• The Journal of Korean Physical Therapy
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• v.14 no.4
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• pp.119-130
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• 2002

The purpose of this study was to evaluate hemodynamics of intracranial blood flow for obtain clinically useful reference values and assess cerebral hemodynamics change with aging. 81 normal Korean subjects(age, 14$\thicksim\∼\thicksim$70 years) examined who han no history of neurologic disease and the subjects divided into group A(age, 14$\∼$39 years), group B(age, 40$\∼$59 years) and group C(age, 60$\∼$70 years). Transcranial doppler was use for measured the maximum velocity(Vmax), mean velocity(Vmean), pulsatility index(PI), resistive index(RI), stenosis index(SI) and depth of sample volume. Vmax was 99.1 1cm/s, Vmean was 63.57cm/s, PI was 0.85, RI was 0.56, SI was 31.94 and depth of sample volume was 52.35 in middle cerebral artery. Vmax was 85.54cm/s, Vmean was 52.52cm/s, PI was 0.82, RI was 0.55, SI was 34.48 and depth of sample volume was 73.62 in anterior cerebral artery. Vmax was 75.45cm/s, Vmean was 45.60cm/s, PI was 0.82, RI was 0.58, SI was 36.14 and depth of sample volume was 62.35 in posterior cerebral artery. Vmax was 70.44cm/s, Vmean was 47.07cm/s, PI was 0.87, RI was 0.58, SI was 29.83 and depth of sample volume was 75.23 in basilar artery Vmax was 63.92, Vmean was 42.42, PI was 0.89, RI was 0.58, SI was 29.89 and depth of sample volume was 66.65 in vertebral artery. Vmax and Vmean was significantly decreased with increasing age in middle cerebral artery, anterior cerebral artery, posterior cerebral artery, basilar artery and vertebral artery And PI and RI was significantly increased with increasing age in basilar artery and vertebral artery. And I suggest that transcranial doppler sonography can be used as one of useful clinical tool for detection of cerebral hemodynamics.

• Journal of agricultural medicine and community health
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• v.2 no.1
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• pp.36-42
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• 1977

A study on blood pressure and hematocrit values of 1,559 people in 19 Korean rural areas was carried out in 1974 and the results were analyzed statistically. Obtained as follows: 1. The blood pressure according to sex and age groups (from the twenties to the seventies) was as follows: 1) The blood pressure of male by age group il) In the twenties, M (mean) was 125. 85/74, 15mm/Hg, a (standard deviation) was 15.9/10.2, and ill (standard error) was 1.55/0.99. (2) In the thirties, ${\delta}$ was 123.93/77.19 mm/Hg, a was 14.4/10.8, and m was 1.24/0.93. (3) In the forties, M was 128.44/81.15 mm/Hg, a was 23.9/14.7, and m was 2.16/1.33. (4) In the fifties, M was 128.48/181.24 mm/Hg, a was 24.7/13.9, and m was 2.05/1.16. (5) In the sixties, M was 135.80/81.70 mm/Hg, a was 27.4/18.8, and ${\delta}$ was 2.74/1.88. (6) In the seventies, M was 146.84/83. 16mm/Hg, ${\delta}$ was 24.5/10.0, and m was 5.62/2.30. 2) The blood pressure of female by age group (1) In the twenties, M was 117.89/73.33 mm/Hg, ${\delta}$ was 15.7/12.1, and m was 1.42/1.09. (2) In the thirties, M was 118.04/75.71 mm/Hg, ${\delta}$ was 16.9/13.0, and m was 1.13/0.87. (3) In the forties, M was 120.92/78.17 mm/Hg, ${\delta}$ was 20.9/12.9, and m was 1.42/0.87. (4) In the fifties, M was 122.14/79.55 mm/Hg, ${\delta}$ was 24.2/15.9, and m was 1.63/1.07. (5) In the sixties, M was 131.57/84.29 mm/Hg, ${\delta}$ was 28.4/16.9, and m was 2.58/1.53. (6) In the seven ties, M was 139.62/86, 54 mm/Hg, ${\delta}$ was 22.4/15.7, and m was 4.38/3.09. And the range of systolic blood pressure in male was 70~230 mm/Hg and in female was 80-230 mm/Hg. The range of distolic blood pressure in male was 50~160 mm/Hg and in female was 40~140 mm/Hg. 2. The hematocrit value according to sex and age groups was as follows: 1) The hematocrit values of male by age group (1) In the twenties, M was 42.72%, ${\delta}$ was 3.05, and m was 0.30. (2) In the thirties, M was 41.77%, ${\delta}$ was 3.29, and m was 0.28. (3) In the forties, M was 41.39, ${\delta}$ was 3.86, and m was 0.35. (4) In the fifties, M was 40.12%, ${\delta}$ was 3.65, and m was 0.30. (5) In the sixties, M was 39.88%, ${\delta}$ was 3.81. and m was 0.38. (6) In the seventies, M was 38.47%, ${\delta}$ was 2.27, and m was 0.52. 2) The hematocrit values of female by age group (1) In the twenties, M was 35.40%, ${\delta}$ was 3.37, and m was 0.30. (2) In the thirties, M was 35.50%, ${\delta}$ was 3. 35, and m was 0.22. (3) In the forties, M was 35.75%, ${\delta}$ was 3. 18, and m was 0.22. (4) In the fifties, M was 35.84%, ${\delta}$ was 3.30, and m was 0.22. (5) In the sixties, M was 35.70%, ${\delta}$ was 3.35, and m was 0.30. (6) In the seventies, M was 35.08%, ${\delta}$ was 3.08, and m was 0.60. The range of hematocrit values in male was 23~50% and in female was 18~50% (un associated with age groups). 3. In comparison with the blood pressure and the value of hematocrit of study groups showed that the blood pressure raised higher but the value of hematocrit got lowered on the contrary as the groups are getting older. 4. Total number of patients with hypertension was 165(10.6%) which were consisted with 71 male (11.3%) and 94 female (10.1%). But only two cases of the male patient and one case of the female patient were associated with protein uria. 5. The incidence of anemia by hematocrit values was as follows: 1) The incidence of male anemia patients based on$\leqq$41% ($\leqq$39%). (1) In the twenties, incidence was 43.90% (16.98%). (2) In the thirties, 41.48% (25.93%). (3) In the forties, 42.62% (25.41%). (4) In the fifties, 62.76% (40.69%). (5) In the sixties, 70% (38%). (6) In the seventies, 84.21% (73.68%). 2) The incidence of female anemia patients bailed on $\leqq$35% ($\leqq$34%). (1) In the twenties, incidence was 43.90% (37.39%). (2) In the thirties, 48.21 % (33.93%). (3) In the forties, 43.58% (32.57%). (4) In the fifties, 45.91 % (34.09%). (5) In the sixties, 47.11% (37.19%). (6) In the seventies, 50% (46.15%) 6. The incidence rate of anemia patients with hypertension was highest in the age group 51~60 in male and 31~40 in female.

• The Journal of Korean Society for School & Community Health Education
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• v.3
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• pp.111-140
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• 2002

This study was conducted from April 1 through April 30, 2002 in order to figure out the relationship between physical health status and life style and the factors influencing physical health. Subjects were selected from among the residents older than 20 years old by probability scheme of one out of 2000. Three thousand people were interviewed by questionnaires, and 2,742(91.4%) respondents were used for analysis, and the results are as follows: 1. Ridit(Relatives to an identified distribution it) of category one by sex was 0.26 in man, and 0.25 in woman. Ridit of category two was 0.57 in man and 0.53 in woman, those of category three was 0.72 in man and 0.65 in woman. That of category four was 0.86 in man and 0.85 in woman, that of category five was 0.95 in man and 0.97 in woman, and that of category six was 0.98 in man and 0.99 in woman. The ridits and health related categories by sex were r=.954 in man and r=.966 in woman(p<0.01) 2. Ridits of healthy behavior 2-1. The ridit of males who slept for less than 6 hrs was 0.71, that of those who slept for $7{\sim}8$ hrs was 0.24, and that of those who slept for more than 9 hours was 0.96. The ridit of females who slept for less than 6 was 0.80, that of those who slept for $7{\sim}8$ hrs was 0.32, and that of those who slept for more than 9 hrs was 0.97. 2-2. The ridit of male, who ate breakfast everyday was 0.30, that of those who ate one to four breakfast per week was 0.87, and that of those who never ate breakfasts was 0.96. The ridit of females who ate breakfast everyday was 0.32, that of those who ate breakfast one to four times a week was 0.75, and that of those who never ate breakfast was 0.99. 2-3. The ridit of males whose body weights were 10% lower than normal body weight was 0.45, that of those with $5{\sim}9.9%$ less than normal body weight was 0.28, that of those with ${\pm}4.9%$ of normal body weight was 0.12, that of those whose body weights were $5{\sim}9.9%$ heavier than normal was 0.40, that of those whose body weights were $10{\sim}19.9%$ heavier than normal was 0.74, that of those with $20{\sim}29.9%$ heavier than normal body weights was 0.78 and that of those with 30% heavier than normal body weight was 0.87. That of females with 10% less than normal body weight was 0.53, that of those with $5{\sim}99%$ less than normal body weight was 0.32, that of 4.9% those with ${\pm}f$ normal body weight was 0.14, that of those with 5.0 to 9.9% heavier body weights was 0.43, that of those with 10 to 19.9% heavier body weight was 0.65, that of those with $20{\sim}29.9%$ heavier body weight was 0.94 and that of those with more than 30% of normal body weight was 0.94. 2-4. The ridit of males who exercised everyday was 0.11, that of those who exercised three to four times a week was 0.25, that of those exercising once or twice a week was 0.48, and that of those who never exercised was 0.80. The ridit of females exercising everyday was 0.08, that of those exercising three to four times a week was 0.21, that of those exercising one to two times was 0.35 and that of those who never exercised was 0.72. 2-5. The ridit of males who did not drink at all was 0.14, that of those who drank one or two cups of hard liquor(Soju) was 0.39, that of those who drank a half bottle of Soju was 0.56, that of those who darnk a bottle of Soju was 0.73 and that of those who drank two bottles of Soju was 0.96. The ridit of females who did not drink at all was 0.30, that of those who drank one or two cups of Soju was 0.70, that of those who drank a half bottle of Soju was 0.84, that of those who drank a bottle of Soju was 0.97 and that of those who drank more than two bottles of Soju was 0.99. 2-6 The ridit of males who did not smoke was 0.20, that of those who smoked one or two cigarettes was 0.44, that of those who smoked about ten cigarettes was 0.58, and that of those who smoked more than a pack of cigarettes was 0.85. The ridit of females who did not smoke at all was 0.90, that of those who smokes one or two cigarettes was 0.91, that of those who smoked about the cigarettes was 0.93 and that of those who smoked more than a pack of cigarettes was 0.96 3. The ridit of males who had healthy behavior in six categories was 0.43 and the average age of them was 45, that of those who had healthy behavior in five categories was 0.47 and the average age was 45, that of those who had healthy behavior in three categories was 0.50 and the average age was 43, that of those who had heathy behavior in two categories was 0.60 and the average age was 40, that of those who had healthy behavior in one category was 0.68 and the average age was 38, and that of those who did not have healthy behavior at all in six categories was 0.79 and the average age was 41. The ridit of females who had heathy behavior in six categories was 0.38 and the average age was 45, that of those who had healthy behavior in five categories was 0.40 and the average age was 44, that of those who had healthy behavior in four categories was 0.46 and the average age was 43, that of those who had healthy behavior in three categories was 0.52 and the average age was 44, that of those who had healthy behavior in two categories was 0.57 and the average age was 41, that of those who the healthy behavior in one category was 0.62 and the average age was 40, and that those who did not have healthy behavior in six categories was 0.79 and the average age was 43. 4. The health statues of the persons who the healthy behavior were better than those who did not have healthy behavior. If the people have healthy behavior in young age and they have healthy education continuously, they can live healthier lives.

• The Journal of Pediatrics of Korean Medicine
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• v.15 no.2
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• pp.31-41
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• 2001

We studied 100 neonates to enter a Dongguk University Oriental Hospital Postpartum Care Center, during 9 months from February 10. 2001 to November 4. 2001. The conclusion is following. 1. Newborn sex ratio was 1.70. 2. Delivery method : Normal vaginal delivery was 66 and cesarean section was 34. 3. Gestation age : Premature infants less than 37 weeks were 2 term infants from 37 to 41 weeks were 98 and post-term infants 42 or more weeks were zero. 4. Period between birth and admission : First to fifth day was 66 sixth to tenth day was 32 and eleventh or more day was 2. 5. Period of admission : 1 to 7 days were 8. 8 to 14 days were 65. 15 to 21 days were 23. and 22 to 28 days were 4. 6. Weight : Birth weight less than 2500g was 3. 2500 to 3999g was 92. and 4000g or more was 5. 7. Height : Zero week after birth the average height was 48.8cm, one week after birth was 50.0cm, two weeks after birth was 51.8cm, three weeks after birth was 53.2cm, four weeks after birth was 54.5cm. 8. Head circumference : Zero week after birth the average head circumference was 34.6cm, one week after birth was 35.3cm, two weeks after birth was 35.7cm, three weeks after birth was 36.3cm, four weeks after birth was 36.8cm. 9. Chest circumference : Zero week after birth the average chest circumference was 33.2cm, one week after birth was 33.5cm, two weeks after birth was 34.4cm, three weeks after birth was 35.1cm, four weeks after birth was 36.6cm. 10. Feeding : There was not breast feeding, artificial feeding was 8, and mixing feeding was 92. 11. Jaundice : Physiologic jaundice was 10, pathologic jaundice was 1.

• Journal of the Korean Home Economics Association
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• v.35 no.3
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• pp.287-305
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• 1997

The purpose of this study was to analyze a causal effect on the housewife's leisure activity participation, leisure expenditure and leisure life satisfaction. Data was collected 249 housewives in Pusan. Data were analysed using descriptive statistics, one-way Anova, multiple regression, Pearson's correlation and path analysis. The main findings of the research were as follows: First, there were significant differences in leisure activity participation according to socio-demographic and economic variables. Physical type showed significant differences when housewife was 30's and unemployed, size of family was 3 and 4, age of the lastborn child was under 6, occupation of husband was professionals and technicians, educational attainment of housewife was under highschool graduate, pattern of housing was collective, income was higher. There were significant differences that occupation of husband was professionals and technicians, educational attainment of housewife was over junior college graduate, pattern of housing was collective, income was higher in self-developing type. restful type showed significant differences when housewife was 40's, age of the lastborn child was under 13-18, educational attainment of housewife was under highschool graduate. There were significant differences that housewife was unemployed in home-oriented type. There were significant differences that housewife was 30's and unemployed, size of family was 4, age of the lastborn child was under 6, occupation of husband was market and sales worker, educational attainment of housewife was over junior college graduate, pattern of housing was collective in time-spending type. Second, there were significant differences in leisure time, leisure expenditure and leisure life satisfaction according to socio-demographic and economic variables. Leisure time showed significant differences when housewife was unemployed, age of the lastborn child was under 13-18, occupation of husband was service, educational attainment of housewife was under highschool graduate, income was higher. Leisure expenditure showed significant differences when housewife was 30's, size of family was under 3, age of the lastborn child was under 6, occupation of husband was senior officials and manager, educational attainment of housewife was over junior college graduate, pattern of housing was collective, income was over 5,000,000 won. There were significant differences that housewife was unemployed in leisure life satisfaction. Third, casual effect was path analysed according to path model. Employment and unemployment of housewife, income and occupation of husband (product & transport equipment operator) had an effect on phycial type. Age of housewife, employment and unemployment of housewife and occupation of husband (product & transport equipment operator) had an effect on children-concerned type. Age of housewife had an effect on social-concerned type. Education of husband, income, age of lastborn child and occupation of husband (professor and teacher) had an effect on self-developing type. Age of lastborn child, employment and unemployment of housewife and occupation of husband(product & transport equipment operator) had an effect on children-concerned type. Age of lastborn child and children number had an effect on religious-social type. Employment and unemployment of housewife had an effect on home-oriented type. Age of housewife, education of husband had an effect on time-spending type. Restful type, employment and unemployment of housewife, and occupation of husband(service) have an effect on leisure time. Income, leisure time, self-developing type, children concerned type and occupation of husband(senior officials and manager) had an effect on leisure expenditure. Leisure expenditure, self-developing type, employment and nemploymentof housewife, income had an effect on leisure life satisfaction.

• Journal of Environmental Health Sciences
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• v.17 no.2
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• pp.54-66
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• 1991

As a result of measuring illumination and making up a question at home visit directly by investigator who trained over twenty days period from October 4 to 24, 1990, in order to render help which illumination problem against house, society against eyes or framing of health instruction potgram by seizing natural lighting actual conditions of house and actual conditions of wearing spectacles and by investigating interrelationship, I can summarize as follows. 1) In property of investigation subject, woman 66.9%, In an age, the twenties was largest of 27.4%, the forties was 20.2%, the fifties was 18.6%, the thirties was 17.4%. In academic career, those of upper secondary school grauates was largest of 28.6%, those who possess university career was 25.9%, those who middle school career was 20.9%, decoding of Korean alphabet was 2%. 2) By a residence area, a big city was 43.3%, farming and fishing villages were 20.3%, the rest was a small town and the administrative office of town, township. In positon of house, the middle area was 43.6%, resident of suburb area was 38.0%. In form of house, a Korean-style house was 40.8%, a western-style house was 34.8%, an apartment house was 11.0%. In the a standard of living, the middle classes 77.2%, the lower classes were 15.3%. In residential house unit of area, from 21 to 30 unit of area was largest of 31.5%, from 10 to 20 unit of area was 19.9%, from 31 to 40 was 18.7%. 3) The wearing spectacles rate of study user was 44.1%. By the area, those who wearing spectacles was more than a half of 50.8% in the resident of big city area. As passing from the farm area to the city, that is being resident of big city was high wearing spectacles rate. In position of house, as being residence in central street showed high wearing spectacles rate. (central street was 51.5%, the middle area was 44.5% and the suburb area was 40.1%.) It seemed similarity difference a variable by position of house from wearing spectacles in standard of 1%. By form of house, wearing spectacles rate those who resident in apartment house was 49.5%, that rate those who resident in a western-style house was high of 49.0%, that rate those who resident in a Korean-style house was the lowest 39.0%. By social position of resident in room, in students case who study showed very high, as university students were very high of 62.3% idn wearing spectacles rate, middle and high school students 'were 50.0%, members of society were 47.6%, workers 20.3%. It seemed similarity difference from academic career in standard of 1%. By an age, the thirties was high of 54.1% in wearing spectacles rate, the twenties was 43.2%, the teenage was the lowest of 11.8%. 4) In illumination of study, over 200Lux was high of 40.1%. but below 99Lux which inappropriate illumination to see the books was 32.4%. Average by area, below 99Lux was 22.7% and over 400Lux was 50.0% in case of wooden floor. As examine by area, below 99Lux was high of 27.0% a case of wooden floor in the big city area, it was not good in illumination passing from the farm area(15.0%) to the city(19.0%). Average illlumination by area of the main living room below 99Lux was high of 37.5%, less than 200Lux was 58.5% of whole. In general, illumination of the main livingroom was inappropriate. By area, the big city was 32.5% below 99Lux, the middle and small city area were 33.8%, town and township area were 45.0%, farming and fishing area were 42.8%. By area, in the big city, illumination of study was 52.5% over 200Lux and 28.9% below 99Lux. In case of the middle and small city, study user of below 99Lux was 38.8% and over 200Lux was 46.9%. In case of the seat of town township, below 99Lux was 34.1% and over 200Lux was 39.7%. In case of farming and fishing area, illumination of study was 33.4% below 99Lux and 48.4% over 200Lux. It tends to high rate of inappropriate illumination. 5) By position of house, in case of wooden floor, less than 100Lux was 24.5% in central street. It was bad illumination than others position of house. In case of the main livingroom, less than 100Lux was 40.4% in the suburb area. It was bad iliumnation than others position of house. In case of study, less than 100Lux was 35.4% in the middle area, it was worse in illumination. In case of the main living room, is seemed similarity difference in standard of 1%. 6) By form of house, in case of wooden floor, illumination of less than 100Lux was 23.8% in a western-style house, it was bad illumination than others form of house. In case of the main livingroom, illumination of less than 100Lux was 47.4% in a Korean-style house, it was remarkably bad illumination than others form of house. In case of study, a Korean-style house was 38.8%, it was very bad illumination than others form of house. In case of the main livingroom and study, it seemed similatrity difference each as P < 0.01 and P < 0.05 in standard of 1%. 7) The wearing spectacles rate of those who use room of illumination over 400Lux was 40.7%, and that of those who use room of illumination less than 100Lux was 28.1%. It seemed similarity differecce in standard of 1%. 8) In period of wearing spectacles, 21.3% of total investigator-highest-was from before five years, 8.6% was from before three years. Among those who use of illumintion less than 99Lux, 34.0% began to wear spectacles from before two years 31.7% was from before five years, 30.3% was from before four years. It seemed similarity difference from period of wearing spectacles by illumination in standard of 1 %. 9) Among cause which sight grow worse, the first was that it was each 33.2% and 27.4% in response rate because watch TV nearly to wearing spectacles person and non-wearing person. The second was that a lot of seeing books was 25.3% in wearing spectacles person and response rate for dark illumination was 7.4% in nonwearing spectacles person. It seemed similarity difference in standard of 1%. (P < 0.01). 10) In experience which take medicine good for eyes, it was 50.1% in wearing spectacles person and 8.5% in non-wearing spectacles person. It seemed similarity difference in standard of 1%(P < 0.01). As we have seen above, inappropriate illumination can be a cause of wearing spectacles. Nevertheless, actually, is realities to indifferent against illumination of house. So it must learn knowledge about health obstacle of illumination through society instruction and school eduction against students as well as general residents. In case that natural lighting is inappropriate structural of house, we must be able to maintain appropriate illumination through artificial illumination. And so eyes which is core of human life have to be protected, related the authorities, related group, and all health medical personnel will organically cooperate with and make efforts.

• The Journal of Internal Korean Medicine
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• v.13 no.1
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• pp.46-60
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• 1992

Clinical observation was done on 496cases of the Out-patients and 136cases of the In-patients more than 65 years of age in Department of Internal Medicine, Oriental Medical Hospital in Dong Guk Univ. from March 1991 to February 1992. The results were as follows; 1. The ratio of senile (more than 65 years of age) was 16.4% in total Out-patients, was 38.1% in total In-patients. 2. The ratio of male to female was 1:1.1 in the Out-patients, In-patients was 1.2:1. The age distribution showed the large number in the 65-69 year group, the female more than the male in 70 th's group. 3. The diagnostic distribution was noted in the Out-patients as follows, Respiratory Dis. 50.6%, Cardiovascular Dis 16.4%, Brain Neurogic Dis. 14.5%, Gastrointestinal Dis. 8.1%. in the In-patients. Brain Neurogic Dis. was 76.5%, Cardiovascular Dis was 19.8%. 4. The ratio of the season distribution in the Out-patients was as follows, spring 40.2%, winter 21.2%, summer 20.9%, in the In-patients. winter was 35.9%, autumn was 25.0%, spring was 19.9%. 5. The utilization of therapeutic clinic before coming the Oriental Medical Hospital in Dong Guk Univ, was as follows, the ratio of the Out-patients was noted a hospital or clinic was 57.1%, no-treatment 22.9%, a oriental medical hospital or clinic was 8.3%. In the admission was noted no-treatment was 38.3%, a oriental medical hospital or clinic was 35.3%. 6. The ratio of the periods from onset to Out-patients department was noted within 5days was 7.3%, over 1 year was 52.6%. In the admission was noted within 1 day was 41.9%, within 7 days was 71.8%. 7. The ratio of the therapeutic periods in the Out-patients department was noted within 10 days was 48.3%, over 60 days was 7.1%. 8. The ratio of the admission periods was noted within 10 days was 45.6%, the median of the admissio was 10.8 days. Brain Neurogic Dis's median was 20.2 days. 9. The therapeutic result was noted the case of improvement was 75.7% in the admission. 10. The ratio of the Out-patients department after discharging was 53.7%, in the case of Brain Neurogic Dis. was 60.7%.

• PNF and Movement
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• v.6 no.2
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• pp.19-30
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• 2008

Purpose : This study was performed for find out temporal spatial parameter of the gait according to age. Method : Four groups of healthy people were allocated randomly in this study : group I(little child, 15), group II(child, 18) and group III(young people, 17), group(elder people, 16). This study was performed from 01 December to 31 December in 2007. Results : The results were as follows : 1. The swing phase was the longest group II, group IV was the shortest. Each groups, there was significant difference in swing phase(p<.05). 2. The stance phase was the longest group IV, group II was the shortest. Each groups, there was significant difference in stance phase(p<.05). 3. The single support time was the longest group II, group IV was the shortest. Each groups, there was significant difference in single support time(p<.05). 4. The double support time was the longest group IV, group II was the shortest. Each groups, there was significant difference in double support time(p<.05). 5. The gait velocity was the fastest group II, group I was the slowest. Each groups, there was significant difference in gait velocity(p<.05). 6. The toe in/out was very increased group IV, group I was very decreased. Each groups, there was significant difference in toe in/out(p<.05). 7. The cadence was the highest group I, group IV was the lowest. Each groups, there was significant difference in cadence(p<.05). 8. The step length was the longest group III, group I was the shortest. Each groups, there was significant difference in step length(p<.05). 9. The step length asymmetry ratio was the highest group IV, group III was the lowest. Each groups, there was no significant difference in step length asymmetry ratio(p>.05). 10. The single support time asymmetry ratio was the highest group I, group IV was the lowest. Each groups, there was no significant difference in single support time asymmetry ratio (p>.05). 11. The FAP was the highest group III, group I was the lowest. Each groups, there was significant difference in FAP(p<.05).

• Korean Journal of Health Education and Promotion
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• v.14 no.2
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• pp.159-169
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• 1997

This research has been produced by asking 274 department of health students and 232 students majoring industrial department from 27. Aug. 1997 to 05. Sep. 1997 and the results are as follows. 1. Satisfaction level on the contents was good, as you see the department of health part's level was 3.22 and the industrial part's level 3.14. 2. Satisfaction level on the practice circumstances was of low, department of health part's level was 3.25 and the industrial part's level was 2.82. 3. Satisfaction level on the length of practice time was as follows: Department of health part's level was 3. 25 and the industrial part's level was 3.08. 4. Satisfaction level on the teaching skill during practice was totally different each other: Department of health part's level was 2.10 and the industrial part's level was 2.76. 5. Satisfaction level on the evaluation and personal relationship was as below. Evaluation-department of health part's level was 2. 57 and the industrial part's level was 3.17. Personal Relationship-department of health part's level was 2.60 and the industrial part's level was 3.15. 6. Total satisfaction level was as follow: department of health part's level was 2.74 and the industrial part's level was 3.04. The satisfaction level for the student of industrial part was higher them that of health part.

• Plant Resources
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• v.2 no.2
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• pp.88-95
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• 1999

These experiments were conducted to evaluate the variability of seed germination and seedling growth with different levels of polyethylene glycol(PEG 6,000) solution in onion seed. Average germination percentage of seed primed in PEG solution with 1.00 and 0.75 MPa was higher than control, and that of seed primed in 1.50MPa was lower than unprimed control. Germination percentage(GP) of seed primed for 5 days was highest, and as the primed days become long, the GP was decreased. The GP of airation seed during the primed was higher than that of unairation seed, about 5% , respectively. The GP of washed seed after primed was higher than that of unwashed seed, but that of redried seed after primed was lower than that of the others. The highest GP cultivar was Chunjoogoohyung and the lowest GP cultivar was Seouldego in unredried seed after primed, but Chunjoojoonggo was highest and Jungpoonwhang was the lowest cultivar in redried seed after primed. As the PEG concentration increased, the seedling length(SL) was shortened, and seed primed for 15 days was longer than other treatments. The SL of primed seed was similar to GP. The SL of washed seed after primed was longer than that of others, but that of redried seed after primed was shortest among the others. The SL of Chunjoojoonggo and Nongwoodego was longest and Seouldego was shortest among the cultivars in unredried seed after primed, but that of Chunjoogoohyung and Chunjoojoonggo was longest and Seouldego was the shortest cultivars in redried seed after primed.