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Predictors and moderators of response to brief interventions among adolescents with risky alcohol and marijuana use.

ABSTRACT: Background:Brief interventions have shown promise in reducing adolescent alcohol and marijuana use. This manuscript presents a secondary analysis of a randomized trial that compared a brief parent motivational intervention (Family Check Up; FCU) to brief psychoeducation (PE) condition and found no effect of treatment condition on either binge drinking or marijuana use days. The current analyses explored whether the response to treatment may have varied as a function of six empirically-based baseline moderators and predictors: biological sex, age, race/ethnicity, mental health problems, parent-adolescent communication, and peer deviance. Methods: Data from the parent trial randomizing 102 parents to either the FCU (n = 51) or PE (n = 51) interventions were re-analyzed across four time points (baseline, 3-, 6-, and 12-months). Moderators and predictors were tested via a series of hierarchical linear models. Results: Parent-adolescent communication and peer deviance emerged as significant predictors of adolescent treatment response. Specifically, low-levels of parent-adolescent communication or peer deviance were associated with worse treatment response (i.e., significant increases in binge drinking days and marijuana use days) in the PE condition, but not in the FCU condition. Non-Hispanic Whites and girls had worse treatment response, regardless of treatment condition. Conclusions: The FCU condition appeared to mitigate risks of poor parent-adolescent communication and affiliation with deviant peers better than the PE condition. Clinical recommendations for decision-making around assignment to brief interventions are discussed.

SUBMITTER: Becker SJ

PROVIDER: S-EPMC7511420 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundThe current study identifies predictors and moderators of substance use outcomes for 111 adolescents with co-occurring substance use and psychiatric disorders who participated in a randomized controlled trial that compared the effectiveness of two home-based treatments: an integrated cognitive behavioral therapy (I-CBT) protocol, in which masters-level clinic staff received intensive training and ongoing supervision in the use of this protocol versus a treatment-as-usual (TAU) comparison condition in which therapists received a continuing education-style CBT workshop in the same protocol.MethodThe study conducted exploratory predictor and moderator analyses of marijuana and heavy alcohol use outcomes using candidate variables across four domains of psychological characteristics: adolescent substance use, adolescent psychiatric symptoms, parent, and family.ResultsRegardless of treatment condition, low parental monitoring at baseline, as assessed by a videotaped interaction task, but not self-report, predicted greater percentage of marijuana use and heavy alcohol use days over the 6-month follow-up period. If parents entered treatment with low levels of parental monitoring, adolescents in the I-CBT condition reduced their percentage of heavy alcohol use days significantly more than adolescents in TAU over the 6-month follow-up period. Greater adolescent aggression and parental emotion dysregulation at baseline also predicted greater percentage of marijuana use days over the 6-month follow-up period for the sample as a whole. Adolescents in the I-CBT condition who reported low positive urgency at baseline reduced their percentage of heavy alcohol use days significantly more than adolescents in TAU care over the 6-month follow-up period.ConclusionThe article discusses implications for clinical decision-making, improving treatment effectiveness, and tailoring interventions for adolescents with co-occurring substance use and psychiatric disorders.

Project description:Brief interventions via the internet have been shown to reduce university students' alcohol intake. This study tested two smartphone applications (apps) targeting drinking choices on party occasions, with the goal of reducing problematic alcohol intake among Swedish university students.Students were recruited via e-mails sent to student union members at two universities. Those who gave informed consent, had a smartphone, and showed risky alcohol consumption according to the Alcohol Use Disorders Identification Test (AUDIT) were randomized into three groups. Group 1 had access to the Swedish government alcohol monopoly's app, Promillekoll, offering real-time estimated blood alcohol concentration (eBAC) calculation; Group 2 had access to a web-based app, PartyPlanner, developed by the research group, offering real-time eBAC calculation with planning and follow-up functions; and Group 3 participants were controls. Follow-up was conducted at 7 weeks.Among 28574 students offered participation, 4823 agreed to join; 415 were excluded due to incomplete data, and 1932 fulfilled eligibility criteria for randomization. Attrition was 22.7-39.3 percent, higher among heavier drinkers and highest in Group 2. Self-reported app use was higher in Group 1 (74%) compared to Group 2 (41%). Per-protocol analyses revealed only one significant time-by-group interaction, where Group 1 participants increased the frequency of their drinking occasions compared to controls (p?=?0.001). Secondary analyses by gender showed a significant difference among men in Group 1 for frequency of drinking occasions per week (p?=?0.001), but not among women. Among all participants, 29 percent showed high-risk drinking, over the recommended weekly drinking levels of 9 (women) and 14 (men) standard glasses.Smartphone apps can make brief interventions available to large numbers of university students. The apps studied using eBAC calculation did not, however, seem to affect alcohol consumption among university students and one app may have led to a negative effect among men. Future research should: 1) explore ways to increase user retention, 2) include apps facilitating technical manipulation for evaluation of added components, 3) explore the effects of adapting app content to possible gender differences, and 4) offer additional interventions to high-risk users.clinicaltrials.gov: NCT01958398.

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Predictors and moderators of response to brief interventions among adolescents with risky alcohol and marijuana use.

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