{"doi":"10.1093/sleep/zsab249","title":"Concordance of multiple methods to define resiliency and vulnerability to sleep loss depends on Psychomotor Vigilance Test metric","abstract":"STUDY OBJECTIVES: Sleep restriction (SR) and total sleep deprivation (TSD) reveal well-established individual differences in Psychomotor Vigilance Test (PVT) performance. While prior studies have used different methods to categorize such resiliency/vulnerability, none have systematically investigated whether these methods categorize individuals similarly. METHODS: Forty-one adults participated in a 13-day laboratory study consisting of two baseline, five SR, four recovery, and one 36 h TSD night. The PVT was administered every 2 h during wakefulness. Three approaches (Raw Score [average SR performance], Change from Baseline [average SR minus average baseline performance], and Variance [intraindividual variance of SR performance]), and within each approach, six thresholds (±1 standard deviation and the best/worst performing 12.5%, 20%, 25%, 33%, and 50%) classified Resilient/Vulnerable groups. Kendall's tau-b correlations examined the concordance of group categorizations of approaches within and between PVT lapses and 1/reaction time (RT). Bias-corrected and accelerated bootstrapped t-tests compared group performance. RESULTS: Correlations comparing the approaches ranged from moderate to perfect for lapses and zero to moderate for 1/RT. Defined by all approaches, the Resilient groups had significantly fewer lapses on nearly all study days. Defined by the Raw Score approach only, the Resilient groups had significantly faster 1/RT on all study days. Between-measures comparisons revealed significant correlations between the Raw Score approach for 1/RT and all approaches for lapses. CONCLUSION: The three approaches defining vigilant attention resiliency/vulnerability to sleep loss resulted in groups comprised of similar individuals for PVT lapses but not for 1/RT. Thus, both method and metric selection for defining vigilant attention resiliency/vulnerability to sleep loss is critical.","journal":"SLEEP","year":2021,"id":190338,"datarank":0.511336556702594,"base_score":2.772588722239781,"endowment":2.772588722239781,"self_citation_contribution":0.41588830833596724,"citation_network_contribution":0.09544824836662677,"self_endowment_contribution":0.41588830833596724,"citer_contribution":0.09544824836662677,"corpus_percentile":null,"corpus_rank":null,"citation_count":15,"citer_count":6,"citers_with_citation_signal":3,"citers_with_endowment":3,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.8864,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2021-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":716921,"name":"Courtney Casale","orcid":"0000-0002-6727-5717","position":1,"is_corresponding":false},{"id":733117,"name":"Tess Brieva","orcid":null,"position":2,"is_corresponding":false},{"id":322782,"name":"Caroline Antler","orcid":"0000-0001-5063-4659","position":3,"is_corresponding":false},{"id":285074,"name":"Namni Goel","orcid":"0000-0003-2602-1996","position":4,"is_corresponding":false},{"id":322781,"name":"Erika Yamazaki","orcid":"0000-0001-5352-9379","position":0,"is_corresponding":true}],"reference_count":73,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-18T23:49:26.966524Z","pmid":"34624897","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":[]}