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Sex differences in response to maximal exercise stress test in trained adolescents
- Åsa Fomin†1,
- Mattias Ahlstrand†1,
- Helena Gyllenhammar Schill1,
- Lars H Lund1,
- Marcus Ståhlberg1,
- Aristomenis Manouras†1 and
- Anders Gabrielsen†1Email author
© Fomin et al.; licensee BioMed Central Ltd. 2012
Received: 27 February 2012
Accepted: 2 August 2012
Published: 20 August 2012
Sex comparisons between girls and boys in response to exercise in trained adolescents are missing and we investigated similarities and differences as a basis for clinical interpretation and guidance.
A total of 24 adolescent females and 27 adolescent males aged 13–19 years underwent a maximal bicycle exercise stress test with measurement of cardiovascular variables, cardiac output, lung volumes, metabolic factors/lactate concentrations and breath-by-breath monitoring of ventilation, and determination of peak VO2.
Maximum heart rate was similar in females (191 ± 9 bpm) and males (194 ± 7 bpm), cardiac index at maximum exercise was lower in females (7.0 ± 1.0 l/min/m2) than in males (8.3 ± 1.4 l/min/m2, P < 0.05). Metabolic responses and RQ at maximum exercise were similar (females: 1.04 ± 0.06 vs. males: 1.05 ± 0.05). Peak VO2 was lower in females (2.37 ± 0.34 l/min) than in males (3.38 ± 0.49 l/min, P < 0.05). When peak VO2 was normalized to leg muscle mass sex differences disappeared (females: 161 ± 21 ml/min/kg vs. males: 170 ± 23 ml/min/kg). The increase in cardiac index during exercise is the key factor responsible for the greater peak VO2 in adolescent boys compared to girls.
Differences in peak VO2 in adolescent boys and girls disappear when peak VO2 is normalized to estimated leg muscle mass and therefore provide a tool to conduct individual and intersex comparisons of fitness when evaluating adolescent athletes in aerobic sports.
KeywordsAdolescent Sex Body composition Exercise stress test ECG Blood pressure Peak VO2 Ventilation Lactate
Physical activity and training is important for initiating and sustaining cardiovascular health. As such, encouragement from childhood and the possibility to participate in sports activity is a major health issue which must be sustained. Reaching adolescence, however, increasing expectations and competitive demands have gradually emerged as an important aspect of recreational sports in the young. During the past decades there has been a gradual increase in the number of teenagers participating in competitive sports and the number of female athletes has increased in aerobic team sports [1, 2] – in Sweden in particular in soccer, floor-ball and ice-hockey . Correct and adequate planning of physical and exercise training is instrumental in providing the young athlete with a sustained career, increase endurance and enhance musculo-skeletal stability and avoiding injuries, fatigue or physical scarring.
Adolescence is the age interval at which the young sport competitor starts building local and national team careers, prompting coaches and physical trainers to interpret test results and understand and take into account possible sex-specific characteristics. At the moment, however, detailed knowledge about sex-related differences in adolescent exercise physiology is limited. Maximal oxygen uptake has been extensively investigated in children [4–7] and adults , but clinical context sex comparisons in the adolescent age-group 13 to 19 years of age in trained subjects are missing.
This impedes our interpretation of the cardiovascular and respiratory responses to exercise in adolescent girls compared to boys and limits our guidance in exercise programs in adolescents in competitive sports. It is essential to acknowledge possible differences between male and female participants which, if present, must be taken into account when planning and performing physical exercise programs for the adolescent athlete. Differences between male and female participants may prompt the development of sex-specific programs, and be valuable when evaluating training levels and differentiating pathology from normality in youth sports.
Because clinical performance reference data are missing we performed a detailed comparative characterization of cardiovascular, respiratory and metabolic responses to maximum exercise in aerobically trained adolescent boys and girls, with the aim being to identify similarities and differences as a basis for clinical interpretation and guidance.
Subjects and physical characteristics
One female participant was diagnosed with a Wolf-Parkinson-White type pre-excitation but was included in the study as she was completely asymptomatic. She was referred for cardiac electrophysiological evaluation. Her other exams and test results, beside the ECG, were completely normal. All other subjects had a normal medical history, a normal physical exam, and normal pre-study echo-cardiographic exam.
All exercise trials were terminated due to general fatigue with maximum leg fatigue, whereas no trial was stopped prematurely because of dyspnea, chest pain or cardiac arrhythmias.
Baseline characteristics of the study subjects
Females (n = 24)
Males (n = 27)
16.5 ± 1.8
17.0 ± 1.3
168 ± 5
179 ± 6
P < 0.001
61.3 ± 9.2
69.7 ± 9.1
P = 0.002
21.6 ± 2.8
21.7 ± 2.7
P = 0.84
Training pr week (hours)
7.4 ± 1.6
8.8 ± 1.3
P = 0.002
Total body fat (kg/%)
15.1 ± 5.3/23.1 ± 6.5
8.9 ± 4.2/12.7 ± 5.1
P < 0.001
Total body fat free mass (kg)
46.6 ± 5.3
60.7 ± 7.7
P < 0.001
Total leg muscle mass (kg)
15.0 ± 1.9
20.0 ± 2.7
P < 0.001
132 ± 6
147 ± 8
P < 0.001
65 ± 10
78 ± 9
P < 0.001
Resting ECG parameters
PR interval (msec)
149 ± 21 (149 ± 21; N = 23)
144 ± 14
P = 0.39
QRS duration (msec)
95 ± 20 (92 ± 7.6; N = 23)
99 ± 9.9
P = 0.43
440 ± 36 (435 ± 25; N = 23)
417 ± 20
P = 0.007
P axis (°)
52 ± 26 (52 ± 26; N = 23)
50 ± 28
P = 0.79
QRS axis (°)
65 ± 38 (70 ± 29; N = 23)
80 ± 24
P = 0.10
T axis (°)
59 ± 47 (50 ± 17; N = 23)
54 ± 17
P = 0.57
Resting cardiopulmonary and metabolic characteristics
Response to exercise of selected ventilatory and metabolic variables in the study subjects
Females (N = 24)
Males (N = 27)
Ventilation and lung volumes
#23.5 ± 5.7; N = 22
83.5 ± 12.3; N = 23 *
#24.9 ± 5.1
110.7 ± 16.4 *†
Normalized ventilation (l/min/kg)
#0.39 ± 0.08; N = 22
1.38 ± 0.20; N = 23 *
#0.36 ± 0.09
1.61 ± 0.26 *†
Ventilated lung volume (l)
2.58 ± 0.56
3.55 ± 0.54; N = 19 *
3.78 ± 0.66 †
4.82 ± 1.06; N = 25 *†
Normalized ventilated lung volume (l/kg)
0.043 ± 0.012
0.060 ± 0.012; N = 19 *
0.055 ± 0.011 †
0.071 ± 0.016; N = 25 *†
Blood lactate (mmol/l)
1.60 ± 0.31;N = 22
11.63 ± 2.47;N = 23 *
1.70 ± 0.50
13.03 ± 3.22 *†
7.356 ± 0.030;N = 22
7.254 ± 0.049;N = 23 *
7.354 ± 0.027
7.248 ± 0.048 *
Blood base-excess (mmol/l)
0.76 ± 1.07;N = 22
−9.77 ± 2.87;N = 23 *
1.34 ± 0.89
−10.18 ± 2.93 *
Blood HCO3 - (mmol/l)
24.4 ± 1.0;N = 22
16.6 ± 2.0;N = 23 *
24.9 ± 0.8
16.5 ± 2.0 *
Cardiopulmonary and metabolic responses to exercise
In this investigation we demonstrate expected sex differences in the response to a maximal bicycle stress exercise test in trained adolescents  and that the cardiovascular, respiratory and metabolic differences are essentially similar to those observed in adults [8–10]. We also demonstrate that maximum heart rate, systemic lactate levels, and RQ are similar in adolescent boys and girls, which indicates that maximum performance is associated with the same metabolic adaptation irrespective of sex. However, we observe that the normally observed difference in peak VO2 per kilogram body mass comparing boys and girls disappears when peak VO2 is normalized to leg muscle mass only. This finding suggests that, when applied to aerobically trained subjects, there is a close relationship between leg muscle mass and peak VO2 and that peak VO2 normalized to leg muscle mass serves as a guiding measure when evaluating the individual level of aerobic performance and comparing the degree of fitness between boys and girls in aerobic sports.
The cardiopulmonary and metabolic response to a maximal bout of exercise has been well studied in adults and differences between sexes have been previously described [8, 10]. However, when we were to start an evaluation program of the training levels and physical performances of adolescent female floor-ball players, it was unclear which peak VO2 levels, and metabolic differences and/or similarities should be accounted for by sex when comparing boys and girls in this category of dynamically exercising  adolescents. A number of studies have evaluated VO2max in children and adolescents, and generally it appears that in children below 12 years of age VO2max is slightly higher in boys than in girls, whereas differences begin to expand during adolescence [5, 7, 8, 12, 13]. Reaching adolescence, however, clinical and experimental data regarding ventilation, metabolism and hemodynamics are scarce and interpretation of test results and referencing is difficult.
In this investigation, we demonstrate lower resting and working blood pressures and higher resting heart rates in females, resting ECG patterns are similar except for QTc which is longer in females. Furthermore, aerobically trained adolescent girls and boys increase their heart rate and lactate levels to similar limits, being slightly higher in boys but without any detectable differences abroad the age-span investigated, in response to an aerobic maximal stress exercise test. Females and males exhibit similar maximum heart rates, which translate into a greater cardiac index in boys, being the one key factor leading to a greater peak VO2. The metabolic compensation, however, demonstrated a very similar adaption as pH, HCO3 -, and the respiratory ratio (RQ) exhibit identical responses. Taken together, a pattern very similar to that observed in aerobically trained young adults [8, 9].
In terms of peak VO2, we observed absolute values similar to those previously reported in this age group  with a difference between females and males when comparing absolute peak VO2, peak VO2 normalized per kilogram total body mass, or lean body mass. When normalizing to estimated leg muscle mass, however, girls and boys demonstrated similar peak VO2. We take this to demonstrate that peak VO2 is balanced against leg muscle mass in aerobically trained adolescent girls and boys. This finding is in line with previous observations in adults [14–16] but not in children [7, 13, 17]. In the study by Sunnegårdh & Bratteby , however, females exhibited lower levels of physical activity, as a contributory explanation for a lower VO2max, and a possible sex difference in VO2max normalized to estimated lean leg volume , in other words differences may be much smaller in trained compared to untrained subjects. When interpreting their data in relation to observations in children by Davies et al.  it appears that VO2max normalized to lean leg volume/leg muscle mass would be similar in boys and girls around 15–16 years of age  and older. Integrating these previous findings with observations from this investigation we propose that peak VO2 normalized to leg muscle mass is an acceptable clinical indicator to evaluate individual aerobic performance in relation to body composition and perform inter-sex comparisons in aerobically trained adolescents. In addition, the normalization of peak VO2 to estimated leg muscle mass, when compared to normalization to total body mass/lean body mass has an impact on the classification rank of training-level in girls, but much less so in boys.
Finally, when comparing the maximal exercise stress tests between girls and boys, we made the subjective observation that boys exhibit an operator-perceived degree of exercise stress that is more pronounced than in girls. Accordingly, the operator, without taking into account physiological measurements during the test would feel that the boys put in a greater effort than the girls, and that the girls appeared not to reach the point of total exertion. Examining the physiological responses of maximum heart rate or blood lactate levels, however, demonstrate that the girls are at a similar point of exertion as is the boys. We believe that this “wrong” perception that girls appear not to reach full exertion during testing is mainly caused by differences in ventilation volumes; with greater volumes and panting in boys (Table 2), leading to psychological perception of higher effort. Obviously, such a perceptive bias is important to note when working with exercise training in adolescent girls.
In conclusion, we demonstrate that the main factors to realize when working with aerobic training programs in female adolescents are: 1) resting blood pressure is lower, resting heart rate is higher and the ECG exhibits longer QTc interval when compared to males; 2) in response to a maximal bicycle exercise stress test maximum heart rate, maximum blood lactate levels and metabolic compensation are similar in adolescent females and males; 3) the increase in cardiac index during exercise is the key factor responsible for the greater absolute peak VO2 in adolescent boys compared to girls; 4) observed difference in peak VO2 per kilogram body mass comparing boys and girls disappears when peak VO2 is normalized to leg muscle mass only. This finding suggests that peak VO2 normalized to leg muscle mass could be a useful measure when comparing the degree of fitness between adolescent boys and girls in aerobic sports; and 5) there is a subjective operator-perceived impression that girls do not reach full exertion during testing, but physiological measurements clearly show a level of exertion similar to that of boys.
A total of 24 adolescent female and 27 adolescent male floor-ball players, i.e. an activity with a high dynamic (aerobic) component and a low/moderate static (anaerobic) component , were recruited from teams of a local floor ball club and investigated according to the protocol described below. All subjects and their parents gave written informed consent to participation following comprehensive oral and written information about the study protocol and the aims of the study. The investigation was approved by the ethical committee of Northern Stockholm (Young Athlete Heart Study, 2009/1246-31/1) and conformed to the principles set forth in the declaration of Helsinki.
The subject reported to the study room and underwent a health interview regarding family and personal medical history and a physical exam. The subject’s height, weight and results of segmental body impedance were recorded. A standardized cardiac ultrasound examination was then performed.
Thereafter, a peripheral venous catheter was inserted into an ante-cubital vein and basal blood samples drawn. A baseline supine resting 12-lead ECG and blood pressure was recorded and the subject thereafter placed on the exercise bicycle instrumented with 12-lead exercise ECG electrodes, blood pressure measurement cuff, and a mouth-piece and nose-clip so that breath-by-breath ventilation, O2 and CO2 gas-exchange, and pulmonary blood flow by inert gas rebreathing technique could be measured.
The subjects then performed the exercise bicycle test using the same exercise protocol, starting at basal 60 watts load with 20 watts increments per minute, in both females and males. The subjects performed the test until self-experienced total exertion, and maximum stress of dyspnea, leg fatigue, and chest pain recorded by means of a modified visual-analog Borg scale ranging from 0 (no perceived stress) to 20 (maximum perceivable stress) [19, 20]. Following the exercise test the subjects were de-instrumented and immediately placed in the supine position for recovery and post-stress blood samples were collected and the protocol terminated.
Total body impedance
Subject body composition, i.e. body fat, water, and muscle composition, including segmental body and limb analysis of fat and muscle masses were measured by bioimpedance using a Tanita Body Composition Analyser BC 418MA device (Tanita, Helsinge, Denmark) . Bioimpedance provides an acceptable estimate and was chosen over the more accurate dual energy x-ray absorptiometry or magnetic resonance imaging because they were considered not to be ethically feasible in this investigation.
Before the exercise test baseline blood samples were collected for the analysis of blood chemistry including red blood cell count, hematocrit, total hemoglobin, mean corpuscular volume, mean corpuscular hemoglobin concentration, leukocyte count, platelet count, Na, K, creatinine, and forearm venous blood gas chemistry (ABL 700, Radiometer, Copenhagen, Denmark) for metabolic assessment (base-excess, HCO3 -, pH) and blood lactate concentration . An additional forearm venous blood gas chemistry sample was drawn 10 min following maximal exercise stress for post-stress analysis.
All subjects underwent a pre-study echo-cardiographic exam. A commercially available ultrasound apparatus (Vivid i, GE Vingmed, Horten, Norway) was employed for echo-cardiographic examinations using a standard phased 2.5 MHz multi-frequency transducer. The examinations were performed with the participant lying at the left lateral recumbent position at the end of expiration and the images acquired according to the recommendations of the European Society of Echocardiography from the parasternal and apical views .
Resting blood pressure was recorded in the supine position using a semi-automatic blood pressure recording device (Omron 705IT, Omron Healthcare). During exercise systolic blood pressures were recorded using a blood pressure cuff and an ultrasound Doppler flow measurement probe positioned over the radial artery.
Exercise stress bicycle setup and ECG-recording
The stress test was performed on a Rodby Ergometer Bike RE990 stress test bicycle with a pre-loaded protocol (60 watt start / 20 watt increment/min) and an integrated standard 12-lead ECG recording (GE Case, GE Healthcare, Sweden). The 12-lead ECG was recorded at supine rest and during the whole exercise protocol to evaluate ST-segment deviations, arrhythmia and maximum heart rate.
Ventilation, gas-exchange, pulmonary blood flow and cardiac output
During the exercise stress test the subjects were connected to an Innocor® device (Innovision, Odense, Denmark) through a breathing mouth piece with continuous inspiratory and expiratory gas sampling for analysis and flow measurement. Mouth-circuit breathing was secured by the subject wearing a tight nose-clip to prevent nasal ventilation. Ventilation, O2, and CO2 exchange was measured on a breath-by-breath basis and stored on the hard drive for subsequent analysis. Peak VO2 was derived as the average VO2 obtained during the final 30 seconds of exercise and normalized to total body weight, lean body weight, i.e. fat free mass, and estimated leg muscle mass respectively. Using the same Innocor® device, pulmonary blood flow was measured at baseline with the subject seated on the bicycle ergometer and at maximal exercise using the inert gas rebreathing technique. To measure pulmonary blood flow the subject performed 30 seconds of closed circuit rebreathing from a bag containing a gas mixture of 50% O2, 5% N2O (soluble gas), 1% SF6 (insoluble gas) in N2 diluted with ambient room air. The rebreathing bag volume was set individually in each subject as 30% above the expected tidal volume. Pulmonary blood flows and ventilated lung volumes were calculated using standard formulas as a part of the Innocor® software (Innovision, Odense, Denmark) [24, 25]. Pulmonary blood flow was assumed to equal cardiac output as there was no pulmonary shunting of blood, and cardiac index was calculated from cardiac output according to standard formula.
Statistical analysis was performed using the Statistica v 10 (Statsoft Inc., Tulsa, USA). Unpaired t-test with correction (Newman-Keuls) for multiple comparisons was used to detect differences in selected variables between female and male subjects. Primary variables pre-defined for analysis were: Anthropometric data, peak VO2, peak VO2 per kilogram body mass, peak VO2 per kilogram lean body mass, peak VO2 per kilogram leg muscle mass, maximum heart rate and blood pressure during exercise, ventilation, ventilated lung volumes, ventilated lung volumes per kilogram body mass, changes in metabolic; i.e. base-excess and pH and lactate levels. ANOVA analysis with post-hoc testing corrected for multiple comparisons (Newman-Keuls) was used to analyze responses to exercise and effect of sex. P < 0,05 was considered statistical significant.
Åsa Fomin and Mattias Ahlstrand were equal first author contributors. Aristomenis Manouras and Anders Gabrielsen were senior author contributors.
This study was supported by the Swedish Heart-Lung foundation. We thank Eva Wallgren, Department of Cardiology, Karolinska Institutet for important technical and analytical support.
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