BACKGROUND/OBJECTIVES: The Dietary Reference Intakes for Koreans (KDRIs) were revised in 2020. Due to the rapidly aging Korean population, special consideration was given to reclassify the KDRI age group categories of older adults. This article examines the evidence for modifying the current KDRI age group ranges of older adults (65-74 and ≥ 75 yrs). SUBJECTS/METHODS: We first reviewed the domestic and international data on the elderly, following which we received expert opinions on age classification from the KDRI Advisory Committee. Finally, the 6th and 7th (2013-2017) Korea National Health and Nutrition Examination Survey (KNHANES) data were used to analyze the nutritional intake statuses by considering the age of older adults. RESULTS: According to the review results of domestic and international data and the inputs received from the expert advisory committee, the minimum age considered for the elderly was maintained at 65 yrs. However, the KNHANES data was analyzed to review whether there was a need to subdivide the later periods. Examining the differences in nutrient intakes by age group through the interaction effect term of the piecewise linear regression model revealed the interaction effect was maximum in the groups divided by 65 yrs (50-64 and 65-80), as compared to the groups divided by 70 yrs (50-69 and 70-80) and 75 yrs (50-74 and 75-80). The mean adequacy ratio was calculated per 1 yr of age, and a 3-yr (age) moving average analysis was performed to examine the change in the trends of overall nutrient intake. However, it was challenging to secure a scientific basis for subdivision into age groups in older adults from the results obtained. CONCLUSIONS: This study could not find any scientific evidence for modifying the KDRI age groups for older adults.
Ha, Su-Jin;Hwang, Deok-Sang;Lee, Jin-Moo;Jang, Jun-Bock;Lee, Chang-Hoon
The Journal of Korean Obstetrics and Gynecology
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v.33
no.2
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pp.63-76
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2020
Objectives: The purpose of this study is to compare postpartum symptoms of 528 women by age groups and delivery method through health questionnaires of postpartum care center. Methods: From January 2018 to December 2018, we statistically compared the 528 women's postpartal symptoms who divided into 4 age groups using SPSS Statistics 21.0 program. Results: There were no differences in weight changes, gestational age and degree of subjective discomfort by age (p>.05). On the other hand, parity, fetal weight and delivery method were statistically associated with age (p<.05). Especially the rate of cesarean delivery was increased with age. Degree of feeling dyspepsia and edema was higher in cesarean section delivery group (p<.05). Also, as the weight increased by 1 kg during pregnancy, the degree of feeling postnatal edema increased by 0.204 (β=0.204, t=4.204, p<.05). Conclusion: This study showed that age itself will not affect postpartum symptoms alone. Instead it is necessary to consider post-cesarean delivery symptoms for advanced maternal age.
This study was designed to evaluate the Temporomandibular Disorders(TMD) with Tension-Type Headache(TTH) by age. Patients with TMD and/or TTH visited the Department of Oral Medicine, Kyung Hee University Dental Hospital were recruited to this study. Experimental group(n=170) is composed of TMD with TTH and control group(n=222) is composed of TMD without TTH. Evaluation list was pain quality, pain intensity, pain laterality, pain increase by routine physical activity and then it was analyzed statistically. The results were as follows ; 1. In the control group, pain quality was not significantly different by age. But, in the experimental group, pain quality was significantly different by age(p=0.042). 2. In the control group, pain intensity was significantly different by age(p=0.000). And, in the experimental group, pain intensity was significantly different by age(p=0.004). 3. In the control group, pain laterality was not significantly different by age. And, in the experimental group, pain laterality was not significantly different by age. 4. In the control group, pain increase by routine physical activity was not significantly different by age. And, in the experimental group, pain increase by routine physical activity was not significantly different by age. Therefore, it is considered that not temporomandibular disorder patients without tension-type headache but temporomandibular disorder patients with tension-type headache was influenced by age in the pain quality.
The purpose of this study was to investigate the effect of age, physical type and job on preference for color and fabric motifs in men's clothing design. Color preference measures consisted of clothing styles painted in CAD. Preference for fabric motifs was assesed by stripe fabrics in size, width and strength. All of the preference measures were devised specifically for this study. Furthermore, items on Hight and Weight for physical type, age and job of subjects were included I the questionnaire. Data were obtained by self-administered questionnaires form 243 men (25-54 years old) in Seoul. Analysis was by chi-square (X2), frequency, and percentage. The results obtained in this study were as follows : 1. Color preference was not affected by age and physical type, Job was related to coordinate color of men's clothing. 2. Preference for width of striped motifs was affected by age and job. 3. Preference for strength of fabric motifs in men's jacket was affected by physical type.
The need for periodic investigation on human growth rate and somatotypes has been increased because the scientific development and environmental factors have effected a lot on them recently. This study aimed to investigate the changes of the 638 female somatotypes in the age of 18-54 obtained by direct and indirect measurement. The measurement data were divided into 4 groups early young women age group (18-54), late young women age group (25-34), early middle age group (35-44), late middle age group (45-54) and compared each other based on each group by age. The results obtained from this study were as follows: 1. According to Mollison Curve based on the early young women, items of depth decreased overall and pp.P. length & shoulder length increased as the age increased. The circumference, breadth and thickness tended to increase, especially waist girth and thickness of waist increased markedly. The data showed that the increase rate of thickness was higher than that of breadth. 2. Gradual somatotype changes were observed by overlapping projection drawings obtained by direct measurement. Compared with the young women, the middle aged showed lower should point depth and hip line & crotch depth line were lengthened significantly. No significant difference was observed in overlapping of the early young women and the late young women' figure, neither was in early middle aged and the late middle aged. 3. By overlapping the side view of the young women group (18-37) and middle aged group (35-54), no significant postural characteristics were found, while the back tended to bend forward and the abdomen and hip appeared to get fat.
There is a discrepancy in opinion regarding geological age of Okchon system among professor C.M. Son and the writer who represent the two school of thought in precambrian stratigraphy in Korea as a whole. This brief article is a reply to the recent paper by C.M. Son titled "On the geological age of the Ogcheon Group" The discrepancy in opinion on the age Okchon system is based mainly on the difference in opinion about the age of Majeonri, Hwachonri and Kounri formations, the age of which professor Son believes as post-ordovician and regards them as a part of the Great Limestone series and the base of the Ogchon Group. The writer is in a opinion that Okchon system belong to precambrian in age and Majeonri-, Hwachonri-, and Kounri formations are the same formation composing an upper member of Okchon system. The writer's opinion is based on the facts that i) stratigraphical sequence of Okchon system established by the writer was accepted by C.M. Son who used believed the reverse order in sequence and confessed his mistake in his article; and ii) regional stratigraphy and structure strongly support's to writer's opinion. The writer pointed out and discussed in this paper various facts which do not support Son's idea by any means.
Journal of the Korean Society of Clothing and Textiles
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v.44
no.1
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pp.141-158
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2020
This study examines age differences with respect to consumers' clothing purchase behavior. First, the differences of age groups were investigated according to clothing purchase behavior, which include purchase item, purchase price, purchase channel, information resources, purchase frequency, and monthly clothing expenditures. Second, the differences of segmented groups by age variable were investigated according to clothing purchase behaviors after segmenting consumers by clothing shopping orientation. An on-line survey was conducted from July 2 to July 10, 2019, and 500 data were collected from adults aged 20s to 60s who had bought their own clothes within one year. Data were analyzed by descriptive statistics, factor analysis, reliability analysis, chi-squared test, ANOVA and Duncan-test using SPSS 21.0. This findings showed that there were significant differences in purchase item, purchase price, purchase channel, purchase frequency, and information resources according to age group. As a result of segmentation by shopping orientation, consumers were classified into three groups of high shopping involvement, low shopping involvement, and economic pursuit. In addition, there were partly significant differences in clothing purchase behavior according to classified groups by age variable.
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.
This study validates an abridged version of the age integration scale by Chung et al. (2015), which constitutes sub-dimensions of age flexibility and age heterogeneity-from Riley et al. (1994)-and observes disparities in the perception of age integration among different socio-cultural characteristics. This study analyzed 1,433 people in the "Age Integration and Generation Integration Survey" data, with the support of the Social Science Competency Enhancement Project (SSK) (supported by the Korea Research Foundation). This paper analyzed the data using exploratory factor analysis, confirmatory factor analysis, multiple-group factor analysis, and a compare means test. The results are as follows. First, the scale was abridged to 13 items from 28, of which eight items concern age heterogeneity and five concern age flexibility. Second, the multi-group analysis did not show a significant difference among younger, middle, and older age groups, therefore allowing the scale to be used among all age groups. Third, when sociocultural characteristics were observed, younger adults showed differences in their levels of age integration, age heterogeneity, and age flexibility regarding their residential area. Middle-aged adults showed dif f erences in their levels of age integration, age heterogeneity, and age flexibility regarding their residential area and social status. Older adults showed differences in their level of age integration regarding their residential area, education level, and social status. They also showed differences in the level of age flexibility regarding their residential area and social status and differences in the level of age heterogeneity regarding their residential area and education. Based on the results of the study, political and practical measures to promote perception on age integration in the future were suggested.
Journal of the Korea Fashion and Costume Design Association
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v.12
no.4
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pp.75-88
/
2010
The objective of this study is to investigate the fit preference tendency for ready-to-wears(jackets, skirts and slacks) of adult women and to find out the respective differences by the age range and the obesity level. The study method was the questionnaire survey with the subjects of 295 women of 20 up to 59 years of age. The questionnaire is composed of fit preference tendency, physical measurements, age, and occupation. For the data analysis, SPSS 18.0 program was used, and descriptive statistics, Crosstabs, ANOVA, Duncan's test, t-test and multiple regression were conducted. The findings were as follows. 1. Regarding the fit preferred for each part of jackets, skirts, and slacks, among ready-to-wears, the 'thing with some extra width' in every part was most favored, followed by the 'thing fitting perfectly.' 2. The differences were found in the fit preference tendency by the age of adult women. The fit preference tendency was higher among those in their 20's than among those of the other age range. 3. The differences were also found in the fit preference tendency by the obesity level of adult women. The fit preference tendency was high in the order of the emaciation, normalcy, and obesity types. 4. For all of three items, age and body type or body type influenced the preference by the fit level. As the age was higher and the body type was fatter, those items with some flexibility were preferred.
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