Adolescent Development Research Articles

Longitudinal and Geographic Trends in Perceived Racial Discrimination Among Adolescents in the U.S.: The Adolescent Brain Cognitive Development (ABCD) Study.

This study examines longitudinal and geographic trends in perceived racial discrimination among U.S. adolescents using data from the Adolescent Brain Cognitive Development (ABCD) Study. A diverse sample of 11,868 children aged 9-10 at baseline from 22 sites across the U.S. was analyzed, assessing perceived discrimination at ages 10-11, 11-12, and 13-14 using items adapted from the Perceived Discrimination Scale. Binomial logistic regression models were used to evaluate longitudinal trends and geographic variation, adjusting for demographic factors such as race/ethnicity, parental education, and income. Results show that perceived racial discrimination increased significantly from ages 10-11 to 13-14, particularly among Black and Asian adolescents. By age 13-14, nearly half of Black adolescents and over a quarter of Asian adolescents reported discrimination. Geographic analysis revealed that Black adolescents in the Western U.S. and predominantly White affluent neighborhoods had the highest odds of perceived discrimination. Higher state-level anti-Black bias was associated with lower discrimination rates among Black adolescents but higher rates for Asian adolescents. These findings highlight the evolving nature of racial discrimination during adolescence and underscore the need for targeted interventions that address racism's mental health impacts on adolescents, particularly in high-risk geographic and socio-economic contexts.

Optimization of self- or parent-reported psychiatric phenotypes in longitudinal studies.

The Adolescent Brain Cognitive Development (ABCD) study is a longitudinal study of US adolescents with a wide breadth of psychiatric, neuroimaging and genetic data that can be leveraged to better understand psychiatric diseases. The reliability and validity of the psychiatric data collected have not yet been examined. This study aims to explore and optimize the reliability/validity of psychiatric diagnostic constructs in the ABCD study. Parent-and-child-reported psychiatric data for 11,876 children (aged 9.5 ± 0.5 at first assessment) were examined over 4 years to derive specific constructs for psychiatric diagnoses using longitudinal information. Rates of psychiatric disorders were calculated and compared to those reported in the epidemiological literature. The rates of self-reported psychiatric disorders at any single time point (broad diagnostic construct) were higher than indicated by epidemiological studies. Narrow diagnostic constructs, which required the endorsement of psychiatric disorders at a majority of longitudinal assessments, demonstrated a better rate approximation of literature-reported prevalences for most disorders (e.g. the prevalence of broad obsessive-compulsive disorder (OCD) was 13.3% compared to narrow OCD at 2.6% and a literature-reported prevalence of 2.3%). Analysis of comorbidity, using OCD as a representative example, also showed a better approximation of literature-reported comorbidity rates using the narrow construct, with some exceptions. Self- or parent-report-based assessments tend to overestimate prevalences of psychiatric disorders in the ABCD Study, particularly when longitudinal data are summed to create lifetime prevalences. Such assessments should be accompanied by more in-depth assessments or clinician-administered structured interviews if using data where accurate disorder classifications are paramount.

Efficient federated learning for distributed neuroimaging data.

Recent advancements in neuroimaging have led to greater data sharing among the scientific community. However, institutions frequently maintain control over their data, citing concerns related to research culture, privacy, and accountability. This creates a demand for innovative tools capable of analyzing amalgamated datasets without the need to transfer actual data between entities. To address this challenge, we propose a decentralized sparse federated learning (FL) strategy. This approach emphasizes local training of sparse models to facilitate efficient communication within such frameworks. By capitalizing on model sparsity and selectively sharing parameters between client sites during the training phase, our method significantly lowers communication overheads. This advantage becomes increasingly pronounced when dealing with larger models and accommodating the diverse resource capabilities of various sites. We demonstrate the effectiveness of our approach through the application to the Adolescent Brain Cognitive Development (ABCD) dataset.

Sex differences in the association between waist circumference and physical fitness index among Tajik adolescents in the Pamir Mountains of Xinjiang, China: an observational study

BackgroundIt has been reported in the literature that waist circumference (WC) was related to physical fitness in adolescents. However, the association between WC and PFI(physical fitness index), a comprehensive indicator of physical fitness, has been less studied. In addition, it is not clear whether the association between WC and PFI changes depending on altitude, ethnicity, and sex. This study further revealed the correlation between WC and PFI among adolescents in high-altitude areas and provided references for the physical and healthy development of adolescents in high-altitude areas.MethodsIn this study, a total of 1705 Tajik adolescents aged 13–15 years were selected using stratified whole-population sampling. WC and physical fitness items (grip strength, standing long jump, 50 m dash, and endurance run) were assessed and a standardized method was used to calculate PFI. The association between WC and PFI was analyzed by curvilinear regression analysis.ResultsThe mean and standard deviation of WC and PFI for Tajik adolescents aged 13–15 years old on the Pamir Plateau in Xinjiang, China, were 68.26 ± 7.75 cm and − 2.00 ± 3.47 respectively. Comparison of PFI between groups of Tajik adolescents with different WC showed that inter-group comparisons had significant effects with effect size above 0.2. The Tajik adolescents’ PFI reached its highest when WC was 61 cm for boys(-1.3207), and 60 cm for girls (-1.0556).ConclusionsThe association between WC and PFI in Tajik adolescents showed an inverted “U” curve, with no sex difference. It is recommended that the WC of Tajik adolescents should be controlled between 60 and 61 cm to maintain better PFI levels. The study provides support and reference for educational policy-making and public health prevention in the Pamir Plateau in Xinjiang, China.

COVID-19 lockdown effects on adolescent brain structure suggest accelerated maturation that is more pronounced in females than in males

Adolescence is a period of substantial social-emotional development, accompanied by dramatic changes to brain structure and function. Social isolation due to lockdowns that were imposed because of the COVID-19 pandemic had a detrimental impact on adolescent mental health, with the mental health of females more affected than males. We assessed the impact of the COVID-19 pandemic lockdowns on adolescent brain structure with a focus on sex differences. We collected MRI structural data longitudinally from adolescents prior to and after the pandemic lockdowns. The pre-COVID data were used to create a normative model of cortical thickness change with age during typical adolescent development. Cortical thickness values in the post-COVID data were compared to this normative model. The analysis revealed accelerated cortical thinning in the post-COVID brain, which was more widespread throughout the brain and greater in magnitude in females than in males. When measured in terms of equivalent years of development, the mean acceleration was found to be 4.2 y in females and 1.4 y in males. Accelerated brain maturation as a result of chronic stress or adversity during development has been well documented. These findings suggest that the lifestyle disruptions associated with the COVID-19 pandemic lockdowns caused changes in brain biology and had a more severe impact on the female than the male brain.

Cognitive processing speed and accuracy are intrinsically different in genetic architecture and brain phenotypes

Since the birth of cognitive science, researchers have used reaction time and accuracy to measure cognitive ability. Although recognition of these two measures is often based on empirical observations, the underlying consensus is that most cognitive behaviors may be along two fundamental dimensions: cognitive processing speed (CPS) and cognitive processing accuracy (CPA). In this study, we used genomic-wide association studies (GWAS) data from 14 cognitive traits to show the presence of those two factors and revealed the specific neurobiological basis underlying them. We identified that CPS and CPA had distinct brain phenotypes (e.g. white matter microstructure), neurobiological bases (e.g. postsynaptic membrane), and developmental periods (i.e. late infancy). Moreover, those two factors showed differential associations with other health-related traits such as screen exposure and sleep status, and a significant causal relationship with psychiatric disorders such as major depressive disorder and schizophrenia. Utilizing an independent cohort from the Adolescent Brain Cognitive Development (ABCD) study, we also uncovered the distinct contributions of those two factors on the cognitive development of young adolescents. These findings reveal two fundamental factors underlying various cognitive abilities, elucidate the distinct brain structural fingerprint and genetic architecture of CPS and CPA, and hint at the complex interrelationship between cognitive ability, lifestyle, and mental health.

Screen time, problematic screen use, and eating disorder symptoms among early adolescents: findings from the Adolescent Brain Cognitive Development (ABCD) Study

PurposeEmerging research evidence suggests positive relationships between higher screen time and eating disorders. However, few studies have examined the prospective associations between screen use and eating disorder symptoms in early adolescents and how problematic screen use may contribute to symptom development.MethodsWe analyzed prospective cohort data from the Adolescent Brain Cognitive Development (ABCD) Study (N = 10,246, 2016–2020, ages 9–14). Logistic regression analyses were used to estimate the longitudinal associations between baseline self-reported screen time and eating disorder symptoms in year two. Logistic regression analyses were also used to estimate cross-sectional associations between problematic screen use in year two (either problematic social media or mobile phone use) and eating disorder symptoms in year two. Eating disorder symptoms based on the Kiddie Schedule for Affective Disorders and Schizophrenia (KSADS-5) included fear of weight gain, self-worth tied to weight, engaging in compensatory behaviors, binge eating, and distress with binge eating.ResultsEach additional hour of total screen time and social media use was associated with higher odds of fear of weight gain, self-worth tied to weight, compensatory behaviors to prevent weight gain, binge eating, and distress with binge eating two years later (odds ratio [OR] 1.05–1.55). Both problematic social media and mobile phone use were associated with higher odds of all eating disorder symptoms (OR 1.26–1.82).ConclusionsFindings suggest greater total screen time, social media use, and problematic screen use are associated with more eating disorder symptoms in early adolescence. Clinicians should consider assessing for problem screen use and, when high, screen for disordered eating.Level of evidenceLevel III: Evidence obtained from well-designed cohort or case–control analytic studies.

Sex-specific differences in brain activity dynamics of youth with a family history of substance use disorder.

An individual's risk of substance use disorder (SUD) is shaped by a complex interplay of potent biosocial factors. Current neurodevelopmental models posit vulnerability to SUD in youth is due to an overreactive reward system and reduced inhibitory control. Having a family history of SUD is a particularly strong risk factor, yet few studies have explored its impact on brain function and structure prior to substance exposure. Herein, we utilized a network control theory approach to quantify sex-specific differences in brain activity dynamics in youth with and without a family history of SUD, drawn from a large cohort of substance-naïve youth from the Adolescent Brain Cognitive Development Study. We summarize brain dynamics by calculating transition energy, which probes the ease with which a whole brain, region or network drives the brain towards a specific spatial pattern of activation (i.e., brain state). Our findings reveal that a family history of SUD is associated with alterations in the brain's dynamics wherein: i) independent of sex, certain regions' transition energies are higher in those with a family history of SUD and ii) there exist sex-specific differences in SUD family history groups at multiple levels of transition energy (global, network, and regional). Family history-by-sex effects reveal that energetic demand is increased in females with a family history of SUD and decreased in males with a family history of SUD, compared to their same-sex counterparts with no SUD family history. Specifically, we localize these effects to higher energetic demands of the default mode network in females with a family history of SUD and lower energetic demands of attention networks in males with a family history of SUD. These results suggest a family history of SUD may increase reward saliency in males and decrease efficiency of top-down inhibitory control in females. This work could be used to inform personalized intervention strategies that may target differing cognitive mechanisms that predispose individuals to the development of SUD.

Depressive symptoms during the transition to adolescence: Left hippocampal volume as a marker of social context sensitivity

The transition to adolescence is a critical period for mental health development. Socio-experiential environments play an important role in the emergence of depressive symptoms with some adolescents showing more sensitivity to social contexts than others. Drawing on recent developmental neuroscience advances, we examined whether hippocampal volume amplifies social context effects in the transition to adolescence. We analyzed 2-y longitudinal data from the Adolescent Brain Cognitive Development (ABCD®) study in a diverse sample of 11,832 youth (mean age: 9.914 y; range: 8.917 to 11.083 y; 47.8% girls) from 21 sites across the United States. Socio-experiential environments (i.e., family conflict, primary caregiver's depressive symptoms, parental warmth, peer victimization, and prosocial school environment), hippocampal volume, and a wide range of demographic characteristics were measured at baseline. Youth's symptoms of major depressive disorder were assessed at both baseline and 2 y later. Multilevel mixed-effects linear regression analyses showed that negative social environments (i.e., family conflict, primary caregiver's depressive symptoms, and peer victimization) and the absence of positive social environments (i.e., parental warmth and prosocial school environment) predicted greater increases in youth's depressive symptoms over 2 y. Importantly, left hippocampal volume amplified social context effects such that youth with larger left hippocampal volume experienced greater increases in depressive symptoms in more negative and less positive social environments. Consistent with brain-environment interaction models of mental health, these findings underscore the importance of families, peers, and schools in the development of depression during the transition to adolescence and show how neural structure amplifies social context sensitivity.

Assessing a prediction model for depression risk using an early adolescent sample with self‐reported depression

AbstractBackgroundMajor depressive disorder (MDD) in adolescence is a risk factor for poor physical and psychiatric outcomes in adulthood, with earlier age of onset associated with poorer outcomes. Identifying Depression Early in Adolescence Risk Score (IDEA‐RS) is a model for predicting MDD in youth aged >15 years, but replication in younger samples (<15 years) is lacking. Here, we tested IDEA‐RS in a younger sample (9–11 years) to assess whether IDEA‐RS could be applied to earlier onset depression.MethodsWe applied IDEA‐RS predictor weights to 9854 adolescents (9–11 years) from the Adolescent Brain Cognitive Development (ABCD) Study, United States. We derived incident depression outcomes from self‐reported data at 2‐year follow‐up (11–13 years): incident MDD and increase in depression symptoms (DS). Sensitivity analyses were conducted using parent‐reported data. We assessed accuracy and calibration in predicting self‐reported incident depression and compared this to a refitted model with predictor weights derived in ABCD. Lastly, we tested associations between IDEA‐RS predictors and self‐reported incident depression.ResultsExternal replication yielded better‐than‐chance discriminative capacity for self‐reported incident depression (MDD: AUC = 61.4%, 95% CI = 53.5%–69.4%; DS: AUC = 57.9%, 95% CI = 54.6%–61.3%) but showed poor calibration with overly extreme risk estimates. Re‐estimating predictor weights improved discriminative capacity (MDD: AUC = 75.9%, 95% CI = 70.3%–81.4%; DS: AUC = 64.8%, 95% CI = 61.9%–67.7%) and calibration. IDEA‐RS predictors ‘poorest level of relationship with the primary caregiver’ (OR = 4.25, 95% CI = 1.73–10.41) and ‘high/highest levels of family conflict’ (OR = 3.36 [95% CI = 1.34–8.43] and OR = 3.76 [95% CI = 1.50–9.38], respectively) showed greatest associations with self‐reported incident MDD.ConclusionsWhile IDEA‐RS yields better‐than‐chance predictions on external replication, accuracy is improved when differences between samples, such as case‐control mix, are adjusted for. IDEA‐RS may be more suited to research settings with sufficient data for refitting. Altogether, we find that IDEA‐RS can be generalisable to early adolescents after refitting and that family dysfunction may be especially impactful for this period of development.

Adolescent development of anxiety-related behavior and shifts in behavioral responsiveness to estradiol in female mice.

Early pubertal onset during adolescence is consistently linked with increased risk of anxiety and depression in girls. Although estradiol tends to have anxiolytic effects in adulthood, whether sensitivity to estradiol's anxiolytic actions increases during adolescence is not clear. Using a rodent model, the current study tested the hypothesis that a shift in sensitivity to the anxiolytic effects of estradiol occurs during adolescence. To test this hypothesis, prepubertal and adult C57BL/6 female mice were ovariectomized, implanted with vehicle- or estradiol-filled silastic capsules, and behavioral tested one week later in the open field and elevated zero maze. Our hypothesis predicted that estradiol would decrease anxiety-related behavior to a greater extent in adults than in adolescent females, however, our results did not support this hypothesis. In the open field, estradiol implants significantly decreased anxiety-like behavior in adolescent females (relative to vehicle) and had little to no effect on the behavior of adults. These data suggest that adolescence is associated with a downward shift in sensitivity to the anxiolytic effects of estradiol on behavior in the open field. In contrast, although estradiol treatment did not influence anxiety-like responses in the elevated zero maze in early adolescent or adult females, adolescent females displayed significantly higher levels of anxiety-like behavior than adults. These findings demonstrate that substantial changes in anxiety-related behavior occur during adolescence, including a context-dependent shift in behavioral responsiveness to estradiol.

Brain structure and activity predicting cognitive maturation in adolescence.

Cognitive abilities of primates, including humans, continue to improve through adolescence 1,2. While a range of changes in brain structure and connectivity have been documented 3,4, how they affect neuronal activity that ultimately determines performance of cognitive functions remains unknown. Here, we conducted a multilevel longitudinal study of monkey adolescent neurocognitive development. The developmental trajectory of neural activity in the prefrontal cortex accounted remarkably well for working memory improvements. While complex aspects of activity changed progressively during adolescence, such as the rotation of stimulus representation in multidimensional neuronal space, which has been implicated in cognitive flexibility, even simpler attributes, such as the baseline firing rate in the period preceding a stimulus appearance had predictive power over behavior. Unexpectedly, decreases in brain volume and thickness, which are widely thought to underlie cognitive changes in humans 5 did not predict well the trajectory of neural activity or cognitive performance changes. Whole brain cortical volume in particular, exhibited an increase and reached a local maximum in late adolescence, at a time of rapid behavioral improvement. Maturation of long-distance white matter tracts linking the frontal lobe with areas of the association cortex and subcortical regions best predicted changes in neuronal activity and behavior. Our results provide evidence that optimization of neural activity depending on widely distributed circuitry effects cognitive development in adolescence.

Neural response to monetary incentives in acquired adolescent depression after mild traumatic brain injury: Stage 2 Registered Report.

Depression is a common consequence of traumatic brain injury. Separately, spontaneous depression-arising without brain injury-has been linked to abnormal responses in motivational neural circuitry to the anticipation or receipt of rewards. It is unknown if post-injury and spontaneously occurring depression share similar phenotypic profiles. This issue is compounded by the fact that nearly all examinations of these psychiatric sequelae are post hoc: there are rarely any prospective assessments of mood and neural functioning before and after a brain injury. In this Stage 2 Registered Report, we used the Adolescent Brain Cognitive Development Consortium dataset to examine if a disruption in functional neural responses to rewards is present in patients with depression after a mild traumatic brain injury. Notably, this study provides an unparalleled opportunity to examine the trajectory of neuropsychiatric symptoms longitudinally within-subjects. This allowed us to isolate mild traumatic brain injury-specific variance independent from pre-existing functioning. Here, we focus on a case-control comparison between 43 youth who experienced a mild traumatic brain injury between MRI visits, and 43 well-matched controls. Contrary to pre-registered predictions (https://osf.io/h5uba/), there was no statistically credible increase in depression in mild traumatic brain injury cases relative to controls. Mild traumatic brain injury was associated with subtle changes in motivational neural circuit recruitment during the anticipation of incentives on the Monetary Incentive Delay paradigm. Specifically, changes in neural recruitment appeared to reflect a failure to deactivate 'task-negative' brain regions (ventromedial prefrontal cortex), alongside blunted recruitment of 'task-positive' regions (anterior cingulate, anterior insula and caudate), during the anticipation of reward and loss in adolescents following mild brain injuries. Critically, these changes in brain activity were not correlated with depressive symptoms at either visit or depression change scores before and after the brain injury. Increased time since injury was associated with a recovery of cognitive functioning-driven primarily by processing speed differences-but depression did not scale with time since injury. These cognitive changes were also uncorrelated with neural changes after mild traumatic brain injury. This report provides evidence that acquired depression may not be observed as commonly after a mild traumatic brain injury in late childhood and early adolescence, relative to findings in adult cases. Several reasons for these differing findings are considered, including sampling enrichment in retrospective cohort studies, under-reporting of depressive symptoms in parent-report data, and neuroprotective factors in childhood and adolescence.

Socioeconomic resources in youth are linked to divergent patterns of network integration/segregation across the brain's transmodal axis.

Socioeconomic resources (SER) calibrate the developing brain to the current context, which can confer or attenuate risk for psychopathology across the lifespan. Recent multivariate work indicates that SER levels powerfully relate to intrinsic functional connectivity patterns across the entire brain. Nevertheless, the neuroscientific meaning of these widespread neural differences remains poorly understood, despite its translational promise for early risk identification, targeted intervention, and policy reform. In the present study, we leverage graph theory to precisely characterize multivariate and univariate associations between SER across household and neighborhood contexts and the intrinsic functional architecture of brain regions in 5,821 youth (9-10 years) from the Adolescent Brain Cognitive Development Study. First, we establish that decomposing the brain into profiles of integration and segregation captures more than half of the multivariate association between SER and functional connectivity with greater parsimony (100-fold reduction in number of features) and interpretability. Second, we show that the topological effects of SER are not uniform across the brain; rather, higher SER levels are associated with greater integration of somatomotor and subcortical systems, but greater segregation of default mode, orbitofrontal, and cerebellar systems. Finally, we demonstrate that topological associations with SER are spatially patterned along the unimodal-transmodal gradient of brain organization. These findings provide critical interpretive context for the established and widespread associations between SER and brain organization. This study highlights both higher-order and somatomotor networks that are differentially implicated in environmental stress, disadvantage, and opportunity in youth.

Bahaya dan Masalah-Masalah yang Terjadi pada Remaja dan Implikasi Perkembangan Remaja pada Pendidikan

The aim of this research is to find out how language influences and the problems that occur in adolescents and the implications of adolescent development for education. Teenagers' relationships nowadays need to get the main spotlight because in this era of global modernization and the depletion of morals and faith of people, especially teenagers today. All of this is very worrying for the nation because it is in the hands of the younger generation that the nation will be carried, the good and bad of this nation really depends on the young generation

Prenatal influences across the life course: Biobehavioral mechanisms of development.

Despite the well-established importance of prenatal experiences for offspring health throughout the lifespan, our understanding of prenatal influences on psychological outcomes faces challenges due to a wide-ranging and somewhat fragmented literature. Here, we introduce the special issue of Developmental Psychology, "Prenatal Influences Across the Life Course: Biobehavioral Mechanisms of Development," which draws together a broad collection of 12 empirical studies and one review article. These studies illustrate the diversity in biobehavioral mechanisms and biopsychosocial processes that help explain the long-term impacts of prenatal experiences on human development. Collectively, these studies help to disentangle sources of influence across different life stages (e.g., prenatal from genetic, preconception, and/or postnatal influences) and fill key gaps in the literature, such as the inclusion of minoritized populations currently underrepresented in research, the role of fathers, and protective mechanisms. The research featured in this special issue underscores both the long reach of prenatal influences on child and adolescent development as well as the challenges in observing specific biological mediators given that prenatal risks are currently operationalized as specific or broad cumulative measures. In an effort to organize this complex literature, we propose a guiding framework for how to conceptualize the continued integration of the prenatal environment into the field of developmental psychology. This framework broadens the prevailing dichotomous view of prenatal mechanisms as cumulative or specific to articulate a dimensional approach focused on adaptation. We anticipate that such an approach may uncover meaningful and observable biobehavioral mechanisms of prenatal influence on offspring development in the future. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Mechanism Underlying the Influence of Family Travel on Adolescent Self‐Differentiation: A Social Learning Theory Perspective

ABSTRACTMost tourism studies have investigated adolescent experiences and their subjective feelings toward family travel. However, the research regarding how family travel influences adolescent mental development is still fragmented. To fill this research gap, this study used social learning theory and a grounded theory approach to explore the identity development and self‐growth of 12 adolescents from families in China with family travel experiences. Taking a child‐centered and participatory approach, the adolescents and their parents (one per family) were interviewed. The data indicated that the away‐from‐home of family travel could lead adolescents to undergo internalization‐based learning as a stress response; such learning could increase adolescents' self‐differentiation by improving their self‐efficacy and enable behavioral growth and achievement. This study developed a new theory for social learning, that is environment–cognition–stress response–behavior, and the mechanisms underlying the influence of family travel on adolescent self‐differentiation emerged. This study provides theoretical contributions useful in the development of family travel experiences and products.

Neural and Behavioral Correlates of Binge Eating in 9- to 10-Year-Old Children

This observational study compared children with and without binge eating (BE) on biobehavioral measures of reward responsiveness, inhibitory control, and emotion processes, while accounting for the impact of weight. Children aged 9 to 10 years completed the baseline wave of the Adolescent Brain Cognitive Development Study (316 with BE; 7,681 without BE [no-BE]). The prevalence of binge-eating disorder in the BE group was 17.0%; clinically significant internalizing and externalizing symptoms were endorsed by 8.5% and 4.5% of the sample, respectively. The monetary incentive delay (MID) task, stop signal task (SST), and emotional N-Back (EN-Back) task were administered during neuroimaging. Analyses assessed effects of group (BE vs no-BE) on task performance and corresponding neural signal in regions of interest (ROIs). Weight status was evaluated as a covariate and as a moderator of effects. Adjusting for weight status, the BE group (vs no-BE) group showed lower activation during anticipation of reward, specifically large reward (vs no reward), in the composite ROI consisting of the dorsal striatum, nucleus accumbens, orbital frontal gyrus, amygdala, and insula. Groups did not differ significantly in other behavioral or neural outcomes. No interactions between group and weight status were observed. Blunted anticipatory responses to monetary reward were associated with binge eating during peri-adolescence and may play a role in binge eating pathophysiology. Results challenge prior findings in BE that may be confounded by weight, and highlight the importance of future prospective research across binge-eating disorder stage of illness.

Factors Associated with Interpersonal Violence and Depression Symptoms in Adolescent Students from Jalisco during the COVID-19 Pandemic

Introduction. Violence is a major public health problem, which increased during the Covid-19 pandemic, affecting the physical and mental development of adolescents. Objective. To analyze factors associated with interpersonal violence and depressive symptoms in adolescent students in the south of Jalisco. Methods. Data were drawn from an online survey of 3,046 adolescents (ages 12-19) conducted between September and December 2021. The Beck Depression Inventory was used to assess depression symptoms. Self-reports of neglect, physical, psychological, sexual, and digital violence in the previous 12 months were analyzed. Bivariate and multivariate logistic regression models explored factors associated with depression and violence. Results. A total of 28.8% of the sample reported depression symptoms, 46.9% physical violence, 42.7% psychological violence, 34.9% neglect, 12.3% digital violence, and 5.2% sexual violence. The odds of depression were higher for those who had experienced physical violence (adjusted odds ratio [aOR] = 1.3 CI 95% [1.1-1.6]), psychological violence (aOR = 4.1 CI 95% [3.4-5.1]), digital violence (aOR = 2.0 CI 95% [1.5-2.5]); and neglect (aOR = 1.6 CI 95% [1.3-1.9]). Girls and adolescents aged 15-19 had higher odds of experiencing sexual, digital, and psychological violence. Poor school performance was associated with lower odds of reporting neglect (aOR = .6 CI 95% [.5-.8]) and sexual violence (aOR = .5 CI 95% [.3-.8]), while being employed was associated with reporting higher odds of physical violence (aOR = 1.5 CI 95% [1.3-1.8]) and neglect (aOR = 1.3 CI 95% [1.1-1.5]). Greater use of social media and videogames was associated with higher odds of physical, psychological, and digital violence. Conclusion. It is necessary to implement comprehensive public programs and policies to address violence and implement intersectoral social intervention strategies in mental health.

Racism, Identity-Based Discrimination, and Intersectionality in Adolescence

Adolescence is a critical developmental stage for young people as they transition into adulthood. Several important developmental tasks that must be completed during this transition include exploring one’s identity, developing and applying abstract thinking, adjusting to a new physical sense of self, and fostering stable and productive peer relationships while striving for autonomy and independence from parents. Young people begin to adopt a personal value system and form their racial and ethnic, social, sexual, and moral identity within a society that may provide conflicting and nonaffirming messages. Adolescent development strives toward an affirmed sense of self and self-esteem, which is best accomplished within a nurturing psychosocial context that fosters positive youth development. Youth-focused interventions should intentionally promote affirmation of ancestry and cultural identity, intersections with other historically marginalized identities, and critical consciousness. Fostering healing environments that affirm and address the radical need for change, coaching parents and guardians as critical agents in the creation of affirmative environments for development, and conducting research using anti-oppressive approaches are additional strategies to promote positive youth development. Simultaneously, structural transformations that address underlying social inequities are needed. Health care systems should continue to diversify the workforce and train staff and clinicians in integrative, identity-based, and healing-centered approaches. Organizations should consider training in diversity and competencies related to belonging while safeguarding inclusion with policies, procedures, and practices. Public health and policymakers can embed intersectional approaches within structural and systemic processes, particularly in all policies.