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Monitoring the retail environments for vape products Lisa Henriksen, PhD Senior Research Scientist Waltham, MA, Sept 6, 2018 Acknowledgments American Cancer Society Cancer Action Network Research sponsored by California Tobacco Control


  1. Monitoring the retail environments for vape products Lisa Henriksen, PhD Senior Research Scientist Waltham, MA, Sept 6, 2018

  2. Acknowledgments � American Cancer Society Cancer Action Network � Research sponsored by California Tobacco Control Program and the National Cancer Institute (5R01-CA067850, PI: Henriksen) and (1R01-CA215155, PI: Berg, Co-I: Henriksen) � My expert team: Nina Schleicher, PhD, Trent Johnson, MPH, Lindsey Winn, MS, Amna Ali, MPH

  3. Overview � Importance of monitoring/regulating the retail environment � Marketing in CA licensed tobacco retailers � Marketing in MA vape shops Median household income $12,628 - $46,592 $46,593 - $64,855 $64,856 - $79,659 $79,660 - $99,792 � Implications for policy/practice

  4. Past-year prevalence of tobacco, marijuana use: CA Student Tobacco Survey, AY 2015-16 % 30 Middle School High School 25 20 15 10 5 0 E-cigarettes Hookah Cigarettes Small cigars Large cigars Any tobacco Marijuana Source: California Tobacco Control Program, CDPH

  5. Estimated 378,000 tobacco retailers in US (2012) • 32 times as many tobacco retailers as Starbucks • 79% of tobacco retailers sold e-cigarettes in 2015 • Excludes vape shops (est. 9943 in 2016) 11,817 Starbucks US locations (2013) Sources: Center for Public Health Systems Science; POS Report to the Nation, 2014; Image credit James Davenport, ifweassume.com Dai et al., Tob Control, 2016

  6. Retail environment Built Environment • Retailer density • Type • Location Consumer Environment • Product availability • Placement • Promotion • Price Source: Henriksen, Tob Control, 2016

  7. Retail environment Built Environment • Retailer density • Type • Location Consumer Environment • Product availability • Placement • Promotion • Price Source: Henriksen, Tob Control, 2016

  8. Built environment for tobacco � 44% of US teens (ages 13-16) attend school within 1000 feet of at least one tobacco retailer Low income 2.07 � 41% live within walking distance African American 2.31 (0.5 mi) of at least one tobacco Other race 1.94 retailer Hispanic 1.39 1 1.5 2 2.5 3 Adjusted ORs (Schleicher et al., Prev Medicine, 2017)

  9. Built environment and youth vaping Students more likely to report past- month vaping if they attended schools with more retailers nearby: � vape retailers in New Jersey (AOR=1.06, 95% 1.01, 1.10) � tobacco retailers in hotspots for Dallas/Tarrant/Harris counties in TX (Risk ratio not specified) Sources: Giovenco DP, et al. (2016). J Adol Health.; Perez et al., (2018). J Biostat.

  10. Consumer environment and youth vaping

  11. Consumer environment and youth vaping � Dose-response relationship between retail advertising exposure at baseline and past-month vaping among middle/high school students in Texas (Nicksic et al., Tob Reg Sci, 2018) � Among college students, exposure to vape product displays at baseline associated lower odds of cigarette abstinence at follow-up (Mantey et al., N&TR, 2018)

  12. Sales to minors • 13.1% to decoys (ages 18-19) in CA tobacco retailers (Zhang et al., Tob Control , 2018) • 6.5% to same-age decoys in CA gas/convenience stores (Henriksen et al., 2018)

  13. Parts 2 & 3: Monitoring retail environment for vape products in CA and MA

  14. CA Tobacco Retail Surveillance System • Random sample of licensed tobacco retailers • Trained professional data collectors • Qualtrics survey on iPads • Product, placement, promotion, price

  15. Price Other flavors Menthol Product 2008 2014 2011 2017 Price Other flavors Product

  16. Retail availability of vape products, by store type: CA, 2017 100% 100% 98% 100% 96% 90% 80% 73% 67% 70% 65% 60% 50% 41% 38% 40% 30% 20% 11% 10% 0% Convenience Liquor Pharmacy Small market Supermarket Tobacco shop Vape shop Head shop Other Total

  17. Vape retailers, by store type: CA, 2017 100.0% 100% 90% 80% 70% 60% 46.7% 50% 40% 30% 20% 13.1% 9.8% 8.9% 6.6% 10% 5.9% 5.1% 2.7% 1.2% 0% Convenience Liquor Pharmacy Small market Supermarket Tobacco shop Vape shop Head shop Other Total

  18. Retail availability (% stores), by product CA 2017 100% 90% 80% 70% 60% 51.4% 50% 41.3% 40% 32.4% 30% 22.9% 20% 15.3% 12.5% 9.5% 10% 4.4% 0% Disposable Reuseable Other closed Open systems E-hookah E-cigars E-liquid Zero-nicotine e-cigs e-cigs systems e-liquid 0%

  19. Availability of flavored tobacco (% stores) (unambiguous flavors) Texas TCORS slides Vape products

  20. Marijuana as ‘concept flavor’ • Flavor names • Pack imagery • Blunt as product category, brand name • Product design

  21. Presence of marijuana co-marketing in stores (n=531) near schools: CA, 2015 100% 90% 80% 70% 61.6% 60% 52.3% 50% 40% 27.1% 27.1% 30% 20% 10% 0% Blunt wraps Blunts "Marijuana flavor" Any co-marketing LCCs

  22. Product placement • front counter displays in 34% of stores; self-service in 6% Schleicher et al. (2015) California Tobacco Control Program

  23. Discounts • Pre-printed or hand-written discounts in 15.5% of stores

  24. Vape product sales, by brand: CA 2012-17 “Sales didn’t take off until 2017, after Juul had improved its sales and distribution expertise, and, by then, had a more sober online marketing campaign …” Mr. Matt David, JUUL company spokesman via NYTimes.com Source: Nielsen Company, xAOC Incl Convenience stores combined

  25. Part 3: Vape shop surveillance in MA • NCI-funded grant studying impact of regulation on retail environment for vape products in six states and metropolitan statistical areas (MSA) (PI: Carla J. Berg, Emory Univ) • Tracks a panel of vape shops in Atlanta, Boston, Minneapolis, Oklahoma City, San Diego, Seattle • Links data to a panel of young-adult residents surveyed online

  26. Technical challenge: Identifying "vape shops” • Every 6 months, Python script accessed API to retrieve store names/addresses tagged as “vape shops” by retailers or customers n=1,620 n=1,553 n=774 • Metro statistical areas (MSAs) in 6 states: Atlanta, Boston, Minneapolis, Note. Data for 6 states in Dec 2017 Oklahoma City, San Diego, Seattle

  27. “Vape shops” in Boston MSA Telephone screening • Do you sell vapes or e-liquids? • What about cigarettes or cigars, like Swisher Sweets? • Response rate=84.2% Median household income $12,628 - $46,592 $46,593 - $64,855 $64,856 - $79,659 $79,660 - $99,792 $99,793 - $215,250

  28. “Vape shops” (n=142 in 2017) Vape only (n=64) Vape and OTP (n=58) No response (n=20) Ineligible (n=26) Estimate for July, 2018 (n=171) Vape only (n=84) Vape and OTP (n=77)

  29. Massachusetts “vape shops” (n=319, July 2018) • 141 Vape only, 129 Vape+OTP • Tracts with “vape shops” have -- lower median household income -- lower % of African American residents • Similar to profile for New Jersey (Giovenco et al., NTR, 2017) Median household income $12,628 - $46,592 $46,593 - $64,855 $64,856 - $79,659 $79,660 - $99,792 $99,793 - $215,250

  30. Retail marketing surveillance in vape shops • Trained data collectors (in pairs) assessed randomly sampled vape shops (Jun-Jul 2018, n=32 in Boston MSA) • Compliance, product availability, promotion • “Mystery shopper” task obtained price data • 98% completion rate, included inter-rater reliability

  31. Part 4: Implications for policy and practice

  32. Objectives for state/local tobacco control � Make tobacco less attractive, less convenient and more costly � Reduce disparities in tobacco use (equity-by-design policies) � Fill the gaps in FDA regulation

  33. Policy implications Place-based Consumer-focused Licensing Tax Retailer reduction Non-tax price policies ( cap on quantity, (coupon redemption, proximity to schools, discounts, minimum price) nearest tobacco or mj retailer) Sales restrictions Marketing (flavors, CBD, THC) (zero-nicotine, health/cessation claims)

  34. Tools to improve monitoring (flavors, CBD)

  35. Resource to understand environmental inequity CCHAT • School boundaries • Demography at tract and county levels • Tobacco retailer locations • Vape shops (coming soon) websites.greeninfo.org/stanford/cchat/

  36. Questions � lhenriksen@stanford.edu

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