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Zurich Open Repository and Archive University of Zurich Main Library Strickhofstrasse 39 CH-8057 Zurich www.zora.uzh.ch

Year: 2017

The Age of Peak Performance in Cross-Country – The ‘ Ski Marathon’

Knechtle, Beat ; Nikolaidis, Pantelis Theodoros

DOI: https://doi.org/10.1519/JSC.0000000000001931

Posted at the Zurich Open Repository and Archive, University of Zurich ZORA URL: https://doi.org/10.5167/uzh-137845 Journal Article Accepted Version

Originally published at: Knechtle, Beat; Nikolaidis, Pantelis Theodoros (2017). The Age of Peak Marathon Performance in Cross-Country Skiing – The ‘Engadin Ski Marathon’. Journal of Strength and Conditioning Research:1. DOI: https://doi.org/10.1519/JSC.0000000000001931 Journal of Strength and Conditioning Research Publish Ahead of Print DOI: 10.1519/JSC.0000000000001931

1 2 3 The Age of Peak Marathon Performance in Cross-Country Skiing – 4 The ‘Engadin Ski Marathon’ 5 6 7 head: Age of peak cross-country skiing performance 8 9 10 Beat Knechtle1,2, Pantelis Theodoros Nikolaidis3 11 12 13 1Gesundheitszentrum St. Gallen, St. Gallen, 14 2Institute of Primary Care, University of Zurich, Zurich, Switzerland 15 3Exercise Physiology Laboratory, Nikaia, Greece 16 17 18 Corresponding author 19 Prof. Dr. med. Beat Knechtle 20 Facharzt FMH für Allgemeinmedizin 21 Gesundheitszentrum St. Gallen 22 Vadianstrasse 26 23 9001 St. Gallen 24 Switzerland 25 Telefon +41 (0) 71 226 93 00 26 Telefax +41 (0) 71 226 93 01 27 E-Mail [email protected] 28 29 30 31 ACCEPTED 32

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Copyright ª 2017 National Strength and Conditioning Association 1

37 ABSTRACT

38 39 The age of the best endurance performance has been well investigated in flat city

40 running . However, we have no knowledge about the age of peak marathon

41 performance in cross-country skiing, which would be of great practical value for

42 athletes and coaches. Therefore, the aim of the present study was to examine the age

43 of peak marathon performance in cross-country skiing. Participants were 162,991 men

44 and 34,833 women competing between 1998 and 2016 in the ‘Engadin Ski Marathon’.

45 We considered for both women and men the fastest and all finishers in 1-year age

46 intervals. The men-to-women ratio increased across ages (r2=0.55, P<0.0001). Men

47 (44.27±0.03 years, 15.73±0.01 km/h) were 5.98±0.07 years older and 2.14±0.02 km/h

48 faster (P<0.0001) than women (38.29±0.06 years, 13.58±0.01 km/h). Considering the

49 fastest participants in 1-year age intervals, the fastest speed for men (30.33 km/h) was

50 achieved at the age of 29 years and for women (28.76 km/h) at the age of 24 years.

51 Considering all participants, the fastest speed for men (17.69 km/h) was observed at

52 the age of 18 years, whereas for women (15.76 km/h) at the age of 17 years. In

53 summary, for athletes and coaches, the age of peak performance in cross-country

54 skiers competing in a marathon distance was much younger and closer to the peak of

55 aerobic capacity than what was found by previous studies in marathon road runners. 56 ACCEPTED 57 Key Words: women; men; long-distance performance

58 59 60 61 62 63 64 65

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66 INTRODUCTION

67 68 Cross-country skiing, one of the earliest known winter physical activities (6), is a

69 sport of high popularity especially in countries characterized by low temperatures and

70 high snowfall, especially in Scandinavia (5). Cross-country skiing is a form of skiing

71 where skiers rely on their own locomotion to move across snow-covered terrain.

72 Skiers propel themselves either by striding forward (i.e. classic style) or side-to-side

73 in a skating motion (i.e. skate skiing), aided by arms pushing on ski poles against the

74 snow.

75 76 A main parameter that influences sport performance is the age of peak performance

77 and every sports discipline has its specific age of peak performance (1, 9, 17). To the

78 authors’ knowledge, the age of peak performance has not been studied in cross-

79 country skiing. Currently, the information for a possible age of peak performance in

80 cross-country skiing is provided by different modes of exercise, such as running, with

81 similar duration.

82 83 Considering marathon running, the age of peak marathon performance was reported

84 between ~20 and ~50 years for both women and men depending upon the investigated

85 races or data and the kind of analysis (9-14). Hunter et al. (9) analysed the five fastest 86 men and womenACCEPTED (i.e. peak running speed) in seven major marathon events. Women 87 (29.8±4.2 years) were older than men (28.9±3.8 years), but for only two (i.e.

88 Marathon and Marathon) of the seven considered marathons (9). At the age of

89 ~50 years both women and men showed a decline in running speed, which was more

90 pronounced in women (14). Running speed showed no changes before the age of ~50

91 years in both marathoners and half-marathoners (14).

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92 A statistical approach to determine the age of peak marathon performance is the use

93 of non-linear regression analyses by considering race times in 1-year age intervals

94 (13). When marathon race times of the top ten women and men aged from 18 to 75

95 years in the ‘’ were analysed in 1-year age intervals for the

96 2010 and 2011 races, the fastest race times were obtained at ~27 years in men and at

97 ~29 years in women (12). When the world single age records in marathon running

98 were analysed in 1-year age intervals for women and men, performance was quite

99 linear between ~20 and ~35 years, but started to decrease at the age of ~35 years in a

100 curvilinear manner with increasing age in both women and men (10). In male

101 marathoners competing from 1979 to 2014 in the ‘ Marathon’, the fastest

102 performance was achieved at the age of ~34 years (13). The age of ~34 years

103 remained unchanged when all men in 1-year age intervals were investigated and also

104 the fastest men in 1-year-age-inverals (13).

105 106 The age of peak marathon performance has been well investigated for running.

107 However, the age of peak marathon performance is not known for cross-country

108 skiing, which might be of great practical importance for athletes and coaches in this

109 sport. Also, it might be of theoretical importance for sport scientists focusing on the

110 research of age group athletes as a model of successful aging. From a practical

111 perspective, the knowledge of the age of peak performance in cross-country skiing 112 might helpACCEPTED coaches and athletes set realistic goals according to age and tailoring 113 accordingly their training program. From a theoretical perspective, the study of the

114 age of peak performance in cross-country skiing compared to other endurance events

115 (e.g. running, cycling and ) might give insights into the association of aging

116 and endurance exercise of various modes and physiological demands.

117

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118 Therefore, the authors aimed to determine the age of peak marathon performance in

119 cross-country skiing, and particularly, in the ‘Engadin Ski Marathon’ (Switzerland),

120 which has been held since 1969 and whose distance was extended in 1998 to cover the

121 exact marathon distance. By analyzing the race data from 1998 to 2016, and based

122 upon the findings for marathon running the authors hypothesized that the age of peak

123 performance in a cross-country marathon would be at a similar age of ~30-35 years

124 for both women and men.

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127 METHODS

128 129 Experimental Approach to the Problem

130 All procedures used in the study were approved by the Institutional Review Board of

131 Kanton St. Gallen, Switzerland with a waiver of the requirement for informed consent

132 of the participants given the fact that the study involved the analysis of publicly

133 available data.

134 135 Subjects

136 In this study, all athletes who finished the ‘Engadin Ski Marathon’ between 1998 and

137 2016 were considered. Data were obtained from the publicly available race website of 138 the ‘EngadinACCEPTED Skin Marathon’ at www.engadin-skimarathon.ch. 139 140 The ‘Engadin Ski Marathon’ is an annually held cross-country ski race taking place

141 on the second Sunday of March in the upper Engadin valley in Switzerland, Europe,

142 between Maloja and S-chanf. The race originated in 1969, has been a part of the

143 Worldloppet, and is one of the major cross-country skiing events in the Alps. Each

144 year, between 11,000 and 13,000 skiers participate in this race. Since 1998, the total

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145 distance covered is 42 km. In that year, the race was extended by 2 km to match the

146 distance of a full marathon and the track was changed slightly in the Stazerwald

147 section, resulting in a more difficult topography, and longer race times are now

148 standard. The track record of 1 h 16 min 10 s was set by Hervé Balland in 1994. In the

149 same year, Silvia Honegger completed the race with the female track record of 1 h 22

150 min 08 s. While it is a freestyle race, there are separate tracks for skiers practicing

151 classic style for all but the narrowest parts of the race. Participation is open to anyone

152 from the age of 16 years, and no license is required to sign up.

153 The start of the race takes place in Maloja at the Hotel with an

154 elevation of 1,820 meters above sea level. The track leads over both and

155 Lake Silvaplana which are both frozen at this time of year. After passing St. Moritz

156 there is a forested climb in the Stazerwald. The proceeding descent to Pontresina is

157 regarded by many as the most spectacular part of the race for spectators, due to the

158 high number of falls and crashes by skiers. The race then follows the runway of

159 Samedan Airport and afterwards continues on the right side of the Engadin valley,

160 passing several small communities before reaching the finish in S-chanf at an

161 elevation of 1,670 meters above sea level.

162 Data Analysis and Statistical Analyses 163 The men-to-womenACCEPTED ratio was calculated with all men and all women for each age 164 group, and the trend in the ratio across age groups was analysed using single linear

165 regression analysis. Speed and age of women and men were compared using unpaired

166 T-test. For the age of the best performance, we determined the non-linear regression

167 model with a second order polynomial function ( ) that fits the

168 data best since performance in marathon running seems to follow a quadratic (i.e.

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169 second order polynomial) function (13). Since Lehto (13) found that for both the

170 fastest men and all men in 1-year age intervals the age of the fastest marathon race

171 time was the same, we determined for both women and men the fastest and all

172 finishers in 1-year age intervals. The age of peak performance and the corresponding

173 performance was determined by calculating the vertex of the quadratic function

174 . Statistical analyses were performed using IBM SPSS

175 Statistics (Version 22, IBM SPSS, Chicago, IL, USA). Significance was accepted at

176 P<0.05 (two-sided for t-tests). Data in the text are given as mean ± standard deviation

177 (SD).

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179 RESULTS

180 181 Data from a total of 162,991 men and 34,833 women were available for analysis. Men

182 were mainly participating between 35 and 45 years, women between 25 and 35 years

183 with a second peak at ~40 years (Figure1). The men-to-women ratio increased highly

184 significantly (r2=0.55, P<0.0001) across ages (Figure 2).

185 186 Men (44.27±0.03 years) were 5.98±0.07 years older (P<0.0001) than women

187 (38.29±0.06 years) (Figure 3). Men (15.73±0.01 km/h) were 2.14±0.02 km faster 188 (P<0.0001)ACCEPTED than women (13.58±0.01 km/h) (Figure 4). 189 190 Considering the fastest women and men in 1-year age intervals, the fastest speed for

191 men (30.33 km/h) (Figure 5) was at the age of 29 years and for women (28.76 km/h)

192 at the age of 24 years (Figure 6).When all men were considered, athletes at the age of

193 18 years were the fastest with 17.69±4.68 km/h (Figure 7). For all women, athletes at

194 the age of 17 years were the fastest with 15.76±4.35 km/h (Figure 8).

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195 196 DISCUSSION

197 198 This study determined the age of peak marathon performance in the Engadin Ski

199 Marathon and hypothesized it would be similar to running marathons. The most

200 important findings were (i) when the fastest skiers were considered, the fastest speed

201 was achieved at the age of 29 years in men, but at 24 years in women, and (ii) when

202 all skiers were considered, the fastest speed was achieved at 18 years in men and 17

203 years in women.

204 205 The fastest women and men in 1-year age intervals

206 A first important finding was that women (17 years) were at a similar age like men

207 (18 years) when the fastest women and men were considered in 1-year age intervals.

208 These ages are far below the reported ages of elite marathon runners achieving their

209 best marathon race times at the age of ~29-30 years (9). A potential explanation could

210 be that cross-country skiing is a highly technical discipline compared to running and

211 younger athletes are better in a technical sport than older athletes. A further

212 explanation could be that the overall race time is considerably faster in this skiing

213 marathon than in a running marathon which might also enhance performance in

214 younger athletes since it has been reported that older athletes preferably compete in 215 longer raceACCEPTED distances compared to younger athletes (1). 216 217 The different age of peak performance between marathon skiing and marathon

218 running might be attributed to physiological factors (e.g. aerobic capacity, body

219 composition and muscle strength), too. Both events rely mostly on the aerobic energy

220 transfer system; thus, both marathon skiers and runners should possess high aerobic

221 capacity (i.e. maximal oxygen uptake, VO2max). However, compared to runners,

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222 skiers recruit their upper body in a larger degree, which might explain why cross-

223 country skiers are the athletes that exhibit the highest values of VO2max ever reported

-1 -1 224 (6). For instance, VO2max values for skiers that reach 80-90 ml·min ·kg in men and

225 70-80 ml·min-1·kg-1 in women (16). However, physiological parameters such as

226 VO2max do not fully explain the exercise economy in cross-country skiing (15).

227 228 Since cross-country skiing is a sport relying in VO2max more than marathon running,

229 it is reasonable to assume that the best skiers would be at an age closer to the

230 biological peak of VO2max than the marathon runners. It has been reported that the

231 age of peak athletic performance is at the age of ~26 years when 25 Olympic sports

232 events were analyzed (2). In addition to the discrepancy of age of peak performance

233 between skiers and runners, the age-related variation of VO2max might explain sex

234 differences in the age of peak performance, i.e. earlier peak of VO2max in women

235 than in men. Moreover, there is evidence from a study on adolescent athletes that

236 physiological correlates of performance might vary by sex (18). Performance in girls

237 correlated mostly with aerobic capacity, whereas with upper body and trunk strength

238 in boys. The relatively young age of peak performance in cross-country skiing

239 compared to running marathon might be explained also by the age of peak muscle

240 strength. In skiing, due to the intense use of upper body and trunk (165), a relatively

241 larger amount of muscle strength is needed, which privileges the younger athletes. 242 ACCEPTED 243 Also, technical aspects should be considered, because by using an optimal technique

244 the metabolic energy transforms into faster speed (16). Cross-country skiing has two

245 basic propulsion techniques, the classic and the skate skiing technique (7, 8). While

246 the classic technique relies on a wax or texture on the ski bottom under the foot for

247 traction on the snow to allow the skier to slide the other ski forward in virgin or

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248 tracked snow, with the skate skiing technique the skier slides on alternating skis on a

249 firm snow surface at an angle from each other in a manner similar to ice skating. Both

250 techniques employ poles with baskets that allow the arms to participate in the

251 propulsion. Both poles can be used simultaneously (i.e. double-poling), or alternating,

252 in classic the alternating technique is most common (i.e. diagonal stride) while in the

253 skating technique double poles are more common. The classic technique was used late

254 into the Eighties in the last century and the skate skiing technique is relatively new. In

255 the ‘Engadin Ski Marathon’, tracks for both techniques are available. It has been

256 shown that the speed in the skate skiing technique is ~10-30% faster compared to the

257 classic technique. A potential explanation could be that younger athletes learn the

258 skate skiing technique easier than older athletes and/or several older athletes start

259 cross-country skiing at a higher age (i.e. newcomer in this sport).

260 261 The aspect of drafting should also be considered. In a field of thousands of athletes,

262 young and fast athletes may start very fast and other fast athletes may be able to

263 follow in their slipstream. It has been shown that skiing behind another skier in a

264 classical cross-country ski race is advantageous and can help racers using energy. This

265 saved energy may help to achieve a faster mean speed during the whole race (3, 4).

266 267 All women and men in 1-year age intervals 268 A second importantACCEPTED finding was that women (24 years) were ~5 years younger than 269 men (29 years) when all women and men were considered in 1-year age intervals. The

270 age of 29 years for men is ~5 years younger compared to the age of male marathoners

271 competing from 1979 to 2014 in the ‘’, where the fastest

272 performance was achieved at the age of ~34 years (13). A likely explanation could be

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273 that Lehto (13) considered a longer time frame (1979-2014) and a higher number of

274 subjects with 312,342 male runners.

275 Considering the cross-country skiers in this race, women competed preferably at a

276 younger age (i.e. in their thirties) compared to men who competed preferably more in

277 the forties. A further explanation could also be the age distribution between women

278 and men. More women were competing in this race at ~25-35 years whereas men

279 were preferably competing at the age of ~35-45 years. Moreover, the men-to-women

280 ratio increased highly significantly across ages indicating that more men were

281 competing at the higher ages compared to women.

282

283 Also the topography of the cross-country race could be a reason. When the age of

284 peak marathon performance was compared between mountain and city marathon

285 running, the fastest man in running was ~35.6 years and the

286 fastest women ~34.5 years old when the fastest runners (11). When all finishers were

287 considered, the fastest men were ~29.1 years old and the fastest women were ~25.6

288 years old. In city marathon running, the fastest man was ~23.7 years old and the

289 fastest woman ~32.2 years old. When all finishers were considered in 1-year age

290 intervals, the fastest men were ~35.0 years old and the fastest women ~33.8 years old

291 (11). Obviously, in hilly terrain, younger athletes seemed to be at an advantage 292 compared toACCEPTED flat terrain 293 294 Limitations

295 A limitation of the present study was that the findings on the age of peak performance

296 in the cross-country skiing race under examination should be generalized with caution

297 to other races. Each race has its own unique characteristics, such as elevations and

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298 environmental conditions (e.g. temperature and humidity), which influence

299 performance.

300

301 PRACTICAL APPLICATIONS

302 In summary, the age of peak performance in cross-country skiers competing in a

303 marathon distance was much younger and closer to the age of peak aerobic capacity

304 than what was found by previous studies in marathon runners. Future studies need to

305 examine the age of peak performance in cross-country skiing in shorter distances with

306 regards to the age of peak running performance of the same distances. Strength of the

307 study was the very large number of skiers that allowed drawing safe conclusions

308 about the age of peak performance. This information is useful for researchers focusing

309 on the study of master athletes as a model of successful aging. Since no previous

310 study on this topic on cross-country skiing was ever conducted, the findings could be

311 used in future studies as reference. Coaches and athletes can also benefit from such

312 information, which help them develop sex- and age-tailored training programs.

313 314 REFERENCES 315 316 1. Allen SV and Hopkins WG. Age of peak competitive performance of elite

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323 country skiing. Med Sci Sports Exerc 26: 637-641, 1994.

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324 4. Bilodeau B, Roy B, and Boulay MR. Effect of drafting on work intensity in

325 classical cross-country skiing. Int J Sports Med 16: 190-195, 1995.

326 5. Carlsson M, Assarsson H, and Carlsson T. The influence of sex, age, and race

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342 11. Knechtle B, Nikolaidis PT, Zingg MA, Rosemann T, Rüst CA. Differences in 343 ageACCEPTED of peak marathon performance between mountain and city marathon 344 running - The ‘Jungfrau Marathon’ in Switzerland. Chin J Physiol 60: 11-22,

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348 13. Lehto N. Effects of age on marathon finishing time among male amateur

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351 14. Leyk D, Erley O, Ridder D, Leurs M, Rüther T, Wunderlich M, Sievert A,

352 Baum K, and Essfeld D. Age-related changes in marathon and half-marathon

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354 15. Losnegard T, Schäfer D, and Hallén J. Exercise economy in skiing and

355 running. Front Physiol. 5:5, 2014

356 16. Sandbakk Ø and Holmberg HC. A reappraisal of success factors for olympic

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360 120, 1988.

361 18. Stöggl R, Müller E, and Stöggl T. Motor abilities and anthropometrics in

362 youth cross-country skiing. Scand J Med Sci Sports 25: e70-e81, 2015.

363 364 365 FIGURE LEGENDS 366 367 368 Figure 1 The number of women and men in 1-year age intervals. The peak in 369 ACCEPTEDparticipation was at a higher age in men compared to women. 370

371 Figure 2 The men-to-women ratio across 1-year age intervals with an increase

372 with increasing age.

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374 Figure 3 Box-Whisker-Plot (mean ± 95% confidence interval) for age in men

375 and women

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376

377 Figure 4 Box-Whisker-Plot (mean ± 95% confidence interval) for speed in men

378 and women

379

380 Figure 5 The average speed of the fastest men as a function of age presented in

381 1-year age intervals

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383 Figure 6 The average speed of the fastest women as a function of age presented

384 in 1-year age intervals

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386 Figure 7 The average speed of the fastest men as a function of age presented in

387 1-year age intervals. Data are presented as mean ± standard deviation.

388

389 Figure 8 The average speed of the fastest women as a function of age presented

390 in 1-year age intervals. Data are presented as mean ± standard

391 deviation. ACCEPTED

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ACCEPTED 392 393 Figure 1 394 395

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397 398 Figure 2 399 400

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404 405 406 Speed (km/h) Speed

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407 408 Figure 4 409

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410 411 412

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10 ACCEPTED 20 40 60 80 Age (years) 413 414 Figure 5 415

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20 Speed (km/h) Speed

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10 ACCEPTED 20 40 60 80 Age (years) 416 417 Figure 6 418

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15 Speed (km/h) Speed

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5 ACCEPTED 20 40 60 80 Age (years) 419 420 Figure 7 421

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423 424 Figure 8

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