6533b82ffe1ef96bd1295b01

RESEARCH PRODUCT

SART and Individual Trial Mistake Thresholds: Predictive Model for Mobility Decline

Rose Anne KennyRose Anne KennyEoin DugganRoman Romero-ortunoRossella RizzoLouise NewmanJames R C DavisSilvin P. Knight

subject

cognitionAgingmedicine.medical_specialtyHealth (social science)timed up-and-goLogistic regressionArticlerepeated measuresTrial numberPhysical medicine and rehabilitationCovariatefallsthresholdMedicineCognitive declineSARTsustained attention to response taskbusiness.industrymobility declineRC952-954.6Repeated measures designCognitionTest (assessment)multimodal visualizationGeriatricsGeriatrics and GerontologybusinessGerontologyNeurocognitive

description

The Sustained Attention to Response Task (SART) has been used to measure neurocognitive functions in older adults. However, simplified average features of this complex dataset may result in loss of primary information and fail to express associations between test performance and clinically meaningful outcomes. Here, we describe a new method to visualise individual trial (raw) information obtained from the SART test, vis-à-vis age, and groups based on mobility status in a large population-based study of ageing in Ireland. A thresholding method, based on the individual trial number of mistakes, was employed to better visualise poorer SART performances, and was statistically validated with binary logistic regression models to predict mobility and cognitive decline after 4 years. Raw SART data were available for 4864 participants aged 50 years and over at baseline. The novel visualisation-derived feature bad performance, indicating the number of SART trials with at least 4 mistakes, was the most significant predictor of mobility decline expressed by the transition from Timed Up-and-Go (TUG) &lt

yearjournalcountryeditionlanguage
2021-08-31Geriatrics
10.3390/geriatrics6030085https://www.mdpi.com/2308-3417/6/3/85