Lifetime use of alcohol and cannabis among U.S. adolescents across age: Exploring differential patterns by sex and race/ethnicity using the 2019 NSDUH data.

Background: Early use of alcohol and cannabis is associated with health and social problems. It is unclear how lifetime use changes for each additional year of age during adolescence, and whether this change varies by sex and race/ethnicity. This study characterized lifetime rates of alcohol and cannabis use by age among 12- to 17-year-old American youth and explored differential patterns by sex and race/ethnicity. Methods: Data were obtained from the 2019 National Survey on Drug Use and Health. Analyses were restricted to 12-17-year-olds who were non-Hispanic White, non-Hispanic Black, or Hispanic/Latino (n = 11,830). We estimated the increase in lifetime use of alcohol and cannabis by age for the full sample and stratified by sex and race/ethnicity. Slopes of the regression lines were compared to assess differential patterns across groups. Results: In these cross-sectional analyses, reported lifetime use increased substantially from age 12 to 17 for alcohol (6.4 % to 53.2 %) and cannabis (1.3 % to 35.9 %). The increase in lifetime alcohol use was slightly, but not significantly, steeper among girls than boys (F1,8 = 3.40, p = 0.09). White and Latino youth showed similar rates of increase in lifetime alcohol use, which was significantly flatter among Black youth (F2,12=21.26, p<0.0001). Latino youth had a slightly, but not significantly, steeper increase in lifetime cannabis use than White and Black youth (F2,12=3.17, p = 0.07). Conclusions: Reports of lifetime alcohol and cannabis use substantially increase from age 12 to 17 and the rates are different according to sex and race/ethnicity, highlighting the need for early and tailored substance use prevention in adolescents.

Differences in parent and youth perceived neighborhood threat on nucleus accumbens-frontoparietal network resting state connectivity and alcohol sipping in children enrolled in the ABCD study.

Purpose: Evidence has shown neighborhood threat (NT) as a social driver of emotional and brain development. Few studies have examined the relationship between NT and neural function. Altered functional connectivity in the nucleus accumbens (NAcc) with the frontoparietal network (FPN) has been implicated in the development of substance use, however, little is known about perceived NT-related brain function or downstream alcohol sipping during early adolescence. This study examined the longitudinal relationship between youth and combined youth/parent perceived NT, resting state functional connectivity (RSFC) of the NAcc-FPN, and alcohol sipping behavior during late childhood and preadolescence. Methods: This study used data (N = 7,744) from baseline to 2-year follow-up (FU) of the Adolescent Brain Cognitive Development Study (ABCD; Release 4.0). Relationships between youth and combined youth/parent perceive NT, alcohol sipping (baseline to two-year FU), and NAcc-FPN (left/right) connectivity, adjusting for demographics, family/peer history of alcohol use, parental monitoring and warmth, externalizing symptoms, and site, were examined in a mediation model via PROCESS in R. Results: Greater youth-reported NT at baseline was significantly associated with lower RSFC between the right (but not left) NAcc-FPN holding covariates constant (R2 = 0.01, B = -0.0019 (unstandardized), F (12, 7,731) = 8.649, p = 0.0087) and increased odds of alcohol sipping at baseline up to the two-year FU (direct effect = 0.0731, 95% CI = 0.0196, 0.1267). RSFC between the right NAcc-FPN did not significantly predict alcohol sipping at the two-year FU (b = -0.0213, SE = 0.42349, p = 0.9599; 95% CI = -0.8086, 0.8512). No significant relationships were observed for combined youth/parent report predicting alcohol sipping or NAcc-FPN connectivity. Conclusion: Findings suggest notable reporting differences in NT. Combined youth/parent report did not reveal significant findings; youth perceived NT was related to increased likelihood of alcohol sipping and lower neural connectivity between the right NAcc-FPN during late childhood and early adolescence. NT context - and source of reporting - may be crucial in examining links with downstream neuronal function and health behaviors. Future research should investigate reward processing and threat as the cohort ages into later adolescence.

Gray space and default mode network-amygdala connectivity.

Introduction: Aspects of the built environment relate to health factors and equity in living conditions, and may contribute to racial, ethnic, or economic health disparities. For example, urbanicity is linked with negative factors including exposure to gray space (e.g., impervious surfaces such as concrete, streets, or rooftops). While there is existing research on access to green space and urbanicity on some mental health and cognitive outcomes, there is limited research on the presence of gray space linked with cognitive functioning in youth. The goal of this study was to investigate the link between gray space and amygdala-default mode network (DMN) connectivity. Methods: This study used data from the ABCD Study. Participants (n = 10,144; age M = 119.11 months, female = 47.62%) underwent resting-state fMRI acquisition at baseline. Impervious surfaces (gray space) were measured via the Child Opportunity Index (COI). To examine the relationship between presence of gray space and -amygdala-DMN (left/right) connectivity, we employed linear mixed effects models. Correlations were run between amygdala-DMN connectivity and internalizing and externalizing symptoms. Finally, post hoc sensitivity analyses were run to assess the impact of race. Results: More gray space, adjusting for age, sex, and neighborhood-level variables, was significantly associated with increased left amygdala-DMN connectivity (p = 0.0001). This association remained significant after sensitivity analyses for race were completed (p = 0.01). No significant correlations were observed between amygdala-DMN and internalizing or externalizing symptoms. Discussion: Findings suggest gray space was linked with increased left amygdala-DMN connectivity, circuits that have been implicated in affective processing, emotion regulation, and psychopathology. Thus gray space may be related to alterations in connectivity that may enhance risk for emotion dysregulation. Future investigation of these relationships is needed, as neuroimaging findings may represent early dysregulation not yet observed in the behavioral analyses at this age (i.e., the present study did not find significant relationships with parent-reported behavioral outcomes). These findings can help to inform future public policy on improving lived and built environments.

Disrupted Resting State Attentional Network Connectivity in Adolescent and Young Adult Cannabis Users following Two-Weeks of Monitored Abstinence.

BACKGROUND: Numerous neuropsychological studies have shown that cannabis use during adolescence and young adulthood led to deficits in sustained and selective attention. However, few studies have examined functional connectivity in attentional networks among young cannabis users, nor have characterized relationships with cannabis use patterns following abstinence. METHODS: Differences in resting state functional connectivity (RSFC) within the dorsal (DAN) and ventral (VAN) attention networks were examined in 36 adolescent and young adult cannabis users and 39 non-substance using controls following two weeks of monitored abstinence. Observed connectivity differences were then correlated with past-year and lifetime cannabis use, length of abstinence, age of regular use onset, and Cannabis Use Disorder symptoms (CUD). RESULTS: After controlling for alcohol and nicotine use, cannabis users had lower RSFC within the DAN network, specifically between right inferior parietal sulcus and right anterior insula, as well as white matter, relative to controls. This region was associated with more severe cannabis use measures, including increased lifetime cannabis use, shorter length of abstinence, and more severe CUD symptoms. CONCLUSIONS: Findings demonstrate that regular cannabis use by adolescents and young adults is associated with subtle differences in resting state connectivity within the DAN, even after two weeks of monitored abstinence. Notably, more severe cannabis use markers (greater lifetime use, CUD symptoms, and shorter abstinence) were linked with this reduced connectivity. Thus, findings support public policy aimed at reducing and delaying cannabis use and treatments to assist with sustained abstinence. Future longitudinal studies are needed to investigate causation.

Racial Differences in the Association Between Alcohol Drinking and Cigarette Smoking: Preliminary Findings From an Alcohol Research Program.

AIMS: Important differences have been shown in alcohol drinking and cigarette smoking prevalence, patterns and consequences among individuals from different racial backgrounds. Alcohol and nicotine are often co-used, and the association between drinking and smoking may differ between racial groups-a question explored in the present study. METHODS: Data from the NIAAA natural history and screening protocols were utilized; non-Hispanic Black and non-Hispanic White individuals were included in the analyses [N = 1692; 65.2% male; 58.3% met criteria for current alcohol use disorder (AUD); 37.8% were current cigarette smokers]. Bivariate associations between assessments related to alcohol drinking and cigarette smoking were examined, and the strength and direction of these associations were compared between the two groups. RESULTS: The sample included 796 Black and 896 White individuals. Black participants had higher frequency (P < 0.0001) and severity (P = 0.007) of AUD, as well as higher frequency (P < 0.0001) of cigarette smoking. Bivariate analyses showed that the expected positive associations between alcohol drinking and cigarette smoking, observed among White individuals, were blunted or absent among Black individuals [age at first cigarette-AUD identification test (AUDIT) score: F(1, 292) = 7.60, P = 0.006; cigarette pack years-AUDIT score: F(1, 1111) = 10.97, P = 0.001]. CONCLUSIONS: Some decoupling in the association between alcohol drinking and cigarette smoking was found among Black compared to White individuals. The sample was drawn from a specific population enrolled in alcohol research protocols, which is a limitation of the present study. These preliminary findings highlight the importance of considering racial/ethnic background in preventive and therapeutic strategies for comorbid alcohol and nicotine use.

Blood Biomarkers of Alcohol Use: A Scoping Review.

Purpose of Review: Understanding whether a person has consumed alcohol or not, as well as quantitative assessment of alcohol use, are often based on self-reported measures, which may be subject to recall bias, among other challenges. Although not without limitations, blood biomarkers may complement self-reported assessments to provide a more accurate determination of the presence and quantity of alcohol use. The aim of this review is to provide a critical overview of the current knowledge and research on biomarkers of alcohol use, with a particular focus on blood tests. Recent Findings: This scoping review summarizes the published work on blood tests currently used in clinical practice, including phosphatidyl ethanol (PEth), fatty acid ethyl ester (FAEE), carbohydrate-deficient transferrin (CDT), total serum sialic acid (TSA), mean corpuscular volume (MCV), alanine aminotransferase (ALT), aspartate aminotransferase (AST), gamma glutamyl transpeptidase (GGT), and cholesteryl ester transfer protein (CETP). Emerging blood biomarkers with a potential use to assess alcohol drinking are also briefly reviewed, including N-Acetyl-ß-Hexosaminidase (Beta-Hex), macrophage migration inhibitory factor (MIF), and D-dopachrome tautomerase (DDT). We discuss the aforementioned biomarkers in the context of their clinical implications, characteristics, strengths, and limitations. Summary: The available blood biomarkers considerably vary in the time period in which they detect alcohol use and the amount of alcohol they are sensitive to. While currently available biomarkers provide useful information, especially in combination with self-reported measures, future work is needed to identify more sensitive and specific blood biomarkers for different levels and patterns of alcohol use. Integration of such biomarkers into clinical practice and research will increase the accuracy and richness of the data and may guide more effective and targeted strategies for prevention, diagnosis, and treatment of excessive alcohol use.