AI Article Synopsis
- Reservation-dwelling American Indian adolescents face a high risk of cannabis use, necessitating effective prevention initiatives to manage this issue.
- The study aimed to create predictive models for cannabis use by analyzing 22 risk and promotive factors, validated through longitudinal data over time.
- While the model performed well in predicting non-users, its ability to identify actual users decreased over time, highlighting potential gaps in targeting those in need of intervention and emphasizing the need to track changes in risk factors.
Article Abstract
Reservation-dwelling American Indian adolescents are at exceedingly high risk for cannabis use. Prevention initiatives to delay the onset and escalation of use are needed. The risk and promotive factors approach to substance use prevention is a well-established framework for identifying the timing and targets for prevention initiatives. This study aimed to develop predictive models for the usage of cannabis using 22 salient risk and promotive factors. Models were developed using data from a cross-sectional study and further validated using data from a separate longitudinal study with three measurement occasions (baseline, 6-month follow-up, 1-year follow-up). Application of the model to longitudinal data showed an acceptable performance contemporaneously but waning prospective predictive utility over time. Despite the model's high specificity, the sensitivity was low, indicating an effective prediction of non-users but poor performance in correctly identifying users, particularly at the 1-year follow-up. This divergence can have significant implications. For example, a model that misclassifies future adolescent cannabis use could fail to provide necessary intervention for those at risk, leading to negative health and social consequences. Moreover, supplementary analysis points to the importance of considering change in risk and promotive factors over time.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11321935 | PMC |
| http://dx.doi.org/10.1007/s11121-024-01649-y | DOI Listing |
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