2021
DOI: 10.3390/ijerph18136795
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The Association between E-Cigarette Price and TV Advertising and the Sales of Smokeless Tobacco Products in the USA

Abstract: This study aims to examine how e-cigarette prices and advertising, key determinants of e-cigarette demand, are associated with the demand for smokeless tobacco (SLT) products in the US. Market-level sales and price data by year (2010–2017), quarter, and type of retail store were compiled from Nielsen retail store scanner database. E-cigarette TV advertising ratings data were compiled from Kantar Media. Four-way (market, year, quarter, store type) fixed-effect models were used to estimate the associations betwe… Show more

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Cited by 10 publications
(5 citation statements)
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“…This study used one measure to assess e-cigarette dependence, i.e., using e-cigarettes within 30 min after waking. Other covariates included in analyses were biological sex (male and female), race/ethnicity (non-Hispanic white, non-Hispanic Black, Hispanic, and other), parental education attainment for youth, and educational attainment for adults (less than high school, high school graduate, some college or associate degree, and bachelor’s degree or above), current cigarette smoking status (Yes/No), and current use of other tobacco products (Yes/No) based on findings from previous studies [ 38 , 39 , 40 ].…”
Section: Methodsmentioning
confidence: 99%
“…This study used one measure to assess e-cigarette dependence, i.e., using e-cigarettes within 30 min after waking. Other covariates included in analyses were biological sex (male and female), race/ethnicity (non-Hispanic white, non-Hispanic Black, Hispanic, and other), parental education attainment for youth, and educational attainment for adults (less than high school, high school graduate, some college or associate degree, and bachelor’s degree or above), current cigarette smoking status (Yes/No), and current use of other tobacco products (Yes/No) based on findings from previous studies [ 38 , 39 , 40 ].…”
Section: Methodsmentioning
confidence: 99%
“…Other covariates included in this study were biological sex (boy and girl), age in years, race and ethnicity (categorized as Hispanic, non-Hispanic Black, non-Hispanic White, and other), highest parental education (less than high school, high school graduate, some college or associate degree, and bachelor’s degree and above), severity of internalizing and externalizing mental health problems (low, moderate, and high), perception of harm from e-cigarette use (no harm, little harm, some harm, and a lot of harm), current (past 30-day) cigarette smoking status, 34 , 35 and current (past 30-day) use of other tobacco products (cigar, pipe, hookah, bidi, kretek, and smokeless tobacco, including snus and dissolvable products). 36 , 37 Race and ethnicity, which were self-reported by study participants, were included as a covariate since previous studies have indicated that race and ethnicity are significantly associated with adolescents’ e-cigarette use behaviors. 4 , 5 The other racial and ethnic groups included Asian Indian, Chinese, Filipino, Guamanian or Chamorro, Japanese, Korean, non-Hispanic American Indian or Alaska Native, Native Hawaiian, other Asian, other Pacific Islander, Samoan, and Vietnamese.…”
Section: Methodsmentioning
confidence: 99%
“…e-Cigarette Advertising, Parental Influence, and Peer Influence in US Adolescent e-Cigarette Use snus and dissolvable products). 36,37 Race and ethnicity, which were self-reported by study participants, were included as a covariate since previous studies have indicated that race and ethnicity are significantly associated with adolescents' e-cigarette use behaviors. 4,5 The other racial and ethnic groups included Asian Indian, Chinese, Filipino, Guamanian or Chamorro, Japanese, Korean, non-Hispanic American Indian or Alaska Native, Native Hawaiian, other Asian, other Pacific Islander, Samoan, and Vietnamese.…”
Section: Jama Network Open | Public Healthmentioning
confidence: 99%
“…A previous study estimated changes in the number and type of likely tobacco retailers using the National Establishment Time Series (NETS) data ( Golden et al, 2022 ) , however, (1) it is not known definitively whether these retailers currently sell tobacco and (2) sales data is not available from NETS. Other studies have used the Nielsen retail store scanner data ( Marynak et al, 2017 , Wang et al, 2021 ), however these sources mainly collect data from food, drug, mass merchandise, convenience, and liquor stores, and are therefore useful for estimating trends in sales of particular tobacco products, but not in tracking changes in tobacco sales across a broader set of retail store types.…”
Section: Introductionmentioning
confidence: 99%