Validity and reliability of the NIH Toolbox® Standing Balance Test As compared to the Biodex Balance System SD.

BACKGROUND/ PURPOSE: The NIH Toolbox® was developed to assess functions among motor, sensory, emotional, and cognitive domains. The motor domain of the NIH Toolbox® includes an assessment for standing balance. Studies have validated early versions of the balance assessment for ages 3 through 85; however, no studies have examined the reliability and validity in its current version (using iPod Touch) against established balance measurements such as the Biodex SD modified clinical test of sensory integration of balance (m-CTSIB). SUBJECTS: Ninety-three community dwelling older adults (38 males 55 females) ≥60 years old (SD 74 ± 6). METHODS: One-day assessment using the NIH Toolbox® and the Biodex SD m-CTSIB. Intraclass correlation coefficients (ICC3,1) were used to measure the test-retest reliability, and Pearson's product correlation examined criterion validity. RESULTS: The overall composite of the Biodex SD m-CTSIB and NIH Toolbox® showed moderate test-retest reliability (ICC3,1 = 0.71, MDC = 1.21) (ICC3,1 = 0.84, MDC = 0.65,) respectively. The NIH Toolbox® Theta Score and Biodex overall Sway Index (SI) shows acceptable reliability criterion validity (r = 0.52) indicating moderate overlap in constructs. CONCLUSIONS: The NIH Toolbox®balance assessment demonstrates acceptable criterion validity compared to the Biodex SD m-CTSIB. The NIH Toolbox® is a valid, reliable, and accessible device; therefore, the NIH Toolbox® should be considered for use in clinical evaluations.

Does skeletal muscle morphology or functional performance better explain variance in fast gait speed in older adults?

BACKGROUND: Fast gait speed is being increasingly recognized as an important clinical tool in older adults. However, the underlying muscular and functional contributors to fast gait speed performance remain poorly understood. AIM: We sought to determine predictors of fast gait speed in older adults. We hypothesized that lower-extremity skeletal muscle size and quality would be strong predictors. METHODS: Ninety community-dwelling older adults (33 men, 57 women; mean ± SD age = 74 ± 6 years) participated. B-mode ultrasonography was used to capture images of the vastus lateralis, rectus femoris, and gastrocnemius in the transverse plane. Each participant performed 30-second chair stand, heel-rise, functional reach, and grip strength tests. Fast gait speed was measured using the NIH Toolbox 4-Meter Walk Test. ImageJ software was used to quantify cross-sectional area (CSA), subcutaneous tissue thickness, and echo intensity. Two separate stepwise regression analyses were performed, one using muscle morphology variables as independent variables, and another including the functional outcomes. RESULTS: The ultrasound variables exhibited weak-to-moderate correlations with fast gait speed (|r| range = 0.168-0.416). The initial regression analysis indicated that the combination of medial gastrocnemius CSA and subcutaneous tissue thickness explained 22.8% of the variance in fast gait speed. The secondary analysis indicated that 30-second chair stand, heel-rise, and grip strength performance explained 45.5% of the variance. CONCLUSION: While medial gastrocnemius morphology is important, measures of upper and lower-extremity muscle function are better predictors of fast gait speed. These results highlight a dissociation between skeletal muscle morphology and fast gait speed.

Knowledge gains and intent to change practice patterns after the Leveraging Existing Abilities in Dementia (LEAD)™ Training Program.

Few investigations have examined dementia training programs for rehabilitation professionals. To address this, the Leveraging Existing Abilities in Dementia (LEAD) program was developed and examined with a pilot study. LEAD addressed dementia knowledge; the Strength-Based Approach; strategies for communication, recognizing behaviors, and learning techniques; and documentation. Participants completed pre-program, post-program, and three-month follow-up questionnaires assessing confidence, practice patterns, and dementia knowledge. Confidence and use of treatment strategies increased through the three-month follow-up and dementia knowledge significantly increased following training. LEAD positively impacted rehabilitation professionals' knowledge, confidence, and use of evidence-based treatment strategies. Implications of LEAD and future research are discussed.

An Investigation of the Predictors of Comfortable and Fast Gait Speed in Community-Dwelling Older Adults.

BACKGROUND/PURPOSE: To identify the unique predictors of comfortable and fast gait speed in community-dwelling older adults using measures of physical performance (eg, lower extremity strength and balance), self-reported balance confidence, and global cognitive function. METHODS: Demographic information was collected from 60 healthy, community-dwelling older adults older than 60 years. Participants completed the following assessments: Mini-Mental State Examination; Activities-Specific Balance Confidence Scale; 30-second Chair Stand (30-SCS); Functional Reach (FR); and gait speed (comfortable and fast) using the GAITRite system. Hierarchical linear regression was used to examine the relationship of both fast and comfortable gait speeds with functional performance (CST and FR), cognition (Mini-Mental State Examination), Activities-Specific Balance Confidence Scale, and demographic information (age, gender, and body mass index). RESULTS AND DISCUSSION: Functional performance measures (30-SCS and FR) explained 55.4% and 64.7%, respectively, of the variance in comfortable and fast gait speed. Unique predictors for comfortable gait speed included 30-SCS, FR, and body mass index. Unique predictors of fast gait speed included 30-SCS, FR, gender, body mass index, and Activities-Specific Balance Confidence Scale score. These predictors explained 68.5% and 80.4% of the total variance in comfortable and fast gait speed, respectively. Global cognition was not a unique predictor of gait speed when performance measures were statistically controlled. However, the current study measured global cognitive status rather than the specific cognitive constructs, such as processing speed or executive function. Further research is needed to determine the role of cognition in the composition of gait speed. CONCLUSIONS: Gait speed is an important indicator for many outcomes such as fall risk, mortality, and functional status. Understanding that key variables of strength and balance comprise a large portion of gait speed allows clinicians to better direct their care and optimize rehabilitation outcomes. This study specifically used functional measures of strength and balance that can be easily implemented in the clinical setting.