우리나라 청년(19세∼34세)의 성별에 따른 삶의 질 영향요인 - 제7기(2016년∼2017년) 국민건강영양조사 자료를 이용하여 -
Factors Influencing the Quality of Life by Gender in Korean Youth(19-34 Years Old) - Using Data from the 7th Korea National Health and Nutrition Examination Survey (2016-2017) -
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Objectives: The purpose of this study was to identify factors that affect the quality of life(QOL) of Korean youth (19-34 years old) by gender. This is a secondary data analysis study using data from the 7th (2016-2017) Korea National Health and Nutrition Examination Survey. Methods: The subjects were 3,196. For the data analysis, using the SPSS 23.0 program, Rao_Scott χ2-test, and regression analysis with a complex sample design were performed. Results: Factors affecting the QOL of young people were different between men and women. The factors affecting men's QOL were education level, working hours, subjective health status, depression for over two weeks, stress level, smoking, and diagnosis of depression. The factors affecting women's QOL were education level, working hours, subjective health status, depression for two weeks or longer, and stress level. Comparing the gender differences, it was confirmed that the diagnosis of depression and smoking had an effect only on men. Conclusions: In order to improve the QOL of young people, it is necessary to develop policies and programs that consider gender.
Abstract
Objectives: The purpose of this study was to identify factors that affect the quality of life(QOL) of Korean youth (19-34 years old) by gender. This is a secondary data analysis study using data from the 7th (2016-2017) Korea National Health and Nutrition Examination Survey. Methods: The subjects were 3,196. For the data analysis, using the SPSS 23.0 program, Rao_Scott χ2-test, and regression analysis with a complex sample design were performed. Results: Factors affecting the QOL of young people were different between men and women. The factors affecting men's QOL were education level, working hours, subjective health status, depression for over two weeks, stress level, smoking, and diagnosis of depression. The factors affecting women's QOL were education level, working hours, subjective health status, depression for two weeks or longer, and stress level. Comparing the gender differences, it was confirmed that the diagnosis of depression and smoking had an effect only on men. Conclusions: In order to improve the QOL of young people, it is necessary to develop policies and programs that consider gender.
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