Margin for error: examining racial and ethnic trends in adolescent risk propensity

Trends in alcohol use disorder symptoms among U.S. adults disaggregated by sex, race, and age

PURPOSE

Population-based studies of alcohol-related trends typically collapse across sex while examining race and/or age, limiting understanding of shifts in alcohol involvement at the intersection of sex, race, and age. Therefore, this study evaluated population-level trends in alcohol use and alcohol use disorder (AUD) symptoms as disaggregated within Hispanic, Black, and White female and male U.S. early and middle adults.

METHODS

Data were from years 2002 to 2019 of the National Survey on Drug Use and Health, Participants were 18 to 64, Hispanic, Black, or White, and consumed any alcohol. Annualized linear change estimates were computed to assess trends in past-month drinking days and AUD symptoms. Between groups analyses were also conducted to examine (a) sex differences within ethnoracial identity and (b) ethnoracial differences within sex. All analyses were further stratified across early (age 18 to 29) and middle adults (age 30 to 64).

RESULTS

Number of drinking days increased only among Black early adult females and Black middle adult females and decreased for all males except for Black middle adults, with the strongest decrease for Black early adult males. AUD symptoms decreased for all early adult males, and most strongly among Black males. Among middle adults, AUD symptoms decreased only among Hispanic males and increased among White males and females.

CONCLUSIONS AND RELEVANCE

National trends in alcohol use and AUD symptoms are distinct across subpopulations at the intersection of sex, race, and age. Continued disaggregated analyses across heterogeneous U.S. subpopulations are needed to better inform clinical care.

Prevalence and correlates of daily-level reasons not to drink among young adults who use alcohol

BACKGROUND

This study examined reasons not to drink in young adults in relation to demographics, alcohol use patterns, timing (weekend vs. weekday), and typical drinking motives.

METHODS

Young adults who reported past 30-day alcohol use and at least one nondrinking day (n = 614; mean age = 21.5 years ±0.53) completed a survey of alcohol-related measures (e.g., typical drinking motives) and up to 14 daily surveys that included 12 reasons not to drink assessed on nondrinking days. Multilevel logistic regressions were estimated for each reason not to drink and related covariates.

RESULTS

The most common reasons not to drink on a given day were "wasn't interested in drinking" (83.4% of nondrinking days) and "didn't want to get drunk" (81.8% of nondrinking days), with over 96% of participants endorsing each of these at least once. On days (11.6%; by 29.5% of participants) when another drug was used instead of alcohol, 81.8% used cannabis. Sex, race/ethnicity, weekend (vs. weekday), and drinking motives were differentially linked to reasons not to drink. Reporting high-intensity drinking (i.e., ≥10 drinking on a day) versus binge (5-9 drinks on a day) in the past 2 weeks was linked to "had a hangover recently" (odds ratio = 2.85) as a reason not to drink.

CONCLUSIONS

Findings suggest that reasons not to drink reflect personal decisions and highlight ways to acknowledge situational barriers (e.g., saving money for food and essentials) that can be emphasized in brief interventions. Furthermore, reasons not to drink and alcohol motives may work in tandem within the motivational model to impact alcohol use behaviors.

The Developmental Timing but Not Magnitude of Adolescent Risk-Taking Propensity Is Consistent Across Social, Environmental, and Psychological Factors

PURPOSE

Risk-taking is thought to peak during adolescence, but most prior studies have relied on small convenience samples lacking participant diversity. This study tested the generalizability of adolescent self-reported risk-taking propensity across a comprehensive set of participant-level social, environmental, and psychological factors.

METHODS

Data (N = 1,005,421) from the National Survey on Drug Use and Health were used to test the developmental timing and magnitude of risk-taking propensity and its link to alcohol and cannabis use across 19 subgroups defined via sex, race/ethnicity, socioeconomic status, population density, religious affiliation, and mental health.

RESULTS

The developmental timing of a lifespan peak in risk-taking propensity during adolescence (15-18 years old) generalized across nearly all levels of social, environmental, and psychological factors, whereas the magnitude of this peak widely varied. Nearly all adolescents with regular substance use reported higher levels of risk-taking propensity.

DISCUSSION

Results support a broad generalizability of adolescence as the peak lifespan period of self-reported risk-taking but emphasize the importance of participant-level factors in determining the specific magnitude of reported risk-taking.

Avoidance Self-Efficacy: Personal Indicators of Risky Sex and Substance Use among At-Risk Youth

Adolescent substance use (SU) is associated with risky sex behavior and sexually transmitted infections and is a risk factor for subsequent risky sex decisions. Based on a sample of 1,580 youth in residential SU treatment, this study investigated how a static factor (race) and two dynamic personal factors (risk-taking, assertiveness) contributed to adolescents' perceived ability to avoid high-risk SU and sex behavior (avoidance self-efficacy). Results showed that race correlated with risk-taking and assertiveness, with White youth reporting higher ratings of assertiveness and risk-taking. Self-reported assertiveness and risk-taking also predicted SU and risky sex avoidance. This study underscores the importance of race and personal factors in relation to adolescents' confidence in avoiding high-risk situations.

How to Measure Propensity to Take Risks in the Italian Context: The Italian Validation of the Risk Propensity Scale

Risk propensity is a multifaced construct that influences many aspects of life, such as decision making. In the present study, the psychometric characteristics of the Risk Propensity Scale (RPS) have been explored for the first time in an Italian sample. The RPS is a 7 item self-report questionnaire measuring people's tendency to take risks. The English RPS has been translated following the forward-backwards translation method, and it was filled out by 199 participants. Since its dimensionality has never been explored before, its factor structure has been analysed with exploratory factor analysis that confirmed the one-factor structure of the questionnaire and the retention of all the items. The Italian version of the RPS has high internal consistency (Cronbach alphas .78), and almost all the items were positively and significantly correlated. The convergent and discriminant validity, analysed by considering the associations with decision-making styles and an implicit measure of risk propensity, were satisfactory. Overall, the Italian version of the RPS is a valid and quick questionnaire useful to measure propensity to take risks in the Italian context.

Toward a typology of driving under the influence of alcohol and drugs

PURPOSE

Most research on driving under the influence (DUI) has relied upon variable-centered methods that examine predictors/correlates of DUI. In the present study, we utilize a person-level approach-latent class analysis (LCA)-to model a typology of individuals reporting DUI. This allows us to understand the degree to which individuals drive under the influence of a particular substance or do so across multiple substance types.

METHODS

We use public-use data collected between 2016 and 2019 from the National Survey on Drug Use and Health. The analytic sample was 189,472 participants with a focus on those reporting DUI of psychoactive substances in the past-year (n = 24,619). LCA was conducted using self-reported DUI of past-year alcohol, cannabis, cocaine, heroin, hallucinogens, and methamphetamine as indicator variables.

RESULTS

More than 1 in 10 Americans reported a DUI within the past-year. One in five people who reported DUI of one substance also reported DUI of at least one additional substance. Using LCA to model heterogeneity among individuals reporting DUI, four classes emerged: "Alcohol Only" (55%), "Cannabis and Alcohol" (36%), "Polydrug" (5%), and "Methamphetamine" (3%). Rates of risk propensity, drug involvement, illicit drug use disorders, and criminal justice system involvement were highest among members of the "Polydrug" and "Methamphetamine" classes.

CONCLUSION

Drug treatment centers should take care to include discussions of the dangers and decision-making processes related to DUI of the full spectrum of illicit substances. Greater investment in drug treatment across the service continuum, including the justice system, could prevent/reduce future DUI episodes.

Far from a monolith: a typology of externalizing behavior among African American youth

PURPOSE

Previous studies have examined externalizing behaviors among African American youth using variable-centered approaches that study aggression and delinquency separately. However, aggression and delinquency often operate together in shaping adolescent behavior. For this reason, person-centered approaches are essential for identifying subgroups of African American youth using multiple indicators of aggression and delinquency to model the behavioral heterogeneity within this population. We examined the relationship between interpersonal, school, and parenting factors and externalizing behaviors among African American youth.

METHOD

Drawing from the National Survey on Drug Use and Health 2015-2018, we conducted latent class analysis based on 5 externalizing behavior indicator variables (i.e., serious fight, attack to harm, stealing, drug selling, handgun carrying) using a sample of 7,236 African American adolescents, aged 12-17.

RESULTS

We identified a three class solution: Class #1-No Involvement (74.4%), characterized by very low levels of involvement in all of the externalizing behaviors examined; Class #2-Serious fight (23.3%), which is characterized by near-universal involvement in a serious fight, far lower levels of attack to harm, and negligible levels of stealing, drug selling, and handgun caring; and Class #3-Multidimensional externalizing (2.3%), characterized by very high levels of involvement in all of the externalizing variables examined.

CONCLUSION

Most African American youth are not involved in externalizing behaviors. It is vital to support both the large majority of African-American youth who are abstaining from externalizing behaviors and to develop/implement programs to address the contextual and interpersonal needs of youth at elevated risk for consequences related to externalizing.

Driving while under the influence of hallucinogens: Prevalence, correlates, and risk profiles

BACKGROUND

Hallucinogen use is rising in the US, yet little is known regarding the prevalence and psychosocial/behavioral correlates of driving under the influence of these drugs.

METHODS

This study examined data from 4447 individuals ages 16-64 who reported past-year hallucinogen use in the 2016-2018 National Survey on Drug Use and Health. Prevalence estimates (with 95% confidence intervals [CIs]) were calculated for driving under the influence of hallucinogens (DUIH). Logistic regression examined psychosocial/behavioral correlates of DUIH, and latent class analysis (LCA) characterized subgroups of individuals reporting DUIH.

RESULTS

The prevalence of past-year hallucinogen use was 2.42% (CI = 2.30-2.54) and, in the general population, the prevalence of DUIH was 0.21%. Among past-year hallucinogen users, 8.94% (CI = 7.74-10.31) reported DUIH on at least one occasion over the previous 12 months. The probability of DUIH increased significantly with more frequent use. Compared to individuals who used hallucinogens and did not report DUIH, individuals reporting DUIH were significantly more likely to report mental health problems; use of other illicit drugs; selling drugs; a past-year arrest; or driving under the influence of alcohol, cannabis, or other illicit drugs. LCA identified three classes of individuals reporting DUIH, characterized by: use of and driving under the influence of cannabis; use of and driving under the influence of cannabis and other illicit drugs; and mental health concerns.

CONCLUSIONS

Nearly one in ten individuals who report using hallucinogens also report driving under the influence of hallucinogens-drugs that affect perception and risk-taking, with alarming implications for driving safety.