Effect of hot versus cold climates on power output, muscle activation, and perceived fatigue during a dynamic 100-km cycling trial.

The purpose of this study was to examine the influence of environmental temperature on power output, muscle activation, body temperature, and perceived physical strain during a dynamic self-paced 100-km cycling trial. Nine endurance-trained male cyclists (mean + or - s: age 31 + or - 6 years; VO(2max) 62.1 + or - 8.5 ml x kg(-1) x min(-1)) completed two 100-km experimental trials, interspersed with five 1-km and four 4-km high-intensity epochs, in hot (34 degrees C) and cold (10 degrees C) environments. Measurements consisted of power output, rectal and skin temperature, muscle activation of vastus lateralis, biceps femoris and soleus, ratings of perceived exertion, thermal sensation and pain intensity in the quadriceps. Power output and muscle activation of the biceps femoris and soleus were lower in the hot trial (22 km; P < 0.05) prior to significant (P < 0.05) differences in rectal temperature [38.8 degrees C (cold) vs. 39.1 degrees C (hot)] at 42 km. Muscle activation of the vastus lateralis, biceps femoris, and soleus was significantly (P < 0.001) correlated with power output and thermal sensation (r > 0.68) but not with perceived pain or exertion. Thus, a hyperthermic-induced anticipatory reduction of muscle activation may have occurred during the hot exercise trials only. Fatigue and pacing during prolonged dynamic exercise in the cold appears to be influenced by factors dissociated from hyperthermic-induced stress.

Validation of an EMG-driven, graphically based isometric musculoskeletal model of the cervical spine.

EMG-driven musculoskeletal modeling is a method in which loading on the active and passive structures of the cervical spine may be investigated. A model of the cervical spine exists; however, it has yet to be criterion validated. Furthermore, neck muscle morphometry in this model was derived from elderly cadavers, threatening model validity. Therefore, the overall aim of this study was to modify and criterion validate this preexisting graphically based musculoskeletal model of the cervical spine. Five male subjects with no neck pain participated in this study. The study consisted of three parts. First, subject-specific neck muscle morphometry data were derived by using magnetic resonance imaging. Second, EMG drive for the model was generated from both surface (Drive 1: N=5) and surface and deep muscles (Drive 2: N=3). Finally, to criterion validate the modified model, net moments predicted by the model were compared against net moments measured by an isokinetic dynamometer in both maximal and submaximal isometric contractions with the head in the neutral posture, 20 deg of flexion, and 35 deg of extension. Neck muscle physiological cross sectional area values were greater in this study when compared to previously reported data. Predictions of neck torque by the model were better in flexion (18.2% coefficient of variation (CV)) when compared to extension (28.5% CV) and using indwelling EMG did not enhance model predictions. There were, however, large variations in predictions when all the contractions were compared. It is our belief that further work needs to be done to improve the validity of the modified EMG-driven neck model examined in this study. A number of factors could potentially improve the model with the most promising probably being optimizing various modeling parameters by using methods established by previous researchers investigating other joints of the body.

Effect of starting stance on initial sprint performance.

The effect of different starting stances from a standing position on short sprint times and the subsequent variability in times was investigated in this study. A dual-beam timing light system was used to measure 5- and 10-m times for 3 different standing starts commonly found in the sporting environment: parallel (feet parallel to the start line), split (lead left foot on start line, right leg back), and false (initial parallel start, right leg drops back to split start when movement initiated). The parallel start was found to be significantly (alpha < 0.05) slower than the other 2 stances for both the 5- ( approximately 8.3%) and the 10-m (approximately 5.9%) distances. Within the trial, variation of the different starting stances was equally consistent; however, there was less variability for the 10-m distance (CV = 1.16-1.67%) than the 5-m distance (CV = 1.43-2.15%) for each start for both men and women. The split and false start seem to offer the best option as a movement strategy for minimizing short-distance sprint times. However, the benefits of these 2 starts are less clear if total movement time is the variable of interest.