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Tobacco and alcohol use continues to be associated with negative health outcomes among adolescents and young adults. New technologies such as text messaging can increase access to substance use interventions and have now been established as an evidence-based, recommended approach towards substance use prevention. This review presents results from a meta-analysis examining the effectiveness of text message interventions for tobacco and alcohol cessation within adolescent and young adult populations. Results from 14 studies with effect sizes are ranging from -0.25 to 0.54. Combining the effect sizes across studies yielded a summary effect size of 0.25, indicating that in general, text interventions have a positive effect on reducing substance use behaviors. Results are discussed in the context of prevention opportunities and recommendations for future text messaging intervention research.

We tested the feasibility and effectiveness of an alcohol counseling intervention delivered via personalized text messages for college students with problem alcohol use. College students aged 18-23 completed online substance use and mental health questionnaires that served as a screening tool for problem alcohol use. We invited students who screened positive to be randomized to intervention (n = 8) or control groups (n = 10) and assessed them at 1 month after they received their last text message. The intervention group received between four and six text messages daily for 4 days that required brief participant responses during the week following the web-based baseline assessment. Participants in the intervention group could also request booster texts for additional support. We personalized all texts, using data collected at baseline. Using a repeated measures ANOVA, we found that compared to the control group, the intervention group increased in readiness to change from baseline to follow-up (p < .01). Other promising trends were an increase in the intervention relative to the control group's confidence in their ability to change drinking behavior, and an increase in intentions to reduce alcohol use. These exploratory results indicate that the automated texting program we developed works well with college students and that text messaging as a means to deliver preventive interventions is a promising delivery platform.

AimTo examine individual variability between perceived physical features and hormones of pubertal maturation in 9–10-year-old children as a function of sociodemographic characteristics.MethodsCross-sectional metrics of puberty were utilized from the baseline assessment of the Adolescent Brain Cognitive Development (ABCD) Study—a multi-site sample of 9–10 year-olds (n = 11,875)—and included perceived physical features via the pubertal development scale (PDS) and child salivary hormone levels (dehydroepiandrosterone and testosterone in all, and estradiol in females). Multi-level models examined the relationships among sociodemographic measures, physical features, and hormone levels. A group factor analysis (GFA) was implemented to extract latent variables of pubertal maturation that integrated both measures of perceived physical features and hormone levels.ResultsPDS summary scores indicated more males (70%) than females (31%) were prepubertal. Perceived physical features and hormone levels were significantly associated with child’s weight status and income, such that more mature scores were observed among children that were overweight/obese or from households with low-income. Results from the GFA identified two latent factors that described individual differences in pubertal maturation among both females and males, with factor 1 driven by higher hormone levels, and factor 2 driven by perceived physical maturation. The correspondence between latent factor 1 scores (hormones) and latent factor 2 scores (perceived physical maturation) revealed synchronous and asynchronous relationships between hormones and concomitant physical features in this large young adolescent sample.ConclusionsSociodemographic measures were associated with both objective hormone and self-report physical measures of pubertal maturation in a large, diverse sample of 9–10 year-olds. The latent variables of pubertal maturation described a complex interplay between perceived physical changes and hormone levels that hallmark sexual maturation, which future studies can examine in relation to trajectories of brain maturation, risk/resilience to substance use, and other mental health outcomes.

This article demonstrates a research strategy and prevention methodology for substance using urban youth that incorporates individual, social, and geographical parameters to systematically understand the ecology of risk and protection for urban youth. The primary goal of this study was to describe and analyze substance using and nonusing urban adolescents' social networks; risky and protective settings where they socialize; and the relationship to health outcomes such as substance use, depression, and stress. Geographic Information Systems (GIS) derived spatial relationships and analyses between the specific locations where the teens are active, their subjective ratings of these locations, and objective environmental risk data. These social network and GIS data were merged to form a detailed description and analysis of the social ecology of urban adolescent substance use. A case study was constructed to illustrate the methodology of creating a three-dimentional ecological profile that helps explain these relationships and provides preventive applications. Linear distances were computed between the homes of the users and the risky and safe places that they identified. On average, the distance between users' homes and their identified safe places was three times the distance between their homes and their identified risky places. This study provides support for understanding urban adolescent substance use through the detailed and multiple dimensional analysis of teens' social ecologies.

This study investigates the momentary association between urban greenspace, captured using Normalized Difference Vegetation Index (NDVI) derived from Landsat imagery, and psychological stress, captured using Geographic Ecological Momentary Assessment (GEMA), in the activity spaces of a sample of primarily African American adolescents residing in Richmond, Virginia. We employ generalized estimating equations (GEE) to estimate the effect of exposure to urban greenspace on stress and test for moderation by sex, emotional dysregulation, season, neighborhood disadvantage, and whether the observation occurs at home or elsewhere. Results indicate that urban greenspace is associated with lower stress when subjects are away from home, which we speculate is due to the properties of stress reduction and attention restoration associated with exposure to natural areas, and to the primacy of other family dynamics mechanisms of stress within the home. Subjects may also seek out urban greenspaces at times of lower stress or explicitly for purposes of stress reduction. The greenspace-stress association away from home did not differ by sex, emotional dysregulation, neighborhood disadvantage, or season, the latter of which suggests that the observed greenspace-stress relationship is associated with being in a natural environment rather than strictly exposure to abundant green vegetation. Given the association of urban greenspace with lower stress found here and in other studies, future research should address the mediated pathways between greenspace, stress, and stress-related negative health outcomes for different population subgroups as a means toward understanding and addressing health disparities.

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Mobile and wearable technologies and novel methods of data collection are innovating health-related research. These technologies and methods allow for multi-system level capture of data across environmental, physiological, behavioral, and psychological domains. In the Adolescent Brain Cognitive Development (ABCD) Study, there is great potential for harnessing the acceptability, accessibility, and functionality of mobile and social technologies for in-vivo data capture to precisely measure factors, and interactions between factors, that contribute to childhood and adolescent neurodevelopment and psychosocial and health outcomes. Here we discuss advances in mobile and wearable technologies and methods of analysis of geospatial, ecologic, social network and behavioral data. Incorporating these technologies into the ABCD study will allow for interdisciplinary research on the effects of place, social interactions, environment, and substance use on health and developmental outcomes in children and adolescents.