Adolescents at risk for drug abuse: a 3-year dual-process analysis.
Aims To test longitudinal additive and synergistic dual-process models in youth at documented risk for drug use. The specific dual-process approach examined suggests that engaging in drug use behaviors results from a dynamic interplay between automatically activated associative memory processes and...
| Publicado en: | Addiction Vol. 112; no. 5; pp. 852 - 864 |
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| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
May2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=122313848&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 122313848 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09652140 AIO jtl: Addiction issn: 09652140 maglogo: Y pubinfo: dt: May2017 vid: 112 iid: 5 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 122313848 122313848 122313848 10.1111/add.13742 122313848 ppf: 852 ppct: 12 formats: fmt: @attributes: type: P tig: atl: Adolescents at risk for drug abuse: a 3-year dual-process analysis. aug: au: Ames, Susan L. Xie, Bin Shono, Yusuke Stacy, Alan W. affil: School of Community and Global Health, Claremont Graduate University, Claremont CA, USA sug: subj: Substance Abuse Risk Factors Human Adolescence Male Female California Behavior, Addictive Memory Executive Function Prospective Studies Self Assessment Descriptive Statistics Alcohol Drinking Cannabis Smoking P-Value Sex Factors Schools, Secondary Chi Square Test Fisher's Exact Test Unpaired T-Tests Intraclass Correlation Coefficient Structural Equation Modeling Aptitude Tests Maximum Likelihood Data Analysis Software Confidence Intervals Funding Source Adolescent: 13-18 years Male Female ab: Aims To test longitudinal additive and synergistic dual-process models in youth at documented risk for drug use. The specific dual-process approach examined suggests that engaging in drug use behaviors results from a dynamic interplay between automatically activated associative memory processes and executive reflective/control processes. Design This 3-year, three-wave population-based prospective study used mobile computer-based assessments. Setting Self-directed computer assessments were completed in school settings in the Los Angeles metropolitan area, California, USA. Participants Seven hundred and twenty-five at-risk adolescents (44% female) in continuation high schools were recruited during 9th grade (age at recruitment, 14-16). Measurements Key outcome measures included past year alcohol, marijuana and cigarette use at each assessment. Predictors included working memory capacity (WMC), associative memory, the interaction term WMC by associative memory, sex, age, ethnicity and acculturation. Findings A significant cross-sectional interaction revealed tobacco-relevant associations were weaker predictors of cigarette use among males with higher WMC than among those with lower WMC ( P < 0.004). Alternatively, drug-relevant associations were stronger predictors of past year alcohol ( P < 0.001) and marijuana use ( P = 0.02) among females with higher WMC than among those with lower WMC. Longitudinal analyses revealed no significant interactions after adjusting for predictive effects of previous drug use. With respect to WMC, females with higher WMC were less likely to use marijuana at 2-year follow-up ( P = 0.03). First-order effects of drug-related associations predicted greater alcohol and marijuana use prospectively in males at 1- and 2-year follow up ( P ≤ 0.03), and greater past year alcohol and marijuana use in females at 1-year follow up ( P ≤ 0.03). Conclusions Drug-relevant memory associations play a key role in drug use behavior in at-risk youth. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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