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Dive into the research topics where Daniel A. Goodman is active.

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Featured researches published by Daniel A. Goodman.


Journal of Applied Physiology | 2009

Expanded prediction equations of human sweat loss and water needs

Richard R. Gonzalez; Samuel N. Cheuvront; Scott J. Montain; Daniel A. Goodman; Laurie A. Blanchard; Larry G. Berglund; Michael N. Sawka

The Institute of Medicine expressed a need for improved sweating rate (msw) prediction models that calculate hourly and daily water needs based on metabolic rate, clothing, and environment. More than 25 years ago, the original Shapiro prediction equation (OSE) was formulated as msw (g.m(-2).h(-1))=27.9.Ereq.(Emax)(-0.455), where Ereq is required evaporative heat loss and Emax is maximum evaporative power of the environment; OSE was developed for a limited set of environments, exposures times, and clothing systems. Recent evidence shows that OSE often overpredicts fluid needs. Our study developed a corrected OSE and a new msw prediction equation by using independent data sets from a wide range of environmental conditions, metabolic rates (rest to <or=450 W/m2), and variable exercise durations. Whole body sweat losses were carefully measured in 101 volunteers (80 males and 21 females; >500 observations) by using a variety of metabolic rates over a range of environmental conditions (ambient temperature, 15-46 degrees C; water vapor pressure, 0.27-4.45 kPa; wind speed, 0.4-2.5 m/s), clothing, and equipment combinations and durations (2-8 h). Data are expressed as grams per square meter per hour and were analyzed using fuzzy piecewise regression. OSE overpredicted sweating rates (P<0.003) compared with observed msw. Both the correction equation (OSEC), msw=147.exp (0.0012.OSE), and a new piecewise (PW) equation, msw=147+1.527.Ereq-0.87.Emax were derived, compared with OSE, and then cross-validated against independent data (21 males and 9 females; >200 observations). OSEC and PW were more accurate predictors of sweating rate (58 and 65% more accurate, P<0.01) and produced minimal error (standard error estimate<100 g.m(-2).h(-1)) for conditions both within and outside the original OSE domain of validity. The new equations provide for more accurate sweat predictions over a broader range of conditions with applications to public health, military, occupational, and sports medicine settings.


Medicine and Science in Sports and Exercise | 2009

Prior Heat Stress: Effect on Subsequent 15-min Time Trial Performance in the Heat

Robert W. Kenefick; Brett R. Ely; Samuel N. Cheuvront; Laura J. Palombo; Daniel A. Goodman; Michael N. Sawka

UNLABELLED The impact of prior heat stress on subsequent aerobic exercise-heat performance has not been studied. PURPOSE To determine whether prior heat stress degrades subsequent aerobic exercise performance in the heat. METHODS Eighteen nonheat acclimated males were trained (four practice trials) on an aerobic exercise performance test in 22 degrees C and then divided into two (n = 8) groups. One group (EUHPH; (.)VO2peak = 44 +/- 7 mL x kg x min(-1)) was tested after 90 min of recovery (in 22 degrees C) from 3 h of intermittent light-intensity (<30% (.)VO2peak) exercise-heat (50 degrees C) stress, where sweat losses were matched with fluid intake (3.5 +/- 0.5 L) to maintain euhydration. The other group (EUH; (.)VO2peak = 45 +/- 5 mL x kg x min(-1)) was tested while euhydrated without prior exercise-heat stress. Aerobic performance was determined from a 30-min cycling preload (50% (.)VO2peak) followed by a 15-min time trial in 40 degrees C. Total work during the 15-min performance time trial in EUH and EUHPH was compared, as were the percent changes from the best practice trials. RESULTS Volunteers were euhydrated (plasma osmolality < 290 mOsm x kg(-1)) and normothermic before each exercise-heat trial. Heart rate and core temperature were not different (P > 0.05) between groups at any time point during exercise. Total work was not different (P > 0.05) at baseline or between EUH (150.5 +/- 28.3 kJ; 2.0 +/- 0.3 kJ x kg(-1)) and EUHPH (160.3 +/- 24.0 kJ; 1.8 +/- 0.2 kJ x kg(-1)). The percent change in total work relative to baseline was not different (P > 0.05) between EUH (-18.7% +/- 9.2%) and EUHPH (-15.0% +/- 7.8%). CONCLUSIONS If hydration and body temperatures recover, prior exercise-heat stress does not result in a greater degradation in aerobic time trial performance in the heat compared with heat exposure alone.


Medicine and Science in Sports and Exercise | 2009

Influence of Sensor Ingestion Timing on Consistency of Temperature Measures

Daniel A. Goodman; Robert W. Kenefick; Bruce S. Cadarette; Samuel N. Cheuvront

PURPOSE The validity and the reliability of using intestinal temperature (T int) via ingestible temperature sensors (ITS) to measure core body temperature have been demonstrated. However, the effect of elapsed time between ITS ingestion and T int measurement has not been thoroughly studied. METHODS Eight volunteers (six men and two women) swallowed ITS 5 h (ITS-5) and 29 h (ITS-29) before 4 h of varying intensity activity. T int was measured simultaneously from both ITS, and T int differences between the ITS-5 and the ITS-29 over the 4 h of activity were plotted and compared relative to a meaningful threshold of acceptance (+/-0.25 degrees C). The percentage of time in which the differences between paired ITS (ITS-5 vs ITS-29) were greater than or less than the threshold of acceptance was calculated. RESULTS T int values showed no systematic bias, were normally distributed, and ranged from 36.94 degrees C to 39.24 degrees C. The maximum T int difference between paired ITS was 0.83 degrees C with a minimum difference of 0.00 degrees C. The typical magnitude of the differences (SE of the estimate) was 0.24 degrees C, and these differences were uniform across the entire range of observed temperatures. Paired T int measures fell outside of the threshold of acceptance 43.8% of the time during the 4 h of activity. CONCLUSIONS The differences between ITS-5 and ITS-29 were larger than the threshold of acceptance during a substantial portion of the observed 4-h activity period. Ingesting an ITS more than 5 h before activity will not completely eliminate confounding factors but may improve accuracy and consistency of core body temperature.


Medicine and Science in Sports and Exercise | 2008

Serum S-100β Response to Exercise-Heat Strain before and after Acclimation

Samuel N. Cheuvront; Troy D. Chinevere; Brett R. Ely; Robert W. Kenefick; Daniel A. Goodman; James P. McClung; Michael N. Sawka

UNLABELLED Exercise alone or in combination with environmental heat stress can elevate blood S-100beta protein concentrations. However, the explanatory power of exercise with marked environmental heat stress on the appearance of S-100beta is questionable. It is possible that the process of heat acclimation might afford additional insight. PURPOSE Determine the S-100beta response to moderate-intensity exercise with heat strain before and after heat acclimation. METHODS Nine healthy male volunteers completed 10 consecutive days of heat acclimation consisting of up to 100 min of treadmill walking (1.56 m x s(-1), 4% grade) in the heat (45 degrees C, 20% relative humidity). Changes in HR, rectal temperature (T(re)), and sweat rate (SR) were examined to determine successful acclimation. Area under the curve (AUC) for T(re) greater than 38.5 degrees C was calculated to assess cumulative hyperthermia. Blood samples were taken before and after exercise on days 1 and 10 and were analyzed for serum osmolality and S-100beta concentration. RESULTS All subjects displayed physiological adaptations to heat acclimation including a significant (P < 0.05) reduction in final HR (161 to 145 bpm) and T(re) (39.0 to 38.4 degrees C), as well as a modest (approximately 10%) increase in SR (1.10 to 1.20 L x h(-1); P = 0.09). No differences were observed in pre- to postexercise serum S-100beta concentrations on day 1 or 10, and no differences were observed in S-100beta values between days 1 and 10. No significant correlations were found between S-100beta values and any variable of interest. CONCLUSIONS S-100beta concentrations do not necessarily increase in response to exercise-heat strain, and no effect of heat acclimation on S-100beta could be observed despite other quantifiable physiological adaptations.


European Journal of Applied Physiology | 2008

Efficacy of body ventilation system for reducing strain in warm and hot climates

Troy D. Chinevere; Bruce S. Cadarette; Daniel A. Goodman; Brett R. Ely; Samuel N. Cheuvront; Michael N. Sawka


European Journal of Applied Physiology | 2007

Evaluation of the limits to accurate sweat loss prediction during prolonged exercise

Samuel N. Cheuvront; Scott J. Montain; Daniel A. Goodman; Laurie A. Blanchard; Michael N. Sawka


European Journal of Applied Physiology | 2008

Impact of a protective vest and spacer garment on exercise-heat strain.

Samuel N. Cheuvront; Daniel A. Goodman; Robert W. Kenefick; Scott J. Montain; Michael N. Sawka


Archive | 2008

Physiological Responses to Exercise-Heat Stress With Prototype Pulsed Microclimate Cooling System

Bruce S. Cadarette; Troy D. Chineverse; Brett R. Ely; Daniel A. Goodman; Brad Laprise; Walter Teal; Michael N. Sawka


Medicine and Science in Sports and Exercise | 2008

Validation of the ICDA Model for Predicting Body Core Temperature: 2056

David W. DeGroot; Daniel A. Goodman; Scott J. Montain; Samuel N. Cheuvront


Archive | 2008

Soldier Protection Demonstration III - Field Testing and Analysis of Personal Cooling Systems for Heat Mitigation

Daniel A. Goodman; Jorge Diaz; Bruce S. Cadarette; Michael N. Sawka

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Samuel N. Cheuvront

United States Army Research Institute of Environmental Medicine

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Michael N. Sawka

United States Army Research Institute of Environmental Medicine

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Robert W. Kenefick

United States Army Research Institute of Environmental Medicine

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Brett R. Ely

United States Army Research Institute of Environmental Medicine

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Laurie A. Blanchard

United States Army Research Institute of Environmental Medicine

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Scott J. Montain

United States Army Research Institute of Environmental Medicine

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Bruce S. Cadarette

United States Army Research Institute of Environmental Medicine

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Troy D. Chinevere

United States Army Research Institute of Environmental Medicine

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James P. McClung

United States Army Research Institute of Environmental Medicine

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