• Journal of Preventive Medicine and Public Health
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• v.41 no.3
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• pp.186-194
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• 2008

Objectives : This study describes trends in the socioeconomic disparities in breast cancer screening among US women aged 40 or over, from 2000 to 2005. We assessed 1) the disparities in each socioeconomic dimension; 2) the changes in screening mammography rates over time according to income, education, and race; and 3) the sizes and trends of the disparities over time. Methods : Using data from the Behavioral Risk Factor Surveillance System (BRFSS) from 2000 to 2005, we calculated the age-adjusted screening rate according to relative household income, education level, health insurance, and race. Odds ratios and the relative inequality index (RII) were also calculated, controlling for age. Results : Women in their 40s and those with lower relative incomes were less likely to undergo screening mammography. The disparity based on relative income was greater than that based on education or race (the RII among low-income women across the survey years was 3.00 to 3.48). The overall participation rate and absolute differences among socioeconomic groups changed little or decreased slightly across the survey years. However, the degree of each socioeconomic disparity and the relative inequality among socioeconomic positions remained quite consistent. Conclusions : These findings suggest that the trend of the disparity in breast cancer screening varied by socioeconomic dimension. Continued differences in breast cancer screening rates related to income level should be considered in future efforts to decrease the disparities in breast cancer among socioeconomic groups. More focused interventions, as well as the monitoring of trends in cancer screening participation by income and education, are needed in different social settings.

• Journal of the Korean Society of Clothing and Textiles
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• v.8 no.2
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• pp.11-17
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• 1984

The purpose of this study was to explore the characteristics of Fashion leadership in relation to social partipation, mass communication, and socioeconomic level among married women living in Seoul. Fashion opinion leadership was measured by Schrank Fashion Opinion Leadership Inventory. Fashion Preference Scale was designed to determinefashion innovativeness. Social parti-cipationana mass communication were assessed by selected items from the inventory of Summer and Kim. Hollingshead's two-factor index and weighting system was selected to assess socioeconomic level. The questionnaires were adminstered to a random sample of married women in Seoul. The date for 214 respondents were analyzed by Pearson correlation, analysis of variance, and t-teat. The results were as followers : 1) Fashion opinion leadership was significantly related to fashion preference. 2) Fashion leadership was significantly related to social participation, mass communication, socioeconomic level. 3) There was a significant difference between fashion leadership and age. 4) Women's occupation had little influence on fashion opinion leadership as well as fashion preference.

• Journal of the Korean Society of Clothing and Textiles
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• v.10 no.1
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• pp.59-67
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• 1986

The purpose of this study was to identify the characteristics of fashion leaders in relation to attitude toward change and socioeconomic level among Dae Gu woman as well as among rural women living on the suburbs of Dae Gu: and to compare the characteristics of these urban women in a mass society with the rural women living in a traditional society. Measures selected for this study consisted of the Schrank Fashion Opinion Leadership Inventory(1973), the Schrank ana Sugawara Attitudes Toward Change Inventory(1977), and socioeconomic level. The fashion Innovation Inventory was developed by author which consisted of a list of clothing and accessory items selected after surveys to local stores, campus, and main streets, and study of fashion magazines for the current seasons. The data from 280 respondents were analyzed by Pearson corrleation coefficients, analysis of variance, and t-test. The results were as followers : 1) A significant relationship was found between fashion leadership and socioeconomic level for both urban and rural women. High attitude toward change was significantly related to high fashion innovativeness and high fashion opinion leadership among the urban groups. re significant relationship was found between fashion opinion leadership and attitude toward change among the rural sample. 2) A significant difference was found in attitude toward change scores of four urban sub-sample groups : fashion innovators, fashion opinion leaders, fashion innovative communicators(who exhibit high scores on both fashion innovativeness and fashion opinion leader-ship), and non-fashion innovative communicators. No significant difference was found in attitude toward change scores of four rural sub-sample groups. No significant differences were found in socioeconomic level of four sub-sample groups for both urban and rural women.

• Proceedings of the Population Association of Korea Conference
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• 2006.12a
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• pp.59-87
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• 2006

This paper explores the effects of the 1997 economic crisis on the pattern of socioeconomic differentials in fertility. Based on analysis of data from the 2003 Korea National Fertility Survey, this study focuses on recent changes in the level of fertility according to socioeconomic status of the couple including educational level, occupation, working status, income, etc. Results reveal that the level of fertility of those with the highest education, most prestigious occupation, and employer status are higher than those of the next group in the socioeconomic hierarchy. These findings imply that the straight line inverse pattern of socioeconomic differentials in CEB yielded to a reversed J-shaped curve. However, recent differentials of fertility after the economic crisis were found to contrast with the pattern above. Decrease in fertility has been most drastic among those with a high level of fertility, and relatively slow for those with a low level of fertility. The level of recent fertility turns out to be highest among those with upper-middle socioeconomic status, followed by those with the highest socioeconomic status and those with the lowest status. Policy implications and some comments on current population policies of the Korean government are also presented in this paper.

• The Korean Journal of Community Living Science
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• v.16 no.1
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• pp.49-58
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• 2005

The purpose of this study was to identify the eating habits and attitudes by socioeconomic factors(sex, age, educational level and annual family income) of adults in rural areas. The survey was administered by the nationwide 580 adult persons in rural in February 2001. The survey was conducted by a questionnaire that was composed of 20 items of likert-type scale. These data were analyzed by using SPSS(version 10.0) PC package and were expressed by mean and frequency. The results are following : 1) The degree of efforts to eating safe and fresh food were significantly different according to age(p<0.05), educational level(p<0.001) and annual family income(p<0.001). 2) The degree of efforts to nutritional balanced diet were significantly different by age(p<0.05) and annual family income(p<0.00l). 3) The concern about overeating of energyㆍsaltㆍfat were increased as the educational level goes up(p<0.001). 4) Meal regularity was more regular as age goes up(p<0.05). 5) Regarding for eating a variety of food were differed significantly by age(p<0.05) and educational level(p<0.01). 6) There are significantly different in duration of meal time of the subjects by sex(p<0.001), age(p<0.05) and educational level(p<0.0l). 7) Preference for snacks was significantly different by age (p<0.05) and educational level(p<0.0l). 8) There were significant differences in preference for processed foods(p<0.001) and frequency of using a chemical seasoning in cooking(p<0.05) of the subjects by educational level. 9) As the age(p<0.001) goes up and the educational level(p<0.001) and annual family income(p<0.001) goes down, they did not recognize the necessity for improving eating habits. According to these results, there were differences in eating habits between socioeconomic characteristics group in rural area. Therefore, this study can be used as basic data for specific nutritional intervention program in rural areas.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.5
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• pp.3219-3221
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• 2013

Background: This study used receiver operating characteristic (ROC) curves to screen Surveillance, Epidemiology and End Results (SEER) skin melanoma data to identify and quantify the effects of socioeconomic factors on cause specific survival. Methods: 'SEER cause-specific death classification' used as the outcome variable. The area under the ROC curve was to select best pretreatment predictors for further multivariate analysis with socioeconomic factors. Race and other socioeconomic factors including rural-urban residence, county level % college graduate and county level family income were used as predictors. Univariate and multivariate analyses were performed to identify and quantify the independent socioeconomic predictors. Results: This study included 49,999 parients. The mean follow up time (SD) was 59.4 (17.1) months. SEER staging (ROC area of 0.08) was the most predictive foctor. Race, lower county family income, rural residence, and lower county education attainment were significant univariates, but rural residence was not significant under multivariate analysis. Living in poor neighborhoods was associated with a 2-4% disadvantage in actuarial cause specific survival. Conclusions: Racial and socioeconomic factors have a significant impact on the survival of melanoma patients. This generates the hypothesis that ensuring access to cancer care may eliminate these outcome disparities.

• Journal of the Korean Society of Clothing and Textiles
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• v.2 no.2
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• pp.253-260
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• 1978

The purpose of this study was to investigate whether or not the clothing behavior of house-wives in Seoul vary depending on their socioeconomic status. The null hypotheses tested in this study were as follows: 1) There are no differences in housewives' attitudes toward the importance of clothing according to their socioeconomic status. 2) There are no differences in housewives' criteria of clothing choice according to their socioeconomic status. 3) There are no differences in housewives' clothing taste according to their socioeconomic status. 4) There are no differences in the pattern of housewives' clothing purchase according to their socioeconomic status. In order to test these null hypotheses, questionnaires on clothing behavior and socioeconomic status were distributed to a sample of 243 purposively selected housewives in Seoul, Korea. The factor analysis, correlation and analysis of variance techniques were employed for the statistical analysis of data. The results indicated that: 1) The attitudes toward the importance of clothing was related to socioeconomic status. 2) The criteria of clothing choice (aesthetics-practicality), clothing taste (individuality-conformity), and the pattern of clothing purchase (a degree of rationality) were not related to socioeconomic status. 3) The criteria of clothing selection was related to housewives' level of education. 4) Clothing taste was related to housewives' age.

• Research in Community and Public Health Nursing
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• v.12 no.3
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• pp.609-619
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• 2001

This cross-sectional study is to measure the distribution of self-reported health by income, house type, level of education, income satisfaction and self reported social class in an effort to compare the level of health inequality in Korea. The data used in the research are the Social Statistics Survey undertaken in 1999. The correlation coefficient was used to measure the association between inequalities in health and inequalities in socioeconomic status. The correlation coefficient was the most significant between self-reported health and the level of education and income satisfaction. As for the health-related behavior, hypertension, smoking, overweight and drinking were shown to be highly correlated with self-reported health.

• Child Health Nursing Research
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• v.7 no.2
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• pp.203-212
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• 2001

The subjects were 349 high school boys and girls who were 10th and 11th graders in Seoul, Korea. Statistical analysis included percentages, means, Pearson correlation coefficient, ANOVA, t-test, and stepwise multiple regression analysis. As a result, there were positive correlations between social support, stress reduction and increases in health behavior. Stepwise multiple regression analysis of social support, stress, and adolescents health behavior showed that social support explained 26.3％ of the variance in health behavior, The more social support subjects experienced more health behavior level and the less the correlated stress level. In the area of demographic attributes, gender, height, weight, grade level, socioeconomic level of the parents, and stress were significantly correlated, grade levels, religion, socioeconomic level of parents and social support. sibling order, religion, socioeconomic level of the parents, parents education, occupation of father. and health behavior were statistically significant The findings indicated stress was a negative factor in health behavior, and social support was a positive factor in reducing stress and promoting health behavior. To reduce adolescents stress and to promote health behavior, we should endeavor to develop realistic social support programs.

• Journal of Preventive Medicine and Public Health
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• v.39 no.4
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• pp.359-364
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• 2006

Objectives: The object of this study is to assess the relationship between socioeconomic factors and the predicted 10-year risk of cardiovascular disease by using health risk appraisal of ischemic heart disease. Methods: The study population was taken from The 2001 Korea National Health and Nutrition Survey, and it consisted of 1,566 men and 1,984 women aged 30-59. We calculated 10-year risk using the risk function of ischemic heart disease as developed by Jee. The educational level and equivalized household income were dichotomized by a 12 years education period and the median income level. Occupation was dichotomized into manual/non-manual work. We stratified the population by age(10 years) and sex, and then we rated the risk differences according to socioeconomic factors by performing t-tests for each strata. Results: There were gradients of the predicted 10-year risk of ischemic heart disease with the educational level and the equivalized household income, and thet was an increasing tendency of risk differences with age. Manual workers didn't show significant risk difference from non-manual workers. Conclusions: There was definite relationship between low socioeconomic position and the predicted risk of ischemic heart disease in the future.