The relationship between socio-economic status and food and nutrient consumption patterns was studied in 7,370 Koreans aged 20 years and older in the 1995 Korean Health and Nutrition Survey. The aim of this study was to investigate the effect of rapid economic growth on food and nutrient consumption for Korean adults in the last 30 years. Monthly household income, and individual's educational level and occupation were chosen as variables of socio-economic status for individuals. A one day 24 hour recall method was used for the dietary survey. One way analysis of varience was adopted to test tole association between socio-economic variables and food and nutrient consumption patterns. Individuals who had a high socio-economic status had significantly higher daily intake of most of the nutrients including calcium, vitamin A, vitamin B$_2$which reached above the recommended dietary allowances(RDA) and a higher percentage energy consumption from fat. In addition, individual who belonged to a low socio-economic status consumed less animal foods, including meat, egg, milk and consumed low proportion of energy from fat. The results suggest that in spite of rapid economic growth during the last 30 years in Korea, individuals who belonged to low sorio-economic status categories are still nutritionally vulnerable. Among the sorio-economic variables, income and education except occupation were the influential factors on the food and nutrient consumption of Koreans. Therefore, nutrition policy should focus on influencing the dietary patterns of lower social class individuals to improve the health status of the population as a whole.
Purpose: To identify the relationship among economic status, health status and health promotion behavior in school-aged children. Methods: Data was collected from 308 fifth-grade children in Seoul. The instruments used were the self-reported questionnaires on economic status by McLoyd, health status by Shin, and health promotion behavior by Ki. Data was analyzed by SPSS WIN 12.0 program, using descriptive statistics, t-test, ANOVA, and Pearson correlation coefficient. Results: Economic status and health status were negatively correlated (r=-.30), as were economic status and health promotion behavior (r=-.26). The relationship between Health status and health promotion behavior were positively correlated (r=.20). Health promotion behavior was significantly related with sex. father's education, mother's education and school record. Conclusions: These results suggested that health status and health promotion behavior in school-age children are affected by economic status.
The Journal of Asian Finance, Economics and Business
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제7권11호
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pp.541-548
/
2020
This study aimed to explain the factors that influenced an individual's decision to migrate. The method of analysis in this study was the estimation of the probit regression model with data from the Indonesian Family Life Survey (IFLS-5), which covered 30,000 individuals from 13 provinces in Indonesia. Data from IFLS-5 were longitudinal data, meaning that the study was looking for data consistently to get reliable data from respondents. The research variables to determine the individual's decision to migrate were education level, income level, employment status, marital status, land ownership status, health quality, gender, residence status, and poverty status. Individual decision to migrate as a dependent variable was placed as a dummy variable. The results showed that the level of education, income level, employment status, marital status, land ownership status, health quality, and poverty status significantly influenced an individual's decision to migrate. Meanwhile, gender and residence status did not significantly affect an individual's decision to migrate. This research recommends that it is necessary to pursue a policy of economic equality between regions because economic factors are the main trigger for an individual's decision to migrate. Policies to overcome economic disparities among regions will reduce the individual's decision to migrate.
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.
The objective of this study was to investigate the differences in food intake patterns by the economic status. Data from the 1998 Korean National Health and Nutrition Survey were used. Using the poverty line based on the 1998 Korean minimum cost of living, the subjects (n = 10400) were classified into high class (36.1%), middle class (40.7%) and low class (23.1%). Mean intakes for other food groups except grains, potatoes and vegetables became higher as the eco-nomic levels were going up. By the family size, it was found that intakes of grains and fishes were different (p<0.05). By the economic status, intakes of fruits (p<0.05), meats (p<0.05) and fishes (p<0.01) were different. There were no significant differences in consumed types of food by the economic status. Rice was the most prevalent food in all clas-ses and its intakes increased as the economic status was going down. In the dietary patterns of main food group (GMDVF: Grain, Meats, Dairy, Vegetable and Fruit), the pattern except dairy (11011) revealed the highest proportion in high-middle class while the patterns without dairy and fruit food groups (11010) had the highest proportion in low class. The propor-tions of subjects with the low dietary diversity score (DDS) increased as economic status was going down (p<0.01). The food groups that most people do not consume were the dairy and fruit group. Proportions of people who missed one or more group increased as economic status was going down. The high dietary variety score (DVS) also was linked to a high score on the DDS and high class (p<0.01). Thus the intakes of the dairy and fruits product should be increased in all classes. The low class especially had worse quality of food intakes pattern than that of the high or middle class. The nutrition policy and education programs need to be established according to the economic status.
The objective of this study was to investigate difference in the diet by the kind of meal and the economic status. Nutrient contents at each meals were compared and differences in food intake at different meal were analyzed by economic status. Data from the 1998 Korean National Health Examination Nutrition Survey were used. Using the poverty line based on the 1998 Korean minimum cost of living, the subjects (n = 10400) were classified into high class (36.1%), middle class (40.7%) and low class (23.1 %). Most nutrient intakes were obtained for main meals regardless of economic status. For high class, breakfast, lunch, dinner and snacks bring about 21, 29, 30 and 19 % of total energy intake, for middle class 22, 29, 30 and 19% and for low class 24, 30, 30 and 16%, respectively. The high-middle class people tend to get more food intakes and nutrients at dinner and snacks, while the low class at main meals. This result was associated with the consumption of a smaller number of meals and a greater number of snacks daily as the economic level was going up (p 〈 0.05). Meals contributed to energy, protein and fat intake, and snacks to water, retinol and vitamin C. The food intakes by food group were different at meals by economic class. Seaweed product were popular breakfast foods in both middle and low groups. Thus three meals such as breakfast, lunch and dinner still delivered most of the energy and most of the macro-nutrients regardless of economic status.
Purpose: The purpose of this study was to examine the health behaviors and health status of adolescents in multicultural families according to gender. Methods: The study used raw data of the Korean Youth Risk Behavior Web-Based Survey performed in 2016. The 12th survey was conducted on 67,983 adolescents in 400 middle schools and 400 high schools. Among them, 759 adolescents were included in this study. Their data were analyzed using descriptive statistics, $x^2$-test, and Pearson's correlation. Results: There were significant differences in economic status, smoking experience, age of drinking onset, vigorous physical activity, soft drink consumption, toothbrushing after lunch, handwashing with soap before eating at school and eating at home and after coming home, BMI, subjective health status, stress, depression, and allergic rhinitis according to gender in multicultural adolescents. For boys, significant positive correlations were found between age and the age of drinking onset, between academic achievement and economic status, and between the age of smoking initiation and the age of drinking onset. However, there were significant negative correlations between economic status and stress and between subjective health status and stress. For girls, age had positive correlations with academic achievement, the age of drinking onset, BMI, and stress and economic status had positive correlations with academic achievement, the age of smoking initiation, and subjective health status. Also, the age of smoking initiation had positive correlations with the age of drinking onset and BMI. Lastly, there were negative correlations between age and economic status, between age and subjective health status, academic achievement and the age of smoking initiation, economic status and stress, and subjective health status and stress. Conclusion: The results of this study are expected to be useful as basic data for planning health interventions for boys and girls in multicultural families.
The purpose of the study was to provide the informations about the economic status of elderly households. Utilizing the 1996 national household data, economic status was investigated by the components of two financial statements: the income and expense statement and the balance sheet statement. Thus it included incomes, consumption, propensity to consume, savings(financial assets), debt amount and net-savings. The elderly households were compared with the nonelderly households. The subgroups of the elderly were also compared. They were divided based on the employment status of the head and household composition. The results showed that the economic status of the elderly was worse compared to the nonelderly. There were also variations among the subgroups of the elderly households. In general, the economic status of retired households and single households were worse than those of employed households and of the households composed of couple and the elderly living with children.
Background: Cancer imposes significant economic challenges for individuals, families, and society. Households of cancer patients often experience income loss due to change in job status and/or excessive medical expenses. Thus, we examined whether changes in economic status for such households is affected by catastrophic health expenditures. Materials and Methods: We used the Korea Health Panel Survey (KHPS) Panel $1^{st}-4^{th}$ (2008-2011 subjects) data and extracted records from 211 out of 5,332 households in the database for this study. To identify factors associated with catastrophic health expenditures and, in particular, to examine the relationship between change in economic status and catastrophic health expenditures, we conducted a generalized linear model analysis. Results: Among 211 households with cancer patients, 84 (39.8%) experienced catastrophic health expenditures, while 127 (40.2%) did not show evidence of catastrophic medical costs. If a change in economic status results from a change in job status for head of household (job loss), these households are more likely to incur catastrophic health expenditure than households who have not experienced a change in job status (odds ratios (ORs)=2.17, 2.63, respectively). A comparison between households with a newly-diagnosed patient versus households with patients having lived with cancer for one or two years, showed the longer patients had cancer, the more likely their households incurred catastrophic medical costs (OR=1.78, 1.36, respectively). Conclusions: Change in economic status of households in which the cancer patient was the head of household was associated with a greater likelihood that the household would incur catastrophic health costs. It is imperative that the Korean government connect health and labor policies in order to develop economic programs to assist households with cancer patients.
The purposes of this study were to show general trends in the aspects of psychological family environment (parental communication), peer factor, academic performance factor, depression perceived by adolescents and to examine possible changes in such trends in accordance with demographic variables and the family structure environment (parental marital status, family economic status, and parents' education level), and then to determine the effect of these variables on adolescents' depression. The subjects were 1009 middle and high school students in Seoul and Gyeonggi province. The main results were as follows: 1) Paternal communication was significantly lower in technical high school students, divorced/ separated parents, and families of lower economic status. Maternal communication was significantly lower in male students, divorced/sepa-rated parents, and families of lower economic status. Academic performance problems was significantly higher in males, technical high school students, divorced/ separated parents, families of lower economic status, and a less educated father. Peer relations was significantly lower in students of divorced / separated parents, and of families of lower economic status. Depression was significantly higher in technical high school students, divorced / separated parents, and families of lower economic status. 2) In the case of male students, paternal communication had both a direct and an indirect negative effect through peer relations on depression, while academic performance problems had both a direct and an indirect positive effect through peer relations on depression. Both peer relations and maternal communication had a positive and a negative direct effect on depression. School grade had both a direct and an indirect negative effect through paternal communication on depression. Parental marital status(divorced or separated) had both a direct and an indirect positive effect through academic performance problems on depression. Family economic status had only an indirect effect on discussed.
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