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  • 1
    Electronic Resource
    Electronic Resource
    Environmental impact on crew of armoured vehicles: Effects of 24 h combat exercise in a hot desert (1995)
    Springer
    International journal of biometeorology 39 (1995), S. 64-68 
    Details
    ISSN: 1432-1254
    Keywords: Environmental factors ; Heat ; Combat exercise ; Hypohydration ; Physiological strain
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geography , Physics
    Notes: Abstract A field study was undertaken to investigate the effects of combined noise, vibration and heat stress on the physiological functions of the crew of armoured vehicles during prolonged combat exercise in a desert. The sound pressure level of noise was measured with a sound level meter and accelerations by vibration analyser. The thermal load on the crew was evaluated by calculating the wet bulb globe temperature index. The physiological responses of the subjects (n=9), included significant increases in the heart rate, 24 h water intake and urinary catecholamine concentration. A significant decrease was recorded in body mass, peak expiratory flow rate and 24 h urinary output. The high heat load on the crew resulted in a hypohydration of 3% body mass and appeared to be the dominant factor in producing the physiological strain.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01212582
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    Effect of chronic and acute exposure to noise on physiological functions in man (1982)
    Springer
    International archives of occupational and environmental health 50 (1982), S. 169-174 
    Details
    ISSN: 1432-1246
    Keywords: Noise level ; Blood pressure ; Heart rate ; Chronic noise exposure
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Summary Physiological parameters have been compared in 75 normal healthy individuals exposed to occupational noise of 88–107 dB (A) (6–8h/day) for 10–15 years and in 36 normal non-exposed subjects. Blood pressure, both systolic (P〈0.01) and diastolic (P〈0.001), and heart rate (P〈0.05) were found to be significantly higher in the exposed subjects. Irregularity in cardiac rhythm, both in amplitude and duration, was found in 18% of the exposed subjects as against 6% in the non-exposed group. Variation in the heart rate during acute noise exposure of 90 dB (A) has been shown to be related with the preponderance of tonicity of sympathetics and parasympathetics. Measurement of hand blood flow during the same exposure showed a lesser degree of vasoconstriction and a slower recovery rate in the exposed group. Altered observations in the exposed group could be attributed to changes in the mechanical property of blood vessels.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00378078
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    Paper (German National Licenses)
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  • 3
    Electronic Resource
    Electronic Resource
    Estimation of body density and lean body weight from body measurements at high altitude (1977)
    Springer
    European journal of applied physiology 36 (1977), S. 141-150 
    Details
    ISSN: 1439-6327
    Keywords: Body density ; Anthropometry ; High altitude
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract Body density and other anthropometric data were obtained on 101 Indian soldiers who were continuously staying at high altitude (3920 m) for more than 10 months. Use was made of a human body volumeter, and body density was calculated from observed body weight and volume. Measurements were taken on the body using standard techniques. A stepwise linear regression analysis was performed to establish possible relationships of 36 body measurements with density and lean body weight. Thigh anterior, juxta-nipple skin folds and forearm and ankle circumferences were selected in the regression equation predicting body density. Multiple correlation coefficient (R) equal to 0.765 was obtained for this equation. For the predicted lean body weight, R equalled 0.930. The regression equations included body weight, thigh anterior and juxta-nipple skin fold thicknesses, and forearm circumference. Contribution of other body measurements in the regression of these parameters was not significant. The analysis also revealed that a new set of coefficients is required for the measurements included in the published regression equations.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00423121
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    Paper (German National Licenses)
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  • 4
    Electronic Resource
    Electronic Resource
    Prediction of body volume by a stepwise linear regression technique (1983)
    Springer
    European journal of applied physiology 52 (1983), S. 126-130 
    Details
    ISSN: 1439-6327
    Keywords: Stepwise linear regression analysis ; Multiple correlation coefficient ; Anthropometric measurements ; Body volume ; Analysis of variance
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Summary Body volume and 35 anthropometric measurements were obtained from 88 active soldiers using standard techniques. These anthropometric measurements were examined for their possible relationships to body volume using stepwise linear regression analysis. Four measurements (Body weight, anterior thigh skinfold thickness, subscapular skinfold thickness and suprailiac skinfold thickness) accounted for 99.7% of the variation in body volume and the introduction of each of these measurements in the equation was significant. The regression equation for predicting body volume from these 4 anthropometric measurements had a multiple correlation coefficient of 0.9987 (p〈0.001). Body weight alone was correlated with body volume to the extent of 0.9966. An attempt has therefore been made to develop a multiple linear regression equation without incorporation of body weight in the regression analysis. Nine measurements were selected by stepwise linear regression analysis for predicting body volume. These nine measurements accounted for 97.1% of the variation in body volume. These equations have been validated on another small sample of 22 soldiers. The analysis has also revealed that a direct regression of body density from the anthropometric variables gives more accurate results than when estimated body volumes are utilized for calculating body density.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00429039
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    Paper (German National Licenses)
    Fulltext
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