• Korean Journal of Oriental Medicine
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• v.6 no.1
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• pp.29-46
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• 2000

The clinical application of constitutional Diagnosis is the most important part of Sasang constitutional medicine. It has been studied in various way. The study of morphologic characteristics on the head and face has been identified but didn't considered the Variations of age and sex. For the statistic analysis of the correlation between the sasang constitution and the shape of the face, the head-facial part of 182 cases(the group of throughout the age) and 69 cases(the group of age 30 to 40) were measured by Martin's measurement and analysis of a) the measurement value of height and the component ratio from the Gnathion to each part of face by constitution. b) the measurement value of depth and the component ratio from T-projected to each part of the face by constitution. c) the measurement value of breadth and component ratio between each parts of the facial breadth by constitution. d) the characteristics on each part of face by constitution. e) the result of discriminant analysis about the constitution Authors obtained the results from the study as follows: 1. Taeum-In group is characterized by the value of variables had a tendency to maximum value in throughout the age, the charateristics that the total group show is the shape of face is wide shape in horizontally and flat, the nasal breadth is wider than other constitutions, the lips is narrower than Soyang-In in horizontally and thick shape in vertically, and the biogonial breadth is more developed than other constitutions, so lower face is developed. The charateristics that only the age of 30 40 group show is that the lips is thicker than Soeum-IN. The projection of inter-eyebrows is more projected than Soyang-IN. 2. Soeum-IN group is characterized by the value of variables had a tendency to minimum value in throughout the age. The characteristics that the total group show is the lips is thiner than other constitutions, the breadth of eyes is wider than other constitutions, the difference between sellion and nasal breadth is to be little. The charateristics that only the age of 30 40 group show is that the ratio of upper face in physiognomic face is lager than Soyang-IN. 3. The total age group of Soyang-In is characterized by the shape of face is long in vertically and narrow in horizontally, the total eyebrow breadth and lips and philtrun is wider than other constitutions. The charateristics that only the age of 30 40 group is characterized by the projection of sellion is more projected than Taeum-IN. 4. The values which showed significance in both age group V76, V52, V54, V55, V57, V59, V64, V65, V67, V88, V89, V148, V150, V151, V155, V160, V161, V28, V50, V99, V102, V167, V169, V173, V175, V177, V181 are 27 in all. 5. The values which was significant in the age 30 to 40 group V77, V78, V79, V109, V140, V142, V143, V166, V174 are 9 in all.

• The Research Journal of the Costume Culture
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• v.10 no.6
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• pp.697-708
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• 2002

The purpose of this study deals with the profitable suit image design of middle-aged men by examining visual effects in physical design. The sample of this study is people who live in Kwangju, Korea and 20∼50age's men and women. And it is very variety in each population statistics factors the differences of physical design visual effect which considering the difference of sex and age, numbers of button, a figure and material pattern. The method of this study is experimentation. Accordingly, I used convenience sampling by considering sex and age distribution with the SPSS program for the data analysis. The difference of body design visual effect brought follow conclusion by demographics variability. The distinction of body design by sex and numbers of button, shoulders have similar differences only in men's group. The length has it both in man and woman's group. The dissimilarity of body design by age and the number of button, the shoulders have similar differences in 30 between 40 aged group and the abdomen has it in 30 aged group. The length has it in 20 between 40 and 50 aged group. In the three factors of body design by sex and shape either sex and pattern, both man and woman have similar differences by the pattern. Totally, number of button and pattern are very important clothes due to give an effect on whole visual effect man's suit. Also, these dues were felt differently by each types of body. Therefore, it is confirmed that the type of body is important that fluent to make people perceive.

• 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.

• Archives of Craniofacial Surgery
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• v.24 no.5
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• pp.211-217
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• 2023

Background: Oral cavity cancers, the second most common type in India, are responsible for 10% of the overall cancer burden. With a recurrence rate of 30% to 40% and a 5-year survival rate of 50%, these malignancies account for substantial morbidity and mortality. Despite advances in treatment modalities, survival rates following treatment completion have not improved significantly. The present study aimed to establish specific epidemiological and pathological factors responsible for recurrence after treatment completion in buccal mucosa cancers. Methods: A retrospective analysis of the data of 116 patients treated for biopsy-proven cancers of the buccal mucosa was undertaken 1 year after treatment completion. Factors such as age, sex, education, lymphovascular invasion, extranodal extension (ENE), perineural invasion, depth of invasion, and pathological margin status were compared between patients who presented with recurrence and those who did not. Statistical significance was set at p< 0.05. Results: Of the 116 patients, 40 (34.5%) developed a recurrent disease within 1 year. The mean age of the study population was 43.3 years, and males constituted 91.4% of the included patients. Ipsilateral buccal mucosa was the commonest site of disease recurrence. Neck node metastasis, ENE, and margins of resection < 5 mm were significantly related to the recurrence of disease. However, surprisingly, lymphovascular invasion, perineural invasion, and depth of invasion > 10 mm did not show statistically significant associations. Conclusion: Neck node metastasis, ENE, and margins of resection < 5 mm were the histopathological factors associated with recurrence in cancers of the buccal mucosa.

• Journal of Technologic Dentistry
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• v.11 no.1
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• pp.23-34
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• 1989

The great sudenn change of circle of dental laboratory technology brought mary discord between the new growing environmental group and the old group, In order to know the satisfactory degree of dental laboratory heads about all dental College, This Study was conducted for 49 detal technicians who graduated from junior laboratory heads in Seoul and Kyoung Gi area. The results are abtained as follow- 1. By age The degree of Satisfaction of items about all graduate dental technician were "41$\sim$45 age" group 26.53%), "46$\sim$50 age" group 22.45%, "36$\sim$40 age" group 18.36%, "31$\sim$35 age" group 12.24%, "51$\sim$55 age" group and "56$\sim$60 age" group 8.16% 60$\sim$age group 4.08% in order. 2. By Job Career. The Highest degree item out of Satisfaction about all graduated dental dental technician was 21$\sim$25 years group 28.5%, 16$\sim$20 years 20.4%, 11$\sim$15 years group 12.24%, 26$\sim$20%, 6$\sim$10 years group 4.08%, below 5 years group 2.04% in order. 3. By managing term of respondent's dental laboratory. The Satisfactory degree of items about all gradate technician were 7$\sim$10 years group 36.73% over 15 years group 22.45%, 11$\sim$14 years group 20.41%, 3$\sim$6 years group 14.29% below 2 years group 6.12% in order 4. By dental technician number of respondent's dental laboratory. The satisfactory degree intems about man were as follow; 6$\sim$9 persons group is 42.86 % The Satisfactory degree items about woman were one persons group in 34.69% 5. By born place The dental laboratory heads mean of inters about all dental technician were Seoul group 20.64 %, Kyoung Gi 17.20 %, Jen Nam group 14.99 % Chung Nam 9.5%in order 6. The satisfactory degree of items about all graduate dental technician were neither good nor bad group 32.65%, bad 6.12%, By ability of adaptaton, The satisfactory degree items about man were neither good nor bad group 42.86%, bad group 40.82%. The satisfactory degree of items about woman were neither good nor bad group 40.82% bad group 36.73%. 7. By sincerity. The satisfactory degree of items about man dental technician who graduated from Junior College were neither good nor bad group 52.02%, bad group 4.08, The satisfactory degree about woman dental technician graduated from Junior College were neither good nor bad group 42.86%, bad group 6.12%. 8. By ability of basical of items about man were bad group 40.82 %. The satisfactory degree about woman were 46.94%. 9. By cooperation relation ship. The satisfactory degree of items about man were neither good nor bad group 42.86%, bad group 10.20%. The satisfactory degree about woman were neither good nor bad group 42.86%, bad group 10.20 %. 10. By ability of work. The satisfactory degree of items about man were neither good nor bad group 48.98%, bad group 4.08%. The satisfactory degree about woman were neither good nor bad group 42.86%, bad group 6.12 %. 11. By the curriculum of the dental technician. The satisfactory degree of items about man were neither good nor bad group 67.35%, bad group 2.04%, The satisfactory degree about woman were neither good nor bad group 61.22%, bad group 6.12%. 12. By occupational satisfaction. The satisfactory degree of items about all graduate dental technician were fatisfied group 14.29%. By the out look of employment. The satisfactory degree of items about man greduate dental technician were neither good nor bad group 34.69 %, bad group 10.20%, about woman graduate dental technician were neither good nor bad group 44.90%, bad group 10.20%, Their employment prospect is not so bright or oprimistic due to the glut supply by graduates in the job-seeking market 13. The satisfactory rate on the artificial dental manufacturing world in terms of effects produced by juror College graduate dental technicians shared good group 40.82% bad group 2.04% 14. By cognition of the number of graduate dental technician. The satisfactory degree of dental laboratory heads about man graduate dental technician were too many group 38.78%, few group 6.12% about woman graduated dental technician were neither good nor bad group 30.6% few group 10,20%, The employment opportunities for the artifical dental technicians are getting decreased because of their excessive cumber in supply 15. The opinion regarding the initial salary. ranging from \160,000 to \200,000 for the junior college graduate dental technicians shared 57.14%. The top ratio, while the satisfaction reate on the academic study period of "3-year" group shared 22%, also the top ratio. 16. The improvement policy and prblematic issues presonted by the owner and operatore of atriticial dental manufacturing plants are as shown below First; The viewpoint that they contribute to the improvement of people's oral health in terms of their mission as artificial dental technicians. Second: The cultivation of basic technical ability to cope with clinical practice upon graduation Third; They require guidance in study and research in their filed of profession, that tray may beable to estaclish a from theory.

• Korean Journal of Health Education and Promotion
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• v.6 no.1
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• pp.48-59
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• 1989

The study was designed. to analyse the factors effecting to smoking and drinking of community people in rural area. The study has been surveyed through interviews by trained college students for 1,846 residents who live in rural area(Eup or Myun office is located)for 20days(from 3rd. to 22M. in August, 1988) The summary and conclusions are as follows. 1. The number of answers on the questionaires was 1846. And the percent of man was 55.7 %(woman 44.3 %). Among age group 20-29 years group with 30.4 % was larger than any other group. Anaverage age of answers was 38.6 years. 2.In the period of residence, 21.5 % of the residents lived within 5 years(This group was larger than any other group). In occupations, workers in agriculture and fishing was more than other job occupants. In education, the percent of high school graduates was 44.0 %(higher than any other group) 3.The smoking rate of rural residents was 41.8 %and man's smoking rate was 76.0 % (woman's smoking rate was 7.6 %). These rates were higher than the rates in 1985 (The smoking rate of nation was 32.0 %). First of all, woman's smoking rate increased rapidly 4.As for smoking amount, in male 52.8% of smokers smoked a cigarette case (20 cigarettes) in a day, and 16.9 % of smokers smoked more than one cigarette case. In female 42.5 % of woman smokers smoked a half case in a day and the rate of non-smokers diminished to 77.8 % 5.The rate of non-smokers in 21-29 years group was higher than any other group and a smoking rate increased as an age increased. However, a smoking amount decreased as an age increased. This suggests that people are more concerning about their health as their ages increase.. 6.The smoking rate of college graduates was 58.8 %(higher than any other group) and in a smoking amount 36.4 % of college graduates, 29.8 % of high school graduates smoked more than a cigarette case in a day. This shows that people in a higher education group smoke more than those in other groups. 7.As for non-smoking rate, students, service job workers, company employees, and teachers was 54.1%, 43.4%. 40.1% and 39.5%. respectively. As for smoking rate, workers in agriculture and fishing was the highest level of all job employees. Public officers smoked less than the workers in agriculture and the smoking rate of teachers was less than that of public officers. with regard to smoking amount. above one cigarette case in a day was 39.9 % in public officers, 39.2 % workers in agriculture and fishing, 37.9 % in businessmen, 34.2 % in teachers, 31.9 % in service job employees and 31.6 % in a company employees. 8.The variables which had an effect on smoking were sex (B=.1701), job(B=.1688), education(B=.1671), age(B=.1125). These variables were significant in P＜0.05 statistically. Explanatory variance level was 19% 9.The drinking rate of community residents was 61.8% and man's drinking rate was 81.7%(woman's drinking rate was 38.9%). As drinking rate 18.0%(the highest rate) of man drinkers drank 3 bottles of beer in a general drinking and 12.1% of them drank more than 10 bottles. 12.1% (the highest rate)of woman drinkers drank 2 cups of beer. The rising rate of woman's drinking of alcohol was remarkable. 10.Each non-drinking rate of age groups was 27.6% (in 20-30 years group), 28.0% (in 30-39 years group), 28.9%(in 40-49 years group) and 32,6%(in 50-59 years group), 10,7%(the highest rate) of 20-29 and 30-39 years groups drank above 3 bottles. 7.5% of 20-29 years group and 7.7% of 30-39 years group drank above 10 bottles. In 40-49 years group, 14.4 % of them drank a bottle and 8.1% of them drank above 10 bottles. In 50-59years group, 14,2% of them drank 2 bottles and 5.3 % of them drank above 10 bottles. This shows that a drinking rate decresed as an age increased. 11.Non-drinking rate was higher as an education level was lower. Each non-drinking rate of non-educated group, elementary school group, middle school group and high school group was 41.0 % of high school graduates and 14.5 % of college graduates drank 3 bottles of beer. 9.7 %(the highest rate) of college graduates drank above 10 bottles, in general drinking. 12.Each non-drinking rate of businessmen, farmers, service job workers, and students was 31.3%, 28.2%, 26.8% and 25.9%. However, Each drinking rate of public officers, company employees and teachers was 73.3 %, 72.2 % and 68.4 %. This tells us that the drinking rate of mental workers is higher than that of physical workers. 14.9 % of farmers and 14.4 % of public officers drank 3 bottles at a time. 10.5 % of teachers and 9.9 % of public officers drank above 10 bottles. 13.The variables which affect on drinking were sex(B=.1545), education(B=.1476), job(B=.1064), and age(B=.1052). These variables were significant in the level of 0.05 % and explanatory variance level was 18 %. 14.Government have to educate people and demonstrate the health hazards caused by smoking and over-drinking. Especially, No-smoking campaign for woman and education not to over drink for professional job workers are necessary.

• Journal of the Korean Home Economics Association
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• v.9 no.2
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• pp.17-29
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• 1971

Korean foods sold restrant and hotel accompaines so many kinds of side dishes. The menues never considered on the nutritional standpoint nor the volume that can be eaten by customers. The purpose of this study is to simplify and improve the menu of Korean foods sold in restrant. To find out the problem and the method of the betterment Korean food sold in restrant. The survey study was made for 100 restrants in Seoul city. Ther average number of side dish of the restrant food was 23. The average amount number of the side dish was 31 and smallest number was 4. The average amount of food served was 979 grams and the average number of food taken by people was 698 grams. The average percentage of intake of food was 62%. Protein Content of the foods sold restrant was from 54% to 240% over the recommended dietary allowances. Protein intake also exceeded from 19% to 147% of recommended dietary allowances. Age of the customers were surveyed to set up the standard amount of the nutrients. About 68% of the customers were from 30 to 40 years of age in the day time (lunch), whereas about 72% were from 20 to 30 years of age in the evening (supper). From the results of the survey study, two nutritional standard were decided to be used. One is the recommended dietary allowences of 25 years of man (reference man), and the other is that of 45 years of man. The actual standards are as follows : Standard 1 (25 years of man) Calories-900~1000Cal Protein-25-30g Vegetables-200~250g (include yellow, green vegetable), Amount of food-about 800g Standard 2 (45 years of man) Calories-700~800Cal Protein-25~30g Vegetables-150~200g (include yellow, green vegetable) Amount of food-700g The kinds of food recommended to be sold in the restrant are as follows : 1. Pansang-is a formal method of korean table setting 3 types, 7 chup, 5 chup, and 3 chup were studied and made, 2. Table for the quest with drink-2 types of table setting, 9 kinds of food and 7 kinds of foods were studied. 3. free meal-in this table, one pig protein dish with kimchi, one vegetable, and one salty flsh will be served, 19 kinds of foods were studies. 4. One dish meal-in one large dish, rice will be served with side dishes soup and kimch will be accompanied, 10 kinds of foods were studied. 5. Cafeteria style foods-one serving of food will be served in small dishes Customers should select the food want to eat.

• The Journal of the Korean dental association
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• v.19 no.1 s.140
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• pp.40-44
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• 1981

This study is proposed to analyze statistically the causes of extraction of permanent teeth among outpatients who visited our dental department of Sung-Sim Hospital, Chung-Ang University from Jan. 29th 1979 to Nov. 30th 1980. the results are as follows. 1. The group of patients aged 25-34 had more number of extracted teeth than any other age group. 2. It was found that woman's (0.13) was more than man's(0.9) in average number of extracted teeth per patient. 3. In analyzing the causes of extraction, it was identified as caries 37.5%, periodontal diseases 27.2%, wisdom teeth 17.6%, for orthodontic treatment and impacted supernumerary teeth and others 8.0% trauma and fracture 4.2%. 4. The primary cause of extraction was found to be changed from caries to periodontal diseases according to the increase of age. 5. The number of teeth that were extracted by trauma was found that man's (38) was more than twice as much as woman's (17) and the group of patients aged 35-44 had the most number of all age groups.

• Journal of Korean Ophthalmic Optics Society
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• v.11 no.3
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• pp.187-192
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• 2006

The purpose of this research was to measurement real accmmnodative response amount of emmetropia using both eyes open-view auto-refractometer. We classified 377(male 146, female 231)eyes showing good naked vision at least 1.0, with a spherical equivalent refraction of under ${\pm}0.50D$ and cylindercal refraction of under -0.75D, from 10 to 59(mean $25.8{\pm}12.4$) years into 5 groups with 10 year interval and analyzed change of the near astigmatism and accommodative response amount to distinction of age. Age comparison, total mean 1.47D, 10 years age group 1.63D, 20 years age group 1.57D, 30 years age group 1.71D, 40 years age group 0.97D, and 50 years age group 0.05D. It was no difference between 10 to 30 years age group, But it showed the decre8.se which is remarkable from above 40 years age group and it does not almost response from above 50 years age group. Sexual difference, the man appeared some highly in male(mean $26.4{\pm}12.3$ years) 1.56D m female(mean $26.4{\pm}12.3$) 1.43D. Near-astigmatism power change, mean +0.12D, 10 years age group +0.06D, 20 years age group +0.16D, 30 years age group +0.09D, 40 years age group +0.05D, and 50 years age group +0,06D. No significant difference of astigmatism powers among the an groups, but from all years age group the astigmatism power appeared more highly far-astigmatism than near-astigmatism. Near-astigmatism axis change in the far-astigmatism changes at under ${\pm}10^{\circ}$ 103 eyes, above ${\pm}10^{\circ}$ rotation clockwise direction 108 eyes, above ${\pm}10^{\circ}$ rotation counter-clockwise direction 101 eyes. It was analyzed near-astigmatism axis change.

• The Journal of Korean Society for School & Community Health Education
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• v.16 no.2
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• pp.17-31
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• 2015

Objectives: This study aimed to analyze the relationship between metabolic syndrome and cataract in a middle-aged men over the age of 40's by using the data from the 5th Korean National Health and Nutrition Examination Survey(2010~2012). Methods: The subjects for the analysis were comprised of 5,808 patients who were at least 40 years or more with metabolic syndrome and cataract. The comparison between the metabolic syndrome and ophthalmic diseases according to the health demographic characteristics, health behavior and health conditions was analyzed with ${\chi}^2-test$. The complex samples logistic regression analysis was used to calculate the odds ratio of cataract according to the health demographic characteristics, health behavior and health conditions and the combination of the comprising factors of the metabolic syndrome. Results: After controlling the confounding factors, the odds ratio of cataract in the metabolic syndrome group was OR 1.30, which was significantly high (p<0.01). Furthermore, the odds ratio of cataract was significantly high in the case of males, as the age increased, educational level decreased, with exercising habits of less than 3 days a week, sun exposure of at least 5 hours, with hypertension and diabetes (p<0.01). The results of analyzing the odds ratio for the occurrence of cataract with the components of metabolic syndrome were OR 1.36 (concurrent high fasting blood glucose, high triglycerides, low HDL cholesterol), OR 1.63 (concurrent high fasting blood glucose, high triglycerides, high waist circumference) and OR 1.33 (high triglycerides, low HDL cholesterol, high waist circumference), which showed significantly high odds ratio for cataract occurrence (p<0.05). Conclusions: We come to know that the relation between metabolic syndrome and components are associate with cataract. Therefore the thorough management of metabolic syndrome and components is needed to prevent cataract.