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Rat의 유영훈련이 심근의 α, βMHC, mRNA 농도에 미치는 영향
박상갑,윤영학,김복주 대한스포츠의학회 2000 대한스포츠의학회지 Vol.18 No.1
The purpose of this study is to investigate the change of α·β-MHC·mRAN concentration in cardiac muscle of rats after a 12-week swimming training. The 42 subjects, three week old Spragie-Dawley rate, were divided into five groups. The control group(n=7) lead a sedentary life during the whole training period. The four exercise groups had swimming training for 30,60,90 and 120minutes a day(five times a week) respectively. The cardiac muscle was taken from the subjects, then α·β-MHC·mRAN was analyzed by the northen blot method. The mean(M) and standard deviation(SD) were calculated and tested by multiple ANOVA. The level of significance was set at the probability value 9f 0.05. The followings summarize the results : 1. The concentration of α·β-MHC·mRAN increased in the cardiac muscle of the rat with respect to the aging process. 2. In cardiac muscle of swimming training group, concentration α·β-MHC·mRAN significantly(p<.01) increased to compare with the control group. 3. The concentration of α·β-MHC·mRAN increased in the cardiac muscle of the rat by way of endurance training. 4. The effect of exercise duration may have existed in the concentration of α·β-MHC·mRAN in the cardiac muscle of the rat. As exercise duration may have existed in the concentration of α·β-MHC·mRAN increased in the cardiac muslce Thus the swimming training caused muscular hypetrophy.
女子大學生의 PWC 에 관한 實驗的 硏究 : with priority given to %Vo₂max %VO₂max를 中心으로
鄭永銖,韓載琴,朴相甲 新羅大學校 1985 論文集 Vol.20 No.-
With the subject of six Badminton players, seven Softball tennis players, and six General Students; this study was made in order to reveal the degree of PWC170 and %VO₂max by measuring how rate would change when they run on the treadmill. These results are as follows: 1. In Body surface area, badminton players were 1.64±0.058㎡, softball tennis players were 1.54±0.072㎡, general students were 1.45±0.093㎡. 2. In all-out time, badminton playerswere the highest as 15.15 1.00/min, softball tennis players were 15.04 0.41/min, general student were 12.45±1.35/min. 3. In Maximum heart rate, badminton players were 190.0 2.53beats/min, softball tennis players were 192.4±3.74 beats/min, general students were 205.0±2.45beats/min. 4. In VO₂max, badminton players were 2.92±0.188ℓ/min, softball tennis players were 2.87±0.500ℓ/min, general students were 2.30±0.311ℓ/min. In VO₂max/wt, badminton players were 43.61±2.821 ㎖/kg/min, softball tennis players were 49.65±10.129 ㎖/kg/min, general students were 45.68±3.495 ㎖/kg/min. 5. In Rest O₂pulse, badminton players were 4.56±1.035 ㎖/beats, softball tennis players were 3.50 ±.932 ㎖/beats, general students were 2.78±0.412 ㎖/beats. In Max O₂Pulse, badminton players were 15.42±1.77 ㎖/beats, softball tennis playerswere 15.13±2.559 ㎖/beats, general student were 11.33±1.741 ㎖/beats. 6. In Rocovery heart rate and % VO₂max, badminton players were fastest recovery, general students were last recovery. 7. Between heart rate and %VO₂max revealedvery high correlation as more than r=0.91 Significantly different revealed 0.1% at the level. 8. In PWC 170, badminton players 80.2% at % VO₂max, Softball tennis players 74.7% at % VO₂max, general students 54.0% at % VO₂max
運動適性에 따른 體力年齡에 관한 硏究 (Ⅰ) : 家庭主婦들을 中心으로 In the case of housewives in Pusan city
兪昌在,朴相甲 新羅大學校 1985 論文集 Vol.19 No.-
The purpose of this study is to compare the state of physical fitness age with that of chronological age in the case of housewiues aged from 30 to 49 years who live Pusan city. In order to calculate their ages of physical fitness, they were tested in five items: 1) standing long jump, 2) sit-ups, 3) push-ups, 4)timed shuttle run, 5) 5 minutes distance run. The main resulte obtained are as follows. 1. The percent body is 38.7±6.80% in the age-group of 30∼34 years, 41.7±4.89% in the age-group of 40∼44 years, ±% in the age-group of ∼ 2. The body weight has significant negative relationship with the percent body fat in all age-groups 3. The grade of physical fitness is evaluated to be in the 5th grade in all age-groups, but the 44∼44 age-group is evaluated to be in the non-grade 4. The physical fitness age turned out to be ten years order than the chronological age in average. 5. There is significant negative relationship between the physical fitness age and five test items of physical fitness 6. There is significant negative relationship between the percent body fat and the five test items of physical fitness.