Earticle

Objectives: The purpose of this study is to identify the life satisfaction of women with disabilities and the factors affecting their life satisfaction to improve their quality of life. Methods: This study used secondary data, the 2020 Survey of the Disabled. The subjects were 2,725 women with disabilities aged 20 or older who responded to the survey. The SPSS Windows 26.0 program was used for data analysis. Technology analysis, chi-test, and multi-logistic analysis were performed to identify the factors affecting the life satisfaction of women with disabilities. Results: Age, education level, marital status, type of medical insurance type, subjective economic status, disability severity, subjective health status, health screening, chronic disease, stress, depression, suicidal ideation, and variables that can go out alone. As a result of multi-logistic regression analysis on factors affecting life satisfaction of women with disabilities, it was analyzed that education level, marital status, subjective economic status, subjective health status, health screening, chronic disease, stress cognitive status, depression, suicide ideation, and variables that can go out alone had a statistically significant effect. Conclusion: Based on the analysis results of this study, it is required to develop and operate health education and health promotion programs for physical and mental health management of women with disabilities.

Objectives: This study aims to examine factors affecting depression of adolescents by using the data of the 17th Korean Youth Health Risk Behavior Survey(2020). Methods: The total sample was 54,848 students who are in middle or high school. In this study, sociodemographic variables, health behavior variables, and stress were input to examine the effect on depression. The data was analyzed with χ2-test and hierarchical regression by SPSS statistic program. Results: The results showed that depression was related to sociodemographic factors, health behaviors, and stress factors. In the result of hierarchical regression analysis, it was found that not only stress but also other variables had an effect on depression, which had a statistically significant effect. Conclusions: It was found that there are various causes such as environmental aspects and health behaviors that surround adolescents' depression rather than a single factor such as stress. Also, stress and depression are reciprocal rather than causal. Adolescents should be subdivided into groups such as grade, gender, or academic performance to relieve stress and depression at the same time through specific interventions.