• Proceedings of the Korea Concrete Institute Conference
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• 2006.05a
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• pp.458-461
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• 2006

Early age cracking of concrete is a widespread and complicated problem, and diverse applications in practical engineering have focused on this issue. Since massive concrete base slab composes the infrastructure of other concrete structures such as pier, concrete dam, and high rise buildings, early age cracking of that is considered as a crucial problem. In this study, finite element analysis (FEA) implemented with the age-dependent microplane model was performed. For a massive concrete base slab, cracking initiation and propagation, and deformation variation were investigated with concrete age. In massive concrete slab, autogenous shrinkage increases the risk of early age cracking and it reduces reinforcement effect on control of early age cracking. Gradual crack occurrence is experienced from exterior surface towards interior of the slab in case of combined hydration heat and autogenous shrinkage. FEA implemented with enhanced microplane model successfully simulates the typical cracking patterns due to edge restraint in concrete base slab.

• Korean Journal of Child Studies
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• v.12 no.2
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• pp.130-145
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• 1991

The purpose of this study was to investigate parental authority by sex and age of child. The subjects of this study were 546 elementary school and middle school children in Seoul. The instrument was the Parent Authority Scale (김경희, 1991). Statistical analysis of the data was by two-way multivaliate analysis of variance, simultaneous confidence interval and structure coefficients. There were sex and age differences in children's perception of parental authority. There was a significant interaction effect between children's sex and age on parental authority.

• Journal of the Korean Society of Clothing and Textiles
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• v.22 no.1
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• pp.127-138
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• 1998

Through the recognition and the satisfaction of the lower part of the women body from age 30 to age 49 we studied 211 respondents of the women to analyze what lower part shape they want. The results are as follows. 1. The recognition of the lower Part showed certain degrees of differences in waist girth, abdomen girth, and weight according to the age. 2. The female of the 40s showed higher satisfaction of their lower part considering that of the 30s 3. The cluster analysis of the lower part shape of the 30s and 40s was classified into 5 types.

• Journal of the Korean Society of Clothing and Textiles
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• v.20 no.1
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• pp.218-227
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• 1996

The purpose of this study was performed to analyze the trend of bodytype change of adult males. Subjects were 1290 Korean adult males and their age range was from 19 to 54 year, ; old. 75 variables(66 variables from the direct anthropometric data and 9 variables from the multiplication method) in total were applied to analyze. The principal component analysis was applied to the data with orthogonal rotation after extraction of major factors. The high factor loading items extracted by factor analysis were analyzed for the trend of bodytype change by the age group respectively. The result of factor analysis indicated that the first factor was composed with about 30 items, girth, depth and width-measures in 4 age groups and was analysed as form factors. Especially, age-related change was caused by increase of waist girth, depth and width. The second factor was composed with about 23 items, length and height-measures in all age groups. Stature has a constant factor loading value in 4 groups. Front and back waist-height and the navel-height have the highest factor loading value. The third, fourth and fifth factors were composed with different variables among the age groups.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.18
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• pp.8589-8594
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• 2016

Background: Liver cancer is one of the most common causes of death in the world. In Korea, hepatitis B virus (HBV) is a major risk factor for liver cancer but infection rates have been declining since the implementation of the national vaccination program. In this study, we examined the secular trends in liver cancer mortality to distinguish the effects of age, time period, and birth cohort. Materials and Methods: Data for the annual number of liver cancer deaths in Korean adults (30 years and older) were obtained from the Korean Statistical Information Service for the period from 1984-2013. Joinpoint regression analysis was used to study the shapes of and to detect the changes in mortality trends. Also, an age-period-cohort model was designed to study the effect of each age, period, and birth cohort on liver cancer mortality. Results: For both men and women, the age-standardized mortality rate for liver cancer increased from 1984 to 1993 and decreased thereafter. The highest liver cancer mortality rate has shifted to an older age group in recent years. Within the same birth cohort group, the mortality rate of older age groups has been higher than in the younger age groups. Age-period-cohort analysis showed an association with a high mortality rate in the older age group and in recent years, whereas a decreasing mortality rate were observed in the younger birth cohort. Conclusions: This study confirmed a decreasing trend in liver cancer mortality among Korean men and women after 1993. The trends in mortality rate may be mainly attributed to cohort effects.

• International Journal of Human Ecology
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• v.15 no.2
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• pp.13-21
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• 2014

This study investigated the anthropometric characteristics of US women 26 to 45 years of age to classify their body shapes into different categories. Research data was obtained from 2950 women 26 to 45 years of age who participated in the SizeUSA study. A 26 to 35 years of age group and a 36 to 45 years of age group were selected from the data pool. A total of 26 measurements important for body shape classification and for apparel product development was used for the data analysis. Five factors accounted for the US women's body measurements. The body shapes of women were categorized into 4 types: Obese A-Shape, Overweight Y-Shape, Obese H-Shape, and Normal S-Shape. Normal S-Shape was the most common body shape type. More women in the 26 to 35 years of age group had Normal S-Shape type than women in the 36 to 45 years of age group. More women in the 36 to 45 years of age group had Obese A-Shape, Overweight Y-Shape, and Obese H-Shape than women in the 26 to 35 years of age group. Younger US women, 26 to 35 years of age had slimmer body sizes with more balanced body shapes; however, older US women, 36 to 45 years of age had larger body sizes with more various body shapes.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.24 no.4
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• pp.391-398
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• 2011

After a concrete is poured, reinforced concrete structures were distressed by physical and chemical factor over time. It is in need to define important variables related to structural behavior for effectively conducting seismic analysis of structures with age-related degradation. In this study, a sensibility analysis using the first-order second moment method was performed to analyze an important variables for the reinforced concrete shear wall with age-related degradation. Because the seismic capacity of aging structures without a concrete hardening effect can be underestimated, the sensibility of analysis variables was analyzed according to the concrete hardening. Important variables for RC shear wall with age-related degradation was presented by using the tornado diagram.

• The Korean Journal of Health Service Management
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• v.13 no.4
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• pp.19-31
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• 2019

Objectives: The purpose of this study was to analyze research trends in age-friendly research and suggest directions for future research. Methods: For this study, 112 articles related to age-friendly research were selected, from 605 published articles in The Korean Journal of Health Service Management (2007-2018). Content analysis and text network analysis were conducted using SPSS 23.0 and NetMiner 4. Results: First, 2 authors (30.4%) and 4 keywords (45.5%) were the most studied. Most of the studies used quantitative research (93.8%). Primary data (61.9%) and SPSS (77.7%) were the most used for analysis. Second, there were seven common keywords in the top 10 in all the centralities. They were Elderly, Geriatric Hospital, Depression, Care Workers, Long-Term Care Facilities, Experience, and Attitude. Conclusions: This study shows the need for diversity of research topics, subjects, research methods, and analytical tools in future age-friendly related studies. In addition, it suggests activating convergence research in this field linked to various industries and services.

• Journal of the Korean Home Economics Association
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• v.42 no.11
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• pp.85-107
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• 2004

This study classified figure types of adult males into several kinds of shape to provide fundamental data for their clothing sizing system. The subjects were 1496 men aged between 20 and 60 years old. Data were analyzed by factor analysis, cluster analysis and discriminant analysis. The results were as follows 1. For the result of the interview, the data were grouped into three age brackets: 20-35,31-45 and 41-60 years. 2. Factor analysis using values, which were measurements divided by either weight or height, was carried out to extract factors which characterize the various figures. fve factors to determine the figure types were extracted. 3. Cluster analysis using factor scores was carried out to categorize the figure types within the age groups. Figure types, describing shoulder angie and body shape, were categorized into 3 per age group. 4. Stepwise discriminant analysis w3s used to ensure that these clusters could be utilized with appropriate hit ratio. The hit ratio for each age group was around 80%.

• Journal of the Korea Fashion and Costume Design Association
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• v.18 no.2
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• pp.127-144
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• 2016

The purpose of the study was to investigate the self-esteem, appearance satisfaction, and clothing benefit pursuit the gap between subjective age and real age according to gender and age of middle-aged consumers. For the study, the questionnaire was developed by the authors 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. There were significant differences in the subjective age of middle-aged consumers according to gender and age. Female consumers in their fifties perceived their subjective age to be younger than male consumers in forties and fifties. There were no significant differences in self-esteem among the groups according to gender and age. Significant differences were found in appearance satisfaction of male consumers in their fifties having higher appearance satisfaction than female consumers in their forties. There were significant differences in some factors of clothing pursuit benefits including pursuit of fashion, pursuit of youth, pursuit of rationale, pursuit of leisure, and pursuit of loyalty, among the groups according to gender and age with female consumers placing more importance on clothing-related benefits than their male counterparts. Local fashion businesses to consumers who target middle-aged consumers, this study can provide a basic data.