2007, Piran, Slovenia

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Environmental Ergonomics XII Igor B. Mekjavic, Stelios N. Kounalakis & Nigel A.S. Taylor (Eds.), © BIOMED, Ljubljana <strong>2007</strong> Figure 2: The relationship between sweat rate and sweat sodium loss during incremental steady-state exercise. Data are points for individuals at each work rate, with a single linear function, and its 99% confidence limits. REFERENCES Allan, J.R., and Wilson, C.G. (1971). Influence of acclimatization on sweat sodium concentration. J. Appl. Physiol. 30:708-712. Cage, G.W., and Dobson, R.L. (1965). Sodium secretion and reabsorption in the human eccrine sweat gland. J. Clin. Invest. 44:1270-1276. Patterson M.J., Galloway, S.D., Nimmo, M.A. (2000). Variations in regional sweat composition in normal human males. Exp. Physiol. 85:869-875. Robinson, S. and Robinson, A.H. (1954). Chemical composition of sweat. Physiol. Rev. 34:202-220. 300
Sweating THE SWEAT SECRETION AND SODIUM LOSS QUADRANT: A CONCEPT FOR PREDICTING HYDRATION REQUIREMENTS. Nigel A.S. Taylor, Anne M.J. van den Heuvel, Lara S van den Wijngaart Human Performance Laboratories, University of Wollongong, Wollongong, Australia Contact person: nigel_taylor@uow.edu.au INTRODUCTION It is well known that, for some physically-demanding occupations and some long-duration athletic pursuits, individuals must consider not just fluid replacement, but also electrolyte replacement. Of the solutes contained within sweat, sodium and chloride are dominant (Patterson et al., 2000). However, whilst one can easily determine water replacement on the basis of mass changes, it can be difficult to determine, in the absence of sophisticated analysis equipment, how much sodium an individual should replace. It occurred to us that one may be able to predict this simply on the basis of the steady-state exercise intensity (heart rate), and herein we report how one may achieve such a prediction. Our predictive model uses a novel application, and the interaction, of four well-established physiological relationships. First, it has long been known that oxygen uptake increases linearly with increments in work rate and heart rate (Astrand and Ryhming, 1954). Second, since exercise results in the predictable liberation of thermal energy, then body core temperature is intrinsically linked with oxygen uptake (Saltin and Hermansen, 1966). Third, sweat rate increases curvilinearly with core temperature elevation (Wyndham, 1967). Finally, sweat sodium loss displays a positive linear relationship with sweat rate (Cage and Dobson, 1965). From this knowledge, it becomes possible, once one has determined the typical operating heart rate, to predict the oxygen uptake, core temperature, and eventually the sweat rate and sodium loss associated with various exercise and thermal steady states. Of course, such a prediction, like all mathematical models, is inherently imprecise. However, its predictive precision can be increased if one applies the physiological characteristics of the population sample that is most closely related to the individuals in question. For example, to more effectively define these physiological characteristics, one must consider the gender, age, endurance fitness and heat adaptation status of the individual, and also the environmental conditions in which the individual is working. Even with these characteristics defined, the prediction of sweat rate and sodium loss will remain somewhat imprecise. Nevertheless, one hopes that such a prediction may have some utility, particularly when applied to homogenous groups of individuals. If we are proven to be incorrect on all counts, then at least we had fun doing the experiments. METHODS Six fully-hydrated and unacclimatised, young women participated in two cycling trials, conducted at the same time of day, in a heated climate-controlled chamber (36 o C, 50% relative humidity). Within each trial, subjects were exposed to a series of three step increases in work rate, designed to elicit steady-state heart rates between 120-170 beats.min -1 . The first work rate was set to obtain a heart rate of 120 beats.min -1 (30 min), while the order of next two work rates was randomised within each trial (25 min): trial 1: 120, 140, 170 beats.min -1 ; trial 2: 120, 150, 160 beats.min -1 . Subjects rested for 5 min between successive steps. Trials were scheduled during the follicular phase of the menstrual cycle. Subjects were asked to refrain from strenuous exercise and the consumption of alcohol and tobacco during the 12 h before to each trial. Prior to testing, subjects were instructed to drink 15 mL.kg -1 of additional 301
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ENVIRONMENTAL ERGONOMICS XII Procee
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ENVIRONMENTAL ERGONOMICS XII Procee
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International Conferences on Enviro
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TABLE OF CONTENTS Table of contents
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Table of contents ALTITUDE ATTENUAT
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Table of contents TOWARDS PREVENTIO
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Table of contents RATE AFFECT EXERC
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Table of contents Uroš Dobnikar, S
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Table of contents TO A HOT ENVIRONM
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Table of contents Andreas D. Flouri
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Table of contents PHYSICAL FITNESS
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Table of contents ESTIMATION OF THE
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Herman Potocnic Lecture the advanta
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Invited presentation Gravitational
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Gravitational Physiology SKELETAL M
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Lf (mm) 50.0 40.0 30.0 20.0 10.0 Fa
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Gravitational Physiology maximum is
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Gravitational Physiology THERMOREGU
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Gravitational Physiology THE EXERCI
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Gravitational Physiology Since exer
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Gravitational Physiology During the
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Gravitational Physiology CARDIOVASC
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as observed at rest after LBNP was
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Gravitational Physiology THERMOREGU
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Gravitational Physiology THE EFFECT
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Gravitational Physiology Fortney SM
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Gravitational Physiology Contractil
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Gravitational Physiology Edgerton V
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Diving Physiology A library of imag
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Diving Physiology Information recal
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Diving Physiology RESULTS Figure 1
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Diving Physiology sensitivity is no
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Diving Physiology Physiological Mea
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Diving Physiology same sequence. Th
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Diving Physiology HYPERVENTILATION
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Diving Physiology software. Individ
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Diving Physiology REFERENCES IMCA.
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Diving Physiology recorded (MIE Med
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Diving Physiology DISCUSSION The ma
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Altitude Physiology vastus laterali
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Altitude Physiology IS INTERMITTENT
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Altitude Physiology Table 2: Lactat
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Altitude Physiology CARBOHYDRATE IN
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Altitude Physiology Figure 1: Mean
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Altitude Physiology HYPOXIA INDUCED
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Altitude Physiology Figure 1. Mean
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Altitude Physiology ANALYSIS OF MUS
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SOL MG TA BF VM Altitude Physiology
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Altitude Physiology LOAD CARRIAGE I
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Table 2: Differential ratings of pe
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Altitude Physiology EFFECTS OF INTE
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Cerebral deoxy-Hb (delta, µM) Cere
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Altitude Physiology ENDURANCE RESPI
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Altitude Physiology Wylegala JA, Pe
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Invited presentation Cognitive and
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Cognitive and Psycophysiological Fu
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Cognitive and psychophysiological f
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CLOTHING AND TEXTILE SCIENCE 131
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Clothing SPACER FABRICS IN OUTDOOR
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F i / g m -2 4,0 3,5 3,0 2,5 2,0 1,
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Clothing TOTAL EVAPORATIVE RESISTAN
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9,0 8,0 7,0 6,0 5,0 4,0 3,0 2,0 1,0
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Clothing DIFFERENCES IN CLOTHING IN
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Clothing parallel It values ranged
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Clothing CORRELATION BETWEEN SUBJEC
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Clothing and left side chest, scapu
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Clothing studies using an ice vest
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Insulation (Clo) (Clo) Clo / kg 6 5
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Clothing EFFECTS OF MOISTURE TRANSP
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Clothing the P plots above 60%RH (p
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Clothing EFFECT OF CLOTHING INSULAT
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Clothing EFFECTS OF QUILT AND MATTR
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38 33 28 23 18 0 30 60 90 120 150 m
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Clothing German) were measured, and
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Clothing Metabolism decreased and w
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Clothing Table 1. Comparison of ski
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Clothing PHYSIOLOGICAL RESPONSES AT
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Clothing underwear at 25 °C in per
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Clothing REDUCTION OF HEAT STRESS I
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Clothing THE INTERACTION BETWEEN PH
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Relative humidity (%) Clothing Figu
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Clothing DEVELOPMENT OF THE “WEAR
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Clothing EFFECTS OF AIR GAPS UNDER
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Temper at ur e( ˇ ć) 28.5 27.5 26
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Personal protective equipment Invit
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Personal protective equipment fabri
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Personal protective equipment PHYSI
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Mean skin temperature (ºC) 38.0 37
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Personal protective equipment the S
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Personal protective equipment DISCU
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Personal protective equipment Final
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Personal protective equipment REFER
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Personal protective equipment Tc wa
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Personal protective equipment level
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F i / g m -2 300 250 200 150 100 50
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h M / % 90 80 70 60 50 40 activity
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Personal protective equipment 0.05
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Personal protective equipment was u
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Personal protective equipment THERM
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Personal protective equipment the s
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Personal protective equipment the c
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Personal protective equipment wette
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Table 1 1. Properties of the tested
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Personal protective equipment HEAT
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Personal protective equipment Profi
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Personal protective equipment PHYSI
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Personal protective equipment REDUC
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39.0 38.5 38.0 37.5 37.0 36.5 40.0
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Personal protective equipment EXERC
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Personal protective equipment appro
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Personal protective equipment Table
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Personal protective equipment reduc
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Invited presentation Non-thermal fa
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Non-thermal factors heat loss by al
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Non-thermal factors DOES A FATIGUE-
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Non-thermal factors cycling, despit
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Page 267 and 268: Sweating Table 1: Sweat gland count
Page 269 and 270: Sweating Taylor, N.A.S. (2000). Reg
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Page 281 and 282: Sweating In addition local sweating
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Page 289 and 290: Sweating SWEATY HANDS: DIFFERENCES
Page 291 and 292: Sweating Figure 2: Inter-site sweat
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Page 295 and 296: Sweating Figure 2: Inter-site sweat
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Page 299: Sweating RESULTS On average, the ma
Page 303 and 304: Sweating Figure 1: A quadrant diagr
Page 305 and 306: Invited presentation FINGER COLD IN
Page 307 and 308: Cold physiology INTRA-INDIVIDUAL DI
Page 309 and 310: Cold physiology number was estimate
Page 311 and 312: Cold physiology cold receptors decr
Page 313 and 314: Cold physiology EFFECT OF URAPIDIL
Page 315 and 316: Cold physiology THE EFFECT OF EXERC
Page 317 and 318: TRAINABILITY OF COLD INDUCED VASODI
Page 319 and 320: Cold physiology REFERENCES Adams, T
Page 321 and 322: Cold physiology THE EFFECT OF REPEA
Page 323 and 324: Cold physiology THE EFFECT OF ALTIT
Page 325 and 326: Cold physiology SKIN SURFACE MENTHO
Page 327 and 328: Cold physiology COGNITIVE PERFORMAN
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Page 331 and 332: Cold water immersion REFERENCES Mek
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Page 337 and 338: Cold water immersion were: 1 metre
Page 339 and 340: Cold water immersion surf beaches.
Page 341 and 342: Cold water immersion Table 1. Break
Page 343 and 344: Cold water immersion ARM INSULATION
Page 345 and 346: Cold water immersion RESULTS Experi
Page 347 and 348: Cold water immersion thermogenesis
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Cold water immersion REFERENCES And
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Thermal comfort THERMAL SENSATIONS
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Exer - cise PC Wind (m·s -1 ) 0 ne
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Thermal comfort and heart rate usin
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Thermal comfort A NEW METHOD FOR EV
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Thermal comfort DEVELOPMENT OF AN I
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Thermal comfort DISCUSSION This new
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Thermal comfort limit of exposure d
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Table 2: Statistical summary. Gende
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Thermal comfort comfortable”), wh
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Thermal comfort RELATION BETWEEN TH
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Thermal comfort Figure 2. Skin wett
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Thermal comfort THE EVALUATION OF T
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Temp.ˇ ]˘ Jˇ ^ 42 40 38 36 34 32
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time(min) Thermal comfort WHY DO JA
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Thermal comfort TCT : THERMAL COMFO
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Thermal comfort INTERNATIONAL STAND
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Acute and chronic heat exposure PHY
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Acute and chronic heat exposure Fig
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Acute and chronic heat exposure EFF
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Acute and chronic heat exposure 2.2
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Acute and chronic heat exposure EFF
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Acute and chronic heat exposure A N
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Acute and chronic heat exposure of
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Acute and chronic heat exposure PHY
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Acute and chronic heat exposure Tab
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Acute and chronic heat exposure INT
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probability plot 99 95 80 60 40 20
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Acute and chronic heat exposure HAN
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Acute and chronic heat exposure ALL
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Acute and chronic heat exposure Tab
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Acute and chronic heat exposure UNC
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Thermal Sensation Scale 10 9 8 7 6
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Acute and chronic heat exposure RES
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Acute and chronic heat exposure eve
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Acute and chronic heat exposure 30%
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Acute and chronic heat exposure REF
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RADIANT FLOW THROUGH BICYCLE HELMET
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Figure 2. Difference in heat transf
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Manikins DEVELOPMENT OF A LYING DOW
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IT = 6.45( _ ,Tsk - _ ,Tair)/(Q/A)
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Manikins cases. If the body is even
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Heat balance components 100% 80% 60
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Manikins clothing system. This effe
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Manikins The coupled system was val
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Manikins A NOVEL APPROACH TO MODEL-
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Manikins THERMAL MANIKIN EVALUATION
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SR (g/min) Figure 2. Predictive mod
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ESTIMATION OF COOLING EFFECT OF ICE
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Manikins Figure 3: Comparison among
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Manikins EVALUATION OF THE ARMY BOO
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Ty [Nm] 60 50 40 30 20 10 0 0 5 10
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Manikins different black 100% cotto
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Manikins REFERENCES Bogerd, C.P., H
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Modelling RESULTS From this kind of
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Modelling (T , T , V& , ) = 1. 0 +
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NORMALIZED CVCL 8 7 6 5 4 3 2 1 0 M
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Modelling illustrated in Figure 1.
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Modelling MODELLING PATIENT TEMPERA
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Modelling Figure 1: Blood and mean
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Modelling simulations the additiona
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Modelling Table 1. Descriptive summ
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Modelling concomitant increase in b
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Modelling REFERENCES 1. U.S. Depart
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Modelling from the 1988 population.
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Modelling somatotypes in multivaria
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Modelling Each scan data was first
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Modelling The line through the data
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Hip( width) −Waist ( width ) HW
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Modelling measurements are extracte
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Measurement methods not included in
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Measurement methods humidity. The o
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Measurement methods DISCUSSION Base
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Air film Skin surface Skin layer δ
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Measurement methods and calculated
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Rectal temperature ( o C) 39.5 39.0
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Measurement methods work rates, and
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Measurement methods HUMIDEX: CAN TH
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Measurement methods highlighted. In
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Invited presentation Universal Ther
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Universal Thermal Climate Index dat
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Universal Thermal Climate Index DYN
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Universal Thermal Climate Index DIS
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Universal Thermal Climate Index COM
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Skin temperature (°C) Universal Th
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Universal Thermal Climate Index PRO
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Universal Thermal Climate Index The
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Universal Thermal Climate Index ASS
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Universal Thermal Climate Index ima
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Universal Thermal Climate Index min
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Working environment EFFECTS OF LIGH
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Working environment It is interesti
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30 25 20 15 10 5 0 25 12 Working en
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Working environment ERGONOMICS OPTI
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Working environment astigmatism, an
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Working environment RESULTS The hig
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Working environment hearing protect
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Working environment Redistribution
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Working environment DISCUSSION Thes
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Working Environment over the phone
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Working Environment DISCUSSION Diff
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Working Environment results, conclu
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Working Environment BP as the refer
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Working Environment significantly a
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Working Environment responses betwe
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Working Environment Casualty handli
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Working Environment REFERENCES Davi
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Working Environment RESULTS The sub
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Temperature (C) 35 33 31 29 27 25 2
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Working Environment METHODS Student
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Working Environment ANTHROPOGENIC I
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Working Environment RESULTS The res
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Employment Standards VISUAL ACUITY
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Employment Standards Results are pr
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Employment Standards to spend free
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Occupational Thermal Problems and d
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Occupational Thermal Problems HEAT
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Occupational Thermal Problems some
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Occupational Thermal Problems HORSE
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Occupational Thermal Problems range
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Occupational Thermal Problems PHYSI
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Occupational Thermal Problems DISCU
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Occupational Thermal Problems recom
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DLEmin [hours] 7,0 6,0 5,0 4,0 3,0
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Occupational Thermal Problems EFFEC
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Occupational Thermal Problems PERIP
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Occupational Thermal Problems durin
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Occupational Thermal Problems PRODU
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Time (hours) 4 3,5 3 2,5 2 1,5 1 0,
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Occupational Thermal Problems (Suun
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Occupational Thermal Problems highl
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Occupational Thermal Problems and o
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1) estimated (208 - 0.7 x age) *P
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Occupational Thermal Problems of a
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Occupational Thermal Problems tempe
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Table 1: Environmental conditions o
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Occupational Thermal Problems The h
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Occupational Thermal Problems RESUL
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Occupational Thermal Problems PHYSI
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Occupational Thermal Problems corre
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Occupational Thermal Problems DEVEL
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Occupational Thermal Problems All i
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A Adolfsson Niklas 540 Ainslie Phil
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Kim Myung-Ju 409 Kim Taegyou 189 Kl
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Sormunen Erja 599 Spindler Uli 145
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SPONSOR 641
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2007, Piran, Slovenia

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