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Erschienen in: Sport Sciences for Health 2/2021

Open Access 24.12.2020 | Original Article

Aerobic fitness is a potential crucial factor in protecting paralympic athletes with locomotor impairments from atherosclerotic cardiovascular risk

verfasst von: Marco Bernardi, Silvio Romano, Maria Rosaria Squeo, Emanuele Guerra, Paolo Emilio Adami, Federica Alviti, Antonella Mattei, Loretta Corsi, Riccardo Lanzano, Pietro Giacomo Curatulo, Dimitri Mandolesi, Fabiana Parisi, Barbara Di Giacinto, Donatella Dante, Claudio Marini, Evgeny Mashkovskiy, Francisco Javier Ordonez, Antonio Spataro

Erschienen in: Sport Sciences for Health | Ausgabe 2/2021

Abstract

Purpose

To test the hypothesis that aerobic fitness is inversely related to the risk of atherosclerotic cardiovascular disease (ACVD) in athletes with locomotor impairments deriving from health conditions, such as spinal cord injury (SCI), lower limb amputation, cerebral palsy, poliomyelitis, and other health conditions different from the previous ones.

Methods

A total of 68 male athletes who competed in either summer or winter Paralympic games were divided in two health conditions groups (35 with SCI, mean age 37.2 ± 8.0 years, and 33 with different health conditions, mean age 37.8 ± 9.9 years) and in four sport type groups (skill, power, intermittent—mixed metabolism—and endurance). They were evaluated through anthropometric and blood pressure measurements, laboratory blood tests, and graded cardiopulmonary maximal arm cranking exercise test, with oxygen uptake peak (VO2peak) measurement. Cardiovascular risk profile was assessed in each athlete.

Results

The prevalence of ACVD-risk factors in the overall population was 20.6% for hypertension; 47% and 55.9% for high values of total and LDL cholesterol, respectively; 22.1% for reduce glucose tolerance; and 8.8% for obesity. No difference was found between athletes with and without SCI, while the prevalence of obesity was significantly higher in those practicing skill sports (22.7%, p = 0.035), which was the sport type group with Paralympic athletes with the lowest VO2peak (22.5 ± 5.70 ml kg−1 min−1). VO2peak was lower in athletes with SCI than those with different health conditions (28.6 ± 10.0 vs 33.6 ± 8.9 ml kg−1 min−1 p = 0.03), and in those with 3–4 risk factors (19.09 ± 5.34 ml kg−1 min−1) than those with 2 risk factors (27.1 ± 5.50 ml kg−1 min−1), 1 risk factor (31.6 ± 8.55 ml kg−1 min−1), or none (36.4 ± 8.76 ml kg−1 min−1) (p < 0.001).

Conclusions

The present study suggests that having higher VO2peak seems to offer greater protection against ACVD in individuals with a locomotor impairment. Prescribing physical exercise at an intensity similar to that of endurance and intermittent sports should become a fundamental tool to promote health among people with a locomotor impairment.
Hinweise

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Introduction

Atherosclerotic cardiovascular disease is currently the main cause of mortality in able-bodied population [1] and in individuals with spinal cord injury (SCI) [2]. In recent years, longevity in individuals with SCI has increased significantly, although life expectancy is on average still shorter than in ambulatory individuals [2]. Indeed, able-bodied population has a lower risk of atherosclerotic cardiovascular disease (ACVD) than individuals with locomotor impairment, such as those with SCI [3, 4] or other health conditions such as lower limb amputation [46]. In particular, individuals with SCI are characterized by a higher incidence of secondary complications [7], including impaired glucose tolerance and diabetes mellitus, overweight and/or obesity [8, 9], hypertension [4], and impaired lipid profile [8], mainly because of a sedentary habit (due to immobilization caused by their health condition) and lack of physical activity [10, 11].
Individuals with a locomotor impairment, and especially those with SCI, are likely to get into a vicious cycle, due to a sedentary lifestyle, that can progressively reduce their quality of life and health, accelerating muscle weakening, worsening osteoporosis, increasing the decay of cardiovascular, neurological, and endocrine functions, eventually perpetuating a condition of reduced physical work capacity and increased motor impairment and muscle hypotrophy [12, 13]. Epidemiological studies about lifestyle and mortality of individuals after SCI demonstrate a significant positive correlation between longevity and active life [14]. An active lifestyle includes reduced sedentary behaviour (time spent sitting) and increased energy expenditure in daily life activities as well as exercise and sport. The health benefits of physical exercise, in particular aerobic training at appropriate intensities, are well documented in individuals with SCI and are traditionally documented by increased levels of cardiovascular fitness [10, 15] and, more recently, also by reduced oxidative stress [16] and reduced low-grade systemic inflammation [17]. This is why physical exercise is recommended for people with SCI [10] and new guidelines to improve fitness and cardio-metabolic health have been developed [18] and position statements to support physical exercise have been made [19].
In able-bodied individuals, a high level of aerobic fitness has a greater impact on ACVD than physical activity [20]. Indeed, a high aerobic fitness has been shown to be both indicative of a favorable prognosis in able-bodied individuals [2024], and associated with longevity [25] and lower rate of both cardiovascular and all cause mortality [26]. At our best knowledge, however, the relationship between aerobic fitness and cardiovascular risk reduction is debated in individuals with SCI with low cardiovascular fitness [2729] and it has been only suggested but not demonstrated in Paralympic Athletes [30], even though sport has been repeatedly considered and used as one of the most effective ways to improve cardiovascular fitness and provide health benefits in people with SCI [31], lower limb amputation [32], and other health conditions [30]. Nevertheless, a Brazilian study [33] and a recent Italian study [34] found in different cohorts of Paralympic Athletes a high prevalence of ACVD-risk factors. In spite of a demonstrated increased energy expenditure [35, 36] and its direct impact on VO2peak [35], some paralympic athletes are still at high risk of developing ACVD.
The aims of the present study were to test the hypothesis that in paralympic athletes with a locomotor impairment, the ACVD risk is inversely related to aerobic fitness, and to assess whether there are differences between athletes with or without SCI in these two variables. For this purpose, we evaluated 68 paralympic athletes with a locomotor impairment, competing in sports with a broad range of energy expenditure [35, 36] and aerobic fitness [37, 38].

Methods

Individuals with physical, visual, and intellectual impairments who have qualified to compete in the Paralympic Games must be evaluated for health [39] and fitness [12] to comply with Italian law [13] and Italian National Olympic Committee (CONI) rules [40] concerning sport eligibility. This pre-participation screening for individuals with an impairment, funded by the Italian Paralympic Committee (CIP), is carried out, as primary clinical care, at the Institute of Science and Medicine in Sport (CONI) in collaboration with the School of Specialty in Sports Medicine, Department of Physiology and Pharmacology, “Sapienza”, University of Rome, since the 1998 Nagano Winter Paralympic Games [12].
This program is implemented in 2 days of functional, clinical, instrumental, and laboratory evaluations, which is called the Paralympic visit [12]. It is an integral part of the process required by CIP and CONI and pursuant to italian law to assess a risk-free sport eligibility before the highest level of competitive sport [13]. This assessment includes both an accurate cardiovascular screening [39] and a comprehensive fitness evaluation [37]. The Institute of Sports Medicine and Science, division of CONI, is responsible for the elite Italian athletes, from which participants to either Olympic or Paralympic Games are selected. A complete evaluation of the presence of modifiable ACVD risk factors and measurement of aerobic fitness was possible in a retrospective way in paralympic athletes of our series.
Each athlete’s “Paralympic Visit” consists of several clinical and functional evaluations performed over a 2-day period. These include: blood and urine laboratory examinations; general clinical and cardiovascular examination including blood pressure (BP) measurement; anthropometry and body composition evaluation including skin-fold measurements; classification evaluation to assess impairment and level of lesion [https://​www.​paralympic.​org\]; a nutritional evaluation to assess energy intake and percentage of macronutrient distribution through a 24 h diet recall interview; cardiologic visit, basal ECG and echo-color cardiac Doppler, graded continuous arm cranking ergometer, maximal cardiopulmonary integrated exercise test (which includes ECG) to assess possible cardiovascular disorders [39] and to assess VO2peak [37]; orthopedic visit; otolaryngology visit; neurological visit; psycho-diagnostic and sport related psychological evaluation; pulmonary evaluation with spirometry; ophthalmological visit. Through the cardiopulmonary integrated exercise test, aerobic fitness is evaluated, measuring not only VO2peak but also ventilatory threshold and respiratory compensation point [41] (if necessary should are also effectuated: muscle–tendon ultrasounds and radiography, nutritional prescription; internist hepatological and infective evaluations; cardiologic therapies, Holter ECG, and ambulatory blood pressure monitoring). During the afternoon of the first day of the paralympic visit and during the second day upper and lower limb strength, explosive power and anaerobic capacity were also evaluated [42], using functional tests with ergometer specific to each sport discipline (e.g., treadmill for standing runners, rowing ergometers for rowers, and cycle ergometer for cyclists).
For the purpose of the present study, all paralympic athletes were screened through anthropometry, BP measurements, and blood tests. In accordance with the Declaration of Helsinki, each athlete had provided written informed consent for participation. Only male subjects were enrolled, with the aim of evaluating a more homogeneous population, avoiding female subjects who may differ in cardiovascular risk due to hormonal status and generally have lower VO2peak values than male subjects.
The presence of cardiovascular risk factors that could be modified by physical activity and aerobic fitness was established defining an ACVD-risk factors score by adding 1 point for each positive factor and subtracting 1 point when serum high-density lipoprotein cholesterol (HDL-C) was higher than 60 mg dl−1. These risk factors were evaluated: hypertension, dyslipidemia, impaired fasting glucose, and obesity.
Blood pressure (BP) was measured with a properly calibrated and validated sphygmomanometer in a secluded room. Athletes sat quietly in a chair for at least 5 min. At least three measurements were taken with the arm supported at heart level. Criteria for hypertension were: systolic blood pressure (SBP) ≥ 140 mmHg and/or diastolic blood pressure (DBP) ≥ 90 mmHg [42] in all measurements, and confirmed by 24 h ambulatory monitoring.
Laboratory blood tests included glucose, total cholesterol (C), low-density lipoprotein cholesterol (LDL-C), and HDL-C. A 15 ml venous blood sample was drawn from the antecubital vein after a 12 h-long fasting period. Samples were analyzed using automated colorimetric and fluorimetric methods. Dyslipidemia criteria were: HDL-cholesterol ≤ 40 mg·dl−1 or LDL-C ≥ 130 mg dl−1 or total C ≥ 200 mg dl−1. A fasting plasma glucose concentration ≥ 126 mg dl−1 was considered diagnostic of diabetes mellitus; a glucose concentration ranging from 100 to 125 mg dl−1 was classified as impaired fasting glucose.
Body mass and height were measured using standard equipment and were used to determinate body mass index (BMI). Individuals were classified as obese if their BMI was ≥ 30 kg/m2 [43] or if their waist circumference was ≥ 102 cm. Waist circumference measurements were taken with a flexible yet inelastic tape measure placed on the skin surface at umbilicus level without compressing the subcutaneous adipose tissue with the subject standing (if possible) or sitting on the examination table, arms at the sides, feet together, and abdomen relaxed.
Based on the presence of ACVD-risk factors, paralympic athletes were subdivided in 4 groups: group 1 with no ACVD-risk factors, group 2 with light–moderate ACVD-risk (1 risk factor), group 3 with moderate–high ACVD risk (2 risk factors); group 4 with very high ACVD risk (> 2 risk factors).
To measure VO2peak, while assessing the exercise ECG, each paralympic athlete was submitted to an incremental, continuous, multistage exercise test, protracted to volitional exhaustion carried through an arm cranking ergometer (ER800Sh, Cosmed Italy), monitoring through a breath by breath analyser (Quark CPET, Cosmed, Rome, Italy): pulmonary ventilation, oxygen uptake, carbon dioxide production, and heart rate [12, 37]. The test consisted of a 3 min warm-up phase carried out in a ramp fashion to reach a power ranging between 30 and 50 watts (W), followed by a ramp exercise phase with increments of 10 or 15 W every minute. The power increments in both warm-up and exercise phases depended on the level of lesion, the practiced sport, and the estimated aerobic fitness of the Paralympic athletes. The selection of the different power increments was aimed at allowing a 10 min-long exercise phase [35]. Three criteria were used to assess the achieving of VO2peak, i.e. the cardiopulmonary exercise test end points: (1) a levelling off or a decline in the VO2 with increasing power output, (2) HR equivalent to at least 95% of the age predicted maximum (220—age, years), and (3) respiratory exchange ratio (RER) ≥ 1.10. Two of these three criteria had to be met. After the test, a lactic acid value > 8 mmol/l confirmed that peakVO2 was attained.
Anthropometric measurements and data from blood tests and cardiopulmonary exercise tests from the pre-participation screenings carried out in individuals with locomotor impairment (spinal cord injury or other health conditions) before the 2008 Beijing Summer Paralympic Games and 2010 Vancouver Winter Paralympic Games were analyzed retrospectively for the present study.

Data analysis

Descriptive analyses were used to illustrate the characteristics of the sample. The discrete and nominal variables were described through frequencies and percentages and the difference between subgroups was assessed with the Chi-square test. The quantitative variables were expressed in terms of mean and standard deviation (sd), whose significance was assessed with a t test for independent samples. The differences between type of sports and ACDV risk factor groups were assessed with one-way ANOVA test and post hoc analysis was assessed with Bonferroni test. A p value of < 0.05 was the criterion for statistical significance. The data were processed using the STATA/IC15.0 statistical package.

Results

The database included a total of 68 male Paralympic athletes (age 37.5 ± 8.9 years, body mass 73.5 ± 15.5 kg and height 1.76 ± 0.086 m) with different health conditions: 35 (51.5%) had a SCI (paraplegia), 19 (27.9%) had a lower limb amputation, 4 (5.9%) had a lower limb cerebral palsy, 3 (4.4%) had lower limb poliomyelitis sequelae, and 7 (10.3%) had a locomotor impairment deriving from other neurological or orthopedic disorders (“Les Autres”—the others). Table 1 shows age, anthropometric characteristics, and aerobic fitness of the sample divided by health condition (SCI or other disorders). Significant differences were found in the two health conditions groups for VO2peak in absolute and relative values.
Table 1
Age, anthropometrical variables, and aerobic fitness of the athletes divided by health condition
 
Total
n (%)
68 (100)
SCI
n (%)
35 (51.5)
Other health conditions
n (%)
33 (48.5)
p value
Age (years)
37.5 ± 8.9
37.2 ± 8.0
37.8 ± 9.9
0.75
Body mass (kg)
73.5 ± 15.5
74.1 ± 18.9
73.0 ± 10.9
0.77
Height (m)
1.76 ± 0.09
1.77 ± 0.09
1.76 ± 0.08
0.38
BMI (kg/m2)
23.2 ± 4.9
23.6 ± 5.1
22.8 ± 4.9
0.92
VO2peak absolute value (ml min−1)
2203 ± 582
2015 ± 556
2400 ± 549
0.005*
VO2peak relative value (ml kg−1 min−1)
31.0 ± 9.7
28.6 ± 10.0
33.6 ± 8.9
0.03*
p value using independent t test
SCI spinal cord injury, Other Health Conditions lower limb amputation, poliomyelitis, cerebral palsy, and Les Autres, VO2peak oxygen uptake peak
*Statistically significant differences (p value < 0.05)
The types of sport were divided in the following 4 groups as previously reported [39] and on the basis of both biomechanical [37, 44] and energy expenditure studies [36, 37, 45]: skill sports, power sports, mixed sports, meaning intermittent sports with aerobic and anaerobic alternated metabolism, and endurance sports. Paralympic athletes competing in skill sports included sailors, shooters, table tennis players, curlers, and those competing in archery and in equestrians. Paralympic athletes competing in power sports included: alpine skiers and those competing in field events (throwing sports, long jump, and short distance track events). Paralympic athletes competing in mixed sports included fencers, wheelchair tennis players, and those competing in ice sledge hockey. Paralympic athletes competing in endurance sports included swimmers, hand-cyclists, nordic skiers, and those competing in long-distance track events. Among the paralympic athletes with SCI and those with other Health Conditions, 14 and 8 competed in skill sports, 5 and 7 in power sports, 7 and 13 in mixed sports, and 9 and 5 in endurance sports, respectively.
Table 2 shows the characteristics of the paralympic athletes on the basis on of the practiced sport. Age and BMI were significantly different only between paralympic athletes competing in skill sports and endurance sports, while there were relevant differences in VO2peak between all groups: paralympic athletes competing in skill sports showed significantly lower VO2peak values vs all the other sport groups as well as paralympic athletes competing in endurance sports showed significantly higher VO2peak values vs all the other sport groups. Indeed, paralympic athletes competing in endurance sports displayed the highest VO2peak values, almost the double of those of paralympic athletes competing in skill sports.
Table 2
Age, anthropometrical variables and aerobic fitness of the athletes divided by type of sport
 
Skill sports (1)
n (%)
22 (32.4)
Power sports (2)
n (%)
12 (17.6)
Mixed sports (3)
n (%)
20 (29.4)
Endurance sports (4)
n (%)
14 (20.6)
p value
Age (years)
41.9 ± 7.8
36.5 ± 7.7
37.6 ± 8.3
31.2 ± 9.3
0.003*
Body mass (kg)
77.6 ± 20.0
74.5 ± 17.0
73.7 ± 9.7
66.1 ± 10.8
0.193
Height (m)
1.75 ± 0.11
1.78 ± 0.08
1.78 ± 0.06
1.76 ± 0.08
0.627
BMI (kg/m2)
25.4 ± 5.2
23.3 ± 4.0
22.2 ± 5.7
21.2 ± 2.7
0.026*
VO2peak absolute value (ml min−1)
1667 ± 282
2267 ± 475
2401 ± 460
2706 ± 545
 < 0.001*
VO2peak relative value (ml kg−1 min−1)
22.5 ± 5.7
31.7 ± 8.8
32.6 ± 4.3
41.7 ± 9.6
 < 0.001*
 
Post hoc analysis
 
1 vs 2
1 vs 3
1 vs 4
2 vs 4
3 vs 4
Age
0.442
0.528
0.002
0.612
1.00
BMI (kg/m2)
0.901
0.620
0.017*
1.00
0.710
VO2peak absolute value (ml min−1)
0.002*
 < 0.001*
 < 0.001*
0.289
0.289
VO2peak relative value (ml kg−1 min−1)
0.003*
 < 0.001*
 < 0.001*
0.003*
0.002*
One-way ANOVA test (post hoc tests using Bonferroni’s correction)
*p value < 0.05
Tables 3 and 4 show for each ACVD-risk factors the mean value and the standard deviation in the whole sample and dividing it by different health conditions and by the four types of sport. No difference was found between paralympic athletes with SCI vs those with other Health Conditions, while, based on post hoc analysis, fasting blood glucose and abdomen circumference showed higher values in the Paralympic athletes competing in skill sports, vs power sports and mixed sports, respectively.
Table 3
Value of risk factors of the athletes divided by health condition
 
Total
n (%)
68 (100)
SCI
n (%)
35 (51.5)
Other health conditions
n (%)
33 (48.5)
p value
SBP (mmHg)
126.5 ± 9.9
127.3 ± 9.5
125.8 ± 10.4
0.52
DBP (mmHg)
80.8 ± 6.8
80.6 ± 6.0
81.1 ± 7.6
0.76
TOTAL COL (mg/dl)
205.9 ± 44.3
207.9 ± 43.1
203.9 ± 46.0
0.72
HDL COL (mg/dl)
50.9 ± 14.5
49.8 ± 13.9
52.0 ± 15.3
0.54
LDL COL (mg/dl)
131.5 ± 37.8
132.0 ± 36.6
130.9 ± 39.4
0.90
Fasting blood glucose (mg/dl)
95.7 ± 9.6
96.3 ± 11.8
94.9 ± 6.9
0.55
Abdomen circ (cm)
93.1 ± 17.1
95.5 ± 20.1
90.8 ± 13.5
0.27
p value using independent t test
Table 4
Value of risk factors of the athletes divided by type of sport
 
Skill sports (1)
n (%)
22 (32.4)
Power sports (2)
n (%)
12 (17.6)
Mixed sports (3)
n (%)
20 (29.4)
Endurance sports (4)
n (%)
14 (20.6)
p value
SBP (mmHg)
126.4 ± 8.4
126.7 ± 11.3
127.2 ± 10.9
125.7 ± 10.7
0.977
DBP (mmHg)
81.4 ± 6.4
83.3 ± 6.8
79.2 ± 8.3
80.0 ± 4.4
0.388
HDL COL (mg/dl)
48.9 ± 19.0
51.4 ± 12.6
48.6 ± 10.9
56.9 ± 11.7
0.353
LDL COL (mg/dl)
139.2 ± 36.4
118.1 ± 40.3
138.8 ± 40.6
119.9 ± 31.3
0.256
Fasting blood glucose (mg/dl)
100.9 ± 11.9
88.1 ± 7.4
95.6 ± 5.7
93.5 ± 7.3
0.001*
Abdomen circ (cm)
101.9 ± 21.7
89.6 ± 16.1
94.1 ± 12.3
82.4 ± 7.4
0.007*
 
Post hoc analysis
1 vs 2
1 vs 3
1 vs 4
2 vs 4
3 vs 4
Fasting blood glucose (mg/dl)
0.001*
0.340
0.101
0.787
1.00
Abdomen circ (cm)
0.226
0.760
0.005*
1.00
0.245
One-way ANOVA test (post hoc tests using Bonferroni’s correction)
*p value < 0.05
As shown in Tables 5 and 6, we also evaluated the prevalence of each ACVD-risk factors in the whole population dividing it by different health conditions and by the four types of sport. No difference was found between paralympic athletes with SCI vs those with other Health Conditions, while, considering the type of sport, only obesity showed a different prevalence, higher in skill and power sports (77.3% and 91.7%, respectively) and absent in mixed and endurance sports.
Table 5
Prevalence of ACVD risk factors in the whole sample of paralympic athletes and in the subgroups divided by health condition
ACVD-risk factors
Total
n (%)
68 (100)
SCI
n (%)
35 (51.5)
Other health conditions
n (%)
33 (48.5)
p value
Hypertension
   
0.469
Absent
54 (79.4)
29 (82.9)
25 (75.8)
 
Present
14 (20.6)
6 (17.1)
8 (24.2)
 
High total cholesterol
   
0.797
Absent
36 (53.0)
18 (51.4)
18 (54.5)
 
Present
32 (47.0)
17 (48.6)
15 (45.5)
 
High LDL cholesterol
   
0.829
Absent
30 (44.1)
15 (42.9)
15 (45.5)
 
Present
38 (55.9)
20 (57.1)
18 (54.5)
 
Low HDL-cholesterol
   
0.250
Absent
47 (69.1)
22 (62.9)
25 (75.8)
 
Present
21 (30.9)
13 (37.1)
8 (24.2)
 
Reduced glucose tolerance (impaired fasting glucose)
   
0.870
Absent
53 (77.9)
27 (77.1)
26 (78.8)
 
Present
15 (22.1)
8 (22.8)
7 (21.2)
 
Obesity
   
0.102
Absent
62 (91.2)
30 (85.7)
32 (97.0)
 
Present
6 (8.8)
5 (14.3)
1 (3.0)
 
p value using Chi-square or Fisher’s test
Table 6
Prevalence of ACVD risk factors in paralympic athletes divided by type of sport
ACVD risk factors
Skill sports (1)
n (%)
22 (32.4)
Power sports (2)
n (%)
12 (17.6)
Mixed sports (3)
n (%)
20 (29.4)
Endurance sports (4)
n (%)
14 (20.6)
p value
Hypertension
    
0.574
Absent
17 (77.3)
9 (75.0)
15 (75.0)
13 (92.9)
 
Present
5 (22.7)
3 (25.0)
5 (25.0)
1 (7.1)
 
High total cholesterol
    
0.183
Absent
9 (40.9)
9 (75.0)
9 (45.0)
9 (64.3)
 
Present
13 (59.1)
3 (25.0)
11 (55.0)
5 (35.7)
 
High LDL cholesterol
    
0.057
Absent
6 (27.3)
9 (75.0)
8 (40.0)
7 (50.0)
 
Present
16 (72.7)
3 (25.0)
12 (60.0)
7 (50.0)
 
High HDL-cholesterol
    
0.352
Absent
13 (59.1)
9 (75.0)
15 (75.0)
12 (85.7)
 
Present
9 (40.9)
3 (25.0)
5 (25.0)
2 (14.3)
 
Reduced glucose tolerance (impaired fasting glucose)
    
0.086
Absent
14 (63.6)
12 (100.0)
15 (75.0)
12 (85.7)
 
Present
8 (36.4)
0 (0.0)
5 (25.0)
2 (14.3)
 
Obesity
    
0.035*
Absent
17 (77.3)
11 (91.7)
20 (100.0)
14 (100.0)
 
Present
5 (22.7)
1 (8.3)
0 (0.0)
0 (0.0)
 
p value using Chi-square or Fisher’s test (*p value < 0.05)
Finally, based on the number of ACVD risk factors found in each paralympic athlete, four groups were identified by calculating the ACVD-risk factor score, as described in the Methods section: group 1 (score ≤ 0, N = 23), group 2 (score = 1, N = 26), group 3 (score = 2, N = 10), and group 4 (score > 2, N = 9). Table 7 shows the pertinent characteristics of the four aforementioned groups: the paralympic athletes with higher score (group 4) were older and showed a higher BMI, while the paralympic athletes with a favorable score (group 1 and 2) showed a better aerobic fitness rather than the other groups.
Table 7
Age, anthropometrical characteristics, and aerobic fitness of the athletes divided by the four groups of ACVD-risk factor score
 
ACVD-risk factor groups
p value
 
Score ≤ 0
(group 1)
n = 23
Score = 1
(group 2)
n = 26
Score = 2 (group 3)
n = 10
Score > 2
(group 4)
n = 9
Age (years)
35.2 ± 8.5
36.6 ± 9.6
37.6 ± 5.7
45 ± 7.3
0.0027*
Body mass (kg)
66.2 ± 10.3
74.5 ± 12.84
79.6 ± 12.4
93.3 ± 20.24
 < 0.001*
Height (m)
1.8 ± 0.09
1.7 ± 0.19
1.8 ± 0.09
1.8 ± 0.08
0.185
BMI (kg/m2)
21.0 ± 2.71
26.5 ± 14.81
25.4 ± 3.38
29.3 ± 4.14
 < 0.001*
VO2peak, absolute value (ml min−1)
2346 ± 665
2287 ± 556
1985 ± 440
1785 ± 400
0.072
VO2peak, relative value (ml kg−1 min−1)
36.4 ± 8.76
31.6 ± 8.55
27.1 ± 5.50
19.09 ± 5.34
 < 0.001*
 
Post hoc analysis
 
Group 1 vs 2
Group 1 vs 3
Group 1 vs 4
Group 2 vs 3
Group 2 vs 4
Group 3 vs 4
Age
1.00
0.07
0.006*
0.385
0.041*
1.00
Body mass
0.108
0.518
 < 0.000*
1.00
 < 0.001*
 < 0.001*
BMI
0.013*
0.003*
 < 0.000*
1.00
 < 0.000*
0.003*
VO2peak, relative value
0.307
0.032*
 < 0.000*
0.977
0.002*
0.261
One-way ANOVA test (post hoc analysis using Bonferroni’s correction)
*p < 0.05

Discussion

The present study shows that paralympic athletes with locomotor impairment characterized by high aerobic fitness levels (VO2peak 42 ± 9.6 ml kg−1 min−1) and competing in endurance sport have a better ACVD-risk profile, in particular lower fasting blood glucose and abdomen circumference (even if dietary habits are not reported in this study), than paralympic athletes with locomotor impairment competing in other kinds of sports. Paralympic athletes with locomotor impairment competing in skill sports, on the other hand, are characterized by low levels of aerobic fitness (VO2peak 22 ± 5.7 ml kg−1 min−1) and have higher fasting blood glucose and greater abdomen circumference. Indeed, dividing the population of the present study in four groups of ACVD-risk factors, paralympic athletes without ACVD-risk factors displayed the highest VO2peak values (VO2peak 36 ± 8.8 ml kg−1 min−1), while paralympic athletes with the highest ACVD- risk factors score show the lowest levels of VO2peak (19 ± 5.3 ml kg−1 min−1). High-level physical activity, therefore, seems to reduce the incidence of risk factors for ACVD, both in subjects with SCI and with other Health Conditions.
Numerous literature data show that individuals with SCI have a higher risk for ACVD, due to several mechanisms: (1) blood pressure abnormalities [46, 47] caused by the compromised sympathetic nervous system response below the level of injury (chronically low arterial blood pressure at rest and orthostatic hypotension, and autonomic dysreflexia); (2) physical inactivity and obesity (increase in fat mass together with sarcopenia) [10]. Indeed, the alterations of both the motor and the autonomic sympathetic nervous system, the physical inactivity, and the forced sedentariness consequent to the lesion predispose the SCI patients to an excessive abdominal obesity [10]; (3) oxidative stress [16] and low-grade chronic systemic inflammation, also determined by the attenuation of the lipolysis resulting from the reduced sympathetic stimulation and the increased macrophage infiltration of the lipid tissue [17] with elevated plasma C-reactive protein concentration; (4) increased prevalence of smoking [48]; (5) dyslipidemia, insulin resistance, and type 2 diabetes [3, 9, 10].
Furthermore, clinical manifestations, i.e., deep vein thrombosis, thrombo-embolic events, rhythm disturbances (bradycardia, A–V block and cardiac arrest, particularly in the acute phase), reduced heart rate variability [49], blunted cardiovascular response to exercise [10, 30], and premature death [14] have been detected in individuals with SCI.
Sport practice may interrupt the hypotrophy–sedentary habit–further hypotrophy vicious cycle and is considered the best way for improving physical fitness in individuals with locomotor impairment [30, 31], preventing harmful habits such as alcoholism, smoking use, drug addiction, and excessive food consumption, thus reducing the risk of cardiovascular diseases [15]. Furthermore, several studies demonstrated important increases in VO2peak after arm cranking ergometry, wheelchair ergometry, and swimming conditioning program training [10], evidence that even people with SCI can obtain health and mental benefits. However, evidence-based scientific guidelines for specific population, for example for individuals with SCI, should be followed, to improve fitness and cardiac and metabolic health, with appropriate frequencies, intensities, types, and duration of exercise, and, therefore, training volumes.
However, a high prevalence of ACVD-risk factors was even found both in a group of brazilian paralympic athletes (67 with physical and 12 with visual impairment), including 11 with SCI, 6 with lower limb deficiency, 27 with poliomyelitis sequelae, and 21 with cerebral palsy [33], and in 50 elite italian paralympic athletes competing in summer and winter games including athletes with SCI, lower limb amputation (n = 15), and upper limb impairments (n = 10) [34]. Also in the present study, the prevalence of ACVD-risk factors was considerably high, having about 2/3 of the sample at least 1 ACVD-risk factor, while 28% had 2 or more ACVD- risk factors, confirming that the prevalence of modifiable ACVD-risk factor in paralympic athletes with locomotor impairment is relevant, as already stated [33, 34]. The comparison between paralympic athletes with SCI and those with other Health Conditions did not find any significant difference in both absolute values and prevalence of the modifiable ACVD-risk factors. The two groups, however, in spite of the same age and anthropometric characteristics, showed significant difference in aerobic fitness. Paralympic athletes with SCI displayed a VO2peak equal to 29 ± 10.0 ml kg−1 min−1, while paralympic athletes with other Health Conditions displayed a VO2peak equal to 34 ± 8.9 ml kg−1 min−1. This difference could be only due to the sport participation (40% of paralympic athletes with SCI practiced skill sports vs 24.4% of paralympic athletes with other Health Conditions), being clear from the literature that there is a significant impact of the practiced sport on the aerobic fitness [35, 37].
The present study, however, adds to the scientific literature the concept, not yet proven in this specific population, that having a high level of aerobic fitness seems protective against the ACVD risk. Indeed, 39% of the paralympic athletes with locomotor impairment of the present study did not have any ACVD-risk factor and their VO2peak was significantly higher than the other paralympic athletes with locomotor impairment.
Therefore, our results show a link between aerobic fitness, which is closely related to the type of practiced sport [37], and the cardiovascular risk profile. In fact, paralympic athletes practicing skill sports have significantly lower relative and absolute values of VO2peak and higher BMI, fasting blood glucose, and abdomen circumferences rather than paralympic athletes practicing the other sports (Tables 2, 5, 6). Furthermore, paralympic athletes with very high-risk profile (Group 4) prevalently practice skill sports, characterized by a low energy expenditure (i.e., curling, table tennis, shooting, and archery), and show VO2peak values significantly lower than those of paralympic athletes of the other three groups (Table 7). On the other hand, paralympic athletes included in Group 1 (no risk factor) have the highest VO2peak values and mainly compete in endurance sports, such as long-distance wheelchair racing, nordic skiing, hand-bike, or sports with massive components of aerobic and lactic anaerobic metabolisms such as swimming and rowing, here included among the endurance sports. The VO2peak is, therefore, inversely related to the atherosclerotic cardiovascular risk score in paralympic athletes with locomotor impairment, suggesting that aerobic fitness may provide a protective effect against cardiovascular disease. A comparison between our results and those found in healthy able-bodied individuals shows an interesting observation: the average VO2peak values in able-bodied individuals without ACVD-risk factors vary from 35 to 38 ml kg−1 min−1 [20, 23, 24] and are similar to those found in our athletes with locomotor impairment and no cardiovascular risk (36 ± 9 ml kg−1 min−1). Therefore, it could be deduced that the same aerobic fitness reference values include individuals without cardiovascular risk factors.
Recently Nightingale et al. [28] observed that, in untrained individuals with SCI, ACVD-risk factors are associated more with body composition (higher body fat content) rather than physical activity, evaluated by VO2peak as expression of a significant moderate-to-vigorous physical activity (> 140 min/week). The Authors stress that energy intake is more important than energy expenditure in the regulation of a healthy energy balance. Although we did not evaluate energy intake (nutrition) in our study, its relevance could be confirmed by the high prevalence of dyslipidemia. We agree that in a comprehensive physical fitness [50] and health [51] evaluation, nutrition (micro and macronutrient intake) should be accurately prescribed [52] and specific advice should be provided to the athletes to improve their dietary habit [51]. However, the lack of positive effects of physical activity on cardiovascular risk profile, observed by Nightingale et al. [28] and in other reports [29, 53], is probably due to the lower aerobic fitness. In fact, among our individuals, who were paralympic athletes (while Nightingale and coauthors evaluated untrained individuals), those without ACVD risk had VO2peak values (36.4 ± 8.76 ml kg−1 min−1) much higher than the individuals evaluated by Nightingale et al. (19.8 ± 6.4 ml kg−1 min−1), who showed VO2peak similar to our paralympic athletes with very high ACVD risk (19.1 ± 5.34 ml kg−1 min−1). Therefore, it can be considered that a high level of aerobic fitness is necessary to affect the ACVD-risk profile in individuals with locomotor impairment.
Other studies confirm this consideration. Noreau and Shephard [54] have identified specific benchmarks regarding VO2peak to demonstrate the effects of exercise on aerobic fitness. In sedentary or moderately active individuals suffering from paraplegia, the VO2peak values fluctuate between 20 and 25 ml kg−1 min−1, while in a group of individuals composed for the most part by wheelchair athletes, these values were approximately 35 ml kg−1 min−1. Within the group of individuals with SCI at the thoracic and lumbar level not practicing physical activities, the Authors found an extreme variability as regards the values of VO2peak. In this group, about 25% of the total of the subjects showed VO2peak values less than or equal to 15 ml kg−1 min−1. Hjeltnes and Janssen [55] found that only 29% of the population with a VO2peak lower than or equal to 15 ml kg−1 min−1 was able to independently perform activities of daily life. The percentage of individuals independent in the activities of daily life reached the total sample (100%) in the population with VO2peak values higher than 25 ml kg−1 min−1. In conclusion, the paralympic athletes competing in skill and power Sports can be considered, in term of aerobic fitness, as the untrained individuals with high levels of moderate-to-vigorous physical activity (140 min/week), observed by Nightingale et al. [28], and they probably have a better risk profile than sedentary subjects, but significantly worse than the paralympic athletes competing in endurance sports, in whom the high aerobic fitness is associated with a lower ACVD-risk profile.

Limitations

The study has some limitations. First of all, the cross-sectional design does not allow conclusions on the causative protective role of aerobic fitness against cardiovascular risk and a prospective evaluation through Randomized Clinical Trials needs to confirm this hypothesis. Second, the limited number of paralympic athletes recruited does not allow inferences on the protective role of the practiced sports. Third, classifying obesity with BMI and waist circumference, which are surrogates of body composition, is not standardized in non-ambulatory individuals, and particularly in paralympic athletes. However, at our best knowledge, assessment of overweight and obesity through standard evaluations, such as skin-fold measurements, is lacking for paralympic athlete population.
Finally, data on daily energy balance, i.e., dietary intake and energy expenditure through physical activity, were collected but not processed and reported in this study; therefore, the impact of this variable on cardiovascular risk profile was not evaluated.

Conclusions

Our results suggest that aerobic fitness could play a crucial role in reducing the cardiovascular risk profile in subjects with locomotor impairment, along with dietary factors as demonstrated by other authors [28]. In fact, obesity and dyslipidemia/hyperglycemia are more frequent in the power or skill-based athletes than the other groups. They have an average VO2peak as high as untrained individuals with high levels of moderate-to-vigorous physical activity, evaluated by other Authors [28], and such a level of fitness is probably not enough to reduce cardiovascular risk in both situations. Actually, our results suggest the need for high-level aerobic fitness, with high VO2peak values (similar to those obtained in able-bodied persons [20, 23, 24]), which, in our series, are only achieved by endurance athletes. Sports performed at high intensities and which determine high-energy expenditures [35] improve the aerobic fitness [37] based on improvement of both the peripheral extraction of oxygen and, also in athletes with SCI, the cardio-circulatory function [56]. Therefore, these sports seem able to counteract the ACVD-risk profile and potentially reduce the risk of diabetes, heart attack, and stroke. The practice of these sports, but also that of intermittent sports, in which exercise intensity ranges around 70% of the VO2peak [35], should be able to offer a protection against atherosclerotic disease in individuals with locomotor impairment. The prescription of physical exercise at the appropriate intensities and the encouragement to carry out sports activities with specific metabolic characteristics must become a fundamental medical practice that Exercise Scientists and Sports Medicine Physician should follow, as suggested by some authors [57, 58]. In this way, at the light of a previous accurate health assessment [12, 39], Exercise and Sport Sciences will become a way to promote health among people with a locomotor impairment [18, 59].

Compliance with ethical standards

Conflict of interest

Marco Bernardi: no conflict of interest. Silvio Romano: no conflict of interest. Maria Rosaria Squeo: no conflict of interest. Emanuele Guerra: no conflict of interest. Paolo Emilio Adami: no conflict of interest. Federica Alviti: no conflict of interest Antonella Mattei: no conflict of interest. Loretta Corsi: no conflict of interest. Riccardo Lanzano: no conflict of interest. Pietro Giacomo Curatulo: no conflict of interest. Dimitri Mandolesi: no conflict of interest. Fabiana Parisi: no conflict of interest. Barbara Di Giacinto: no conflict of interest. Donatella Dante: no conflict of interest. Claudio Marini: no conflict of interest. Evgeny Mashkovskiy: no conflict of interest. Francisco Javier Ordonez: no conflict of interest. Antonio Spataro: no conflict of interest.
Informed consent was obtained from all individual participants included in the study.

Ethical approval

All procedures performed in this study were in accordance with the ethical standards of the institutional and/or national research committee (Ethics Committee of the Italian National Olympic Committee) and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.
Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​.

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Metadaten
Titel
Aerobic fitness is a potential crucial factor in protecting paralympic athletes with locomotor impairments from atherosclerotic cardiovascular risk
verfasst von
Marco Bernardi
Silvio Romano
Maria Rosaria Squeo
Emanuele Guerra
Paolo Emilio Adami
Federica Alviti
Antonella Mattei
Loretta Corsi
Riccardo Lanzano
Pietro Giacomo Curatulo
Dimitri Mandolesi
Fabiana Parisi
Barbara Di Giacinto
Donatella Dante
Claudio Marini
Evgeny Mashkovskiy
Francisco Javier Ordonez
Antonio Spataro
Publikationsdatum
24.12.2020
Verlag
Springer Milan
Erschienen in
Sport Sciences for Health / Ausgabe 2/2021
Print ISSN: 1824-7490
Elektronische ISSN: 1825-1234
DOI
https://doi.org/10.1007/s11332-020-00698-4

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