• 대한지역사회영양학회지
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• 제11권6호
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• pp.725-739
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• 2006

This study was performed to assess socioeconomic status and physical health status of middle-aged men ($40's{\sim}60's$) in Ganghwa country. We interviewed 1,267 middle-aged men (602 male, 665 female) by trained interviewers using structured questionnaires including demographic information, general health status, and anthro-pometric measurements. And all the data were analyzed by chi-square test, Student's t-test and one-way ANOVA using SPSS 12.0 version at p<0.05. These results were that males were higher than females in educational levels (p = 0.000) and most of them decreased according to age in educational levels (p =0.000) and family income (p =0.000), and prevalence of chronic diseases (p =0.000): stomach-duodenum disease, fracture, arthritis, or hypertension. They took to the health information on TV and radio and their health managing methods were exercise and walking and resting and diet regulation. Body Mass Index (BMI) was decreased in oder males (p =0.024) but increased in older females (p=0.001). In females, obesity prevalence of 40's, 50's and 60's was 31.3%. 49.7% and 48.0%, respectively. Waist circumference was the highest in 50's males (p=0.015), but hip circumference was the highest in 50's females (p =0.015). Waist-hip ratio (WHR) increased in older males (p = 0.028) and females (p= 0.000). In spite of the subjects were engaged in agriculture and fishery and had desirable lifestyles obesity rate especially abdominal obesity, was the serious problem. Socioeconomic status, especially education and income were related to SRH (p=0.006, p=0.000), chronic disease (p=0.000) and BMI (p=0.028, p=0.000). Therefore, it is necessary that the public health policy and nutrition education programs to alter lifestyles and to improve health preservation and health promotion in the farming and fishing communities.

• 아동학회지
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• 제30권4호
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• pp.135-153
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• 2009

This study examined trends in private after-school lessons for preschoolers and elementary school children as a function of demographic characteristics such as children's age, socioeconomic status, and mothers' employment status. One thousand and sixty-three mothers completed questionnaires on demographic characteristics and their children's participation in private after-school lessons. Data were analyzed by chi-square, one-way ANOVA, t-test, and multiple regression analyses. Results demonstrated that older children and children from higher income and full-time homemaker families attended more private lessons. Age of children was the most influential variable among the demographic characteristics; that is, older children had more after-school lessons. Recommendations for future research are to focus on possible negative effects of excessive private lessons on children's socio-emotional development.

• 한국보건간호학회지
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• 제13권2호
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• pp.143-160
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• 1999

The purpose of this descriptive survey study was to examine the following items. 1) Score distribution of life satisfaction. powerlessness. perceived health status and self-esteem 2) Demographic characteristics and the affection of socioeconomic characterictics to life satisfaction. powerlessness. perceived health status and self-esteem 3) Correlationship between life satisfaction. powerlessness. perceived health status and self-esteem 4) Determining the factors affecting life satisfaction The subjects were 167 urban elderly people. Data were collected from May to July in 1998 using the questionaires. The data were analyzed by mean. ANOVA. Pearson correlation coefficient and stepwise multiple regression with SPSS win 7.5 program. The results were as follows : 1) The degree of life satisfaction and powerlessness were relatively low with the mean score of 42.4 and 39.79 respectively. and perceived health status and self-esteem were relatively high with the mean score of 3.15 out of 5 and 27.3 respectively. 2) There were no significant differences between demographic characteristics and life satisfaction. Education(F=2.91. p=0.02), previous employment(F=2.23. p=0.03) and marital status(F=3.85. p=0.04) showed significant differences in the relationship between demographic characteristics and powerlessness. Sex(F=6.40. p=0.0l). education(F=3.30. p=0.0l). marital status(F=7.13. p=0.008) and kinds of living togather(F=3.69. p=0.003) showed significant differences in the relationship between demographic characteristics and perceived health status. There were no significant differences between demographic characeristics and self-esteem. 3) Monthly allowance(F=3.68. p=0.007). participation in social activity(F=5.90. p=0.000) and number of social activities(F=5.27. p=0.000) showed significant differences in the relationship between socioeconomic characteristics and life satisfaction. Monthly allowance(F=3.13. p=0.01) and number of social activities(F=2.7. p=0.02) showed significant differences in the relationship between socioeconomic characteristics and powerlessness. There were no significant differences between socioeconomic characteristics and perceived health status. Montly allowance(F=4.82. p=0.001). particpation in social activity(F=2.90. p=0.02) and number of social activities(F=3.79. p=0.003) showed significant differences m the relationship between socioeconomic characteristics and self-esteem. 4) Powerlessness showed negative correltionship with perceived health staus(r=-0.295. p<0.001). self-esteem(r=-0.463. p<0.001) and life satisfaction(r=-0.514. p<0.001). Perceived health status showed positive correltionship with self-esteem(r=0.312. p<0.001) and life satisfaction (r=0.377. p<0.001). Self-esteem showed positive correlationship with life satisfaction(r=0.652. p(<0.001). 5) The predicting variances for life satisfaction m elderly people were self-esteem. powerlessness. participation in social activity and perceived health status. The most influencing factor among the variances was the self-esteem$(42.5\%)$ and powerlessness was the second. Both of self-esteem and powerlessness accounted for $48.2\%$ in life satisfaction. The addition of participation of social activity and perceived health status accounted for $52.9\%$ in life satisfaction.

• 대한가정학회지
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• 제40권11호
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• pp.119-130
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• 2002

This study investigated preschool children's script knowledge according to task situation and socioeconomic status. Subjects were seventy-eight 5-year-old children (38 low- and 40 middle-income children; 36 boys and 42 girls) recruited from three day-care centers in Seoul. Each child participated in the script knowledge assessment session. Assessment of script knowledge consisted of a picture-recognition and picture-sequencing task. Statistical methods used for data analysis were means, standard deviations, repeated measures ANOVA. Results showed that children's script knowledge scores were higher in familiar task situation than in unfamiliar task situation. Furthermore, middle-income children had higher scores of script knowledge than low-income children. Findings of this study indicate that there is the difference of script knowledge between low- and middle-income preschoolers.

• 대한가정학회지
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• 제26권3호
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• pp.1-12
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• 1988

The objectives of the study were two folds. The first objective was to determine the dimensions of the evaluative criteria of various clothing items (underwear, pajamas, jeans, blouse, two-piece, coat). The second objective was to compare the importance of the dimensions according to the clothing items and the socioeconomic status of the subjects. The questionnaires were administered to college female students living in Seoul. Principal component factor analysis with varimax rotation and ANOVA were used for the analysis. The results were as follows; 1) The evaluative criteria dimensions were found to be different according to clothing items. (1) In underwear, pajamas, jeans, evaluative criteria were classified into Aesthetic dimension, economic dimension and Functional dimension. (2) In blouse, two-piece, coat, evaluative criteria were classified into Aesthetic dimension and practical dimension. 2) there were partially significant differences in placing importance on each evaluative criteria dimension between socio-economic groups. (1) In jeans, there was a significant difference in placing importance on Aesthetic dimension between socioeconomic status groups. (2) In blouse and two-piece there was a significant difference in placing importance on Practical dimension between socioeconomic status groups.

• 지역사회간호학회지
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• 제12권3호
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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.

• 한국식생활문화학회지
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• 제10권4호
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• pp.255-268
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• 1995

We evaluated the nutritional and socioeconomical factors of 100 children aged $5{\sim}6$ years. Forty five children (45%) were selected from families with low socioeconomic status, while 55 children (55%) were from those with high socioeconomic status. Some differences of the nutritional factors (eating behavior, food preference, food frequency) were found between low and high socioeconomic groups. This survey suggest that eating behavior, food preference and food frequency may be useful in estimating nutritional factors. And the nutrition education for the children and their meal planners is necessary to improve the nutritional status of the subjects.

• 수산경영론집
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• 제42권1호
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• pp.71-83
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• 2011

An ecosystem-based fisheries management (EBFM) approach becomes more important as an alternative management method for a sustainable development of fisheries domestically and internationally. Many methods of applying a practical EBFM to fisheries management have been investigated, and considerable attention has been given to developing effective indicators of the present status of and changes in ecosystems and putting them to practical use. Among ecosystem indicators, developing socioeconomic indicators for EBFM is particularly important. This is because socioeconomic factors have direct effects on ecosystems, and ecosystems have direct effects on socioeconomic factors. Therefore, it is imperative that socioeconomic indicators are developed and evaluated in order to predict changes in ecosystems and to provide advice for effective fisheries management. This study is aimed to develop socioeconomic indicators which can be combined with biological and ecological indicators, in order to conduct the ecosystem-based fisheries assessment. In terms of socioeconomic indicators, five socioeconomic criteria were considered as important attributes of socioeconomic changes. These criteria include economical production, business conditions, income, market, and employment indicators. For evaluation of newly developed socioeconomic indicators, the Traffic Light System (TLS) method was used. In addition, on the basis of the application of developed indicators to the Korean large purse seine fishery, the socioeconomic conditions of the fishery and the usefulness of the indicators were evaluated and management implications were discussed.

• Asian Pacific Journal of Cancer Prevention
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• 제16권15호
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• pp.6303-6309
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• 2015

Differences in socioeconomic status (SES) such as income levels may partly explain why breast cancer screening (BCS) disparities exist in countries where health care services are free or heavily subsidized. However, factors that contribute to such differences in SES among women living in well resourced Middle East countries are not fully understood. This quantitative study investigated factors that influence SES and BCS of Arab women. Understanding of such factors can be useful for the development of effective intervention strategies that aim to increase BCS uptake among Arab women. Using data from a cross-sectional survey among 1,063 Arabic-speaking women in Qatar, age 35+, additional data analysis was performed to determine the relationship between socioeconomic indicators such as income and other factors in relation to BCS activities. This study found that income is determined and influenced by education level, occupation, nationality, years of residence in the country, level of social activity, self-perceived health status, and living area. Financial stress, unemployment, and unfavorable social conditions may impede women's participation in BCS activities in well resourced Middle East countries.

• 보건행정학회지
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• 제18권4호
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• pp.1-22
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• 2008

Burden of disease analysis provides a unique perspective on health by integrating fatal and non-fatal outcomes, yet allows the outcome of two classes to be examined separately. Although many studies have shown the inequality in health outcomes across socioeconomic status (SES), an analysis and comparison of Disability Adjusted Life Year (DALY) between different socioeconomic groups has been rare. This paper calculates the DALY and analyzes the distribution of DALYs for different SES. This study draws from 3,278 cases from the survey on "The Livelihood and Welfare Needs of the Elderly (2004)". It first provides a comprehensive assessment of the burden of 10 chronic diseases of the elderly based on DALY. Then this paper analyzes inequalities in the burden of disease by the levels of SES such as education, income, family size, occupation, and subjective economic conditions. For the elderly, the burden of disease is the highest for hypertension, arthritis and cancer. DALY rate per 1,000 people for the most socio-economically disadvantaged group is expressed as a multiple of the standardized rate for the least disadvantaged group (Rate Ratios). Family size is strongly related to. the difference in the burden of disease between SES groups, and the elderly Who live alone have higher DALY rate than those who live with their family. Other significant variables related to SES groups include subjective economic conditions, occupation, elderly income, and household income.