scholarly journals Detection of Upper Limb Asymmetries in Athletes According to the Stage of the Season—A Longitudinal Study

Author(s):  
Álvaro Velarde-Sotres ◽  
Antonio Bores-Cerezal ◽  
Marcos Mecías-Calvo ◽  
Martín Barcala-Furelos ◽  
Silvia Aparicio-Obregón ◽  
...  

Sports injuries can affect the performance of athletes. For this reason, functional tests are used for injury assessment and prevention, analyzing physical or physiological imbalances and detecting asymmetries. The main aim of this study was to detect the asymmetries in the upper limbs (right and left arms) in athletes, using the OctoBalance Test (OB), depending on the stage of the season. Two hundred and fifty-two participants (age: 23.33 ± 8.96 years old; height: 178.63 ± 11.12 cm; body mass: 80.28 ± 17.61 kg; body mass index: 24.88 ± 4.58; sports experience: 12.52 ± 6.28 years), practicing different sports (rugby, athletics, football, swimming, handball, triathlon, basketball, hockey, badminton and volleyball), assessed with the OB in medial, superolateral, and inferolateral directions in both arms, in four moments of the season (May 2017, September 2017, February 2018 and May 2018). ANOVA test was used with repeated measures with a p ≤ 0.05, for the analysis of the different studied variances. Significant differences were found (p = 0.021) in the medial direction of the left arm, between the first (May 2017) and fourth stages (May 2018), with values of 71.02 ± 7.15 cm and 65.03 ± 7.66 cm. From the detection of asymmetries, using the OB to measure, in the medial, superolateral and inferolateral directions, mobility and balance can be assessed. In addition, it is possible to observe functional imbalances, as a risk factor for injury, in each of the stages into which the season is divided, which will help in the prevention of injuries and in the individualization of training.

2018 ◽  
Vol 69 (7) ◽  
pp. 1842-1845
Author(s):  
Lavinia Stelea ◽  
Izabella Petre ◽  
Marius Craina ◽  
Brigitha Vlaicu ◽  
Alina Sisu ◽  
...  

The aim of this study was to determine if body mass can be considered a risk factor for infertility, and if we can find any correlations between the age values and the FSH and estradiol values, and between the BMI values and the FSH and estradiol values. Our whole sample contains 100 patients splinted in two groups (pregnant patients N1=57 subjects, 57%, and not � pregnant patients N1=43 subjects,43%). In the first part we conducted our analysis on the whole group and after that we focused the analysis on the two groups and we made some comparisons between the groups. We obtained a medium, extremely significant correlation in all scenarios between the age and the FSH values. This is the best association from all the cases which we tested. In all twelve cases we have a positive correlation (r ] 0). As well, we obtained that a BMI value higher than 25can be considered a risk factor for obtaining a pregnancy (p[0.05, RR ] 1, OR]1) . Our study shows that women who have weight problems have much less chances of conceiving a baby, even if they ovulate normally. The risk of infertility increases proportionally to the extra pounds. Irregular ovulation in women is the most common fertility disorder due to obesity disease.


Author(s):  
Ana P. Sehn ◽  
Anelise R. Gaya ◽  
Caroline Brand ◽  
Arieli F. Dias ◽  
Roya Kelishadi ◽  
...  

AbstractObjectivesThe combination of sleep duration, television (TV) time and body mass index (BMI) may be related to the alteration of cardiometabolic risk. However, there are few studies that use these variables grouped, and showing the moderating role of age. This study aimed to verify if the combination of sleep duration, TV time and BMI is associated with cardiometabolic risk and the moderating role of age in this relationship in youth.MethodsCross-sectional study conducted with 1411 adolescents (611 male), aged 10–17 years. Sleep duration, TV time and BMI were assessed and grouped into eight categories. Cardiometabolic risk was assessed by a continuous metabolic risk score, including the following variables: low HDL-cholesterol, elevated triglycerides, dysglycemia, high systolic blood pressure, high waist circumference and low cardiorespiratory fitness. Generalized linear models were used to test moderation of age in the relationship between the eight categories of sleep duration/television time/BMI with cardiometabolic risk.ResultsCardiometabolic risk factor showed association with all overweight or obesity independent of sleep time and TV time. Age moderated the relationship between sleep duration/television time/BMI with cardiometabolic risk. This association was stronger in younger adolescents (11 and 13 years), indicating that individuals with inadequate sleep, prolonged TV time and overweight/obesity present higher cardiometabolic risk values when compared to 15-year-old adolescents.ConclusionOverweight/obesity, independently of sleep duration and TV time, is the main risk factor for cardiometabolic disorders in adolescence. When moderated by age, younger adolescents that presented the combination of risk factors had higher cardiometabolic risk.


2010 ◽  
Vol 152A (11) ◽  
pp. 2895-2897 ◽  
Author(s):  
Sheree L. Boulet ◽  
Sonja A. Rasmussen ◽  
Margaret A. Honein

2018 ◽  
Vol 106 ◽  
pp. 157-163 ◽  
Author(s):  
Ming Ye ◽  
Paula J. Robson ◽  
Dean T. Eurich ◽  
Jennifer E. Vena ◽  
Jian-Yi Xu ◽  
...  

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