• Journal of Periodontal and Implant Science
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• v.24 no.3
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• pp.458-471
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• 1994

To evaluate the periodontal status of Korean adults, 3,988 adults(20-69 years old) who lived in Kwangju, Chonnam, Taegu, and Kyungbuk districts were periodontally examined by plaque index(PI), calculus index(CI), gingival index(GI), periodontal disease index (PDI), and papillary bleeding index(PBI). The periodontal examination charts were grouped according to age and sex. And subsequently 200 periodontal examination charts in each age group were randomly selected according to sex. The differences of the indices among age groups and those between male and female in each age group were statistically analyzed by Chi-Square test. In PI, CI, GI, PDI, and PBI, there was no statistical significance in the difference between male and female in each age group(p>0.05). In male, PI of 60s age group($1.44{\pm}0.68$) was significantly higher than that of any age group(p<0.05), and in female PI of 20s age group($0.86{\pm}0.39$) was significantly lower than that of any other age group(p<0.05). CI of 60s age group in both male($1.67{\pm}0.70$) and female($1.63{\pm}0.91$) was significantly higher than that of any age group(p<0.05). GI of 20s age group in both male($0.85{\pm}0.66$) and female($0.67{\pm}0.60$) was significantly lower and GI of 60s age group in both male($1.37{\pm}0.60$) and female($1.44{\pm}0.84$) was higher than that of any age group(p<0.05). PDI in male was the lowest in 20s age group($0.70{\pm}0.73$), and was the highest in 60s age group($4.93{\pm}1.96$) (p<0.05). In female PDI of 20s age group($0.71{\pm}0.74$) was significantly lower than that of any age group(p<0.05). In male PBI of 20s age group($0.38{\pm}0.31$) was significantly lower than that of any age group(p<0.001). PBI in female was the lowest in 20s age group($0.35{\pm}0.30$) (p<0.001), and was the highest in 60s age group($1.09{\pm}0.76$) (p<0.05). The data insist that all the young populations of 20s age group should be interested in routine check for early diagnosis and prevention of periodontal disease, and a special education program of periodontal health care for young generation must be prepared, and the periodic recall check system for periodontal examination of middle age group must be supported by government.

• Journal of the East Asian Society of Dietary Life
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• v.16 no.1
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• pp.85-92
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• 2006

The purpose of this study was to investigate the correlation between glycemic load and blood lipid profiles in some Korean according to age: The subjects were divided into four groups based on the following age ranges; $10\sim19$ age group(n=260), $20\sim49$ age group(n=129), $50\sim64$ age group(n=135), over 65 age group(n=87). They were measured for the anthropometric measurements, dietary intakes, glycemic load and blood analysis. The average ages of the $10\sim19$ age group, $20\sim49$ age group, $50\sim64$ age group and over 65 age group were 10.9 yrs, 40.8 yrs, 57.1 yrs and 70.8 yrs, respectively. The food intakes were increased according to age in the younger two groups but decreased in the elder two groups. The energy and carbohydrate intakes were the highest in the $10\sim19$ age group. The averages of serum HDL-cholesterol levels of the $20\sim49,\;50\sim64$ and over 65 age group were significantly lower than that of the $10\sim19$ age group. The food intake of the $10\sim19$ age group was positively correlated to the glycemic load(p<0.001). The food and energy intakes of the $20\sim49,\;50\sim64$ and over 65 age group were positively correlated to the glycemic load. And the serum triglyceride and AI levels of the over 65 age group were positively correlated to the glycemic load(p<0.001, p<0.05). These results suggest the need for further research into the relation between glycemic load and blood lipids in order to ensure proper carbohydrate intakes.

• Journal of Korean Physical Therapy Science
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• v.2 no.1
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• pp.375-381
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• 1995

The purpose of this study was to investigate the muscle power and muscle endurance, situp and bend of back in age group and regional group. The mesurment of muscle power and muscle endurance was performed on 156 males and 160 fimales. The results of study were as follows. 1. Right grip showed significant difference by age group, but no significant differ ence by reginal group in male's case. 2. Left grip showed significant difference by age group but no significiant differ ence by regional group in male's case. 3. Back strength showed significant difference by age group and reginal group. 4. Sit-up showed significant difference by age group but no significant difference by regional group in male's case. 5. Bed of back showed significant difference by age group but no significant differ ence by regional group in male's case. 6. Jump showed significant difference by age group and reginal group.

• Journal of the Korean Society of Costume
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• v.60 no.6
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• pp.74-88
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• 2010

This study investigates the relevance between the subjective age and clothing shopping orientation by adults women located in the cities of Seoul and Gyeonggi. The results are following. First, subjective age was identified with interest age, look age, and physical age. Customers were segmented into following five subdivisions: young activity group, actual age group, young appearance group, physical aging group and youth-oriented group. When the study examined differences between real age and subjective age, the study could see that they perceived themselves younger four years than real age- 50s: 7 years, 40s: 5 years, the latter half of 30s: 2.7 years and the former half of 30s: 1.7 years. Second, clothing shopping orientation was identified with planned shopping orientation, leisure shopping orientation, loyal shopping orientation, economic shopping orientation and convenient shopping orientation. Customers were segmented into following three subdivisions: shopping low-involved group, loyal leisure group and planned leisure oriented group. Third, interest age was of no relevance to clothing shopping orientation. On the other hand, look age had negative correlation with leisure shopping orientation and convenient shopping orientation and physical age had a negative relationship with leisure shopping orientation and loyal shopping orientation but had positive correlation with economic shopping orientation. Fourth, in clothing purchase, clothing purchase answerers who were younger five years than actual age had the highest frequency. It means that they purchase clothing according to subjective age perceived younger four years on average.

• The Journal of the Korean life insurance medical association
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• v.4 no.1
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• pp.44-76
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• 1987

Present study was undertaken to establish the modified Broca's indices to estimate standard body weight by using a total of 5,496 insured persons who were medically examined at the Honam Medical Room of Dong Bang Life Insurance Company Ltd. from January, 1983 to January, 1986. The results were as follows: 1. The linear regression equations of body weight to $height^3$ to estimate standard body weight were as follows: In male, for $18{\sim}19$ age group $y=7.272{\times}10^{-6}{\times}x^3+23.560$ for $20{\sim}29$ age group $y=8.187{\times}10^{-6}{\times}x^3+22.031$ for $30{\sim}39$ age group $y=8.627{\times}10^{-6}{\times}x^3+23.169$ for $40{\sim}49$ age group $y=9.561{\times}10^{-6}{\times}x^3+20.994$ for $50{\sim}59$ age group $y=8.604{\times}10^{-6}{\times}x^3+23.081$ and for all ages group $y=7.778{\times}10^{-6}{\times}x^3+25.929$ In female, for $18{\sim}19$ age group $y=8.252{\times}10^{-6}{\times}x^3+18.920$ for $20{\sim}29$ age group $y=7.715{\times}10^{-6}{\times}x^3+22.409$ for $30{\sim}39$ age group $y=8.808{\times}10^{-6}{\times}x^3+21.440$ for $40{\sim}49$ age group $y=9.691{\times}10^{-6}{\times}x^3+21.940$ for $50{\sim}59$ age group $y=12.550{\times}10^{-6}{\times}x^3+11.031$ and for all ages group $y=7.300{\times}10^{-6}{\times}x^3+26.601$ In both sexes, for all ages group $y=8.342{\times}10^{-6}{\times}x^3+22.998$ 2. The modified Broca's index is expressed by formula $\{height(cm)-100\}{\times}K(kg)$. K is obtained from the following formula standard weight to average height estimated $\frac{by\;means\;of\;linear\;regression\;equation(kg)}{\{Average\;height(cm)-100\}{\times}K(kg)}$=1 Author's modified Broca's indices are as follows: In male, for $18{\sim}19$ age group $\{height(cm)-100\}{\times}0.85(kg)$ for $20{\sim}29$ age group $\{height(cm)-100\}{\times}0.90(kg)$ for $30{\sim}39$ age group $\{height(cm)-100\}{\times}0.95(kg)$ for $40{\sim}49$ age group $\{height(cm)-100\}{\times}1.00(kg)$ for $50{\sim}59$ age group $\{height(cm)-100\}{\times}0.95(kg)$ and for all ages group $\{height(cm)-100\}{\times}0.95(kg)$ In female, for $18{\sim}19$ age group $\{height(cm)-100\}{\times}0.90(kg)$ for $20{\sim}29$ age group $\{height(cm)-100\}{\times}0.90(kg)$ for $30{\sim}39$ age group $\{height(cm)-100\}{\times}1.00(kg)$ for $40{\sim}49$ age group $\{height(cm)-100\}{\times}1.05(kg)$ for $50{\sim}59$ age group $\{height(cm)-100\}{\times}1.05(kg)$ and for all ages group $\{height(cm)-100\}{\times}1.00(kg)$ In both sexes, for all age group $\{height(cm)-100\}{\times}0.95(kg)$ 3. Several types of modified Broca's index recommended by author are as follows: I. In male, for $18{\sim}29$ age group $\{height(cm)-100\}{\times}0.90(kg)$ and for $30{\sim}59$ age group $\{height(cm)-100\}{\times}0.95(kg)$ In female, for $18{\sim}29$ age group $\{height(cm)-100\}{\times}0.90(kg)$ and for $30{\sim}39$ age group $\{height(cm)-100\}{\times}1.00(kg)$ II. In male, for all ages group $\{height(cm)-100\}{\times}0.95(kg)$ In female, for all ages group $\{height(cm)-100\}{\times}1.00(kg)$ III. In both sexes, for all ages group $\{height(cm)-100\}{\times}0.95(kg)$ Note: The first type of modified Broca's index is the most precise one in estimating standard body weight among several types established by author. 4. Error of estimated standard body weight appearing by applying modified Broca's indices is generally greater in short build persons than in tall build persons and is more dominant especially in female group.

• Journal of the Korea Fashion and Costume Design Association
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• v.17 no.4
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• pp.101-115
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• 2015

The purpose of the study was to investigate differences in self-esteem, appearance satisfaction, and clothing benefit pursuit among middle-aged consumer groups according to the gap between their subjective age and real age. For the study, the questionnaire was developed by the author and distributed to male and female consumers in their forties or fifties on september 1~10, 2014. A total of 470 questionnaires was collected and used for the final analysis. Data were analyzed by frequency analysis, reliability analysis, factor analysis, cluster analysis, ANOVA and Tukey's test, using the SPSS 18.0 Package Program. The findings were summarized as follows. The respondents were clustered in three groups including a group with younger subjective age than real age, a group with same subjective age group to real age, and a group with older subjective age group than real age, The younger subjective age group and same subjective age group showed greater self-esteem and appearance satisfaction than the other group. There were significant differences in four factors of clothing benefit pursuit including pursuit of fashion, pursuit of youth, pursuit of leisure, and pursuit of conformity among these three age groups. The younger subjective age group and same subjective age group showed greater importance on pursuit of fashion, pursuit of youth, and pursuit of leisure, whereas the older subjective age group did on pursuit of conformity.

• Korean Journal of Health Education and Promotion
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• v.8 no.2
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• pp.74-86
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• 1991

This study tried to clear the characteristics of height growth pattern depending on Peak Height Velocity age in early, average and late groups. And in it, height growth tendency of girl students in age 7 to 18 years old was compared and investigated in order to know influencing factors, menarcheal age relation. The samples were senior girl students at high school in Seoul. Longitudinal data and survey data were collected in August, 1990. The results could be summarized as follows: 1. On distance curve, the height growth line in early group tended to be the highest and in late group the lowest. On the other hand, on velocity curve late group showed the highest peak and early group showed the lowest peak. In late group, velocity curve was too steep. Of course, these early, average and late groups were classified by PHV age. 2. In these three groups, late group showed the most growth amount per year. However, on distance curve, early group showed higher line than late group. Perhaps this means that peak growth amount in late group might have an effect on mean. 3. Growth amount of adolescence spurt age in these three groups was 6.86cm at age 9(early group), 7.27cm at l1(average group) and 7.65cm at 13(late group). In early group, because. PHV age came too early, it was difficult to find exact adolescence spurt period. In early group, the adolescence spurt period is considered to come at about age 7 to 9. In average group, at 9 to 11 and at 12 to 13 in late group. Especially, spurt of late group was remarkable. 4. When the growth amount of PA, before PA and after PA was compared, growth amount of PA in all three groups was about 20%. In early group, growth amount of APV tended to be large and in late group, that of APV tended to be large and in late group, that of BPV was large. In average group, growth amount of BPV was larger than that of APV. 5. For the purpose of comparing total height growth amount of these groups at age 18, the height growth was assumed to be over. And then, the difference of three groups was studied but it's not significant. 6. Although the difference between height growth and family environment, dietary habits, exercise, disease history in these three groups was investigated, only the income was significant. The significance of all the other factors was not approved. 7. When menarcheal age was compared with PA, generally we know menarche appeared after 1∼2 years of PHV age. But in case of early group, the difference between PHV age and menarcheal age was 5.34 years. In average group, 2.45 years and 0.82 years in late group.

• Journal of Preventive Medicine and Public Health
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• v.26 no.3 s.43
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• pp.387-399
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• 1993

This study was conducted to analyze blood lipid profile and other risk factors among crew members who are currently active and had more than 10 years of experience as crew members. Data was analyzed using medical record files in an airline medical department. The results are as follows. 1. The total number of crew members studied was 392. Among age groups, those below age 40 consisted of 26(6.9% of the total), those in age $41{\sim}50$ were 135 (34.4%) and those over age 51 were 230 (58.7%). 263 were former air force pilots consisting 66.9%. Those who had captain status numbered 21 I comprising 53.7% of the total. The type of aircraft most of the crew members involved were large size aircraft which totaled 268 (68.2%). With respect to the number of working years as crew members, 488(48.9%) comprised the largest group with $11{\sim}15$ years. 2. The rate of smoking among crew members has shown gradual decrease with 50.3% smoking in 1983 to 33.6% in 1993. Among $41{\sim}50$ age group the rate has shown a decrease from 20.9% to 13.3% In those group over age 51 it decreased from 25.5% to 16.6%. But group below age 40 were within the range of 3.6~3.8% with no significant change in the rate of smoking. 3. Body Mass Index in age group over 51 was slightly higher than other age groups. On the whole, BMI over 25 was not found. 4. The total cholesterol levels of those below age 40 were $196.9{\pm}38.5mg/dl,\;216.2{\pm}39.2mg/dl$ in ages $41{\sim}50$, and $225.1{\pm}42.5mg/dl$ in age group over 51. No significant difference was found among age groups. 5. HDL-cholesterol levels of over age 50 were higher than other age group and ranged from $40{\sim}55mg/dl$. 6. LDL-cholesterol levels of those over 51 were $126.7{\pm}37.7mg/dl$ higher than other age groups. But there were no significant changes in all age during 10 years of follow up. 7. Cardiac index of age group below age 40 was 3.8, 4.3 in age group $41{\sim}50$ and 4.5 in those over age 51 group. No significant changes among groups were found during the follow up period. 8. Triglyceride levels of age group below age 40 was $142.2{\pm}70.1,\;167.3{\pm}77.5$ in age group of $41{\sim}50$ and $113.6{\pm}897$ in age group over 50 showing that triglyceride levels increased with age. No significant changes in pattern were noted.

• The Journal of the Korean dental association
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• v.13 no.5
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• pp.457-461
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• 1975

The author observed the relationships beween the dental midline and the midsagittal plane by taking 242 cases P-A cephalo-graphy grouped by male and female 2-6 years age group, 7-15 years age group, and adult age group. The following results were obtained by the observation. 1. Generally, the median line almost coincided with dental midline ineach age group. 1. It showed som degree of deviation in each age group. 2. It showed some degree of deviation in each age group. 3. The some degree of deviation shifted in accordance with each age group. 4. In adult age group, the dental milline more coincided with median line in male than in female.

• Korean Journal of Health Education and Promotion
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• v.17 no.1
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• pp.81-93
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• 2000

This study is intended to investigate medication compliance and polypharmacy of the diabetic patients by age group in order to determine the major factors that influence their compliance. 198 ambulatory diabetic patients were interviewed, and the sample was divided into three groups based on the age: Young age group under 55, Borderline age group between 55 - 65, Old age group over 65. According to the study results, medication compliance for the old age group was 72.6% whereas 85.1% for the young age group. Medication compliance significantly decreased as the age of the patients increased. Also the degree of polypharmacy, the rate which patients take more than 6 prescription drugs, was 45.9% for the old group, whereas 31.2% for the young group. As the most important factor of polypharmacy, the number of doctors was statistically significant. With regard to prescription factors related to medication compliance, the amount of prescribed medication is statistically significant between the compliance group and non-compliance group. In addition, the amount of information provided to patients by pharmacists was determined to be a very significant factor. Also the level of ease in understanding the medication instructions varied significantly between the compliance group and the non-compliance group. In light of the empirical data and results for the diabetic patients, it is necessary to develop and implement various programs to improve medication compliance and to decrease the level of polypharmacy among the elderly, or "old", diabetic patients. patients.