Front. Sports Act. LivingFrontiers in Sports and Active LivingFront. Sports Act. Living2624-9367Frontiers Media S.A.10.3389/fspor.2024.1353129Sports and Active LivingOriginal ResearchPhysiological, anthropometric and athletic performance adaptations from completing a 1-month pre-season period. A two-year longitudinal study in female collegiate soccer playersPerrottaAndrew S.123*†DayBrent D.2CorreaCamila J.34ScottAnika J.3RamosJennifer4GnatiukElizabeth A.5WarburtonDarren E. R.45†Department of Kinesiology, Faculty of Human Kinetics, University of Windsor, Windsor, ON, CanadaDepartment of Kinesiology, Centre for Human Performance and Health, Windsor, ON, CanadaDepartment of Kinesiology, Langara College, Vancouver, BC, CanadaSchool of Kinesiology, Faculty of Education, University of British Columbia, Vancouver, BC, CanadaExperimental Medicine Program, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
Edited by: Emiliano Cè, University of Milan, Italy
Reviewed by: Luís Branquinho, Polytechnic Institute of Portalegre, Portugal
Athos Trecroci, University of Milan, Italy
Correspondence: Andrew S. Perrotta perrotta@uwindsor.ca
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Introduction
Collegiate coaches and integrative support staff often utilize pre-season as a brief and intense training period to prepare athletes technically, tactically, and physiologically, to meet the demands of competition during a soccer season. This study sought to examine the dose-response from performing on-field soccer activities during a four-week pre-season period in female collegiate soccer players, and if the magnitude in response was associated with accumulated exercise stress.
Methods
A total of twenty-seven healthy female soccer players training as part of a collegiate soccer program volunteered to participate in this two-year longitudinal study. Data collection commenced prior to the start of each pre-season period, at the beginning of August, and was completed at the beginning of September, when pre-season ended. Data collection periods were separated by a 31-day period. Indices of cardiovascular function, anthropometry, and athletic performance were examined during each data collection period. Internal and external measures of accumulated exercise stress were recorded using the Polar Team Pro® system.
Results
When comparing the beginning to the end of pre-season, significant improvements were observed in body fat (%) [24.2 ± 6.0 “vs.” 23.3 ± 5.6, p = 0.001], heart rate variability (rMSSD) [51.8 ± 25.1 “vs.” 67.9 ± 34.6 ms, p = 0.002], resting heart (bpm) [73.8 ± 12.1 “vs.” 64.3 ± 8.8, p = 0.001] and cardiorespiratory performance (YoYo IRTL-1) [925.8 ± 272.8 “vs.” 1,062.6 ± 223.3 m, p = 0.001]. Significant reductions in musculoskeletal performance were observed through vertical jump height (cm) [24.9 ± 23.7, p = 0.04]. Change in the end of pre-season body weight (kg) was significantly associated with accumulated accelerations and decelerations [r ≥ 0.49, p = 0.01]. End of pre-season change in cardiorespiratory performance was significantly associated with both accumulated training load (au) and TRIMP (au) [r ≥ 0.63, p = 0.01].
Discussion
In conclusion, performing a four-week pre-season period, involving only on-field training, can promote positive and significant adaptations in anthropometry, cardiovascular function, and athletic performance measures in female collegiate soccer players. The magnitudes of these adaptations were associated with both internal and external measures of accumulated exercise stress.
sport scienceexercise testingathlete developmentathlete monitoringfemale athletessection-at-acceptanceExercise PhysiologyIntroduction
The use of global positioning systems (GPS) that can quantify external work completed have revealed collegiate female soccer players cover significant amounts of distance over the course of a game, in addition to performing actions that require superior musculoskeletal performance (1). These demands are largely supported through elevated and sustained cardiorespiratory and musculoskeletal function that lead to substantial caloric expenditure (2). As such, practitioners within collegiate soccer routinely implement physical performance testing within the yearly training plan to examine adaptations in anthropometry, cardiorespiratory and musculoskeletal performance in response to exercise and competition (3). Integrative support staff have an assortment of efficient and non-invasive assessments at their disposal to examine measures of biological function that have shown to respond to exercise and support athletic performance. Resting cardiovascular measures such as heart rate variability (HRV) and resting heart rate (HR) have demonstrated significant associations with superior cardiorespiratory performance in female collegiate soccer players (4, 5). Furthermore, these measures have revealed their utility for examining the dose-response to exercise in collegiate soccer players (6), as well as their effectiveness in supporting integrative support staff in monitoring athletic development and fatigue over a season (7).
Adaptations in anthropometry in response to exercise and competition have been well examined in female collegiate soccer players (8). Practitioners habitually examine body composition over a season to better understand its adaptations to various stressors, as well as to predict an athlete's ability to execute tactical and technical actions on-field (9). The effect of body composition on athletic performance measures in female soccer players has recently been demonstrated by Stankoiv et al., where increases in fat free mass exhibited significant, and positive associations to musculoskeletal function when measured using vertical jump performance, agility, as well as running speed. Additionally, decreases in body fat (%) were observed to be significantly associated to enhanced cardiorespiratory performance (10). As such, strength and conditioning coaches place large significance towards prescribing exercise programs that are either designed to maintain or improve muscle mass depending on the training cycle within the yearly program. However, there remains a paucity of inquiry towards understanding the dose-response from exercise and competition in female soccer players when solely playing the sport and its impact on anthropometry. To date, the majority of research has focused on examining variations in body composition over singular or multiple seasons, all of which involve concurrent training methods, using both resistance training, endurance training and on-field soccer activities (11, 12). The utility in quantifying exercise stress elicited through soccer specific training alone and understanding its association with physiological and anthropometric adaptations would support coaches and integrative support staff in designing both on-field and off-field training programs.
A collegiate soccer season typically spans from late August until November. This brief schedule involves condensed match play where teams compete twice a week over a 72 h period and involves intensified on-field preparation throughout the week. The pre-season period for a female collegiate soccer program is often limited to 2–7 weeks depending on the collegiate sport regulating body. This period is viewed as a last chance opportunity for coaches to improve their team's technical, tactical, and physical capabilities before entering the competitive period, involving intensified training and significant alterations in physiological functioning (13). The primal focus on accumulating large training loads during this condensed and intensified training period can lead to increased injuries rates (14) and has displayed trivial evidence to support on-field success over a competitive season (15).
These concentrated training periods should be viewed with caution as either an opportunity to establish a foundation in physical fitness, or an opportunity to improve both physiological and athletic performance. As such, this investigation sought to examine the dose-response from performing soccer specific activities designed towards improving the technical and tactical performance of players as well as their physiological functioning during a four-week pre-season period in female collegiate soccer players. In conducting this study, we hypothesized the following: (1) significant alterations in anthropometry, cardiovascular function, and athletic performance measures would be observed after completing pre-season, and (2) accumulated exercise stress would be significantly correlated to improvements in anthropometry, cardiovascular function, and athletic performance measures.
MethodsStudy design
This investigation was a two-year longitudinal study, examining the association between exercise stress and adaptations in physiological function and sport performance from completing a pre-season period in female collegiate soccer players. Data collection occurred at the start of August and finished at the beginning of September for each pre-season and was separated by a 31-day period. A total of three competitive matches were included during each pre-season and were performed on alternate weekends. On-field training sessions were 90-min in length and occurred Monday through Thursday. Training sessions were structured to begin with a warm-up and were followed by technical, tactical, and physiologically oriented soccer drills, concluding with a cool-down. Both inter-reliability and intra-reliability were controlled by using standardized examiners over the two-year period.
Participants followed their own nutrition, hydration, and sleep patterns throughout the investigation. Data collection was standardized for a given time of day, with participants arriving at a controlled laboratory setting between 09:00 and 11:00. All anthropometric, physiological, and athletic performance measures were examined together during each laboratory visit. Hydration and nutrition were standardized 24-hr prior to collection period, with all physical activity ceasing 48-hr prior to testing. Each data collection followed the order of; (1) resting cardiovascular function, (2) anthropometric analysis, (3) musculoskeletal function, (4) linear running speed, and (5) cardiorespiratory performance. All testing occurred in a controlled environment with ambient temperatures of 20.1°C (± 1.2°C) and a relative humidity of 30.4% (± 8.5%).
Participants
A total of twenty-seven (n = 27) healthy female soccer players training as part of a collegiate soccer program volunteered for this study. Over the two-year study period, the mean (± SD) participant age was 20.6 ± 1.2 year. Participant characteristics over the study period are displayed in Table 1. Each participant provided written informed consent to participate in the study and completed a health screening questionnaire prior to each pre-season period (16). Participants who were under the legal age (<19.0 year) at the time of the study had a parent or guardian provide their signature on the consent form. The current investigation was approved by and followed the recommendations of the Langara College Research Ethics Board and were in accordance with the ethical standards of use of human participants in research as outlined in the 1964 Declaration of Helsinki and its later amendments.
Change in anthropometry over a preseason period.
Beginning of preseason
End of preseason
% diff
p value
Effect size (95% CI)
Height (cm)
166.0 ± 7.0
166.0 ± 7.0
0.00%
1.000
0.00
Weight (kg)
57.3 ± 6.6
57.4 ± 6.6
0.01%
0.630
0.01 (± 0.04)
BF %
24.2 ± 6.0
23.3 ± 5.6
−3.70%
0.001
0.16 (± 0.09)
BMI (kg/m2)
20.7 ± 1.5
20.8 ± 1.5
0.17%
0.600
0.02 (± 0.08)
Values displayed as a mean (± SD). Values are as follows; BF, body fat %; BMI, body mass index.
Physiological assessments
Upon arrival for each data collection, a 10-min stabilization period was implemented whereby participants laid supine in a quiet room with their eyes closed before each cardiovascular assessment. Blood pressure (mmHg) and heart rate (bpm) were recorded using an automated blood pressure device (Welch Allyn Inc., New York, USA) utilizing an inflatable arm cuff positioned 3 cm above the antecubital space over the left brachial artery. Using indices of blood pressure and heart rate, stroke volume (mL·beat−1) was estimated using the Liljestrand and Zander (17) mathematical model and adapted to derive cardiac output (L·min−1) (18). Systematic vascular resistance (dynes⋅sec⋅cm−5) was calculated according to Ohm's law, whereby cardiac output and the resulting mean arterial pressure can derive resistance (19). Participants were assigned a POLAR Team Pro® chest strap heart rate monitor (Polar, Electro, Oy, Kempele, Finland) equipped to sample at 1,000 Hz. An ultra-short recording period of 60-sec was used to collect R-R intervals (ms) under spontaneous breathing while in the supine position. Data was then exported into Kubios HRV 3.0 (Biosignal Analysis and Medical Imagining Group at the Department of Applied Physics, University of Kuopio, Kuopio, Finland) for HRV analysis. The square root of the mean squared differences of successive R–R intervals (rMSSD), was selected for examining cardiac parasympathetic modulation based on its validity to represent cardiac vagal activity (20), its resilience against respiratory sinus arrhythmia during spontaneous breathing (21), and when not accounting for both menstrual cycle phase (22) and oral contraceptive use (23). A cubic spline interpolation method utilizing a third-degree polynomial that was pre-programmed into Kubios HRV 3.0, was used to interpret artifacts and ectopic beats that varied greater than 0.25 s when compared to the mean (24).
Anthropometric assessments
Body weight and body composition were recorded without shoes or socks using a weight scale and bioelectrical impedance (Tanita BF-680® scale). Height (cm) was recorded using a portable stadiometer (Seca 217®) and was used in combination with body mass to calculate body mass index (kg/m2). Participant clothing was standardized for each assessment.
Athletic performance measures
Musculoskeletal performance was examined using vertical ground reaction forces. Vertical jump height (cm) was estimated using a dual force plate system utilizing a 1 kHz operating frequency, a temporal resolution of (±0.25 N) and a mechanical range of (0–14 kN) (Hawkin Dynamics Inc. DE, USA). Participants placed their hands on their hips before descending to a knee angle of approximately 90° and held this position for three seconds before performing a vertical jump. Three attempts were completed with a 10-sec recovery period between jumps to promote recovery and to avoid muscular fatigue. The average of the three jumps was used for analysis (25). Running speed was measured at both 5 m and 10 m distances using photocell gates (Brower TC Timing Systems, UT, USA) and recorded as time (sec). Participants held a stationary position for three seconds before sprinting through each photocell. The best of three attempts, using a three-minute rest period between sprints, was used for analysis. Maximal cardiorespiratory performance was assessed using the YoYo Intermittent Recovery Test Level-1 (YoYo IRTL-1) (26). The last completed shuttle, and its corresponding distance (m) was recorded for analysis.
Exercise stress
At the beginning of each training session and competitive match, participants were provided a Polar Team Pro® monitor equipped with a GPS unit (10 Hz) and heart rate monitor (1-sec intervals) for recording indices of exercise stress (27). Upon completion of the cool down from each activity, data was exported into the Polar Team Pro® cloud-based software. Accumulated exercise stress throughout each pre-season period was quantified using both internal and external measures of exercise stress. Internal measures were derived from exercise heart rate dynamics and were quantified as a training impulse (TRIMP) (28) and as a Polar training load (29). Total energy expenditure (kcal) was estimated from the Polar Pro software and was calculated using exercise heart rate dynamics and each participant's unique anthropometry, age, sex, height, weight, resting and maximum heart rate, as well as estimated VO2max as established from the YoYo IRTL-1. External measures recorded were the total distance covered (km) as well as the number (#) of sprints, accelerations and decelerations performed. Thresholds for detecting both sprints and accelerations were manually inputted into the Polar Team Pro system and were specified using the slowest 30 m sprint speed (15 km/h) and 5 m acceleration time (2.8 m.s2) recorded from the participants in the study.
Statistical analysis
Data was analyzed using Microsoft® EXLSTAT 5.1. All data in text, tables and figures are displayed as means (± SD). Normality of data sets were examined using a Shapiro-Wilk's test for normality (p > 0.05) prior to analysis. A paired samples t-test was used to examine changes in physiological function and sport performance from the beginning to the end of pre-season. In addition, standardized mean differences were calculated to display the effect size using Cohen's d, and were accompanied with a 95% CI. Effect size values were interpreted as follows; small (d = 0.20), medium (d = 0.50) and large (d = 0.80) (30).
A Pearson correlation coefficient (r) was used to examine associations between indices of accumulated exercise stress and the change observed in physiological, anthropometric, and performance measures from the beginning to the end of pre-season. The following principles were applied for identifying the strength of correlation; r = 0.10–0.29 small, r = 0.30–0.49 moderate, r > 0.50 large (30). Significance was declared using a probability of p < 0.05.
Results
Data is presented as means (± SD) unless otherwise stated. Accumulated internal exercise stress was recorded as the following: calories = 14,792.7 ± 3,725.8 (kcal), training load = 3,062.5 ± 884.3 (AU), TRIMP = 3,368.7 ± 892.9 (AU). Accumulated external exercise stress was recorded as the following: total distance covered = 106,751.3 ± 33,858.0 (km), sprints = 1,425.9 ± 469.8 (#), accelerations = 103.2 ± 49.2, and decelerations = 131.0 ± 69.0 (#). Changes in anthropometry are displayed in Table 1. Alterations in resting cardiovascular function are shown in Table 2. Changes in athletic performance measures are presented in Table 3. Individual correlation matrices displaying the association between accumulated exercise stress and: (1) change in cardiovascular function (Table 4), change in anthropometry (Table 5), change in athletic performance (Table 6) are provided.
Change in cardiovascular function over a preseason period.
Beginning of preseason
End of preseason
% diff
p value
Effect size (95% CI)
RHR (bpm)
73.8 ± 12.1
64.3 ± 8.8
−v12.9
0.001
−0.83 (± 0.46)
rMSSD (ms)
51.8 ± 25.1
67.9 ± 34.6
30.9
0.002
−0.52 (± 0.31)
R-R (ms)
832.7 ± 125.4
951.4 ± 137.8
14.2
0.001
−0.83 (± 0.46)
Q (L·min−1)
5.3 ± 1.2
4.3 ± 0.66
−18.8
0.001
−0.92 (± 0.51)
SV (mL·beat−1)
72.3 ± 10.2
67.4 ± 7.5
−6.3
0.045
−0.49 (± 0.48)
Systolic (mmHg)
110.2 ± 7.0
109.5 ± 6.2
−0.63
0.563
−0.10 (± 0.06)
Diastolic (mmHg)
66.3 ± 5.5
68.2 ± 5.5
2.8
0.116
0.33 (± 0.42)
PP (mmHg)
43.9 ± 6.5
41.1 ± 4.3
−5.8
0.050
−0.45 (± 0.45)
MAP (mmHg)
77.9 ± 16.4
78.9 ± 16.6
1.2
0.323
0.06 (± 0.12)
SVR (dynes·sec·cm−5)
1,273.5 ± 297.3
1,544.0 ± 235.9
21.2
0.001
0.91 (± 0.51)
Values displayed as a mean (± SD). Values are as follows; RHR, resting heart rate; rMSSD, root mean square of successive differences in R-R intervals; R-R, beat-to-beat intervals; Q, cardiac output; SV, stroke volume; PP, pulse pressure; MAP, mean arterial pressure; SVR, systemic vascular resistance.
Change in athletic performance measures over a preseason period.
Beginning of preseason
End of preseason
% diff
p value
Effect size (95% CI)
5 m running speed (s)
1.17 ± 0.09
1.20 ± 0.07
2.9
0.090
0.44 (± 0.51)
10 m running speed (s)
2.00 ± 0.08
2.02 ± 0.07
1.2
0.300
0.31 (± 0.60)
Vertical jump height (cm)
24.9 ± 3.6
23.70 ± 3.3
−4.9
0.040
−0.35 (± 0.33)
YoYo IRTL-1 (m)
925.8 ± 272.8
1,062.6 ± 223.3
8.3
0.001
0.56 (± 0.24)
Values displayed as a mean (± SD).
Correlation matrix. Associations between accumulated exercise stress and change in cardiovascular function.
Calories
Training load
TRIMP
Total distance
Sprints
Acc
Dec
RHR
rMSSD
R-R
Q
SV
Systolic
Diastolic
PP
MAP
SVR
Calories (kcal)
–
Training load (AU)
0.90**
–
TRIMP (AU)
0.92**
0.96**
–
Total distance (km)
0.64**
0.77**
0.78**
–
Sprints (#)
0.50**
0.66**
0.64**
0.71**
–
Acc (#)
−0.20
−0.16
−0.18
−0.04
0.29**
–
Dec (#)
−0.03
0.05
0.03
0.21
0.50
0.87**
–
RHR (bpm)
−0.09
−0.16
−0.12
0.00
0.02
0.17
0.18
–
rMSSD (ms)
0.19
0.01
0.15
0.03
−0.13
−0.37
−0.29
−0.21
–
R-R (ms)
0.08
0.12
0.06
−0.09
−0.09
−0.13
−0.13
−0.90**
0.14
–
Q (L·min−1)
−0.13
−0.19
−0.16
−0.06
−0.11
−0.04
−0.06
0.80**
−0.17
−0.69**
–
SV (mL·beat−1)
−0.14
−0.19
−0.15
−0.12
−0.19
−0.20
−0.25
0.37
0.00
−0.28
0.84**
–
Systolic (mmHg)
0.53**
0.56**
0.59**
0.47*
0.39*
−0.18
−0.20
0.12
−0.03
−0.17
0.21
0.20
–
Diastolic (mmHg)
0.45*
0.50**
0.49**
0.40*
0.41*
0.08
0.11
−0.27
−0.02
0.15
−0.64**
−0.79**
0.45*
–
PP (mmHg)
0.10
0.08
0.12
0.09
0.00
−0.25
−0.30
0.37
−0.01
−0.31
0.80**
0.92**
0.56**
−0.49**
–
MAP (mmHg)
0.55**
0.60**
0.61**
0.49**
0.47*
−0.01
0.00
−0.16
−0.03
0.05
−0.40*
−0.51**
0.74**
0.93**
−0.14
–
SVR (dynes·sec·cm−5)
0.25
0.32
0.28
0.20
0.22
0.11
0.16
−0.68**
−0.03
0.63
−0.91**
−0.86**
−0.01
0.78**
−0.73**
0.59**
–
Values are provided as a Pearson correlation coefficient. Acc, acceleration; Dec, deceleration; TRIMP, training impulse; RHR, resting heart rate; rMSSD, root mean square of successive beat-to-beat intervals; R-R, beat to beat cardiac intervals; Q, cardiac output; SV, stroke volume; PP, pulse pressure; MAP, mean arterial pressure; SVR, systemic vascular resistance.
p < 0.05.
p < 0. 01.
Correlation matrix. Associations between accumulated exercise stress and change in anthropometry.
Calories
Training load
TRIMP
Total distance
Sprints
Acc
Dec
Body weight
BMI
Body fat
Calories (kcal)
–
Training load (AU)
0.90**
–
TRIMP (AU)
0.92**
0.96**
–
Total distance (km)
0.64**
0.77**
0.78**
–
Sprints (#)
0.50**
0.66**
0.64**
0.71**
–
Acc (#)
−0.20
−0.16
−0.18
−0.04
0.29
–
Dec (#)
−0.03
0.05
0.03
0.21
0.50**
0.87**
–
Body weight (kg)
−0.18
−0.13
−0.18
−0.02
0.20
0.49**
0.52**
–
BMI (kg/m2)
−0.18
−0.17
−0.20
−0.07
0.08
0.43*
0.47*
0.97**
–
Body Fat (%)
0.04
0.19
0.06
0.07
0.08
−0.10
0.04
0.37
0.44*
–
Values are provided as a Pearson correlation coefficient. TRIMP, training impulse; Acc, acceleration; Dec, deceleration; BMI, body mass index.
p < 0.05.
p < 0.01.
Correlation matrix. Associations between accumulated exercise stress and changes in athletic performance.
Calories
Training load
TRIMP
Total distance
Sprints
Acc
Dec
5 m running speed
10 m running speed
Vertical jump height
YoYo ITRL-1
Calories (kcal)
–
Training load (AU)
0.81**
–
TRIMP (AU)
0.85**
0.90**
–
Total distance (km)
0.37
0.61**
0.63**
–
Sprints (#)
0.01
0.32
0.25
0.49*
–
Acc (#)
−0.28
−0.28
−0.32
−0.07
0.39
–
Dec (#)
−0.23
−0.16
−0.19
0.12
0.53**
0.88**
–
5 m running speed (sec)
0.03
−0.12
−0.12
−0.17
−0.14
0.10
−0.06
–
10 m running speed (sec)
0.01
−0.16
−0.15
−0.22
−0.20
0.16
−0.04
0.99**
–
Vertical jump height (cm)
−0.41*
−0.22
−0.24
−0.10
0.17
0.04
0.16
−0.25
−0.28
–
YoYo IRTL−1 (m)
0.71**
0.76**
0.63**
0.43*
0.15
−0.48*
−0.26
−0.14
−0.20
−0.02
–
Values are provided as a Pearson correlation coefficient. TRIMP, training impulse; Acc, acceleration; Dec, deceleration; BMI, body mass index.
p < 0.05.
p < 0.01.
Discussion
This investigation sought to examine the dose-response in female collegiate soccer players when performing on-field soccer activities during a four-week pre-season period. The primary observations revealed from this study were significant improvements in cardiac parasympathetic activity with concomitant improvements in cardiorespiratory performance in addition to significant reductions in both body fat percentage and musculoskeletal performance. The magnitude of change in anthropometric, cardiovascular, and athletic performance measures were significantly associated with accumulated exercise stress over the pre-season period.
Strength and conditioning coaches place a strong focus towards developing a healthy body composition in soccer players. Increases in fat free mass can lead to superior musculoskeletal performance as a result of increased contractile units, while enhanced body composition can reduce cardiovascular strain whereby improving cardiorespiratory performance (10). Our hypothesis was confirmed with a meaningful decrease in body fat % of −3.7%, a change beyond that of the typical error of 2.5% (31). Although we failed to observe a significant association between change in body fat % and accumulated exercise stress, we did record a significant association between increases in body weight and both accelerations and decelerations, suggesting change in fat free mass was associate with GPS metrics. During soccer competition, accelerations and decelerations can inflict unique physiological and mechanical loading (32), whereby greater metabolic processes are required during acceleration (33), while a larger mechanical load is experienced during deceleration (34). Nevertheless, both actions elicit significant muscular damage that can provoke intracellular signaling processes required for muscle remodeling (35). The significant increase in fat free mass observed in the current study may have been the result of sufficient intramuscular signaling coupled with adequate nutritional practices to support muscle remodeling.
Female collegiate soccer players who possess superior cardiorespiratory and musculoskeletal performance typically display enhanced on-field technical and tactical activities during competition (1). Practitioners and coaches often work together to design on-field training sessions to achieve the desired technical, tactical, and physiological oriented demands of their sport (36). Ideally, performing the sport itself to improve cardiorespiratory and musculoskeletal performance would negate the need for additional conditioning sessions. The reduction in additive training sessions would support physiological recovery and enhance the potential for improved competitive performance (37). The current study demonstrated a significant improvement (8.3%) in cardiorespiratory performance beyond that of the typical error (38). This increase was significantly associated with both internal and external indices of exercise stress. However, greater associations with internal measures were identified. This observation can be expected, as exercise heart rate dynamics are a reflection of cardiovascular stress, and a direct indicator for potential improvement in cardiorespiratory performance (39). This evidence supports integrative support staff in monitoring heart rate derived training loads during on-field training as this stimulus was shown to independently, and sufficiently, improve fitness levels. Although improvements in cardiorespiratory performance were observed, we noted decrements in musculoskeletal function. Vertical jump performance was significantly reduced (−4.9%) beyond that of the typical error of 3.0% (40). Although not statistically significant (p = 0.09), 5 m running speed was also reduced. Inverse associations between musculoskeletal performance and exercise stress were evident, however only caloric expenditure demonstrated a significant association with vertical jump performance. The time course of neuromuscular function and its effect of jump performance has shown to be impaired for up to five days post competition (41). This may be the result of either prolonged (> 48 h) muscle damage or alterations in neuromuscular excitation from training and competition (42). In the current study, end of pre-season assessments were completed 48 h after the cessation of all exercise, suggesting prolonged fatigue may have overshadowed any neuromuscular adaptations developed from pre-season. We recommend future studies employ multiple testing periods after exiting a pre-season period to allow for fatigue to dissipate to identify true changes in musculoskeletal performance. Moreover, this evidence suggests coaches consider tapering during the end of pre-season, prior to entering a competitive season, to facilitate recovery and allow for training adaptations to supersede accumulative fatigue.
The importance of cardiovascular function in female collegiate soccer players has most recently been demonstrated by Perrotta et al., where superior cardiorespiratory and musculoskeletal performance were observed in athletes with greater cardiac function. Our hypothesis was confirmed as we observed significant improvements in cardiovascular function as displayed through a −12.9% decrease in resting heart rate and a 30.9% increase in heart rate variability (rMSSD). The mechanisms for improved resting cardiac vagal activity from endurance exercise are complex and not fully understood. Yamamato et al., demonstrated endurance training can lead to enhanced cardiac vagal modulation, whereby directly decreasing cardiac tone (43). The participants in the current study began each pre-season after performing minimal training and competition in the off-season. Plasma volume has shown to rapidly expand in response to performing exercise at an intensity or volume that is uncustomary (44, 45). Although blood volume was not examined in the current study, we hypothesize that participants likely developed hypervolemia in response to the significant increase in exercise stress accumulated during pre-season. Exercise induced hypervolemia has lead to improvements in cardiac vagal modulation, a result of increased afferent activity of the baroreflex loop in response to blood volume expansion (46). Furthermore, an expansion in plasma volume may have enhanced cardiac function, and may in part explain the significant increase in maximal cardiorespiratory performance (47).
The current study is not without its limitations. Anthropometry was examined using bioelectrical impedance which is limited to estimating changes in whole body composition. The use of dual x-ray absorptiometry (DEXA) where segmental volume can be analyzed, would provide greater insight into the locational changes in body composition and their associations to accumulated exercise stress. Additionally, indirect methods were used to examine cardiovascular function. Although significant decrements in stroke volume, cardiac output, and systemic vascular resistance were observed, these changes were likely the result of a decrease in both heart rate and pulse pressure, and their use in the mathematical equation for estimating cardiac function (17, 18) and vascular resistance (19).
Practical applications
In practical terms for soccer coaches, it's essential to recognize the documented benefits of incorporating resistance training and cardiorespiratory exercises to support the musculoskeletal and cardiorespiratory demands of competition in female collegiate soccer players (1, 2). However, striking the right balance between each form of exercise alongside soccer-specific training demands is a common challenge. During preseason training, coaches often face the decision to focus primarily on physical fitness enhancement or on refining players’ technical and tactical skills. Trying to excel in all areas simultaneously can lead to excessive psychophysiological stress on players (13), potentially causing non-functional overreaching. Therefore, a collaborative approach between coaches and practitioners is crucial in designing training sessions that address both technical/tactical aspects as well as elicit adequate exercise stress to either maintain or improve physiological functioning. Integrating small-sided games that encourage repeated and rapid changes of direction, featuring significant accelerations and decelerations, as well as larger heart rate-derived training loads is an effective strategy to enhance players’ technical and physiological capacities simultaneously (48). This approach, as supported by results of the current study, can positively impact body composition and cardiorespiratory performance. Consequently, it may eliminate the necessity for additional resistance training sessions, promoting athletes’ recovery and overall development before the regular season begins.
Conclusion
Performing a four-week pre-season period, involving only technical, tactical and physiological oriented soccer training, can promote positive and significant adaptations in anthropometry, cardiovascular function, and athletic performance measures in female collegiate soccer players. The magnitudes of these adaptations are associated with both internal and external measures of accumulated exercise stress.
Data availability statement
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.
Ethics statement
The studies involving humans were approved by Langara College Research Ethics Board. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.
The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.
Acknowledgments
The authors would like to acknowledge the coaches and participants for their support and commitment over the two-year study period.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher's note
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