{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T18:54:50Z","timestamp":1783536890524,"version":"3.55.0"},"reference-count":40,"publisher":"Public Library of Science (PLoS)","issue":"7","license":[{"start":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T00:00:00Z","timestamp":1783468800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"The 90th Anniversary of Chulalongkorn University Fund","award":["GCUGR1125681011M"],"award-info":[{"award-number":["GCUGR1125681011M"]}]}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS One"],"abstract":"<jats:p>Vestibular disorders significantly impair postural stability and elevate fall risk, necessitating the use of validated assessment tools. While the Mini-Balance Evaluation Systems Test (Mini-BESTest) is a comprehensive measure of balance, diagnostic cut-off scores tailored to the vestibular population remain poorly defined. This study aimed to evaluate the diagnostic accuracy of the Mini-BESTest in identifying fall risk among individuals with vestibular disorders. Forty-two participants underwent assessment using the Mini-BESTest, 4-Meter Walk Test (4MWT), and Timed Up and Go (TUG) test. Fall risk was classified using a dual-criteria approach: (1) fall history and severity (e.g., injury, frequency, and frailty) and (2) physical performance benchmarks on the 4MWT and TUG. Participants were subsequently categorized into low or intermediate-to-high fall risk groups. Accuracy was determined via receiver operating characteristic (ROC) curve analysis. The results yielded an Area Under the Curve (AUC) of 0.69, indicating poor-to-modest discriminatory ability. At the optimal cut-off score of \u2264 23, the scale demonstrated high sensitivity (92.3%) and low specificity (44.8%), resulting in a positive likelihood ratio (LR+) of 1.67 and a negative likelihood ratio (LR-) of 0.17. Exploratory subscore analysis revealed that only the reactive postural control domain provided significant discriminatory trends under bootstrap analysis (95% CI: 0.516\u20130.823). These results suggest that while the comprehensive total score of Mini-BESTest remains the necessary standard for primary risk stratification due to the scale\u2019s validated unidimensional design, reactive postural control performance represents a key underlying physiological driver of instability in this population. Recognizing this specific domain impairment can better assist clinicians in tailoring targeted, individualized therapeutic interventions during vestibular rehabilitation.<\/jats:p>","DOI":"10.1371\/journal.pone.0353230","type":"journal-article","created":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T17:37:36Z","timestamp":1783532256000},"page":"e0353230","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["Diagnostic accuracy of the Mini-Balance Evaluation Systems Test (Mini-BESTest) in screening for fall risk among individuals with vestibular 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