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研究生(外文):Ma, Ling-Yu
論文名稱(外文):Relation between Fine Particles Exposure and Respiratory Inflammation Biomarkers
指導教授(外文):Lai, Ching-HuangLiou, Saou-Hsing
口試委員(外文):Lai, Ching-HuangLiou, Saou-HsingKuo, Hsien-WenTang, Chin-ShengHuang, Han-Bin
外文關鍵詞:PM2.5Personal Environmental MonitorLung fuctionFeNOCC16
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流行病學研究指出空氣中的懸浮微粒與呼吸系統的健康效應有關,而細懸浮微粒(PM2.5) 粒徑小可吸入至肺泡與支氣管末端或穿透細胞膜,將汙染物帶入循環系統中,帶來的健康危害較PM10大,而台灣目前也較少探討空氣中的懸浮微粒與呼吸系統的健康效應之相關研究。故本研究目的為探討暴露於細懸浮微粒對肺功能、呼吸道發炎反應指標變化。

本研究採縱貫性研究設計,研究對象招募由工業區附近招募32位及住商混和區招募50位,共82位無慢性病、肺部疾病之健康者,並兩個月後進行第一次追蹤。本研究收集問卷、生物檢體、個人空氣採樣等資料,探討肺功能與肺部發炎生之變化,及基準點與第一次追蹤之縱貫分析,其統計分析使用 Generalized linear model和Generalized estimating equation。

研究發現控制可能的影響因素後,PM2.5濃度每增加10μg/m3,FEV1/FVC%顯著下降-0.73% (95% CI,-1.33~-0.12, p=0.02),CC16則增加1.04% (95% CI,0.00~0.03, p=0.05)。若將PM2.5濃度20 μg/m3作為切點,PM2.5濃度大於20μg/m3的人,其FEV1/FVC%、PEF%顯著低於PM2.5濃度小於20 μg/m3,而CC16則是顯著高於PM2.5濃度小於20 μg/m3,在縱貫分析上,控制其它影響因素後,第一次追蹤與基準值相比,PM2.5每增加10μg/m3,其FVC%百分比改變顯著下降10.33%、CC16百分比改變顯著增加24.04%。


Numerous studies have shown that particulate matter is associated with respiratory system health effect. The different aerodynamic diameters of the particles and the different deposition locations in the respiratory system cause different harmful effects on human beings. Like PM2.5 is aerodynamic diameter≦2.5μg/m3 and the pollution can reach a large surface area. It is more prone to carrying a variety of toxic heavy metals and other chemicals in alveolar and bronchial ends. It can enhance antigen-presenting by Endocytosis of macrophages, or enter the blood circulation system by lung air exchange to reach the other organs and causing the damage of structure and function in the respiratory.

This study aimed to assess the relationship between PM2.5 exposure and lung inflammation and lung function in healthy adults.

For this longitudinal study, we recruited 82 subjects from 2 different areas (Area A [residential and commercial area] and Area B [industrial area]) in Taipei Metropolitan at baseline. We investigated pulmonary and inflammation markers and lung function. We used personal samplers to collect 24 hours PM2.5 exposure samples. Venous blood and urine samples were collected on the next day morning. And serum clara cell protein (CC16), nitric oxide inexhaled breath (FeNO) were measured as inflammation markers and lung function was measured as health effects. All of subjects were repeated measured after two months. Statistical Methods used Generalized linear model and Generalized estimating equation.

We found FEV1/FVC% decreasing -0.73% as PM2.5 increasing 10μg/m3 , while CC16 increasing 1.04% as PM2.5 increasing 10μg/m3. And people who exposed PM2.5 levels above 20 μg/m3 the lung function parameters (FVC%, PEF%) were lower than that of exposed PM2.5 under 20 μg/m3, CC16 would be higher compared to that of PM2.5 exposure under 20 μg/m3 . In addition, after controlling for confounding factors , the first repeated follow-up , as PM2.5 increasing 10 μg/m3,CC16 increasing 24.04% and FVCdecreasing 10.33% compared with that of baseline .

We conclude young healthy subjects exposed to PM2.5 can lead to lung function decreasing or lung inflammation.

表目錄 III
圖目錄 IV
附錄目錄 V
中文摘要 VI
Abstract VII
第一章 緒論 1
第一節 研究背景 1
第二節 研究重要性 2
第三節 研究目的 4
第二章 文獻探討 5
第一節 細懸浮微粒來源 5
第二節 各國PM2.5濃度法規標準 8
第三節 細懸浮微粒的暴露評估 11
第四節 細懸浮微粒的毒性 13
第五節 肺功能及肺部發炎指標 15
第六節 細懸浮微粒與呼吸系統相關之流行病學研究 21
第三章 研究方法與步驟 25
第一節 研究設計與架構 25
第二節 研究對象 27
第三節 研究工具 28
第四節 資料收集方法與步驟 35
第五節 實驗品質管制與保證 37
第六節 資料處理與統計分析 40
第四章 研究結果 41
第一節 研究對象描述性統計與檢定 41
第二節 個人採樣與環境測站之PM2.5濃度 43
第三節 研究對象肺功能指標之描述與檢定 44
第四節 研究對象發炎反應標記之描述與檢定 47
第五章 討論 50
第一節 研究對象選取與兩地區濃度差異比較 51
第二節 PM2.5濃度探討 53
第三節 PM2.5對於肺部的影響 54
第四節 研究限制 58
第六章 結論與建議 59
第一節 結論 59
第二節 建議 60
參考文獻 61

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