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Official Journal of the American College of Sports Medicine<br />

1259 Board #205 May 30, 9:00 AM - 10:30 AM<br />

underlying Motor Control of the romberg and Wii Balance<br />

assessments in Concussed athletes<br />

Nicholas G. Murray 1 , Anthony P. Salvatore 1 , Joe Tomaka 1 ,<br />

Arthur Islas 2 , Rebecca J. Reed-Jones 1 . 1 The University of Texas<br />

at El Paso, El Paso, TX. 2 Texas Tech University Health Sciences<br />

Center, El Paso, TX.<br />

(No relationships reported)<br />

Approximately 300,000 sports-related concussion injuries occur yearly in the United<br />

States. Balance disturbances, which occur in approximately 30% of these injuries, are<br />

typically assessed via the Romberg Test. Recently, the NCAA has recommended the<br />

WiiFit as an alternative measure of balance post-concussion However, the reliability<br />

and validity of the Wii, and its relationship to the Romberg test, are unknown.<br />

PurPOsE: This study examined relationships among the WiiFit Balance Test,<br />

the Romberg Test, and composite scores on the ImPACT test in a sample of postconcussed<br />

athletes. Composite scores were included as indicators of the motor<br />

processes underlying the balance tests.<br />

METhOd: 55 post-concussed athletes (40 male) completed the Romberg Test<br />

(-/+), the WiiFit balance test, and ImPACT test. WiiFit balance performance was<br />

operationalized as the number of successfully completed trials (of 5 trials of increasing<br />

difficulty) within 30 seconds. Pearson’s correlations examined univariate associations<br />

among the variables. ROC curves evaluated the sensitivity and specificity of each<br />

balance test against performance on the ImPACT. Lastly, a multiple regression analysis<br />

examined whether the Romberg and Wii tests shared redundant or unique variance<br />

with ImPACT composite score.<br />

rEsuLTs: The Romberg test and Wii balance test were not significantly related (r<br />

= -.029, p = .832). The Romberg correlated positively with ImPACT scores (r = .26,<br />

p = .041), whereas Wii trials did not (r = -.20, p = .155). Romberg scores positively<br />

correlated with ImPACT Visual Processing Speed Score (r = .27, p = .036) and<br />

Reaction Time score (r = .34, p =0.006). In contrast, Wii trials correlated negatively<br />

with the ImPACT Visual Memory Score (r = -.41, p = .003). The Romberg test resulted<br />

in sensitivity = 0.55 and specificity = 0.77, while the Wii had specificity and sensitivity<br />

values of 0.76 and 0.57 respectively. Lastly, a multiple regression analysis suggested<br />

that Wii balance scores accounted for variance in overall ImPACT scores (b= -.37, p <<br />

.05) independently of variance accounted for by Romberg scores.<br />

CONCLusION: The Wii Fit balance game and Romberg assess unique aspects of<br />

balance and motor control. The Romberg test relates directly to single sensory motor<br />

processing, while the Wii balance game related to multi-sensory motor processing.<br />

1260 Board #206 May 30, 9:00 AM - 10:30 AM<br />

Balance and sensibility Impairments In adults diagnosed<br />

With hiv: Effectiveness Of an Exercise Program<br />

Maryvi Gonzalez-sola 1 , Martin Rosario 1 , Angel Rosado 2 , Alexis<br />

Ortiz 3 . 1 University of Puerto Rico, Medical Sciences Campus,<br />

San Juan, Puerto Rico. 2 Polytechnic University of Puerto Rico,<br />

San Juan, Puerto Rico. 3 Texas Woman’s University, School of<br />

Physical Therapy, Texas, TX.<br />

(No relationships reported)<br />

Balance and sensibility impairments are common in adults diagnosed with HIV as a<br />

consequence of infection and from secondary effects of medications.<br />

PurPOsE aNd hyPOThEsIs: To assess the effectiveness of a three-month<br />

exercise program on to balance and sensibility in adults diagnosed with HIV. We<br />

hypothesized participation in a three-month exercise program will improve balance and<br />

foot sensation in individulas diagnosed with HIV.<br />

METhOds: Participants (n = 16) were assessed previous to participating in a<br />

community-based physical fitness exercise program and three months after program<br />

initiation. Balance was measured with a MatScan as the displacement of the<br />

center of pressure in cube centimeters in two conditions; eyes open and eyes closed.<br />

Sensibility was evaluated by Semmes-Weinstein monofilaments. Paired t-tests were<br />

used to compare pre and post balance and sensibility values for both conditions.<br />

rEsuLTs: Balance values with the eyes open improved significantly (p = 0.04) from<br />

baseline (3.78 ± 1.4 cm 2 ) to three months (0.84 ± 0.14 cm 2 ) post exercise participation.<br />

Although, balance with eyes closed improved over time (2.26 ± 0.56 cm 2 to 1.42 ±<br />

0.37 cm 2 ), such improvement was not statistically significant (p = 0.15). Sensibility<br />

values did not change after the intervention.<br />

CONCLusIONs: Participation in a fitness program appears to improve balance<br />

with opened eyes suggesting improvement throughout the visual, vestibular, and<br />

proprioceptive systems without improvements in sensibility scoress.<br />

Vol. 45 No. 5 Supplement S243<br />

1261 Board #207 May 30, 9:00 AM - 10:30 AM<br />

Influence of Cognitive Function on Clinical Balance<br />

assessments in Community-dwelling Elderly<br />

Stephanie A. Bomberger, Bonita L. Marks, FACSM, Abbie E.<br />

Smith-Ryan, Tiffany E. Shubert. University of North Carolina at<br />

Chapel Hill, Chapel Hill, NC.<br />

(No relationships reported)<br />

Deficits to balance, mobility, muscle strength, and cognition are risk factors for<br />

falling. In the clinical setting, performance assessments are commonly used to identify<br />

physical deficits; however cognition is rarely screened or assessed. Identifying balance,<br />

mobility or strength tests associated with cognitive performance may enable clinicians<br />

to better assess the risk factors associated with falling and develop appropriate<br />

interventions.<br />

PurPOsE: To investigate relationships between cognitive function, balance, mobility,<br />

and muscular strength in higher functioning community-dwelling elderly volunteers.<br />

METhOds: This was a cross-sectional study. Age-adjusted multiple regression<br />

models were used to assess relationships between cognitive function (Symbol Digit<br />

Modalities Test, SDMT) and performance assessments of balance (Single-Leg Stance<br />

Test, SLS; Tandem Stance Test, TS; Four Square Step Test, FSST); mobility (gait<br />

velocity per 10-Meter Walk,10MW); and muscular strength (Timed Chair Rise, TCR).<br />

rEsuLTs: Data from 107 older adults (75% female), aged 65-93 years (mean 78.1<br />

± 7.2) were analyzed. All completed 12+ years of school; 82% completed postsecondary<br />

education. Age was a significant in all models, uniquely responsible for<br />

29-30% of the variability in SDMT score (p < 0.01). The FSST (β = -0.289, p < 0.01)<br />

and gait velocity (β = 0.256, p < 0.01) were the only significant predictors for SDMT<br />

performance.<br />

CONCLusIONs: Faster gait velocity (10MW) and faster FSST (dynamic balance)<br />

performance may be predictive of better cognitive function. In a clinical setting, the<br />

FSST and 10MW are reliable and valid assessments of fall risk. These two assessments<br />

may also provide additional insight about cognitive and physical risk factors, without<br />

having to do a formal cognitive assessment. This may aid clinicians in prescribing<br />

balance intervention protocols tailored to cognitive ability that will be efficacious for<br />

reducing fall risk.<br />

1262 Board #208 May 30, 9:00 AM - 10:30 AM<br />

Best Predictors of Impending Loss of Balance in single Leg<br />

stance<br />

KyungMo Han 1 , Mark D. Ricard 2 , KiHong Kim 3 . 1 San Jose State<br />

University, San Jose, CA. 2 The University of Texas at Arlington,<br />

Arlington, TX. 3 Dankook University, Cheonan, Republic of<br />

Korea.<br />

(No relationships reported)<br />

The typical measures of balance from center of pressure variables include radial area, x<br />

& y: amplitude, area, velocity and mean frequency. Single leg stance trials in which the<br />

subjects loose balance are typically discarded. We theorized that the data just prior to<br />

the loss of balance contain valuable information on impending loss of balance.<br />

PurPOsE: To determine which center of pressure variables are significantly different<br />

between stable and unstable (impending loss of balance) in single leg stance.<br />

METhOds: Sixteen (8 females, 8 males) healthy college age subjects (age =<br />

20.8±2.4 yrs, height = 157.5±6.3 cm, mass = 63.3±7.9 kg) were participated in the<br />

study. Each subject completed 8 trials of single leg balance on a force platform.<br />

The force data were sampled for 15 seconds at 60 Hz and low pass filtered with a<br />

10 Hz cutoff. The first trial where the subject lost balance was retained for analysis.<br />

Impending loss of balance was identified by visual inspection of vertical, anteriorposterior,<br />

and medial-lateral force signals. The center of pressure data were separated<br />

into stable and unstable epochs within each loss of balance trial. Total travel distance,<br />

radial area, x & y: amplitude, area, velocity and mean frequency for stable and<br />

unstable phases in single leg stance were compared using dependent t-tests.<br />

rEsuLTs: There were no differences between stable and unstable phases for:<br />

Vx (0.15±0.73 cm/s, −0.14±1.29 cm/s), Vy(−0.03±0.38 cm/s, −1.34±3.00 cm/s), x<br />

Amplitude (0.08±0.02 cm, 0.08±0.07 cm), x Range (4.02±0.09 cm, 3.65±3.00 cm),<br />

and XY area (22.21±11.87 cm2, 42.78±42.87 cm2), respectively p>0.05. There were<br />

significant differences between stable and unstable phases for: Total travel distance<br />

(0.13±0.04 cm, 0.26±0.11 cm), y Amplitude (0.08±0.03 cm, 0.23±0.10 cm), y Range<br />

(5.31±2.37 cm, 10.48±4.52 cm), radial area(1.50±0.47 cm2, 2.39±1.29 cm2), x mean<br />

frequency (3.67±1.23 Hz, 5.56±1.25 Hz), and y mean frequency (2.17±0.98 Hz,<br />

5.49±1.54 Hz), respectively, p

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