Two hundred and thirty elite marathon runners were invited to take part in this cross sectional study. The athletes were recruited from elite Brazilian marathon and half-marathon runners who competed during the 2011. The inclusion criteria were: age between 20 and 50 years, and completion of a marathon in the past 18 months under a time of 2 hr:35 min:00 sec for men and 3 hr:00 min:00 sec for women, or a half-marathon time below 1 hr:23 min:00 sec for men and 1 hr:35 min:00 sec for women; this criteria was adopted to ensure that we recruited completive endurance runners. All of the athletes who agreed to participate in the present study gave written informed consent prior to enrollment in the study. The clinical protocol was approved by the local human research ethics committee.
The data were analyzed using the Sigma Stat 3.5 statistical package (Chicago, IL). The Kolmogorov-Smirnov test was used to verify the normality of the data, and Levene’s test was used to test for homogeneity of variance between groups. The Student’s t-test and the Chi-squared test were used to compare continuous and categorical data between groups (AQUA + and AQUA- athletes), and difference between genders. The data are expressed as the median (non-parametric) or mean (parametric) with a 95% confidence interval (95% CI). The level of significance was set at p ≤ 0.05.
Characteristic of athletes’ training, experience and performance
Characteristics
All athletes
Male
Female
(n = 201)
(n = 165)
(n = 36)
Training sessions (n/week)
6.7 (6–7)
6.7 (6–7)
6.8 (6–7)
Running distance (km/week)
180 (140–220)
180 (150–220)
160 (120–217)
Running experience (years)
11 (4–30)
11 (3–30)
11.5 (4–26)
Performance time in 21 km (min)
70 (62–87)
68 (62–80)
79 (73–91)
Performance time in 42 km (min)
148 (132–170)
143 (132–155)
160 (137–176)
Legend: data are presented as mean and 95% confidence interval (in parenthesis); min = minutes, km = kilometers.
Characteristic of athletes’ training, experience and performanceLegend: data are presented as mean and 95% confidence interval (in parenthesis); min = minutes, km = kilometers.There was no significant difference between groups (p > 0.05) (AQUA + vs. AQUA-) in terms of gender, age, running experience, weekly training volume, and best performance time for the half-marathon and marathon (Table 2). Of the 201 athletes analyzed, 122 of the athletes (60.7%) presented an AQUA + score ≥5), while 79 of the athletes (39.3%) presented an AQUA- score <5.
Table 2
Anthropometric and training data between AQUA + and AQUA- athletes
AQUA+
AQUA-
P = value
(n = 122)
(n = 79)
Gender (F/M)
26/96
10/69
NS
Age (years)
33 (22.0-48.4)
34 (23.4-49.0)
NS
Running experience (years)
12.0 (4.0-28.2)
10.0 (3.0-29.5)
NS
Running distance (km/week)
180.0 (140.0-220.0)
180.0 (140.0-234.0)
NS
Performance time in 21 km (min)
70.0 (63.0-88.0)
70.0 (62.9-84.0)
NS
Performance time in 42 km (min)
149 (132–168)
149 (134–168)
NS
Legend: data are presented as mean and 95% confidence interval (in parenthesis), except for gender expressed in absolute number. F = female, M = male, min = minutes, km/week = kilometers per week; NS = non-significant.
Anthropometric and training data between AQUA + and AQUA- athletesLegend: data are presented as mean and 95% confidence interval (in parenthesis), except for gender expressed in absolute number. F = female, M = male, min = minutes, km/week = kilometers per week; NS = non-significant.Among the AQUA + athletes, 33 (25%) athletes reported having only one allergic symptom, while 36 (30%) had two, and 55 (45%) had three or more. Fifty-six (46%) of the AQUA + athletes reported having physician-diagnosed allergy, 74 (60.7%) were suspected of suffering from allergy, and 46 (37.7%) reported using, or had used, anti-allergy drugs. The proportion of positive answers for the most frequent questions is shown in Figure 1.
Figure 1
Frequency of the most reported AQUA
questions in athletes with AQUA+ score.
Frequency of the most reported AQUA
questions in athletes with AQUA+ score.
The authors declare that they have no competing interests.
Authors’ contributions
RNT have made substantial contributions to the acquisition of data, design of the study and draft of the manuscript. FARM performed the statistical analysis and helped to the draft manuscript. MAM made contributions to conception and design of the study and helped to draft the manuscript. TDM was involved in revising the manuscript for intellectual content. CRFC participated in the study design and coordination and helped to draft the manuscript. All authors read and approved the final manuscript.
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