The MAT-sf: Clinical Relevance and Validity

Rejeski, W. Jack; Marsh, Anthony P.; Anton, Stephen D.; Chen, Shyh‐Huei; Church, Tim; Gill, Thomas M.; Guralnik, Jack M.; Glynn, Nancy W.; King, Abby C.; Rushing, Julia; Ip, Edward H.

doi:10.1093/gerona/glt068

Cited by 17 publications

(22 citation statements)

References 29 publications

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“…The Mobility Assessment Tool—short form (MAT‐sf) is a brief, self‐report tool that asks older adults to characterize their mobility in reference to an animated avatar performing mobility tasks of varying difficulty. MAT‐sf scores predict mobility disability . The avatar performs real‐world tasks (walking on uneven paths, climbing stairs), and the full measure quantifies mobility limitation.…”

mentioning

confidence: 99%

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Self‐Reported Physical Function As a Predictor of Hospitalization in the Lifestyle Interventions and Independence for Elders Study

Callahan¹,

Lovato

Miller

et al. 2018

J American Geriatrics Society

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Background Hospitalization reduces mobility for many older adults, which in turn is associated with an increased risk of hospitalization. Physical function screening may identify an at-risk population for intervention. The Mobility Assessment Tool – short form (MAT-sf) is a brief, animated, computer-based means of assessing mobility that predicts mobility disability. This study explored whether baseline MAT-sf scores are associated with number of hospitalizations and time to first hospitalization across a median follow-up of 2.7 years. Design Post-hoc analysis of prospectively-gathered data from the Lifestyle Interventions and Independence for Elders (LIFE) Study, a randomized clinical trial of lifestyle interventions to preserve mobility in older adults, conducted in eight U.S. academic medical centers. Participants Among 1635 sedentary community-dwelling older adults enrolled in LIFE, 1574 completed baseline physical function screening including the MAT-sf, with baseline scores ranging from 30.2 (low function) to 69.8 (high function) on a scale from 30-80. Measurements Number of hospitalizations and time to first hospitalization, adjusted for age, gender, race, living alone, clinical site, baseline comorbidities, # prescription medications, and cognition. Results Of the 1557 participants with data regarding hospitalization status, 726 (47%) experienced at least one hospitalization; the majority (78%) of these experienced 1-2 hospitalizations. For every 10-point difference in MAT-sf score, the rate of all hospitalizations was higher by 19% in those with lower scores (adjusted rate ratio 1.20, 95% CI: 1.08-1.32, p<0.001). Lower baseline MAT-sf scores were also associated with an increased risk of first hospitalization (adjusted Hazard Ratio 1.20, 95% CI: 1.09 to 1.32, p< 0.01, per 10-point difference in MAT-sf). Conclusion Low MAT-sf scores identify older adults at increased risk for hospitalizations; further study is needed to test interventions to reduce hospitalizations in these patients.

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confidence: 99%

“…MAT-sf scores predict mobility disability. 17,18 The avatar performs realworld tasks (walking on uneven paths, climbing stairs), and the full measure quantifies mobility limitation. MAT-sf scores are standardized around a mean of 50 and a standard deviation (SD) of 10.…”

mentioning

confidence: 99%

Self‐Reported Physical Function As a Predictor of Hospitalization in the Lifestyle Interventions and Independence for Elders Study

Callahan¹,

Lovato

Miller

et al. 2018

J American Geriatrics Society

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“…They found a strong association between lower extremity performance measures and self-reported measures but concluded, based on differences in adverse outcomes among persons scoring at the high end of a performance-based summary scale, that performance measures had value across a broader functional spectrum. Rejeski et al (2010) and Rejeski et al (2013) have argued in studies focused on mobility that self-report and performance measures offer different and unique information about capacity despite shared variance. In a study of stair climbing performance over time among older people with knee pain and low leg strength, ability to climb stairs declined more among those with low self-reported confidence in ability at baseline (Rejeski, Craven, Ettinger, McFarlane, & Shumaker, 1996).…”

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confidence: 99%

Measuring Physical Capacity

2016

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Objective The objective of this study was to develop and assess a composite measure of physical capacity using self-report and physical performance items. Method Item response theory (IRT) is used to evaluate measurement properties of self-report and performance items and to develop a composite measure for 7,609 participants in the National Health and Aging Trends Study. Results Self-reports distinguish differences at the lower end of physical capacity but not at mid-to-high levels. Performance-based measures discriminate across a fuller spectrum. An IRT-based composite score, drawing on both, provides increased measurement precision across the physical capacity spectrum and detects age group differences if either self-report or performance does so—suggesting it is better suited for studying age-related changes than either measure alone. Discussion Self-report and performance measures have different strengths on the physical capacity spectrum. IRT provides a means of combining these different measurement approaches for analyses of physical capacity across a broad range of functioning in later life.

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“…Scores on the MAT-sf range from 30.21 to 69.76, indicative of poor to excellent mobility in older adults. For example, participants with a mean age of 78.9 ±5.2 years in the LIFE Study 20 scored a mean of 53.6 and SD of 8.0 on the MAT-sf. Their risk of major mobility disability after 3 years of follow-up was 22% for those with scores ≥60, 35% for those with scores 50–59, 52% for those with scores 40–49, and 66% for those with scores <40.…”

Section: Methodsmentioning

confidence: 99%

“…18,19 However, such performance-based measures carry an inherent, albeit modest, risk of falls and injury and, more importantly, can be affected by transient states such as pain and acute illness, limiting their value in the preoperative setting. 20 …”

Section: Introductionmentioning

confidence: 99%

Self-reported Mobility in Older Patients Predicts Early Postoperative Outcomes after Elective Noncardiac Surgery

et al. 2016

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Background Specific geriatric assessment tools may complement traditional perioperative risk stratification. The aim of this study was to evaluate whether self-reported mobility is predictive of postoperative outcomes in older patients undergoing elective noncardiac surgery. Methods Patients aged 69 yr or older (n = 197) underwent (1) traditional risk assessments (American Society of Anesthesiologists physical status classification and Revised Cardiac Risk Index), (2) five-point frailty evaluation, (3) self-reported mobility assessment using the Mobility Assessment Tool–short form (range, 30.21 [poor] to 69.76 [excellent]), and (4) measurements of high-sensitivity C-reactive protein. Outcomes were postoperative complications, time to discharge, and nursing home placement (NHP). Results In the sample of this study (mean age, 75 ± 5 yr; 51% women), 72% had intermediate- or high-risk surgery. Median time to discharge was 3 days (interquartile range, 1 to 4 days). Thirty patients (15%) developed postoperative complications, and 27 (13%) required NHP. After controlling for age, sex, body mass index, pain score, Revised Cardiac Risk Index, American Society of Anesthesiologist physical status, surgical risk, and high-sensitivity C-reactive protein, worse self-reported mobility (per 10-point decrease in Mobility Assessment Tool, which is equivalent to 1 SD) was associated with more postoperative complications (odds ratio [OR], 1.69; 95% CI, 1.05 to 2.73), later time to discharge (hazards ratio, 0.81; 95% CI, 0.68 to 0.96), and increased NHP (OR, 2.01; 95% CI, 1.13 to 3.56). By using the same model, intermediate frailty or frailty increased NHP (OR, 3.11; 95% CI, 1.02 to 9.54) but was not related to either postoperative complications or time to discharge. Conclusions Preoperative self-reported mobility using a novel and brief assessment may help identify elderly patients at risk for adverse postoperative events.

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The MAT-sf: Clinical Relevance and Validity

Cited by 17 publications

References 29 publications

Self‐Reported Physical Function As a Predictor of Hospitalization in the Lifestyle Interventions and Independence for Elders Study

Self‐Reported Physical Function As a Predictor of Hospitalization in the Lifestyle Interventions and Independence for Elders Study

Measuring Physical Capacity

Self-reported Mobility in Older Patients Predicts Early Postoperative Outcomes after Elective Noncardiac Surgery

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