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RISS 인기검색어
- 검색키워드
- 저자 : ( Geunjoo Na ) (검색결과 3 건)
- 무료
- 기관 내 무료
- 유료
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Lifestyle Resulting in Seasonal PM2.5 Reduction and Its Impact on COPD
( Hajeong Kim ),( Geunjoo Na ),( Shinhee Park ),( Seung Won Ra ),( Sung-yoon Kang ),( Ho Cheol Kim ),( Hwan Cheol Kim ),( Sei Won Lee ) 대한결핵 및 호흡기학회 2021 대한결핵 및 호흡기학회 추계학술대회 초록집 Vol.129 No.-
Background Particulate matter (PM) is a major air pollutant that has been raising global health concerns and it can cause and progress chronic obstructive pulmonary disease (COPD). To provide an effective seasonal strategy to reduce PM diameter < 2.5um (PM2.5) exposure, we performed detailed questionnaire about lifestyles to avoid PM2.5 in patients with COPD and analyzed the relationship between ambient PM2.5 and lifestyles. Methods We enrolled 104 COPD patients prospectively from four hospitals of different areas in Korea. Detailed questionnaire were conducted two times and Internet of things based sensors were installed at their home for continuous measurement of PM2.5 concentration for a year. The relationship between PM2.5 concentration, lifestyles, and COPD exacerbation were analyzed as seasons. Results Except summer, outdoor PM2.5 were higher than indoor, and the difference was the largest in winter (4.31±.02ug/m3) (Figure1). Some lifestyles were effective to reduce indoor PM2.5 compared to outdoor and effect lifestyles were different as seasons. The lifestyles which lowered annual indoor PM2.5 compared to outdoor significantly include 1) indoor air purifier operated (4.69±1.12ug/m3, p=0.001), 2) ventilating home by opening windows (-5.29±0.89ug/m3, p <0.001), 3) checking filters of the air purifier (-4.00±1.01ug/m3, p=0.031), 4) refraining from going out when outside PM2.5 is high (-3.8±1.26ug/ m3, p=0.038), 5) choosing places with little traffic when going out (-3.39±1.09ug/m3, p=0.020), and 6) windows closed while driving (-4.33±0.77ug/m3, p=0.002). The higher the economic status and educational level, the lower indoor PM2.5 was noted compared to outdoor(Figure2). There were lifestyles associated with lower small airway resistance presented as R5-R20 from impulse oscillometry and SGRQ-C and those lifestyles include checking air quality forecast and indoor mopping. Conclusion Lifestyle habits were associated with indoor PM2.5 concentrations, and they can even affect clinical outcomes including small airway resistance and quality of life in COPD.
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The Impact of Life Behavior and Environment on Indoor Particulate Matter in Patients with COPD
( Hajeong Kim ),( Geunjoo Na ),( Shinhee Park ),( Seung Won Ra ),( Sung-yoon Kang ),( Ho Cheol Kim ),( Hwan Cheol Kim ),( Sei Won Lee ) 대한결핵 및 호흡기학회 2020 대한결핵 및 호흡기학회 추계학술대회 초록집 Vol.128 No.-
Background The human health effects of exposure to air pollutants is a global public health concern. To develop the effective strategy to reduce PM exposure, we performed detailed questionnaires about the lifestyle to avoid PM in patients with chronic obstructive pulmonary disease (COPD) and correlated it with the real-time PM concentration during winter season. Methods We enrolled 110 COPD patients of 40 years or older. The detailed questionnaires were taken from participants and IoT based sensors were installed at their home to measure indoor PM2.5 concentration. Indoor PM2.5 was continuously monitored from Dec 2019 to Feb 2020. The associations of PM2.5 concentration, their lifestyles, and their impact on COPD exacerbation were analyzed. Results Mean outdoor PM2.5 concentration was higher than indoor PM2.5 this period (21.28±5.09ug/m3 vs. 12.75±7.64ug/m3) with mean difference of 8.53±7.99ug/m3. Among the various social and practice factors to avoid PM, economic status and six items about practice were confirmed to reduce indoor PM2.5 compared with outdoor one, in other word, make significant difference between outdoor and indoor PM2.5. The higher the household income and economic level, the greater the difference in the PM2.5 concentration. Six practice items to make significant difference in the PM2.5 concentrations between indoor and outdoor were as below; 1) checking air quality forecast (the difference: 13.31±1.35ug/m3 ,p=0.013), 2) indoor air purifier operated (15.43±1.32ug/m3, p <0.001), 3) ventilating home by opening windows (13.14±1.28ug/m3, p=0.013), 4) checking filters of the air purifier (13.95±1.50ug/m3, p=0.002), 5) refraining from going out when outside PM is high (12.52±1.37ug/m3, p=0.039), 6) wearing a mask when going out (13.38±1.32ug/m3, p=0.017). For COPD acute exacerbation, we found that the subjects experienced more exacerbation, as the exposure time of PM2.5≥35ug/m3 or PM2.5≥75ug/m3. Conclusion The lifestyle can affect the indoor PM2.5 concentration, which can also impact the risk of exacerbation in patients with COPD.
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( Jin-young Huh ),( Hajeong Kim ),( Geunjoo Na ),( Shinhee Park ),( Seung Won Ra ),( Sung-yoon Kang ),( Ho Cheol Kim ),( Hwan-cheol Kim ),( Sei Won Lee ) 대한결핵 및 호흡기학회 2021 대한결핵 및 호흡기학회 추계학술대회 초록집 Vol.129 No.-
Background The high concentration of particulate matter of diameter < 2.5mm (PM2.5) is a known risk factor of COPD. However, there have been few prospective studies that measured ambient PM2.5 of individual COPD patients. We aimed to prospectively evaluate the seasonal individual PM2.5 concentrations and assess their clinical impact. Methods A total of 105 COPD patients were followed-up for one year. Individual PM2.5 concentrations were monitored continuously, indoors by sensors installed at patients’ residence, and outdoors by national observatories. Clinical parameters were evaluated at three months interval. The relationships between PM2.5 concentrations and clinical parameters were evaluated with Pearson correlation and linear regression analysis. Results The mean age of patients was 68.2 ± 7.2 years and 92.4% were male (Table 1). The mean indoor and outdoor PM2.5 concentrations were 16.2 ± 8.4μg/m3 and 17.2 ± 5.0μg/m3 respectively. The season with the highest concentration was winter (indoor: 18.8 ± 11.7μg/m3; outdoor; 22.5 ± 5.0μg/m3). The indoor/outdoor ratio was the lowest in winter (0.837) followed by spring (0.918), fall (1.059) and summer (1.112) (Figure 2). Saint George’s Respiratory Questionnaire for COPD (SGRQ-C) and acute exacerbation (AE) had significant correlation with PM2.5 levels. The correlations were most prominent in winter and absent in summer (Figure 2). In linear regression, changes in SGRQ-C in winter was the largest with duration of PM2.5 ≥ 35μg/ m3, six days before (β: 1.089, 95% confidence interval (CI): 0.216-1.962; p < 0.001) and changes in AE in winter was the largest with duration of PM2.5 ≥ 75μg/m3, four days before (β: 0.246, 95% CI: 0.102-0.390; p < 0.001). Conclusions There were seasonal patterns in ambient PM2.5 concentration, and its impact on clinical parameters of individual COPD patients. SGRQ-C and AE were affected by PM2.5 and the effect was most notable in winter.
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