Mutual pathways between peer and own e-cigarette use among youth in the United States: a cross-lagged model.
Ontology highlight
ABSTRACT: Background
Electronic cigarettes (e-cigarettes) have become the most common tobacco product used among adolescents in the United States (US). Prior research has shown that peer e-cigarette use was associated with increased risk of own e-cigarette use. Nonetheless, there is little empirical evidence on the directionality of these associations-if peer use predicts own use (peer influence) or if own use predicts peer use (peer selection).Methods
We estimated the association between peer and own e-cigarette use among US adolescents 12-17 years of age. We used the cross-lagged model to investigate the mutual relationship between peer and own e-cigarette use over time using data from a population-based longitudinal study, Population Assessment of Tobacco and Health. Stratified analyses were conducted by sex and age subgroups.Results
Results from a cross-lagged model showed a statistically significant predicting path leading from peer use at the prior time point to own use at the following time point, but not vice versa.Conclusions
We found strong relationships between peer e-cigarette use and own e-cigarette use at within-individual levels. Peer influence paths were more robust than peer selection paths for e-cigarette use. Incorporating peers into prevention and intervention programs may help enhance these strategies.
SUBMITTER: Cheng HG
PROVIDER: S-EPMC10463603 | biostudies-literature | 2023 Aug
REPOSITORIES: biostudies-literature
Publications
Mutual pathways between peer and own e-cigarette use among youth in the United States: a cross-lagged model.
Cheng Hui G HG Lizhnyak Pavel N PN Richter Nadja N
BMC public health 20230824 1
<h4>Background</h4>Electronic cigarettes (e-cigarettes) have become the most common tobacco product used among adolescents in the United States (US). Prior research has shown that peer e-cigarette use was associated with increased risk of own e-cigarette use. Nonetheless, there is little empirical evidence on the directionality of these associations-if peer use predicts own use (peer influence) or if own use predicts peer use (peer selection).<h4>Methods</h4>We estimated the association between ...[more]
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Project description:IntroductionCigarette use is declining among youth in the United States, whereas cannabis use and e-cigarette use are increasing. Cannabis use has been linked with increased uptake and persistence of cigarette smoking among adults. The goal of this study was to examine whether cannabis use is associated with the prevalence and incidence of cigarette, e-cigarette, and dual product use among U.S. youth.MethodsData included U.S. youth ages 12-17 from two waves of the Population Assessment of Tobacco and Health (PATH) Study (Wave 1 youth, n = 13 651; Wave 1 tobacco-naive youth, n = 10 081). Weighted logistic regression models were used to examine the association between Wave 1 cannabis use and (1) Wave 1 prevalence of cigarette/e-cigarette use among Wave 1 youth and (2) Wave 2 incidence of cigarette/e-cigarette use among Wave 1 tobacco-naive youth. Analyses were run unadjusted and adjusted for demographics and internalizing/externalizing problem symptoms.ResultsWave 1 cigarette and e-cigarette use were significantly more common among youth who used versus did not use cannabis. Among Wave 1 tobacco-naive youth, Wave 1 cannabis use was associated with significantly increased incidence of cigarette and e-cigarette use by Wave 2.ConclusionsYouth who use cannabis are more likely to report cigarette and e-cigarette use, and cannabis use is associated with increased risk of initiation of cigarette and e-cigarette use over 1 year. Continued success in tobacco control-specifically toward reducing smoking among adolescents-may require focusing on cannabis, e-cigarette, and cigarette use in public health education, outreach, and intervention efforts.ImplicationsThese data extend our knowledge of cigarette and e-cigarette use among youth by showing that cannabis use is associated with increased prevalence and incidence of cigarette and e-cigarette use among youth, relative to youth who do not use cannabis. The increasing popularity of cannabis use among youth and diminished perceptions of risk, coupled with the strong link between cannabis use and tobacco use, may have unintended consequences for cigarette control efforts among youth.
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Project description:PurposeTemporal patterns of daily tobacco product use among ever users from the Truth Longitudinal Cohort (TLC) between 2018 and 2019 were explored.MethodsThe sample (N = 5274) includes individuals (15-36 years), residing in the United States, who had ever used any tobacco product at Wave 7 (February - May 2018) and provided tobacco use information at Wave 9 (September - December 2019).ResultsThere was a nonsignificant 1.1 percentage point increase in daily tobacco use (on at least 25 of the past 30 days), from 14.6% (95% CI: 12.8, 16.6) to 15.7% (95% CI: 13.8, 17.7). Tobacco product use remained stable over time, as 65.3% (95% CI: 56.4, 73.3) of daily cigarette smokers, 57.0% (95% CI: 43.6, 69.4) of daily e-cigarette vapers, and 8.5% (95% CI: 2.0, 29.3) of daily dual users stayed with their primary tobacco product. There was also some evidence of switching, as 7.5% (95% CI: 3.7, 14.8) of daily cigarette smokers became daily e-cigarette vapers and 2.3% (95% CI: 0.7, 6.8) of daily e-cigarette vapers became daily cigarette smokers.DiscussionAlthough most daily tobacco users were likely to continue using their primary product, some daily users transitioned to daily use of other products - suggesting that policies and public education focused on reducing overall nicotine use are essential for addressing the nicotine epidemic among young people.
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Project description:ImportanceMillions of Americans use electronic cigarettes (e-cigarettes). A growing number of state and local governments have started to draft and implement laws regarding the sale, marketing, and use of e-cigarettes. The association of US state regulations regarding e-cigarettes with e-cigarette use remains unknown.ObjectiveTo examine the association of US state regulations regarding e-cigarettes with current e-cigarette use among adults in the United States.Design, setting, and participantsThis cross-sectional study included adults aged 18 years or older from the 2016 and 2017 Behavioral Risk Factor Surveillance System, which is a nationwide, telephone-administered survey that collects state-representative data on health-related risk behaviors, chronic health conditions, and use of preventive services. Data analysis was performed from February 1, 2019, to April 31, 2019.ExposuresUnited States state laws regulating e-cigarette use, including prohibiting e-cigarette use in indoor areas of private workplaces, restaurants, and bars; requiring retailers to purchase a license to sell e-cigarettes; prohibiting self-service displays of e-cigarettes; prohibiting sales of tobacco products, including e-cigarettes, to persons younger than 21 years; and e-cigarette taxes.Main outcomes and measuresCurrent use of e-cigarettes.ResultsAmong 894 997 participants aged 18 years or older (503 688 women [51.3%], 679 443 non-Hispanic white [62.6%], 71 730 non-Hispanic black [16.3%], 69 823 Hispanic [11.4%], and 74 001 non-Hispanic other races [9.8%]), 28 907 (weighted prevalence, 4.4%) were currently using e-cigarettes. The age-standardized weighted prevalence of current e-cigarette use varied across US states and territories, from 1.0% in Puerto Rico to 6.2% in Guam. After adjustment for demographic, socioeconomic, and lifestyle factors, including conventional cigarette use, the odds ratios of current e-cigarette use were 0.90 (95% CI, 0.83-0.98) for state laws prohibiting e-cigarette use in indoor areas of private workplaces, restaurants, and bars; 0.90 (95% CI, 0.85-0.95) for state laws requiring retailers to purchase a license to sell e-cigarettes; 1.04 (95% CI, 0.99-1.09) for state laws prohibiting self-service displays of e-cigarettes; 0.86 (95% CI, 0.74-0.99) for state laws prohibiting sales of tobacco products, including e-cigarettes, to persons younger than 21 years; and 0.89 (95% CI, 0.83-0.96) for state laws applying taxes to e-cigarettes.Conclusions and relevanceThese findings suggest that several state regulations regarding e-cigarettes may be associated with reduced e-cigarette use among US adults.
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Project description:Background: In the United States (US), electronic cigarette (e-cigarette) use prevalence has increased since 2010. Few studies, however, have addressed frequency of use at the population-level. This study examines patterns and correlates of e-cigarette use frequency in a novel national sample. Methods: Data were from 36,277?US adults interviewed between 2012 and 2013 for the National Epidemiologic Survey on Alcohol and Related Conditions-III (NESARC-III). Sociodemographic characteristics, other tobacco/drug use, and psychiatric disorders were compared by e-cigarette use status (i.e. current [past-month], past, never) and e-cigarette use frequency (i.e. infrequent [?3?days/month], moderate [1-6?days/week], daily). Multinomial logistic regression models compared correlates of e-cigarette use status and e-cigarette use frequency. Results: Current e-cigarette use was low in adults (1.4%) and past e-cigarette use was 3.9%. Among current e-cigarette users, 38.1% were infrequent users, 32.9% were moderate users, and 29.0% were daily users. Compared to infrequent e-cigarette users, daily users were more likely to be male and older, but less likely to be current cigarette smokers and alcohol drinkers (p's?<?.05). Compared to daily e-cigarette users, moderate users were more likely be female, current cigarette smokers, and fall into the 25-34 age group (p's?<?.05). Moderate and daily e-cigarette users had higher prevalence of current extra-medical opioid use than infrequent users (p's?<?.05). Conclusions/Importance: E-cigarette users were most often infrequent users versus moderate or daily users. Compared to infrequent and moderate users, daily e-cigarette users were less likely to be current alcohol drinkers or cigarette smokers. Novel findings highlight a correlation between more frequent e-cigarette and opioid use.
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