{"doi":"10.18332/tpc/124782","title":"Sociodemographic differences in single, dual, and poly tobacco use among Appalachian youth","abstract":"INTRODUCTION: Patterns of youth tobacco use, including use of multiple products, have likely shifted as e-cigarettes have grown in popularity. However, there is limited understanding of dual and poly tobacco use and the associated disparities, especially among Appalachian youth. METHODS: We analyzed Youth Appalachian Tobacco Study data (n=1116) to estimate prevalence of current (past-30 day) cigarette, e-cigarette, and smokeless tobacco use by gender, race/ethnicity, age, school type, state, smartphone use, and number of household tobacco users. We created a pattern of tobacco use variable (i.e. never, former, single, dual, poly) based on all possible combinations of the included products. Using multivariable multinomial logistic regression (outcome reference: never use), we evaluated associations between sociodemographic characteristics and patterns of tobacco use. RESULTS: Former (16.2%) was the most common tobacco use group, followed by single (10.8%), dual (4.5%), and poly (2.4%) use. Dual and poly use were more prevalent among males, Whites/Caucasians, older participants, and participants living in households with tobacco users. Kentucky residents (vs New York) had higher odds of dual use (OR=5.15; 95% CI: 1.72-15.44), and youth who used smartphones for ≥20hours/week (vs <20 hours/week) had greater odds of poly use (OR=3.02; 95% CI: 1.34-6.80). CONCLUSIONS: Differences in single, dual, and poly tobacco use were evidenced by sociodemographic characteristics. Additional inquiry should further examine these disparities so that tobacco prevention interventions can be appropriately tailored.","journal":"Tobacco Prevention & Cessation","year":2020,"id":85235,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":7,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9138,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":415902,"name":"Joy L. Hart","orcid":"0000-0003-3220-2638","position":1,"is_corresponding":false},{"id":436133,"name":"Lindsey A. Wood","orcid":"0000-0001-6581-074X","position":2,"is_corresponding":false},{"id":415901,"name":"Kandi L. Walker","orcid":"0000-0003-1719-588X","position":3,"is_corresponding":false},{"id":415899,"name":"Delvon T. Mattingly","orcid":"0000-0002-2039-7311","position":0,"is_corresponding":true}],"reference_count":22,"raw_metadata":null,"created_at":"2026-07-18T21:56:02.794896Z","pmid":"33083678","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}