{"doi":"10.17615/xpc9-ks77","title":"Physical Activity in Young Adults: A Signal Detection Analysis of Health Information National Trends Survey (HINTS) 2007 Data","abstract":"Many young adults are insufficiently active to achieve the health benefits of regular physical activity (PA). We examined distinct subgroups of young adults (18–39y) that vary in their likelihood of not meeting PA recommendations using signal detection analysis of data from the Health Information National Trends Survey 2007. The sample was randomly split and signal detection analysis was conducted on the exploratory half to identify subgroups and interactions among sociodemographic and health communication variables that predicted engaging in <150 weekly minutes of moderate-intensity PA (low PA). Rates of low PA among subgroups were compared with similarly defined subgroups in the validation sample. Overall, 62% were not meeting PA recommendations. Among eight subgroups identified, low PA rates ranged from 31%-90%. Predictors of low PA were general health, BMI, perceived cancer risk, health-related Internet use, and trust in information sources. The least active subgroup (90% low PA) included young adults in poor to good health with a BMI≥30.8 (obese). The most active subgroup (31% low PA) comprised those in very good to excellent health, who used a website to help with diet, weight or PA, and had no to little trust in health information on television. Findings suggest potential intervention communication channels and can inform targeted PA interventions for young adults.","journal":"UNC Libraries","year":2020,"id":138658,"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":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.8416,"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":594870,"name":"Marlyn Allicock","orcid":"0000-0002-2114-6768","position":1,"is_corresponding":false},{"id":600716,"name":"Carmina G. Valle","orcid":"0000-0003-1985-2409","position":2,"is_corresponding":false},{"id":336207,"name":"Jianwen Cai","orcid":"0000-0002-4945-6733","position":3,"is_corresponding":false},{"id":7924,"name":"Deborah K. Mayer","orcid":"0000-0001-7007-4978","position":4,"is_corresponding":false},{"id":369982,"name":"Deborah F. Tate","orcid":"0000-0002-4915-5308","position":5,"is_corresponding":false},{"id":545251,"name":"Marci K. Campbell","orcid":null,"position":0,"is_corresponding":true}],"reference_count":0,"raw_metadata":null,"created_at":"2026-07-18T23:17:06.651725Z","pmid":null,"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":[]}