This is a two part study. Study 1 will compare Approach Avoidance Training (AAT) responses in smokers and nonsmokers in order to confirm that adolescent smokers experience cognitive bias towards tobacco-related stimuli.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
TREATMENT
Masking
SINGLE
Enrollment
40
Smokers and nonsmokers complete AAT experiment
Yale University, School of Medicine, Dpeartment of Psychiatry
New Haven, Connecticut, United States
automatic approach tendencies towards smoking-related stimuli
For all AAT comparisons, the investigators will compare median scores (to minimize influence of outliers) for cigarette approach and cigarette avoid RTs. The difference between these values gives the smoking AAT-scores, which the investigators expect to not differ from zero in the non-smokers (or to show mild avoidance), while it is expect that smokers will be faster to approach than to avoid cigarettes. ANOVA models will be used to compare scores in smokers vs. nonsmokers. Regression analyses will be used to explore the relationships between impulsivity-related measures and AAT responses.
Time frame: at end of AAT at Day 1
automatic approach tendencies towards smoking-related stimuli
For all AAT comparisons, the investigators will compare median scores (to minimize influence of outliers) for cigarette approach and cigarette avoid RTs. The difference between these values gives the smoking AAT-scores, which the investigators expect to not differ from zero in the non-smokers (or to show mild avoidance), while it is expected that smokers will be faster to approach than to avoid cigarettes. ANOVA models will be used to compare scores in smokers vs. nonsmokers. Regression analyses will be used to explore the relationships between impulsivity-related measures and AAT responses.
Time frame: at end of AAT at Day 8
automatic approach tendencies towards smoking-related stimuli
For all AAT comparisons, the investigators will compare median scores (to minimize influence of outliers) for cigarette approach and cigarette avoid RTs. The difference between these values gives the smoking AAT-scores, which the investigators expect to not differ from zero in the non-smokers (or to show mild avoidance), while it is expected that smokers will be faster to approach than to avoid cigarettes. ANOVA models will be used to compare scores in smokers vs. nonsmokers. Regression analyses will be used to explore the relationships between impulsivity-related measures and AAT responses.
Time frame: at end of AAT at Day 15
automatic approach tendencies towards smoking-related stimuli
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For all AAT comparisons, the investigators will compare median scores (to minimize influence of outliers) for cigarette approach and cigarette avoid RTs. The difference between these values gives the smoking AAT-scores, which the investigators expect to not differ from zero in the non-smokers (or to show mild avoidance), while it is expected that smokers will be faster to approach than to avoid cigarettes. ANOVA models will be used to compare scores in smokers vs. nonsmokers. Regression analyses will be used to explore the relationships between impulsivity-related measures and AAT responses.
Time frame: at end of AAT at Day 22
automatic approach tendencies towards smoking-related stimuli
For all AAT comparisons, the investigators will compare median scores (to minimize influence of outliers) for cigarette approach and cigarette avoid RTs. The difference between these values gives the smoking AAT-scores, which the investigators expect to not differ from zero in the non-smokers (or to show mild avoidance), while it is expected that smokers will be faster to approach than to avoid cigarettes. ANOVA models will be used to compare scores in smokers vs. nonsmokers. Regression analyses will be used to explore the relationships between impulsivity-related measures and AAT responses.
Time frame: at end of AAT at Day 29