{"doi":"10.1093/ntr/ntac261","title":"Disparities in Cigarette, E-cigarette, Cigar, and Smokeless Tobacco Use at the Intersection of Multiple Social Identities in the US Adult Population. Results From the Tobacco Use Supplement to the Current Population Survey 2018–2019 Survey","abstract":"INTRODUCTION: Sociodemographic disparities in tobacco use are prevalent and persistent in the United States. Nevertheless, few studies have examined disparities in tobacco use from an intersectionality perspective. We developed a visualization tool to identify disparities in cigarette, e-cigarette, cigar, and smokeless tobacco use at the intersection of multiple social identities. AIMS AND METHODS: We used the 2018-2019 Tobacco Use Supplement to the Current Population Survey (TUS-CPS) to estimate the prevalence of tobacco product use at the intersection of age (18-34, 35-54, ≥55 years), sex (male, female), race/ethnicity (Non-Hispanic [NH] White, NH Black, Hispanic, NH Other), and annual household income (<$50 000, $50 000-$99 999, and ≥$100 000). Estimates accounted for the complex survey design. RESULTS: For cigarettes, the most defining characteristic was income, with the highest prevalence among low-income NH White male adults aged 35-54 years (30.7%) and low-income NH White female adults aged 35-54 years (29.7%). For e-cigarettes, the most defining characteristic was age, with adults 18-34 years old having the highest prevalence. High prevalence groups for cigars included young- and middle-aged NH Black and NH White males, while NH White males had the highest prevalence of smokeless tobacco use. CONCLUSIONS: Our intersectionality visualization tool is helpful to uncover complex patterns of tobacco use, facilitating the identification of high-risk groups. IMPLICATIONS: We created a visualization tool to identify disparities in cigarette, e-cigarette, cigar, and smokeless tobacco use at the intersection of age, sex, race/ethnicity, and income. Our visualization tool helps uncover complex patterns of tobacco use, facilitating the identification of high-risk population groups that would otherwise be masked. These results can be used to implement tobacco control policies targeted at factors that promote or sustain tobacco use disparities.","journal":"Nicotine & Tobacco Research","year":2022,"id":254881,"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":21,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9499,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":218026,"name":"Rafael Meza","orcid":"0000-0002-1076-5037","position":1,"is_corresponding":false},{"id":675613,"name":"Jana L. Hirschtick","orcid":"0000-0001-6532-1372","position":2,"is_corresponding":false},{"id":381160,"name":"Nancy L. Fleischer","orcid":"0000-0002-4371-9133","position":3,"is_corresponding":false},{"id":436466,"name":"Luis Zavala‐Arciniega","orcid":"0000-0001-6982-388X","position":0,"is_corresponding":true}],"reference_count":38,"raw_metadata":null,"created_at":"2026-07-19T00:25:08.518416Z","pmid":"36383443","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":[]}