지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2024.12
- 수록면
- 264 - 275 (12page)
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초록· 키워드
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Objectives: This study utilized data from the 2020–2021 Korean National Health and Nutrition Examination Survey to analyze the determinants affecting household PM<sub>2.5</sub> levels.
Methods: PM<sub>2.5</sub> concentrations were measured using a portable dust sampler (KMS-4100, KEMIK) with gravimetric methods over a 24-hour period. A complex samples multivariable general linear model and logistic regression were employed to evaluate the key influencing factors.
Results: In the continuous analysis, significant determinants that increased household PM<sub>2.5</sub> levels were atmospheric PM<sub>2.5</sub> (B = 0.386, P < 0.001), housing floor level (B = –0.254, P = 0.007), residential floor area (B = –0.065, P = 0.001), humidifier use (B = 4.680,P = 0.010), cooking activity (B = 6.370, P = 0.021), smoking (B = 4.411, P = 0.020), and residential zoning area (B = 6.298, P = 0.017). In the categorical analysis, key factors that increased the likelihood of household PM<sub>2.5</sub> exceeding 35 µg/㎥ were residential floor area (odds ratio [OR] = 0.219, P = 0.006), smoking (OR = 2.253, P = 0.030), and residential zoning area (OR = 8.667, P = 0.012).
Conclusion: These results suggest that smoking bans and improvements in ventilation systems are necessary to reduce household PM<sub>2.5</sub> levels.
Methods: PM<sub>2.5</sub> concentrations were measured using a portable dust sampler (KMS-4100, KEMIK) with gravimetric methods over a 24-hour period. A complex samples multivariable general linear model and logistic regression were employed to evaluate the key influencing factors.
Results: In the continuous analysis, significant determinants that increased household PM<sub>2.5</sub> levels were atmospheric PM<sub>2.5</sub> (B = 0.386, P < 0.001), housing floor level (B = –0.254, P = 0.007), residential floor area (B = –0.065, P = 0.001), humidifier use (B = 4.680,P = 0.010), cooking activity (B = 6.370, P = 0.021), smoking (B = 4.411, P = 0.020), and residential zoning area (B = 6.298, P = 0.017). In the categorical analysis, key factors that increased the likelihood of household PM<sub>2.5</sub> exceeding 35 µg/㎥ were residential floor area (odds ratio [OR] = 0.219, P = 0.006), smoking (OR = 2.253, P = 0.030), and residential zoning area (OR = 8.667, P = 0.012).
Conclusion: These results suggest that smoking bans and improvements in ventilation systems are necessary to reduce household PM<sub>2.5</sub> levels.
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