1 ORIGINAL ARTICLE 2 3 A novel incremental slide board test for speed skaters: reliability analysis and comparisons with a 4 cycling test 5 6 Tatiane Piucco 1, Ricardo Dantas de Lucas 2, Jonathan Ache Dias 1, Saray Giovana dos Santos 1 7 8 1 Biomechanics Laboratory, Federal University of Santa Catarina, Florianópolis, Santa Catarina, Brazil. 2 Physical Effort Laboratory, Federal University of Santa Catarina, Florianópolis, Brazil 9 10 11 12 13 14 15 16 17 * Corresponding author. 18 Full mailing address: Universidade Federal de Santa Catarina, Centro de Desportos, Laboratório de 19 Biomecânica, 88040-900 / Florianópolis – SC, Brazil 20 telephone/fax number: +55 48 3721-8530 21 e-mail address: tatianepiucco@yahoo.com.br 22 23 24 Abstract 25 1 26 Objectives: This study intended to assess the test-retest reliability of an incremental test performed on a 27 slide board (SB) and compare it with a cycling protocol to determine aerobic indexes in skaters. Design: 28 Descriptive validity study. Method: Ten recreational inline skaters (eight male and two female) were 29 tested. Participants performed two incremental tests on SB and a cycling incremental test. The intensity of 30 SB test was determined by cadence, starting at 30 push-offs/min and increasing by three push-offs/min 31 each minute, until volitional exhaustion. Maximal and submaximal (related to the heart rate deflection 32 point; HRDP) values of oxygen uptake (VO2), pulmonary ventilation (VE), respiratory exchange (RER), 33 heart rate (HR) and rating of perceived effort (RPE) were measured. The maximal cadence (CADmax) 34 and blood lactate concentration ([Lac]max) were also obtained. Results: No significant differences 35 between test-retest on SB were found for all variables. High relative (ICC > 0.9) and absolute reliability 36 (typical error of measure as CVTEM < 3.5%) were found for VO2max, HRmax, [Lac]max, CADmax, 37 VO2HRDP, CADHRDP, and RPEHRDP. In comparison to SB test, the [Lac]max was significantly higher during 38 cycling and RPEHRDP was lower. VO2max, HRmax, CADmax, VO2HRDP and CADHRDP were large 39 correlated between cycling and SB (r > 0.8). Conclusions: These findings suggest that SB test is reliable 40 and may be used to evaluate aerobic index of skaters. 41 Exercise prescription from indices obtained from cycling or running treadmill incremental tests does not 42 seem suitable for speed skaters. However, the specificity of laboratory skating assessments remains to be 43 established. 44 Keywords: skating; slide board; reliability; sport specific testing 45 46 Introduction 47 48 Skating sports involve both aerobic and anaerobic energy supply (Foster et al, 1993; Foster et al., 49 2004; De Koning, Schenau, 2000; Foster et. al 1993). During the start, a large amount of anaerobic energy 50 contribution is necessary to accelerate, and then, the last lap is predominantly covered on the basis of 51 aerobic power. Even during the last lap of a 1500 m track race the energy is supplied by greater than 90% 2 52 aerobic sources (De Koning, Schenau, 2000). This reveal the importance of aerobic fitness for 53 professional in-line or on ice speed skaters. 54 Aerobic fitness tests are largely used to monitoring endurance performance, and to control and 55 prescribe training intensities during speed skating (Foster et al, 1993). To be effective, the performance 56 evaluations for exercise prescription must be valid, reliable and movement-specific. It is generally 57 accepted that optimal adaptations can be obtained from training loads specifically related to the sport 58 activity itself, due to the physiological and neuromuscular specificity (de Groot et al, 1987, de Boer et al, 59 1987b). 60 Exercise prescription from measurements obtained from cycling or running treadmill incremental 61 tests does not seem suitable for speed skaters (Krieg et al. 2006; Rundell 1996). However, the specificity 62 of laboratory skating evaluations remains to be established, particularly because skating activities are 63 difficult to simulate in the laboratory (Foster et al, 1993). Since the development of the skating treadmill 64 in 1993, there has been little research on the skating treadmill’s validity to elicit a VO2max, or 65 determining what type of protocol to use for evaluating physiological indexes (Koepp; Janota 2008). Also, 66 skating treadmills are very expensive and challenging to be used by coaches to optimize the training 67 programs of athletes through periodic laboratory evaluation. 68 Given the importance of aerobic parameter assessment to monitoring inline or on-ice speed 69 skaters, it is valuable to develop an appropriate test for these athletes. In this sense, the slide board has 70 been widely used as an off-ice training modality by speed skaters, since it seems to mimic the speed 71 skating gesture. However, to our knowledge, there are no studies attempting to use it as ergometer, to 72 measure incremental testing parameters. The developing of an incremental test using the slide board may 73 allow for a simple and low cost sport-specific evaluation of speed skaters. 74 Thus, the purpose of this study was twofold: 1) to assess the test-retest reliability of a novel 75 incremental test performed on slide board; 2) to compare maximal and submaximal aerobic indexes 76 obtained from cycling and slide board incremental tests in recreational inline speed skaters. 77 3 78 Material and Methods 79 80 Participants 81 Eight male and two female recreational in-line skaters voluntarily participated in the study. They 82 all had a skating training history of three years, and at least six months of slide board training experience. 83 The mean age was 30.6 ± 6 years. The mean body mass, percentage of body fat and height were 84 respectively, 71.4 ± 11kg, 17.4 ± 5.7%, and 1.73 ± 0.07 m for males, and 62.3±1.5 kg, 30.9±2.05 % and 85 1.66± 2.2 m for females. The study was conducted in accordance with ethical principles for medical 86 research involving human and in accordance with ethical standards of the Local University Human 87 Research Ethics Committee. All participants signed an informed consent document with a detailed 88 description of the aims, benefits and risks of participating in the study, as well as data protection. 89 90 Procedures 91 The participants were instructed to refrain from heavy training, maintain a regular diet 24h prior 92 to testing, and to abstain from the ingestion of any stimulant (caffeine drink, nicotine, etc) or alcohol 93 during the preceding testing day. All participants were familiarized with the tests and the equipment prior 94 the data collection. 95 Three incremental tests were performed in laboratory-controlled conditions: a maximal 96 incremental cadence cycle ergometer test, and two maximal incremental cadence slide board tests to verify 97 the test-retest reliability. The tests were performed two to four days apart, at the same time of day and 98 room temperature in order to ensure similar environmental conditions. 99 100 Incremental cycling test 101 The cycling protocol was performed on a Lode Excalibur Sport Cycle Ergometer (Groninger, 102 Holland). Prior to the maximal test, a five-minute warm-up at a workload of 50–60 W with a cadence of 103 90 rpm was performed. After a three-minute rest, the participants started the test at an initial workload 4 104 relative to their body weight (2.75 W.kg-1) with the cadence increased by 10 rpm each minute from an 105 initial cadence of 70 rpm (Deakin et al., 2011). The test was terminated when the selected cadence could 106 no longer be maintained or at volitional exhaustion. 107 108 Incremental slide board test 109 The slide board protocol was performed on an instrumented slide board (2.0 x 0.6 x 0.025 cm) 110 developed specifically for this project (Figure 1). The slide board surface was made of polyethylene 111 (friction coefficient = 0.1) and a non-slip material (Ethylene Vinyl Acetate-EVA) was placed underneath. 112 Two optical sensors, connected to a computer, were placed at both extremities of the slide board to detect 113 the movement of the athletes’ feet, and to determine the contact time at the lateral stoppers to indicate the 114 athletes’ cadence. Specific software was developed to control and help the athlete to keep the pace by 115 providing visual and auditory feedback, and also to determine the end of the test by means of the signals 116 input from the slide board. The subject wore a pair of fleece socks to skate on slide board during the test. 117 The participants performed a five-minute warm-up at a cadence of 30 push-offs per minute. After a three- 118 minute rest, the test began with a cadence of 30 push-off/min and it increased by three push-off/min every 119 minute. The participants were asked to maintain a constant skating posture, and they were free to move 120 their arms during the test. The test was completed when the selected cadence could no longer be 121 maintained or at volitional exhaustion. Identical procedures were applied during the re-test. 5 122 123 FIGURE 1- instrumented slide board scheme. 1- photoemitter; 2- photoreceptor. 124 Participants were verbally encouraged to exert maximum effort during the tests. The Rate of 125 Perceived Exertion (RPE) during the tests was accessed by the Borg scale (6-20 points) at the end of each 126 stage (BORG, 1982). Ventilation (VE), respiratory exchange ratio (RER) and oxygen consumption (VO2) 127 were measured breath-by-breath using a gas analyzer (Quark PFT Ergo, Cosmed, Rome, Italy), calibrated 128 according to manufacturer’s instructions prior to each test. VO2max was considered to be the highest 129 value averaged over 15-seconds. The attainment of VO2max was defined using the criteria proposed by 130 Howley et al. (1995). The maximal cadence (CADmax) was defined as the maximal number of push- 131 offs/min reached during the slide board test. If the final stage was not completed, the CADmax was 132 calculated according to the follow equation adapted from Kuipers et al. (1985): 133 134 CADmax = CADf + (t/60*3), (1) 135 136 with CADf the cadence of the final stage completed, t the uncompleted stage time, 60 the stage duration 137 and 3 the cadence increment per stage. Blood samples were collected from subjects’ earlobe one, three, 138 and five minutes following test completion to assess the maximal blood lactate concentration ([Lac]max). 6 139 [Lac] were assessed using an electrochemical analyzer (YSI 2700 STAT, Yellow Springs, OH, USA), 140 calibrated according to the manufacturer’s recommendations before each analysis. The D-max method 141 (KARA et al. 1996) was used to identify the heart rate deflection point (HRDP), which represents a non- 142 invasive method to detect the lactate threshold. 143 144 Statistical Analyses 145 A paired t-test was used to compare data obtained from the two slide board trials in a test-retest 146 fashion and between the slide board and cycling tests. Heteroscedasticity of all variables were examined 147 by Bland-Altman plotting of the absolute individual differences vs the individual means. The slope of the 148 linear regression of this data was tested against zero, in order to assess the relationship significance 149 (Ludbrook, 2010). Intraclass correlation coefficients (ICC) and typical error of measurement (TEM) were 150 calculated according to Hopkins (2000) to determine the test-retest reliability. The TEM was also 151 expressed as coefficient of variation (CVTEM). The ICCs were interpreted as follows: 0.90 - 0.99 as high 152 reliability; 0.80 - 0.89 as good reliability; 0.70 - 0.79 as fair reliability; and < 0.69 as poor reliability 153 (Currier, 1990). Pearson’s correlations were used to examine the relationships between cycle ergometer 154 and slide board tests. The following criterion was adopted for interpreting the magnitude of correlation 155 between variables: < 0.1 as trivial; 0.11 – 0.3 as small; 0.31 – 0.5 as moderate; 0.51 – 0.7 as large; 0.71 – 156 0.9 as very large; and 0.91 – 1.0 as almost perfect (Hopkins et al., 2009). Linear regression was used to 157 predict VO2max values from CADmax. Statistical analysis was conducted using Statistical Package for 158 Social Sciences (SPSS Inc. v.17.0, Chicago, USA) and the confidence level was set at 5%. 159 160 Results 161 During the slide board protocol, all participants reached at least three of five criteria for VO2max 162 attainment, according to Howley et al. (1995), 7/10 subjects attained a VO2max plateau, 7/10 attained 163 predicted HRmax, 9/10 achieved an RER ≥ 1.1, 9/10 achieved [Lac] ≥ 8 mmol.l-1, and 3/10 attained an RPE 164 of 18. 7 165 Table 1 shows test-retest reliability scores of the maximal and submaximal (HRDP) variables. No 166 significant differences were found between test and retest values for all variables analyzed. All data 167 analyzed presented homoscedasticity. The results show low within-individual variation, very low bias and 168 high reliability of VO2, HR and CAD maximal values. Maximal and submaximal values of VE and RER 169 showed poor reliability. 170 171 172 Table 1- Test-retest reliability scores of maximal and submaximal (HRDP) variables (Mean±SD) during 173 incremental slide board test. Test Retest CVTEM(%) ICC (95%CI) Bias VO2max (ml.kg-1.min-1) 47.5 ± 7.7 47.6 ± 6.3 3.18 0.97(0.91-0.99) 0.09 HRmax (bpm) 190.9 ± 8.9 189.6 ± 6.8 1.19 0.95(0.800-0.99) -1.30 RERmax 1.21 ± 0.12 1.15 ± 0.07 7.25 -0.41(-1.86-0.73) -0.06 VEmax (l.min-1) 115.07 ± 21.4 111.4 ± 19 6.32 0.74(0.03-0.93) -3.60 CADmax(Push-off.min-1) 64.0 ± 9.3 64.9 ± 9.5 1.21 0.99(0.98-0.99) 0.60 [Lac]max (mmol.l-1) 3.43 ± 0.64 3.42 ± 0.6 6.72 0.92(0.70-0.98) -0.27 RPEmax 17.2 ± 0.6 17.1 ± 0.5 4.01 0.86(0.47-0.96) -0.10 VO2HRDP (ml.kg-1.min-1) 42.35 ± 5.4 41.82 ± 5.7 4.90 0.93(0.74-0.98) 0.53 CADHRDP(Push-off.min-1) 53.4 ± 6.9 53.7 ± 8.5 3.47 0.97(0.89-0.99) -0.30 HRDP (bpm) 175 ± 11.2 171 ± 5.8 3.26 0.72(0.06-0.93) 3.83 VEHRDP (l.min-1) 77.9 ± 8.9 75.9 ± 10.2 8.90 0.68(-0.20-0.92) 2.03 RPEHRDP 15.6 ± 1.4 15.4 ± 1.4 2.84 0.95(0.80-0.98) 0.20 174 Bias: Bland-Altam results. VO2max = maximal oxygen uptake; HRmax = maximal heart hate; VEmax = 175 maximal ventilation; CADmax = maximal cadence; RERmax = maximal respiratory exchange ratio; 176 [Lac]max = maximal lactate concentration; RPEmax = maximal rate of perceived exertion; VO2HRDP = 8 177 oxygen uptake at HRDP; CADHRDP = cadence at HRDP; HRHRDP = maximal heart hate; VEHRDP = maximal 178 ventilation; RPEHRDP = rate of perceived exertion at HRDP. 179 180 There were no signifigant differences for maximal VO2, VE, RER and RPE values (Table 2) 181 between cycling and slide board tests. Regarding the submaximal values obtained during slide board, only 182 RPEHRDP were significantly different (p<0.01) compared to cycling test. Large correlations between 183 cycling and slide board for VO2max, HRmax, CADmax, VOHRDP and CADHRDP were found. 184 185 Table 2- Comparison and correlation values of maximal and submaximal variables (Mean±SD) between 186 slide board and cycling protocols. Slide Board Cycling r VO2max (ml.kg-1.min-1) 47.5±7.7 48.4 ±8.8 0.91** HRmax (bpm) 190.9±8.9 190±10 0.87** RERmax 1.21±0.12 1.29±0.1 0.22 VEmax (l.min-1) 115.07±21.4 127.4±18 0.40 CADmax(Push-off.min-1) 64±9.3 127± 20.5 0.83** [Lac]max (mmol.l-1) 3.43±0.64 4.49± 0.77* 0.60 RPEmax 17.2±0.6 17.3± 0.48 0.52 VO2HRDP (ml.kg-1.min-1) 42.35±5.4 44.1±6.4 0.90** CADHRDP(Push-off.min-1) # 53.4±6.9 103±14.9 0.80** HRDP(bpm) 175±11.2 172.6±12.2 0.32 VE-HRDP (l.min-1) 77.9±8.9 88.3±21.1 0.50 RPE-HRDP 15.6±1.4 14.6±1.5* 0.54 CAD-HRDP(%max) 88.4±4.6 81.7± 8.2 0.50 9 187 * Significant difference (p<0.05); **significant correlation (p<0.05) between slide 188 board and cycling. #Cadence values (push-off.min-1) were not compared due to 189 different units. 190 191 DISCUSSION 192 193 The first aim of this study was to evaluate the reliability of physiological measures during slide 194 board testing, which mimics the skating gesture. No differences were found for all maximal variables 195 between test and retest trials. In general, the reliability scores obtained from the slide board test showed 196 that it is a practical and consistent incremental test. The VO2max, HRmax, CADmax, CAD and RPE 197 submaximal measures showed the highest test–retest reliability scores (ICC>0.9; CVTEM <3.5%, table 1). 198 Considering most maximal variables, within-individual variations (TEM) between test and retest were 199 smaller than those found for similar protocols in cycle ergometer (Deakin et al. 2010; Zhou, Weston, 200 1997) and field hockey skating test (Petrella et al. 2007). Within-participants variation is the most 201 important analysis when considering the reliability of measurements, because it affects the estimates 202 precision of change in the variable of an experimental study (Hopkins 2000). From a practical point of 203 view, Hopkins (2000) pointed out that about 1.5 to 2.0 times the typical error could be used as a threshold 204 above which any individual change would be interpreted as “real” following an intervention. For instance, 205 considering the CVTEM value found for the CADmax (e.g 1.2%), this threshold would be around 2.4%. 206 Comparisons between the slide board test and cycling test indicate higher [Lac]max values and 207 lower RPEHRDP during slide board protocol compared with cycling (table 2). Most participants reached a 208 slightly lower maximal and submaximal VO2 and VE values and higher HR during slide board protocol. 209 Furthermore, significant correlations for VO2max, HRmax, CADmax, VO2HRDP and CADHRDP values exist 210 between slide board and cycle ergometer protocols. There is data in the literature comparing the 211 physiological parameters amongst skating, cycling and running activities (Martinez et al., 1993; Wallick et 212 al., 1995; Foster et al., 1999; Krieg et al., 2006, Snyder et al., 1996; Rundell, 1996). Despite some 10 213 differences, cycling parameters seem to be more similar to skating activity than running (Wallick et al. 214 1995, Snyder et al. 1996). Furthermore, the testing protocol design can also affect physiological responses 215 during exercise (Bentley et al. 2007). Cadence versus workload incremental cycling tests show differences 216 in peak workloads. However, both protocols produce similar peak VO2 values, which reflect on a lower 217 cycling economy during cadence-increase protocols (Deakin et al. 2010). 218 The findings of the present study are consistent with the previous investigations of Foster et al. 219 (1999) and Snyder et al. (1996) that have demonstrated lower VO2, VE and RER values and higher HR 220 and [Lac] values during treadmill skating protocol when comparing with cycling exercise. Krieg et al. 221 (2006) also found lower VO2max and higher HR and [Lac] values during skating when compared to cycle 222 testing, but higher submaximal VO2 and RER associated with a fixed [Lac] of 4 mmol.l-1. Perhaps the 223 field skating test conditions in Krieg et al. (2006)’s study could explain those differences, because the 224 asphalt friction coefficient and skating variables such as uncontrolled posture, stride frequency, glide and 225 push-off duration, crossover stride, can alter physiological responses between treadmill and field skating 226 (Nobes et al. 2003). Also, Krieg et al. (2006) utilized a discontinuous protocol and the [Lac] could be 227 decreased due to the exercise interruptions, and as well the lactate vs VO2 relationship. 228 Other possible explanations for the lower VO2max attained during skating exercise can be related 229 to both a smaller active muscle mass and to a restriction of muscle blood flow during skating when 230 compared to cycling (Foster et al., 2000, Rundell, 1996, Foster et al. 1999). These conditions depend on 231 skating posture, surface characteristics and skater motor skill (Krieg et al. 2006, Carroll et al. 1993). A 232 lower skater body position induces a greater reduction in VO2max, consistent with a reduction in muscle 233 blood flow secondary to high intramuscular forces during skating exercise (Foster et al., 2000). 234 High intramuscular forces could also explain the high HR during skating, since it might lead to a 235 disproportionate increase in HR relative to VO2. Such situation is frequently observed during resistance 236 training or attributable to the activated muscle ischemia and an increase in systemic arterial pressure 237 (O’Leary, 1993). This is consistent with the concept that the high forces within the muscle act to compress 238 the smaller arterioles thereby increasing the HR during skating. 11 239 For submaximal comparisons between cycling and slide board modalities, we used the HRDP as 240 an aerobic index, obtained from both exercise protocols. The results indicate similar values for VO2, HR 241 and VE at the HRDP. Further, the cadence at HRDP found for each ergometer was significantly correlated 242 (Table 2). This result suggests that HRDP occurred at the same relative intensity when compared cycling 243 and slide board exercises, and the HRDP could be a viable method to prescribe submaximal intensity 244 during slide board training. However, a direct method would be necessary to confirm the validity of this 245 method of non-invasive lactate threshold determination in such ergometers. 246 Since board skating evokes much more specific physiological and biomechanical responses 247 (Kandou et al. 1987), it can be used not only for testing, but for training purposes as well. Highly fit 248 individuals may require a higher training stimulus to achieve a significant training effect, and slide board 249 skating could be used to perform interval-training sessions. Intensity is easily manipulated by changes in 250 cadence or by increasing the friction coefficient on the board surface. However, intervention-based studies 251 are necessary in order to better understand the likely benefits applied to slide board training compared to 252 actual skating movement. 253 254 The good agreement between test-retest data suggests that the slide board incremental test is 255 reliable. Furthermore, the large correlations and the lack of differences in the physiological variables 256 between the slide board skating and cycling protocols suggest that the slide board may be used to measure 257 aerobic variables of skaters similarly to a cycling protocol. Therefore, slide board skate testing may 258 provide a more practical alternative to laboratory-based tests when a large number of athletes need to be 259 monitored for changes in performance and fitness over a competitive season. 260 261 Reference 262 Foster, C., Thompson, N. N. & Synder, A. C. (1993). Ergometric studies with speed skaters: evolution of 263 laboratory methods. Journal of Strength Conditioning Research, 7, 193-200. 264 12 265 Foster, C., de Koning, J. J., Hettinga, F., Lampen, J., Dodge, C., Bobbert, M., Porcari, J. P. (2004). Effect 266 of competitive distance on energy expenditure during simulate competition. International Journal of 267 Sports Medicine, 25, 198 - 204. 268 269 DeKoning, J. J. & van Ingen Schenau, G.J. (2000). Performance-determining factors in speed skating. In 270 V. M. Zatsiorski (Ed.), Biomechanics in Sport: Performance Improvement and Injury Prevention (pp. 271 232–246). Malden: Blackwell Science. 272 273 Foster, C., Green, M., Snyder, A. C. & Thompson, N. N. (1993). Physiological responses during simulated 274 competition. Medicine and Science in Sports and Exercise, 25, 877-882. 275 276 De Groot, G., Hollander, P., Sargeant, J., van Ingen Schenau, G. J. & de Boer, R. W. (1987). Applied 277 physiology of speed skating. Journal of Sports Sciences, 5, 249-259. 278 279 280 Kandou, T. W. A., Houtman, I. L. D., van der Bol, E., de Boer, R.W., de Groot, G. & van Ingen Schenau, 281 G. J. (1987). Comparison of physiology and biomechanics of speed skating with cycling and with skate 282 board exercise. Canadian Journal of Sport Sciences, 12, 31-6. 283 284 de Boer, R.W., Ettema, G. J. C., Faessen, B., Krekels, H., Hollander, A.P., de Groot, G. & van Ingen 285 Schenau, G. J. (1987a). Specific characteristics of speed skating: implications for the summer training. 286 Medicine and Science in Sports and Exercise, 19, 504-10. 287 288 Krieg A, Meyer, T., Clas, S. & Kindermann, W. (1996). Characteristics of inline speedskating - 289 Incremental tests and effect of drafting. International Journal of Sports Medicine, 27, 818-823. 290 13 291 Rundell, K. W. (1996). Compromised oxygen uptake in speed skaters during treadmill in-line skating. 292 Medicine and Science in Sports and Exercise, 28, 120-127. 293 294 Koepp, K. K. & Janota, J. M. (2008). Comparison of VO2max and metabolic variables between treadmill 295 running and treadmill skating. Journal of Strength and Conditioning Research, 22, 1–6. 296 297 Faulkner, J. A. (1968). Physiology of swimming and diving. In H. Falls (Ed.), Exercise Physiology (pp. 298 415-445). Baltimore: Academic Press. 299 300 Siri, W. E. (1961). Body composition from fluid space and density. In J. Brozek & A. Hanschel (Eds.), 301 Techniques for measuring body composition (pp. 223-244). Washington: National Academy of Science. 302 303 Deakin, G.B., Davie, A. J. & Zhou, S. (2011). Reliability and validity of an incremental cadence cycle 304 VO2max testing protocol for trained cyclists. Journal of Exercise Science & Fitness, 9, 31–39. 305 306 Borg, G. (1982) Psychophysical bases of perceived exertion. Medicine and Science in Sports and 307 Exercise, 14, p. 377-81. 308 309 Hopkins, W.G. , Marshall, S.W., Batterham, A.M. & Hanin, J. (2009). Progressive statistics for studies in 310 sports medicine and exercise science. Medicine and Science in Sports and Exercise, 25, 3-12. 311 312 Lacour, J.R., Padilla-Magunacelaya, S., Chatard, J.C., Arsac, L. & Bathélémy, J.C. (1991). Assessment of 313 running velocity at maximal oxygen uptake. European Journal of Applied Physiology, 62, 77–82. 314 315 Howley, E.T., Bassett, D.R., Jr., & Welch, H.G. 1995. Criteria for maximal oxygen uptake: review and 316 commentary. Medicine and Science in Sports and Exercise, 27, 1292–1301. 14 317 318 Kuipers, H., Verstappen, F.T. J., Geurten, P. & van Kranenburg, G. (1985). Variability of aerobic 319 performance in laboratory and its physiologic correlates. International Journal of Sports Medicine, 6, 197- 320 201. 321 322 Beaver, W. L., Wasserman, K. & Whipp, B . J. (1986). A new method for detecting the a naerobic 323 threshold by gas exchange. Journal of Applied Physiology 60, 2020-27. 324 325 Kara, M., Gokbel, H., & Bediz, C. (1996). Determination of the heart rate deflection point by the Dmax 326 method. Journal of Sports Medicine and Physical Fitness, 36, 31–34. 327 328 Conconi, F, Ferrari, M, Ziglio, P. G, Droghetti, P. & Codeca, L. (1982). Determination of anaerobic 329 threshold by noninvasive field test in runners. Journal of Applied Physiology 52, 869–873. 330 331 Hopkins,W. G. (2000). Measures of reliability in sports medicine and science. Sports Medicine, 30, 1–15. 332 333 Ludbrook, J. (2010). Confidence in Altman–Bland plots: a critical review of the method of differences. 334 Clinical and Experimental Pharmacology and Physiology, 37, 143–149. 335 336 Currier, D. P. (1990). Elements of research in physical therapy. Baltimore: Williams and Wilkins. 337 338 Snyder, A.C., O'Hagan, K.P., Clifford, P.S., Hoffman, M.D. & Foster, C. (1993). Exercise responses to in- 339 line skating: comparisons to running and cycling. International Journal of Sports and Medicine, 14, 38- 340 42. 341 15 342 Carroll, T. R., Bacharach, D., Kelly, J., Rudrud, E. & Karns, P. (1993). Metabolic cost of ice and in-line 343 skating in Division I collegiate ice hockey players. Canadian Journal of Applied Physiology, 18, 255-62. 344 345 Nobes, K. J., Montgomery, D. L., Pearsall, D. J., Turcotte, R. A., Lefebvre, R. & Whittom, F. (2003). A 346 comparison of skating economy on-ice and on the skating treadmill. Canadian journal of applied 347 physiology. 28, 1-11. 348 349 O’Leary, D. S. (1993). Autonomic mechanisms of muscle metaboreflex control of heart rate. Journal of 350 Applied Physiology. 74, 1748–1754. 351 352 Kandou, T.W.A., Houtman, I. L. D., Bol, E.V.D., de Boer, R.W., de Groot, G., & van Ingen Schenau, G. 353 J. (1987). Comparison of physiology and biomechanics of speed skating with cycling and with skateboard 354 exercise. Canadian Journal of Sport Sciences. 12, 31-36. 355 356 357 TABLES 358 359 360 361 362 363 364 365 366 367 16 368 369 370 371 372 373 374 375 376 377 378 379 380 381 FIGURE LEGENDS 382 17