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1.
Health Equity ; 6(1): 132-141, 2022.
Article in English | MEDLINE | ID: mdl-35261940

ABSTRACT

Introduction: We conducted a cumulative environmental health risk assessment of whether specialty vape shops and poor air quality are more likely to co-occur in socially disadvantaged neighborhoods where racial/ethnic minority youth live. Methods: We examined the population-adjusted incidence of specialty vape shops in relation to youth race/ethnicity, neighborhood socioeconomic status (SES), and air quality (nitrogen dioxide [NO2]) at the census tract level across the conterminous United States for 2018. Results: We did not find disparity in vape shop incidence related to minority youth race/ethnicity. Vape shop incidence was significantly negatively associated with all the youth race/ethnicities examined. The two lowest SES quintiles had nearly double the rate of specialty vape shop incidence compared with the highest SES quintile. Specialty vape shop incidence increased with NO2 concentration, with more vape shops in poor air quality neighborhoods. Conclusions: Specialty vape shops are disproportionately present in neighborhoods with poor air quality and where socially disadvantaged youth live. The increased incidence of vape shops in poor air quality neighborhoods, particularly in an urban context with increased traffic emissions, further points to potentially disproportionate impacts on disadvantaged populations due to cumulative social and environmental risks. This raises environmental justice and health equity concerns. Retailer-focused strategies aimed at limiting youth exposure to electronic cigarettes' labeling and advertising, preventing sales to minors, and limiting the number of retailers in low-SES neighborhoods may reduce initiation and help prevent tobacco-related health disparities among youth.

2.
Prev Med ; 141: 106284, 2020 12.
Article in English | MEDLINE | ID: mdl-33068604

ABSTRACT

This study examined patterns of tobacco product use and their association with nicotine dependence among U.S. youth. Combined data from the 2017-2018 National Youth Tobacco Surveys were analyzed for students that reported current (past-30-day) use of e-cigarettes, cigarettes, cigars, smokeless tobacco, or hookah (n = 6106). Analyses assessed multiple product use (≥2 tobacco products) overall and by sex, school level, race/ethnicity, current use, and frequent use (use of a product for ≥20 of the preceding 30 days). Multivariable logistic regression was used to identify correlates of nicotine dependence. During 2017-2018, 40.8% of tobacco product users reported use of multiple products. Multiple product use ranged from 47.0% among e-cigarette users to 80.7% among cigarette smokers. Among frequent users of each respective product, 80.0% of cigarette smokers, 74.9% of cigar smokers, 73.6% of smokeless tobacco users, 70.7% of hookah smokers, and 40.3% of e-cigarette users reported use of multiple products. Most youth who reported nicotine dependence (64.0%) were multiple product users. E-cigarettes were the most common single product used (36.3%) and the product most commonly used in combination with other products; e-cigarettes plus cigarettes (6.7%) was the most common product combination. Combustible product use, smokeless tobacco use, multiple product use and frequent use were associated with greater odds of nicotine dependence. Nicotine dependence among youth is especially influenced by cigarette use, smokeless tobacco use, frequent use of any tobacco product, and multiple product use. Proven tobacco control interventions in coordination with regulatory efforts can reduce youth tobacco product use.


Subject(s)
Electronic Nicotine Delivery Systems , Tobacco Products , Tobacco Use Disorder , Tobacco, Smokeless , Adolescent , Humans , Nicotiana , Tobacco Use/epidemiology , Tobacco Use Disorder/epidemiology , United States/epidemiology
3.
Health Promot Pract ; 21(1_suppl): 9S-17S, 2020 01.
Article in English | MEDLINE | ID: mdl-31908194

ABSTRACT

We conducted an environmental justice assessment examining the distribution of specialty vape shops in relation to where minority and low-income youth live and attend school. We collated and examined the density of vape shops in public school districts in 2018 throughout the conterminous United States using geographic information systems. We calculated the proximity of vape shops to public middle and high schools through nearest neighbor analysis in QGIS software. We examined the statistical relationships between the density of vape shops in school districts, and proximity to schools, with the proportion of racial/ethnic minorities and those living in poverty. We found that vape shops are more densely distributed, and are in closer proximity to schools, in school districts with higher proportions of Asian and Black or African American populations. However, vape shops were further away from schools in school districts with higher proportions of the population in poverty. The proximity and higher density of vape shops in relationship to schools in Asian and Black or African American communities may result in disproportionate health impacts due to greater access and exposure to vape products and advertisements. Our results may help school district administrators prioritize and target efforts to curb youth vaping (e.g., health education curricula) in these school districts with high density and closer proximity of vape shops to schools. Policy efforts, such as local ordinances restricting the promotion and sale of vaping products close to schools, could help prevent disproportionate human and environmental health impacts to minorities.


Subject(s)
Electronic Nicotine Delivery Systems/economics , Minority Groups/statistics & numerical data , Schools/statistics & numerical data , Vaping/economics , Adolescent , Commerce , Ethnicity/statistics & numerical data , Geographic Information Systems , Humans , Policy , Poverty/statistics & numerical data , Racial Groups/statistics & numerical data , Socioeconomic Factors , United States
4.
Prev Med ; 114: 107-114, 2018 09.
Article in English | MEDLINE | ID: mdl-29958861

ABSTRACT

Little is known about nicotine and addiction beliefs held by those who are foreign-born in the US and how these beliefs are associated with acculturation and race/ethnicity. This study attempts to address these research gaps. Data were analyzed from two cycles of the Health Information National Trends Survey, HINTS-FDA 2015 (n = 3738) and HINTS-FDA 2017 (n = 1736). HINTS-FDA is a tobacco-focused, cross-sectional, nationally representative survey of US non-institutionalized civilian adults aged 18 years or older. We first assessed associations between foreign-born status and beliefs about nicotine and addiction using weighted chi-square analyses. Then, using only the foreign-born sample, we examined the associations of nicotine and addiction beliefs with race/ethnicity and acculturation (i.e., English proficiency and U.S. tenure) using weighted multiple linear regression. Results showed that, compared to US-born respondents, foreign-born respondents were more likely to be concerned with being addicted to nicotine and to believe that low nicotine cigarettes would have much lower lung cancer risk than a typical cigarette. Among the foreign-born, NH-Black and Hispanic respondents were more likely to see low nicotine cigarettes as harmful and addictive compared to NH-White respondents. The relationship between acculturation and nicotine beliefs was complex with lower acculturation associated with elevated misperceived risk of nicotine and also ratings of addictiveness. Further research among key subpopulations may inform communication, education and dissemination strategies, especially among vulnerable populations.


Subject(s)
Acculturation , Behavior, Addictive , Emigrants and Immigrants/statistics & numerical data , Nicotine/adverse effects , Perception , Tobacco Smoking/adverse effects , Adult , Aged , Cross-Sectional Studies , Ethnicity/statistics & numerical data , Female , Harm Reduction , Health Knowledge, Attitudes, Practice , Health Surveys , Humans , Male , Middle Aged , Racial Groups , Risk Factors , United States
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