Recommendations for Identifying Valid Wear for Consumer-Level Wrist-Worn Activity Trackers and Acceptability of Extended Device Deployment in Children.

BACKGROUND: Self-reported physical activity is often inaccurate. Wearable devices utilizing multiple sensors are now widespread. The aim of this study was to determine acceptability of Fitbit Charge HR for children and their families, and to determine best practices for processing its objective data. METHODS: Data were collected via Fitbit Charge HR continuously over the course of 3 weeks. Questionnaires were given to each child and their parent/guardian to determine the perceived usability of the device. Patterns of data were evaluated and best practice inclusion criteria recommended. RESULTS: Best practices were established to extract, filter, and process data to evaluate device wear, r and establish minimum wear time to evaluate behavioral patterns. This resulted in usable data available from 137 (89%) of the sample. CONCLUSIONS: Activity trackers are highly acceptable in the target population and can provide objective data over longer periods of wear. Best practice inclusion protocols that reflect physical activity in youth are provided.

Screen media activity and brain structure in youth: Evidence for diverse structural correlation networks from the ABCD study.

The adolescent brain undergoes profound structural changes which is influenced by many factors. Screen media activity (SMA; e.g., watching television or videos, playing video games, or using social media) is a common recreational activity in children and adolescents; however, its effect on brain structure is not well understood. A multivariate approach with the first cross-sectional data release from the Adolescent Brain Cognitive Development (ABCD) study was used to test the maturational coupling hypothesis, i.e. the notion that coordinated patterns of structural change related to specific behaviors. Moreover, the utility of this approach was tested by determining the association between these structural correlation networks and psychopathology or cognition. ABCD participants with usable structural imaging and SMA data (N = 4277 of 4524) were subjected to a Group Factor Analysis (GFA) to identify latent variables that relate SMA to cortical thickness, sulcal depth, and gray matter volume. Subject scores from these latent variables were used in generalized linear mixed-effect models to investigate associations between SMA and internalizing and externalizing psychopathology, as well as fluid and crystalized intelligence. Four SMA-related GFAs explained 37% of the variance between SMA and structural brain indices. SMA-related GFAs correlated with brain areas that support homologous functions. Some but not all SMA-related factors corresponded with higher externalizing (Cohen's d effect size (ES) 0.06-0.1) but not internalizing psychopathology and lower crystalized (ES: 0.08-0.1) and fluid intelligence (ES: 0.04-0.09). Taken together, these findings support the notion of SMA related maturational coupling or structural correlation networks in the brain and provides evidence that individual differences of these networks have mixed consequences for psychopathology and cognitive performance.

Ionic Liquid-Modified Disposable Electrochemical Sensor Strip for Analysis of Fentanyl.

The increasing prevalence of fentanyl and its analogues as contaminating materials in illicit drug products presents a major hazard to first responder and law enforcement communities. Electrochemical techniques have the potential to provide critical information to these personnel via rapid, facile field detection of these materials. Here we demonstrate the use of cyclic square wave voltammetry (CSWV) with screen-printed carbon electrodes (SPCE), modified with the room temperature ionic liquid (RTIL) 1-butyl-1-methylpyrrolidinium bis(trifluoromethylsulfonyl)imide [C4C1pyrr][NTf2], toward such rapid "on-the-spot" fentanyl detection. This CSWV-based disposable sensor strip system provides an information-rich electrochemical fingerprint of fentanyl, composed of an initial oxidation event at +0.556 V (vs Ag/AgCl) and a reversible reduction and oxidation reaction at -0.235 and -0.227 V, respectively. The combined current and potential characteristics of these anodic and cathodic fentanyl peaks, generated using two CSWV cycles, thus lead to a distinct electrochemical signature. This CSWV profile facilitates rapid (1 min) identification of the target opioid at micromolar concentrations in the presence of other cutting agents commonly found in illicit drug formulations. The new protocol thus holds considerable promise for rapid decentralized fentanyl detection at the "point of need".

The Association Between Marijuana Use and HIV Continuum of Care Outcomes: a Systematic Review.

PURPOSE OF REVIEW: Approximately 77% of HIV-infected adults report lifetime marijuana use. Given the high rates and social acceptability of marijuana use among HIV-infected individuals, it is important to gain a stronger understanding of if, and how, marijuana impacts HIV care cascade outcomes. The purpose of this study is to systematically review recent articles that assess the relationship between marijuana use and HIV continuum of care outcomes. RECENT FINDINGS: One hundred and ninety articles from PubMed were considered for inclusion, and 15 were included in the review. The studies focus on marijuana use among HIV-infected individuals aware of their serostatus (k = 4), individuals engaged in treatment (k = 1), marijuana use in association with adherence to antiretroviral medications (k = 6), and marijuana use in relation to multiple stages of the HIV care cascade (k = 4). Preliminary findings from the small number of studies revealed an association between marijuana use, especially current heavy use, and HIV seropositivity. However, results from studies assessing marijuana use and treatment engagement and adherence to antiretroviral medications were inconsistent and inconclusive. Additional research is needed to assess the nuanced relationship between marijuana use and HIV continuum of care outcomes, especially among subgroups of HIV-infected individuals, such as men who have sex with men and young adults.

Adolescent Initiation of Cannabis Use and Early-Onset Psychosis.

BACKGROUND: It is important to evaluate the impact of cannabis use on onset and course of psychotic illness, as the increasing number of novice cannabis users may translate into a greater public health burden. This study aims to examine the relationship between adolescent onset of regular marijuana use and age of onset of prodromal symptoms, or first episode psychosis, and the manifestation of psychotic symptoms in those adolescents who use cannabis regularly. METHODS: A review was conducted of the current literature for youth who initiated cannabis use prior to the age of 18 and experienced psychotic symptoms at, or prior to, the age of 25. Seventeen studies met eligibility criteria and were included in this review. RESULTS: The current weight of evidence supports the hypothesis that early initiation of cannabis use increases the risk of early onset psychotic disorder, especially for those with a preexisting vulnerability and who have greater severity of use. There is also a dose-response association between cannabis use and symptoms, such that those who use more tend to experience greater number and severity of prodromal and diagnostic psychotic symptoms. Those with early-onset psychotic disorder and comorbid cannabis use show a poorer course of illness in regards to psychotic symptoms, treatment, and functional outcomes. However, those with early initiation of cannabis use appear to show a higher level of social functioning than non-cannabis users. CONCLUSIONS: Adolescent initiation of cannabis use is associated, in a dose-dependent fashion, with emergence and severity of psychotic symptoms and functional impairment such that those who initiate use earlier and use at higher frequencies demonstrate poorer illness and treatment outcomes. These associations appear more robust for adolescents at high risk for developing a psychotic disorder.

Marijuana and alcohol use and attempted smoking cessation in adolescent boys and girls.

BACKGROUND: This study sought to determine the relationship between the frequency of current marijuana and alcohol use and cigarette quit attempts in male and female adolescent smokers. METHODS: Data from a cross-sectional survey of health behaviors in high-school-aged adolescents were analyzed. Current cigarette smokers (n = 804) who reported use of at least 1 cigarette in the past month were divided into those with and without a history of at least 1 quit attempt (a self-reported episode of trying to "stop smoking"). Logistic regression models were fit to describe the association between the frequency of marijuana/alcohol use and a history of cigarette quit attempts. RESULTS: Among the total sample, higher-frequency marijuana use (more than 6 times in the past 30 days) and frequent binge drinking (more than 5 days of binge drinking in the past 30 days) decreased the odds of having a past cigarette quit attempt (higher-frequency marijuana: adjusted odds ratio [AOR] = 0.56, 95% confidence interval [CI] = 0.36-0.86; frequent binge drinking: AOR = 0.49, 95% CI = 0.29-0.83). A significant gender interaction was observed for the relationship between higher-frequency marijuana use and a history of cigarette quit attempts (P = .03), with decreased odds in boys (AOR = 0.41, 95% CI = 0.22-0.77) but not in girls (AOR = 0.71, 95% CI = 0.37-1.33). CONCLUSIONS: Adolescent smokers who report higher-frequency marijuana use or frequent binge drinking have a decreased likelihood of a history of a cigarette quit attempt. The gender-related association between higher-frequency marijuana use and a history of quit attempts suggests that boys with greater substance use may need particularly intensive support to initiate quit attempts.

Screen time, sleep, brain structural neurobiology, and sequential associations with child and adolescent psychopathology: Insights from the ABCD study.

Background and Aims: The precise roles of screen media activity (SMA) and sleep problems in relation to child/adolescent psychopathology remain ambiguous. We investigated temporal relationships among sleep problems, SMA, and psychopathology and potential involvement of thalamus-prefrontal-cortex (PFC)-brainstem structural covariation. Methods: This study utilized data from the Adolescent Brain Cognitive Development study (n = 4,641 ages 9-12) at baseline, Year1, and Year2 follow-up. Cross-Lagged Panel Models (CLPMs) investigated reciprocal predictive relationships between sleep duration/problems, SMA, and psychopathology symptoms. A potential mediating role of baseline Thalamus-PFC-brainstem covariation on SMA-externalizing relationships was examined. Results: Participants were divided into discovery (n = 2,359, 1,054 girls) and replication (n = 2,282, 997 girls) sets. CLPMs showed 1) bidirectional associations between sleep duration and SMA in late childhood, with higher frequency SMA predicting shorter sleep duration (ß = -0.10 [95%CI: -0.16, -0.03], p = 0.004) and vice versa (ß = -0.11 [95%CI: -0.18, -0.05], p < 0.001); 2) externalizing symptoms at age 10-11 predicting sleep problems (ß = 0.11 [95%CI: 0.04, 0.19], p = 0.002), SMA (ß = 0.07 [95%CI: 0.01, 0.13], p = 0.014), and internalizing symptoms (ß = 0.09 [95%CI: 0.05, 0.13], p < 0.001) at age 11-12; and 3) externalizing behavior at age 10-11 partially mediating the relationship between baseline thalamus-PFC-brainstem covariation and SMA at age 11-12 (indirect effect = 0.032 [95%CI: 0.003, 0.067], p-value = 0.030). Findings were replicable. Conclusion: We found bi-directional SMA-sleep-duration associations in late childhood. Externalizing symptoms preceded future SMA and sleep disturbances and partially mediated relationships between structural brain covariation and SMA. The findings emphasize the need for understanding individual differences and developing and implementing integrated strategies addressing both sleep concerns and screen time to mitigate potential impacts on psychopathology.

Passively sensing smartphone use in teens with rates of use by sex and across operating systems.

Youth screen media activity is a growing concern, though few studies include objective usage data. Through the longitudinal, U.S.-based Adolescent Brain Cognitive Development (ABCD) Study, youth (mage = 14; n = 1415) self-reported their typical smartphone use and passively recorded three weeks of smartphone use via the ABCD-specific Effortless Assessment Research System (EARS) application. Here we describe and validate passively-sensed smartphone keyboard and app use measures, provide code to harmonize measures across operating systems, and describe trends in adolescent smartphone use. Keyboard and app-use measures were reliable and positively correlated with one another (r = 0.33) and with self-reported use (rs = 0.21-0.35). Participants recorded a mean of 5 h of daily smartphone use, which is two more hours than they self-reported. Further, females logged more smartphone use than males. Smartphone use was recorded at all hours, peaking on average from 8 to 10 PM and lowest from 3 to 5 AM. Social media and texting apps comprised nearly half of all use. Data are openly available to approved investigators ( https://nda.nih.gov/abcd/ ). Information herein can inform use of the ABCD dataset to longitudinally study health and neurodevelopmental correlates of adolescent smartphone use.

Digital Media and Developing Brains: Concerns and Opportunities.

Purpose of Review: The incorporation of digital technologies and their use in youth's everyday lives has been increasing rapidly over the past several decades with possible impacts on youth development and mental health. This narrative review aimed to consider how the use of digital technologies may be influencing brain development underlying adaptive and maladaptive screen-related behaviors. Recent Findings: To explore and provide direction for further scientific inquiry, an international group of experts considered what is known, important gaps in knowledge, and how a research agenda might be pursued regarding relationships between screen media activity and neurodevelopment from infancy through childhood and adolescence. While an understanding of brain-behavior relationships involving screen media activity has been emerging, significant gaps exist that have important implications for the health of developing youth. Summary: Specific considerations regarding brain-behavior relationships involving screen media activity exist for infancy, toddlerhood, and early childhood; middle childhood; and adolescence. Transdiagnostic frameworks may provide a foundation for guiding future research efforts. Translating knowledge gained into better interventions and policy to promote healthy development is important in a rapidly changing digital technology environment.

Editorial: Inconclusive (or "Elusive"): Concordance Between Substance Use Self-report and Toxicology for Diverse Youth Populations.

Adolescent substance use is an important public health issue, with 15% of eighth graders (ages 13-14) reporting past-year cannabis use, 26% reporting alcohol use, and 23% reporting vaping nicotine in recent national surveys.1 Among youth and young adults in need of mental health services, co-occurring substance misuse is a topic of particular importance. This is particularly evident in special populations, such as youth in juvenile detention, youth living in rural communities, and youth in residential or foster care. Accurate drug use identification is necessary to determine substance use needs and sequelae in youth. Ideally, this is accomplished through a combination of self-report and toxicological biospecimen analysis, such as the use of hair toxicology. Yet, the consistency between self-reported substance use and robust toxicological analysis is understudied and has not been researched in large, diverse samples of youth. This has implications for both public health research and clinical practice. Of particular importance for research on health disparities in substance abuse problems and treatment is the likely possibility that reporting validity often varies by race/ethnicity and by other important subgroupings.

Screen media activity in youth: A critical review of mental health and neuroscience findings.

This review has two primary objectives: (1) to offer a balanced examination of recent findings on the relationship between screen media activity (SMA) in young individuals and outcomes such as sleep patterns, mood disturbances, anxiety-related concerns, and cognitive processes; and (2) to introduce a novel multi-level system model that integrates these findings, resolves contradictions in the literature, and guides future studies in examining key covariates affecting the SMA-mental health relationship. Key findings include: (1) Several meta-analyses reveal a significant association between SMA and mental health issues, particularly anxiety and depression, including specific negative effects linked to prolonged screen time; (2) substantial evidence indicates that SMA has both immediate and long-term impacts on sleep duration and quality; (3) the relationship between SMA and cognitive functioning is complex, with mixed findings showing both positive and negative associations; and (4) the multifaceted relationship between SMA and various aspects of adolescent life is influenced by a wide range of environmental and contextual factors. SMA in youth is best understood within a complex system encompassing individual, caregiver, school, peer, and environmental factors, as framed by Bronfenbrenner's ecological systems theory, which identifies five interrelated systems (microsystem, mesosystem, exosystem, macrosystem, and chronosystem) that influence development across both proximal and distal levels of the environment. This model provides a framework for future research to examine these interactions, considering moderating factors, and to develop targeted interventions that can mitigate potential adverse effects of SMA on mental well-being.

Association of Demographic and Socioeconomic Indicators With the Use of Wearable Devices Among Children.

Importance: The use of consumer-grade wearable devices for collecting data for biomedical research may be associated with social determinants of health (SDoHs) linked to people's understanding of and willingness to join and remain engaged in remote health studies. Objective: To examine whether demographic and socioeconomic indicators are associated with willingness to join a wearable device study and adherence to wearable data collection in children. Design, Setting, and Participants: This cohort study used wearable device usage data collected from 10 414 participants (aged 11-13 years) at the year-2 follow-up (2018-2020) of the ongoing Adolescent Brain and Cognitive Development (ABCD) Study, performed at 21 sites across the United States. Data were analyzed from November 2021 to July 2022. Main Outcomes and Measures: The 2 primary outcomes were (1) participant retention in the wearable device substudy and (2) total device wear time during the 21-day observation period. Associations between the primary end points and sociodemographic and economic indicators were examined. Results: The mean (SD) age of the 10 414 participants was 12.00 (0.72) years, with 5444 (52.3%) male participants. Overall, 1424 participants (13.7%) were Black; 2048 (19.7%), Hispanic; and 5615 (53.9%) White. Substantial differences were observed between the cohort that participated and shared wearable device data (wearable device cohort [WDC]; 7424 participants [71.3%]) compared with those who did not participate or share data (no wearable device cohort [NWDC]; 2900 participants [28.7%]). Black children were significantly underrepresented (-59%) in the WDC (847 [11.4%]) compared with the NWDC (577 [19.3%]; P < .001). In contrast, White children were overrepresented (+132%) in the WDC (4301 [57.9%]) vs the NWDC (1314 [43.9%]; P < .001). Children from low-income households (<$24 999) were significantly underrepresented in WDC (638 [8.6%]) compared with NWDC (492 [16.5%]; P < .001). Overall, Black children were retained for a substantially shorter duration (16 days; 95% CI, 14-17 days) compared with White children (21 days; 95% CI, 21-21 days; P < .001) in the wearable device substudy. In addition, total device wear time during the observation was notably different between Black vs White children (ß = -43.00 hours; 95% CI, -55.11 to -30.88 hours; P < .001). Conclusions and Relevance: In this cohort study, large-scale wearable device data collected from children showed considerable differences between White and Black children in terms of enrollment and daily wear time. While wearable devices provide an opportunity for real-time, high-frequency contextual monitoring of individuals' health, future studies should account for and address considerable representational bias in wearable data collection associated with demographic and SDoH factors.

Review of Major Social Determinants of Health in Schizophrenia-Spectrum Psychotic Disorders: III. Biology.

BACKGROUND: Social determinants of health (SDoHs) are nonmedical factors that significantly impact health and longevity. We found no published reviews on the biology of SDoHs in schizophrenia-spectrum psychotic disorders (SSPD). STUDY DESIGN: We present an overview of pathophysiological mechanisms and neurobiological processes plausibly involved in the effects of major SDoHs on clinical outcomes in SSPD. STUDY RESULTS: This review of the biology of SDoHs focuses on early-life adversities, poverty, social disconnection, discrimination including racism, migration, disadvantaged neighborhoods, and food insecurity. These factors interact with psychological and biological factors to increase the risk and worsen the course and prognosis of schizophrenia. Published studies on the topic are limited by cross-sectional design, variable clinical and biomarker assessments, heterogeneous methods, and a lack of control for confounding variables. Drawing on preclinical and clinical studies, we propose a biological framework to consider the likely pathogenesis. Putative systemic pathophysiological processes include epigenetics, allostatic load, accelerated aging with inflammation (inflammaging), and the microbiome. These processes affect neural structures, brain function, neurochemistry, and neuroplasticity, impacting the development of psychosis, quality of life, cognitive impairment, physical comorbidities, and premature mortality. Our model provides a framework for research that could lead to developing specific strategies for prevention and treatment of the risk factors and biological processes, thereby improving the quality of life and increasing the longevity of people with SSPD. CONCLUSIONS: Biology of SDoHs in SSPD is an exciting area of research that points to innovative multidisciplinary team science for improving the course and prognosis of these serious psychiatric disorders.

Editors' Note: Third Annual Report Regarding JAACAP's Antiracist Journey.

In 2020, we wrote to you of our dedication and vision for JAACAP "to be antiracist at every level."1 Over the last 3 years, we have pursued initiatives "to reshape the Journal to pursue this vision."2,3 In this article, we provide an update on these goals and initiatives (Figure 1). With the launching of our new open access journal, JAACAP Open,4 in late 2022, we now extend these initiatives to both scientific journals in the JAACAP family and aspire to be a leader among mental health journals in our intentional pursuit of antiracist policies and practices.

Editorial: Durability of Alcohol Use Prevention Effects in Adolescents and Transitional Age Youth.

Nearly 30%, or close to 2 billion, of the world's population are youth 10 to 24 years of age. This number is projected to peak in the next decade.1 Greater focus on behaviors that are largely initiated and escalate during adolescence, and manifest ensuing morbidity and mortality in adulthood, can reduce long-term public health burden. This is especially true for alcohol use, which is the most commonly abused substance among adolescents,2 and 1 of the leading causes of morbidity globally,3 with more than 4,000 alcohol-attributable deaths per year in the United States specifically.4 Indeed, in the United States, alcohol use among adolescents is high, with over 60% of 12th graders reporting lifetime use, nearly 35% reporting use in the past month, and nearly 20% reporting binge drinking in the past 2 weeks.2 Furthermore, approximately 5% of 12- to 17-year-olds meet criteria for an alcohol use disorder.5 Despite high rates of alcohol use among adolescents and poor psychosocial, neurocognitive, and health outcomes related to use, 6 it is estimated that only about 10% of adolescents needing substance use treatment access treatment,5 with 75% of those accessing treatment experiencing a relapse.7 Although a number of prevention and treatment interventions have demonstrated efficacy in the short term, there are few data on programs and program characteristics that result in durable treatment effects.

Brain structural covariation linked to screen media activity and externalizing behaviors in children.

Background and Aims: Screen media activity (SMA) may impact neurodevelopment in youth. Cross-sectionally, SMA has been linked to brain structural patterns including cortical thinning in children. However, it remains unclear whether specific brain structural co-variation patterns are related to SMA and other clinically relevant measures such as psychopathology, cognition and sleep in children. Methods: Adolescent Brain Cognitive Development (ABCD) participants with useable baseline structural imaging (N = 10,691; 5,107 girls) were analyzed. We first used the Joint and Individual Variation Explained (JIVE) approach to identify cortical and subcortical covariation pattern(s) among a set of 221 brain features (i.e., surface area, thickness, or cortical and subcortical gray matter (GM) volumes). Then, the identified structural covariation pattern was used as a predictor in linear mixed-effect models to investigate its associations with SMA, psychopathology, and cognitive and sleep measures. Results: A thalamus-prefrontal cortex (PFC)-brainstem structural co-variation pattern (circuit) was identified. The pattern suggests brainstem and bilateral thalamus proper GM volumes covary more strongly with GM volume and/or surface area in bilateral superior frontal gyral, rostral middle frontal, inferior parietal, and inferior temporal regions. This covariation pattern highly resembled one previously linked to alcohol use initiation prior to adulthood and was consistent in girls and boys. Subsequent regression analyses showed that this co-variation pattern associated with SMA (ß = 0.107, P = 0.002) and externalizing psychopathology (ß = 0.117, P = 0.002), respectively. Discussion and Conclusions: Findings linking SMA-related structural covariation to externalizing psychopathology in youth resonate with prior studies of alcohol-use initiation and suggest a potential neurodevelopmental mechanism underlying addiction vulnerability.

Perspectives of Girls and Young Women Affected by Commercial Sexual Exploitation: mHealth as a Tool to Increase Engagement in Care.

Objective: We gathered the perspectives of girls and young women affected by commercial sexual exploitation (CSE) to understand the acceptability and feasibility of mobile health (mHealth) for enhancing access and engagement in health and social services during judicial involvement. Methods: We conducted four focus groups with 14 girls and young women (ages 14 to 21) with self-identified CSE histories. Results: Participants perceived mHealth as viable for accessing and engaging providers, and health and social services, and navigating judicial systems. Participants expressed that mHealth tools increased self-efficacy and self-navigation of required services. Recommendations to improve mHealth functionality included push-notification appointment reminders, wellness and safety promotion, enhancement of provider communication, peer-to-peer support, and access to health education and community resources. Conclusions: Findings provide insight for how mHealth may be leveraged to increase self-management skills, fulfill judicial obligations, and improve access and engagement in health and social services for CSE-affected girls and young women.

Risk factors associated with curiosity about alcohol use in the ABCD cohort.

Curiosity and intent to use alcohol in pre-adolescence is a risk factor for later experimentation and use, yet we know little of how curiosity about use develops. Here, we examine factors that may influence curiosity about alcohol use, as it may be an important predictor of later drinking behavior. Cross-sectional data on youth ages 10-11 from the ongoing Adolescent Brain Cognitive Development℠ (ABCD) Study Year 1 follow-up were used (n = 2,334; NDA 2.0.1). All participants were substance-naïve at time of assessment. Group factor analysis identified latent factors across common indicators of risk for early substance use (i.e., psychopathology and trait characteristics; substance use attitudes/behaviors; neurocognition; family and environment). Logistic mixed-effect models tested associations between latent factors of risk for early substance use and curiosity about alcohol use, controlling for demographics and study site. Two multidimensional factors were significantly inversely and positively associated with greater curiosity about alcohol use, respectively: 1) low internalizing and externalizing symptomatology coupled with low impulsivity, perceived neighborhood safety, negative parental history of alcohol use problems, and fewer adverse life experiences and family conflict; and 2) low perceived risk of alcohol use coupled with lack of peer disapproval of use. When assessing all risk factors in an overall regression, lack of perceived harm from trying alcohol once or twice was associated with greater likelihood of alcohol curiosity. Taken together, perceptions that alcohol use causes little harm and having peers with similar beliefs is related to curiosity about alcohol use among substance-naïve 10-11-year-olds. General mental health and environmental risk factors similarly increase the odds of curiosity for alcohol. Identification of multidimensional risk factors for early alcohol use may point to novel prevention and early intervention targets. Future longitudinal investigations in the ABCD cohort will determine the extent to which these factors and curiosity predict alcohol use among youth.

Passive Sensing of Preteens' Smartphone Use: An Adolescent Brain Cognitive Development (ABCD) Cohort Substudy.

BACKGROUND: Concerns abound regarding childhood smartphone use, but studies to date have largely relied on self-reported screen use. Self-reporting of screen use is known to be misreported by pediatric samples and their parents, limiting the accurate determination of the impact of screen use on social, emotional, and cognitive development. Thus, a more passive, objective measurement of smartphone screen use among children is needed. OBJECTIVE: This study aims to passively sense smartphone screen use by time and types of apps used in a pilot sample of children and to assess the feasibility of passive sensing in a larger longitudinal sample. METHODS: The Adolescent Brain Cognitive Development (ABCD) study used passive, objective phone app methods for assessing smartphone screen use over 4 weeks in 2019-2020 in a subsample of 67 participants (aged 11-12 years; 31/67, 46% female; 23/67, 34% White). Children and their parents both reported average smartphone screen use before and after the study period, and they completed a questionnaire regarding the acceptability of the study protocol. Descriptive statistics for smartphone screen use, app use, and protocol feasibility and acceptability were reviewed. Analyses of variance were run to assess differences in categorical app use by demographics. Self-report and parent report were correlated with passive sensing data. RESULTS: Self-report of smartphone screen use was partly consistent with objective measurement (r=0.49), although objective data indicated that children used their phones more than they reported. Passive sensing revealed the most common types of apps used were for streaming (mean 1 hour 57 minutes per day, SD 1 hour 32 minutes), communication (mean 48 minutes per day, SD 1 hour 17 minutes), gaming (mean 41 minutes per day, SD 41 minutes), and social media (mean 36 minutes per day, SD 1 hour 7 minutes). Passive sensing of smartphone screen use was generally acceptable to children (43/62, 69%) and parents (53/62, 85%). CONCLUSIONS: The results of passive, objective sensing suggest that children use their phones more than they self-report. Therefore, use of more robust methods for objective data collection is necessary and feasible in pediatric samples. These data may then more accurately reflect the impact of smartphone screen use on behavioral and emotional functioning. Accordingly, the ABCD study is implementing a passive sensing protocol in the full ABCD cohort. Taken together, passive assessment with a phone app provided objective, low-burden, novel, informative data about preteen smartphone screen use.