Long-term microgravity (μ
The ARED’s flywheels simulate the inertial features of weightlifting on Earth; pneumatic cylinders provide its primary source of resistance (Bentley et al., 2006). Yet a biomechanical simulation of in-flight squat repetitions on the ARED showed no amount of added shoulder resistance and offered the same level of leg muscle loading as when the exercise is done in 1-
Studies report divergent changes to [T] that vary by exercise intensity, mode, and duration (Liu et al., 2009). Exercise rapidly increases [T] but does not impose long-term changes (Liu et al., 2009), which suggest a greater exercise frequency is needed to consistently elevate [T]. μ
Perhaps the merits of flywheel-based workouts are best assessed by monitoring changes to testosterone and lactate. To make workouts more pertinent to μ
A university-based institutional review board approved study procedures. Healthy college-age subjects (17 men, 18 women) gave informed written consent. Male subject characteristics (mean ± sem) were as follows: height 183.9 ± 2.0 cm, mass 97.3 ± 5.3 kg, body fat percentage 17.6 ± 1.6%. Characteristics of our female subjects were: height 165.6 ± 1.4 cm, mass 67.9 ± 2.6 kg, body fat percentage 27.4 ± 1.6. None had prior experience with the prototype ergometer. For our study one workout entailed two sets of concentric-only repetitions (CO2), while another involved two sets that included both concentric and eccentric actions (CE2). A third workout entailed four sets of concentric-only repetitions (CO4). Workouts were comprised of eight-repetition sets. Based on prior results (Caruso et al., 2010), CE2 and CO4 should entail similar volumes of work, and each should be twice that of CO2. Figure 1 illustrates the prototype ergometer.
Ankle, knee, and hip joint movements during leg press repetitions on the prototype ergometer mimic those of the FWED (European Space Agency, 2009; International Exercise Countermeasures Working Group, 2010). The flywheels’ radii (23 cm) dictate the ergometer’s resistance. Forces are exerted against a footplate mounted onto a lever arm that moves like a pendulum. As concentric torque overcomes the resistance, the flywheels and axle rotate. Upon rotation, the cord unwraps from the axle as the lever arm moves away from the seat to allow the knees to extend. Upon full extension, kinetic energy imparted by flywheel rotation reverses footplate movement as the strap rewraps around the axle; at that time during CE2 workouts eccentric torque slowed both the footplate’s return motion and flywheel rotation. The level of eccentric loading is reliant on the peak flywheel velocity attained by the prior concentric action. Maximal-effort concentric actions offer more eccentric loading than standard weight training devices (Tesch and Berg, 1997). Unlike the CE2 paradigm, for CO2 and CO4 workouts users exert no eccentric torque but rather, once full knee extension occurs, allow the lever arm to return to its position at the start of repetitions unimpeded as their feet remain perched atop the footplate.
As part of a repeated measures design, subjects made four laboratory visits. After familiarization, in which they exercised on the ergometer at a submaximal level of effort, they performed three workouts separated by one week. Though regular meals/food does not impact circadian-based [T] (Grigor’iev et al., 1994), subjects were instructed to consume their normal diets on workout days. Workouts occurred between 1300-1700 hours. Per subject, they occurred at the same time of day and began with a pre-exercise lactate measurement whereby ~20 μL of fingertip blood was placed on a test strip inserted within a calibrated analyzer (Accutrend; Hawthorne, NY). Prior research notes the analyzer yielded acceptable [BLa-] (Baldari et al., 2009). With specialized kits (Salimetrics; State College, PA) we obtained saliva to measure [T] due its minimal invasiveness and data reliability in both men and women (Liening et al., 2012; Strollo et al., 2005). Subjects passively drooled for two minutes onto a sublingual swab, which was then immediately inserted into a container and submerged in ice for temporary storage. After a five-minute stationary cycling (Ergotest 812A; Stockholm, Sweden) warm-up, subjects performed a workout. Once a workout was performed, they did not repeat it.
A rotary encoder was mounted on the ergometer to record flywheel velocities at 10 Hz. That data was fed into a computer equipped with software (Model 8.1, Labview, Austin, TX). Work was calculated as: Ekin = I ½ (ω2) whereby I equals flywheel inertia and ω denotes the peak velocity per repetition. That formula calculated the work done per repetition and was summed to derive the total work (TW) per exercise bout. Such instrumentation methods have produced acceptable levels of reproducibility (Caruso et al., 2006). For workouts, subjects were instructed to exert maximal effort, received verbal encouragement, and rested 90 seconds between sets. [BLa-] were measured at zero-, five-, ten-, 15-, and 20-minutes post-exercise. Since [BLa-] undergo rapid changes in response to exercise, we chose multiple measurements to assess temporal changes to the metabolite. Post-exercise saliva collection occurred (mean ± sem) 11.6 ± 0.6 minutes after the final set per workout. Our salivary assay procedures to quantify [T] were identical to methods used previously by members of our investigative team (Caruso et al., 2012).
We used Z-scores to locate data outliers. Our data was examined for compliance to ANOVA assumptions (normality, independence, equal variances). TW data were compared with a one-way ANOVA; no inter-gender comparison occurred as prior research affirmed higher male TW values (Caruso et al., 2010). [BLa-] were assessed with a 2 (gender) x3 (workout) x6 (time) ANOVA, with repeated measures for workout and time. [T] were compared with a 2 (gender) x2 (time) x3 (workout) ANOVA, with repeated measures for workout and time. We used subjects’ pre-exercise [T] as a covariate to limit the variability of data provided by both men and women. Scheffe’s post-hoc located the source of the differences. An α = 0.05 was used for all analyses.
Z-score analyses revealed no outliers and ANOVA assumptions were met. TW data appear in Table 1 and were partitioned into concentric, eccentric, and total values. Table 1 results include a significant (CE2, CO4 > CO2) inter-workout difference. [BLa-] appear in Figure 2 and exhibit a workout x time interaction. The post-hoc revealed differences in [BLa-] per post-exercise time point, whereby CO4 workouts evoked the highest [BLa-] and significantly more than the CE2 and CO2 bouts. Only at five-minutes post-exercise did CE2 and CO2 [BLa-] differ significantly. Figure 3 displays [T] with gender (men > women) and time (pre < post) main effects.
Concentric | Eccentric | Total (TW) | |
---|---|---|---|
CO2 | 5074 ± 275 | - | 5074 ± 275 |
CE2 | 4935 ± 261 | 4893 ± 261 | 9846 ± 189* |
CO4 | 9620 ± 410 | - | 9620 ± 410* |
: CE2, CO4 > CO2 (P < 0.05)
Our rationale for a 1-
Concentric actions require a steady supply of ATP to break crossbridges that cause sarcomeres to shorten (Komi et al., 1987). Yet for eccentric exercise, crossbridges break from the external loads imposed upon muscles. Prior studies that compared concentric and eccentric exercise saw stark contrasts between muscle shortening and lengthening actions that may explain the post-exercise differences to our [BLa-]. Weight training done against the same absolute load noted eccentric actions required only 14-16% of the energy cost of concentric exercise (Dudley et al., 1991; Menard et al., 1991), and even when matched for work muscle lengthening elicited only 20% of the energy cost of concentric actions (Komi et al., 1987). Our results concur with prior outcomes that suggest eccentric actions require less ATP and yield smaller increases in [BLa-] than concentric exercise (Dudley et al., 1991; Komi et al., 1987; Menard et al., 1991).
Our CO4 workout produced greater post-exercise [BLa-], presumably since CE2 bout relies less upon ATP to break crossbridges (Komi et al., 1987). Recent research, with the same ergometer used in our study, assessed the impact of contractile mode and work volume on changes to [BLa-] from three different leg press bouts (Caruso et al., 2010). [BLa-] were measured before and at five minutes post-exercise and led to a time main effect (post > pre) but no inter-workout differences. [BLa-] were like those produced on standard weight training equipment and were indicative of the type of protocol performed (Caruso et al., 2010). Discrepancies in post-exercise [BLa-] results among the current and prior studies may be due to differences in the three workouts used for each investigation. The two-way [BLa-] interaction seen in the current, but not prior, trial is likely due to our larger subject sample.
Unlike our [BLa-] results, data for our [T] did not include inter-workout differences. Prior research shows [T] deficits in men who bed rested for 27 days as they concurrently exercised (Wade et al., 2005). Subjects were divided into three with no crossover; one group served as sedentary bed rest controls, while the two other bed rest groups concurrently performed supine aerobic or resistive exercise five times per week. Results showed those who exercised experienced significant deficits in [T]; the degree of loss was not significantly different among the two exercise modes. It was noted other factors, such as lower caloric intake and higher energy costs, may interact with exercise to exacerbate losses in [T]. Yet unlike our study, bed rest subjects who received the resistive exercise treatment performed repetitions that isolated movement to the knee joint (Wade et al., 2005). Perhaps high-intensity multi-joint exercises, like the current workouts, are best suited to elicit increases in [T] as they engage a greater amount of muscle mass (Bosco et al., 1996a; Bosco et al., 1996b; Ratames et al., 2005).
Intense exercise is linked to endogenous testosterone release and concurs with the time main effect seen in Figure 3. (Bosco et al., 1996a; Bosco et al., 1996b; Ratames et al., 2005). Two lower body resistive exercise protocols were compared for changes in [T] (Ratames et al., 2005). In a randomized order, subjects performed a single- and six-set squat workout. Results included significant increases in [T] for the six-, but not the single-set, squat workout. It was concluded the volume of exercise from the single-set workout was insufficient to raise testosterone levels over time (Ratames et al., 2005). Perhaps differences in inter-workout results for [T] between the prior (Ratames et al., 2005) and current studies are due to the relative similarity of the exercise bouts examined in our trial. Other high-intensity exercise paradigms saw increases in [T]. A 60-second vertical jump test significantly raised free and total [T] by 13 and 12% respectively (Bosco et al., 1996a). Serum [T] were also significantly correlated to vertical jump and sprint performance (Bosco et al., 1996b). Thus our main effect for time concur with results (Bosco et al., 1996a; Bosco et al., 1996b; Ratames et al., 2005) that saw similar [T] increases in response to high-intensity multi-joint physical activity paradigms.
Current study exercise bouts produced an approximate 5% increase in [T] regardless of the leg press workout examined. Such increases are very comparable to monthly 125 mg injections of long-acting testosterone enanthate given to healthy young men (Bhasin et al., 2001). Concurrent to injections that ceased endogenous secretion of the hormone so that subjects were completely reliant on external sources, testosterone was administered as muscle mass and strength changes were recorded. After 16 weeks, during which they refrained from resistance exercise and moderate-to-heavy aerobic activity, their [T] increased by approximately 5%. Such increases also evoked significant gains in fat free mass and quadriceps volume (Bhasin et al., 2001).
Acute responses to each of our workouts led to similar [T] elevations. Since such 5% increases over time led to muscle mass gains (Bhasin et al., 2001) and injectable testosterone is associated with health risks, frequent bouts of high-intensity in-flight FWED workouts may be a more prudent choice to reduce muscle mass and strength losses. However, since exercise leads to rapid but only temporary increases in [T] (Liu et al., 2009), the frequency of flywheel-based workouts in μg should be higher than when similar protocols are done in 1-g (Rantalainen and Klodowski, 2011; Umemura et al., 2002). Such exercise bouts would inevitably entail application of high muscle/reaction forces that characterize resistive exercise done in 1-