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Physiological and training correlates of marathon running performance

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:c Physiological and Training Correlates of
'- Marathon Running Performance
CARL FOSTER, JACK T. DANIELS and RICHARD A. YARBROUGH
Department of Health, Physical Education and Recreation
University of Texas at Austin
Austin, TX 78712
ABSTRACT: Phys.iological and Training Correlates determinants or marathon running performance
of Marathon Running Performance. C. Foster, J. T. using a longitudinal approach.
Daniels and R. A. Yarbrough. Aust. J. Sports
Medicine 9 (58-61) 1977. Methods
The importance of submaximal and maximal .Twe~ty-three experienced marathon runners
oxygen uptake during treadmill running and of provided Inform~d.consent and .served at subjects.
variations in the volume of training to marathon .some characteristiCS of the subjects are r?resented
performance was evaluated in 23 experienced In T~ble 1. Although so~e of the subjects had
~arathon runners. The correlation between relatively low values for VO 2 max and compara-
VO 2 max and the best performance by each indi- tively slow performances, they were regarded as
vidual (r =-0.86) was significant and of similar se~i~us competitors on. the basis of thei~ regu.lar
magnitude to that reported previously for groups training, f~equen.t racing and goal orientation
of well-trained middle and long distance runners. tow.ard their ru!lnlng perforr!:'ance. Oxyg.en upt~ke
Although of importance in some individual cases, during subm.axlmal ':lnd maxlm~l.treadmlll running
there was no net relationship between the sub- was determined usl.ng a .modlfled Douglas bag
maximal aerobic demands and performance. procedure (7). Expired air was analysed for a
Marathon performance was significantly related to and CO content using the Haldane techniqU;
the volume of training done during the two 2 '
months preceeding competition. It was concluded gas volumes were determined in a balanced
that performance differences between individuals spirometer. During the submaximal run, the speed
are primarily dependent upon differences in VO of th~ trea~mill was adjl!sted to 230 m/min during
2 the first minute of running. Oxygen uptake was
max and that variations in training can explain determined after six minutes of running and was
much of the performance variation within the accepted as a steady state value. The maximal
same individual. treadmill run was begun at a speed calculated to
require about 75~1o of VO max. After two min- . '
The marathon (42km) is an event that taxes . 2,. "
the capabilities of the greatest runners, yet pro- utes ~he eleva:lon of t~e treadm~11 w':ls I.ncreased
vides a rewarding challenge for even the most by 2 Yo per minute un:11 the subject In.dlcated he
untalented individual. The physiological character- could no longer c.ontln~e. Exp!red air w~s ~ol-
istics of elite marathon runners are well doc- lected from the third minute. until the termination
umented. These athletes are characterized by of the test. The greatest VO observed during
great aerobic power (2,4,6), running economy . 2 .
(4, 6), a preponderance of slow twitch muscle the test was accepted as VO 2 max for the subject.
fibres (6) and great oxidative enzyme activity in
the skeletal muscles (6). Recent studies (5, 6, 19) Marathon performances on courses of known
have shown that many of these characteristics accuracy were recorded during a two year period.
are related to middle and long distance running Twelve subjects, who ran more than one marathon
throughout the continuum of performance ability. during the period. were able to provide relatively
Marathon runners are also well known for the detailed records of their training. These records
large volume of training done in preparation for were evaluated in terms of average weekly training
their races. Questionnaire data (13, 22) have volume during the two months preceeding each
demonstrated a significant relationship between race. Statistical comparisons were made between
training volume and marathon performance. the two best performances by each of these sub-
jects during the experimental period.
Almost all of the prior data concerning mara-
thon perfo!mance have, however" been bas~d .o!l Results and Discussion
cross-sectional samples. Accordingly, the slgnlfl- .
cance ?f the .observ~~ relationships between The best marathon performance by each
~e~aboIIC function, training and performance are .subject during the experimental period was highly
?Ifflcu!t t<:> evaluate. The purp~se of the present related to VO max for that subject (Figure 1).
Investigation was to -re-examine some of the 2
58 AUSTRALIAN JOURNAL OF SPORTS MEDICINE !~
~,q,~
~ ~
Table 1. Characteristics of the Subjects ..#~~
. - - - .-;:;~~~
Age Height Weight % Fat VO 2 max Best Perform~~ ~~i
-1 ~-#
(years) (cm) (kg) (ml/kg x min) (minutes)
,. . . -
Mean 35.0 177.2 68.3 8.5 61.9 184.6 :...~
S.D. 9.1 8.0 9.3 1.4 5.6 23.0
Range 19-51 152-191 40.5-84.1 6.6-12.9 49-73 143.3-248.4
. remarkable performances. Comparable individual
2<1) - x COSTILL 1970 results were evident in the present data. On the
U) " . : ~~6~LL ~~~~ average, h?wever, ~ifferences in running economy
~ " were relatively unimportant as determinants of
;: "" marathon running performance~~
210 - . "" .
~ """ Table 2. Comparison of Best and Se~nd Best
~ '.,' Marathon Performances during the Experimental
~ lro. . "~, Period (N = 12).
. '
"0 " . Best Second Best I
~ . '~ Performance Performance t p
I l.:i) . ';'". TIm~ 150.8 200.7 3.91 .01
I- . ", (minutes)
V> ',0
~ ", Tra1ning Vo!um3 91.1 76.3 3.64 .05
" (km/week)
120 ",
Marathon performance improved markedly
!:X) ro 70 ro with increases in the volume of training. There
. -1 was a significant difference in training volume
't~ MAX VVKG X MIN ) prior to the best and second best performances
Figure 1. The relationship between VO max and the for the 12 subjects running more than on marathon
.subje~t's .best marathon performance durin~ the period of during the experimental period. J:a~le 2). qn
Investigation. Mean values for groups of elite and national the average a 15.6 km/week (20 10) Increase In
caliber marathon runners are included for reference. training volume was associated with a 9.9 min
(5%) improvement in performance. The present
The magnitude of the correlat. n b t va res.ul.ts indicate a much stronger link be~ween
10 e ween 2 training and performance than reported previously
max and performance (r = -0.86) is comparable (13, 22). These prior results were obtained from
to that previously reported for middle and long cross-sectional material and were presumably
distance runners (5, 19). These results demon- confounded by the tendency for more successful
strate the great importance of va max to per- runners to do more training. This trend is evident
2 in the present data (Figure 2). Increases in ,..,
formance during prolonged exercise. Since the
magnitude of the response of va max to training
2
(11) is small compared to the range of values .
observed within the population (20), the impor- ' tance of "natural selection" as a determinant of 240
competitive success becomes apparent. ~
R~nning economy, as evidenced by the steady i:: \~"'~
state va at 230 m/min, did not appear to be '--' ~
2 210
highly related to marathon performanc~ (r = 0.36). ~
Integration of running economy and va max as ~~::~~~:
2 ~
the percent of va 2 max required to run at 230 ~ 19)
m/min did not y~eld a higher correlation with ~
performance than VO max alone. Costill (3) has ~ %~
noted that individual2differences in running econ- ~ 150
omy may determine competitive- success between I
individuals well matched for V02 max. Costill .' I , , I I I I I I I 1.- I
(6) and Daniels (9) have noted that superior run- 50 100 150 I
. ning economy may allow individuals with compara- TRAlr~ING VOLll'£ (tfJ'VIo,f:EK)
tlvely low values for va max to produce Figure 2. The r~lationship between pre-race training and
- 2 performance for twelve subjects.
NOV./DEC. 1977. - 59
.,:c~",:..'o'""-~ ,c~.";"'!~"~,~.,:;.-- -. ;;'~~;f"~~'iT~;:,-,tf!;:q,,.%; .
'~ '" ;./ ~
. r~ "', "I- ,"
) .., - ,\ ,
V ~
~~ ~, .tr~ining volum~ were associated with improved ACKNOWLEDGEMENTS
\ performances In both slow and fast runners,
)~Ithough the inc~eased training appeared to be This research was supported in part by a grant
~omewhat more Important to the slower runners. from the Graduate School of the University of
Texas at Austin.
The dependence of performance upon the
volume of training was not an unexpected finding. REFERENCES
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ular interest in the present case was the quantita- 1. Bergst~om, ~., L. Hermansen, E. Hultman and
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4. Costill, D. L., G. Brankam, D. Eddy and
.. . K. Sparks. Determinants of Marathon Running
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the potential mechanisms by which Increases In 254 1971
the volume of training could e~fect improved per- 5. Co;till, D.. L., H. Thomason and E. Roberts.
for~~nce. _Eleven of the subjects performed an Fractional Utilization of the Aerobic Capacity
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following the initial testing. The mean values for 5: 2~8-254, 1973. .
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not significantly different and are consistent with ~.u~cle Flb~r Co.mposltlon and Enzyme Ac~-
previous findings of relatively stable values for Ivltles of Elite Distance Runners. Med. SCI.
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include increases in muscle glycogen concentra- 8. Daniels, J. and N. Old ridge. Changes in
tion (14). In view of the correspondence between Oxygen Consumption of Young Boys during
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muscle to training may be proportional to the 10. Daniels, J. Running with Jim Ryun. A Five
volume of training done. Further support for the Year Study. Physician and Sports Med. 2: ,'~
concept that skeletal muscle is the site of adap- 63-67, 1974.
tation to training among well trained individuals 11. Ekblom, B. Effect of Physical Training on
is provided by findings of relative independence Oxyg.en Transport System in Man. Acta.
. of the increase in VO max and skeletal muscle P~ysiol. Scand. Suppl. 328, 1969. ,
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that interindividual differences in marathon run- 13. Foster, C. and J. Daniels. Running By The
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60 AUSTRALIAN JOURNAL OF SPORTS MEDICINE
~~ .~
~-,.",~ "j
~ f
~,.
,...
18. Maron, M. B., S. M. Horvath, J. E. Wilkerson 21. Sjodin, B., A. Thorstensen, K. Frith and .': ~
and J. A. Gliner. Oxygen Uptake Measure- Karlsson. Effect of Physical Training on.~,'i --
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J. Appl. Physiol. 40 : 836-838, 1976. Skeletal Muscle. Acta. Physiol, Scand. ( I :
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Maximum Oxygen Intake and Its Relationship 22. SIOVIC, P. What Makes a Marathc.)/ler'1
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353-358, 1967. 1976.
~
NEWS the sale of alcohol is banned and pubs in the
district close down for fear of trouble.
VIOLENCE A CURSE OF FOOTBALL At grounds where alcohol is on sal.e conditions
. are so crowded as to turn normal drinkers away.
By Lawrie Kavanagh, who recently visited Mosco\v, I saw Arsenal
P la y West Ham recently at Arsenal's
England and Europe. .
home ground a short tube ride from central
Football and sporting crowd behaviour has London. The main public bars there were merely
undergone a world wide change in recent years, counters serving onto the major thoroughfares
but Australia still appears to be the lucky country of the main grandstand. Drinking conditions on
where reasonable behaviour is concerned. a normal day were outrageous.
The odd fight in the Outer appears harmless I have been a constant critic of Lang Park
by world standards and the can throwing incidents, drinking facilities but I started to re-think the
although appalling to the average sports goer, situation after seeing the drinking facilities in
is only a drop in the ocean compared to the England and Europe. Lang Park is way ahead,
violence in English soccer alone, and getting better all the time.
Crowd violence in sport stems from many Italian soccer crowds are among some of the
sources and usually varies from country to country, biggest in Europe and they have their associated
according to political and socia! pressures. violence, but for a different reason to the English.
In England, for instance, most violence is blamed Again according to the local experts, alcohol is
on groups between the age of 12 and 16 years not the major cause of violence at Italian soccer
. . . . kids from lower income homes who find it matches. It is, according to the expert I spoke to,
hard to get jobs and generally feel rejected. a release of political pressure Italians build up
This group is blamed for the incredible violence during the week.
before, during and after soccer matches through- "Many people are worried about the political
out England violence that has become accepted future of Italy," one Italian official told me. "There
as the form' for modern soccer matches, is so much uncertainty about which way Italy is
There seems little sporting officials or the police going politically that people really build up
can do to stop this violence outside the grounds, pressure during the week and look for some re-
Inside they can evict unruly spectators. lease at the weekend. "Soccer gives that release
But outside its hard to control thousands of at the weekend. Italians can get out and let off
youngsters who surge like an angry dragon steam at the football, and naturally there is some
through the streets destroying anything in sight violence." Italian soccer matches draw 50,000
if the whim takes them. and 60,000 fans, so authorities have some trouble
One of England's most famous clubs, Man- controlling them.
chester United, also has one of the most in In Russia soccer is one of the major sports
famous group of fans. When Manchester United and crowds of up to 100,000 for club matches
plays an away game, thousands of these fans are not uncommon. In crowds like that there is
travel by rail to the away-from-home venue, troop- bound to be some violence, but football authorities
ing from the railway station to the ground on foot, believe they have found the answer, a total ban of
destroying property and tars as they go. vodka sales at football matches. This is very
It has become so common place today that restrictive because vodka is the lifeblood of the
when teams with supporters like ~Aanchester Russian drinker. He drinks it at all meals except
United are playing away from home, shop keepers, breakfast. But if he drinks too much" vodka, .a
publicans and private homeowners on streets Russian is likely to become firy. So vodka IS
leading from the station to the ground, board up banned at Russian football matches. R~ssian
their shops, pubs and houses and get OIJt of football followers, however, are not left without
town for the day. No one lea'ies his car on a a drink while they \vatch their favourite sport.
street anywhere near a ground depending on the One Russian sports official told me. "There is
result, depending on the mood of the fans after plenty of good Russian beer on sale at .football
a match, a train can be almost wrecked by home but it is not the same as vodka A Russian can
going spectators disappointed with their team's drink beer all day and not get drunk. They are
effort. big beer drinkers. But too much vodka and there
According to the _experts alcohol plays only a can be trouble. Since vodka was banned at
small part in these incidents. At some grounds soccei matches we don't have a lot of trouble."
NOV./DEC. 1977 'c;I,;, I'tf'-!c)i..,;'f ::" 61
"., cc,.
... In the case of road runners, their time spent training is probably more similar to that reported for other endurance runners (Enoksen et al., 2011), although the training of road and trail runners is often reported in distance run, and therefore an exact comparison is difficult. A relationship between higher running volumes and performance has been shown in runners of different levels, ranging from recreational to elite (Casado et al., 2021;Foster et al., 1977). Furthermore, it has been shown that Kenyan world-class runners performed more training than European-level or National-level Spanish runners and this training difference explained the differences in performance (Casado et al., 2020). ...
... Furthermore, it has been shown that Kenyan world-class runners performed more training than European-level or National-level Spanish runners and this training difference explained the differences in performance (Casado et al., 2020). Furthermore, Foster et al. (1977) showed that an 20% increase in weekly training volume (15.6 km/week, on average) of recreational marathon runners was associated with a 5% improvement in marathon time (9.9 min on average). ...
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The objectives of this thesis were to investigate the performance determinants of trail running, and to evaluate the changes in running economy following prolonged endurance running exercise. First, we tested elite road and trail runners for differences in performance factors. Our results showed that elite trail runners are stronger than road runners, but they have greater cost of running when running on flat ground. In the second study, we evaluated the performance factors that predicted performance in trail running races of different distances, ranging from 40 to 170 km. We found that maximal aerobic capacity was a determinant factor of performance for races up to 100 km. Performance in shorter races, up to approximately 55 km, was also predicted by lipid utilization at slow speed, while performance in the 100 km race was also predicted by maximal strength and body fat percentage. The most important factors of performance for races longer than 100 km are still debated. We also tested the effects of trail running race distance on cost of locomotion, finding that cost of running increased after races up to 55 km, but not after races of 100-170 km. Finally, we tested the. effects of two different exercise modalities, cycling and running, on cost of locomotion, after 3 hours of intensity-matched exercise. Cost of locomotion increased more following cycling than running, and the change in cost of locomotion was related to changes in cadence and loss of force production capacity.
... Second, marathon running performance is likely to be influenced by a multitude of factors, including a number outside of those explored within this study. Other factors that may explain further variance in marathon running performance times may be: training history (Foster et al. 1977;Kenefick et al. 2007), pacing strategies and race tactics (Renfree and Gibson 2013;Hanley 2015), drafting techniques (Hoogkamer et al. 2018), weather (Helou et al. 2012), altitude (Hamlin et al. 2015), pollution (Tian and Brimblecombe 2008), and nutrition (Burke et al. 2007). Additionally, considerable inter-individual variation in the improvements within running economy provided AFT has been demonstrated (− 1.59 to − 6.26%) in the Nike Vaporfly 4% reported by Hoogkamer et al. (2017) to − 11.4 to + 11.3% in different Adidas AFT reported by Knopp et al. (2023), and as such it is likely that the magnitude of improvement attributed to the footwear will vary accordingly. ...
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Purpose: The aim of this study was to explore the ergogenic effect of Advanced Footwear Technology (AFT) upon world-class male marathon running speed. Method: A retrospective analysis of 99 world-class male marathon runners’ performances between 2012 – 2021 was undertaken, providing a sample size of 971 performances, split into two footwear groups: AFT (n = 299) and traditional (n = 672). Additionally, details regarding the year of the marathon performance and racecourse were extracted. A mixed model for repeated measures (MMRM) analysis were undertaken identifying athlete (Wald Z = 2.821; p = .005) and course (Wald Z = 4.111; p < 0.001) as significant contributors to the variance in marathon running speed and as such were included as random factors with footwear type set as a fixed factor. Results: World-class male marathon running speeds were significantly faster (p <0.001) when running in AFT (5.441 m.s-1) when compared with traditional shoes (5.386 m.s-1) with a mean difference of 0.055 m.s-1 (95% CI: 0.039 – 0.071 m.s-1), translating to an improvement in marathon speed of 1.0% or a 79s improvement in marathon race time. Conclusion: Our findings demonstrate an improvement in world-class male marathon running speed of 1% when running in AFT, a near identical degree of improvement to the male marathon world record ran in AFT. Whilst a 1% improvement in marathon running times associated with AFT is smaller than previously predicted utilising laboratory-based models, this still reflects a significant degree of improvement at the elite level.
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This study examined physiological and race pace characteristics of medium- (finish time < 240 min) and low-level (finish time > 240 min) recreational runners who participated in a challenging marathon route with rolling hills, the Athens Authentic Marathon. Fifteen athletes (age: 42 ± 7 years) performed an incremental test, three to nine days before the 2018 Athens Marathon, to determine maximal oxygen uptake (VO2 max), maximal aerobic velocity (MAV), energy cost of running (ECr) and lactate threshold velocity (vLTh), and were analyzed for their pacing during the race. Moderate- (n = 8) compared with low-level (n = 7) runners had higher (p < 0.05) VO2 max (55.6 ± 3.6 vs. 48.9 ± 4.8 mL·kg−1·min−1), MAV (16.5 ± 0.7 vs. 14.4 ± 1.2 km·h−1) and vLTh (11.6 ± 0.8 vs. 9.2 ± 0.7 km·h−1) and lower ECr at 10 km/h (1.137 ± 0.096 vs. 1.232 ± 0.068 kcal·kg−1·km−1). Medium-level runners ran the marathon at a higher percentage of vLTh (105.1 ± 4.7 vs. 93.8 ± 6.2%) and VO2 max (79.7 ± 7.7 vs. 68.8 ± 5.7%). Low-level runners ran at a lower percentage (p < 0.05) of their vLTh in the 21.1–30 km (total ascent/decent: 122 m/5 m) and the 30–42.195 km (total ascent/decent: 32 m/155 m) splits. Moderate-level runners are less affected in their pacing than low-level runners during a marathon route with rolling hills. This could be due to superior physiological characteristics such as VO2 max, ECr, vLTh and fractional utilization of VO2 max. A marathon race pace strategy should be selected individually according to each athlete’s level.
... 3 Several studies have investigated the influence of training volume, intensity and frequency on athletic performance, with performance generally improved with increases in training load. [4][5][6][7][8][9][10] In individual sports (eg, swimming and running) greater training volume, 4 8 and higher training intensity 5 6 8 improved performance. In a study of 56 runners, cyclists and speed skaters undertaking 12 weeks of training, a 10-fold increase in training load was associated with an approximately 10% improvement in performance. ...
... However the association between RE and P is equivocal (Ingham et al., 2008). Some studies investigating runners competing in distances from 800m to the marathon report a positive correlation between increasing RE and increasing P time (Conley & Krahenbuhl, 1980;Farrell, Wilmore, Coyle, Billing, & Costill, 1979;Grant, Craig, Wilson, & Aitchison, 1997;Mclaughlin et al., 2010;Morgan et al., 1989a;Tartaruga et al., 2012), and some report no correlation between RE and P times (Arins, Da Silva, Dal Pupo, Guglielmo, & Dos Santos, 2011;Costill et al., 1973;Evans et al., 1995;Foster, Daniels, & Yarbrough, 1977;Iaia et al., 2009;Mooses et al., 2015;Slattery, Wallace, Murphy, & Coutts, 2006;Weston, Mbambo, & Myburgh, 2000). ...
... However the association between RE and P is equivocal (Ingham et al., 2008). Some studies investigating runners competing in distances from 800m to the marathon report a positive correlation between increasing RE and increasing P time (Conley & Krahenbuhl, 1980;Farrell, Wilmore, Coyle, Billing, & Costill, 1979;Grant, Craig, Wilson, & Aitchison, 1997;Mclaughlin et al., 2010;Morgan et al., 1989a;Tartaruga et al., 2012), and some report no correlation between RE and P times (Arins, Da Silva, Dal Pupo, Guglielmo, & Dos Santos, 2011;Costill et al., 1973;Evans et al., 1995;Foster, Daniels, & Yarbrough, 1977;Iaia et al., 2009;Mooses et al., 2015;Slattery, Wallace, Murphy, & Coutts, 2006;Weston, Mbambo, & Myburgh, 2000). ...
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Improvements in running economy (RE) are thought to lead to improvements in running performance (P). Multiple interventions have been designed with the aim of improving RE in middle and long-distance runners. The aim of this study was to assess the effect of interventions of at least 2-weeks’ duration on RE and P and to determine whether there is a relationship between changes in RE (ΔRE) and changes in running performance (ΔP). A database search was carried out in Web of Science, Scopus and SPORTDiscus. In accordance with a PRISMA checklist 10 studies reporting 12 comparisons between interventions and controls were included in the review. There was no correlation between percentage ΔRE and percentage ΔP (r = 0.46, P = 0.936, 12 comparisons). There was a low risk of reporting bias but an unclear risk of bias for other items. Meta-analyses found no statistically significant differences between interventions and controls for RE (SMD (95% CI) = −0.37 (−1.43, 0.69), 204 participants, p = 0.49) or for P (SMD (95% CI) = −0.65 (−26.02, 24.72, 204 participants, p = 0.99). There is a need for studies of greater statistical power, methodological quality, duration and homogeneity of intervention and population. Standardised measures of performance and greater control over non-intervention training are also required.
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Despite the popularity of physiological wearable sensors in sport activities to provide feedback on athletes’ performance, understanding the factors influencing changes in athletes’ physiological rhythms remains a challenge. Changes in physiological rhythms such as heart rate, breathing rate, or galvanic skin response can be due to both physical exertion and psycho-emotional states. Separating the influence of physical exertion and psycho-emotional states in activities that involves both is complicated. As a result, the influence of psycho-emotional states is usually underestimated. To identify the specific influence of psycho-emotional states in physiological rhythm changes, 28 participants were asked to participate in a zipline activity, which involve little or no physical exertion while stimulating psycho-emotional states. Using nonlinear analyses, results show that specific changes in physiological rhythms can be associated with phases in ziplining, after which they can be related to emotional states felt during the activity. Regarding data analysis of wearable sensors, this paper presents a workflow to identify significant physiological patterns across multiple athletes performing the same outdoor activity.
Article
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Purpose: Increases in maximal oxygen uptake (V̇O2max) and running economy (RE) improve performance in long-distance runners. Nevertheless, long-distance runners require sprinting ability to win, especially in the final phase of competitions. We determined the relationships between performance and sprinting ability, as well as other abilities in elite long-distance runners. Methods: The subjects were 12 elite long-distance runners. Mean official seasonal best times in 5,000-m (5,000 m-SB) and 10,000-m (10,000 m-SB) races within 1 year before or after the examination were 13:58.5 ± 0:18.7 and 28:37.9 ± 0:25.2 (mean ± standard deviation), respectively. We measured 100-m and 400-m sprint times as the index of sprinting ability. We also measured V̇O2max and RE (V̇O2 at 300 m min-1 of running velocity). We used a single correlation analysis to assess relationships between 5,000 m-SB or 10,000 m-SB and other elements. Results: There were significant correlations between 5,000 m-SB and 100-m sprint time (13.3 ± 0.7 s; r = 0.68, P = 0.014), 400-m sprint time (56.6 ± 2.7 s: r = 0.69, P = 0.013) and RE (55.5 ± 3.9 ml kg-1 min-1: r = 0.59, P = 0.045). There were significant correlations between 10,000 m-SB and 100-m sprint time (r = 0.72, P = 0.009) and 400-m sprint time (r = 0.85, P < 0.001). However, there was no significant correlation between 5,000 m-SB or 10,000 m-SB and V̇O2max (72.0 ± 3.8 ml kg-1 min-1). Conclusions: Our data suggest that sprinting ability is an important indicator of performance in elite long-distance runners.
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