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1.
Drug Alcohol Depend ; 223: 108712, 2021 06 01.
Article in English | MEDLINE | ID: mdl-33882430

ABSTRACT

INTRODUCTION: Using the tenets underlying social identity theory and the theory of planned behavior, the current study compared the perceptions, attitudes, and behaviors of e-cigarette users that reported vaping as self-defining ("vapers") compared to users that denied vaping was central to their identity ("non-vapers"). METHOD: Secondary analyses of data from the 2017-2018 California Student Tobacco Survey were utilized. A weighted, multivariable regression model (N = 82,217) compared the demographic characteristics, beliefs, and behaviors of vapers and non-vapers. A path analytic model examined whether norms and attitudes mediated the relationship between vaper identity and use behavior. RESULTS: Self-identified sexual and/or gender minority youth were more likely to identify as vapers compared to heterosexual and cisgender respondents. Youth that identified as vapers viewed e-cigarette use as more normative, held more favorable attitudes (i.e., lower harm beliefs), used e-cigarettes more frequently and in greater quantities, were more likely to use fruit and mint flavored e-cigarettes, and were more likely to acquire e-cigarettes from commercial sellers (i.e., vape/tobacco shops; all p < 0.05). Additionally, descriptive norms and attitudes mediated the relationship between vaper identity and use frequency/quantity. CONCLUSIONS: Differences in e-cigarette beliefs and behaviors were found for youth e-cigarette users that perceived vaping as self-defining versus those that did not view vaping as part of their self-concept. Future studies are needed to examine causal directionality between identity, norms, attitudes, and behavior. Tobacco control efforts might use these findings to further denormalize vaping using evidence-based media campaigns and policy implementation.


Subject(s)
Electronic Nicotine Delivery Systems , Tobacco Products , Vaping , Adolescent , Attitude , Humans , Smokers , Surveys and Questionnaires
2.
Cancer Causes Control ; 15(8): 797-803, 2004 Oct.
Article in English | MEDLINE | ID: mdl-15456993

ABSTRACT

INTRODUCTION: Population-based health surveys seldom assess sexual orientation, which results in the absence of a reliable measure of smoking among lesbians, gays, and bisexuals (LGB), a population perceived to have higher risks of tobacco-related diseases. This is the first study to compare the cigarette smoking rate of LGB with that of heterosexual individuals using a population-based sample with both male and female adults, and to identify which sub segments of LGB population are particularly burdened by tobacco use. METHODS: California Health Interview Survey (CHIS), a population-based telephone survey was used to assess smoking prevalence and its correlates among respondents. Of 44,606 respondents, 343 self-identified as lesbian; 593 self-identified as gay; and 793 identified themselves as bisexual (511 female and 282 male). Statistical analysis was performed using SAS and SUDAAN. RESULTS: Lesbians' smoking rate (25.3%), was about 70% higher than that of heterosexual women (14.9%) Gay men had a smoking prevalence of 33.2%, comparing to heterosexual men (21.3%). After controlling for demographic variables, logistic regression analysis showed that lesbians and bisexual women were significantly more likely to smoke compared with heterosexual women (OR = 1.95 and OR = 2.08, respectively). Gay men were also significantly more likely to smoke than heterosexual men (OR = 2.13; 95% CI = 1.66-2.73). Being 35-44-years-old, non-Hispanic White, and having low-education attainment and low-household income were common demographic predictors of cigarette smoking among LGB. CONCLUSION: Our study provides the strongest evidence to date that lesbians, bisexual females, and gay men had significantly higher cigarette smoking prevalence rates than their heterosexual counterparts.


Subject(s)
Bisexuality/statistics & numerical data , Homosexuality, Female/statistics & numerical data , Homosexuality, Male/statistics & numerical data , Smoking/epidemiology , Adolescent , Adult , Age Factors , California/epidemiology , Female , Health Surveys , Humans , Income , Male , Middle Aged , Prevalence
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