Improving Peripheral and Central Vascular Adjustments during Exercise through a Training Program in Adolescents with Obesity

Abstract

Objective

The effects of a training program (TP) on muscle microvascularization during exercise remained to be explored in adolescents with obesity. We hypothesized that a TP would lead to better microvascular adaptations to exercise in skeletal muscle.

Methods

15 inactive adolescents followed a 12-week TP where both peripheral (muscular microvascularization) and central (cardiac) adaptations to exercise (40 min exercise set at 70s% V̇O_2peak) were assessed before and after intervention. Microvascular adaptations were evaluated in the Musculus vastus lateralis with near-infrared spectroscopy, by measurement of muscular blood volume (IR-BV) and tissue oxygen saturation (IR-SO₂). Central adaptations were evaluated using thoracic impedance.

Results

The TP favored lower BMI (p < 0.001), lower total and abdominal fat (p < 0.001), and a trend for the decrease in insulin resistance index (p = 0.07). V̇O_2peak relative to weight (p = 0.008) and maximum power output increased (p = 0.0003). A smaller initial drop in IR-BV and IR-SO₂ (p < 0.001), a prompter return of these parameters to their base values, and a higher IR-BV and IR-SO₂ all times taken together (p < 0.001) were observed after completing the TP. Concerning central adaptation, cardiac output decreased (p < 0.001).

Conclusion

We demonstrate for the first time by noninvasive techniques that a training program induces peripheral and central vascular adaptations to exercise in adolescents with obesity.

Introduction

Obesity in adolescents is associated with comorbidities such as cardiovascular diseases, and the treatment of this pediatric vascular disorder remains a major public health challenge [1]. There is a linear relationship between adolescent obesity and cardiovascular risks in adulthood regardless of weight evolution [2]. In addition, early vascular dysfunction has been correlated with morbidity and mortality linked to adult atherosclerosis [3]. Physical activity (PA), given its well-documented metabolic and vascular effects, is now an integral part of healthcare directed at childhood obesity, in addition to dietary measures [4].

It has been demonstrated that both exercise and insulin play a part in increasing muscle microvascularization [5]. With exercise, the increased metabolic demand of muscle requires a cardiovascular adaptation both peripherally (muscle microvascularization) and centrally (cardiac microvascularization). The peripheral component involves both muscle capillary recruitment and arteriolar dilatation, in order to increase the blood flow and meet the demand for oxygen and nutrients by the muscles at work [5]. Insulin also increases the exchange surface area between plasma and muscle insterstitium by arteriolar vasodilatation [5] through a nitric oxide-dependent mechanism [6,7]. Thus, in insulin-sensitive subjects, postprandial physiological hyperinsulinemia increases blood flow to permit a better distribution of nutrients [5]. This postprandial adaptation mechanism is not evidenced in insulin-resistant subjects with obesity [8]. During exercise, insulin resistance associated with obesity would set a limit to vascular adaptations, hence to the delivery of oxygen and nutrients to the muscles [9].

A relationship between PA and insulin resistance has been shown in adolescent subjects, regardless of any weight loss, with a significant decrease in insulin resistance after a 8-week training program (TP) [10,11,12].

The impact of physical training on microvascular adaptations during exercise has not yet been explored in pediatrics due to the invasiveness of the methods used to measure microvascularization. We hypothesized that a combined 12-week TP would improve muscle oxygenation through microvascularization adaptations during exercise in adolescents with obesity. Our main goal was to use noninvasive techniques to assess training-induced microvascular adaptations to exercise. A secondary goal was to explore the relationship between lowering of insulin resistance and microvascular adaptations to exercise.

Subjects and Methods

Subjects

15 inactive (<10 MET-h/week [13]) adolescents aged 12–16 years (Tanner stage 3–5), with BMI > 97th percentile according to the French reference curves [14] were included at the time of admission in a home for obese children (Centre Médical Infantile, Romagnat, France). Recent weight loss (last 2 months), medication affecting energy metabolism, regular tobacco or alcohol use, and any medical condition precluding PA were considered as exclusion criteria. All adolescents and their parents gave written informed consent to participate after being fully briefed and informed of the study procedures. The trial was approved by the regional ethics board in compliance with the good clinical practice guidelines in the Declaration of Helsinki.

Study Design

After a medical examination to ensure their ability to complete the study, the adolescents were asked to attend two experimental sessions (7 days apart): i) anthropometric measurements, blood samplings, and maximal exercise tests; ii) a 40-min constant power exercise (70s% V̇O_2peak) during which microvascular and central adaptations were assessed. Both sessions were performed before (W₀) and after (W₁₂) a 12-week intervention. The intervention consisted in a 12-week PA program (without dietary intervention) comprising 3 sessions of 90 min per week: i) endurance training using ergocycles and treadmills, starting at 50s% to reach 80s% V̇O_2peak by the end of the program; ii) a resistance-based exercise session (training circuit alternating upper and lower limbs exercise, with 10 repetitions per exercise, grading from 50 to 80s% of the adolescent's 10 maximal repetitions; iii) the last session was mainly based on collective sports. Each missed session was caught up.

Anthropometric Measurements and Body Composition

Weight and height were measured with an accuracy of 0.1 kg and 0.5 cm, respectively. Waist circumference was measured between the last ribs and the upper iliac wings with a flexible tape measure. Body composition was evaluated by dual energy X-ray absorptiometry (DXA; Hologic QDR-4500A, Bedford, MA, USA) [15,16]. The subjects laid on the DXA table in a supine position and remained still for the duration of the scanning procedure. Data was analyzed using the Hologic QDR Software for Windows (version 12.6), which integrates whole-body measurement and standard body regions, such as trunk, arms and legs, delineated by specific anatomical landmarks. From this the fat mass percentage by DXA was calculated. Thereafter, the percentage of abdominal fat mass was determined manually by a trained experimenter, by delineating a rectangular box around the region of interest between vertebral bodies L1 and L4. The upper limit was set with the horizontal line going through the T2/L1 vertebral space and the lowest limit was set with a horizontal line going through L4/L5 vertebral space [17]. This method has been previously used in obese youth [18].

Blood Samplings

Glycemia, insulinemia as well as plasma levels of total, LDL and HDL cholesterol, triglycerides and ultrasensitive C-reactive protein (us-CRP) were measured in venous blood in a fasting state at least 48 h after the last training session. LDL cholesterol was computed using the Friedwald's formula (LDL cholesterol (mmol/l) = cholesterol total (mmol/l) – HDL cholesterol (mmol/l) – triglyceride (mmol/l) × 0.5). Insulin resistance was expressed using the homeostasis model assessment of insuline resistance index (HOMA-IR = glycemia (mmol/l) × insulinemia (mUI/l) / 22.5) [19].

Maximal Incremental Exercise Test

The initial power was set at 30 W during 3 min followed by a 15-watt increment every minute until exhaustion. The adolescents were strongly encouraged by the experimenters throughout the test to perform at maximal effort. Maximal criteria were: heart rate (HR) > 90s% of the theoretical maximum heart rate (210 − 0.65 × age), respiratory exchange ratio (RER = V̇CO₂/V̇O₂) > 1.1 and/or V̇O₂ plateau. Cardiac electrical activity was monitored (Ultima Series™; MGC Diagnostics, Saint Paul, MN, USA), and the test was coupled with a measurement of gas exchanges breath by breath (BreezeSuite Software; MGC Diagnostics) that determined respiratory minute volume (V̇E), oxygen consumption (V̇O₂) and CO₂ production (V̇CO₂). Volumes and gases were calibrated before each test. The peak oxygen consumption (V̇O_2peak) was defined as the average of the last 30 s of exercise before exhaustion. The first ventilatory threshold (VT) was determined graphically by Wasserman's method and confirmed on the Beaver curve by two different operators [20,21].

40-min Constant Exercise

After a 5-min rest period, the participants cycled for 40 min at a constant intensity close to VT (about 70s% V̇O_2peak measured at W₀). The children were strongly encouraged. The exact same exercise was performed before and after TP. Microvascular and central adaptations to exercise were measured concomitantly at rest and during the 40-min exercise.

Microvascular Adaptations

The blood volume and the oxygenation profile of skeletal muscle were monitored by near-infrared spectroscopy (NIRS) (Oxymon Mk III; Artinis Medical Systems, Elst, The Netherlands). The NIRS sensor was positioned on the bulk of the right Musculus vastus lateralis so that the center of the two optodes was located 15 cm above the upper edge of the kneecap, with the knee extended, parallel to the main axis of the muscle between the lateral epicondyl of the femur and the greater trochanter. The skin fold was measured at the point of fixation. Each NIRS probe comprised a transmitter and a receiver for two different wavelengths, 760 nm and 850 nm. Inter-optode distance was 3.5 cm. The differential path length factor was 4. Two parameters were measured: muscle blood volume (IR-BV, the sum of the two absorbances at wavelengths 760 and 850 nm) and tissue oxygen saturation (IR-SO₂, the difference in absorbance at the two wavelengths). The data were collected at a frequency of 10 Hz, and averaged every 30 s. The results were expressed relative to the average resting value: the value 0 was thus arbitrarily taken for the start of the exercise. The variations in IR-BV and IR-SO₂ gave a continuous estimate of the regional changes in blood volume and the local balance between oxygen delivery to muscle and its extraction by muscle [22]. Kinetics of IR-BV and IR-SO₂ at W₀ and W₁₂ were compared.

Central Vascular Adaptations

The cardiac output (CO) was measured continuously by PF05 Lab1™,(PhysioFlow, Bristol, PA, USA). The stroke volume (SV) was calculated from the measurement of variations in thoracic bioimpedance fluctuations [23]. HR, SV, and CO were averaged over 30 s.

In all, the parameters collected over the exercise at constant power were: IR-BV(t), IR-SO₂(t), HR(t), SV(t), and CO(t).

Statistical Analysis

Sample size estimation has been initially proposed to show an important effect size around 1, according to Cohen's recommendations [24]. Also, with n = 13 subjects, an effect size equaling 1 can be highlighted for a two-sided type I error at 5s% and a statistical power at 90s%. Finally, 15 subjects have been included to take into account possible lost to follow-up.

Statistical analysis was performed using Stata software, version 13 (StataCorp, College Station, TX, USA). The tests were two-sided, with a type I error set at α = 0.05. Data were presented as the mean ± standard deviation or the median (interquartile range) according to statistical distribution (assumption of normality studied by Shapiro-Wilk test). For paired comparisons between W₀ or W₁₂, usual statistical tests were performed: paired t-test or Wilcoxon test for quantitative variables and Stuart-Maxwell's test for categorical parameters. Concerning repeated correlated data (parameters measured longitudinally such as IR-BV, IR-SO₂, HR, SV, and CO), mixed models (linear for continuous dependent variable with log-transformation to achieve normality when appropriate) have been proposed in order to take into account the between and within subject variability (random effect) while studying impact of fixed effects: group (W₀ or W₁₂), time point evaluation and their interaction. When p value associated to interactions were < 0.05, subgroup analyses were proposed. The normality of residuals was studied for each of the models.

Results

15 adolescents (4 boys and 11 girls) met the inclusion criteria and enrolled the study. Their program attendance was 100s%.

Anthropometric and Biological Parameters

The adolescents' mean age was 13.8 ± 1.7 years. The main anthropometric characteristics are given in table 1. The absolute weight loss after training was 3.8 ± 3.5 kg (−4.3s%), with a significant decrease in BMI, waist circumference, and both total and abdominal fat mass, but no loss of lean mass.

Table 1.

Anthropometric measurements, body composition and blood chemistry values at week 0 (W₀) and week 12 (W₁₂) (n = 15; mean ± SD)

	Wo	W12	p value
Weight, kg	87.2 ± 11.6	83.4 ± 11.8	0.001
Height, cm	161 ± 8	161 ± 8	0.41
BMI, kg/m2	33.6 ± 3.9	32.0 ± 3.8	<0.001
Waist circumference, cm	102.4 ± 17.0	98.6 ± 17.5	<0.001
Lean body mass, kg	51.5 ± 8.1	51.6 ± 8.5	0.72
Total fat mass, kg	35.3 ± 5.7	29.6 ± 9.8	<0.001
Percent body fat, s%	40.1 ± 4.3	37.2 ± 4.9	<0.001
Abdominal mass, kg	5.7 ± 1.5	5.5 ± 1.4	0.03
Abdominal lean mass, kg	3.3 ± 0.7	3.4 ± 0.7	0.84
Abdominal fat mass, kg	2.4 ± 1.0	2.1 ± 0.9	<0.001
Abdominal fat mass, s%	40.6 ± 6.9	36.7 ± 8.0	<0.001
Insulinemia, mUI/l	21.7 ± 14.0	18.1 ± 11.2	0.11
Glycemia, mmol/l	4.46 ± 0.50	4.13 ± 0.84	0.02
HOMA-IR	4.30 ± 3.18	3.58 ± 2.85	0.07
Total cholesterol, mmol/l	3.59 ± 0.93	3.89 ± 0.56	0.13
LDL cholesterol, mmol/l	2.32 ± 0.76	2.33 ± 0.61	0.94
HDL cholesterol, mmol/l	0.97 ± 0.19	1.06 ± 0.17	0.04
Triglycerides, mmol/l	1.24 ± 0.92	1.00 ± 0.44	0.82
us-CRP, mg/l	2.60 ± 1.41	1.13 ± 1.18	0.04

us-CRP = Ultrasensitive C-reactive protein; HOMA-IR = homeostasis model assessment of insulin resistance.

Biological parameters are given in table 1. We noted a significant increase in HDL cholesterol and a significant decrease in us-CRP. A trend for the decrease in HOMA-IR was recorded after TP (p = 0.07), with a significant reduction of fasting glycemia and a nonsignificant reduction of insulinemia.

Maximal Aerobic Capacity

Functional parameters are given in table 2. Maximal power output (Pmax) increased significantly after TP. V̇O_2peak increased significantly relative to body mass but not significantly in absolute value. VT was shifted graphically rightwards, as shown by the significant increase in P and V̇O₂ at VT.

Table 2.

Functional results of maximal incremental exercise test at week 0 (W₀) and week 12 (W₁₂) (n = 15; mean ± SD)

	W0	W12	p value
Pmax, W	133.5 ± 30.8	154.0 ± 31.5	0.0003
Relative Pmax, W/kg body mass	1.53 ± 0.29	1.86 ± 0.36	0.0003
VO2 peak, l/min	1.9 ± 0.3	2.0 ± 0.4	0.22
Indexed VO2max, l/min/kg body mass	22.6 ± 3.6	24.6 ± 4.5	0.008
VEmax, l/min	73.6 ± 12.7	77.1 ± 14.8	0.17
RERmax	1.13 ± 0.06	1.17 ± 0.06	0.03
HRmax, bpm	186 ± 11.4	181 ± 14.0	0.02
P VT, W	88.2 ± 24.2 (90.0)	107.1 ± 30.4 (105)	0.0004
VO2 VT, l/min	1.30 ± 0.25 (1.3)	1.46 ± 0.32 (1.4)	0.03

HR = Heart rate; P = power output; RER = respiratory exchange ratio; VE = minute ventilation; VO₂ = oxygen consumption; VT = ventilatory threshold.

Central Vascular Adaptations during Constant Exercise

The average workload during exercise was 73 ± 12 W, which corresponds to a V̇O₂ value at 69s% and 65s% of V̇O_2peak measured at W₀ and W₁₂, respectively. The average time course kinetics of HR, SV, and CO at W₀ and W₁₂ are given in figure 1. These parameters decreased significantly (p < 0.001) after TP. Their average values over the whole duration of the exercise were 148 ± 21 bpm at W₀ and 140 ± 19 bpm at W₁₂ for HR, 105 ± 19 ml at W₀ and 103 ± 19 ml at W₁₂ for SV, and 15.5 ± 3.3 l/min at W₀ and 14.4 ± 2.7 l/min at W₁₂ for CO.

Fig. 1.

Average time course kinetics of a HR, b SV and c CO during exercise lasting 40 min at constant intensity, at W₀ (continuous line) and W₁₂ (dotted line). The parameter values are expressed as average ± standard error (n = 15) and were compared between W₀ and W₁₂.

Microvascular Adaptations in the M. vastus lateralis during Constant Exercise

The average time course kinetics of IR-BV and IR-SO₂ before and after TP are shown in figure 2. At both W₀ and W₁₂, the parameters are described in three phases: phase 1 (time interval for which the relative values are significantly lower than the base value), phase 2 (time interval for which the relative values are not significantly different from the base value), and phase 3 (time interval for which the relative values are significantly higher than the base value). At both W₀ and W_12, after 30 s of exercise, there was a significant reduction of IR-BV and IR-SO₂, with a nadir reached 1 min after the start of the exercise. During phase 3, the increase in values was constant until the end of exercise with no plateau. All times take together, IR-BV and IR-SO₂ were significantly higher at W₁₂ (p < 0.001), with differences in time course during the different phases.

Fig. 2.

Average time course kinetics of muscle blood volume (IR-BV) (a) and tissue oxygen saturation (IR-SO₂) (b) in the M. vastus lateralis during the 40 min exercise at constant power, at W₀ (continuous line) and W₁₂ (dotted line) (n = 15). IR-BV and IR-SO₂ are expressed relative to base values, average ± standard error. For each time, IR-BV(t) and IR-SO₂(t) were compared with their base value (double horizontal arrows) and between W₀ and W₁₂ (vertical double arrows).

During phase 1, we found a prompter return to base IR-BV (10 min at W₀ and 6 min at W₁₂), a significantly higher nadir (−8.6 ± 3.7 at W_0, −5.7 ± 2.8 at W_12, p = 0.017), and a significantly higher IR-BV(t) (p < 0.001) after TP. During phases 2 and 3, IR-BV(t) was significantly higher after TP (p < 0.001).

Moreover, during phase 1, we observed a prompter return to base IR-SO₂ (5 min at W₀ and 2 min at W₁₂), a significantly higher nadir (−3.8 ± 2.3 to W₀, −2.3 ± 1.9 at W₁₂; p = 0.01), and a significantly higher IR-SO₂(t) (p < 0.001) after TP. During phases 2 and 3, IR-SO₂(t) was significantly higher after TP (p < 0.001).

There was no modification of blood hemoglobin concentration after TP (12.9 ± 0.8 g/dl at W₀, 13.0 ± 0.5 g/dl at W₁₂, p = 0.24). The fat thickness at the point of fixation of NIRS was 16.3 ± 7.5 mm at W₀ and 16.1 ± 7.7 mm at W₁₂ (p = 0.62).

Correlation between Microvascular Adaptations and HOMA-IR

There was no significant correlation between the increase in IR-BV and IR-SO₂ and the decrease in HOMA-IR after TP, at any time or for all times taken together for the 40 min of exercise (no correlations either with fasting glycemia or fasting insulinemia or waist circumference or abdominal fat mass).

Discussion

The main goal of this study was to measure the impact of a 12-week TP on microvascular adaptations to exercise in adolescents with obesity by noninvasive techniques. The study shows that the program increases microvascularization during exercise and speeds peripheral vascular adaptations at the start of exercise, causing less initial de-oxygenation and a prompter response of the muscle to the metabolic demand. This is the first prospective trial that evaluates the effects of training in adolescents with obesity on vascular adaptations to exercise using NIRS. Muscle blood volume kinetics and muscle oxygenation profile obtained by NIRS are fully consistent with those obtained by Costes et al. [25] in healthy adults with 15-min exercises at a constant intensity of 50s% and 80s% of V̇O_2peak, showing a nadir within the first few minutes and gradual tissue re-oxygenation associated with a new increase in blood volume. Variations in temperature and skin hydration during long-duration exercises can modify optical parameters [26], which can explain the drift in NIRS values at the end of the exercise. However, this does not affect the general kinetics observed and the comparison before and after TP. We would like to remind you to keep in mind that NIRS reflects only microcirculatory adjustments at the muscle periphery and is not directly informative about deep vascular adaptations. It has been shown that in subjects with obesity, subcutaneous fat prevents some of the infrared radiation from being transmitted to the muscle [26]. Although one could argue that adipose tissue thickness can limit our measure, it has been assessed using a B-mode ultrasound device at the point of fixation of NIRS optodes in a gender- BMI- and aged-matched population of 10 adolescents. The subcutaneous thickness was 13.4 ± 0.2 mm, which matches with the skin fold measured before and after TP. Since the penetration depth of the light is estimated between 15 and 20 mm (half of inter-optode distance), we thus can consider that NIRS measured effectively muscular microvascularization and that adipose thickness is not a limiting factor. The NIRS signal reflects the balance between O₂ delivery and O₂ consumption but different mechanisms can be involved in the increase in microvascularization. Particularly, NIRS signal cannot distinguish vasodilatation or neocapillarization induced by training [27]. Additional histological analysis on muscle biopsies would yield more information, but would be problematic in clinical research on children. NIRS is a noninvasive alternative technique, well accepted, and painless. It has been used recently to detect oxidative skeletal muscle impairments during exercise in children with hematological cancers [28], but not in obese children.

Concerning the secondary objective, we only found a trend for the decrease in HOMA-IR (p = 0.07). This can be explained by the low sample size and the high interindividual variability in HOMA-IR, although this noninvasive technique was closely correlated with the reference euglycemic hyperinsulinemic clamp technique [29]. The decrease in HOMA-IR is still an important finding insofar as this parameter is considered as an independent predictive factor of cardiovascular risk [19]. For the HOMA-IR index, the variation before and after the TP is −24s% (range −47; 20s%). As indicated by Feise [30], one must be careful to not only focusing upon statistical significance, but also upon the quality of the research within the study and the magnitude of differences. However, it was recently shown that HOMA-IR reflected hepatic rather than muscular insulin resistance [31]. Postprandial measurement of the insulinemia/glycemia ratio would have been technically too complex to be carried out here (duration of experimentation, standardization of meals, repeated blood sampling etc.). Microvascular improvements during exercise may be the direct outcome of TP; it has been demonstrated in adults that 16 weeks of endurance training increased the number of capillaries per muscle fiber measured on biopsies of the M. vastus lateralis [32]. A recent meta-analysis [33] has demonstrated that flow-mediated dilation is improved in overweight and obese children, but this study does not directly attest the capillary adjustments in response to exercise. The hypothesis of an insulin-dependent increase in muscle microvascularization as suggested in adults through invasive methods cannot be ruled out. It was recently demonstrated that the increased capillary density induced by endurance training lasting 6 months and measured on biopsies in insulin-resistant adults was correlated with a reduction of insulin resistance measured using the clamp technique, independently of improvements in the subjects' body composition and aerobic capacity [34]. It may therefore be possible that the choice of technique is responsible for the absence of any correlation in our study. Although many trials have evidenced the insulin dependency mechanisms underlying increased microvascularization [5,7,8,35], correlation between these parameters in no sense proves causality.

Regarding methodology, the lack of a control group composes the main limitation of the present work. The before-and-after profile of the study was emphasized in view of national ethical considerations, which place physical activity at the cornerstone of healthcare for obesity. Although making up a control group of unmanaged obese adolescents would have been scientifically useful, it is ethically problematic to make clinical measurements in adolescents who need healthcare for obesity in a specialized center without actually offering it. The ‘pre-post’ nature of this work provides however relatively strong evidence regarding the effect of our intervention, especially when looking at the length of the intervention (the short duration of the program limits any effects of the maturation process on our results).

Nevertheless, anthropometric, biological, and functional improvements after TP attest to the already advanced multitarget effect of PA in children. Reduced waist circumference and decreased total and abdominal fat mass without loss of lean mass are excellent markers of reduced metabolic risk [36,37]. Reduction of us-CRP also indicates a reduction in low-grade inflammation that favors atherosclerosis and insulin resistance in obesity [3,35,38]. The increase in HDL cholesterol and the 20s% drop in plasma triglyceride levels are also consistent with literature reports [39]. The gain of 9s% in aerobic capacity relative to body mass and the shift of VT is indicative of greater endurance in daily-life activities, which is very important because aerobic capacity measurements are now considered as major independent predictive parameters of mortality in adult and pediatric subjects presenting with cardiovascular risk factors [40,41]. Central vascular adaptations observed during the constant exercise (diminution after TP by 6s% in HR and 8s% in CO) are also consistent with an impact of training on cardiovascular parameters as recently described [42,43]. The lowering of CO was observed concomitantly with the increased blood volume in the M. vastus lateralis, reflecting an improvement in the distribution of blood flow with exercise after TP. However, it is important to underline that the average weight loss observed in the adolescent groups studied might have had consequences on the physiological adaptations during exercise, and we therefore cannot totally dissociate effects linked to training alone from those linked to weight loss. In addition, we would like to mention that TP was not associated with any recommendations in terms of energy restrictions. It was shown that muscle oxygenation and blood flow measured by NIRS during an endurance exercise changed after training in healthy adults [25]. These adaptations confirmed the well-known training-induced improvements in capillarization and oxidative capacities, as muscles are the main consumer of glucose and fatty acids [44]. To the best of our knowledge, this has never been demonstrated in obese adults or in obese children. However, these adaptations could be used as a noninvasive index of a muscle training effect. Using noninvasive measurements, we demonstrated increases in oxygen extraction and utilization via central and peripheral blood flow adjustments during the exercise. This is of clinical interest in order to ascertain the benefits of such TPs and to reinforce the compliance of obese adolescents with combined training (endurance and resistance twice a week, plus one session of collective sport) in a real-life setting.

Our trial demonstrates that a 12-week TP combining endurance and muscle strengthening induces an increased microvascularization of exercised lower limbs. In addition, we could show both peripheral and central adaptations due to the TP resulting in improvements in the distribution of blood flow with exercise after TP. These improvements of anthropometric, biological parameters and aerobic capacities thus are strong proofs in favor of generalizing this type of healthcare in adolescents with obesity. The mechanisms that account for vascular improvements, in particular the role of insulin, need further investigations on a greater number of patients. An understanding of the mechanisms induced by PA is an indispensable requirement for guiding its prescription with respect to type, intensity, and duration of exercise.

Funding

No funding.

Disclosure Statement

The authors declare no conflict of interest.