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Adolescents in the United States live amid high levels of concentrated poverty and increasing income inequality. Poverty is robustly linked to adolescents' mental health problems; however, less is known about how perceptions of their social status and exposure to local area income inequality relate to mental health. Participants consisted of a population-representative sample of over 2,100 adolescents (ages 10-16), 395 of whom completed a 14-day ecological momentary assessment (EMA) study. Participants' subjective social status (SSS) was assessed at the start of the EMA, and mental health symptoms were measured both at baseline for the entire sample and daily in the EMA sample. Adolescents' SSS tracked family, school, and neighborhood economic indicators (|r| ranging from 0.12 to 0.30), and associations did not differ by age, race, or gender. SSS was independently associated with mental health, with stronger associations among older (ages 14-16) versus younger (ages 10-13) adolescents. Adolescents with lower SSS reported higher psychological distress and inattention problems, as well as more conduct problems, in daily life. Those living in areas with higher income inequality reported significantly lower subjective social status, but this association was explained by family and neighborhood income. Findings illustrate that adolescents' SSS is correlated with both internalizing and externalizing mental health problems, and that by age 14 it becomes a unique predictor of mental health problems.

Adolescents are spending an unprecedented amount of time using digital technologies (especially mobile technologies), and there are concerns that adolescents' constant connectivity is associated with poor mental health, particularly among at-risk adolescents. Participants included 151 adolescents at risk for mental health problems (M[subscript age] = 13.1) who completed a baseline assessment, 30-day ecological momentary assessment, and 18 month follow-up assessment. Results from multilevel regression models showed that daily reports of both time spent using digital technologies and the number of text messages sent were associated with "increased" same-day attention deficit hyperactivity disorder (ADHD) and conduct disorder (CD) symptoms. Adolescents' reported digital technology usage and text messaging across the ecological momentary assessment (EMA) period was also associated with poorer self-regulation and increases in conduct problem symptoms between the baseline and follow-up assessments.

Background and hypothesisChildren exposed to socioenvironmental adversities (eg, urbanicity, pollution, neighborhood deprivation, crime, and family disadvantage) are more likely to subsequently develop subclinical psychotic experiences during adolescence (eg, hearing voices, paranoia). However, the pathways through which this occurs have not been previously investigated. We hypothesized that cognitive ability and inflammation would partly explain this association.Study designData were utilized from the Environmental-Risk Longitudinal Twin Study, a cohort of 2232 children born in 1994-1995 in England and Wales and followed to age 18. Socioenvironmental adversities were measured from birth to age 10 and classified into physical risk (defined by high urbanicity and air pollution) and socioeconomic risk (defined by high neighborhood deprivation, neighborhood disorder, and family disadvantage). Cognitive abilities (overall, crystallized, fluid, and working memory) were assessed at age 12; and inflammatory markers (C-reactive protein, interleukin-6, soluble urokinase plasminogen activator receptor) were measured at age 18 from blood samples. Participants were interviewed at age 18 regarding psychotic experiences.Study resultsHigher physical risk and socioeconomic risk were associated with increased odds of psychotic experiences in adolescence. The largest mediation pathways were from socioeconomic risk via overall cognitive ability and crystallized ability, which accounted for ~11% and ~19% of the association with psychotic experiences, respectively. No statistically significant pathways were found via inflammatory markers in exploratory (partially cross-sectional) analyses.ConclusionsCognitive ability, especially crystallized ability, may partly explain the association between childhood socioenvironmental adversity and adolescent psychotic experiences. Interventions to support cognitive development among children living in disadvantaged settings could buffer them against developing subclinical psychotic phenomena.

Fears that digital technologies harm adolescents' mental health abound; however, existing research is mixed. This study examined how perceived technological impairment (i.e., perceptions of digital technology interfering with daily life) related to psychological distress across five years in adolescence. A latent curve model with structured residuals was applied to disentangle between-from within-person associations, in which it was tested whether (a) adolescents who increased in their perceptions of technological impairment over time also increased in psychological distress (between-person) and (b) if an adolescent who reported greater perceptions of technological impairment relative to their underlying trajectory at one wave consequently reported greater distress at the subsequent wave (within-person). These associations were tested in a sample of 2104 adolescents (Mage = 12.36; 52% girls; 48% Non-White). Perceived technological impairment and psychological distress increased together over time. Girls and older adolescents (13-15 at baseline) reported greater initial levels of perceived impairment. Younger adolescents (9-12 at baseline) increased more steeply in perceived impairment over time. There was no evidence of longitudinal within-person associations. The findings suggest that although there is evidence of between-person associations in which increases in perceived technological impairment coincide with increases in psychological distress, the absence of within-person associations cautions against a cause-and-effect narrative between digital technology use and mental health.

Children from lower-income households are at increased risk for poor health, educational failure, and behavioral problems. This social gradient is one of the most reproduced findings in health and social science. How people view their position in social hierarchies also signals poor health. However, when adolescents' views of their social position begin to independently relate to well-being is currently unknown. A cotwin design was leveraged to test whether adolescents with identical family backgrounds, but who viewed their family's social status as higher than their same-aged and sex sibling, experienced better well-being in early and late adolescence. Participants were members of the Environmental Risk Longitudinal Twin Study, a representative cohort of British twins (n = 2,232) followed across the first 2 decades of life. By late adolescence, perceptions of subjective family social status (SFSS) robustly correlated with multiple indicators of health and well-being, including depression; anxiety; conduct problems; marijuana use; optimism; not in education, employment, or training (NEET) status; and crime. Findings held controlling for objective socioeconomic status both statistically and by cotwin design after accounting for measures of childhood intelligence (IQ), negative affect, and prior mental health risk and when self-report, informant report, and administrative data were used. Little support was found for the biological embedding of adolescents' perceptions of familial social status as indexed by inflammatory biomarkers or cognitive tests in late adolescence or for SFSS in early adolescence as a robust correlate of well-being or predictor of future problems. Future experimental studies are required to test whether altering adolescents' subjective social status will lead to improved well-being and social mobility.

Adolescents are constantly connected to their devices, and concerns have been raised that this connectivity is damaging their development more generally, and their mental health in particular. Recent narrative reviews and meta-analyses do not support a strong linkage between the quantity of adolescents' digital technology engagement and mental health problems. Instead, it appears that offline vulnerabilities tend to mirror and shape online risks in ways that may further amplify mental health inequalities among youth. New approaches for supporting youth mental health, especially for vulnerable youth and those typically excluded from traditional services, are now both possible and required.
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Adolescents are spending an increasing amount of their time online and connected to each other via digital technologies. Mobile device ownership and social media usage have reached unprecedented levels, and concerns have been raised that this constant connectivity is harming adolescents' mental health. This review synthesized data from three sources: (a) narrative reviews and meta-analyses conducted between 2014 and 2019, (b) large-scale preregistered cohort studies and (c) intensive longitudinal and ecological momentary assessment studies, to summarize what is known about linkages between digital technology usage and adolescent mental health, with a specific focus on depression and anxiety. The review highlights that most research to date has been correlational, focused on adults versus adolescents, and has generated a mix of often conflicting small positive, negative and null associations. The most recent and rigorous large-scale preregistered studies report small associations between the amount of daily digital technology usage and adolescents' well-being that do not offer a way of distinguishing cause from effect and, as estimated, are unlikely to be of clinical or practical significance. Implications for improving future research and for supporting adolescents' mental health in the digital age are discussed.

This study examines whether adolescents' digital technology use is associated with mental health symptoms (N=388) during early to mid-adolescence. Adolescents completed an initial Time 1 (T1) assessment in 2015, followed by a 14-day ecological momentary assessment (EMA) via mobile phone in 2016-2017 which yielded 13,017 total observations over 5270 study days. Adolescents' T1 technology use did not predict later mental health symptoms. Adolescents' reported mental health was also not worse on days when they reported spending more versus less time on technology. Little was found to support daily quadratic associations (whereby adolescent mental health was worse on days with little or excessive use). Adolescents at higher risk for mental health problems also exhibited no signs of increased risk for mental health problems on higher technology use days. Findings from this EMA study do not support the narrative that young adolescents' digital technology usage is associated with elevated mental health symptoms.

The promise of digital tools and devices for spurring new discoveries in adolescence research is enticing. Notably, this special section draws attention to many of the advantages that mobile and wearable devices offer for ambulatory assessment research, which have now been realized. Despite such progress, digital tools have not yet delivered on their predicted revolution of adolescent health research. I offer four reasons for why digital devices have fallen short of this predicted promise. For each barrier, I suggest parallel strategies for ensuring adolescent research benefits from Ambulatory Assessment advances. To avoid being left behind, adolescence scholarship must develop in time with innovations in digital devices and platforms, which are moving forward to support basic science and interventions in mental health.

Young people's life chances can be predicted by characteristics of their neighbourhood1. Children growing up in disadvantaged neighbourhoods exhibit worse physical and mental health and suffer poorer educational and economic outcomes than children growing up in advantaged neighbourhoods. Increasing recognition that aspects of social inequalities tend, in fact, to be geographical inequalities2-5 is stimulating research and focusing policy interest on the role of place in shaping health, behaviour and social outcomes. Where neighbourhood effects are causal, neighbourhood-level interventions can be effective. Where neighbourhood effects reflect selection of families with different characteristics into different neighbourhoods, interventions should instead target families or individuals directly. To test how selection may affect different neighbourhood-linked problems, we linked neighbourhood data with genetic, health and social outcome data for >7,000 European-descent UK and US young people in the E-Risk and Add Health studies. We tested selection/concentration of genetic risks for obesity, schizophrenia, teen pregnancy and poor educational outcomes in high-risk neighbourhoods, including genetic analysis of neighbourhood mobility. Findings argue against genetic selection/concentration as an explanation for neighbourhood gradients in obesity and mental health problems. By contrast, modest genetic selection/concentration was evident for teen pregnancy and poor educational outcomes, suggesting that neighbourhood effects for these outcomes should be interpreted with care.

In this study, we investigated associations between the characteristics of the neighborhoods in which young adults live and their feelings of loneliness, using data from different sources. Participants were drawn from the Environmental Risk Longitudinal Twin Study. Loneliness was measured via self-reports at ages 12 and 18 years and also by interviewer ratings at age 18. Neighborhood characteristics were assessed between the ages of 12 and 18 via government data, systematic social observations, a resident survey, and participants' self-reports. Greater loneliness was associated with perceptions of lower collective efficacy and greater neighborhood disorder but not with more objective measures of neighborhood characteristics. Lonelier individuals perceived the collective efficacy of their neighborhoods to be lower than did their less lonely siblings who lived at the same address. These findings suggest that feelings of loneliness are associated with negatively biased perceptions of neighborhood characteristics, which may have implications for lonely individuals' likelihood of escaping loneliness.

Adolescents in the United States live amid high levels of concentrated poverty and increasing income inequality. Poverty is robustly linked to adolescents' mental health problems; however, less is known about how perceptions of their social status and exposure to local area income inequality relate to mental health. Participants consisted of a population-representative sample of over 2,100 adolescents (ages 10-16), 395 of whom completed a 14-day ecological momentary assessment (EMA) study. Participants' subjective social status (SSS) was assessed at the start of the EMA, and mental health symptoms were measured both at baseline for the entire sample and daily in the EMA sample. Adolescents' SSS tracked family, school, and neighborhood economic indicators (|r| ranging from .12 to .30), and associations did not differ by age, race, or gender. SSS was independently associated with mental health, with stronger associations among older (ages 14-16) versus younger (ages 10-13) adolescents. Adolescents with lower SSS reported higher psychological distress and inattention problems, as well as more conduct problems, in daily life. Those living in areas with higher income inequality reported significantly lower subjective social status, but this association was explained by family and neighborhood income. Findings illustrate that adolescents' SSS is correlated with both internalizing and externalizing mental health problems, and that by age 14 it becomes a unique predictor of mental health problems. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Air pollution is a worldwide environmental health issue. Increasingly, reports suggest that poor air quality may be associated with mental health problems, but these studies often use global measures and rarely focus on early development when psychopathology commonly emerges. To address this, we combined high-resolution air pollution exposure estimates and prospectively-collected phenotypic data to explore concurrent and longitudinal associations between air pollutants of major concern in urban areas and mental health problems in childhood and adolescence. Exploratory analyses were conducted on 284 London-based children from the Environmental Risk (E-Risk) Longitudinal Twin Study. Exposure to annualized PM2.5 and NO2 concentrations was estimated at address-level when children were aged 12. Symptoms of anxiety, depression, conduct disorder, and attention-deficit hyperactivity disorder were assessed at ages 12 and 18. Psychiatric diagnoses were ascertained from interviews with the participants at age 18. We found no associations between age-12 pollution exposure and concurrent mental health problems. However, age-12 pollution estimates were significantly associated with increased odds of major depressive disorder at age 18, even after controlling for common risk factors. This study demonstrates the potential utility of incorporating high-resolution pollution estimates into large epidemiological cohorts to robustly investigate associations between air pollution and youth mental health.

BackgroundThe aim of this study was to build a detailed, integrative profile of the correlates of young adults' feelings of loneliness, in terms of their current health and functioning and their childhood experiences and circumstances.MethodsData were drawn from the Environmental Risk Longitudinal Twin Study, a birth cohort of 2232 individuals born in England and Wales in 1994 and 1995. Loneliness was measured when participants were aged 18. Regression analyses were used to test concurrent associations between loneliness and health and functioning in young adulthood. Longitudinal analyses were conducted to examine childhood factors associated with young adult loneliness.ResultsLonelier young adults were more likely to experience mental health problems, to engage in physical health risk behaviours, and to use more negative strategies to cope with stress. They were less confident in their employment prospects and were more likely to be out of work. Lonelier young adults were, as children, more likely to have had mental health difficulties and to have experienced bullying and social isolation. Loneliness was evenly distributed across genders and socioeconomic backgrounds.ConclusionsYoung adults' experience of loneliness co-occurs with a diverse range of problems, with potential implications for health in later life. The findings underscore the importance of early intervention to prevent lonely young adults from being trapped in loneliness as they age.

ObjectiveDNA methylation has been proposed as an epigenetic mechanism by which early-life experiences become "embedded" in the genome and alter transcriptional processes to compromise health. The authors sought to investigate whether early-life victimization stress is associated with genome-wide DNA methylation.MethodThe authors tested the hypothesis that victimization is associated with DNA methylation in the Environmental Risk (E-Risk) Longitudinal Study, a nationally representative 1994-1995 birth cohort of 2,232 twins born in England and Wales and assessed at ages 5, 7, 10, 12, and 18 years. Multiple forms of victimization were ascertained in childhood and adolescence (including physical, sexual, and emotional abuse; neglect; exposure to intimate-partner violence; bullying; cyber-victimization; and crime).ResultsEpigenome-wide analyses of polyvictimization across childhood and adolescence revealed few significant associations with DNA methylation in peripheral blood at age 18, but these analyses were confounded by tobacco smoking and/or did not survive co-twin control tests. Secondary analyses of specific forms of victimization revealed sparse associations with DNA methylation that did not replicate across different operationalizations of the same putative victimization experience. Hypothesis-driven analyses of six candidate genes in the stress response (NR3C1, FKBP5, BDNF, AVP, CRHR1, SLC6A4) did not reveal predicted associations with DNA methylation in probes annotated to these genes.ConclusionsFindings from this epidemiological analysis of the epigenetic effects of early-life stress do not support the hypothesis of robust changes in DNA methylation in victimized young people. We need to come to terms with the possibility that epigenetic epidemiology is not yet well matched to experimental, nonhuman models in uncovering the biological embedding of stress.

PurposeIt is well-established that victims and offenders are often the same people, a phenomenon known as the victim-offender overlap, but the developmental nature of this overlap remains uncertain. In this study, we drew from a developmental theoretical framework to test effects of genetics, individual characteristics, and routine-activity-based risks. Drawing from developmental literature, we additionally tested the effect of an accumulation of adverse childhood experiences (ACEs).MethodsData came from the Environmental Risk (E-Risk) Study, a representative UK birth cohort of 2232 twins born in 1994-1995 and followed to age 18 (with 93% retention). Crime victimization and offending were assessed through self-reports at age 18 (but findings replicated using crime records). We used the classical twin study method to decompose variance in the victim-offender overlap into genetic and environmental components. We used logistic regression to test the effects of childhood risk factors.ResultsIn contrast to past twin studies, we found that environment (as well as genes) contributed to the victim-offender overlap. Our logistic regression results showed that childhood low self-control and childhood antisocial behavior nearly doubled the odds of becoming a victim-offender, compared to a victim-only or an offender-only. Each additional ACE increased the odds of becoming a victim-offender, compared to a victim-only or an offender-only, by approximately 12%, pointing to the importance of cumulative childhood adversity.ConclusionsThis study showed that the victim-offender overlap is, at least partially, developmental in nature and predictable from personal childhood characteristics and an accumulation of many adverse childhood experiences.

BackgroundLittle is known about the impact of urbanicity, adverse neighborhood conditions and violent crime victimization on the emergence of adolescent psychotic experiences.MethodsParticipants were from the Environmental Risk (E-Risk) Longitudinal Twin Study, a nationally-representative cohort of 2232 British twins who were interviewed about adolescent psychotic experiences at age 18. Urbanicity, neighborhood characteristics, and personal victimization by violent crime were measured during childhood and adolescence via geocoded census data, surveys of over 5000 immediate neighbors of the E-Risk participants, and interviews with participants themselves.ResultsAdolescents raised in urban vs rural neighborhoods were significantly more likely to have psychotic experiences (OR = 1.67, 95% CI = 1.21-2.30, P = .002). This association remained significant after considering potential confounders including family socioeconomic status, family psychiatric history, and adolescent substance problems (OR = 1.43, 95% CI = 1.01-2.03, P = .042), but became nonsignificant after considering adverse social conditions in urban neighborhoods such as low social cohesion and high neighborhood disorder (OR = 1.35, 95% CI = 0.94-1.92, P = .102). The combined association of adverse neighborhood social conditions and personal crime victimization with adolescent psychotic experiences (adjusted OR = 4.86, 95% CI = 3.28-7.20, P < .001) was substantially greater than for either exposure alone, highlighting a potential interaction between neighborhood conditions and crime victimization (interaction contrast ratio = 1.81, 95% CI = -0.03 to 3.65) that was significant at the P = .054 level.ConclusionsCumulative effects of adverse neighborhood social conditions and personal victimization by violent crime during upbringing partly explain why adolescents in urban settings are more likely to report psychotic experiences. Early intervention efforts for psychosis could be targeted towards victimized youth living in urban and socially adverse neighborhoods.

Adolescents are spending an unprecedented amount of time using digital technologies (especially mobile technologies), and there are concerns that adolescents' constant connectivity is associated with poor mental health, particularly among at-risk adolescents. Participants included 151 adolescents at risk for mental health problems (Mage  = 13.1) who completed a baseline assessment, 30-day ecological momentary assessment, and 18 month follow-up assessment. Results from multilevel regression models showed that daily reports of both time spent using digital technologies and the number of text messages sent were associated with increased same-day attention deficit hyperactivity disorder (ADHD) and conduct disorder (CD) symptoms. Adolescents' reported digital technology usage and text messaging across the ecological momentary assessment (EMA) period was also associated with poorer self-regulation and increases in conduct problem symptoms between the baseline and follow-up assessments.

Adolescent psychotic experiences increase risk for schizophrenia and other severe psychopathology in adulthood. Converging evidence implicates urban and adverse neighborhood conditions in the etiology of adolescent psychotic experiences, but the role of young people's personal perceptions of disorder (i.e., physical and social signs of threat) in their neighborhood is unknown. This was examined using data from the Environmental Risk Longitudinal Twin Study, a nationally representative birth cohort of 2,232 British twins. Participants were interviewed at age 18 about psychotic phenomena and perceptions of disorder in the neighborhood. Multilevel, longitudinal, and genetically sensitive analyses investigated the association between perceptions of neighborhood disorder and adolescent psychotic experiences. Adolescents who perceived higher levels of neighborhood disorder were significantly more likely to have psychotic experiences, even after accounting for objectively/independently measured levels of crime and disorder, neighborhood- and family-level socioeconomic status, family psychiatric history, adolescent substance and mood problems, and childhood psychotic symptoms: odds ratio = 1.62, 95% confidence interval [1.27, 2.05], p < .001. The phenotypic overlap between adolescent psychotic experiences and perceptions of neighborhood disorder was explained by overlapping common environmental influences, rC = .88, 95% confidence interval [0.26, 1.00]. Findings suggest that early psychological interventions to prevent adolescent psychotic experiences should explore the role of young people's (potentially modifiable) perceptions of threatening neighborhood conditions.

BackgroundYoung people exposed to violence are at increased risk for mental health and behavioral problems. However, very little is known about the immediate, or same-day, associations between violence exposure and adolescents' mental health symptoms or whether daily symptom or behavioral reactivity marks future problems.MethodsYoung adolescents were assessed three times a day for 30 consecutive days using mobile-phone-based Ecological Momentary Assessment (EMA) (N = 151 adolescents). Over 12,500 assessments and 4,329 person days were obtained via the EMA. Adolescents were recruited from low-income neighborhoods based on parent-reported risk for externalizing symptoms. Mental health symptoms were assessed via parent and child report at baseline, multiple times per day via EMA assessments of the adolescents, and again 18 months later when 93% of the adolescents were reinterviewed.ResultsResults from multilevel models illustrated that young adolescents were more likely to experience symptoms of anger (OR = 1.74, CI: 1.31-2.30), depression (OR = 1.66, CI: 1.26-2.19), and conduct problems (OR = 2.63, CI: 1.71-4.04) on days that they were exposed versus not exposed to violence. Increases in depressive symptoms were also observed on days following violence exposure (OR = 1.46, CI: 1.09-1.97). Adolescents with the highest levels of violence exposure across the 30-day EMA were less behaviorally reactive to violence exposures in daily life, and heightened behavioral reactivity predicted increased risk for substance use across early adolescence.ConclusionsFindings support the need to focus on both the immediate and long-term associations between violence exposure and adolescents' mental health and behavior. Results also suggest that heightened behavioral reactivity during early adolescence may signal emerging substance use problems.

BackgroundUrban upbringing is associated with a 2-fold adulthood psychosis risk, and this association replicates for childhood psychotic symptoms. No study has investigated whether specific features of urban neighborhoods increase children's risk for psychotic symptoms, despite these early psychotic phenomena elevating risk for schizophrenia and other psychiatric disorders in adulthood.MethodsAnalyses were conducted on over 2000 children from the Environmental Risk (E-Risk) Longitudinal Twin Study, a nationally-representative cohort of UK-born twins. Neighborhood-level characteristics were assessed for each family via: a geodemographic discriminator indexing neighborhood-level deprivation, postal surveys of over 5000 residents living alongside the children, and in-home interviews with the children's mothers. Children were interviewed about psychotic symptoms at age 12. Analyses were adjusted for important family-level confounders including socioeconomic status (SES), psychiatric history, and maternal psychosis.ResultsUrban residency at age-5 (OR = 1.80, 95% CI = 1.16-2.77) and age-12 (OR = 1.76, 95% CI = 1.15-2.69) were both significantly associated with childhood psychotic symptoms, but not with age-12 anxiety, depression, or antisocial behavior. The association was not attributable to family SES, family psychiatric history, or maternal psychosis, each implicated in childhood mental health. Low social cohesion, together with crime victimization in the neighborhood explained nearly a quarter of the association between urbanicity and childhood psychotic symptoms after considering family-level confounders.ConclusionsLow social cohesion and crime victimization in the neighborhood partly explain why children in cities have an elevated risk of developing psychotic symptoms. Greater understanding of the mechanisms leading from neighborhood-level exposures to psychotic symptoms could help target interventions for emerging childhood psychotic symptoms.

PurposeTo investigate the association between social isolation and loneliness, how they relate to depression, and whether these associations are explained by genetic influences.MethodsWe used data from the age-18 wave of the Environmental Risk Longitudinal Twin Study, a birth cohort of 1116 same-sex twin pairs born in England and Wales in 1994 and 1995. Participants reported on their levels of social isolation, loneliness and depressive symptoms. We conducted regression analyses to test the differential associations of isolation and loneliness with depression. Using the twin study design, we estimated the proportion of variance in each construct and their covariance that was accounted for by genetic and environmental factors.ResultsSocial isolation and loneliness were moderately correlated (r = 0.39), reflecting the separateness of these constructs, and both were associated with depression. When entered simultaneously in a regression analysis, loneliness was more robustly associated with depression. We observed similar degrees of genetic influence on social isolation (40 %) and loneliness (38 %), and a smaller genetic influence on depressive symptoms (29 %), with the remaining variance accounted for by the non-shared environment. Genetic correlations of 0.65 between isolation and loneliness and 0.63 between loneliness and depression indicated a strong role of genetic influences in the co-occurrence of these phenotypes.ConclusionsSocially isolated young adults do not necessarily experience loneliness. However, those who are lonely are often depressed, partly because the same genes influence loneliness and depression. Interventions should not only aim at increasing social connections but also focus on subjective feelings of loneliness.

This paper presents multilevel findings on adolescents' victimization exposure from a large longitudinal cohort of twins. Data were obtained from the Environmental Risk (E-Risk) Longitudinal Twin Study, an epidemiological study of 2,232 children (1,116 twin pairs) followed to 18 years of age (with 93% retention). To assess adolescent victimization, we combined best practices in survey research on victimization with optimal approaches to measuring life stress and traumatic experiences, and introduce a reliable system for coding severity of victimization. One in three children experienced at least one type of severe victimization during adolescence (crime victimization, peer/sibling victimization, Internet/mobile phone victimization, sexual victimization, family violence, maltreatment, or neglect), and most types of victimization were more prevalent among children from low socioeconomic backgrounds. Exposure to multiple victimization types was common, as was revictimization; over half of those physically maltreated in childhood were also exposed to severe physical violence in adolescence. Biometric twin analyses revealed that environmental factors had the greatest influence on most types of victimization, while severe physical maltreatment from caregivers during adolescence was predominantly influenced by heritable factors. The findings from this study showcase how distinct levels of victimization measurement can be harmonized in large-scale studies of health and development.

Close to 90% of U.S. adolescents now own or have access to a mobile phone, and they are using them frequently. Adolescents send and receive an average of over 60 text messages per day from their devices, and over 90% of adolescents now access the Internet from a mobile device at least occasionally. Many adults are asking how this constant connectivity is influencing adolescents' development. In this article, we examine seven commonly voiced fears about the influence of mobile technologies on adolescents' safety (e.g., cyberbullying and online solicitation), social development (e.g., peer relationships, parent-child relationships, and identity development), cognitive performance, and sleep. Three sets of findings emerge. First, with some notable exceptions (e.g., sleep disruption and new tools for bullying), most online behaviors and threats to well-being are mirrored in the offline world, such that offline factors predict negative online experiences and effects. Second, the effects of mobile technologies are not uniform, in that benefits appear to be conferred for some adolescents (e.g., skill building among shy adolescents), whereas risk is exacerbated among others (e.g., worsening existing mental health problems). Third, experimental and quasi-experimental studies that go beyond a reliance on self-reported information are required to understand how, for whom, and under what conditions adolescents' interactions with mobile technologies influence their still developing social relationships, brains, and bodies.

The authors sought to determine whether the Fast Track mental health intervention delivered to individuals in childhood decreased mental health problems and the need for health services among the children of these individuals. The authors examined whether Fast Track assignment in one generation of children (generation 2; G2) from grades 1 through 10 reduced parent-reported mental health problems and health services use in these children's children (generation 3; G3) 18 years later relative to a control group. The Fast Track intervention blended parent behavior-management training, child social-cognitive skills tutoring, home visits, and classroom social-ecology changes across grades 1–10 to ameliorate emerging conduct problems among the G2 children. For this study, 1,057 G3 children of Fast Track participants (N=581 intervention group, N=476 control group) were evaluated. G3 children of G2 parents who were randomized to the Fast Track intervention group used fewer general inpatient services and fewer inpatient or outpatient mental health services compared with G3 children of G2 parents randomized to the control group. Some of these effects were mediated: randomization to Fast Track predicted fewer internalizing problems and less use of corporal punishment among G2 adults at age 25, which subsequently predicted less general inpatient service use and outpatient mental health service use among the G3 children by the time the G2 parents were 34 years old. There were no significant differences between G3 children from these two groups on the use of other health services or on mental health measures. Fast Track was associated with lower use of general inpatient services and inpatient and outpatient mental health services intergenerationally, but effects on parent-reported mental health of the children were not apparent across generations. Investing in interventions for the mental health of children could reduce service use burdens across generations. [ABSTRACT FROM AUTHOR]

The present study examined patterns of stability and change in loneliness across adolescence. Data were drawn from the Environmental Risk (E-Risk) Longitudinal Twin Study, a UK population-representative cohort of 2,232 individuals born in 1994 and 1995. Loneliness was assessed when participants were aged 12 and 18. Loneliness showed modest stability across these ages (r =.25). Behavioral genetic modeling indicated that stability in loneliness was explained largely by genetic influences (66%), while change was explained by nonshared environmental effects (58%). Individuals who reported loneliness at both ages were broadly similar to individuals who only reported it at age 18, with both groups at elevated risk of mental health problems, physical health risk behaviors, and education and employment difficulties. Individuals who were lonely only at age 12 generally fared better; however, they were still more likely to finish school with lower qualifications. Positive family influences in childhood predicted reduced risk of loneliness at age 12, while negative peer experiences increased the risk. Together, the findings show that while early adolescent loneliness does not appear to exert a cumulative burden when it persists, it is nonetheless a risk for a range of concomitant impairments, some of which can endure. [ABSTRACT FROM AUTHOR]

To develop efficient just-in-time personalised treatments, dynamical models are needed that provide a description of how an individual responds to treatment. However, available system identification approaches cannot effectively be applied to most behavioural datasets since, usually, the data collected is subjected to a large amount of noise and time sampling is not uniform. To be able to circumvent these issues, in this paper a new method is proposed for parsimonious system identification of continuous-time systems that does not require specially structured data. The developed algorithm provides an effective way to leverage these 'non-standard' datasets to identify continuous time dynamical models that are compatible with a-priori information available on the process. The algorithm developed is tested on data obtained from a behavioural study on adolescents and violence. The objective is to model the temporal dynamics of the association between violence exposure and mental health symptoms (depression and anxiety) in day-to-day life among a sample of adolescents at heightened risk for both substance use exposure and problem behaviour. The information extracted from individual models of behaviour such as the maximum burden and the time of fading away of depression/anxiety does differ substantially from person to person. This information has the potential to be useful to design personalised interventions that would have a better chance of succeeding. [ABSTRACT FROM AUTHOR]

Adolescents' subjective social status (SSS) is associated with mental and behavioral health outcomes, independent of socioeconomic status (SES). Many previous findings, however, come from cross‐sectional studies. We report results from a longitudinal study with 151 adolescents identified as at risk for early substance use and behavioral problems sampled from low‐SES neighborhoods. We examined whether adolescent's SSS predicted mental health (depression, anxiety, and inattention/impulsivity) measured over 30 days via ecological momentary assessment and risk for substance use at an 18‐month follow‐up. Results showed that with each perceived step "up" the SSS ladder, adolescents experienced fewer mental health symptoms in daily life and lower future substance use risk after adjusting for objective SES and previous psychopathology. Implications of these findings are discussed. [ABSTRACT FROM AUTHOR]

Exposure to toxic stress accelerates the wear and tear on children's developing bodies and leaves a lasting mark on adult health. Prior research has focused mainly on children exposed to extreme forms of adversity, such as maltreatment and extreme neglect. However, repeated exposure to less severe, but often chronic stressors is likely to play as large, if not larger, of a role in forecasting children's future mental and physical health. New tools from neuroscience, biology, epigenetics, and the social sciences are helping to isolate when and how the foundations for adult health are shaped by childhood experiences. We are now in the position to understand how adversity, in both extreme and more mundane forms, contributes to the adult health burden and to identify features in children's families and environments that can be strengthened to buffer the effects of toxic stressors. We are also positioned to develop and implement innovative approaches to child policy and practice that are rooted in an understanding of how exposure to toxic stressors can become biologically embedded. The stage is set for the creation of new interventions--on both grand and micro scales--to reduce previously intractable health disparities. [ABSTRACT FROM AUTHOR]

Objective: Psychiatric symptoms play a crucial role in psychology and psychiatry. However, little is known about how dimensions of symptoms—other than symptom level—relate to psychiatric outcomes. Until recently, methods for measuring dynamic aspects of symptoms have not been available to clinicians or researchers. The authors sought to test whether systematic patterns of change in psychiatric symptoms can be recovered across weekly assessments of individuals at high risk for violence. A secondary objective was to explore whether dynamic features of symptoms (specifically, oscillation speed and dysregulation) are concurrently associated with violence, an important indicator of functional impairment for these individuals. Method: Participants (N=132) were drawn from a sample of patients evaluated at the emergency room of an urban psychiatric hospital, Patients actuarially classified as being at high risk for violence were eligible for participation in the study. Participants and collateral informants were interviewed weekly for 26 weeks following an acute psychiatric evaluation. Psychiatric symptoms were assessed using the Brief Symptom Inventory. Measures of symptom fluctuation and regulation were derived using dynamical systems models. Involvement in violence was assessed using self, informant, and official reports. Results: Individuals' symptom dynamics were recovered by a linear oscillator model that described how quickly symptoms oscillated and whether symptoms were amplifying or moving back toward equilibrium across time. Patterns of rapid symptom fluctuation and symptom amplification were concurrently associated with violence. Conclusions: Psychiatric researchers and clinicians have long been interested in adopting more dynamic approaches to understanding symptom change. This study is the first to demonstrate that systematic fluctuations in symptom patterns may be captured by dynamic models. Moreover, the concurrent association between symptom dynamics and violence suggests avenues for future research to test how features of symptom fluctuation could affect behavior. [ABSTRACT FROM AUTHOR]

This article reports on the childhood origins and adult outcomes of female versus male antisocial behavior trajectories in the Dunedin longitudinal study. Four antisocial behavior trajectory groups were identified among females and males using general growth mixture modeling and included life-course persistent (LCP), adolescent-onset, childhood-limited, and low trajectory groups. During childhood, both LCP females and males were characterized by social, familial and neurodevelopmental risk factors, whereas those on the adolescent-onset pathway were not. At age 32, women and men on the LCP pathway were engaging in serious violence and experiencing significant mental health, physical health, and economic problems. Females and males on the adolescent-onset pathway were also experiencing difficulties at age 32, although to a lesser extent. Although more males than females followed the LCP trajectory, findings support similarities across gender with respect to developmental trajectories of antisocial behavior and their associated childhood origins and adult consequences. Implications for theory, research, and practice are discussed. [ABSTRACT FROM PUBLISHER]

Objective: Many children with conduct disorder develop life-course persistent antisocial behavior; however, other children exhibit childhood-limited or adolescence-limited conduct disorder symptoms and escape poor adult outcomes. Prospective prediction of long-term prognosis in pediatric and adolescent clinical settings is difficult. Improved prognosis prediction would support wise allocation of limited treatment resources. The purpose of this article is to evaluate whether family history of psychiatric disorder can statically predict long-term prognosis among conduct-problem children.Method: Participants were male members of the Dunedin Study, a birth cohort of 1,037 children (52% male). Conduct-problem subtypes were defined using prospective assessments between ages 7 and 26 years. Family history interviews assessed mental disorders for three generations: the participants' grandparents, parents, and siblings.Results: Family history of externalizing disorders distinguished life-course persistent antisocial males from other conduct-problem children and added significant incremental validity beyond family and child risk factors. A simple three-item family history screen of maternal-reported alcohol abuse was associated with life-course persistent prognosis in our research setting and should be evaluated in clinical practice.Conclusions: : Family history of externalizing disorders distinguished between life-course persistent versus childhood-limited and adolescent-onset conduct problems. Brief family history questions may assist clinicians in pediatric settings to refine the diagnosis of conduct disorder and identify children who most need treatment. [ABSTRACT FROM AUTHOR]

While the field of violence risk assessment among adult males has progressed rapidly, several questions remain with respect to the application of forensic risk assessment tools within other populations. In this article, we consider the empirical evidence for the assessment, prediction, and management of violence in adolescent girls. We discuss limitations of generalizing violence risk assessment findings from other populations to adolescent girls and point out areas where there is little or no empirical foundation. Critical issues that must be addressed in research prior to the adoption or rejection of such instruments are delineated. Finally, we provide practice guidelines for clinicians currently involved with adolescent females within risk assessment contexts. [ABSTRACT FROM AUTHOR]