OBJECTIVE: The acquired preparedness model (APM) posits that high sensitivity to reward biases individuals to learn and maintain positive outcome expectancies, which in turn increase substance use, and that high sensitivity to punishment biases individuals to learn and maintain negative outcome expectancies, decreasing use. Little work has applied the APM to cannabis use, particularly with longitudinal data and methods that separate within- and between-person associations. The current study addressed these gaps. METHOD: The sample comprised 314 emerging adults (age range: 19.13-21.39 years; 52% female; predominantly non-Hispanic White [76%] or African American [15%]) recruited using random-digit dialing. Data were taken from three annual assessments. Latent curve models with structure residuals were used to distinguish between- and within-person associations. We controlled for bidirectional associations and demographic covariates. RESULTS: At the between-person level, high sensitivity to reward was related to high positive expectancies and high cannabis use. High positive expectancies were associated with high cannabis use. High sensitivity to punishment was related to high negative expectancies and low cannabis use. No within-person associations were supported. CONCLUSIONS: These findings suggest a risk profile for emerging adult cannabis use involving high sensitivity to reward and positive expectancies and a protective profile involving high sensitivity to punishment and negative expectancies. However, our findings did not support the notion that the proposed learning processes unfold within individuals across annual assessments. Most notably, the findings emphasize the importance of disaggregating within- and between-person associations using a longitudinal design to better understand pathways to cannabis use in the developmental period of emerging adulthood.
OBJECTIVE: The acquired preparedness model (APM) posits that high sensitivity to reward biases individuals to learn and maintain positive outcome expectancies, which in turn increase substance use, and that high sensitivity to punishment biases individuals to learn and maintain negative outcome expectancies, decreasing use. Little work has applied the APM to cannabis use, particularly with longitudinal data and methods that separate within- and between-person associations. The current study addressed these gaps. METHOD: The sample comprised 314 emerging adults (age range: 19.13-21.39 years; 52% female; predominantly non-Hispanic White [76%] or African American [15%]) recruited using random-digit dialing. Data were taken from three annual assessments. Latent curve models with structure residuals were used to distinguish between- and within-person associations. We controlled for bidirectional associations and demographic covariates. RESULTS: At the between-person level, high sensitivity to reward was related to high positive expectancies and high cannabis use. High positive expectancies were associated with high cannabis use. High sensitivity to punishment was related to high negative expectancies and low cannabis use. No within-person associations were supported. CONCLUSIONS: These findings suggest a risk profile for emerging adult cannabis use involving high sensitivity to reward and positive expectancies and a protective profile involving high sensitivity to punishment and negative expectancies. However, our findings did not support the notion that the proposed learning processes unfold within individuals across annual assessments. Most notably, the findings emphasize the importance of disaggregating within- and between-person associations using a longitudinal design to better understand pathways to cannabis use in the developmental period of emerging adulthood.
Authors: Brooke J Arterberry; Hayley Treloar Padovano; Katherine T Foster; Robert A Zucker; Brian M Hicks Journal: Drug Alcohol Depend Date: 2018-12-17 Impact factor: 4.492
Authors: Karen J Derefinko; Tory A Eisenlohr-Moul; Jessica R Peters; Walter Roberts; Erin C Walsh; Richard Milich; Donald R Lynam Journal: Drug Alcohol Depend Date: 2016-06-01 Impact factor: 4.492