{"doi":"10.1111/acer.15085","title":"Do personality characteristics predict future alcohol problems after considering current demography, substance use, and alcohol response?","abstract":"BACKGROUND: Several personality traits predict future alcohol problems but also relate to demographic and substance-related variables that themselves correlate with later adverse alcohol outcomes. Few prospective studies have evaluated whether personality measures predict alcohol problems after considering current demographic and substance-related variables. METHODS: Data from 414 drinkers without alcohol use disorder (AUD) from the Collaborative Study on the Genetics of Alcoholism (average age 20, 44% male) were followed over an average of 9 years. Time 1 (baseline) demography, AUD family history (FH), substance use and problems, and psychiatric histories were gathered using a standardized interview; the Level of Response (LR) to alcohol was measured by the Self-Report of the Effects of alcohol (SRE) questionnaire; and seven personality dimensions were extracted from the NEO Five-Factor Personality, Barratt, and Zuckerman scales. Analyses involved product-moment correlations of each baseline measure with the highest number of DSM-IV AUD criteria endorsed in any follow-up period, and hierarchical regression analyses evaluated whether the personality domains added significantly to the prediction of the outcome after adjusting for other baseline variables. RESULTS: Significant correlations with the outcome were observed for baseline age, sex, length of follow-up, AUD family history, past cannabis use, and all alcohol-related baseline variables, including SRE-based LR, but not prior mood or anxiety disorders. All personality characteristics except extraversion also correlated with outcomes. A hierarchical regression analysis that included all relevant personality scores together demonstrated significant contributions to the prediction of future alcohol problems for demographics in Step 1; demographics and most baseline alcohol items, including response level, in Step 2; and cannabis use in Step 3; after which demographics, LR, baseline alcohol problems, cannabis use, and higher sensation seeking added significantly in Step 4. Regression for each personality domain separately revealed significant contributions to Step 4 for all personality domains except openness. Lower levels of response to alcohol added significantly to all regression analyses. CONCLUSIONS: Most tested personality scores and lower levels of response to alcohol contributed to predictions of later alcohol problems even after considering baseline demographic and substance use measures.","journal":"Alcohol Clinical and Experimental Research","year":2023,"id":353771,"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":0.5406,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":737962,"name":"Tom L. Smith","orcid":null,"position":1,"is_corresponding":false},{"id":1100926,"name":"George P. Danko","orcid":null,"position":2,"is_corresponding":false},{"id":230701,"name":"Kathleen K. Bucholz","orcid":"0000-0003-3794-0736","position":3,"is_corresponding":false},{"id":230723,"name":"Victor Hesselbrock","orcid":"0000-0002-0495-8641","position":4,"is_corresponding":false},{"id":433409,"name":"Michie N. Hesselbrock","orcid":null,"position":5,"is_corresponding":false},{"id":320084,"name":"Samuel Kuperman","orcid":"0000-0002-5995-1981","position":6,"is_corresponding":false},{"id":341493,"name":"John R. Kramer","orcid":"0000-0002-1321-7087","position":7,"is_corresponding":false},{"id":40253,"name":"John I. Nürnberger","orcid":"0000-0002-7674-1767","position":8,"is_corresponding":false},{"id":94634,"name":"Dongbing Lai","orcid":"0000-0001-7803-580X","position":9,"is_corresponding":false},{"id":320083,"name":"Grace Chan","orcid":"0000-0002-1257-6889","position":10,"is_corresponding":false},{"id":321824,"name":"Chella Kamarajan","orcid":null,"position":11,"is_corresponding":false},{"id":432716,"name":"Sally I‐Chun Kuo","orcid":"0000-0002-6192-1001","position":12,"is_corresponding":false},{"id":230703,"name":"Danielle M. Dick","orcid":"0000-0002-1636-893X","position":13,"is_corresponding":false},{"id":1100927,"name":"Jake Tear","orcid":null,"position":14,"is_corresponding":false},{"id":1100928,"name":"Lee Anne Mendoza","orcid":null,"position":15,"is_corresponding":false},{"id":230003,"name":"Howard J. Edenberg","orcid":"0000-0003-0344-9690","position":16,"is_corresponding":false},{"id":230728,"name":"Bernice Porjesz","orcid":"0000-0003-2489-0389","position":17,"is_corresponding":false},{"id":320086,"name":"Marc A. Schuckit","orcid":"0000-0002-2323-7858","position":0,"is_corresponding":true}],"reference_count":65,"raw_metadata":null,"created_at":"2026-07-19T01:13:02.680107Z","pmid":"37073476","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":[]}