The purpose of this study was to establish the concept of self - management in university athletes through two integrated research methods as an open-ended questionnaire and focus group interview. Data collection was conducted with open questionnaire for 157 athletes attending in Seoul Gyeonggi-do university and the 14 university athletes were collected data by focus group interview. Results from a series of research procedures are as follow. First, the result of open-ended questionnaire's inductive content analysis, university athletes' self management included 8 general sectors such as life management, training management, competitive management, emotion management, study management, interpersonal management, goal(motivation) management, equipment management. Second, in the focus group interview results, inductive content analysis was more properly supported, and interviews focused on sports field were deeply derived. The results of this study will be used as a basic data to establish strategies for successful athletes' life and develop to university athletes' self management.
Purpose: A new form of sports human rights platform is needed for policy-related officials, athletes, leaders, and parents to easily share information on sports human rights and to promote communication between the sports community and the outside. Research design, data, and methodology: Participants were collected from athletes (n=3,007) who were registered in Korean Sport & Olympic Committee. Participants were asked to respond the survey items measuring their experiences of human right violations in sport. Descriptive analysis, t-test, and ANOVA were used to analyze data. Results: The platform should include information on prevention and safety of human rights violations during sports activities, procedures and methods for reporting damage, countermeasures, leader education programs, human rights protection guidelines, roles and supervision of sports organizations and institutions, and related statues. It can form a community as well as exchange information in the Internet space through the operation of bulletin boards by professional athletes, student athletes, parents, and leaders, and plays a role in crisis counseling or information provision. Given the reality that players can be blocked from the outside world, information communication channels on SNS can be a useful means of protecting and improving players' human rights. Conclusions: Therefore, it is necessary to provide a foundation for creating related platforms so that sports human rights sites or SNS can be operated voluntarily. Implications and future directions were discussed.
The purpose of this study was to analyze the sports ethics awareness of college student athletes. To this end, data was collected from 312 college student athletes. The collected data were analyzed by descriptive statistic and chi-square analysis by the experience of college student athlete's intentional defeat, recognition of intentional defeat, cause of match-fixing, and necessity of sports ethics education. The conclusions are as follows. First, 7.1% of the college students had experienced losing intentionally. Second, 16.3% of the college student athletes did not perceive intentional losses irrelevant to gambling as match-fixing. Third, the college student athletes perceived that the causes of match-fixing included illegal pursuit of profits, environmental factors, human relationships, lack of education, etc. Fourth, 8.1% of the college student athletes viewed that sports ethics education is necessary. This study can be used as a basic data of sports ethics education for student athletes and it is expected to grow as a student player who can maintain moral character.
Ulnar collateral ligament injuries of the elbow are frequent among overhead athletes. The incidence of ulnar collateral ligament reconstructions (UCLRs) in high-level players has increased dramatically over the past decade, but the optimal technique of UCLR is controversial. Surgeons need to manage the patients' expectations appropriately when considering the mode of treatment. This article reviews current studies on the management of ulnar collateral ligament injuries, particularly in overhead athletes.
Journal of International Academy of Physical Therapy Research
/
v.1
no.1
/
pp.58-64
/
2010
The purpose of this study was to investigate the distribution of trigger points(TrPs) on athletes with various sporting background. To achieve the purpose, a study was carried out through a survey from 180 athletes involved in 6 selected sports at Yong-In University. Selected sports included Judo, Taekwondo, Kendo, Ssi-reum(Korean traditional wrestling), Boxing, and Golf. An interview type survey and physical examination were conducted with each thirty athletes from each of the selected sports groups. Technical statistic(SPSS 15.0) was used to analyze the distribution of TrPs on these athletes. The most common TrPs observed in muscles of Trapezius, Quadratus Lumborum, Quadriceps in Judo. In Taekwondo, it was on the trapezius and triceps surae. Kendo athletes had TrPs at sites of trapezius, brachioradialis and triceps surae. Ssirem athletes were found to have TrPs on trapezius, deltoid and quadrates lumborum. In boxers, TrPs appearing at trapezius and brachioradialis were observed. Finally, Golf players were seen to have TrPs at trapezius, quadrates lumborum and brachioradialis. Hence, the analysis shows that there are significant differences of the distribution of TrPs according to the different sport items of the athlete.
In an effort to elucidate the effect of physical training on the electrocardiographic amplitudes, QRS vector, axis and QRS vector amplitude, electrocardiograms were recorded before and 1, 5 and 10 minutes after 3 minute rebounder exercise in 23 healthy male students aged between 18 and 21 years in two groups of athletes and non-athletes. ECG amplitudes were measured from lead I, $V_1$ and $V_5$ and axis and amplitudes of QRS vectors were measured from lead I and III in frontal plane, from lead $V_2$ and lead $V_6$ in horizontal plane. The results obtained are summarized as follows. ECG amplitudes: The R wave amplitude was $23.38{\pm}1.14\;mm$ in athletes which was higher than $17.91{\pm}2.00\;mm$ in non-athletes. After exercise, the difference in two groups remained significant throughout the recovery period. The S wave amplitude was increased significantly, and the T wave amplitude was decreased in both groups after exercise. The P wave amplitude was increased in both groups after exercise, and it was lower in athletes than in non-athletes. The PQ segment amplitude was zero in athletes but negative in non-athletes than in the resting state. The J point amplitude was positive in resting state and was negative after exercise in both groups. J+0.08 sec point amplitude was also lowered after exercise, and it was higher in athletes than in non-athletes. Therefore the whole ST segment was proved to be decreased after exercise. The summated amplitude of R in $V_5$ plus S in $V_1$ was $38.74{\pm}2.71\;mm$ in athletes which was higher than $32.82{\pm}2.90\;mm$ in non-athletes. After exercise, it was also significantly higher in athletes than in non-athletes. Axis of QRS vector: In frontal plane, axis of QRS vector was $62.7{\pm}7.36^{\circ}$ in athletes, it showed no significant difference between the two groups. In horizontal plane, axis of QRS vector was $-23.5{\pm}7.2^{\circ}$ in athletes which was significantly higher than $-38.8{\pm}8.2^{\circ}$ in non-athletes. After exercise, it was significantly higher than the resting state in both groups. Amplitude of QRS vector : In frontal plane, amplitude of QRS vector was $13.86{\pm}1.44\;mm$ in athletes which was significantly higher than $9.62{\pm}0.97\;mm$ in non-athletes. After exercise, it was also significantly higher in athletes than in non-athletes. In horizontal plane, amplitude of QRS vector was $19.82{\pm}2.10\;mm$ in athletes which was significantly higher than $16.90{\pm}1.39\;mm$ in non-athletes. After exercise, it was also significantly higher in athletes than in non-athletes. From the above, these results indicate that R wave amplitude in athletes was significantly higher than in non-athletes before and after exercise, and that the summated amplitude of R in $V_5$ plus S in $V_1$ in athletes was also $38.74{\pm}2.71\;mm$ suggesting a left ventricular hypertrophy We should note that the PQ segment and ST segment amplitude were higher in athletes than in non-athletes, and they were decreased with exercise in both groups. In particular, the fact that amplitudes of QRS vector in frontal plane or in horizontal plane were significantly greater in athletes than in non-athletes may be an index in evaluating athletes.
In the present study, an effort was directed to elucidate the effect of the physical training on the pulmonary function. Twenty-four male athletics major students who have undergone regular physical training for more than five years were randomly chosen as the athletic subjects, and 12 regular male students who have not been engaged in any form of regular physical exercise or training were chosen as the non-athletic subjects, and a comparison was made between the two groups. The following were mainly observed by spirometry for the study; respiratory rate, tidal volume, vital capacity, maximum voluntary ventilation(MVV), forced expiratory volume for 1 second$(FEV_1)$, percent $FEV_1$ to forced vital capacity$(FEV_1%)$, forced expiratory flow for initial 1 liter$(FEF_{0.2-1.2}L)$, and forced mid-expiratory flow$(FEF_{\;25-75}%)$. The results obtained are summarized as follow. 1) The respiratory rate, tidal volume, and vital capacity showed no significant difference between athletes and non-athletes. The MVV in athletes was significantly (p<0.01) increased to $148.1{\pm}3.1\;L/min$ comparing with $118.3{\pm}9.1\;L/min$ in non-athletes. 2) $FEV_1$ was $3.310{\pm}0.070\;L$ in athletes and $2.779{\pm}0.104$ in non-athletes; $FEV_1%\;83.63{\pm}1.29%$ in athletes and $75.33{\pm}1.75%$ in non-athletes, both showing significant(p<0.01) increase in athletes. 3) $FEF_{0.2-1.2}L$ was $297.1{\pm}13.5\;L/min in athletes and $222.7{\pm}15.0\;L/min$ in non-athletes; $FEF_{\;25-75}%$ was $3.543{\pm}0.109\;L/sec$ in non-athletes, both showing significant(p<0.01) increase in athletes. 4) Some discussions were made on these results. The lung volumes showed no significant difference between the two groups. But MVV, $FEV_1$, $FEV_1%$, $FEF_{0.2-1.2}L$ and $FEF_{25-75}%$ in athletes were significantly(p<0.01) higher than in non-athletes. It is therefore concluded that the athletes have more powerful respiratory muscles, or higher compliance of the lung and thorax than the non-athletes.
The survey was conducted to investigate athletes# beverage drinking pattern and their knowledge concerning hydration and fluid replacement. The subjects were 371 collegiate athletes (235 males and 136 females) in Seoul and Daejun area. The mean age of the athletes was 20.44 y. The prevalence of sports drink use among subjects at ordinary time, after training, and after competition were 9.0%, 17.1%, and 57.3% respectively. Primary source of sports drink information were advertisement (57.3%), friends or colleagues (14.9%), and coaches (7.0%) The purchase of sports drink was done by athletes themselves (76.0%) and coaches (22.6%). The most influential factor in choice of sports drink was taste (61.5%), brand name (15.1%), composition (12.4%), and advertisement (6.7%) However, only 9.5% of the subjects answered they know well about the sports drink they are drinking. To the 15 questions to survey the nutritional knowledge about fluid and intake of sports drink, subjects responded correctly to 58.47%. Their sex or experiences of nutrition education didn#t affect to their knowledge. As the result, the prevalence of collegiate athletes# sports drink use was high but their knowledge about it was not sufficient. These results suggest that an effective and practical nutrition education for adequate hydration and choice of sports drink for atheletes should be considered.
Objective: The aim of this study was to investigate the effect of participation in contact sports on neurocognitive scores, dual-task walking velocity, and cognitive costs in retired athletes. Method: Forty-four retired athletes (mean age = 26.4±5.5 yrs) and thirty-eight controls (mean age = 26.1±4.9 yrs) participated in this study. Neurocognitive score was collected using computerized neurocognitive testing using RehaCom. Gait velocity was collected one single task, four dual-tasks, and two multi-tasks using Optogait. Mann-Whitney U test was performed to compared differences in cognitive scores among groups. A mixed-design two-way ANOVA and Bonferroni posthoc test were used to assess the effect of group and walking tasks for each condition. Results: The auditory divided attention of neurocognitive score of retired athletes was higher than the control group (p < 0.05). No statistical differences were observed in the other neurocognitive scores between groups. The changes in walking velocity and cognitive costs according to the dual-task walking tests differed between the two groups (p < 0.05). Conclusion: Although participation in contact sports did not affect the neurocognitive results of retired athletes, it could be confirmed that the reduction in walking velocity and an increase in cognitive costs during dual-task walking. Rather than observing only neurocognitive scores as a single evaluation item for cognitive evaluation of retired athletes in relation to daily life, the application of the dual-task gait test may provide useful information.
[Purpose] The goal of this study was to review data on physical activity level (PAL), a crucial index for determining estimated energy requirement (EER), calculated as total energy expenditure (TEE, assessed with doubly labeled water [DLW]) divided by resting metabolic rate (RMR, PAL = TEE/RMR) in female athletes and to understand the methods of assessing athletes' EERs in the field. [Methods] For the PAL data review among female athletes, we conducted a PubMed search of the available literature related to the DLW method. DLW studies measuring TEE and RMR were included for the present review. [Results] Briefly, the mean PAL was 1.71 for collegiate swimmers with moderate training, which was relatively low, but the mean PAL was 3.0 for elite swimmers during summer training camp. This shows that PAL can largely vary even within the same sport depending on the amount of training, and the differences in PAL were remarkable depending on the sport. Aside from the DLW method, there is currently no research tool related to athletes' EERs that can be used in the field. [Conclusion] Briefly, the mean PAL was 1.71 for collegiate swimmers with moderate training, which was relatively low, but the mean PAL was 3.0 for elite swimmers during summer training camp. This shows that PAL can largely vary even within the same sport depending on the amount of training, and the differences in PAL were remarkable depending on the sport. Aside from the DLW method, there is currently no research tool related to athletes' EERs that can be used in the field.
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