Kristy L. Marynak
Centers for Disease Control and Prevention
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Featured researches published by Kristy L. Marynak.
Pediatrics | 2016
Tushar Singh; Israel T. Agaku; René A. Arrazola; Kristy L. Marynak; Linda J. Neff; Italia T. Rolle; Brian A. King
BACKGROUND: Electronic cigarette (e-cigarette) use among US students increased significantly during 2011 to 2014. We examined the association between e-cigarette advertisement exposure and current e-cigarette use among US middle school and high school students. METHODS: Data came from the 2014 National Youth Tobacco Survey (n = 22 007), a survey of students in grades 6 through 12. The association between current e-cigarette use and exposure to e-cigarette advertisements via 4 sources (Internet, newspapers/magazines, retail stores, and TV/movies) was assessed. Three advertising exposure categories were assessed: never/rarely, sometimes, and most of the time/always. Separate logistic regression models were used to measure the association, adjusting for gender, race/ethnicity, grade, and other tobacco use. RESULTS: Compared with students who reported exposure to e-cigarette advertisements never/rarely, the odds of current e-cigarette use were significantly (P < .05) greater among those reporting exposure sometimes and most of the time/always, respectively, as follows: Internet (adjusted odds ratio: middle school, 1.44 and 2.91; high school, 1.49, and 2.02); newspapers/magazines (middle school, 0.93 [not significant] and 1.87; high school, 1.26 and 1.71); retail stores (middle school, 1.78 and 2.34; high school, 1.37, and 1.91); and TV/movies (middle school, 1.25 [not significant] and 1.80; high school, 1.24 and 1.54). CONCLUSIONS: E-cigarette advertisement exposure is associated with current e-cigarette use among students; greater exposure is associated with higher odds of use. Given that youth use of tobacco in any form is unsafe, comprehensive tobacco prevention and control strategies, including efforts to reduce youth exposure to advertising, are critical to prevent all forms of tobacco use among youth.
Morbidity and Mortality Weekly Report | 2016
Tushar Singh; Sara M. Kennedy; Kristy L. Marynak; Alexander Persoskie; Paul Melstrom; Brian A. King
Electronic cigarettes (e-cigarettes) are now the most commonly used tobacco product among U.S. youths (1,2); in 2015, 5.3% of middle school students and 16.0% of high school students reported using e-cigarettes in the past 30 days (1). However, limited information exists on the e-cigarette product types and brands used and the substances used in these products by youths. CDC and the Food and Drug Administration (FDA) analyzed data from the 2015 National Youth Tobacco Survey (NYTS) to examine the characteristics of e-cigarette use among U.S. middle (grades 6-8) and high (grades 9-12) school students in 2015, including types of products used, brands of products used, and whether substances other than nicotine were used with the products. Among respondents reporting ever having used an e-cigarette, 14.5% used only disposable e-cigarettes, 53.4% used only rechargeable/refillable e-cigarettes, and 32.1% used both types. Two of the most commonly used e-cigarette brands were blu (26.4%, 1.65 million youths) and VUSE (12.2%, 760,000 youths); half of students (50.7%, 3.18 million) did not know the brand of e-cigarette they used. One third (32.5%) of those who reported ever using an e-cigarette also reported having used e-cigarettes for substances other than nicotine. Preventing youths from beginning use of any tobacco product, including e-cigarettes, is critical to tobacco use prevention and control strategies in the United States (3). Monitoring the characteristics of e-cigarette use among youths, including product types, brands, and ingredients, is important to inform strategies to prevent and reduce e-cigarette use among youths.
American Journal of Preventive Medicine | 2015
Brian A. King; Amal Jama; Kristy L. Marynak; Gabbi Promoff
INTRODUCTION Efforts to disrupt tobacco sales to minors through age of sale restrictions can contribute to reductions in youth tobacco use. The objective of this study was to assess attitudes toward raising the minimum tobacco age of sale to 21 years among U.S. adults. METHODS Data from the 2014 Summer Styles, an Internet survey of U.S. adults aged ≥18 years (N=4,219), were analyzed in 2014. Respondents were asked: Do you favor or oppose raising the legal minimum age to purchase all tobacco products from 18 to 21? Responses included: strongly favor, somewhat favor, somewhat oppose, and strongly oppose. ORs and 95% CIs were calculated using logistic regression; covariates included sex, age, race/ethnicity, education, income, region, and cigarette smoking status. RESULTS Among all adults, 50.4% strongly and 24.6% somewhat favored raising the age to 21 years; 77.5% of never smokers, 74.6% of former smokers, and 69.9% of current smokers strongly or somewhat favored it. Adjusted odds of strongly or somewhat favoring raising the age were higher among adults aged 25-44 (OR=1.8, 95% CI=1.3, 2.5), 45-64 (OR=2.3, 95% CI=1.7, 3.2), and ≥65 (OR=3.1, 95% CI=2.2, 4.5) years, and lower among former (OR=0.7, 95% CI=0.6, 0.9) and current (OR=0.7, 95% CI=0.5, 0.8) smokers. CONCLUSIONS Three quarters of adults favor raising the minimum tobacco age of sale to 21 years, including seven in ten smokers. Raising the minimum age of sale, along with proven tobacco control strategies, could prevent youth tobacco use.
American Journal of Public Health | 2017
Kristy L. Marynak; Doris G. Gammon; Todd Rogers; Ellen M. Coats; Tushar Singh; Brian A. King
Objectives To assess the proportion of electronic cigarette (e-cigarette) products sold in the United States that contain nicotine according to retail scanner data. Methods We obtained unit sales data from January 11, 2015, to December 12, 2015, from The Nielsen Company for convenience stores; supermarkets; mass merchandisers; drug, club, and dollar stores; and Department of Defense commissaries. The data did not include purchases from tobacco specialty shops, “vape shops,” or online sources. Nicotine content was assessed by product type (disposables, rechargeables, and refills), region, and flavor status based on nicotine strength listed in the Universal Product Codes. For the 36.7% of entries lacking nicotine content information, we conducted Internet searches by brand, product, and flavor. Results In 2015, 99.0% of e-cigarette products sold contained nicotine, including 99.0% of disposables, 99.7% of rechargeables, and 98.8% of refills. Overall, 98.7% of flavored e-cigarette products and 99.4% of nonflavored e-cigarette products contained nicotine. Conclusions In 2015, almost all e-cigarette products sold in US convenience stores and other assessed channels contained nicotine. Public Health Implications Findings reinforce the importance of warning labels for nicotine-containing products, ingredient reporting, and restrictions on sales to minors.
Public Health Reports | 2016
Kristy L. Marynak; Xin Xu; Xu Wang; Carissa Baker Holmes; Michael A. Tynan; Terry F. Pechacek
The average retail price per pack of cigarettes is less than
Morbidity and Mortality Weekly Report | 2018
Kristy L. Marynak; Andrea S. Gentzke; Teresa W. Wang; Linda J. Neff; Brian A. King
6, which is substantially lower than the
Preventing Chronic Disease | 2017
Kimberly H. Nguyen; Van T. Tong; Kristy L. Marynak; Brian A. King
10 per-pack target established in 2014 by the Surgeon General to reduce the smoking rate. We estimated the impact of three cigarette pricing scenarios on smoking prevalence among teens aged 12–17 years, young adults aged 18–25 years, and adults aged ≥26 years, by state: (1)
JAMA Pediatrics | 2017
Teresa W. Wang; Kristy L. Marynak; Israel T. Agaku; Brian A. King
0.94 federal tax increase on cigarettes, as proposed in the fiscal year 2017 President’s budget; (2)
Preventing Chronic Disease | 2016
Kimberly H. Nguyen; Van T. Tong; Kristy L. Marynak; Brian A. King
10 per-pack retail price, allowing discounts; and (3)
Morbidity and Mortality Weekly Report | 2018
Kristy L. Marynak
10 per-pack retail price, eliminating discounts. We conducted Monte Carlo simulations to generate point estimates of reductions in cigarette smoking prevalence by state. We found that each price scenario would substantially reduce cigarette smoking prevalence. A