• 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.

• Clinical Nutrition Research
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• v.13 no.2
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• pp.96-107
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• 2024

Malnutrition affect clinical outcomes in hospitalized old age patients, but the data on the related outcomes on the basis of different age categories are still limited. We aimed to investigate the interplay of associations among body mass index (BMI), falls risk, and mortality rate in different older adult patient age categories. This retrospective study included hospitalized patients aged ≥ 65 years who received artificial nutrition. Demographic, biochemical, and survival data were collected. BMI was evaluated using the World Health Organization BMI cutoffs for Asians, and patients were classified into high (≥ 23.0 kg/m²), normal (18.5-22.9 kg/m²), and low (< 18.5 kg/m²) BMI groups. The Morse Fall Scale was used to assess falls risk. By age categories, all patients (n = 4,642) were divided into the 65-74 (n = 2,649) and ≥ 75 (n = 1,993) years age groups. We found that the proportion of low-BMI and high risk of falls increased with age. Further, low-BMI was associated with increased falls risk in both age groups. Overall survival rate tended to be lower in the low-BMI and ≥ 75 years group than that in other patient groups, but did not differ significantly compared with the low-BMI and 65-74 years group. Low-BMI was associated with increased falls risk and mortality; however, the association depended on specific patient age groups.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2008.06a
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• pp.275-276
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• 2008

• 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.

• Korean Journal of Child Studies
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• v.33 no.5
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• pp.19-35
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• 2012

The purposes of this study were to investigate how children's categorization differs in object categorical hierarchy and to examine whether these aspects were different according to the children's age of 18 months, 24 months, 30 months. The participants consisted of 120 young children aged 18 months, 24 months, and 30 months from 31 child-care centers located in middle-income regions of Seoul and Kyonggi Province. The major findings were as follows : First, all the children from all three age groups could consistently differentiate the superordinates; however, they could not consistently differentiate basic categories. Second, 24 month appears to be a critical change period in category development. Third, as the children become older, they are able to acquire more knowledge regarding categories. These results suggested that the advent of ordering, in terms of basic categories as well as superordinates which occurred around the age of 24 month, was confirmed in category development.

• Journal of the Korean Society of Clothing and Textiles
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• v.14 no.2
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• pp.137-151
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• 1990

Changes in male roles and lifestyle in recent years have brought about an increased interest in appearance and apparel for men. The purpose of this study was to classify consumers into categories based on style of men's business suits and describe the resulting categories in terms of lifestyle, clothing behavior, appearance and demographic variables. Data were obtained from questionnaires completed by 513 consumers 20-69 years of age living in Seoul, and analyzed by factor analysis, multiple discriminant analysis, one-way ANOVA, CROSSTAB, and S-N-K test. Resulting categories of consumers were labeled as formal, semi-formal and casual. Descrip-tive profiles of the three categories were developed differently by 2 lifestyle factors (positive opinion leadership, social participation), 1 clothing factor (conformity), 2 appearance factors (conservative, energetic), and 2 demographic variables (age, marital status). The semi-formal type of man is significantly different from the two other types in his group activities that require social participation and opinion leadership. The formal type is significantly different from the two other types in his conformity in clothing and conservative appearance. The majority of formal and semi-formal types of men were 25-39 years of age and married, while the casual type was younger and unmarried.

• The Journal of Internal Korean Medicine
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• v.33 no.3
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• pp.257-271
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• 2012

Objectives : The purpose of this study was to confirm that the pulse analyzer is useful for analyzing characteristics of variables of pulse waves in age categories, evaluating pulse waves of the metabolic syndrome group, compared with those of the non-metabolic syndrome group in Korean adults. Methods : The pulse wave variables were measured in Guan of all 1,056 subjects by the pulse analyzer, using a pen-type piezoresistive sensor. The physical measurement, blood test and survey were also performed by each subject. Results : In the age categories, height of pre-incisura (h2), height of tidal wave (h3), area of percussion wave (Aw), and width of percussion wave (w) increased in accordance with increase in age. While ratio of systolic period area (As) went up according to the increase of age, ratio of diastolic period area (Ad) went down. Radial augmentation index (R-AI), h2/h1, h3/h1, w/t and angle of percussion wave went up by aging, generally. Aw rate (Aw/At) also increased. Among the metabolic syndrome group, in the ages of 19 and 44, ratio of systolic period area (As) was higher and ratio of diastolic period area (Ad) was lower than in the non-metabolic group. w/t, Aw/At, and angle of percussion wave were higher than in the non-metabolic syndrome group. Among the metabolic syndrome group over the age of 60, height of pre-incisura (h2), height of tidal wave (h3), total area (At), area of percussion wave (Aw), radial augmentation index (R-AI), h2/h1 and h3/h1 were higher than in the non-metabolic syndrome group. Conclusions : The pulse analyzer is useful to analyze arterial stiffness in the age categories and in the metabolic syndrome group by some measures.

• Research in Community and Public Health Nursing
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• v.12 no.2
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• pp.513-531
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• 2001

Television news programs are becoming significant source of health information. This study aims at investigating the current state of health coverage of the prime time news program in Korea. Data were collected from KBS 9 0'clock news in the period of thirteen months. from December 1. 1998. to November 1. 1999. The data were analyzed using content analysis method. and the reliability degree was 99.7% according to the Holsti's inter-coder reliability test. The current research classified 489 health related news items into 49 sub-categories and five health categories through content analysis. Some of the basic results of this study are as follows. 1. The frequency according to health category, health maintenance promotion(57.3%) topped followed by disease prevention(23.2%), disease treatment(14.9%), life ethics(4.0%), and growth development(0.6%). 2. According to human developmental age. for the most part(80.1 %) is applicable to the entire range of human developmental age. 3. Health maintennance promotion category take top of health category by the rate of 57.3% and contain 20 sub-categories. 4. News items in the life ethics category, which had six sub-categories. occupied only four percent of the total health related news. News in the growth development category included two sub categories and occupied 0.6% of the total news items. 5. In disease prevention and disease treatment category, infectious disease(33.2%) showed the highest percentage according to the WHO's international disease classification system. Disease prevention occupied 23.2% and contained eleven sub-categories while disease treatment occupied 14.9% and included ten sub-categories. Television news coverage on health showed a wide variety of selection in terms that they are reporting various issues. This study, however, found that some news items were confusing and failing in presenting scientific evidences. It is suggested that the television coverage on health could be beneficial to most of viewers in receiving important health information and guidelines, only if they are utilizing their own sound discretion in consuming those news.

• Korean Journal of Adult Nursing
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• v.23 no.3
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• pp.221-234
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• 2011

Purpose: The purpose of this study was to identify and describe phenomenological structures of the experiences of dietary life on elderly over 100 years old. Methods: The participants of this research included nine persons over the age of 100 years of age and ten family members who assisted in the dietary regime. Qualitative data were collected by individual in-depth interviews. Data were analyzed using Colaizzi's method of phenomenology. Results: The results of the research provide four categories and nine theme clusters. The categories included a rustic menu consisting of vegetables, grain-oriented traditional food, sensible dining table in harmony with nature, dietary life and emphasis on how to eat. The nine theme clusters were preference for fresh vegetable, preference of cooked potherb, boiled rice and cereal as main staple food, intake of soybeans, preference of native local foods, non-preference of unhealthy foods, select healthy and control food portion sizes for longevity, objection to light eating, and enjoying a meal. Conclusion: The findings of the study offer insight about the nutrition patterns among the people over 100 years of age.

• Journal of Families and Better Life
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• v.24 no.1 s.79
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• pp.253-269
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• 2006

This study examined the economic structure of male one-person households, and investigated how it differed by male's age and marital status. Specifically household incomes, expenditure patterns, assets, debts, and other demographic variables were compared by age and marital status. From the 2000 National Survey of Household Income and Expenditure conducted by Korea National Statistical Office(KNSO), 1,389 male one-person households were selected. The findings of this study were as follows: First, the economic status of male one-person households was unstable. They were more likely to depend on labor incomes and transfer incomes, and had less property incomes and total assets. Their average propensity to consumption was higher than that of general households. Second, the economic structure of male one-person households showed large differ+useholders in age 50s allocated $48\%$ of household expenditure to the non- consumption categories, especially child or (ex)spouse support payments. The economic status of householders in age 60s and over was inferior to those of the other groups. Third, there were considerable differences in the economic status of male householders who had different marital status. Divorced and separated males had higher incomes and expenditures, but assigned large portion of their incomes to the non-consumption categories. Widowers' level of economic living, such as incomes, expenditures, and assets, was the worst among male one-person households.