To record maximal isometric voluntary contraction (MVC) participants were able to follow their performance on the oscilloscope and were verbally encouraged to achieve a maximum and to maintain it for at least 2–3 sec before relaxing. Three attempts were performed, separated by 5 min, and the greatest of the three attempts was selleckchem chosen as MVC (Macaluso and De Vito 2003). Data

analysis Data recorded by the inertial sensor system were analyzed off-line with algorithms and software to interpret the type of posture changes and body motion such as the onset, duration, and frequency of these activities (MiniSun GaitView 2 2.2). Amount of daily living activities Inhibitors,research,lifescience,medical was expressed in terms of daily energy expenditure (kcal), daily walking distance (m), time (min), and count (n) of each activity (sitting, reclining, lying, walking, running, jumping, and step climbing). The time spent resting (min) was obtained by summing the time of sitting, reclining, and lying. Time and count of sit to stand were

calculated as the sum of transitions between sitting (or reclining) and standing. Time and Inhibitors,research,lifescience,medical count of stand to sit were obtained as the sum of transitions between standing and sitting (or reclining). Time and count of transition were obtained as the sum of sit to stand and stand to sit. Intensity of daily living activities was expressed as speed (m/sec) and power (W) of walking, running, jumping, Inhibitors,research,lifescience,medical and step climbing. All data are presented as the average of the two 24-h sessions. Mechanical data were analyzed off-line using Inhibitors,research,lifescience,medical LabVIEW 8.0 Software (National Instruments). Torque was calculated as the product of the force recorded by the

transducer and the distance between the axis of rotation of the joint and the point where force was applied. MVC torque Inhibitors,research,lifescience,medical was chosen as the mean value of a 1-sec window around peak torque. Statistics All data were normally distributed in terms of skewness and kurtosis (all values <2). Statistical comparisons of each parameter (energy expenditure, walking distance, resting time, walking time, running time, jumping time, step-climbing time, sit-to-stand time, stand-to-sit time, transitions time, walking count, running count, jumping count, step-climbing count, sit-to-stand count, stand-to-sit count, transitions count, walking speed, running speed, jumping speed, step-climbing speed, walking power, running power, jumping power, and step-climbing power), between groups (patients and individuals ADP ribosylation factor of the control group) were carried out using a two-sample Student’s t-test. Pearson correlation coefficient was calculated to look at the association between each parameter from IDEEA and muscle strength. Statistical significance levels were set at P < 0.05. Unless otherwise specified, data were presented as mean ± standard error of the mean. Results Amount of physical activity There were no significant differences in the mean energy expenditure of the 24-h sessions between CMT1A patients (2437.59 ± 353.