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The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Tobacco Retail Licensing and Youth Product Use

Astor, Roee L., Urman, Robert, Barrington-Trimis, Jessica L., Berhane, Kiros, Steinberg, Jane, Cousineau, Michael, Leventhal, Adam M., Unger, Jennifer B., Cruz, Tess, Pentz, Mary Ann, Samet, Jonathan M., McConnell, Rob·2019·Pediatrics
DOI 10.1542/peds.2017-3536
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Abstract

BACKGROUND: Restricting youth access to tobacco is a central feature of US tobacco regulatory policy, but impact of local tobacco retail licensing (TRL) regulation on cigarette smoking rates remains uncertain. Effects of TRL on other tobacco product use and use as adolescents reach the age to legally purchase tobacco products has not been investigated. METHODS: Prevalences of ever and past 30-day cigarette, electronic cigarette (e-cigarette), cigar, and hookah use were assessed in a survey of a cohort of 1553 11th- and 12th-grade adolescents (mean age: 17.3 years); rates of initiation were evaluated 1.5 years later. An American Lung Association (2014) youth access grade was assigned to each of 14 political jurisdictions in which participants lived on the basis of the strength of the local TRL ordinance. RESULTS: At baseline, participants living in 4 jurisdictions with “A” grades (ie, with most restrictive ordinances) had lower odds of ever cigarette use (odds ratio [OR] 0.61; 95% confidence interval [CI] 0.41–0.90) and of past 30-day use (OR 0.51; 95% CI 0.29–0.89) than participants in 10 D- to F-grade jurisdictions. At follow-up at legal age of purchase, lower odds of cigarette use initiation (OR 0.67; 95% CI 0.45–0.99) occurred in jurisdictions with stronger TRL policy. Lower odds of e-cigarette initiation at follow-up (OR 0.74; 95% CI 0.55–0.99) and of initiation with past 30-day use (OR 0.45; 95% CI 0.23–0.90) were also associated with better regulation. CONCLUSIONS: Strong local TRL ordinance may lower rates of cigarette and e-cigarette use among youth and young adults.

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Citations

Cites

Research works printed but not linked: 21

  1. Centers for Disease Control (CDC), 1990, State laws restricting minors’ access to tobacco., MMWR Morb Mortal Wkly Rep, 39, 349
  2. 1994, Preventing tobacco use among young people. A report of the surgeon general. Executive summary., MMWR Recomm Rep, 43, 1
  3. United States Department of Health and Human Services, 1993, Substance abuse prevention and treatment block grants: sale or distribution of tobacco products to individuals under 18 years of age., Fed Regist, 58, 45156
  4. Forster, 2007, Policy interventions and surveillance as strategies to prevent tobacco use in adolescents and young adults., Am J Prev Med, 33, S335, 10.1016/j.amepre.2007.09.014 · DOI
  5. DiFranza, 2012, Which interventions against the sale of tobacco to minors can be expected to reduce smoking?, Tob Control, 21, 436, 10.1136/tobaccocontrol-2011-050145 · DOI
  6. Singh, 2016, Tobacco use among middle and high school students–United States, 2011-2015., MMWR Morb Mortal Wkly Rep, 65, 361, 10.15585/mmwr.mm6514a1 · DOI · Paper page
  7. Alberg, 2014, The 2014 surgeon general’s report: commemorating the 50th anniversary of the 1964 report of the advisory committee to the US surgeon general and updating the evidence on the health consequences of cigarette smoking., Am J Epidemiol, 179, 403, 10.1093/aje/kwt335 · DOI
  8. Barrington-Trimis, 2015, Psychosocial factors associated with adolescent electronic cigarette and cigarette use., Pediatrics, 136, 308, 10.1542/peds.2015-0639 · DOI
  9. Etter, 2006, Laws prohibiting the sale of tobacco to minors: impact and adverse consequences., Am J Prev Med, 31, 47, 10.1016/j.amepre.2006.03.014 · DOI
  10. Forster, 1998, The effects of community policies to reduce youth access to tobacco., Am J Public Health, 88, 1193, 10.2105/AJPH.88.8.1193 · DOI · Paper page
  11. Jason, 1991, Active enforcement of cigarette control laws in the prevention of cigarette sales to minors., JAMA, 266, 3159, 10.1001/jama.1991.03470220075030 · DOI
  12. Cummings, 2003, Is the prevalence of youth smoking affected by efforts to increase retailer compliance with a minors’ access law?, Nicotine Tob Res, 5, 465, 10.1080/1462220031000118595 · DOI
  13. Chen, 2006, The long-term effect of local policies to restrict retail sale of tobacco to youth., Nicotine Tob Res, 8, 371, 10.1080/14622200600670249 · DOI
  14. Rigotti, 1997, The effect of enforcing tobacco-sales laws on adolescents’ access to tobacco and smoking behavior., N Engl J Med, 337, 1044, 10.1056/NEJM199710093371505 · DOI
  15. Bagott, 1998, How easy is it for young people to obtain cigarettes, and do test sales by trading standards have any effect? A survey of two schools in Gateshead., Child Care Health Dev, 24, 207, 10.1046/j.1365-2214.1998.00066.x · DOI
  16. Siegel, 1999, The effect of local tobacco sales laws on adolescent smoking initiation., Prev Med, 29, 334, 10.1006/pmed.1999.0551 · DOI
  17. Cawkwell, 2015, Tracking hookah bars in New York: utilizing yelp as a powerful public health tool., JMIR Public Health Surveill, 1, e19, 10.2196/publichealth.4809 · DOI
  18. Lee, 2015, ‘Vape shops’ and ‘e-cigarette lounges’ open across the USA to promote ENDS., Tob Control, 24, 410, 10.1136/tobaccocontrol-2013-051437 · DOI
  19. Food and Drug Administration, HHS, 2016, Deeming tobacco products to be subject to the federal food, drug, and cosmetic act, as amended by the family smoking prevention and tobacco control act; restrictions on the sale and distribution of tobacco products and required warning statements for tobacco products. Final rule., Fed Regist, 81, 28973
  20. Lempert, 2016, The importance of product definitions in US e-cigarette laws and regulations., Tob Control, 25, e44, 10.1136/tobaccocontrol-2014-051913 · DOI
  21. Mackey, 2015, Exploring the e-cigarette e-commerce marketplace: identifying Internet e-cigarette marketing characteristics and regulatory gaps., Drug Alcohol Depend, 156, 97, 10.1016/j.drugalcdep.2015.08.032 · DOI

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Metadata

Authors
Astor, R. L., Urman, R., Barrington-Trimis, J. L., Berhane, K., Steinberg, J., Cousineau, M., Leventhal, A. M., Unger, J. B., Cruz, T., Pentz, M. A., Samet, J. M., & McConnell, R.
Affiliations
  • Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California; and
  • Colorado School of Public Health, University of Colorado Anschutz Medical Center, Aurora, Colorado
Venue
Pediatrics
Publisher
American Academy of Pediatrics (AAP)
Published
2019-02-01
Volume
143
Issue
2
ISSN
  • 0031-4005
  • 1098-4275
DOI
10.1542/peds.2017-3536
Cited by
57
References
2
Language
en

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