The study, led by Lindsay E. Young of the University of Southern California together with Alyssa F. Harlow, Evan A. Krueger, and Jessica Barrington-Trimis, draws on the ADVANCE study (“Assessing Developmental Patterns of Vaping, Alcohol, Nicotine, Cannabis Use, and Emotional Wellbeing”), an ongoing prospective cohort of roughly 4,500 students recruited from 11 schools across seven school districts in Los Angeles, Riverside, San Bernardino, Orange, and Imperial counties. For the present analysis, the team followed 3,612 adolescents, whose average age was 15.7 years, across five semiannual survey waves spanning Spring 2022 through Spring 2024—the high school years in which internalizing problems typically consolidate. The sample closely mirrored Southern California’s diversity, with 52.6 percent identifying as Hispanic or Latinx and 35.5 percent as Asian, and it included substantial numbers of sexual minority (19.7 percent) and transgender or gender non-binary (6.2 percent) youth.

At every wave, participants named up to seven of their closest friends in their grade, generating directed friendship matrices for each school. Using these nominations, the researchers constructed “network exposure” variables: the average depression or generalized anxiety T-scores of the peers each adolescent had nominated. Symptom levels were measured with the Revised Child Anxiety and Depression Scale, a 47-item instrument that screens for major depressive disorder and five anxiety disorders, with subscales converted to age- and gender-normed T-scores. On average, participants scored below the borderline clinical thresholds, with mean depression and anxiety T-scores of 53.99 and 45.76 respectively, though individual scores spanned a wide range.

The analytical heart of the study lies in a statistical decomposition that separates two fundamentally different explanations for why friends’ feelings correlate. In linear mixed-effects models, each time-varying predictor is split into a between-person component—how an adolescent’s average exposure compares with the sample average—and a within-person component—how exposure at a given wave deviates from that adolescent’s own typical level. The between-person effect captures stable embedding: an adolescent who is chronically surrounded by distressed peers may simply inhabit a social environment that produces or reflects distress. The within-person effect captures momentary synchrony: a teenager faring worse than usual when their friends are also worse than usual. Critically, the models also adjusted for a battery of confounders, both stable and time-varying, including the number of friends nominated (outdegree), the number of nominations received (indegree), past six-month substance use, experiences of in-person or online bullying, time spent across twelve social media platforms, and fixed demographics including sexual identity, gender identity, race, and ethnicity.

The results were consistent for both outcomes. For depression, within-person effects were statistically significant but small (b = 0.01, 95% CI [0.00, 0.03], p = .045): when adolescents were exposed to more depressed friends than usual, they reported slightly higher depression than was typical for them. The between-person effect was roughly five times larger (b = 0.05, 95% CI [0.01, 0.08], p = .005): adolescents chronically embedded in more depressed peer networks reported meaningfully higher depression across the study period, with predicted T-scores rising from about 53 to 58 across the observed distribution of exposure. Anxiety told the same story. Within-person deviations in exposure to anxious friends predicted deviations in personal anxiety (b = 0.01, p = .038), while chronic exposure carried a somewhat larger stable association (b = 0.06, 95% CI [0.02, 0.09], p = .001). Yet in both cases the network exposure terms added less than a quarter of a percentage point of explained variance—a strikingly modest contribution compared with other risk factors in the models.

Those other factors, in fact, dwarfed the peer effects. Being bullied in the past six months predicted sharp within-person spikes in both depression (b = 2.47, p < .001) and anxiety (b = 2.02, p < .001), and adolescents who were chronically bullied scored, on average, more than eight to ten T-score points higher on both outcomes. Heavier social media use independently predicted elevated symptoms both within and between persons, and adolescents who more often reported recent substance use scored substantially higher on depression (b = 5.77, p < .001). Demographic disparities were also pronounced: sexual minority, questioning, and transgender or non-binary adolescents reported significantly higher depression and anxiety than their heterosexual and cisgender male peers, with depression gaps of six to eight points—effects far exceeding anything attributable to peer exposure.

To determine whether the small concurrent co-variation reflected genuine peer influence, the team ran a supplemental set of Random Intercept Cross-Lagged Panel Models (RI-CLPMs), a technique that separates stable trait-like differences from genuine within-person temporal dynamics. The results were decisive. For both depression and anxiety, exposure to peers’ symptoms did not predict subsequent increases in adolescents’ own symptoms six months later—no social contagion. Instead, the analysis revealed an asymmetric pathway for depression: adolescents whose own depressive symptoms rose subsequently showed increases in the average depression of their peer networks (β = 0.052, p = .030), a pattern more consistent with social selection—distressed adolescents coming to affiliate with distressed peers—than with influence. With cross-lagged effects accounted for, the clustering of internalizing symptoms emerged as overwhelmingly a product of stable between-person differences, a signature of homophily and enduring social sorting rather than moment-to-moment emotional transmission.

The authors offer several explanations for why influence effects, widely reported in earlier literature, failed to appear. Peer influence on mood may operate on timescales of days or weeks, faster than semiannual measurement can detect. Average symptom levels in the sample, and in peer networks especially, were low, and emotional states may require sustained, reinforced exposure through strong ties to spread—a logic consistent with complexity contagion theory, which holds that behaviors and states requiring social reinforcement need multiple reinforcing contacts. And because friendship nominations were not held constant across waves, changing network composition may have diluted any influence signal.

Whatever the mechanism, the practical implications are substantial. Because a symptomatic peer network proved to be a stable, persistent feature of adolescents’ social organization rather than a transient state, the researchers argue that clinicians and school counselors should consider assessing the emotional tone of a student’s friend group during intake, even when the individual student’s symptoms appear mild. If an entire friend cluster is struggling, treating one member in isolation is unlikely to be sufficient; classroom- and cohort-level interventions—peer support networks, mental health literacy curricula, and gatekeeper training that teaches peers to recognize distress—are better matched to the data. The findings also underscore that stably elevated symptoms concentrate among already-marginalized youth, who may form networks with others facing the same stressors, compounding risk; identity-conscious, affirming peer support structures are therefore a priority.

The study is not without limitations. It focused on within-school, grade-level friendships, leaving other peer contexts—classmates, extracurricular groups, friends of friends—unexamined. Exposure was measured through outgoing ties, whereas reciprocated friendships may be stronger conduits for co-rumination, the problem-focused conversation style known to mediate internalizing symptom similarity. And the content of friendships themselves was not observed. Future work, the authors suggest, should employ longitudinal social network models to examine the co-evolution of friendship change and emotional change. Still, the central message stands: the well-documented “matching” of adolescent friends’ mental health is primarily a story about who ends up next to whom, not about feelings flowing between them—and interventions that ignore the peer environments and structural conditions in which teenagers are embedded may be treating the wrong target.

Importantly, the study distinguishes between bullying experiences occurring in childhood versus adolescence, uncovering a pronounced difference in psychological vulnerability between these developmental stages. Adolescents exposed to peer bullying exhibited more severe anxiety and depression symptoms compared to those bullied during earlier childhood. Dr. Heard-Garris attributes this heightened susceptibility to adolescence to increased social sensitivity during this period, when peer acceptance assumes paramount importance and influences self-identity formation. The researchers emphasize that adolescents’ complex social dynamics can amplify the emotional toll of bullying, thus necessitating protective factors like school connectedness to counterbalance these effects.

School connectedness was operationalized through multiple parameters, including how inclusive the school culture feels, the closeness of student relationships, overall happiness, and the perceived safety of the school environment. The analysis shows that fostering these elements does not merely create a pleasant school atmosphere but tangibly serves as a psychological shield for vulnerable youths. High school connectedness notably correlates with lower depression symptoms, suggesting that when students feel genuinely embedded and supported within their school community, they are better equipped to withstand the detrimental effects of bullying.

The study’s methodology involved a substantial sample size of 2,175 adolescents, representative of populations born in major U.S. cities between 1998 and 2000. The researchers strategically focused on two critical ages—9 and 15—to assess bullying’s immediate and cumulative psychological outcomes. This longitudinal approach allowed the identification of victims of bullying exclusively in childhood, exclusively in adolescence, and across both periods, thereby addressing a common gap in bullying research where a single time-point evaluation risks overlooking long-term effects.

Significantly, approximately 12 percent of participants reported experiencing bullying at both 9 and 15 years old, indicating chronic victimization, while 43 percent experienced bullying solely at age 9, and nearly 6 percent only at age 15. Nearly 40 percent had no self-reported bullying history at these ages. The data underscore the intricate nature of bullying exposure and its temporal dynamics, which can differentially influence mental health trajectories. These distinctions are imperative for tailoring effective interventions and preventive strategies targeting youth mental health.

Dr. Heard-Garris highlights that the adolescent period emerges as a particularly sensitive window for psychological distress associated with bullying. Although bullying incidents were statistically more frequent during childhood, the associated mental health consequences were markedly more severe when bullying occurred during adolescence. This finding counters some longstanding assumptions and reframes how clinicians, educators, and policymakers understand risk periods for mental health deterioration following peer victimization.

Moreover, the study advocates for a shift in school policy and educational practice emphasizing the creation and maintenance of school connectedness as a frontline defense against adolescent depression linked to bullying. Practical recommendations include enhancing teacher-facilitated peer support systems, encouraging collaborative learning projects, and promoting social inclusivity to foster interpersonal understanding and reduce isolation or exclusion among students. These strategies align with emerging pedagogical models that prioritize socio-emotional learning alongside academic achievement.

The research also brings to light the critical limitation in existing literature on bullying victimization: the frequent reliance on single time-point assessments. This approach risks underestimating prolonged or cumulative effects from bullying across childhood and adolescence. By incorporating a dual-time point analysis, the current study establishes a nuanced understanding of how persistent, repeated victimization can exacerbate mental health vulnerabilities, and how school connectedness can modulate these trajectories.

Looking ahead, Dr. Heard-Garris calls for longitudinal studies extending into early, middle, and late adulthood to delineate whether the mental health impacts of adolescent peer bullying endure beyond youth. Understanding the long-term psychosocial sequelae is vital for developing lifespan mental health interventions and could inform public health strategies aimed at early identification and support of bullying victims.

This research emerges from the robust institutional infrastructure of Ann & Robert H. Lurie Children’s Hospital of Chicago, a nationally recognized leader in pediatric medicine and child health research. Through the Stanley Manne Children’s Research Institute, the hospital advances transformative pediatric research aimed at addressing complex physical and mental health challenges confronting children and adolescents. The partnership with Northwestern University Feinberg School of Medicine underscores a commitment to integrating clinical expertise with innovative scientific inquiry.

Bullying remains a pervasive social challenge with profound implications for youth mental health and well-being. This study reinforces the crucial role of the school environment not just as a site of risk but as a potential site of resilience. By fostering strong, inclusive, and supportive school communities, educators and policymakers can create conditions that protect vulnerable adolescents from the psychological harms associated with bullying. The findings compel stakeholders to prioritize school connectedness as an essential dimension of youth mental health promotion and bullying prevention.

Ultimately, this research expands the scientific discourse around the psychosocial dynamics of bullying and mental health in adolescence. It bridges a critical knowledge gap regarding the timing and cumulative effects of peer victimization while foregrounding school connectedness as a modifiable protective factor. The implications resonate across domains of pediatric healthcare, educational psychology, and social policy, providing a scientifically grounded roadmap for mitigating adolescent depression in the face of bullying.

Subject of Research: The psychological effects of peer bullying during childhood and adolescence and the protective role of school connectedness in mitigating depression and anxiety symptoms.

Article Title: Not explicitly provided in the content.

News Publication Date: Not specified.

Web References:

• BMC Public Health Article
• DOI: 10.1186/s12889-025-24002-6

References: Not explicitly listed in the content.

Image Credits: Not provided.

Keywords: Adolescents, Depression, Peer bullying, School connectedness, Anxiety, Mental health, Pediatric psychology, Social sciences

Binge gaming, defined by extended uninterrupted gaming sessions often spanning several hours, has emerged as a behavior of growing concern worldwide. Unlike casual or moderate gaming, binge gaming involves intensive and disproportionate engagement with digital games, which can precipitate a cascade of neuropsychological alterations. The current study meticulously dissected the prevalence of binge gaming across genders, revealing a notably higher incidence among boys compared to girls, a disparity that mirrors previous global trends yet invites further inquiry into gender-specific vulnerabilities and sociocultural drivers.

Among the most striking findings of this survey is the robust correlation between binge gaming and a spectrum of mental health disorders, including clinically significant levels of depression and anxiety. Utilizing standardized diagnostic scales, researchers quantified these associations, highlighting that children and adolescents engaging in binge gaming were disproportionately likely to report symptoms consistent with mood disturbances. The pathophysiological underpinnings of this relationship suggest that excessive gaming may disrupt neural circuits involved in emotional regulation and stress response, potentially exacerbating or even precipitating psychopathology.

Another pivotal dimension illuminated by this research pertains to the deleterious effects of binge gaming on sleep quality. Sleep disturbances, a critical factor in cognitive and emotional health, were reported with notable frequency among binge gamers. The mechanistic explanations for impaired sleep include dysregulated circadian rhythms due to prolonged screen exposure, heightened cognitive and emotional arousal from gaming content, and behavioral displacement of sleep time. The resultant sleep deficits subsequently compound the risk for mood disorders and impair daytime functioning, generating a vicious cycle that perpetuates gaming addiction and psychological distress.

Academically, the impact of binge gaming was equally profound. The study documented a consistent pattern of poorer academic outcomes among youth with excessive gaming behaviors. This encompasses diminished concentration, lowered classroom engagement, and suboptimal performance on standardized academic assessments. The cognitive load imposed by extended gaming sessions may interfere with executive functioning, working memory, and attentional control, which are indispensable for effective learning. Furthermore, the time investment in gaming likely competes with study time, exacerbating educational setbacks.

Socially, binge gaming exhibited ambivalent consequences. While gaming communities can foster social interaction and peer bonding, binge gaming in excess was correlated with social withdrawal and reduced participation in extracurricular activities. This paradox underscores the complex nature of digital engagement, where virtual socialization may replace offline interpersonal connections, potentially impairing social skills development and emotional intimacy.

The gender disparities observed in this research further nuance our understanding. Boys exhibited a higher propensity to engage in binge gaming, reinforcing prior data suggesting gendered differences in gaming preferences and susceptibilities. These differences may stem from sociocultural norms, peer influences, and gender-specific neurobiological vulnerabilities. Recognizing these distinctions is critical for tailoring preventative interventions and therapeutic strategies.

Notably, the large, representative sample size and the application of validated measurement tools in this study bolster the reliability and generalizability of its findings. The researchers employed cross-sectional survey methodologies coupled with standardized inventories for assessing mental health symptoms, gaming behavior patterns, and academic and social functioning, allowing for a comprehensive multivariate analysis that adjusted for potential confounders.

The implications of these findings resonate beyond clinical psychology and education, beckoning multi-sectoral collaboration to address burgeoning public health concerns linked to digital media consumption. Policy frameworks must incorporate evidence-based guidelines for healthy gaming habits, parental monitoring, and early identification of at-risk youth.

Moreover, the neuroscientific community is called upon to delve deeper into the mechanistic pathways by which binge gaming influences brain development and function. Longitudinal neuroimaging studies may elucidate the temporal sequence and causal links between excessive gaming, neurocognitive alterations, and mental health disorders, offering targets for intervention.

In educational settings, integrating awareness programs about the risks of binge gaming could mitigate its negative outcomes, fostering healthier digital habits among students. Schools might consider screening for gaming behavior as part of routine psychosocial evaluations, ensuring timely support.

This study’s findings also accentuate the importance of precise operational definitions in behavioral research. The distinction between “binge gaming” and general gaming clarifies behavioral phenotypes and their differential impacts, guiding both research and clinical practice.

In summary, this seminal school-based survey from Hong Kong presents compelling evidence that binge gaming transcends a mere recreational activity, exerting pervasive effects on mental health, sleep, academic achievement, and social functioning, with pronounced gender disparities. It underscores the urgent need for integrative strategies encompassing research, policy, education, and clinical practice to mitigate the adverse consequences of this modern behavioral phenomenon.

Subject of Research: Binge gaming and its associations with mental health, academic performance, sleep quality, and social outcomes among children and adolescents in Hong Kong.

Article Title: The roles of binge gaming in social, academic and mental health outcomes and gender differences: A school-based survey in Hong Kong

News Publication Date: 13-Aug-2025

Web References: http://dx.doi.org/10.1371/journal.pone.0327365

Image Credits: lalesh aldarwish, Pexels, CC0

Keywords: binge gaming, depression, anxiety, sleep disturbances, academic performance, social outcomes, children, adolescents, gender differences, mental health, digital addiction

The study was conducted with a sizable cohort of 866 Chinese junior high school students, averaging 12.73 years of age, encompassing both genders with a slight majority of boys. These individuals participated across three distinct measurement points, allowing for temporal assessment of symptom progression and interaction. This longitudinal design is crucial, as it transcends the typical cross-sectional snapshot, illuminating how symptoms evolve and reciprocally influence each other over months or years.

One of the most salient findings relates to the comorbidity rates observed: between roughly 10.5% and 15.1% of adolescents exhibited both NSSI and depressive symptomatology. This significant overlap underlines the critical need for integrated treatment frameworks addressing both phenomena simultaneously, rather than in isolation. Understanding how one condition might exacerbate or modulate the other is indispensable for clinicians aiming to interrupt maladaptive cycles before they intensify.

The employment of the cross-lagged panel network analysis represents a methodological innovation in this field. Unlike traditional approaches that might analyze symptoms as binary or aggregate categories, CLPN enables researchers to visualize and quantify dynamic, bidirectional relationships between individual symptoms across time points. Through this lens, complex symptom networks are rendered as interactive nodes—highlighting which symptoms act as pivotal drivers or bridges in the interconnected web of adolescent psychopathology.

Notably, the analysis yielded striking evidence that specific depressive symptoms such as somatic complaints and psychomotor retardation (slowed physical and cognitive activity), emotional states like depressed affect, and a diminished capacity for positive emotions, were closely linked with multiple forms of NSSI behaviors. These findings illuminate particular symptom clusters that may serve as leverage points in therapeutic interventions, where mitigating these depressive indicators could simultaneously reduce self-injurious behaviors.

Conversely, some components within the NSSI network exhibited predictive relationships that inversely correlated with depressive symptoms. For instance, the sensation often described as “burning” experienced during self-injury was found to negatively forecast somatic and retarded activity symptoms as well as depressed affect. This counterintuitive feedback loop hints at complex intrapersonal mechanisms, perhaps indicative of NSSI’s role in momentary emotional regulation and negative reinforcement processes—where self-injury transiently alleviates distressing depressive symptoms, reinforcing its recurrence.

Crucially, the study identified “bridge symptoms” that form the nexus between NSSI and depression, effectively serving as conduits facilitating their co-occurrence. Somatic and retarded activity emerged as central bridge symptoms, underscoring their potential as primary targets in clinical settings aiming to disrupt the perpetuation of comorbid presentations. Targeted treatments addressing these core symptoms may curtail the mutual reinforcement cycle that often renders both NSSI and depression intractable.

The findings also reinforce theoretical models positing that NSSI operates as a form of intrapersonal negative reinforcement—a means by which adolescents attempt to modulate aversive internal states such as depressive affect and somatic distress. This mechanistic insight not only enriches the understanding of underlying psychopathology but also justifies behavioral interventions focusing on alternative coping strategies that could replace self-injurious behaviors with healthier emotional regulation techniques.

Moreover, the study’s culturally contextualized data, derived from Chinese adolescents, contribute to the global discourse on adolescent mental health by validating these symptom networks beyond Western populations. Cultural factors often influence the expression and perception of mental illnesses, and this research underscores the universality of these symptom relationships, while inviting further cross-cultural comparative analyses to tailor region-specific interventions.

From a public health perspective, the documented prevalence and intricate symptom interplay highlight the urgent necessity for early identification and comprehensive prevention programs in schools and community settings. Educators, parents, and mental health practitioners must be equipped to recognize early markers not only of depressive symptoms but also subtle NSSI behaviors that frequently precede suicidal tendencies and other severe outcomes.

In terms of clinical application, these results advocate for multi-faceted assessment tools that account for the temporal and reciprocal nature of symptom interactions. Static diagnostic criteria may fail to capture the evolving landscape of adolescent mental health challenges. Dynamic network models such as CLPN can provide clinicians with predictive analytics capable of informing personalized treatment plans and monitoring progress over time.

The study also raises important questions for future research, particularly regarding the neurobiological underpinnings correlating to these symptom interactions. Understanding whether specific neural circuits or neurotransmitter systems are involved in the observed feedback loops could propel the development of pharmacological adjuncts to psychological therapies, thereby enhancing efficacy.

Finally, this research exemplifies the power of innovative methodological frameworks to dissect the complexity of adolescent mental health disorders. By moving beyond simplistic cause-effect paradigms and embracing network approaches that recognize the interconnectedness of symptoms, the scientific and clinical communities are better positioned to address the multifaceted challenges posed by NSSI and depression.

As adolescent psychopathology continues to affect millions worldwide, these insights offer a promising step forward in combating self-injurious behaviors and depressive symptoms in tandem. By identifying critical symptom clusters and feedback mechanisms, this study paves the way for novel, integrated treatment approaches that could alleviate the substantial burden on young individuals and their families.

Subject of Research: Longitudinal relationships between non-suicidal self-injury and depressive symptoms in adolescents using cross-lagged panel network analysis

Article Title: Exploring the longitudinal relationships between non-suicidal self-injury and depressive symptoms in adolescents: a cross-lagged panel network analysis

Article References:
Jia, Q., Wu, Z., Liu, B. et al. Exploring the longitudinal relationships between non-suicidal self-injury and depressive symptoms in adolescents: a cross-lagged panel network analysis. BMC Psychiatry 25, 358 (2025). https://doi.org/10.1186/s12888-025-06806-3

Image Credits: AI Generated

DOI: https://doi.org/10.1186/s12888-025-06806-3