OBJECTIVE: To describe the clinical and psychosocial characteristics, and their hypothesized interrelations, as it pertains to risk for stimulant diversion (sharing, selling, or trading) for adolescents in pediatric primary care treatment for attention-deficit/hyperactivity disorder. METHODS: Baseline data for 341 adolescents in a cluster-randomized controlled trial of stimulant diversion prevention in pediatric primary care (NCT_03080259) were used to (1) characterize diversion and newly measured risk factors, (2) examine their associations with age and sex, and (3) test whether associations among risk factors were consistent with model-implied predictions. Data were collected through multi-informant electronic surveys from adolescents and parents. RESULTS: Diversion was rare (1%) in this sample (Mage = 15, SD = 1.5, 74% male participants). Older age was associated with being approached to divert (r = 0.25, p < 0.001) and higher risk on variables pertinent to stimulant treatment, such as treatment disclosure (r = 0.12, p < 0.05), tolerance for stimulant misuse and diversion (r = 0.17, p < 0.05), and peer norms favorable to stimulant misuse and diversion (r values = 0.15-0.34, p < 0.001). Sex differences were minimal. Variables from our conceptual model and specific to stimulants (e.g., perceived likelihood of negative consequences from diversion and schoolmate stimulant misuse/diversion) were related in multivariable regressions to hypothesized immediate precursors of diversion (e.g., diversion intentions). CONCLUSION: Although diversion was rare for these primary care-treated adolescents, risk levels appear to be higher for older adolescents. Prevention may be most effective by capitalizing on current psychosocial strengths and discussing stimulant-specific attitudes, behaviors, and social norms before vulnerability to diversion increases in the final years of high school and into college.
OBJECTIVE: To describe the clinical and psychosocial characteristics, and their hypothesized interrelations, as it pertains to risk for stimulant diversion (sharing, selling, or trading) for adolescents in pediatric primary care treatment for attention-deficit/hyperactivity disorder. METHODS: Baseline data for 341 adolescents in a cluster-randomized controlled trial of stimulant diversion prevention in pediatric primary care (NCT_03080259) were used to (1) characterize diversion and newly measured risk factors, (2) examine their associations with age and sex, and (3) test whether associations among risk factors were consistent with model-implied predictions. Data were collected through multi-informant electronic surveys from adolescents and parents. RESULTS: Diversion was rare (1%) in this sample (Mage = 15, SD = 1.5, 74% male participants). Older age was associated with being approached to divert (r = 0.25, p < 0.001) and higher risk on variables pertinent to stimulant treatment, such as treatment disclosure (r = 0.12, p < 0.05), tolerance for stimulant misuse and diversion (r = 0.17, p < 0.05), and peer norms favorable to stimulant misuse and diversion (r values = 0.15-0.34, p < 0.001). Sex differences were minimal. Variables from our conceptual model and specific to stimulants (e.g., perceived likelihood of negative consequences from diversion and schoolmate stimulant misuse/diversion) were related in multivariable regressions to hypothesized immediate precursors of diversion (e.g., diversion intentions). CONCLUSION: Although diversion was rare for these primary care-treated adolescents, risk levels appear to be higher for older adolescents. Prevention may be most effective by capitalizing on current psychosocial strengths and discussing stimulant-specific attitudes, behaviors, and social norms before vulnerability to diversion increases in the final years of high school and into college.
Authors: Steven W Evans; Christine E Brady; Judith R Harrison; Nora Bunford; Lee Kern; Talida State; Christiana Andrews Journal: J Clin Child Adolesc Psychol Date: 2012-12-05
Authors: Niloofar Bavarian; Brian R Flay; Patricia L Ketcham; Ellen Smit; Cathy Kodama; Melissa Martin; Robert F Saltz Journal: Drug Alcohol Depend Date: 2014-03-12 Impact factor: 4.492
Authors: Elizabeth A McGuier; David J Kolko; Sarah L Pedersen; Heidi L Kipp; Heather M Joseph; Rachel A Lindstrom; Daniel J Bauer; Geetha A Subramaniam; Brooke S G Molina Journal: Prev Sci Date: 2022-08-11