천식환자의 삶의 질 영향요인; 2015년 지역사회 건강조사를 바탕으로
Factors Affecting the Quality of Life of Asthmatic Patients; Based on the 2015 Community Health Survey
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초록
이 연구는 우리나라 천식환자들의 삶의 질 영향요인을 규명하고자 실시되었다. 2015년 지역사회건강조사 자료 중에서 성실히 답한 자료만을 선택하여 분석하였다. 본 연구의 대상자 수는 3,140명이며, 수집된 자료는 SPSS WIN 21.0로 대상자의 일반적인 특성과 삶의 질 관련 특성은 빈도와 백분율, 평균과 표준편차를 구하였다. 본 연구의 결과 천식환자의 삶의 질은 성별(r=-0.13, p=〈0.001), 나이(r=-0.353, p=〈0.001), 평생흡연(r=-0.067, p=〈0.001), 현재흡연(r=-0.088, p=〈0.001), 평생음주(r=-0.158, p=〈0.001), 1회음주량(r=-0.154, p=〈0.001), 아침식사횟수(r=-0.109, p=〈0.001)와 음의 상관을 보였고, 월소득(r=0.310, p=〈0.001), 간접흡연(r=0.098, p=〈0.001), 수면(r=0.045, p=0.012, 스트레스(r=0.095, p=〈0.001), 우울경험(r=0.212, p=〈0.001), 암검진(r=0.063, p=〈0.001), 인플루엔자 접종(r=0.182, p=〈0.001)과 양의 상관을 보였다. 성별, 나이, 월소득, 1회음주량, 아침식사, 스트레스, 우울경험, 암검사은 천식환자의 삶의 질을 22.7% 설명하는 것으로 나타났다.
Abstract
This study aims to discover degree of Quality of life(QOL) among asthma in Korea and identify factors influencing the tendency to QOL. For the study, it targeted 3,140 asthma persons for a final analysis except data whose QOL related factors could not be evaluated from the data of the Community Health Survey, 2015. The design of this research is descriptive correlation study to analyze the predictive factors influencing the QOL. A self-report survey was conducted. Data were analyzed using descriptive statistics, with SPSS WIN 21.0 program. The results of this study showed that the quality of life of asthmatic patients was negative correlation between gender (r = -0.13, p = <0.001), age (r = -0.353, p = <0.001), lifetime drinking (r = -0.158, p = <0.001) -0.109, p = <0.001), respectively. And positive correlation between monthly income (r=0.310, p=〈0.001), and secondhand smoke (r = 0.098, p = 0.001), sleep (r = 0.045, p = 0.012), stress (r = 0.095, p〈0.001) depression experience (r = 0.212, p = <0.001), cancer screening (r = 0.063, p = <0.001) and influenza vaccination (r = 0.182, p = <0.001). The above mentioned dependent factors were explicable causes of 22.7% of QOL according to the regression model. Significantly predictors are Sex, age, monthly income, one time drinking, breakfast, stress, depression experience, cancer screening.
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