• Journal of the Korean Home Economics Association
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• v.47 no.1
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• pp.25-43
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• 2009

The purpose of this study was to find how economic structures differ among four different household groups('enough', 'so so', 'a little difficult', 'very difficult') classified by subjective evaluation on their economic conditions. The data were drawn from 2004 Korean Labor and Income Panel Study conducted by Korea Labor Institute, and $X^2$-test and F-test were utilized by SPSS for Windows 10.0. The major findings were as following. First, the economic levels of household groups of 'enough' and 'so so' showed to be higher than the average. This result implies that households tend to evaluate by themselves their economic conditions comparing to the others. Second, the deviations of average economic levels among four different household groups were relatively bigger in household economic elements of liquid asset, monthly savings and insurance than the others, and relatively smaller in household economic elements of total expenditure, especially expenditures in food at home, education, medical, communication than the others. Third, the households of 'a little difficult' and 'very difficult' showed undesirable economic structures resulting from lack of savings and insurance for their future.

• Research in Community and Public Health Nursing
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• v.10 no.2
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• pp.525-536
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• 1999

The result of this study may be abstracted as follows. 1) The study was done on 48.3% seniors(138), 34.3% sophomores. and 17.5% juniors mostly ranging in age from 21 to 22, the largest number of students at 38.1%(109) were Christian. followed by 31.5%(90) were Confucian. 20.6%(59) who were Catholic. and 9.1%(26)who were Buddhist. 2) Concerning the economic views. 46.8%(134) preferred Capitalism 40.9%(117) preferred a combination of Capitalism and Socialism, 8.7%(25) were for more or less Socialistic in view point, and 3.5%(10) for Socialism. 3) Among the internal factors causing poverty, 'lack of ability(knowledge)', scored the highest at 3.528, and 'beauty or appearance' scored the lowest at 1.570. Social factors scored high in 'bad economic/tax policies' at 3.374 and 'low average in wages' at 3.364. Among family matters, 'not much money at home' scored the highest at 3.273, and 'low expectation of success in poor families' scored the lowest at 2.315. On concerns of fate and destiny. 'bad luck' turned out to be the most likely cause of poverty with the score of 2.619. and 'destined poverty' was the least likely cause with the score of 1.969. 4) The high scoring economical consequences of poverty was 'not able to do as one desires' at 3.965, and 'no money to buy things wanted' at 3.804. 'Gets tired of life' (4.028) scored high in psychological consequences showing that poverty affects these matters greatly. 'Looked down on by others' (3.538) scored high in social circumstances, and 'feels like a burden to society' scored low at 2.080. Among family matters. 'hard life' scored high at 4.210, and 'low morality' scored low at 1.972. 5) Significant differences(p= .00) were found between economic views and what significance certain internal factors caused poverty these differences were also related to a reliance on religion, economic views, and economic status. Significant differences were also found between economic status and internal factors causing poverty(p= .04), economic point of view and social factors(p= .01). and economical point of view and luck related matters, (p = .01) When the consequences of poverty were considered. psychological factors such as 'hate towards oneself', 'tired of life', and 'afraid of the future' showed significant differences in relation to economic status. (p = .02) Family matters also showed significant differences in relation to economic status(p= .03), With personal characteristics and wealth causing factors, significant differences were found between a person's economic point of view and ecinomic status when considering and internal or social factors.

• Journal of Preventive Medicine and Public Health
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• v.32 no.3
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• pp.276-288
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• 1999

Objectives: This study was performed to determine the relationships among health concern, health practice and health status of the disabled. Methods: A self-administered questionnaire survey was carried out for 1,662 disabled persons in Taegu city from April to July, 1997. Results: Health concern had a significant and positive relationship with health practice(p<0.05) and health practice also had a significant and positive relationship with self-rated health status(p<0.05) in men and women. To determine the structural model of the Health concern, health practice, health status and sociodemographic variables, the covariance structural analysis was used. In men, age, economic status, medical security type, educational level and type of disability had significant direct effects on Health concern(T>2.0). Educational level and type of disability had significant direct effects on health practice(T>2.0). And Economic status, medical security type and job status had significant direct effects on health status(T>2.0). In women, economic status and educational level had significant direct effects on Health concern(T>2.0). However there was no variable which had a significant direct effect on health practice. Job status had a significant direct effect or health status(T>2.0). In men and women, health practice was significantly increased with increasing health concern and the more health practice, the higher health status(T>2.0). Conclusions: It is recommended that the institutional approach which improve the economic status of the disabled with understanding their behavior and attitude should be established to increase health status, in addition, the health policy for encouraging the disabled, such as health education, consulting and health promotion program, should be done.

• The Journal of Korean Society for School & Community Health Education
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• v.15 no.2
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• pp.77-89
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• 2014

Objectives: This study examined the effects of middle school students emotional intelligence on their aggressiveness and interpersonal relationships. Methods: Data were collected by questionnaires from 316 middle school students in Daegu city. To analyze the sample survey data, descriptive statistics, t-test, ANOVA, pearson correlation coefficient and simple regression analysis were performed with SPSS/PC 18.0 program. Results: First, among the general characteristic differences, academic achievement and economic status yielded a significant difference in emotional intelligence. Gender, economic status, and educational background produced a significant difference in aggressiveness, while gender, academic achievement, and economic status showed a significant difference in interpersonal relationships. Second, an examination of the correlation among emotional intelligence, aggressiveness, and interpersonal relationships found that the higher the emotional intelligence, the lower the aggressive, and the higher the interpersonal relationships. Third, general characters and emotional intelligence explain 22% of agressiveness. Gender, age, economic status, and emotional intelligence have a significant influence on agressiveness. Fourth, the general characters and emontional intelligence explain 45,5% of interpersonal relationships. The economic status and emotional intelligence have a significant influence on the interpersonal relationship. Conclusion: Based on the results, the study is of great importance, in that it provides the basis for future studies, which can be used to help school teachers and students' parents understand the importance of adolescents emotional intelligence and promote the students' quality school life.

• Journal of Preventive Medicine and Public Health
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• v.41 no.1
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• pp.51-60
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• 2008

Objectives : We examined the effect of sociodemographic factors, cancer, and psychiatric disorders on suicide by gender and age-specific patterns in South Korea. Methods : The study is a case-control study. Claim data was obtained from the national health insurance database and national death registration database. The number of people who committed suicide was 11,523, which was matched with a control group consisting of ten times as many people at 115,230 selected from the national health insurance and medical aids beneficiaries. The medical utilization of the case group was one year before death and that of the control group was from July 1,2003 to June 30, 2004. Four variables-address, economic status, presence of a psychiatric disease, and cancer-were used in multiple logistic regression analyses. Results : Living in cities or in rural areas showed a greater risk for suicide than living in a metropolitan city. Low economic status, the presence of a psychiatric disorder, and cancer were also statistically meaningful risk factors for suicide. The three major psychiatric diseases, schizophrenia, alcohol abuse, and bipolar disorder, were meaningful in all age groups, but the scale of the odds ratio differed by the age group. Only the psychiatric disorder variable was meaningful in the adolescent group, whereas a psychiatric disorder and economic status were meaningful for the young adult group, and all variables were meaningful for the middle-aged group. A psychiatric disorder and cancer were meaningful in the elderly group, economic status was meaningful for male subjects, and address was meaningful for female subjects. Conclusions : Factors such as living in city or rural areas, low economic status, the presence of a psychiatric disorder, and cancer were statistically meaningful risk factors in suicide. These factors also differed by age group. Therefore, policymakers should establish policies for suicide prevention that are relevant for each age group.

• Women's Health Nursing
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• v.28 no.3
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• pp.187-196
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• 2022

Purpose: The purpose of this study was to investigate factors related to the levels of health-related quality of life (HRQoL) in elderly women based on Wilson and Cleary's HRQoL model. Methods: This study analyzed data from the eighth Korea National Health and Nutrition Examination Survey 2019 on 868 women over the age of 65 years. Based on the HRQoL model, parameters were categorized as personal, environmental, and physiological characteristics; symptom status; functional status; and perception of health status. The data were analyzed by quantile regression. Results: The overall level of HRQoL was 0.87. Factors related to HRQoL in the 10% quantile were higher education level, higher economic status, economic activity, more walking days, fewer diseases, lower stress, less activity limitation, and higher perceived health status. Factors related to the 25% quantile of HRQoL were more walking days, fewer diseases, less activity limitation, and higher perceived health status. Factors related to the 50% quantile were age, economic activity, more walking days, fewer disease, lower stress, less activity limitation, and higher perceived health status. Factors related to the 75% quantile of HRQoL were smoking, more walking days, fewer diseases, lower stress, less activity limitation, and higher perceived health status. Conclusion: While differing parameters were identified according to the level of HRQoL of elderly women in Korea, there were five common factors. Interventions that focus on increasing walking, mitigating diseases, stress, and activity limitations, and improving perceived health status can improve HRQoL.

• Journal of Family Resource Management and Policy Review
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• v.19 no.4
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• pp.95-120
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• 2015

This study aimed to investigate the levels of assets and income of male- and female-headed households. A series of analyses of data from the 2013 Korean Household Finance and Welfare Survey on the economic resources of single-parent households were conducted. One of the major findings was that in a comparison between male-headed households and female-headed households, the levels of assets and income in female-headed households were lower than those in male-headed households. The labor income in male households was almost two times higher than that in female households. Housing conditions with respect to male households were more secure and better than those in female households. The factors influencing the levels of economic resources in single-parent households varied in terms of the type of economic resources. Gender, employment status, family characteristics and household income were statistically significant factors with respect to the levels of assets in single-parent households. The level of household income was influenced by gender, education, employment status and the number of household members. The effect of employment status on housing conditions was significant.

• The Journal of Korean Society for School & Community Health Education
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• v.20 no.2
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• pp.25-36
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• 2019

Purpose: The purpose of this study was to examine the factors affecting of health screening among persons with disabilities. Method: The study examines the factors affecting of health screening using over 20 years of age who participated in the 2017 National survey of the disabled data. Subjects were 6,332 person with disabilities over 20 years of age. Data were analyzed using descriptive statistics, X2-test, multiple logistic regression with the SPSS win 21.0 program. Results: Health screening among persons with disabilities is differentiated with education level, marital status, Subjective House economic status, Health insurance, Economic activity, Type of disability, Grade of disability, Stress recognition, Depressive symptom, Suicidal thinking, Suicidal attempt, and grade of disability. The significant predictors of the health screening were age, Subjective House economic status, Economic activity, and Grade of disability. Conclusion: We should consider age, disability level, and economic level when developing a screening program for people with disabilities. Especially, the development and promotion of the health screening program for persons with disabilities and related education are required.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.8
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• pp.433-442
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• 2021

This research examines the financial performance of Village and Urban Community Funds (VFs). The study also explores the beneficial effects of the biggest microfinance programs in the world in the lower and lowest income provinces; specifically, whether VFs change household economic status or not. The data is collected uniquely from the village funds in four provinces of each region in Thailand which considerably reflect the government achievement. Accordingly, several financial ratios have been applied to evaluate the financial efficiency of the village funds, and the ordered logit model has been used to estimate the impact on economic variables of the poor. The findings show that the village funds do not improve the savings, income, consumption, and asset of VFs' members, although such funds have a higher financial performance. Furthermore, the VFs are a good substitute compared to the Bank for Agriculture and Agricultural Cooperatives (BAAC) credit because the cross-price elasticity of quantity of demand for such loans is positive. In particular, the loans from village funds are insignificantly correlated with the debt, income, asset, and economic status of VF members. This implies that Thai Village Funds do not alleviate definitely the serious problem about the financial situation in rural provinces. Thus, this microfinance does not change the economic well-being of the poor.

• Journal of Families and Better Life
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• v.20 no.6
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• pp.81-93
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• 2002

The purpose of this study is to analyze the effects of household income drops on household economic status during economic crisis periods. Using the data taken from Korean Household Panel Study for 1996 and 1998, it was investigated how household income change affected household income, expenditure, and assets/debt. The economic status change of the income-decreased group was compared with that of the income-increased group. The major findings were as follows: Average income of the total sample was 1,905 thousand won in 1996, while 1,419 thousand won in 1998. The household of which income was decreased during the period was 65.1% of total sample. Average income of the group was reduced from 2,263 thousand won to 1,239 thousand won. Among income sources, the amount of income from real asset was found to be the highest decreasing rate, and the amounts of both business and employed-work income were reduced almost up to an half of those in two years ago. The amounts for all expenditure categories were also decreased with decreasing household income. Especially the expenditures for food away from home, leisure, durable, recreation, and vehicle-related expense were found to have the highest income elasticity. The households with decreased income were found to reduce household expenditures by 377 thousand won per month, which was 70.9% of that in 1996. Decreases in household income resulted in decreases in net wealth by 10,170 thousand won. With decreases in household income, the amounts of total insurance and private savings such as gye were decreased, and so were the amounts of real assets and monetary assets.