• Journal of the Korean Home Economics Association
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• v.32 no.4
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• pp.57-71
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• 1994

The purpose of this research was to study the variables related to the stress and to provide the way of establishing better relationship between aged parents and adult offsprings and the way of effective care-giving. In order to achieve this purpose a survey was conducted by interview using questionaire. The collected data were analyzed by using frequency percentage mean standard deviation factor analysis Pearson's correlation analysis, ANOVA, and stepwise regression analysis. The results of this research were as follows: First The total points of daughter-in-laws' caregicing stress was 38.5 and daughter's caregiving stress was 27.3. Second There were meaningful differences according to living arrangement daughters-in-law age, old mothers' health status. And there were significant. interaction effects among variables of living arrangement and daughters-in-law' age, living arrangement and birth order birth order and old mothers' health status. living arrangement and daughters-in-law' age and old mothers' health status. Third There were meaningful differences according to living arrangement daughter's age. And there were significant interaction effects among variables of living arrangement and daughter's age, daughter's age and birth order, living arrangement and daughter's age and old mothers' health status, living arrangement and birth order and old mothers' health status. Fourth Among daughters-in-law' variables living arrangement age, old mothers' health status have influence on the care-giving stress. Among daughter's variables living arrangement, age, birth order have influence on the care-giving stress.

• Journal of Families and Better Life
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• v.20 no.6
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• pp.141-149
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• 2002

In order to promote well-being during old age, it is important to start preparing early on for the later life. Based on this thesis, this study examined attitudes of the middle-aged women residing in rural towns on their preparation for old age as well as related variables. For this purpose, survey data from 200 individuals were analyzed using a SAS program. The overall degree of preparation for old age was quantified as about 67 points out of a 100 possible points. The variables that affected the level of preparedness include attitude toward using a paid nursing home ($\beta$=.23), type of agricultural work they engage in ($\beta$=-.21), who do you think is a supporter during your old age($\beta$=.20)］, type of decision-making in the household ($\beta$=.17). The explanatory power of such variables as standards of living ($\beta$=.18), family type ($\beta$=-.18), recognition of the entrance of old age ($\beta$=.17), and preparation behavior for old age ($\beta$=.15) were partially proved in three sub-areas (economical, emotional, and leisure areas) of preparation. The groundwork of this study could be used as basic materials to develop an educational program to improve the attitudes toward preparation for old age.

• Journal of the Korean Society of Clothing and Textiles
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• v.15 no.2 s.38
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• pp.103-113
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• 1991

The purpose of this study was to investigate the effect of physical type and age on preference for line in women's clothing design. Line preference in clothing design was concerned with varying in length, direction, division, and shape. All of the preference measures were devised specifically for this study. Furthermore, items on height and weight for physical type as well as age of the subjects were included in the questionnaire. Data were obtained by means of structured interviews and self-administered questionnaires from 588 women ($20\~60$ years of age) in Seoul. Analysis was by One·way ANOVA, Chi-square ($X^{2}$), and Scheffe test. It was found that 4 categories of line preference were affected by both body type and height. An age effect was found on 3 categories of design lines; however, preference for 2 categories of design lines in clothing styles were unaffected by either physical type or age. It was concluded that body type, height, and age are powerful predictive variables for line preference in clothing design. Generally, there was some similarities in preference for lines among slim body types, tall figures, and younger age group as well as heavy body types, short figures, and older age group.

• Journal of Fashion Business
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• v.19 no.2
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• pp.1-22
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• 2015

This study provides the basic data for clothing construction of teen girls by researching and analyzing the characteristics of physical changes of tween generation school girls between 8 to 14 age. Fifty eight items of direct measurements and 61 calculated-items based on the 6th Korean National Physical Standard Reports were used. Results were obtained by using ANOVA, SNK test, coefficient of variation and growth rate of age groups. Significant differences were found among all the age groups, and were in the increasing order of height > length > width > depth > circumference. The growth rate was found in the increasing order of bust depth > hip width > N.P. to B.P. > hip circumference > bust circumference and thigh circumference. There were dramatic increases in height, circumference and width during the age of 8~9 and 10~11, in length during age of 10~11, and in depth during age of 8~11. The growth of the vertical measurement items is slowing at the age of 13. The individual differences were great in the vertical measurements at the age of 8 and 9 and in the horizontal measurements, at the age of 10. The increasing growth of bust and hip than waist gave it a curved shape.

• Korean Journal of Childcare and Education
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• v.17 no.5
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• pp.43-61
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• 2021

Objective: This study aimed to examine the sequential mediating effects of children's perceived maternal acceptance and peer acceptance in the relationship between maternal warmth and first grade children's school adjustment. Methods: Participants in this study were 979 seven-year-old children(498 boys, 481 girls) recruited for the Korea Child Panel Study. Data were analyzed by analyzing descriptive statistics, correlations, and significance of serial mediation pathways using SPSS 18.0 and PROCESS Macro 3.4. Results: Maternal warmth at age five effected perception of maternal acceptance at age six. Perceived maternal acceptance at age six effected perceived peer acceptance at age six. Perceived peer acceptance at age six effected school adjustment at age seven. Lastly, perceived maternal acceptance and peer acceptance at age six had a serial mediation effect between maternal warmth at age five and school adjustment at age seven. Conclusion/Implications: Perceived social acceptance during preschool years should be emphasized in order to promote school adjustment for first grade children. Parent education for promoting better parent child relationships should be considered and teachers should encourage peer play interaction to help children perceive acceptance from their peers.

• The Journal of Korean Medicine
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• v.39 no.4
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• pp.16-29
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• 2018

Introduction: We aimed to investigate the predictive factors and optimal age for response to herbal medicine treatment for height gain in children. Methods: This retrospective chart review included 61 children (age range, 5-16 years) treated for height gain between 2011 and 2015. A predictive model was established by multiple linear regression analysis. Dependent variables were defined by the differences in percentile before and after herbal medicine treatment. The optimal cutoff value of patient age was determined by receiver operating curve analysis. Results : The age of initiation of herbal medicine therapy (p = 0.012) and administration of Forsythiae fructus (p = 0.002) were significant variables for treatment response. The adjusted R2 value was 0.231. The mean ages of the responder and non-responder groups were significantly different (p = 0.023). The optimal cutoff value of age for predicting treatment response was 9.75 years. Treatment response was better among children below 9.75 years of age. Conclusions: Patient age and administration of Forsythiae fructus were identified as determinants of response to herbal medicine treatment. Treatment of rhinitis and initiation of height gain treatment at an early age are critical for better response. These findings will provide fundamental data for further research.

• Journal of Korean society of Dental Hygiene
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• v.22 no.1
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• pp.29-36
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• 2022

Objectives: This study aimed to examine the association between age at menarche and two major oral diseases. Methods: Data from the 7th Korean National Health and Nutrition Examination Survey (2016-2018) were used. The participants included girls and women aged 12 years and above. Thedataofa total of 7,420 participants were analyzed. Statistical analyses were performed using complex samples cross-tabulation analysis and complex samples general linear model. Results: The average age at menarche of those aged 12 to 80 years was 13.81 years. The age at menarche was found to be associated with decayed-missing-filled teeth (DMFT) (p<0.05). When the age at menarche was nine years, DMFT was 4.20 when it was 19 years, DMFT was 10.80. The age at menarche was found to be associated with periodontal tissue state (p<0.05). The group with early menarche age had healthier periodontal tissues (17.1%), whereas the group with late menarche age had more unhealthy periodontal tissues (17.9%) (p<0.001). Conclusions: The age at menarche was associated with two major oral diseases. Therefore, it is necessary to provide women with oral hygiene care and oral health education to prevent major oral diseases before their secondary sex characteristics appear.

• Journal of the Korean Society of Food Culture
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• v.16 no.3
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• pp.225-234
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• 2001

The purpose of this study was to know the conscious of eating habit of housewife. The data were collected from 250 housewives who were the age group of 20-60's in Sang-Ju. The survey was taken place from May to June in 2000. The result showed that there were significant differences in eating habit's consciousness according to housewife's age group: 1. As the age goes up, the housewife had less consideration herself when they purchased food and decided cooking method. 2. As the age goes down, the order in having meal was depended on conditions. But as the age goes up, they considered the order as important thing like followings; eating together, eating separately according to the sex, male first, senior first, housewives lastly. 3. The survey showed that there was distinction depending on sex in meal as age goes up. And The subject was conscious that the delicious and valuable meal served to male, senior and child before. 4. Regardless of senior, the consciousness for the skipping meal was high as the age goes down. 5. As the age goes up, female and seniors showed that leftover was not so good. 6. The consciousness that housewives were responsible for preparing the meal was high as the age goes up, but they had further difficulty in preparing meal as the age goes down. 7. In considering that male and senior should be participated in the kitchen work, they had high consciousness as the age goes down. 8. About role of cooking, the consciousness was hish in case of male as the age goes down, in case of female and housewife were high as the age goes up. 9. As the age goes up, The consciousness was high that Female must buy the food. 10. As the age goes up, they had high consciousness in considering that the meaning of meal was related to survival, that noodle and bread were not meal. And the consciousness about that eating out was not good for health was high as the age goes up.

• Journal of Animal Science and Technology
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• v.44 no.2
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• pp.165-170
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• 2002

Mature weight (A) and rate of maturing (k) estimated by nonlinear regression were studied to determine the optimum age range over which the estimate of growth curve parameters can be estimated. The weight-age data from 1,133 Hanwoo bulls at Hanwoo Improvement Center of N.A.C.F. were used to fit the growth curve using Gompertz model. All available weight data from birth to the specific age of months were used for the estimation of parameters: the six specific ages used were 12, 14, 16, 18, 20 22 and 24 months of age. The mean estimates of mature weight (A) were 966.5, 1,255.9, 1,126.2, 916.5, 842.2, 780.9 and 767.0kg for ages 12 through 24 months, respectively. The mean estimates of mature weight (A) to 22 and 24 months of age were not different from each other. However, they were different from the estimates based on the data to other ages. Mean estimates of rate of maturing (k) were 3.362, 3.595, 3.536, 3.421, 3.403, 3.409 and 3.411 for ages 12 through 24 months, respectively. The mean estimates of maturing rate (k) for ages 18 through 24 months of age were not significantly different from each other. However, they were different from the estimates based on the data to other ages. Correlations among estimates of A at various ages showed the highest value of 0.93 between 22 and 24 months. Correlations among estimates of k at various ages were highest ranging from 0.91 to 0.99 among 18 to 24 months. The correlations between A and k were positive and tended to decrease with the increase of the age from 0.84 for the age of 12 months to 0.10 for the age of 24 months. Thus, the estimates of growth curve parameters, A and k, suitable for genetic studies can be derived from accumulated Hanwoo bulls after 22 months of age.

• The Journal of Korean Medicine
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• v.23 no.3
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• pp.1-10
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• 2002

Objective: There exist gender differences in pulsatile contour waveform. Women have a greater age-related increase in left ventricular mass than do men and more likely to experience symptomatic heart failure after infarction. SDPTG (the second derivative of photoplethysmogram waveform) is a noninvasive method for evaluating the pulse wave and is correlated with age and other risk factors for atherosclerosis. We studied the effect of gender on SDPTG and made clear why the gender differences appear. Methods: To study the effects of effect factors, including height and blood pressure, on SDPTG in the fourth decade, data on height, weight, PTD (pulse transit distance), blood pressure, serum lipid levels, and SDPTG were collected in 115 laboratory healthy men and women. SDPTG is derived from double-differential processing of fingertip photoplethysmography and consists of a, b, c, and d waves in systole and an e wave in diastole; SDPTG aging index (AI) was calculated as (b-c-d-e)/a. Results: There were significant gender-related differences of SDPTG AI, height, and blood pressure. Age, height, and mean blood pressure were respectively and significantly correlated with SDPTG AI. SDPTG is dependent upon age, height, and blood pressure. Restricting analysis to SDPTG AI, age, height, and mean blood pressure, yielded that there were gender-related differences in SDPTG AI (P<0.05) which were derived from those of height (F<0.001, df=l, P=0.994). Conclusions: These new data may help to explain previous findings about age-related differences in pulsatile contour waveforms and why gender differences of SDPTG appear. The results of this study suggest that SDPTG AI, used for evaluation of biological vascular aging, should be calibrated by height as well as age and blood pressure.