The Stretching Programme - Key Factor for Prevent Injuries of "U" 16 Soccer Players

Manolache, Gabriel; Jos, Dunărea de

doi:10.35219/efms.2018.1.05

Cited by 2 publications

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“…The results of our study confirm and they are in accordance with the results of previous studies that showed a decrease in body fat [81,82] and increased muscle volume [83,84], at different age categories [85,86] and by practicing different types of physical activities [87,88]. Expert recommendations, based on complex studies, suggest that 150 min of moderate aerobic physical activity or 75 min of intense aerobic activity per week may lead to improved cardiovascular health; however, studies have not shown significant decreases in obesity or clinical weight optimization without caloric restrictions as a result of dietary readjustments [36,87,89].…”

Section: Discussionsupporting

confidence: 93%

Differences between Active and Semi-Active Students Regarding the Parameters of Body Composition Using Bioimpedance and Magnetic Bioresonance Technologies

Bădău

Trâmbiţaş

et al. 2021

IJERPH

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The aim of the study was to identify differences in obesity-related parameters between active sports students and semi-active or sedentary students, differentiated by sex, in order to optimize health. The study sample included 286 students, of which the male experimental sample consisted of 86 active sports students, age X ± SD 21.25 ± 0.32 years; height X ± SD 181.08 ± 3.52 cm; control group consisting of 89 semi-active students aged X ± SD 21.07 ± 0.1.13 years; height X ± SD 182.11 ± 1.32. The female experimental sample includes 57 active sports students, age X ± SD 21.02 ± 0.92 years; height X ± SD 167.48 ± 1.34 cm; the control group includes 54 semi-active students aged X ± SD 21.57 ± 0.1.98 years; height X ± SD 168.42 ± 1.76. The study used a thalliometer, Tanita Health Ware software and Quantum Resonance Magnetic Analyzer equipment to investigate height (cm), Body Mass Index (BMI), muscle mass (kg, %), as well as the obesity analysis report, and componential analysis of body and nourishment. The differences registered between the samples of active and semi-active sports subjects were predominantly statistically significant for p < 0.05. The differences registered between the samples of active and semi-active sports subjects were predominantly statistically significant for p < 0.05. The most important parameters regarding obesity and body composition that registered significant differences between the two male groups were in favor of the group of active athletes: triglyceride content of abnormal coefficient 0.844 (CI95% 0.590–1.099), abnormal lipid metabolism coefficient 0.798 (CI95% 1.091–0.504), obesity degree of body (ODB %) 10.290 (CI95% 6.610–13.970), BMI 2.326 (CI95% 1.527–3.126), body fat (kg) 2.042 (CI95% 0.918–3.166), muscle volume (kg) 2.565 (CI95% 1.100–4.031), Lean body weight (kg) 2.841 (CI95% 5.265–0.418). In the case of female samples, the group of active sportswomen registered the biggest differences compared to the group of students who were significantly active in the parameters: abnormal lipid metabolism coefficient 1.063 (CI95% 1.380–0.746), triglyceride content of abnormal coefficient 0.807 (CI95% 0.437–1.178), obesity degree of body (ODB%) 8.082 (CI95% 2.983–13.181), BMI 2.285 (CI95% 1.247–3.324), body fat (kg) 2.586 (CI95% 0.905–4.267), muscle volume (kg) 2.570 (CI95% 0.154–4.985), lean body weight (kg) 4.118 (CI95% 1.160–7.077). The results of the study directly facilitate the understanding of the complexity of the impact of obesity on multiple parameters of body composition and health.

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Section: Discussionsupporting

confidence: 93%

Differences between Active and Semi-Active Students Regarding the Parameters of Body Composition Using Bioimpedance and Magnetic Bioresonance Technologies

Bădău

Trâmbiţaş

et al. 2021

IJERPH

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“…Studies underlined that, with increasing age, motoric abilities are improved, and the females reach the top in motoric abilities at age 14-15 [59][60][61]. The researchers showed that more than 80% of the females and 70% of the males at age 11 do not have recommended physical activity, whereas 85% of the females and 69% of the males do not have recommended physical activity at age 13, which indicates that the prevalence of insufficient physical activity is higher among females than males [62][63][64]. A longitudinal study [65] which was realized in three-year period shows that females spend more hours in sitting activities (reading, watching TV, working on a computer) in comparison to the males who usually spend their spare time in playing sports or various types of games.…”

Section: Discussionmentioning

confidence: 99%

Fitness Level Differences between Students in Kosovo and Montenegro

2021

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Geographical, cultural, and socio-economic factors create a different lifestyle. Accordingly, the aim of this research was to identify the differences in anthropometric and fitness characteristics among adolescents living in Montenegro and Kosovo in order to optimize the physical fitness as a consequence of the proactive behavior. Anthropometric characteristics and fitness level measures were assessed by Eurofit testing battery among 600 Kosovar and 600 Montenegrin students, equally distributed by gender. Differences between countries, gender, and age group (13, 14 and 15 years) were assessed with multivariate and univariate analysis of variance. The results showed that Montenegrin students are taller, heavier, and achieve better results in the sit-ups and 20-m endurance shuttle-run tests. Kosovar students achieve better results in the standing broad jump and 10 × 5 m shuttle-run tests. Males achieve significantly better results in all tests, excluding the sit-and-reach test. Statistically significant differences among age groups were found for all variables, regardless gender and country (except for the flamingo and sit-and reach tests). This study is of importance to physical education teachers and curriculum authors to optimize students’ proactive behavior based on the identified anthropometric and physical fitness differences between the two countries, age groups, and genders.

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The Stretching Programme - Key Factor for Prevent Injuries of "U" 16 Soccer Players

Cited by 2 publications

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Differences between Active and Semi-Active Students Regarding the Parameters of Body Composition Using Bioimpedance and Magnetic Bioresonance Technologies

Differences between Active and Semi-Active Students Regarding the Parameters of Body Composition Using Bioimpedance and Magnetic Bioresonance Technologies

Fitness Level Differences between Students in Kosovo and Montenegro

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