E-cigarette prevention efforts toward youth should include limiting e-cigarette flavors, communicating messages emphasizing the health risks of use, and changing social norms surrounding the use of e-cigarettes. The results should be interpreted in light of the limitations of this study.
Objective-To examine the relationship between impulsivity and smoking cessation treatment response among adolescents.Methods-Thirty adolescent smokers participated in a high school based smoking cessation program combining contingency management and cognitive behavioral therapy. Self-report (Barratt Impulsiveness Scale (BIS-11); Kirby Delay Discounting Measure (DDM)) and behavioral (Experiential Discounting Task (EDT); Continuous Performance Task (CPT)) measures of impulsivity were assessed at treatment onset.Results-Sixteen participants (53%) were abstinent from smoking at completion of the four-week study. Compared to abstinent adolescents, those not achieving abstinence discounted monetary rewards more on the EDT and committed more commission errors on the CPT. Group differences were not observed on the BIS-11 or DDM.Conclusions-These preliminary results suggest that specific behavioral measures of impulsivity may be associated with the ability to initiate and/or maintain abstinence from smoking among adolescent smokers.
There is concern about the potential for negative impact of video games on youth. However the existing literature on gaming is inconsistent and has often focused on aggression. Health correlates of gaming and the prevalence and correlates of problematic gaming have not been systematically studied. We anonymously surveyed 4,028 adolescents about gaming, reported problems with gaming, and other health behaviors. 51.2% of the sample reported gaming (76.3% of boys and 29.2% of girls). There were no negative health correlates of gaming in boys, and lower odds of smoking regularly; however, girls who reported gaming were less likely to report depression, and more likely to report getting into serious fights and carrying a weapon to school. Among gamers, 4.9% reported problematic gaming, defined as reporting trying to cut back, experiencing an irresistible urge to play, and experiencing a growing tension that could only be relieved by playing. Boys were more likely to report these problems (5.8%) than girls (3.0%). Correlates of problematic gaming included regular cigarette smoking, drug use, depression, and serious fights. Results suggest that gaming is largely normative in boys and not associated with many health factors. In girls, however, gaming appears associated with more externalizing behaviors and fewer internalizing symptoms. The prevalence of problematic gaming is low but not insignificant, and problematic gaming may be contained within a larger spectrum of externalizing behaviors. More research is needed to define safe levels of gaming, refine the definition of problematic gaming, and evaluate effective prevention and intervention strategies.
BACKGROUND AND OBJECTIVES: Electronic cigarette (e-cigarette) use is increasing rapidly among high school (HS) students. Of concern, e-cigarettes can be used to vaporize cannabis, although use rates among adolescents are unknown. We evaluated lifetime rates of using e-cigarettes to vaporize cannabis among all lifetime e-cigarette users (27.9%), all lifetime cannabis users (29.2%), and lifetime users of both e-cigarettes and cannabis (18.8%); common means of vaporizing cannabis including hash oil, wax infused with D-9-tetrahydrocannabinol (THC), and dried cannabis; and demographic predictors of using e-cigarettes to vaporize cannabis.
Introduction: There is limited evidence on electronic cigarette (e-cigarette) use among U.S. adolescents. Methods: Cross-sectional, anonymous surveys conducted in 4 high schools (HS; n = 3,614) and 2 middle schools (MS; n = 1,166) in Connecticut in November 2013 examined e-cigarette awareness, use patterns, susceptibility to future use, preferences, product components used (battery type, nicotine content, flavors), and sources of marketing and access. Results: High rates of awareness (MS: 84.3%; HS: 92.0%) and of lifetime (3.5% MS, 25.2 % HS) and current (1.5% MS, 12% HS) use of e-cigarettes was observed. Among those who had not tried e-cigarettes, 26.4% of MS and 31.7% of HS students reported being susceptible to future use. Males (OR = 1.70, p < .01), older students (OR = 1.39, p < .05), Caucasians (OR = 2.01, p < .001), ever cigarette smokers (OR = 13.04, p < .001), and current cigarette smokers (OR = 65.11, p < .001) were more likely to be lifetime e-cigarette users and to report greater future susceptibility (males: OR = 1.30; Caucasians: OR = 1.14; ever cigarette smokers; OR = 3.85; current cigarette smokers; OR = 9.81; ps < .01-.001). Among MS students who were lifetime e-cigarette users, 51.2% reported that e-cigarette was the first tobacco product they had tried. E-cigarettes that were rechargeable and had sweet flavors were most popular. Smokers preferred e-cigarettes to cigarettes. Current cigarette smokers were more likely to initiate with nicotine-containing e-cigarettes, and ever and never cigarette smokers to initiate with e-cigarettes without nicotine. Primary sources for e-cigarette advertisements were televisions and gas stations and, for acquiring e-cigarettes, were peers. Conclusions: Longitudinal monitoring of e-cigarette use among adolescents and establishment of policies to limit access are imperatively needed.
Objective The internet represents a new and widely available forum for gambling. However, relatively few studies have examined internet gambling in adolescents. This study sought to investigate the correlates of at-risk or problem gambling amongst adolescents acknowledging or denying gambling on the internet. Method Survey data from 2,006 Connecticut high-school-student gamblers were analyzed using chi-square and logistic regression analyses. Results At-risk/problem gambling was found more frequently in adolescent internet gamblers than in non-internet gamblers. As compared to at-risk/problem gambling in the non-internet gambling group, at-risk/problem gambling in the internet gambling group was more strongly associated with poor academic performance and substance use (particularly current heavy alcohol use; odds ratio=2.99; p=0.03) and less strongly associated with gambling with friends (odds ratio=0.32; p=0.0003). At-risk/problem gambling in both the internet and non-internet gambling groups, respectively, was associated at p<0.05 each with multiple adverse measures including dysphoria/depression (odds ratios=1.76, 1.96), getting into serious fights (odds ratios=2.50, 1.93), carrying weapons (odds ratios=2.11, 1.90), and use of tobacco (odds ratios=2.05, 1.88 for regular use), marijuana (odds ratios=2.02, 1.39) and other drugs (odds ratios=3.24, 1.67). Conclusions Clinically, it is important to assess for teenagers’ involvement in internet gambling, particularly as adolescent at-risk/problem internet gambling appears specifically associated with non-peer involvement, heavy alcohol use and poor academic functioning.
In adults, different levels of gambling problem severity are differentially associated with measures of health and general functioning, gambling behaviors and gambling-related motivations. Here we present data from a survey of 2,484 Connecticut high school students, and investigate the data stratifying by gambling problem severity based on DSM-IV criteria for pathological gambling. Problem/pathological gambling was associated with a range of negative functions; e.g., poor academic performance, substance use, dysphoria/depression, and aggression. These findings suggest a need for improved interventions related to adolescent gambling and a need for additional research into the relationship (e.g., mediating factors) between gambling and risk and protective behaviors.
E-cigarette use was associated with future cigarette use across 3 longitudinal waves, yet cigarette use was not associated with future e-cigarette use. Future research needs to examine mechanisms through which e-cigarette use leads to cigarette use. E-cigarette regulation and prevention programs may help prevent future use of cigarettes among youth.
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