• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.167-168
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• 2022

본 연구에서는 장애인 삶 1차년도(2018) 패널데이터 중 20세이상의 성인 가구원데이터를 활용하여 장애인가구원의 우울과 자살생각 사이에 장애수용정도와 자아존중감의 매개효과를 검증하고자 한다.

• Korean Journal of Social Welfare
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• v.59 no.1
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• pp.251-274
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• 2007

Although linkages between poverty and disability are often noted, until recently they have not been systematically examined in Korea. Many people with disabilities tend to become poorer because they lack access to jobs. And income support programs are not sufficient. But more severe is people with disabilities in labor market tend to be poor. The purposes of this study were to explore the characteristics of working poor with disabilities and to identify the major determinants of poverty. For this, '2005 Survey on the Workers With Disabilities' was used. The data was analyzed by descriptive statistics, t-test, logistic regression. The results showed that gender, age, education level, marital status, region where they live, the number of the household member, the severity of disability, the onset of disability are significant predictors in determining their poverty status. Also employment status, occupation type, industry type, numbers of years in current job are major determinants of their poverty status. Finally, based on these results several policy implications were presented.

• Korea Journal of Hospital Management
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• v.21 no.4
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• pp.55-62
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• 2016

Purposes: The industry has specialized and fragmented than in the past. As a factor of economic growth and industrialization, the number of people employed in primary industry decreased and the number of people employed in secondary and third industry continuously increased. In modern times, incidence of chronic disease is increasing according to industrial development. So, the purpose of this study was to analyze the chronic disease according to Clark's industrial classification. Methodology: Data were derived from the 2012 Korea Health Panel. The sample was made up of 7,132 adult participants aged 20 or over selected Korea Health Panel by probability sampling from Korea. Binary logistic regression analysis was conducted to examine the main factors associated with chronic disease. Findings: The significant factors associated with chronic disease were gender, age, marital status, household member, education level, insurance type, disability, BMI, and industrial classification. Female, elderly, divorced(including bereavement, missing and separation), one-person households, less than high school graduation, medical aid, disability, obese and primary industry were confirmed chronic disease increases. Practical Implications: The study finds that primary industry's prevalence of chronic disease was higher than secondary and third industry. Therefore, this study aims to management and effort of the worker who engaged in the primary industry. Policy development is required to address inequality or popularization of the differences in these factors by conducting a study to define the working conditions and socio-economic factors between industry.