{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T02:46:15Z","timestamp":1778813175259,"version":"3.51.4"},"reference-count":43,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[2023,8,10]],"date-time":"2023-08-10T00:00:00Z","timestamp":1691625600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"name":"Virginia Foundation for Healthy Adolescents","award":["FP00007766"],"award-info":[{"award-number":["FP00007766"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,2,22]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Introduction<\/jats:title>\n                  <jats:p>Tobacco use among adolescents is an ongoing public health concern. Youth tobacco use has been associated with advertising, from both online sources and retail environments.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Aims and Methods<\/jats:title>\n                  <jats:p>This study examined associations between exposure to tobacco advertisements from tobacco retail outlets (TROs), internet, and social media sources and ever tobacco use among adolescents. Data were obtained from youth, aged 11\u201317 years (N = 401) from Richmond, VA. Bayesian index and group index models were fitted to estimate indices of exposure to (1) social media use, (2) tobacco ads on social media, and (3) TRO store visits and their association with ever tobacco use. The most important components of the exposure indices were also determined based on the index component weights from the Bayesian index models.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>In Bayesian index models of single exposures, each exposure index was significantly associated with tobacco use. In the best-fitting model, social media tobacco ads (odds ratio [OR] = 2.2; 95% credible interval [CI]: 1.2, 4.5) and TRO store visits (OR = 1.6; 95% CI: 1.1, 2.3) were significantly associated with ever tobacco use, as was older age (OR = 1.4; 95% CI: 1.2, 1.8). Index component weights revealed Snapchat ad frequency as the most important platform in the social media index and convenience stores as the most important type of store in the TRO index.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>Exposure to pro-tobacco advertisements on social media and visits to TROs are associated with adolescent ever tobacco use. Results provide support for policies that would restrict the promotion of tobacco products at TROs and on social media. Tobacco regulations and interventions targeting convenience stores and Snapchat may be warranted to reduce youth tobacco use.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Implications<\/jats:title>\n                  <jats:p>Current evidence provide support for policies that would restrict the promotion of tobacco products at TROs and on social media. Findings suggest that regulations and interventions that specifically target advertisements in convenience stores and on Snapchat may be currently warranted to reduce youth tobacco use.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/ntr\/ntad134","type":"journal-article","created":{"date-parts":[[2023,8,10]],"date-time":"2023-08-10T09:32:47Z","timestamp":1691659967000},"page":"353-360","source":"Crossref","is-referenced-by-count":4,"title":["Advertising Exposure From Online and Offline Sources and Youth Tobacco Use: Findings From the Adolescents, Place, and Behavior Study"],"prefix":"10.1093","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3550-0107","authenticated-orcid":false,"given":"Bernard F","family":"Fuemmeler","sequence":"first","affiliation":[{"name":"Department of Family Medicine and Population Health, Virginia Commonwealth University , Richmond, VA , USA"},{"name":"Massey Cancer Center, Virginia Commonwealth University , Richmond, VA , USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David C","family":"Wheeler","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, Virginia Commonwealth University , Richmond, VA , USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carrie A","family":"Miller","sequence":"additional","affiliation":[{"name":"College of Journalism and Communication, University of Florida , Gainesville, FL , USA"},{"name":"STEM Translational Communication Center, University of Florida , Gainesville, FL , USA"},{"name":"University of Florida Health Cancer Center , Gainesville, FL , USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rashelle B","family":"Hayes","sequence":"additional","affiliation":[{"name":"Massey Cancer Center, Virginia Commonwealth University , Richmond, VA , USA"},{"name":"Department of Psychiatry, Virginia Commonwealth University , Richmond, VA , 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