psychol Addict Behav. 2009 Mar;23(1):23–35.

  8. Huesmann LR, Taylor LD. The Role of Media Violence in Violent Behavior. Annu Rev Public Health [Internet]. 2006 Apr 1 [cited 2023 Apr 4];27(1):393–415. Available from: https://www.annualreviews.org/doi/https://doi.org/10.1146/annurev.publhealth.26.021304.144640.

  9. Martínez-Monteagudo MC, Delgado B, García-Fernández JM, Rubio E. Cyberbullying, Aggressiveness, and Emotional Intelligence in Adolescence. International Journal of Environmental Research and Public Health [Internet]. 2019 Jan [cited 2023 May 8];16(24):5079. Available from: https://www.mdpi.com/1660-4601/16/24/5079.

  10. Bryant FB, Smith BD. Refining the Architecture of Aggression: A Measurement Model for the Buss–Perry Aggression Questionnaire. Journal of Research in Personality [Internet]. 2001 Jun [cited 2023 Apr 4];35(2):138–67. Available from: https://linkinghub.elsevier.com/retrieve/pii/S009265660092302X.

  11. Fekih-Romdhane F, Malaeb D, Sarray El Dine A, Yakın E, Hallit S, Obeid S. Association between Bullying Victimization and Aggression in Lebanese Adolescents: The Indirect Effect of Repetitive Negative Thinking—A Path Analysis Approach and Scales Validation. Children [Internet]. 2023 Mar 21 [cited 2023 Apr 4];10(3):598. Available from: https://www.mdpi.com/2227-9067/10/3/598.

  12. Buss AH, Perry M. The Aggression Questionnaire. Journal of Personality and Social Psychology [Internet]. 1992 Sep [cited 2023 Apr 4];63(3):452–9. Available from: http://doi.apa.org/getdoi.cfm?doi=10.1037/0022-3514.63.3.452.

  13. Anderson CA, Shibuya A, Ihori N, Swing EL, Bushman BJ, Sakamoto A et al. Violent video game effects on aggression, empathy, and prosocial behavior in Eastern and Western countries: A meta-analytic review. Psychological Bulletin [Internet]. 2010 [cited 2023 Apr 4];136(2):151–73. Available from: http://doi.apa.org/getdoi.cfm?doi=10.1037/a0018251.

  14. Anderson CA, Bushman BJ. Media Violence and the General Aggression Model: Media Violence and the General Aggression Model. Journal of Social Issues [Internet]. 2018 Jun [cited 2023 Apr 4];74(2):386–413. Available from: https://onlinelibrary.wiley.com/doi/https://doi.org/10.1111/josi.12275.

  15. Bushman BJ, Huesmann LR. Short-term and Long-term Effects of Violent Media on Aggression in Children and Adults. Arch Pediatr Adolesc Med [Internet]. 2006 Apr 1 [cited 2023 Apr 4];160(4):348. Available from: http://archpedi.jamanetwork.com/article.aspx?doi=10.1001/archpedi.160.4.348.

  16. Greitemeyer T, Mügge DO. Video Games Do Affect Social Outcomes: A Meta-Analytic Review of the Effects of Violent and Prosocial Video Game Play. Pers Soc Psychol Bull [Internet]. 2014 May [cited 2023 Apr 4];40(5):578–89. Available from: http://journals.sagepub.com/doi/https://doi.org/10.1177/0146167213520459.

  17. Carnagey NL, Anderson CA, Bartholow BD. Media Violence and Social Neuroscience: New Questions and New Opportunities. Curr Dir Psychol Sci [Internet]. 2007 Aug [cited 2023 Apr 4];16(4):178–82. Available from: http://journals.sagepub.com/doi/https://doi.org/10.1111/j.1467-8721.2007.00499.x.

  18. Huesmann LR. The Impact of Electronic Media Violence: Scientific Theory and Research. Journal of Adolescent Health [Internet]. 2007 Dec [cited 2023 Apr 4];41(6):S6–13. Available from: https://linkinghub.elsevier.com/retrieve/pii/S1054139X07003916.

  19. Huesmann LR, Taylor LD. The case against the case against Media Violence. Media violence and children: a complete guide for parents and professionals. Westport, CT, US: Praeger Publishers/Greenwood Publishing Group; 2003. 107–30.

    Google Scholar 

  20. Huesmann LR, Moise-Titus J, Podolski CL, Eron LD. Longitudinal relations between children’s exposure to TV violence and their aggressive and violent behavior in young adulthood: 1977–1992. Developmental Psychology [Internet]. 2003 [cited 2023 Apr 4];39(2):201–21. Available from: http://doi.apa.org/getdoi.cfm?doi=10.1037/0012-1649.39.2.201.

  21. STUART H. Violence and mental illness: an overview. World Psychiatry [Internet]. 2003 Jun [cited 2023 Apr 4];2(2):121–4. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1525086/.

  22. Basch CE. Aggression and violence and the achievement gap among urban minority youth. J Sch Health. 2011 Oct;81(10):619–25.

  23. Tso MKW, Rowland B, Toumbourou JW, Guadagno BL. Overweight or obesity associations with physical aggression in children and adolescents: A meta-analysis. International Journal of Behavioral Development [Internet]. 2018 Jan [cited 2023 Apr 4];42(1):116–31. Available from: http://journals.sagepub.com/doi/https://doi.org/10.1177/0165025417690265.

  24. Ekmekcioglu C, Devletlian S, Blasche G, Kundi M. Is there an Association between the body Mass Index and Interpersonal Violent Behavior? J Forensic Sci. 2015 Sep;60(5):1350–4.

  25. Gallup AC, Wilson DS. Body Mass Index (BMI) and peer aggression in adolescent females: An evolutionary perspective. Journal of Social, Evolutionary, and Cultural Psychology [Internet]. 20111010 [cited 2023 May 8];3(4):356. Available from: https://psycnet.apa.org/fulltext/2011-15660-007.pdf.

  26. Campbell M. Loneliness, social anxiety and bullying victimization in young people: a literature review. Psychol Educ. 2013;(50):1–10.

  27. Karaoglan Yilmaz FG, Avci U, Yilmaz R. The role of loneliness and aggression on smartphone addiction among university students. Curr Psychol. 2022 Mar;19:1–9.

  28. Coplan RJ, Closson LM, Arbeau KA. Gender differences in the behavioral associates of loneliness and social dissatisfaction in kindergarten. J Child Psychol & Psychiat [Internet]. 2007 Oct [cited 2023 Apr 4];48(10):988–95. Available from: https://onlinelibrary.wiley.com/doi/https://doi.org/10.1111/j.1469-7610.2007.01804.x.

  29. Jeong EJ, Kim DJ, Lee DM, Lee HR. A Study of Digital Game Addiction from Aggression, Loneliness and Depression Perspectives. In: 2016 49th Hawaii International Conference on System Sciences (HICSS) [Internet]. Koloa, HI, USA: IEEE; 2016 [cited 2023 Apr 4]. p. 3769–80. Available from: http://ieeexplore.ieee.org/document/7427654/.

  30. Swails LW. Associations between aggression and loneliness: An examination of the mediating role of social preference. 2014 Dec 31 [cited 2023 Apr 4]; Available from: https://kuscholarworks.ku.edu/handle/1808/18396.

  31. T’ng ST, Ho KH, Sim DE, Yu CH, Wong PY. The mediating effect of Internet gaming disorder’s symptoms on loneliness and aggression among undergraduate students and working adults in Malaysia. Psych J [Internet]. 2020 Feb [cited 2023 Apr 4];9(1):96–107. Available from: https://onlinelibrary.wiley.com/doi/https://doi.org/10.1002/pchj.320.

  32. Hukkelberg S, Keles S, Ogden T, Hammerstrøm K. The relation between behavioral problems and social competence: A correlational Meta-analysis. BMC Psychiatry [Internet]. 2019 Dec [cited 2023 Apr 4];19(1):354. Available from: https://bmcpsychiatry.biomedcentral.com/articles/https://doi.org/10.1186/s12888-019-2343-9.

  33. Boxer P, Huesmann LR, Bushman BJ, O’Brien M, Moceri D. The Role of Violent Media Preference in Cumulative Developmental Risk for Violence and General Aggression. J Youth Adolesc [Internet]. 2009 Mar [cited 2023 May 8];38(3):417–28. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4522000/.

  34. Ubago-Jiménez JL, Cepero-González M, Martínez-Martínez A, Chacón-Borrego F. Linking Emotional Intelligence, Physical Activity and Aggression among Undergraduates. Int J Environ Res Public Health [Internet]. 2021 Nov 26 [cited 2023 Apr 4];18(23):12477. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8656989/.

  35. Park S, Chiu W, Won D, Correction. Effects of physical education, extracurricular sports activities, and leisure satisfaction on adolescent aggressive behavior: A latent growth modeling approach. PLoS One [Internet]. 2021 Apr 29 [cited 2023 Apr 4];16(4):e0251221. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8084159/.

  36. Dutton DG, Karakanta C. Depression as a risk marker for aggression: a critical review. Aggress Violent Beh. 2013;18:310–9.

    Article  Google Scholar 

  37. Demichelis OP, Grainger SA, McKay KT, Bourdaniotis XE, Churchill EG, Henry JD. Sleep, stress and aggression: Meta-analyses investigating associations and causality. Neurosci Biobehav Rev. 2022 Aug;139:104732.

  38. Granic I. The role of anxiety in the development, maintenance, and treatment of childhood aggression. Dev Psychopathol. 2014 Nov;26(4 Pt 2):1515–30.

  39. Neumann. Aggression and anxiety: social context and neurobiological links. Front Behav Neurosci [Internet]. 2010 [cited 2023 Apr 4]; Available from: http://journal.frontiersin.org/article/https://doi.org/10.3389/fnbeh.2010.00012/abstract.

  40. Fazel S, Wolf A, Chang Z, Larsson H, Goodwin GM, Lichtenstein P. Depression and violence: a Swedish population study. The Lancet Psychiatry [Internet]. 2015 Mar [cited 2023 Apr 4];2(3):224–32. Available from: https://linkinghub.elsevier.com/retrieve/pii/S221503661400128X.

  41. Ferguson CJ, San Miguel C, Hartley RD. A Multivariate Analysis of Youth Violence and Aggression: The Influence of Family, Peers, Depression, and Media Violence. The Journal of Pediatrics [Internet]. 2009 Dec [cited 2023 Apr 4];155(6):904–908.e3. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0022347609005769.

  42. Whiting D, Lichtenstein P, Fazel S. Violence and mental disorders: a structured review of associations by individual diagnoses, risk factors, and risk assessment. The Lancet Psychiatry [Internet]. 2021 Feb [cited 2023 Apr 4];8(2):150–61. Available from: https://linkinghub.elsevier.com/retrieve/pii/S2215036620302625.

  43. Tortolero SR, Peskin MF, Baumler ER, Cuccaro PM, Elliott MN, Davies SL et al. Daily Violent Video Game Playing and Depression in Preadolescent Youth. Cyberpsychol Behav Soc Netw. 2014 Sep 1;17(9):609–15.

  44. Christakis DA, Zimmerman FJ. Violent television viewing during preschool is associated with antisocial behavior during school age. Pediatrics. 2007 Nov;120(5):993–9.

  45. Thompson EL, Farrell AD. Longitudinal relations between trauma-related psychological distress and physical aggression among urban early adolescents. J Clin Psychol. 2019 Sep;75(9):1626–42.

  46. Hasan Y, Bègue L, Bushman BJ. Violent Video Games Stress People Out and Make Them More Aggressive: Violent Video Games, Stress, & Aggression. Aggr Behav [Internet]. 2013 Jan [cited 2023 Apr 4];39(1):64–70. Available from: https://onlinelibrary.wiley.com/doi/https://doi.org/10.1002/ab.21454.

  47. Madan A, Mrug S, Wright RA. The Effects of Media Violence on Anxiety in Late Adolescence. J Youth Adolescence [Internet]. 2014 Jan [cited 2023 Apr 4];43(1):116–26. Available from: http://link.springer.com/https://doi.org/10.1007/s10964-013-0017-3.

  48. Tortolero SR, Peskin MF, Baumler ER, Cuccaro PM, Elliott MN, Davies SL et al. Daily Violent Video Game Playing and Depression in Preadolescent Youth. Cyberpsychology, Behavior, and Social Networking [Internet]. 2014 Sep [cited 2023 May 8];17(9):609–15. Available from: https://www.liebertpub.com/doi/https://doi.org/10.1089/cyber.2014.0091.

  49. Thompson RR, Jones NM, Holman EA, Silver RC. Media exposure to mass violence events can fuel a cycle of distress. Sci Adv [Internet]. 2019 Apr 5 [cited 2023 Apr 4];5(4):eaav3502. Available from: https://www.science.org/doi/https://doi.org/10.1126/sciadv.aav3502.

  50. Ferguson CJ, Colwell J, Mlačić B, Milas G, Mikloušić I. Personality and media influences on violence and depression in a cross-national sample of young adults: Data from Mexican–Americans, English and Croatians. Computers in Human Behavior [Internet]. 2011 May [cited 2023 Apr 4];27(3):1195–200. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0747563211000021.

  51. Images of Violence in the Lebanese Media News Coverage [Internet]. Maharat Foundation. 2013 [cited 2023 Apr 4]. Available from: https://maharatfoundation.org//en/mediaandviolenceimages.

  52. Karam EG, Mneimneh ZN, Dimassi H, Fayyad JA, Karam AN, Nasser SC et al. Lifetime Prevalence of Mental Disorders in Lebanon: First Onset, Treatment, and Exposure to War. Murthy RS, editor. PLoS Med [Internet]. 2008 Apr 1 [cited 2023 Apr 4];5(4):e61. Available from: https://doi.org/10.1371/journal.pmed.0050061.

  53. Security threat perceptions in Lebanon - International Alert [Internet]. 2014 [cited 2023 Apr 4]. Available from: https://www.international-alert.org/publications/security-threat-perceptions-lebanon/.

  54. Bizri AR, Khachfe HH, Fares MY, Musharrafieh U. COVID-19 Pandemic: An Insult Over Injury for Lebanon. J Community Health [Internet]. 2021 Jun [cited 2023 Apr 4];46(3):487–93. Available from: https://link.springer.com/https://doi.org/10.1007/s10900-020-00884-y.

  55. Tarabah A, Badr LK, Usta J, Doyle J. Exposure to Violence and Children’s Desensitization Attitudes in Lebanon. J Interpers Violence [Internet]. 2016 Nov [cited 2023 Apr 4];31(18):3017–38. Available from: http://journals.sagepub.com/doi/https://doi.org/10.1177/0886260515584337.

  56. Sfeir E, Geara C, Hallit S, Obeid S. Alexithymia, aggressive behavior and depression among Lebanese adolescents: A cross-sectional study. Child and Adolescent Psychiatry and Mental Health [Internet]. 2020 Sep 5;14(1):32. Available from: https://doi.org/10.1186/s13034-020-00338-2.

  57. Sanchez-Ruiz MJ, Baaklini A. Individual and social correlates of aggressive behavior in Lebanese undergraduates: The role of trait emotional intelligence. The Journal of Social Psychology [Internet]. 2018 May 4 [cited 2023 Apr 4];158(3):350–60. Available from: https://www.tandfonline.com/doi/full/https://doi.org/10.1080/00224545.2017.1353476.

  58. Adolescent boys and youth in Lebanon. : a review of the evidence [Internet]. GAGE. [cited 2023 May 13]. Available from: https://www.gage.odi.org/publication/adolescent-boys-and-youth-in-lebanon-a-review-of-the-evidence/.

  59. Lebanon Crisis Response Plan. (2017–2020) | United Nations in Lebanon [Internet]. [cited 2023 May 13]. Available from: https://lebanon.un.org/en/102825-lebanon-crisis-response-plan-2017-2020, https://lebanon.un.org/en/102825-lebanon-crisis-response-plan-2017-2020.

  60. Normalised violence in Lebanon. : an additional challenge to peacebuilding - Lebanon | ReliefWeb [Internet]. 2022 [cited 2023 May 8]. Available from: https://reliefweb.int/report/lebanon/normalised-violence-lebanon-additional-challenge-peacebuilding.

  61. Lebanon Violence -. Latest news, videos and opinion [Internet]. Middle East Eye. [cited 2023 May 8]. Available from: http://www.middleeasteye.net/topics/lebanon-violence.

  62. Lebanon’s Tragic Cycle of Violence Has a Cause [Internet]. Human Rights Watch. 2021 [cited 2023 May 8]. Available from: https://www.hrw.org/news/2021/10/15/lebanons-tragic-cycle-violence-has-cause.

  63. Melki IS, Beydoun HA, Khogali M, Tamim H, Yunis KA, National Collaborative Perinatal Neonatal Network (NCPNN). Household crowding index: a correlate of socioeconomic status and inter-pregnancy spacing in an urban setting. J Epidemiol Community Health. 2004 Jun;58(6):476–80.

  64. Riehm KE, Feder KA, Tormohlen KN, Crum RM, Young AS, Green KM et al. Associations Between Time Spent Using Social Media and Internalizing and Externalizing Problems Among US Youth. JAMA Psychiatry [Internet]. 2019 Dec 1 [cited 2023 Apr 4];76(12):1266. Available from: https://jamanetwork.com/journals/jamapsychiatry/fullarticle/2749480.

  65. Weary-Smith KA. Validation of the physical activity index (PAI) as a measure of total activity load and total kilocalorie expenditure during submaximal treadmill walking [Internet]. University of Pittsburgh; 2007 [cited 2023 Apr 4]. Available from: http://d-scholarship.pitt.edu/8763/.

  66. Ali AM, Hori H, Kim Y, Kunugi H. The Depression Anxiety Stress Scale 8-Items Expresses Robust Psychometric Properties as an Ideal Shorter Version of the Depression Anxiety Stress Scale 21 Among Healthy Respondents From Three Continents. Frontiers in Psychology [Internet]. 2022 [cited 2023 Apr 4];13. Available from: https://www.frontiersin.org/articles/https://doi.org/10.3389/fpsyg.2022.799769.

  67. Ali AM, Abdulmajeed A, Alkhamees, Hori H, Kim Y, Kunugi H. Development and validation of the Depression Stress Anxiety Scale 8 (DASS-8): better psychometrics than the Depression Anxiety Scale 21 (DASS-21) and the Korean Depression Anxiety Scale 12 (Dass-12). 2021 [cited 2023 Apr 4]; Available from: http://rgdoi.net/https://doi.org/10.13140/RG.2.2.21256.96005.

  68. Awad E, Rogoza R, Gerges S, Obeid S, Hallit S. Association of social media use disorder and orthorexia nervosa among Lebanese University students: The indirect effect of loneliness and factor structure of the social media use disorder short form and the Jong-Gierveld Loneliness scales. Psychol Rep. 2022 Oct 15:332941221132985. https://doi.org/10.1177/00332941221132985

  69. Anderson-Butcher D, Iachini A, Amorose A. Initial reliability and validity of the Perceived Social competence scale. Research on Social Work Practice - RES SOCIAL WORK PRAC. 2007 Jun 12;18:47–54.

  70. Beaton DE, Bombardier C, Guillemin F, Ferraz MB. Guidelines for the process of cross-cultural adaptation of self-report measures. Spine (Phila Pa 1976). 2000 Dec 15;25(24):3186–91.

  71. Brummert Lennings HI, Warburton WA. The effect of auditory versus visual violent media exposure on aggressive behaviour: The role of song lyrics, video clips and musical tone. Journal of Experimental Social Psychology [Internet]. 2011 Jul [cited 2023 Apr 4];47(4):794–9. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0022103111000345.

  72. Bushman BJ. Violent media and hostile appraisals: A meta-analytic review: Violent Media and Hostile Appraisals. Aggr Behav [Internet]. 2016 Nov [cited 2023 Apr 4];42(6):605–13. Available from: https://onlinelibrary.wiley.com/doi/https://doi.org/10.1002/ab.21655.

  73. Chory-Assad RM. Effects of television sitcom exposure on the accessibility of verbally aggressive thoughts. Western Journal of Communication [Internet]. 2004 Dec [cited 2023 Apr 4];68(4):431–53. Available from: http://www.tandfonline.com/doi/abs/10.1080/10570310409374812.

  74. Han L, Xiao M, Jou M, Hu L, Sun R, Zhou Z. The long-term effect of media violence exposure on aggression of youngsters. Computers in Human Behavior [Internet]. 2020 May [cited 2023 Apr 4];106:106257. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0747563220300133.

  75. Khurana A, Bleakley A, Ellithorpe ME, Hennessy M, Jamieson PE, Weitz I. Media violence exposure and aggression in adolescents: A risk and resilience perspective. Aggr Behav [Internet]. 2019 Jan [cited 2023 Apr 4];45(1):70–81. Available from: https://onlinelibrary.wiley.com/doi/https://doi.org/10.1002/ab.21798.

  76. Gentile DA, Coyne S, Walsh DA. Media violence, physical aggression, and relational aggression in school age children: a short-term longitudinal study. Aggr Behav [Internet]. 2011 Mar [cited 2023 Apr 4];37(2):193–206. Available from: https://onlinelibrary.wiley.com/doi/https://doi.org/10.1002/ab.20380.

  77. Miles-Novelo A, Anderson CA. Desensitization. In: Bulck J, editor. The International Encyclopedia of Media Psychology [Internet]. 1st ed. Wiley; 2020 [cited 2023 Apr 4]. p. 1–11. Available from: https://onlinelibrary.wiley.com/doi/https://doi.org/10.1002/9781119011071.iemp0056.

  78. Anderson CA, Bushman BJ, Bartholow BD, Cantor J, Christakis D, Coyne SM et al. Screen Violence and Youth Behavior. Pediatrics [Internet]. 2017 Nov 1 [cited 2023 Apr 4];140(Supplement_2):S142–7. Available from: https://publications.aap.org/pediatrics/article/140/Supplement_2/S142/34161/Screen-Violence-and-Youth-Behavior.

  79. Biggs SN, Tamanyan K, Walter LM, Weichard AJ, Davey MJ, Nixon GM, et al. Overweight and obesity add to behavioral problems in children with sleep-disordered breathing. Sleep Med. 2017 Nov;39:62–9.

  80. Stensland S, Thoresen S, Wentzel-Larsen T, Dyb G. Interpersonal violence and overweight in adolescents: the HUNT study. Scand J Public Health. 2015 Feb;43(1):18–26.

  81. Jeong D, Shim EJ. Association of perceived inequality, relative deprivation and loneliness with the trajectory of anger in university students. Journal of American College Health [Internet]. 2022 Jun 21 [cited 2023 Apr 4];1–6. Available from: https://www.tandfonline.com/doi/full/https://doi.org/10.1080/07448481.2022.2089840.

  82. Cacioppo JT, Hawkley LC, Ernst JM, Burleson M, Berntson GG, Nouriani B et al. Loneliness within a nomological net: An evolutionary perspective. Journal of Research in Personality [Internet]. 2006 Dec [cited 2023 Apr 4];40(6):1054–85. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0092656606000055.

  83. Yavuzer Y, Albayrak G, Kılıçarslan S. Relationships Amongst Aggression, Self-Theory, Loneliness, and Depression in Emerging Adults. Psychol Rep [Internet]. 2019 Aug [cited 2023 Apr 4];122(4):1235–58. Available from: http://journals.sagepub.com/doi/https://doi.org/10.1177/0033294118784866.

  84. Burt I, Patel SH, Lewis SV. Anger Management Leadership Groups: A Creative Intervention for Increasing Relational and Social Competencies With Aggressive Youth. Journal of Creativity in Mental Health [Internet]. 2012 Jul [cited 2023 Apr 4];7(3):249–61. Available from: http://www.tandfonline.com/doi/abs/https://doi.org/10.1080/15401383.2012.710168.

  85. Stuart H. Violence and mental illness: an overview. World Psychiatry. 2003 Jun;2(2):121–4.

  86. Abdalla SM, Cohen GH, Tamrakar S, Koya SF, Galea S. Media Exposure and the Risk of Post-Traumatic Stress Disorder Following a Mass traumatic Event: An In-silico Experiment. Front Psychiatry [Internet]. 2021 Nov 25 [cited 2023 May 8];12:674263. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8656276/.

  87. Abate A, Marshall K, Sharp C, Venta A. Trauma and aggression: investigating the Mediating Role of Mentalizing in Female and Male Inpatient Adolescents. Child Psychiatry Hum Dev. 2017 Dec;48(6):881–90.

  88. Fang S, Chung MC, Wang Y. The Impact of Past Trauma on Psychological Distress: The Roles of Defense Mechanisms and Alexithymia. Front Psychol [Internet]. 2020 May 21 [cited 2023 May 8];11:992. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7326135/.

  89. Chen Y, Liu X, Chiu DT, Li Y, Mi B, Zhang Y et al. Problematic Social Media Use and Depressive Outcomes among College Students in China: Observational and Experimental Findings. IJERPH [Internet]. 2022 Apr 19 [cited 2023 Apr 4];19(9):4937. Available from: https://www.mdpi.com/1660-4601/19/9/4937.

  90. Rozenman M, Vreeland A, Piacentini J. Thinking anxious, feeling anxious, or both? Cognitive bias moderates the relationship between anxiety disorder status and sympathetic arousal in youth. Journal of Anxiety Disorders [Internet]. 2017 Jan [cited 2023 Apr 4];45:34–42. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0887618516303802.

  91. Rosell DR, Siever LJ. The neurobiology of aggression and violence. CNS Spectr [Internet]. 2015 Jun [cited 2023 Apr 4];20(3):254–79. Available from: https://www.cambridge.org/core/product/identifier/S109285291500019X/type/journal_article.

  92. Salters-Pedneault K, Gentes E, Roemer L. The Role of Fear of Emotion in Distress, Arousal, and Cognitive Interference Following an Emotional Stimulus. Cognitive Behaviour Therapy [Internet]. 2007 Mar [cited 2023 Apr 4];36(1):12–22. Available from: http://www.tandfonline.com/doi/abs/10.1080/16506070600874281.

  93. Hall M, Thayer JF, Germain A, Moul D, Vasko R, Puhl M et al. Psychological Stress Is Associated With Heightened Physiological Arousal During NREM Sleep in Primary Insomnia. Behavioral Sleep Medicine [Internet]. 2007 Aug 15 [cited 2023 Apr 4];5(3):178–93. Available from: http://www.tandfonline.com/doi/abs/10.1080/15402000701263221.

  94. Field AP, Lester KJ. Is There Room for ‘Development’ in Developmental Models of Information Processing Biases to Threat in Children and Adolescents? Clin Child Fam Psychol Rev [Internet]. 2010 Dec [cited 2023 Apr 4];13(4):315–32. Available from: http://link.springer.com/https://doi.org/10.1007/s10567-010-0078-8.

  95. Carmassi C, Conti L, Gravina D, Nardi B, Dell’Osso L. Emotional dysregulation as trans-nosographic psychopathological dimension in adulthood: A systematic review. Front Psychiatry [Internet]. 2022 Aug 29 [cited 2023 Apr 4];13:900277. Available from: https://www.frontiersin.org/articles/https://doi.org/10.3389/fpsyt.2022.900277/full.

  96. Hook RW, Grant JE, Ioannidis K, Tiego J, Yücel M, Wilkinson P et al. Trans-diagnostic measurement of impulsivity and compulsivity: A review of self-report tools. Neuroscience & Biobehavioral Reviews [Internet]. 2021 Jan [cited 2023 Apr 4];120:455–69. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0149763420306126.

  97. Donahue JJ, Goranson AC, McClure KS, Van Male LM. Emotion dysregulation, negative affect, and aggression: A moderated, multiple mediator analysis. Personality and Individual Differences [Internet]. 2014 Nov [cited 2023 Apr 4];70:23–8. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0191886914003389.

  98. Pérez Fuentes MDC, Molero Jurado M, del M, Carrión Martínez JJ, Mercader Rubio I, Gázquez JJ. Sensation-Seeking and Impulsivity as Predictors of Reactive and Proactive Aggression in Adolescents. Front Psychol [Internet]. 2016 Sep 27 [cited 2023 Apr 4];7. Available from: http://journal.frontiersin.orghttps://doi.org/10.3389/fpsyg.2016.01447/abstract.

  99. Frazier SN, Vela J. Dialectical behavior therapy for the treatment of anger and aggressive behavior: A review. Aggression and Violent Behavior [Internet]. 2014 Mar [cited 2023 Apr 4];19(2):156–63. Available from: https://linkinghub.elsevier.com/retrieve/pii/S1359178914000147.

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SH, ZB and SO designed the study; AC, NF, CY and AH collected the data and drafted the manuscript; SH carried out the analysis and interpreted the results; FFR authors reviewed the final manuscript and gave their consent.

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Chabbouh, A., Hallit, S., Farah, N. et al. Examining correlates of aggression and mediating effect of psychological distress between exposure to media violence and aggression in lebanese adults. BMC Psychol 11, 191 (2023). https://doi.org/10.1186/s40359-023-01232-0

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