Fitness, blood, and urine measurements from the 2009 European astronaut selection medical examination.

INTRODUCTION: The European Space Agency conducted an astronaut selection campaign in 2008-09 which attracted over 8000 applicants. Of those, 45 made the final assessment stage: the medical examination (MEX). This retrospective, observational study reports exercise and fitness data, lipid profiles and other results of interest from the blood and urine samples of this niche subpopulation. METHODS: All the applicants that reached the MEX completed a Bruce protocol test and a standard blood draw (12 h of fasting, water intake was ad libitum) was collected together with a 24-h urine collection. All the results were compared to either a comparative population or reference range. RESULTS: The applicants had comparable fitness levels to the 90th percentile of their age group. The lipid profiles were observed to be within the 'optimal' or 'desirable' ranges. Bilirubin and creatinine clearance were measured at 1.2 (+/- 0.40) mg x dl(-1) and 131.0 (+/- 25.81) ml x min(-1), respectively, and both were shown to be significantly higher than their respective normative ranges, while urinary creatinine (0.65 (+/- 0.19) g x L(-1)) was significantly lower than the reference range. DISCUSSION: Overall, the results from the Bruce protocol and lipid profile show that the final round applicants were in good health and physically active. The most likely cause of the elevated bilirubin and creatinine levels was 'last-minute' exercise conducted by the final round applicants before the MEX and the low levels of urinary creatinine may be attributed to drinking high quantities of water with an associated hypovolemia, diluting the urine.

20-Hz whole body vibration training fails to counteract the decrease in leg muscle volume caused by 14 days of 6 degrees head down tilt bed rest.

A 6 degrees head down tilt bed rest (HDT) was used to simulate the effects of muscle unloading in space. We tested whether vibration training (VT) reduces the decrease in leg muscle volume induced by 14 days HDT. In two study phases eight healthy male subjects received both (1) HDT and VT or (2) HDT and a control intervention. Twice daily five intervals of 1 min VT were performed (20 Hz, 2-4 mm) in upright standing position followed by 1 min breaks in seated position. The control intervention included identical procedures except the vibration plate was off. Before and the day after HDT volumes of upper and lower leg muscles were measured using magnetic resonance imaging. HDT combined with control intervention caused a significant (P < 0.05) decrease in the volumes of muscles by -4 to -6.5%. VT failed to counteract the decrease in leg muscle volume induced by HDT.

Aircraft noise effects on sleep: a systematic comparison of EEG awakenings and automatically detected cardiac activations.

Polysomnography is the gold standard for investigating noise effects on sleep, but data collection and analysis are sumptuous and expensive. We recently developed an algorithm for the automatic identification of cardiac activations associated with cortical arousals, which uses heart rate information derived from a single electrocardiogram (ECG) channel. We hypothesized that cardiac activations can be used as estimates for EEG awakenings. Polysomnographic EEG awakenings and automatically detected cardiac activations were systematically compared using laboratory data of 112 subjects (47 male, mean+/-SD age 37.9+/-13 years), 985 nights and 23,855 aircraft noise events (ANEs). The probability of automatically detected cardiac activations increased monotonically with increasing maximum sound pressure levels of ANEs, exceeding the probability of EEG awakenings by up to 18.1%. If spontaneous reactions were taken into account, exposure-response curves were practically identical for EEG awakenings and cardiac activations. Automatically detected cardiac activations may be used as estimates for EEG awakenings. More investigations are needed to further validate the ECG algorithm in the field and to investigate inter-individual differences in its ability to predict EEG awakenings. This inexpensive, objective and non-invasive method facilitates large-scale field studies on the effects of traffic noise on sleep.