23. Melanson KJ, McInnis KJ, Rippe JM, Blackburn G, Wilson PF. Obesity and cardiovascular disease risk: research update. Cardiol Rev 2001; 9(4): 202-7. 24. Nguyen HQ, Ackermann RT, Berke EM, et al. Impact of a managed-medi- care physical activity benefit on health care utilization and costs in older adults with diabetes. Diabetes Care 2007; 30: 43-8. 25. Pedesen BK. Body mass index: an independent effect of fitness and physical activity for all cause mortality. Scand J Med Sci Sports 2007; 17(3); 196-204. 26. Pelletier KR. A review and analysis of the clinical and cost-effectiveness studies of comprehensive health promotion and disease management programs at the worksite: update VI 2000-2004. J Occup Environ Med 2005; 47: 1051-58. 27. Pelletier B, Boles M, Lynch W. Change in health risks and work productiv- ity over time. J Occup Environ Med 2004; 46: 746-54. 28. Ravussin E, Bogardus C. A brief overview of human energy metabolism and its relationship to essential obesity. Am J Clin Nutr 1992; 55: 242S- 45S. 29. Rodgers A, Ezzati M, Van der Hoorn S, Lopez AD, Ruey-Bin L, Murray CJL. Comparative Risk Assessment Collaborating Group. Distribution of Major Health Risks: Findings from the Global Burden of Disease Study. 2004; PLoS Med 1(1): e27. 30. Serxner SA, Gold DB, Grossmeier JJ, Anderson DR. The relationship be- tween health promotion program participation and medical costs: a dose response. J Occup Environ Med 2003; 45: 1196-200. 31. Shephard RJ. A critical analysis of worksite fitness programmes and their postulated economic benefits. Med Sci Sports Exerc 1992; 24; 354-70. 32. Song Y, Manson JE, Meigs JB, Ridker PM, Buring JE, Liu S. Comparison of usefulness of body mass index versus metabolic risk factors in predict- ing 10-year risk of cardiovascular events in women. Am J Cardiol 2007; 100(11): 1654-8. 33. Stein AD, Shakour SK, Zuidema RA. Financial incentives, participation in employer-sponsored health promotion, and changes in employee health and productivity: HealthPlus Health Quotient Program. J Occup Environ Med 2000; 42: 1148-55. 34. Telford RD. Low physical activity and obesity: causes of chronic disease or simply predictors? Med Sci Sports Exerc 2007; 39(8):1233-40. 35. Wang G, Pratt M, Macera CA, Zheng ZJ, Heath G. Physical activity, car- diovascular disease, and medical expenditures in US adults. Ann Behav Med 2004; 28(2): 88-94. 36. Wareham NJ, Rennie KL. The assessment of physical activity in individu- als and populations: why try to be more precise about how physical activ- ity is assessed? Int J Obes Relat Metab Disord 1998; Suppl (2): S30-8. Introduction Exercise testing with respiratory gas collection (RGC) and analysis during indirect calorimetry has long been a routine procedure in ex- ercise physiology laboratories, enabling the simultaneous measure- orIgInal research arTIcle abstract objective. Despite their widespread use in exercise testing, few data are available on the effect of wearing respiratory gas collection (RGC) systems on exercise test performance. Indus- trial-type mask wear is thought to impair exercise performance through increased respiratory dead space, flow resistance and/or discomfort when compared with RGC facemasks, but whether performance decrements exist for RGC facemask wear versus non-wear is unclear. The objective of this study was to evaluate the difference in incremental exercise test performance with and without a RGC system. Incremental exercise test performance with and without a respiratory gas collection system corresPonDence: James R Clark Institute for Sport Research LC de Villiers Sport Centre University of Pretoria 0002 Pretoria South Africa Tel: +27 12 420 6033 Fax: +27 12 420 6099 E-mail: jimmy.clark@up.ac.za James r clark (Bsc (hons), (Ba (hons)) Institute for Sport Research, Department of Biokinetics, Sport and Leisure Sciences, University of Pretoria Design. Twenty moderately active males (age 21.0 ± 1.9 years; VO2peak 55.9 ± 3.0 ml∙kg -1∙min-1) performed two progressive treadmill tests to volitional exhaustion. In random order subjects ran with (MASK) or without (NO-MASK) a RGC facemask and flow sensor connected to a gas analyzer. Descriptive data (mean ± SD) were determined for all parameters. The Wilcoxon signed rank test for paired differences was used to assess mean differ- ences between MASK and NO-MASK conditions. results. Exercise time to exhaustion, peak treadmill speed, peak blood lactate concentration, peak heart rate and rating of per- ceived exertion (RPE) were not different (p>0.05) between MASK and NO-MASK conditions. conclusions. Incremental exercise test performance is not adversely affected by RGC and analysis equipment, at least in short duration progressive treadmill exercise. Respiratory gas analysis during exercise testing for diagnostic, performance assessment or training prescription purposes would appear to be unaffected by RGC systems. 44 saJsM vol 20 no. 2 2008 pg40-48.indd 44 8/11/08 8:49:20 AM ment of respiratory, cardiovascular and metabolic variables.24 In a clinical setting, risk assessment or diagnosis in patients with known or suspected cardiopulmonary disease is aided by data obtained from respiratory gas analysis during exercise.29 In sport science lab- oratories, performance assessment of athletes like runners, cyclists and rowers is frequently performed using respiratory gas analysis to monitor training status, evaluate programme efficacy or formulate in- dividual training recommendations.24 However, practical application of measures such as maximal oxygen uptake (VO2max) and mechani- cal efficiency rely not only on accurate gas analysis during exercise, but also on the premise that RGC does not influence exercise test performance. A range of RGC and analysis systems are available to measure airflow, gas concentrations, and other respiratory variables in the laboratory or field.24 Yet a compulsory element of all systems remains the need for a facemask or mouthpiece to physically sample expired air. Traditionally this involved a mouthpiece and nose clip, but the oro-nasal facemask has become an increasingly common method of gas collection. A frequently encountered query in practice relates to the effect which the wearing of RGC equipment has on exercise test performance. Common criticisms include poor comfort and fit, difficulty breathing and increased anxiety.2,5,10,28 Following exercise testing, many individuals complain of an inability to produce true all-out effort performances while wearing the apparatus needed to assess performance from a respiratory or metabolic perspective (Clark: unpublished observations). Factors implicated in limiting exercise while wearing RGC and analysis systems include the increased dead space and flow resistance they impose.6,14,20 It is also difficult to dismiss the possibility of a psychological effect on exercise performance as a result of wearing such apparatus.5 This raises the concern that exercise testing with RGC systems may not produce truly representative exercise data, potentially affecting the accuracy and value of subsequent performance analysis, training prescription or diagnosis.5,10 The effect of wearing standard RGC equipment, as used in exercise testing, has been the subject of studies before, but these have been limited to comparing one or more gas collection methods rather than comparing mask wear with non-wear.2,3,13,15,28 The aim of this study was therefore to compare incremental exercise test performance, physiological response and perceived exertion of subjects with and without a RGC facemask and flow sensor system. Methods subjects Twenty male physical education students with no history of respiratory or cardiovascular disease volunteered for the study. Table I lists subject physical characteristics. All were healthy, moderately active young men engaging in physi- cal activity involving running, cycling and/or resistance training 3 - 4 days per week. Subjects were briefed on the study purpose and procedures before giving written informed consent. The experimen- tal protocol was approved by the Research Ethics Committee of the University of Pretoria. Procedures Each subject reported to the laboratory on three occasions, each separated by 4 - 7 days. Testing sessions were conducted at the same time of day on each occasion. Subjects were instructed to ar- rive well rested, well hydrated, approximately 3 hours post-prandial, and to avoid caffeinated food and beverages on the day of testing. Participants were also required to maintain their normal dietary and physical activity patterns during the study, and to avoid exercise on the day prior to, as well as on the day of exercise testing. The first session involved anthropometrical measurement and familiarisation with the RGC equipment and test procedures. The latter included verbal explanation of the procedures, attachment of the facemask and flow sensor, and a 15-minute treadmill run at 10 km∙h-1. anthropometry Body mass (Tanita BF-350 electronic scale, Tanita Co., Tokyo, Japan), stature (Seca 214 stadiometer, Seca Co., Hanover, USA) and skin- fold thickness (Harpenden caliper, British Indicators, West Sussex, England) were measured at the first testing session. The Durnin and Womersley12 method was used to predict body density and percent- age body fat (%BF) was estimated using the Siri formula described by Lohman.22 Incremental exercise tests Subjects performed a continuous progressive treadmill test (STM-55, Quinton Instrument Co., Bothell, WA, USA) to volitional exhaustion on each of the two remaining visits to the laboratory. Following 5 minutes of light stretching subjects ran for 5 minutes at 10 km∙h-1 to warm up. Thereafter, treadmill speed was increased by 1 km∙h-1 each minute and treadmill grade by 0.5% every 2 minutes. Subjects were instructed to provide a maximal effort and verbal encouragement was provided throughout the test. One test involved gas analysis using a RGC facemask and flow sensor (MASK condition) connected to an automated gas analyser while the other test was performed without any gas collection or analysis equipment (NO-MASK). Exercise was conducted in an air-conditioned room (~21°C, 50% relative humidity) and both temperature and barometric pressure (~665 mmHg) record- ed at the start of each test. The order of the tests was randomised to eliminate any learning effect on test performance over the two trials. Laboratory technicians were blinded to the study hypothesis as well as to the subjects’ prior performances during the second tests. During MASK testing, a form-fitting silicone rubber Hans Rudolph 7400 series VmaskTM facemask (Hans Rudolph, Inc., Shawnee, KS, USA) was attached to the subject’s face using standard mesh headgear. All subjects in this study were appropriately sized for using the small-size facemask with a mask-sizing caliper from the same manufacturer. A 22-mm internal diameter plastic straight swivel port was attached to the mask for a mask plus adaptor dead space volume reported by the manufacturer to be approximately 89 ml. The mask assembly was fitted to the subject and completely sealed, allowing air movement only through the port at the front of the mask. A custom- made silicon adaptor was used to attach the port to a Silverman- type Blendenspiroeptor flow sensor (Ganshorn Medizi, Niederlauer, Germany) with a dead space of 55 ml and flow resistance of <1.0 cm H2O∙l -1∙s-1 according to the manufacturer. This resulted in a combined dead space for the mask plus flow sensor system of approximately 150 ml. Pulmonary gas exchange and ventilation were analysed with an automated ergo-spirometer (Schiller CS-200, Ganshorn Medizi, Niederlauer). During MASK tests, oxygen uptake (VO2), carbon dioxide production (VCO2), minute ventilation (VE), respiratory rate (fR) and tidal volume (VT) were monitored continuously and recorded every 10 seconds. Peak oxygen uptake (VO2peak) and peak ventilation (VEpeak) were recorded as the highest VO2 and VE respectively, averaged over 30 seconds during the test. During both MASK and NO-MASK tests, heart rate (HR) was monitored continuously using TaBle I. subject physical characteristics (N=20) characteristic Mean sD range Age (years) 21.0 1.9 18.0-25.0 Body mass (kg) 73.8 3.6 61.6-78.8 Stature (cm) 177.8 4.9 170.1-187.3 %BF 14.4 3.1 9.9-22.1 VO2peak 55.9 3.0 51.9-62.0 (ml•kg -1 •min -1 ) %BF = estimated percentage body fat (Durnin & Womersley, 1974); VO2peak = peak oxygen uptake. saJsM vol 20 no. 2 2008 45 pg40-48.indd 45 8/11/08 8:49:20 AM an electrocardiograph. Peak HR (HRpeak) was recorded as the highest exercise HR averaged over 10 seconds. Exercise time was recorded as the time in seconds from the start of the treadmill until test termination by the subject. Peak treadmill speed was defined as the speed of the highest completed 1-minute exercise stage. During all familiarisation and test procedures the subjects had no access to any feedback or information regarding their performance or the elapsed time. Blood lactate and perceived exertion Capillary blood was obtained from an earlobe using standard pro- cedures described by Maw et al.25 Blood lactate concentration was measured using a Lactate Pro (Arkray Inc. Shiga, Japan) portable analyser. This was done at 2, 4, and 6 minutes following test termi- nation. Peak blood lactate concentration ([La – ]peak) was measured as the highest measured post-exercise blood lactate concentration. Immediately following termination of the treadmill test, subjects were asked to rate their overall level of exertion using Borg’s rating of perceived exertion (RPE) 15-point category scale.8 Data analysis Descriptive data (mean ± standard deviation (SD)) were determined for all parameters. The Wilcoxon signed rank test for paired differ- ences (BMDP Statistical Software, Inc., Los Angeles, CA, USA) was used to assess mean differences between MASK and NO-MASK conditions as well as to assess whether there were significant dif- ferences between the first and second tests regardless of condition. Statistical significance was set at the 0.05 level. results Table II displays the differences in exercise time, peak treadmill speed, HRpeak, [La – ]peak, and RPE for each of the 20 subjects be- tween the two test conditions. There were no significant differences between MASK and NO-MASK conditions for any of these variables. Comparisons between the first and second tests also revealed no sig- nificant differences (first v. second) in exercise time (677.7±64.0 v. 676.4±54.2 s; p=0.856), peak treadmill speed (15.9±1.0 v. 15.9±1.0 km∙h-1; p=1.000), HRpeak (197±8 v. 197±8 beats∙min -1; p=0.723), [La - ]peak (11.5±2.2 v. 10.9±2.0 mmol∙l -1; p=0.131) and RPE (17.5±1.0 v. 17.4±1.2; p=0.782). This suggests that there was no significant learning effect between the first and second incremental test. Discussion The major finding of this study was that there were no significant dif- ferences between MASK and NO-MASK conditions in incremental ex- ercise test performance. This is different to the finding of Burkett and Porr,10 who reported significantly shorter (~4%) exercise times with a RGC system in both male and female subjects. They concluded that wearing oxygen uptake measuring equipment clearly reduced tread- mill running time and suggested that use of such equipment during exercise testing may produce inaccurate results.10 The results of the present study show no impairment in exercise test performance in MASK compared with NO-MASK conditions, and suggest that con- cerns over failure to achieve ‘true’ exercise performances as a result of RGC system wear are unfounded. For example, mean exercise time differed by less than 0.1% between MASK and NO-MASK tests in the present study. The effects of wearing full respirator masks,11 gas masks,17 military-type biological respirators,19,20 and self-contained breathing apparatus23 during exercise have been reported. However, these studies all compared exercise using these industrial-type masks with standard RGC systems. Results from these studies include reduced submaximal 17 and maximal VE 11,17,19,20, fR 11,17,20 and VO2max , 11,17 but increased submaximal HR17 and VO2 23 while wearing industrial- type masks. In contrast, Johnson et al.20 found reduced submaximal TaBle II. Difference in incremental exercise test performance with (MasK) and without (no-MasK) a respiratory gas collection system Time (s) speed (km.h -1 ) hrpeak (beats.min -1 ) [la - ]peak (mmol.l -1 ) rPe subject MasK no-MasK MasK no-MasK MasK no-MasK MasK no-MasK MasK no-MasK 1 617 614 15.0 15.0 207 210 9.4 9.0 16 17 2 728 726 17.0 17.0 201 198 14.3 12.2 17 17 3 677 672 16.0 16.0 190 188 12.3 13.4 18 18 4 709 672 16.0 16.0 189 186 14.3 11.0 19 19 5 699 719 16.0 16.0 188 188 15.8 15.7 18 19 6 883 842 19.0 19.0 190 185 13.3 9.1 18 18 7 734 746 17.0 17.0 196 192 12.0 11.0 17 17 8 615 654 15.0 15.0 190 194 12.9 13.0 17 18 9 682 676 16.0 16.0 190 188 12.7 11.0 18 17 10 613 596 15.0 14.0 212 209 9.6 8.1 18 19 11 675 666 16.0 16.0 203 206 10.2 12.4 18 18 12 634 616 15.0 15.0 201 198 9.6 9.2 17 18 13 677 681 16.0 16.0 205 207 10.9 13.0 19 18 14 670 673 16.0 16.0 203 200 11.7 8.7 17 16 15 672 689 16.0 16.0 207 205 11.6 11.3 17 17 16 691 720 16.0 16.0 183 184 8.3 11.3 18 18 17 684 696 16.0 16.0 205 202 12.3 12.2 18 17 18 624 645 15.0 15.0 191 203 7.7 7.1 16 16 19 652 631 15.0 15.0 201 198 11.0 10.4 18 14 20 606 606 15.0 15.0 188 189 9.7 9.1 16 15 Mean 677.1 677.0 15.9 15.9 197 197 11.5 10.9 17.5 17.3 SD 61.6 57.0 1.0 1.0 8 9 2.1 2.1 0.9 1.3 p value* 0.984 1.000 0.221 0.100 0.593 Time = treadmill exercise time to exhaustion; speed = peak treadmill speed; HRpeak = peak heart rate; [La –]peak = peak blood lactate concentration; RPE = rating of perceived exertion. * Wilcoxon signed rank test for paired differences (MASK v. NO-MASK). 46 saJsM vol 20 no. 2 2008 pg40-48.indd 46 8/11/08 8:49:21 AM saJsM vol 19 no. 4 2007 47 VO2 while wearing a respirator mask and along with higher blood lactate concentrations prompted their suggestion of greater anaerobic metabolism during mask wear. However, ventilatory and lactate thresholds are reportedly not different between respirator and gas collection mask conditions.11,20 Interestingly, Jetté et al.19 found no difference in VO2max, RER, time to exhaustion, perceived exertion, fR and VT during progressive treadmill exercise with and without a military-type respirator. However, as Johnson et al.20 state, in practice it seems workers wearing masks like those described above cannot work as long or as hard as they can without masks. It has been demonstrated that ventilation and the work of breathing during maximal exercise is non-fatiguing and sustainable.1 However, mask-induced respiratory changes remain central in the explanations for impaired exercise performance during mask wear in the studies discussed above. First, an obvious difference between mask wear and non-wear is respiratory dead space. It has been shown, in horses7,14,18 and humans,26 that increased dead space during exercise results in increased VT but not necessarily reduced fR, 3 resulting in variable effects on alveolar ventilation. This altered breathing pattern is thought to be a consequence of increased PaCO2 secondary to end-tidal re-breathing, mediated via a chemoreceptor reflex26 or as a result of sensory stimulation of the face, mouth and nose.3 Secondly, inhalation and exhalation resistance to airflow are augmented by some mask types,11,17 and subject secretions and condensation during exercise may add to the resistance of the mask and flow sensor system. Increased flow resistance stimulates a reduced fR and increased VT, 7 potentially increasing respiratory muscle work and the oxygen cost of breathing. Together, these factors might be hypothesised to alter breathing patterns, increase respiratory muscle perfusion, impair alveolar ventilation, and hamper CO2 elimination and O2 uptake, ultimately contributing to impaired exercise test performance. Other less commonly recognised mechanisms have also been proposed to explain physical performance impairment during mask wear. Altered breathing patterns may disrupt the coupling of fR to body movement, so-called ‘entrained breathing’ which is characteristic of some activities, preventing VE from reaching a mechanical optimum, and limiting alveolar ventilation.18 Also, the additional mass and dimensions of a mask and flow sensor system may alter body movement and exercise economy.23 Finally, a psychological limitation to exercise may occur secondary to perceived discomfort, pain or anxiety, leading to the inability to produce a true maximal effort during exercise testing.5 Many of these factors may be interrelated. For example, increased respiratory muscle work has been shown to add to the perception of dyspnoea, likely contributing to the overall perception of exertion and discomfort during exercise.16 Fundamental differences between the industrial-type masks discussed above and RGC facemasks used in laboratory exercise testing may explain the results of the present study. Protective masks typically have a dead space of 150 - 500 ml and flow resistance of 8.0 - 10.0 cm H2O∙l -1∙s-1 compared with 70 - 150 ml dead space and 0.6 - 1.7 cm H2O∙l -1∙s-1 resistance in a variety of RGC systems.3,11,17,19,20 Furthermore, the positioning of large diameter outlets directly opposite and close to the mouth in gas collection masks may minimise the effective dead space and flow resistance markedly in comparison to the construction of industrial-type masks. Manufacturers have modified RGC systems over the years, yielding systems with smaller dead space, alternative mask sizes, additional sealers, lighter units, improved comfort and fit, and high-velocity low-resistance valves promoting laminar air flow. It is possible that modern RGC systems are far better tolerated than those used previously. Pulmonary ventilation is generally not considered a limiting factor to maximal exercise performance in healthy, untrained, young subjects during dynamic exercise.4 Nevertheless, it is possible that at high ventilations turbulent air flow through a modern RGC facemask may rise and subsequently raise flow resistance sufficiently to limit air flow and VE, as is thought to occur in horses. 18 In humans, Bradley and Younes9 reported that the effective dead space of five commonly used respiratory valves was VT-dependent, approaching the measured dead space only at tidal volumes in excess of 2.0 l. Therefore, during high-intensity exercise, RGC mask wear may well alter breathing strategies in a similar manner to the industrial-type masks discussed previously. Since, by its nature, no respiratory measures (VT, fR, VE, VO2) are available for the NO-MASK exercise condition in the present study, and with no measures of blood gases, acid-base status or respiratory muscle work, the effect of wearing RGC systems on these physiological parameters remains unknown. One might speculate though that since exercise test performance was not different between MASK and NO-MASK conditions in the present study, the magnitude, and more importantly, the significance, of RGC system-induced changes in any respiratory parameter seem minimal. Jetté et al.19 reported reduced exercise blood lactate concentrations during mask-induced increases in flow resistance despite similar performance time and VO2max measures. They proposed reduced lactate efflux or production due to altered extracellular or intracellular pH as possible reasons.19 The present study found no differences in [La-]peak between MASK and NO-MASK exercise. This supports the notion that a RGC system does not significantly alter lactate production or removal during incremental exercise. The possible psychological effect of wearing any device on the head and face remains a difficult factor to eliminate. In order to monitor expired gas samples some form of gas collection unit close to the face is unavoidable. Burkett and Porr10 used the traditional method of nasal constriction and a mouthpiece connected to a respiratory valve in their study, a procedure frequently described by subjects as interfering with swallowing, altering breathing patterns and increasing discomfort during exercise (Clark: unpublished observations). Several studies indicate no difference in exercise time, gas concentration, VE, fR, respiratory exchange ratio (RER) or HR between mouthpiece and facemask exercise in patients with heart failure,5 pulmonary disease28 and in well-trained subjects.13,15 But a RGC facemask, as used in the present study, may be more comfortable than a mouthpiece during exercise,15 particularly maximal exercise, possibly accounting for the difference in results from that of Burkett and Porr.10 Whatever the discomfort or anxiety associated with mask wear, no effect was observed on exercise time, peak treadmill speed or RPE in the present study, suggesting that a psychological effect is either negligible or subject-specific. A potential limitation of this study is that while RGC systems are generally worn for the full duration of clinical or athletic exercise tests, these are mostly progressive in nature and of short duration. Dyspnoea, or indeed any mechanism leading to fatigue supposedly due to mask wear, would only need to be tolerated for the final portion of the progressive test,19 potentially delaying exercise termination in the present study. Longer exercise times and/or sustained high- intensity exercise with gas collection systems may produce different results.17 From this study it would appear that those factors which determine incremental exercise test performance without mask wear also do so during RGC mask wear. In other words, ‘fitter’ subjects perform better in incremental exercise tests whether they wear RGC equipment or not. This implies that any RGC system-induced changes are either too small to have any significant effect on test performance or that the mechanisms leading to test termination are independent of such changes. The results are particularly relevant because indirect calorimetry measures are frequently used to gauge or modify athletic performance or add diagnostic value for patients with known or suspected cardiopulmonary disease. In light of the results of the present study, practitioners should rest assured that RGC does not appear to impair exercise test performance, and probably does not significantly alter physiological response, thereby allowing the accurate assessment of physical performance comparable with mask-free exercise testing. One may speculate that if the work of breathing is indeed altered by RGC systems in some way, conditions in which ventilatory work is already high or cardiac reserve low may saJsM vol 20 no. 2 2008 47 pg40-48.indd 47 8/11/08 8:49:22 AM well produce impaired exercise test performance during mask wear. In elite endurance athletes who may approach their mechanical limitation to ventilation during maximal exercise21 or exhibit arterial hypoxaemia,27 increased dead space, work of breathing or altered breathing patterns associated with mask wear may affect exercise performance. Patients already limited by respiratory or cardiovascular function may also be less resistant to physiological perturbations brought about by wearing RGC systems, if indeed these occur. Further research involving these subject populations is required to more fully understand the effects of RGC systems. conclusions The results of the present study do not support the notion of reduced exercise test performance while wearing a RGC system. These results are different to the findings of several studies investigating the effects of various industrial-type masks on exercise perform- ance, and more specifically, contradictory to commonly held views of coaches, athletes and patients regarding exercise testing with gas collection apparatus. Further research incorporating measures of ventilation, blood gases, acid-base status and respiratory muscle work is needed to better describe the physiological effect of wearing RGC systems during exercise. Future studies should consider us- ing more sustained, intense exercise protocols and subjects more widely believed to be at risk of developing respiratory limitations dur- ing exercise. acknowledgements Mr C Evans, student in the School of Medicine, Faculty of Health Sciences, University of Pretoria, is thanked for his energetic admin- istrative assistance, without which this study would not have been possible. 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