{"doi":"10.1037/adb0001054","title":"Profiles of transdermal alcohol concentration and their prediction of negative and positive alcohol-related consequences in young adults’ natural settings.","abstract":"OBJECTIVE: Transdermal alcohol concentration (TAC) sensors provide a multidimensional characterization of drinking events that self-reports cannot. These profiles may differ in their associated day-level alcohol-related consequences, but no research has tested this. We address this using multilevel latent profile analysis. METHOD: = 22.3, 64% female, 79% non-Hispanic White) responded to surveys and wore TAC sensors for 6 consecutive days. We tested whether four previously identified TAC profiles: (1) high-fast (8.5% of days), (2) moderate-fast (12.8%), (3) low-slow (20.4%), and (4) little-to-no-drinking days (58.2%) differed in numbers of negative and positive consequences and in the odds that both consequence types occurred on the same day. RESULTS: < .001. CONCLUSIONS: positive consequences were highest among low-slow days and decreased on moderate-fast and high-fast days as the odds of negative consequences rose. These findings provide novel evidence reinforcing harm reduction approaches that seek to maximize positives and minimize negatives of alcohol consumption through emphasis on slow-paced, low-volume drinking. (PsycInfo Database Record (c) 2025 APA, all rights reserved).","journal":"Psychology of Addictive Behaviors","year":2025,"id":531800,"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":3,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.843,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":584133,"name":"Kimberly A. Mallett","orcid":"0000-0002-3787-4460","position":1,"is_corresponding":false},{"id":584134,"name":"Rob Turrisi","orcid":"0000-0002-7178-7205","position":2,"is_corresponding":false},{"id":499839,"name":"Shannon D. Glenn","orcid":"0000-0002-0730-810X","position":3,"is_corresponding":false},{"id":304796,"name":"Michael A. Russell","orcid":"0000-0002-3956-604X","position":4,"is_corresponding":false},{"id":948965,"name":"Veronica L. Richards","orcid":"0000-0002-1391-0607","position":0,"is_corresponding":true}],"reference_count":2,"raw_metadata":null,"created_at":"2026-07-19T02:51:18.928280Z","pmid":"39804354","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":[]}