Marijuana and Alcohol Use and Attempted Smoking Cessation in Adolescent Boys and Girls

Kong, Grace; Bagot, Kara; Hoff, Rani A.; Potenza, Marc N.; Krishnan‐Sarin, Suchitra

doi:10.1080/08897077.2014.958207

Cited by 6 publications

(4 citation statements)

References 26 publications

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“…No data were available on the extent of addiction of smoking, though this has previously been shown to be associated with cessation [ 14 ]. Similarly, other studies have demonstrated an association between frequency of adolescent drug and alcohol use and making a quit attempt [ 15 ]; we found no significant associations between reported substance use and use of cessation support, though our definition of substance use was less detailed compared to other studies as we were not able to identify frequency of cannabis use or binge drinking from the survey dataset.…”

Section: Discussioncontrasting

confidence: 42%

What are the main sources of smoking cessation support used by adolescent smokers in England? A cross-sectional study

2015

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BackgroundAdolescent smoking is a worldwide public health concern. Whilst various support measures are available to help young smokers quit, their utilization of cessation support remains unknown.MethodsA cross-sectional study was conducted using data from the 2012 Smoking, Drinking and Drug Use among Young People survey to quantify the use of seven different types of cessation support by adolescents aged 11-16 in England who reported current smoking and having tried to quit, or ex-smoking. Logistic regression was used to calculate odds ratios and 95 % confidence intervals for the associations between participant characteristics and reported use of cessation support.ResultsAmongst 617 current and ex-smokers, 67.3 % (95 % CI 63.0-71.2) reported use of at least one cessation support measure. Not spending time with friends who smoke was the most commonly-used measure, reported by 45.4 % of participants (95 % CI 41.1-49.8), followed by seeking smoking cessation advice from family or friends (27.4 %, 95 % CI 23.7-31.5) and using nicotine products (15.4 %, 95 % CI 12.6-18.7). Support services provided by the National Health Service (NHS) were infrequently utilized. Having received lessons on smoking was significantly associated with reported use of cessation support (adjusted OR 1.55, 95 % CI 1.02-2.34) and not spending time with friends who smoked (adjusted OR 1.98, 95 % CI 1.33-2.95). Students with family members who smoked were more likely to report asking family or friends for help to quit (adjusted OR 1.74, 95 % CI 1.07-2.81). Respondents who smoked fewer cigarettes per week were generally less likely to report use of cessation support measures.ConclusionThe majority of young smokers reported supported attempts to quit, though the support they used tended to be informal rather than formal. Evidence is needed to quantify the effectiveness of cessation support mechanisms which are acceptable to and used by young smokers.

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Section: Discussioncontrasting

confidence: 42%

What are the main sources of smoking cessation support used by adolescent smokers in England? A cross-sectional study

2015

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“…Simultaneously, there is a negative cohort effect, suggesting that the largest increases in frequent cannabis use are observed among older rather than younger cohorts; that is, frequent cannabis use is increasing more rapidly among those born before 1995 than those born after 1995. Observed trends are consistent across sex, parental education and race/ethnicity and across different cut‐points for the definition of ‘frequent’ cannabis use, a term that is inconsistently defined in the literature . While trends are consistent even when stratified by demographic groups, the relationship between demographic groups and frequent cannabis use are themselves shifting across time.…”

Section: Discussionmentioning

confidence: 84%

Age, period and cohort effects in frequent cannabis use among US students: 1991–2018

et al. 2019

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Background and Aims As the legal status of cannabis changes across the United States and modes of administration expand, it is important to examine the potential impact on adolescent cannabis use. This study aimed to assess changes in prevalence of frequent cannabis use in adolescents in the United States and how far this varies by age and cohort. Design Analysis of Monitoring the Future, a nationally representative annual survey of 8th‐, 10th‐ and 12th‐grade students in the United States conducted from 1991 to 2018. Setting In‐school surveys completed by US adolescents. Participants A total of 1 236 159 8th‐, 10th‐ and 12th‐graders; 51.5% female, 59.6% non‐Hispanic white, 12.3% non‐Hispanic black, 13.4% Hispanic and 14.7% other race/ethnicity. Measurements Frequent cannabis use (FCU), defined as six or more occasions in the past 30 days, stratified by sex, race/ethnicity and parental education. Findings FCU among US adolescents increased over the study period; the peak in 2010–18 was 11.4% among 18‐year‐old students. This increase was best explained by both period and cohort effects. Compared with respondents in 2005, adolescents surveyed in 2018 had period effects in FCU that were 1.6 times greater. Adolescents in younger birth cohorts (those born > 1988) had a lower increase in FCU than those born prior to 1988. Results were consistent across sex, parent education and race/ethnicity, with period effects indicating increasing FCU after 2005 and cohort effects indicating a lower magnitude of increase in more recent birth cohorts. Age and parental education disparities in FCU have increased over time, whereas race/ethnicity differences have converged over time; black students were 0.67 [95% confidence interval (CI) = 0.64–0.70] times as likely to use cannabis frequently as white students from 1991 to 2000, and 1.03 (95% CI = 0.98–1.09) times as likely from 2011 to 2018 (P‐value for time interaction < 0.001). Conclusions The prevalence of frequent cannabis use (FCU) increased from 1991 to 2018 among older adolescents in the United States. Racial/ethnic differences in FCU converged, whereas parental education differences have diverged.

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“…Binge-Drinking-Severity Groups: As previously described (Camenga et al 2014), participants were stratified into one of four drinking groups: non-drinking, non-binge-drinking, low-frequency-binge-drinking, and high-frequency-binge-drinking. Participants with no lifetime alcohol use were classified as non-drinking.…”

Section: Methodsmentioning

confidence: 99%

Relationships Between Perceived Family Gambling and Peer Gambling and Adolescent Problem Gambling and Binge-Drinking

Zhai

Yip

Steinberg³

et al. 2017

J Gambl Stud

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Purpose The study systematically examined the relative relationships between perceived family and peer gambling and adolescent at-risk/problem gambling and binge-drinking. It also determined the likelihood of at-risk/problem gambling and binge-drinking as a function of the number of different social groups with perceived gambling. Methods A multi-site high-school survey assessed gambling, alcohol use, presence of perceived excessive peer gambling (Peer Excess – PE), and family gambling prompting concern (Family Concern – FC) in 2,750 high-school students. Adolescents were separately stratified into: 1) low-risk, at-risk, and problem/pathological gambling groups; and, 2) non-binge-drinking, low-frequency -binge-drinking, and high-frequency-binge-drinking groups. Results Multinomial logistic regression showed that relative to each other, FC and PE were associated with greater likelihoods of at-risk and problem/pathological gambling. However, only FC was associated with binge-drinking. Logistic regression revealed that adolescents who endorsed either FC or PE alone, compared to no endorsement, were more likely to have at-risk and problem/pathological gambling, relative to low-risk gambling. Adolescents who endorsed both FC and PE, compared to PE alone, were more likely to have problem/pathological gambling relative to low-risk and at-risk gambling. Relative to non-binge-drinking adolescents, those who endorsed both FC and PE were more likely to have low- and high-frequency-binge-drinking compared to FC alone or PE alone, respectively. Conclusions Family and peer gambling individually contribute to adolescent at-risk/problem gambling and binge-drinking. Strategies that target adolescents as well as their closely affiliated family and peer members may be an important step towards prevention of harm-associated levels of gambling and alcohol use in youths.

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Marijuana and Alcohol Use and Attempted Smoking Cessation in Adolescent Boys and Girls

Cited by 6 publications

References 26 publications

What are the main sources of smoking cessation support used by adolescent smokers in England? A cross-sectional study

What are the main sources of smoking cessation support used by adolescent smokers in England? A cross-sectional study

Age, period and cohort effects in frequent cannabis use among US students: 1991–2018

Relationships Between Perceived Family Gambling and Peer Gambling and Adolescent Problem Gambling and Binge-Drinking

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