한국 성인의 천식 발생 영향요인: 비만 및 전신적 염증 상태를 중심으로
Factors Influencing Asthma in Korean Adults: A Focus on Obesity and Systemic Inflammation
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Purpose: This study was conducted to identify factors influencing asthma, with a focus on obesity and systemic inflammation, in Korean adults. Methods: This study was a secondary analysis of data from the sixth Korea National Health and Nutrition Examination Survey (2015). A total of 3,693 individuals aged ≥19 years were included. The prevalence of asthma was 1.6% in the normal weight group (n=23), 1.4% in the overweight group (n=13), and 2.9% in the obese group (n=39). Data included markers associated with systemic inflammation such as high sensitivity C-reactive protein level, leukocyte count, hemoglobin level, and hematocrit value based on previous studies. The results were analyzed using a complex sampling design analysis and by multiple logistic regression analysis with SPSS WIN 24.0 program. Results: In the obese group, age between 50 and 59 years (adjusted odds ratio [AOR]=14.06, 95% confidence interval [CI]=1.84-27.14); age between 60 and 69 years (AOR=3.30, 95% CI=1.34-8.14); age ≥70 years (AOR=3.22, 95% CI=1.31-7.93); female gender (AOR=2.32, 95% CI=1.12-4.78); leukocyte count (AOR=1.18, 95% CI=1.01-1.38), and hemoglobin levels (AOR=0.60, 95% CI=0.45-0.81) were identified as factors influencing asthma. Conclusion: The results can be used to develop nursing interventions to prevent asthma associated with obesity in hospitals or home-based healthcare settings.
Abstract
Purpose: This study was conducted to identify factors influencing asthma, with a focus on obesity and systemic inflammation, in Korean adults. Methods: This study was a secondary analysis of data from the sixth Korea National Health and Nutrition Examination Survey (2015). A total of 3,693 individuals aged ≥19 years were included. The prevalence of asthma was 1.6% in the normal weight group (n=23), 1.4% in the overweight group (n=13), and 2.9% in the obese group (n=39). Data included markers associated with systemic inflammation such as high sensitivity C-reactive protein level, leukocyte count, hemoglobin level, and hematocrit value based on previous studies. The results were analyzed using a complex sampling design analysis and by multiple logistic regression analysis with SPSS WIN 24.0 program. Results: In the obese group, age between 50 and 59 years (adjusted odds ratio [AOR]=14.06, 95% confidence interval [CI]=1.84-27.14); age between 60 and 69 years (AOR=3.30, 95% CI=1.34-8.14); age ≥70 years (AOR=3.22, 95% CI=1.31-7.93); female gender (AOR=2.32, 95% CI=1.12-4.78); leukocyte count (AOR=1.18, 95% CI=1.01-1.38), and hemoglobin levels (AOR=0.60, 95% CI=0.45-0.81) were identified as factors influencing asthma. Conclusion: The results can be used to develop nursing interventions to prevent asthma associated with obesity in hospitals or home-based healthcare settings.
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