Relationship between Comorbid Drug Use Disorders, Affective Disorders, and Current Smoking
In: Substance use & misuse: an international interdisciplinary forum, Band 56, Heft 1, S. 93-100
ISSN: 1532-2491
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In: Substance use & misuse: an international interdisciplinary forum, Band 56, Heft 1, S. 93-100
ISSN: 1532-2491
In: Substance use & misuse: an international interdisciplinary forum, Band 54, Heft 12, S. 2075-2081
ISSN: 1532-2491
In: Evaluation review: a journal of applied social research, Band 35, Heft 6, S. 571-591
ISSN: 1552-3926
Sustained mass media campaigns have been recommended to stem the tobacco epidemic in the United States. Propensity score matching (PSM) was used to estimate the effect of awareness of a national smoking cessation media campaign (EX®) on quit attempts and cessation-related cognition. Participants were 4,067 smokers and recent quitters aged 18–49 in targeted U.S. media markets. Controlling for potential confounders through PSM and regression analysis, confirmed awareness of EX was not significantly associated with either outcome at 6-month follow-up. Matched analyses excluding 217 quitters resulted in a significant effect of EX on both outcomes.
In: Substance use & misuse: an international interdisciplinary forum, Band 58, Heft 3, S. 454-464
ISSN: 1532-2491
In: Substance use & misuse: an international interdisciplinary forum, Band 52, Heft 2, S. 203-213
ISSN: 1532-2491
In: Emerging adulthood, Band 7, Heft 4, S. 258-269
ISSN: 2167-6984
This study describes cigarette smoking trajectories, the influence of social smoker self-identification (SSID), and correlates of these trajectories in two cohorts of U.S. young adults: a sample from the Chicago metropolitan area (Social Emotional Contexts of Adolescent and Young Adult Smoking Patterns [SECAP], n = 893) and a national sample (Truth Initiative Young Adult Cohort Study [YA Cohort], n = 1,491). Using latent class growth analyses and growth mixture models, five smoking trajectories were identified in each sample: in SECAP: nonsmoking ( n = 658, 73.7%), declining smoking ( n = 20, 2.2%), moderate/stable smoking ( n = 114, 12.8%), high/stable smoking ( n = 79, 8.9%), and escalating smoking ( n = 22, 2.5%); and in YA Cohort: nonsmoking ( n = 1,215, 81.5%), slowly declining smoking ( n = 52, 3.5%), rapidly declining smoking ( n = 50, 3.4%), stable smoking ( n = 139, 9%), and escalating smoking ( n = 35, 2.4%). SSID was most prevalent in moderate/stable smoking (35.5% SECAP), rapidly declining smoking (25.2% YA Cohort), and nonsmoking. Understanding nuances of how smoking identity is formed and used to limit or facilitate smoking behavior in young adults will allow for more effective interventions to reduce tobacco use.