Objective
Adolescents with congenital heart disease (CHD) are exposed to disease-related stressors and have elevated risk for cardiovascular and cognitive complications that are exacerbated by e-cigarettes and marijuana. The aims of this cross-sectional study are to: (1) identify the association between perceived global and disease-related stress and susceptibility to e-cigarettes and marijuana, (2) determine if the association between stress and susceptibility differs by gender, and (3) explore the association between stress and ever use of e-cigarettes and marijuana among adolescents with CHD;
Methods
Adolescents with CHD (N = 98; aged 12–18 years) completed self-report measures of susceptibility to/ever use of e-cigarettes and marijuana and global and disease-related stress;
Results
Susceptibility to e-cigarettes and marijuana was reported by 31.3% and 40.2% of adolescents, respectively. Ever use of e-cigarettes and marijuana was reported by 15.3% and 14.3% of adolescents, respectively. Global stress was associated with susceptibility to and ever use of e-cigarettes and marijuana. Disease-related stress was associated with susceptibility to marijuana. Females reported more global and disease-related stress than males, but the association of stress with susceptibility to e-cigarettes and marijuana did not differ by gender.
Conclusions
Susceptibility to e-cigarettes and marijuana is common among adolescents with CHD and is associated with stress. Future work to examine the longitudinal associations between susceptibility, stress, and use of e-cigarettes and marijuana is warranted. Global stress may be an important consideration in the development of strategies to prevent these risky health behaviors among adolescents with CHD.
OBJECTIVES/GOALS: Adolescents with congenital heart defects (CHD) have an elevated risk for future cardiovascular events, but information about their risk for e-cigarette use (“vaping”) is unknown. This study aims to present preliminary findings on gender differences in the association of impulsive behavior and vaping susceptibility from an ongoing investigation. METHODS/STUDY POPULATION: Adolescents with CHD (12-18 years; N=63) reported their vaping susceptibility and completed subjective (UPPS-P)/objective (Iowa Gambling Task; IGT) assessments of impulsive behavior previously associated with tobacco use. The UPPS-P includes 5 facets: 1) negative urgency (impulsivity under negative emotions), 2) positive urgency (impulsivity under positive emotions), 3) lack of premeditation (acting without thinking), 4) lack of perseverance (inability to focus), and 5) sensation seeking (seeking thrilling experiences). The IGT is a computerized task that creates conflict between immediate reward and delayed punishment via selections from advantageous/disadvantageous card decks. Linear regressions stratified by gender determined associations between vaping susceptibility and impulsivity. RESULTS/ANTICIPATED RESULTS: Nearly 30% (29.7%) of adolescents with CHD were susceptible to vaping. Negative urgency was associated with vaping susceptibility among females (β = 0.44, p = .035) but not males (β = 0.25, p = .128). Positive urgency was associated with vaping susceptibility among males (β = 0.37, p = .021) and trended toward significance among females (β = 0.40, p = .058). Lack of premeditation was associated with vaping susceptibility among males (β = 0.36, p = .025) but not females (β = 0.15, p = .490). The association between lack of perseverance and vaping susceptibility trended toward significance among males (β = 0.30, p = .064) but not females (β = -0.18, p = .413). IGT performance was not associated with susceptibility to vaping among either gender. UPPS-P facets and IGT performance were not significantly correlated. DISCUSSION/SIGNIFICANCE: The association of impulsivity and vaping susceptibility appears to be characterized by emotion-based rash action (positive/negative urgency) for females and by decreased conscientiousness (lack of premeditation/perseverance) for males. If replicated, the findings have implications for assessment of vaping risk and tailored intervention.
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