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1.
Eur Rev Med Pharmacol Sci ; 26(17): 6073-6083, 2022 09.
Article in English | MEDLINE | ID: mdl-36111907

ABSTRACT

OBJECTIVE: Basketball players often display poor balance and increased injury rates when compared to other athletic categories. Therefore, the relationship between postural control and injury risks in basketball athletes requires investigation. The purpose of this study was to: (a) establish a postural profile of elite women basketball players, (b) compare postural control of the different playing positions to detect the vulnerability of postural balance, and (c) attempt to understand the reasons underlying these differences. PATIENTS AND METHODS: 30 elite female basketball players (aged 21.4±2.3 years) were assigned to three groups according to their playing positions (n=10 guards; n=10 forwards; n=10 centers). A one-way analysis of variance was performed to determine differences between balance test variables under three conditions (static, dynamic antero-posterior and medio-lateral). When a significant main effect was observed, Tukey's post-hoc multiple comparisons tests were used to determine statistical significance. Associations between balance and morphological variables, muscle strength and power were assessed using Pearson's correlation coefficient. RESULTS: Results reveal that basketball players had better postural control than previously studied handball players and non-athletes, but they are more dependent on vision than other categories. When comparing postural controls of playing position, centers show greater vulnerability [Y mean (OE)] than forwards: p<0.001; or guards: p<0.01), due to morphological factors (body mass r=-0.80, height r=-0.68, and lower limb length r=-0.63, and specific power r=-0.40). CONCLUSIONS: Therefore, coaches and strength and conditioning specialists should give specific focus to improving lower limb strength and power in centers and taller basketball players to mitigate against injury risks related to postural control.


Subject(s)
Basketball , Athletes , Basketball/physiology , Body Height , Female , Humans , Muscle Strength/physiology , Postural Balance
2.
J Sports Med Phys Fitness ; 52(1): 11-7, 2012 Feb.
Article in English | MEDLINE | ID: mdl-22327081

ABSTRACT

AIM: The objective of this study was to examine the association between physical and anthropometric profiles and vertical jump performance in elite volleyball players. METHODS: Thirty-three elite male volleyball players (21±1 y, 76.9±5.2 kg, 186.5±5 cm) were studied. Several anthropometric measurements (body mass, stature, body mass index, lower limb length and sitting height) together with jumping height anaerobic power of counter movement jump with arm swing (CMJarm) were obtained from all subjects. Forward stepwise multiple linear regression analysis was performed to determine if any of the anthropometric parameters were predictive of CMJarm. RESULTS: Anaerobic power was significantly higher (P≤0.05) in the tallest players relative to their shorter counterparts. A significant relationship was observed between CMJarm and lower limb length (r2=0.69; P<0.001) and between the lower limb length and anaerobic power obtained with CMJarm (r2=0.57; P<0.01). While significantly correlated (P≤0.05) with CMJarm performance, stature, lower limb length/stature and sitting height/stature ratios were not significant (P>0.05) predictors of CMJarm performance. CONCLUSION: This study demonstrates that lower limb length is correlated with CMJarm in elite male volleyball players. The players with longer lower limbs have the better vertical jump performances and their anaerobic power is higher. These results could be of importance for trained athletes in sports relying on jumping performance, such as basketball, handball or volleyball. Thus, the measurement of anthropometric characteristics, such as stature and lower limb length may assist coaches in the early phases of talent identification in volleyball.


Subject(s)
Athletic Performance/physiology , Lower Extremity/physiology , Movement/physiology , Volleyball/physiology , Adult , Humans , Linear Models , Lower Extremity/anatomy & histology , Male , Young Adult
3.
J Sports Med Phys Fitness ; 51(3): 393-400, 2011 Sep.
Article in English | MEDLINE | ID: mdl-21904277

ABSTRACT

AIM: The aim of this study was to assess the effect of an aerobic training on glycemic control and lipid profile in diabetic children. METHODS: Thirty-three children with type 1 diabetes mellitus (T1DM) were equally divided in three groups. The control group (CG) did not perform any training intervention during the period of the investigation and the subjects were instructed to continue with their daily lifestyle patterns. The second group (G1) and the third group (G2) completed a six-month aerobic training programs. During the period of the investigation, G1 participated in one daily session (~60 min) of aerobic exercise twice weekly, while G2 performed in the form of daily session four times a week (~60 min). HbA1c and lipid profile were measured before training intervention, then after three and six months. RESULTS: The three-month periods was without significant changes of HbA1c in the two groups but significantly increased high-density lipoprotein cholesterol (HDL-C) in G1 (P<0.05). In G2, an increase of HDL-C was accompanied by a decrease of serum triglyceride (TG) (P<0.05). After six months, only HDL-C and TG levels were significantly lower in G1 (P<0.01), while in G2 HDL-C increased (68.8±5.7 mg/dL vs. 56.7 ±7.2 mg/dL; P<0.01), low-density lipoprotein cholesterol (LDL-C) (69.2±8.5 mg/dL vs. 81.6±11.8 mg/dL; P<0.01), TG concentrations decreased (60.7±6.9 mg/dL vs. 77.4±9.3 mg/dL; P<0.01) and HbA1c was significantly lower (6.8±1.1% vs. 8.2±1.5%; P<0.05), comparatively to those before training. CONCLUSION: However, the six-month periods showed that children exercising more than two times weekly significantly improved HbA1c and lipid profile. These results must encourage children with T1DM to regularly practice sporty activities for long periods.


Subject(s)
Cholesterol, HDL/metabolism , Cholesterol, LDL/metabolism , Diabetes Mellitus, Type 1/therapy , Exercise Therapy/methods , Glycated Hemoglobin/metabolism , Triglycerides/metabolism , Adolescent , Analysis of Variance , Anthropometry , Blood Glucose/analysis , Case-Control Studies , Child , Female , Humans , Male , Surveys and Questionnaires , Treatment Outcome
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