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Biology of Sport, Vol. 40 No3, 2023 707
Ewan Clements et al. Travel demands for national team footballers
INTRODUCTION
In the absence of player data in the research literature, specic detail
related to national team travel demands is needed, as the inuence
of jet lag and travel fatigue will differ based on anumber of different
factors related to the journey. Time zone shifts of>3hare likely to
induce symptoms of jet lag, though athletic performance reductions
exist with greater time zone differences[8,9]. For example, reduc-
tions in intermittent and maximal sprint performance[4] and jump
performance[3,4] are observed after time zone shifts of>8h.
Similarly, long-haul travel of>22 hcan reduce sleep dura-
tion[5,6,10,11], which may explain elevated fatigue,[6,10] and
reduced intermittent sprint performance[6] and lower body power[5]
following arrival. In contrast, northbound travel of 10hwhere athletes
did not travel overnight had negligible effects on sleep and well-
ness[12]. The lack of effect from this ight may be attributed to the
northward direction of travel and thus lack of signicant time zone
change, while it is also possible that the timing of the ight relative
to the sleep period may be more critical than the duration of travel.
Thus, ights of roughly>10hwith time zone changes of>3hshould
be of concern given the likelihood of inducing jet lag symptoms or
The type and extent of travel for professional footballers
undertaking national team duties for anational football
federation
AUTHORS: Ewan Clements1,2, Fabian Ehrmann2, Andrew Clark2, Mark Jones2, Donna Lu1,2,
Rob Dufeld1,2
1 School of Sport, Exercise and Rehabilitation, Faculty of Health, University of Technology Sydney, Australia
2 Football Australia, Sydney, Australia
ABSTRACT: Elite football (soccer) involves club, continental and international xtures, requiring players to
undertake extensive travel[1]. For anational football federation, this includes the transport of players between
club and camp/tournament commitments, which is often apoint of contention between respective organisations[2].
Partly this contention results from the effects of travel, whereby jet lag and travel fatigue can negatively affect
physical performance[3–5] and athlete wellbeing[6,7]. Given the scarcity of data on elite players following
travel, an initial step for any national football federation is to understand the volume and nature of travel
undertaken by national team players. Such insight may better identify the schedule, timelines and needs of
athletes’ post travel. Better awareness of these travel needs can help maximise availability for training and
minimise the impact of travel related stresses on performance or wellbeing. However, the regularity and volume
of travel to national football team commitments has not previously been described. Further, travel demands
are likely to vary signicantly based on the location of the athlete and the national team camp. For countries
outside of Europe, such as Australia, the travel demands and ensuing effects on player preparation can be
substantial for both arrival into national team and on return to clubs[7]. Hence, detailed information regarding
the type, frequency, and extent of travel for national team duties is important to aid in planning optimal travel
schedules and interventions to assist players for international or club duty.
CITATION: Clements E, Ehrmann F, Clark A et al. The type and extent of travel for professional footballers
undertaking national team duties for anational football federation. Biol Sport. 2023;40(3):707–713.
Received: 2022-03-17; Reviewed: 2022-07-22; Re-submitted: 2022-07-27; Accepted: 2022-09-01; Published: 2022-10-06.
interrupting normal sleep cycles. Understanding the frequency and
extent of potentially problematic travel may assist national football
federations in planning training schedules and recovery interventions
following arrival.
Currently, only two studies report travel in national football teams,
with trips of 15hacross 4time zones[13] and 19hacross 11time
zones[7]. Separately, the travel schedules of Australian club sides
competing in Asian continental competitions report travel durations
of 10h[12] and 25.6h[11]. However, these reports do not de-
scribe the full range of travel demands likely to be experienced or al-
low planning for the diversity of demands for national team players.
Furthermore, it is possible that the travel demands for players con-
tracted to clubs outside of their home continent are greater than play-
ers within the national domestic competition. For anational football
federation based outside of Europe, such as Australia, alarge num-
ber of national team players are contracted to European and Asian
clubs. Agreater understanding of the travel demands of national
team players based on club location can inform tailored travel sched-
ules and interventions based on specic needs. Accordingly, the aim
Original Paper
DOI: https://doi.org/10.5114/biolsport.2023.119288
Key words:
Soccer
Jet lag
Travel fatigue
National team transition
Performance
Corresponding author:
Ewan Clements
School of Sport, Exercise and
Rehabilitation, Faculty of Health,
University of Technology Sydney,
Australia
E-mail: Ewan.J.Clements@
student.uts.edu.au
ORCID:
Ewan Clements
0000-0002-7371-1773
Donna Lu
0000-0001-6294-4953
Fabian Ehrmann
0000-0002-7371-1773
Rob Dufeld
0000-0002-5641-1314
708
Ewan Clements et al. Travel demands for national team footballers
reported in 3hgroupings to better report the range and frequency
of travel demands. For comparisons between club locations, all ights
were labelled as being either outbound (travelling to national team
duty, n=244) or return (returning to club from national team,
n=244). Transition trips between national team commitments or
to alocation other than the players club were excluded from loca-
tion-based comparisons (n=71).
Statistical Analysis
Descriptive data for mean, standard deviation, median, minimum,
and maximum values for all ight variables are reported. Shapiro-Wilk
normality tests demonstrated that the data was not normally distrib-
uted, and comparisons between club location groups for all travel
variables were assessed using non-parametric Kruskal-Wallis tests
from the “stats” package in R[14]with signicance set at p<0.05.
Where asignicant difference was observed between the groups,
pairwise comparisons were made using Dunn Tests[15] with Holm
corrected pvalues. All statistical tests were performed in the Rsta-
tistical software[14].
RESULTS
Amajority of trips involved time zone differences of≤3h (66%),
though 34% of ights involved differences of>3 hand 17% of
ights involved large time differences of≥8h(Figure1). The direc-
tion of time shifts included 50% westward travel, 43% eastward and
7% without any change in time zone. Travel times of≥10hoccurred
in 51% of trips, while 8% involved≥24htravel time. For ight
durations, 41% of trips involved≥10hight time, while 7% in-
volved≥20hight time. Most ights (64%) did not include overnight
travel, while 33% involved one night and 3% involved two nights.
The most common arrival time was in the evening between 18:00and
24:00 (39%), with early morning arrivals between 24:00and
09:00occurring for 23% of ights and 39% of ights arrived during
the day (09:00to 18:00). Players most often departed during the
day between 09:00and 18:00 (59%), while 21% of trips departed
in the evening (18:00–24:00) and 20% of trips departed in the
early morning (24:00–09:00).
Asignicant effect of player location on time zone change was
observed for both outbound (H=10.18, p=0.006; Table1) and
return (H=7.505, p=0.023; Table2) travel. Asian-based play-
ers crossed signicantly fewer time zones than Australian- (p=0.042)
and European-based players during outbound travel (p= 0.004),
and Australian-based (p=0.018) players during return travel.
Signicant differences for total travel time existed for both out-
bound (Table1) and return (Table2) travel (Outbound: H=6.159,
p=0.046; Return: H=16.754, p<0.001) and for total ight
time (Outbound: H=7.580, p=0.023Return: H=16.221,
p<0.001). Travel time was signicantly greater in Australian- com-
pared to European-based players for return travel (p=0.001) and
neared signicance for greater outbound travel duration (p=0.073).
Australian-based players had significantly greater return travel
of this study is to describe the nature and extent of travel performed
by Australian national team football players for international duties
over atwo-year period. In addition, this study compared the travel
demands for national duties between players based in Australian
(domestic), Asian and European club locations.
MATERIALS AND METHODS
Participants
Participants were 58male senior Australian national football (soccer)
team representatives who had undertaken travel to train or compete
for the national team between March 2018and November 2019.
Through contractual agreements, participants provided consent to
Football Australia for the use of their anonymous data for research
purposes, and human ethics approval was provided by the institu-
tional Human Ethics Committee (ETH20 –5080).
Data Collection
Details of all travel schedules undertaken as apart of Australian
national team duties between March 2018and November 2019were
provided by Football Australia. This included the details of 569dif-
ferent trips (including multiple ights per trip). Of note, during this
period the Australian team competed in the 2018FIFA World Cup
Finals in Russia, the 2019AFC Asian Cup Finals in the United Arab
Emirates, and the Round 2qualifying process for the 2022World
Cup. Participant data was anonymised prior to being provided with
player names replaced by numerical codes.
All ights were provided based on booked travel schedules, which
were then independently veried to obtain the actual arrival and de-
parture times through an online ight database (Flightera.net). For
each listed trip, the following data was extracted, i) total ight time
ii) total travel time iii) time zone change iv) number of overnights per
trip v) departure time vi) arrival time vii) number of trips per player
and viii) generic direction i.e. East/West. In dening these variables,
arrival and departure time relate to the specic time the aircraft took
off and landed, as reported via the online ight database. Total ight
time was measured as the duration of all ights included in the jour-
ney from departure to arrival location. The total travel time was the
difference between departure time and arrival time, and included
both ight time and stop-over time, however, did not include any ad-
ditional travel requirements outside air-travel. The time zone change
was calculated based on the difference between the arrival and de-
parture time zone on the day in which the player arrived and coded
for direction as East, West, or No change. Atrip was considered to
have occurred overnight if the arrival time was later than midnight
of the day of departure. The geographical continent in which aplay-
er competed at club level at the time of travel was provided by Foot-
ball Australia and was used for comparisons between the travel de-
mands of players in Australia, Europe and Asia. All ight measures
for each player were collated in aMicrosoft Excel spreadsheet and
time-based measures were converted into adecimal of hours (i.e.
12h30min was equal to 12.5h). Time-based variables are
Biology of Sport, Vol. 40 No3, 2023 709
Ewan Clements et al. Travel demands for national team footballers
return travel, Australian-based players arrived signicantly earlier in
the day than European-based players (p=0.035). Signicant dif-
ferences existed in departure time for return (H=9.556, p=0.008),
but not outbound travel (H=2.050, p=0.359). Post-hoc analy-
sis showed signicantly earlier departure times for European com-
pared to Asian-based players (p=0.049) for return trips.
No signicant differences existed for the total number of trips per
player for outbound (H=3.967, p=0.138) or return (H=3.694,
p=0.158) travel. Signicant differences existed in the number of
trips in both eastward (Outbound: H=31.282, p<0.001Return:
H=20.497, p<0.001) and westward (Outbound: H=28.667,
p<0.001Return: H=31.468, p<0.001) directions. European-
based players completed signicantly more outbound eastward trips
than both Australian (p<0.001) and Asian-based players
(p=0.016) and signicantly less westward outbound trips than
duration (p=0.001) and neared signicance for greater outbound
travel duration (p=0.064). Total ight time for both outbound and
return groups was signicantly greater for Australian-based players
(European Outbound: p=0.030Return: p=0.003; (Asian Out-
bound: p=0.043Return: p=0.001).
The number of overnight trips per player was signicantly differ-
ent between groups for both outbound (H=6.066, p=0.048) and
return (H=11.850, p=0.003). With Bonferroni correction, no
pairwise comparisons reached signicance for outbound travel, while
Australian-based players travelled overnight more frequently than
both European- (p=0.002) and Asian- (p=0.046) based players
during return travel. Signicant differences existed in arrival time for
both outbound (H=6.597, p=0.037) and return travel (H=6.567,
p=0.038); however, with Bonferroni correction, no pairwise com-
parisons for outbound travel reached signicance (p>0.05). For
FIG. 1. Distribution of A) Total Travel Time B) Total Flight Time C) Time Difference D) Flights per Trip E) Arrival Time F) Departure
Time for national team footballers during a twoyear period (n=569) for Eastward (Dark), Westward (Light) time zone shifts, and
No time change (Grey). Percentages above bars represent the proportion of each bar relative to all trips.
710
Ewan Clements et al. Travel demands for national team footballers
TABLE 1. Travel demands of Australian professional footballers
based on club geographical location travelling to anational team
commitment over atwo-year period (n=244)
Measure Player
Location Mean (±SD) Median Min. Max.
Trips per
Player (N)
All Players 4.1 ± 2.4 3.5 1.0 10.0
Australia 3.2 ± 1.9 3.0 1.0 7.0
Europe 4.6 ± 2.6 4.5 1.0 10.0
Asia 3.2 ± 1.6 3.0 1.0 7.0
Flight
Duration
(Hours)
All Players 9.2 ± 6.4 6.7 0.8 23.0
Australia 12.1 ± 6.5*#12.8 0.9 20.8
Europe 8.9 ± 6.4 6.4 0.8 23.0
Asia 7.9 ± 5.4 7.5 1.2 17.8
Travel
Duration
(Hours)
All Players 11.1 ± 8.1 7.7 0.8 31.0
Australia 14.3 ± 8.0 14.1 0.9 27.6
Europe 10.7 ± 8.2 6.9 0.8 31.0
Asia 9.5 ± 6.4 10.0 1.2 21.5
Time
Difference
(Hours)
All Players 3.8 ± 3.3 2.0 0.0 10.0
Australia 4.3 ± 3.5# 5.0 0.0 10.0
Europe 3.9 ± 3.3#2.0 0.0 10.0
Asia 2.6 ± 3.0 1.0 0.0 9.0
Eastward
Trips per
Player (N)
All Players 2.8 ± 2.5 2.0 0.0 8.0
Australia 0.2 ± 0.4* 0.0 0.0 1.0
Europe 4.1 ± 2.3#4.0 0.0 8.0
Asia 1.3 ± 0.9 1.0 0.0 3.0
Westward
Trips per
Player (N)
All Players 1.0 ± 1.5 0.0 0.0 7.0
Australia 2.8 ± 1.7* 3.0 1.0 7.0
Europe 0.3 ± 0.7 0.0 0.0 2.0
Asia 1.2 ± 1.3 1.0 0.0 3.0
Overnight
Trips per
Player (N)
All Players 2.3 ± 1.8 2.0 0.0 7.0
Australia 1.5 ± 1.4 1.0 0.0 5.0
Europe 2.7 ± 2.0 2.5 0.0 7.0
Asia 1.3 ± 1.2 1.0 0.0 3.0
Arrival Time
(HH:mm)
All Players 13:54 ± 07:18 14:59 00:00 23:54
Australia 12:42 ± 05:42 11:48 00:18 22:18
Europe 14:24 ± 07:48 16:54 00:00 23:54
Asia 11:48 ± 05:36 11:12 00:54 21:18
Departure
Time
(HH:mm)
All Players 14:36 ± 05:36 14:42 00:12 24:00
Australia 13:06 ± 07:42 10:42 00:12 23:42
Europe 15:00 ± 04:42 15:00 02:06 23:00
Asia 13:48 ± 06:42 11:54 00:36 24:00
* Signicantly different to Europe (p<0.05); # Signicantly different
to Asia (p<0.05)
TABLE 2. Travel demands of Australian professional footballers
based on club geographical location returning to club teams
following anational team commitment over a two-year period
(n=244)
Measure Player
Location Mean (±SD) Median Min. Max.
Trips per
Player (N)
All Players 4.1 ± 2.4 4.0 1.0 10.0
Australia 3.3 ± 1.9 4.0 1.0 8.0
Europe 4.7 ± 2.7 4.0 1.0 10.0
Asia 3.1 ± 1.4 3.0 1.0 6.0
Flight
Duration
(Hours)
All Players 9.6 ± 5.8 8.5 0.6 21.8
Australia 12.2 ± 5.3*#12.9 1.2 19.3
Europe 9.3 ± 5.8 7.7 0.6 21.8
Asia 7.2 ± 5.3 4.6 0.9 18.3
Travel
Duration
(Hours)
All Players 12.2 ± 7.3 11.1 0.6 30.7
Australia 15.9 ± 7.0*#16.4 1.2 29.2
Europe 11.7 ± 7.1 10.3 0.6 30.7
Asia 9.3 ± 7.0 8.0 0.9 23.9
Time
Difference
(Hours)
All Players 3.7 ± 3.3 2.0 0.0 11.0
Australia 4.8 ± 3.5#6.5 0.0 10.0
Europe 3.6 ± 3.3 2.0 0.0 11.0
Asia 2.8 ± 3.2 1.0 0.0 9.0
Eastward
Trips per
Player (N)
All Players 1.2 ± 1.4 1.0 0.0 6.0
Australia 2.8 ± 1.6* 3.0 1.0 6.0
Europe 0.6 ± 0.9 0.0 0.0 3.0
Asia 1.3 ± 0.9 1.0 0.0 3.0
Westward
Trips per
Player (N)
All Players 2.5 ± 2.4 1.5 0.0 8.0
Australia 0.2 ± 0.4* 0.0 0.0 1.0
Europe 3.8 ± 2.2#4.0 0.0 8.0
Asia 0.9 ± 0.6 1.0 0.0 2.0
Overnight
Trips per
Player (N)
All Players 1.3 ± 1.4 1.0 0.0 5.0
Australia 2.8 ± 1.8*#3.0 0.0 5.0
Europe 0.9 ± 1.0 1.0 0.0 3.0
Asia 1.0 ± 1.2 1.0 0.0 3.0
Arrival Time
(HH:mm)
All Players 15:00 ± 05.48 17:00 0.1 23.9
Australia 13:06 ± 06.24* 18:00 04:54 22:36
Europe 15:36 ± 05.30 11:00 01:00 23:54
Asia 14:48 ± 05:54 17:12 00:06 23:24
Departure
Time
(HH:mm)
All Players 11:48 ± 06:00 10:54 00:30 23:42
Australia 13:12 ± 06:00 10:06 01:36 23:18
Europe 11:06 ± 06:00#14:36 00:30 23:12
Asia 13:48 ± 05:00 13:48 03:24 23:42
* Signicantly different to Europe (p<0.05). # Signicantly
different to Asia (p<0.05)
Biology of Sport, Vol. 40 No3, 2023 711
Ewan Clements et al. Travel demands for national team footballers
Australian- (p<0.001) and Asian-based (p=0.074) players. For
return trips, European-based players completed signicantly more
westward trips than both Australian (p<0.001) and Asian-based
(p=0.009) players, and signicantly fewer eastward trips than Aus-
tralian-based players (p<0.001).
DISCUSSION
This study describes the type and extent of travel demands for Aus-
tralian national team duties and compares travel demands based on
aplayer’s club location. Alarge number of trips by national team
players are unlikely to affect performance and wellbeing
(66%≤3htime difference, 64% not overnight, 49%<10htrav-
el time). Despite this, anumber of ights exceed 3hof time difference
(34%), occur overnight (36%) or are prolonged in duration
(51%,>10h) and therefore potentially pose concerns for perfor-
mance or recovery. Being aware of the frequency of extensive travel
demands may in turn allow national team staff to better prepare for
the arrival of players and guide preventative measures before and
after travel. Furthermore, Australian-based players generally had
greater travel demands than Asian or European-based players. There-
fore, travel strategies should consider location-specic demands of
players; with those travelling into the national team from Europe or
returning to Australian-based clubs needing greater attention for cir-
cadian adaption and promotion of sleep assistance strategies.
This study shows anumber of trips resulting in time zone differ-
ences of>3h(34%), which have been previously observed to in-
duce jet lag symptoms in athletes[13,16–18], though symptoms
are expected to be more detrimental with greater time zone differ-
ences[19–21]. Although no performance measures were recorded
in this study, 17% of trips, exceeded 8hof time zone difference,
with such time zone changes previously being shown to cause re-
ductions in intermittent and maximal sprint as well as jump perfor-
mance[3,4]. This study highlights that many national team trips
for this federation have the potential to induce detrimental jet lag
symptoms and thus practitioners should consider interventions that
can hasten the rate at which an athlete adapts to time zone chang-
es. Further, 36% of trips required overnight air travel, with this po-
tentially putting athletes at risk of impaired sleep[6,10,11]. Im-
pairments in sleep may then have further implications for wellbeing
and performance[5,6,10,22], highlighting the need for appropri-
ate strategies to monitor and promote sleep during travel[10,11,13].
Related to the overnight nature of travel, 33% of ights arrived in
the rst half of the day (24:00–12:00), and thus are likely to involve
longer durations between full sleep periods which may have addi-
tional consequences for sleep and adaptation[23]. For such trips,
daytime naps may be useful where athletes were unable to obtain
sufcient sleep during travel[24]. Currently, no studies have report-
ed jet lag, travel fatigue or other perceptual responses of national
team footballers across varying travel demands. Although no specif-
ic jet lag or travel fatigue measures were available, based on the ob-
servations of previous research and the extent of travel observed in
this study, it is likely that aconsiderable volume of national team
travel may induce circadian misalignment, jet lag or sleep disrup-
tion. Hence, given the short-turnaround between club and national
team xtures, strategies to alleviate these consequences are recom-
mended i.e. sleep hygiene, naps and awareness of travel schedules.
Such strategies may be important in maximising the availability of
players to train and prepare for both national team and club
competition[24].
Understanding locational differences in travel demands of play-
ers travelling into national team commitments will enable staff to
better cater to player-specic needs. Despite similarities in time zone
difference for European- and Australian-based players, travelling from
Europe required more eastward trips. Although not measured here,
eastward trips are reported to induce more prolonged symptoms of
jet lag[4,20,25] and may warrant earlier arrivals for European
players or greater focus on interventions to hasten circadian adap-
tation. Asian-based players experienced signicantly smaller time
zone changes and thus the risk of jet lag when travelling into camp
is less than that for European- or Australian-based players. Interest-
ingly, players who were based at clubs in Australia had the greatest
travel durations. Such anding likely reects the unique situation of
the Australian national team in which the country is geographically
based in Oceania but competes under the Asian Confederation and
thus often compete in Asia. While time zone changes may still be
aconcern for Australian-based players, the greater concern may re-
sult from travel fatigue due to longer travel durations and potential
implications of long-duration ights[9,19,21]. However, as long-
haul daytime travel≤10hhas not been observed to affect perfor-
mance and wellbeing[12], similar travel fatigue symptoms theoret-
ically may persist in all groups given overnight travel requirements
were similar[5,6,10]. The similarities in overnight travel amongst
all players suggests interventions to reduce travel induced sleep loss
should be of focus for national team practitioners for player arrival
into camp. Accordingly, aneed for attention on circadian re-entrain-
ment exists for European-based players, while sleep-promoting in-
terventions during and after travel are required for all players arriv-
ing for national team duties.
Given the prevalence of xture congestion in elite football[1], re-
turning players to clubs from national teams requires effective com-
munication between national and club team staff to enhance player
recovery and selection availability. During return travel, Australian-
based players had the worst travel schedules, with more eastward
trips, longer travel durations and more trips requiring overnight trav-
el. These travel schedules may place the athletes at greater likelihood
of jet lag due to the longer lasting effects following eastward trav-
el[4,26], while longer travel durations and overnight ights have
previously been observed to reduce sleep and increase fatigue[5,11].
Therefore, additional focus on hastening time zone adaptations in
players returning to Australian clubs is suggested, while attempts to
reduce sleep decits from overnight travel are also recommended.
Earlier arrivals have previously been observed to contribute to
712
Ewan Clements et al. Travel demands for national team footballers
greater symptoms of jet lag due to longer durations between full sleep
periods[23]; and should also be considered in Australian-based play-
ers who on average arrived signicantly earlier than European-based
players. While greater attention is required for Australian-based play-
ers, the average time zone differences of 3.5 ± 3.2hmay still be
enough to induce jet lag in European-based players[8,9,19]. Giv-
en these players largely travelled westward on return to clubs, it is
speculative whether these symptoms may potentially alleviate quick-
er than eastward travelling players[4,20,26].
Despite the novelty of these results, several limitations should be
considered when interpreting these ndings. Importantly, as this
study did not obtain any measures of wellness, performance or sleep
from players, any suggested effects of travel are based on previous
research. Additionally, the travel demands represent acase study of
one national team undertaking tournaments at that point of the time.
Furthermore, while abroad date range was used there is likely abias
in the ndings based on the location of tournaments. Different trav-
el demands are therefore likely to be observed between other nation-
al teams and time frames. Lastly, while amajority of international
travel is performed via aircraft, this study does not consider addition-
al modes of transport i.e. road or railway travel and its potential ef-
fects on players, nor does it account for travel to and from the
airport[8].
CONCLUSIONS
Overall, this study provides adetailed case-study of the type and extent
of travel involved in anational football team, while demonstrating that
these demands are likely to differ based on aplayer’s club location.
Travel for national team duties are diverse, and there remains many
schedules that require planning to maximise performance and wellbe-
ing. Asingle squad-wise approach to travel scheduling may not be
appropriate as the nature of travel differs signicantly between player’s
club locations. For the Australian national team, travel into camp is
likely most demanding for European-based players, while Australian-
based players may be more at risk of negative travel consequences
following return travel. As such, it is important to consider the spe-
cic demands of players on an individual or at least regional basis.
Acknowledgements
The authors would like to thank the players, coaches and staff of the
Sports Science Sports Medicine Department of Football Australia for
their support and feedback in the development of this project. No
nancial assistance was provided for this project.
Disclosure of Interest
All authors of this study were current employees of Football Austra-
lia; however, no additional funding was provided for the purpose of
this study.
Funding Details
This research did not receive any specic grant from funding agencies
in the public, commercial, or not-for-prot sectors.
1. CarlingC, McCallA, Le GallF, DupontG.
What is the extent of exposure to periods
of match congestion in professional
soccer players? J Sports Sci. 2015;
33(20):2116–24.
2. McCallA, DavisonM, AndersenTE,
BeasleyI, BizziniM, DupontG, etal.
Injury prevention strategies at the FIFA
2014World Cup: perceptions and
practices of the physicians from the
32participating national teams. Br
JSports Med. 2015;49(9):603–8. doi:
10.1136/bjsports-2015–094747.
3. ChapmanD, BullockN, RossA,
RosemondD, MartinD. Detrimental
effects of West to East transmeridian
ight on jump performance. Eur JAppl
Physiol. 2012; 112(5):1663–9. PubMed
PMID: 74188120.
4. FowlerP, KnezW, CrowcroftS,
MendhamAE, MillerJ, SargentC, etal.
Greater Effect of East versus West Travel
on Jet Lag, Sleep, and Team Sport
Performance. Med Sci Sports Exerc.
2017; 49(12):2548–61. PubMed PMID:
126249201.
5. FowlerP, DufeldR, MorrowI, RoachG,
VaileJ. Effects of sleep hygiene and
articial bright light interventions on
recovery from simulated international air
travel. Eur JAppl Physiol. 2015;
115(3):541–53.
6. FowlerP, DufeldR, VaileJ. Effects of
simulated domestic and international air
travel on sleep, performance, and
recovery for team sports. Scandinavian J
Med Sci Sports. 2014;25(3):441–51.
7. FowlerP, McCallA, JonesM, DufeldR.
Effects of long-haul transmeridian travel
on player preparedness: Case study of
anational team at the 2014FIFA World
Cup. JSci Med Sport. 2017;
20(4):322–7. doi: 10.1016/j.
jsams.2016.08.021.
8. ReillyT, WaterhouseJ, EdwardsB. Some
chronobiological and physiological
problems associated with long-distance
journeys. Travel Med Infect Dis. 2009;
7(2):88–101. doi: 10.1016/j.
tmaid.2008.05.002.
9. WaterhouseJ, ReillyT, AtkinsonG,
EdwardsB. Jet lag: trends and coping
strategies. The Lancet. 2007;
369(9567):1117–29.
10. StevensCJ, ThorntonHR, FowlerPM,
EshC, TaylorL. Long-Haul Northeast
Travel Disrupts Sleep and Induces
Perceived Fatigue in Endurance
Athletes. Front Physiol. 2018; 9. doi:
10.3389/fphys.2018.01826.
11. LastellaM, RoachGD, SargentC. Travel
fatigue and sleep/wake behaviors of
professional soccer players during
international competition. Sleep Health.
2019; 5(2):141–7. doi: 10.1016/j.
sleh.2018.10.013.
12. FowlerP, DufeldR, HowleK,
WatersonA, VaileJ. Effects of
Northbound Long-Haul International Air
Travel on Sleep Quantity and Subjective
Jet Lag and Wellness in Professional
Australian Soccer Players. Int JSports
Physiol Perform. 2015; 10(5):648–54.
PubMed PMID: 103585268.
13. FullagarHHK, DufeldR, SkorskiS,
WhiteD, BloomeldJ, KollingS, etal.
Sleep, Travel, and Recovery Responses of
National Footballers During and After
REFERENCES
Biology of Sport, Vol. 40 No3, 2023 713
Ewan Clements et al. Travel demands for national team footballers
Long-Haul International Air Travel. Int
JSports Physiol Perform. 2016;
11(1):86–95. PubMed PMID:
112512276.
14. RCore Team. R: Alanguage and
environment for statistical computing.
4.1.1ed. Vienna, Austria: RFoundation
for Statistical Computing; 2021.
15. DinnoA. dunn.test: Dunn’s Test of
Multiple Comparisons Using Rank Sums.
2017.
16. KöllingS, TreffG, WinkertK, FerrautiA,
MeyerT, PfeifferM, etal. The effect of
westward travel across ve time zones on
sleep and subjective jet-lag ratings in
athletes before and during the 2015’s
World Rowing Junior Championships.
JSports Sci. 2017; 35(22):2240–8. doi:
10.1080/02640414.2016.1265141.
17. BullockN, MartinDT, RossA,
RosemondD, MarinoFE. Effect of long
haul travel on maximal sprint
performance and diurnal variations in
elite skeleton athletes. Br JSports Med.
2007; 41(9):569–73. doi: 10.1136/
bjsm.2006.033233.
18. LemmerB, KernRI, NoldG, LohrerH.
Jet lag in athletes after eastward and
westward time-zone transition.
Chronobiol Int. 2002; 19(4):743–64.
doi: 10.1081/CBI-120005391.
19. LeatherwoodWE, DragooJL. Effect of
airline travel on performance: areview of
the literature. Br JSports Med. 2013;
47(9):561–7.
20. Forbes-RobertsonS, DudleyE,
VadgamaP, CookC, DrawerS, KilduffL.
Circadian Disruption and Remedial
Interventions: Effects and Interventions
for Jet Lag for Athletic Peak Performance.
Sports Med. 2012; 42(3):185–208.
21. WaterhouseJ, ReillyT, EdwardsB. The
stress of travel. JSports Sci. 2004;
22(10):946–66. doi:
10.1080/02640410400000264.
22. FullagarH, SkorskiS, DufeldR,
HammesD, CouttsAJ, MeyerT. Sleep
and Athletic Performance: The Effects of
Sleep Loss on Exercise Performance, and
Physiological and Cognitive Responses to
Exercise. Sports Med. 2015;
45(2):161–86. doi: DOI 10.1007/
s40279–014–0260–0.
23. WaterhouseJ, EdwardsB, NevillA,
CarvalhoS, AtkinsonG, BuckleyP, etal.
Identifying some determinants of “jet lag”
and its symptoms: Astudy of athletes
and other travellers. Br JSports Med.
2002; 36(1):54–60. doi: 10.1136/
bjsm.36.1.54.
24. WaterhouseJ, AtkinsonG, EdwardsB,
ReillyT. The role of ashort post-lunch
nap in improving cognitive, motor, and
sprint performance in participants with
partial sleep deprivation. JSports Sci.
2007; 25(14):1557–66. doi:
10.1080/02640410701244983.
25. ReillyT, AtkinsonG, EdwardsB,
WaterhouseJ, ÅkerstedtT, DavenneD,
etal. Coping with jet-lag: APosition
Statement for the European College of
Sport Science. Eur J Sport Sci. 2007;
7(1):1–7. doi:
10.1080/17461390701216823.
26. EastmanCI, BurgessHJ. How to Travel
the World Without Jet Lag. Sleep Med
Clin. 2009; 4(2):241–55. doi:
10.1016/j.jsmc.2009.02.006.