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1.
Front Psychol ; 13: 1012517, 2022.
Article in English | MEDLINE | ID: mdl-36544454

ABSTRACT

This study compared the time of female judo combat phases in international competitions between two Olympic cycles (2016; 2020) according to weight divisions (48 kg = 132; 52 kg = 72; 57 kg = 109; 63 kg = 96; 70 kg = 69; 78 kg = 106; >78 kg = 82; total = 666 combats/cycle). The behaviors of 1,332 high-level female judo combats were randomly observed over two Olympic cycles (2016 = 666; 2020 = 666) from the top 20 athletes in the world ranking by weight division. We performed time-motion analysis according to the combat phase and sequential judo actions (approach, gripping, attack, defense, groundwork, pause, and effort: pause ratio) considering the moment when the combat ended (Regular time = RT; Golden score = GS). The weight division groups were compared between Olympic cycles (2016; 2020), and p < 0.05 was defined as significant. The main results showed that 2020 athletes spent less time in the gripping (p = 0.005), attack (p < 0.001), defense (p < 0.001), groundwork (p<0.001) and pause (p = 0.002) phases than 2016 athletes. However, compared by the end-of-combat, 2020 female athletes spent less time in all combat phases for RT combats (p < 0.001), and more time in the approach phase for GS combats (p < 0.05) than in 2016. The 2016 weight divisions showed a higher diversity in the effort: pause ratio (2.5:1-3.4:1), whereas the 2020 weight divisions had values closer to each other (2.8,1-3:1). Analyzing each weight division separately and by the end-of-combat, the main results showed that (p < 0.05): 48, 63, 70, and 78 kg reduced the time in almost every phase of RT combat (except for: 63 kg = gripping and attack; 70 kg = approach and groundwork; 78 kg = approach); 48 and 57 kg increased the groundwork time in GS combats whereas 78 kg decreased; 52 kg and 78 kg increased the GS approach time. The temporal behavior of the combats changed between the Olympic cycles with different rules. These data must be considered to understand the characteristics of each group and to prescribe specialized training in female judo.

3.
Clin Interv Aging ; 12: 1443-1450, 2017.
Article in English | MEDLINE | ID: mdl-28979106

ABSTRACT

Type 2 diabetes mellitus (T2DM) consists of a set of metabolic and endocrine disorders which evolve into deficiency in insulin action and hyperglycemia. Physical exercise is considered the main intervention to prevent and control T2DM. Literature has suggested that circulating microRNAs (miRs) help to understand responses to physical activity among diabetic patients. Thus, the aim of this study was to analyze the acute effect of two interventions (strength and cardiovascular) on the total, whole blood circulating concentrations of miR-126, miR-146a and miR-155 in older adults with and without T2DM. A total of 23 male and female older adults (68.2±5.3 years) participated in the trial, 13 of whom presented with controlled T2DM and 10 were nondiabetics. They underwent both interventions separately, performed with intensity from 60% to 70% of reserve heart rate. Glucose and miRs levels were quantified and compared across groups with baseline titers as covariables. Diabetic patients showed more reduction in serum blood glucose than nondiabetics, with a great magnitude of reduction after the strength training intervention, which was paralleled by a positive change of the whole blood circulating levels of miR-146a, but not of the other miRs. Our report supports evidence that miR-146a levels in peripheral blood leukocytes are negatively associated with a state of insulin resistance, which is suggested as a novel marker to trace response to antidiabetic interventions.


Subject(s)
Diabetes Mellitus, Type 2/metabolism , Diabetes Mellitus, Type 2/rehabilitation , MicroRNAs/biosynthesis , Resistance Training/methods , Aged , Biomarkers , Blood Glucose , Female , Humans , Hypoglycemic Agents/therapeutic use , Insulin Resistance/physiology , Male , Middle Aged
4.
Pediatr Exerc Sci ; 28(2): 312-20, 2016 05.
Article in English | MEDLINE | ID: mdl-26731016

ABSTRACT

PURPOSE: Criterion-referenced cut-points for health-related fitness measures are lacking. This study aimed to determine the associations between aerobic fitness and high blood pressure levels (HBP) to determine the cut-points that best predict HBP among adolescents. METHOD: This cross-sectional school-based study with sample of 875 adolescents aged 14-19 years was conducted in southern Brazil. Aerobic fitness was assessed using the modified Canadian Aerobic Fitness Test (mCAFT). Systolic and diastolic blood pressure were measured by the oscillometric method with a digital sphygmomanometer. Analyses controlled for sociodemographic variables, physical activity, body mass and biological maturation. RESULTS: Receiver Operating Characteristic (ROC) curves demonstrated that mCAFT measures could discriminate HBP in both sexes (female: AUC = 0.70; male: AUC = 0.63). The cut-points with the best discriminatory power for HBP were 32 mL·kg-1·min-1 for females and 40 mL·kg-1·min-1 for males. Females (OR = 8.4; 95% CI: 2.1, 33.7) and males (OR: 2.5; CI 95%: 1.2, 5.2) with low aerobic fitness levels were more likely to have HBP. CONCLUSION: mCAFT measures are inversely associated with BP and cut-points from ROC analyses have good discriminatory power for HBP.


Subject(s)
Hypertension , Physical Fitness/physiology , Adolescent , Brazil , Cross-Sectional Studies , Exercise Test , Female , Humans , Male , Oxygen Consumption , ROC Curve , Reference Values , Young Adult
5.
J Hum Kinet ; 45: 225-32, 2015 Mar 29.
Article in English | MEDLINE | ID: mdl-25964825

ABSTRACT

The aim of this study was to examine the association between sports participation and sedentary behavior during school recess among Brazilian adolescents. This study included 2,243 adolescents aged 13-18 years (16.2 ± 1.1), 62.2% females and 37.8% males, enrolled in public high schools in Aracaju, Northeastern Brazil. Sedentary behavior during school recess and sport participation was self-reported. Several factors were examined, including sex, age, skin color, socioeconomic status, maternal education and physical activity level. Sixty percent of adolescents had sedentary behavior during school recess and 57.7% of adolescents reported that they did not participate in any team sport. Additionally, adolescents who did not practice any team sport were 40% more likely (OR: 1.4, 95% CI: 1.1, 1.8) to be sedentary during school recess compared to those who participated in two or more team sports. It is recommended that schools encourage students to engage in sports activities and promote more physical activity during school recess to reduce the sedentary behavior and increase physical activity levels in youth.

6.
ScientificWorldJournal ; 2014: 863918, 2014.
Article in English | MEDLINE | ID: mdl-25548796

ABSTRACT

The aim of this study was to identify prevalence and factors associated with violent behavior among adolescents in Aracaju and Metropolitan region. The study included 2207 adolescents (16.03±1.08 years old) enrolled in high schools of the State Public Network. Violent behavior was identified from question 14 of the YRBS-2007 questionnaire with responses categorized as "never" and "one or more times." Higher prevalence in males in relation to risk factors for adoption of violent behavior was found: cigarette consumption (7.3%), alcohol consumption (39.1%), and marijuana use (3.4%). Data analysis used descriptive statistics and logistic regression with hierarchical model at two levels: (a) sociodemographic variables and (b) behavioral variables. For both sexes, association between violent behavior and cigarette smoking (OR=3.77, CI 95%=2.06-6.92 and OR=1.99, CI 95%=1.04 to 3.81, male and female, resp.) and alcohol consumption (OR=3.38, CI 95%=2.22 to 5.16 and OR=1.83, CI 95%=1.28 to 2.63, male and female, resp.) was verified. It was concluded that violent behavior is associated with the consumption of alcoholic beverages and cigarettes among adolescents.


Subject(s)
Adolescent Behavior/psychology , Violence/psychology , Violence/statistics & numerical data , Adolescent , Brazil/epidemiology , Demography , Female , Humans , Male , Prevalence , Risk Factors
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