Dataset Information

Transactions Between Substance Use Intervention, the Oxytocin Receptor (OXTR) Gene, and Peer Substance Use Predicting Youth Alcohol Use.

ABSTRACT: This study investigated the oxytocin receptor (OXTR) gene's moderation of associations between exposure to a substance misuse intervention, average peer substance use, and adolescents' own alcohol use during the 9th-grade. OXTR genetic risk was measured using five single nucleotide polymorphisms (SNPs), and peer substance use was based on youths' nominated closest friends' own reports of alcohol, cigarette, and marijuana use, based on data from the PROSPER project. Regression models revealed several findings. First, low OXTR risk was linked to affiliating with friends who reported less substance use in the intervention condition but not the control condition. Second, affiliating with high substance-using friends predicted youth alcohol risk regardless of OXTR risk or intervention condition. Third, although high OXTR risk youth in the intervention condition who associated with low substance-using friends reported somewhat higher alcohol use than comparable youth in the control group, the absolute level of alcohol use among these youth was still among the lowest in the sample.

SUBMITTER: Cleveland HH

PROVIDER: S-EPMC5696096 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature

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Transactions Between Substance Use Intervention, the Oxytocin Receptor (OXTR) Gene, and Peer Substance Use Predicting Youth Alcohol Use.

Cleveland H Harrington HH Griffin Amanda M AM Wolf Pedro S A PSA Wiebe Richard P RP Schlomer Gabriel L GL Feinberg Mark E ME Greenberg Mark T MT Spoth Richard L RL Redmond Cleve C Vandenbergh David J DJ

Prevention science : the official journal of the Society for Prevention Research 20180101 1

This study investigated the oxytocin receptor (OXTR) gene's moderation of associations between exposure to a substance misuse intervention, average peer substance use, and adolescents' own alcohol use during the 9th-grade. OXTR genetic risk was measured using five single nucleotide polymorphisms (SNPs), and peer substance use was based on youths' nominated closest friends' own reports of alcohol, cigarette, and marijuana use, based on data from the PROSPER project. Regression models revealed sev ...[more]

PMID: 28150062

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Project description:BackgroundYouth in sub-Saharan Africa are at high risk of substance use yet lack access to substance use interventions. The goal of this project was to evaluate the feasibility and acceptability of a peer-delivered, single-session substance use screening and brief intervention program for youth in Kenya.MethodsThis was a convergent parallel mixed methods study utilizing both quantitative and qualitative approaches. Two trained peer providers administered the screening and brief intervention program to 100 youth aged 15-24 years. To evaluate the implementation of the intervention, we collected quantitative and qualitative data. Feasibility and acceptability were quantitatively assessed using the Dissemination and Implementation Measures. Fidelity was assessed by rating all 100 audio-recorded sessions using a checklist. To obtain qualitative feedback on the intervention, we conducted five focus group discussions with 25 youths and six semi-structured interviews with two peer providers and four clinic leaders. The semi-structured interviews were guided by the Consolidated Framework for Implementation Research. Quantitative data was analyzed via descriptive statistics using STATA. Qualitative data was analyzed using thematic analysis with NVIVO.ResultsThe lifetime prevalence of any substance use was 50%. The mean level of acceptability of the intervention from the perspective of the youth was 3.53 (SD 0.15), meaning that the youth found the intervention to be acceptable "a lot" of the time. Mean levels of implementation outcomes (acceptability, adoption, Acceptability, Appropriateness, Feasibility, Reach/access, Organizational climate, General leadership skills, and Sustainability) as rated by peer providers and clinic staff ranged between 2.61 ("a moderate amount") and 4.0 ("a lot"). In qualitative data, youth reported that the intervention was helpful and useful in enabling them to stop or reduce substance use. The peer providers felt that the intervention was easy to implement, while the clinic leaders felt that available resources were adequate, and that the intervention aligned well with the goals of the clinic.ConclusionOur findings suggest that the peer-delivered screening and brief intervention program was perceived as acceptable to the youth and feasible to implement.Trial registrationNCT04998045 Registration date: 10/08/2021.

Project description:BackgroundDigital self-help interventions for reducing the use of alcohol tobacco and other drugs (ATOD) have generally shown positive but small effects in controlling substance use and improving the quality of life of participants. Nonetheless, low adherence rates remain a major drawback of these digital interventions, with mixed results in (prolonged) participation and outcome. To prevent non-adherence, we developed models to predict success in the early stages of an ATOD digital self-help intervention and explore the predictors associated with participant's goal achievement.MethodsWe included previous and current participants from a widely used, evidence-based ATOD intervention from the Netherlands (Jellinek Digital Self-help). Participants were considered successful if they completed all intervention modules and reached their substance use goals (i.e., stop/reduce). Early dropout was defined as finishing only the first module. During model development, participants were split per substance (alcohol, tobacco, cannabis) and features were computed based on the log data of the first 3 days of intervention participation. Machine learning models were trained, validated and tested using a nested k-fold cross-validation strategy.ResultsFrom the 32,398 participants enrolled in the study, 80% of participants did not complete the first module of the intervention and were excluded from further analysis. From the remaining participants, the percentage of success for each substance was 30% for alcohol, 22% for cannabis and 24% for tobacco. The area under the Receiver Operating Characteristic curve was the highest for the Random Forest model trained on data from the alcohol and tobacco programs (0.71 95%CI 0.69-0.73) and (0.71 95%CI 0.67-0.76), respectively, followed by cannabis (0.67 95%CI 0.59-0.75). Quitting substance use instead of moderation as an intervention goal, initial daily consumption, no substance use on the weekends as a target goal and intervention engagement were strong predictors of success.DiscussionUsing log data from the first 3 days of intervention use, machine learning models showed positive results in identifying successful participants. Our results suggest the models were especially able to identify participants at risk of early dropout. Multiple variables were found to have high predictive value, which can be used to further improve the intervention.

Dataset Information

Transactions Between Substance Use Intervention, the Oxytocin Receptor (OXTR) Gene, and Peer Substance Use Predicting Youth Alcohol Use.

Publications

Transactions Between Substance Use Intervention, the Oxytocin Receptor (OXTR) Gene, and Peer Substance Use Predicting Youth Alcohol Use.

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