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  1. NTU Theses and Dissertations Repository
  2. 公共衛生學院
  3. 環境與職業健康科學研究所
Please use this identifier to cite or link to this item: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/81134
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???org.dspace.app.webui.jsptag.ItemTag.dcfield???ValueLanguage
dc.contributor.advisor郭育良(Yue-Liang Guo)
dc.contributor.authorWan-Yu Linen
dc.contributor.author林宛俞zh_TW
dc.date.accessioned2022-11-24T03:32:19Z-
dc.date.available2021-08-18
dc.date.available2022-11-24T03:32:19Z-
dc.date.copyright2021-08-18
dc.date.issued2021
dc.date.submitted2021-08-09
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Suh, Association of neighborhood greenness with self-perceived stress, depression and anxiety symptoms in older U.S adults. Environ Health, 2018. 17(1): p. 39. 49.Janczura, M., et al., The relationship of metabolic syndrome with stress, coronary heart disease and pulmonary function--an occupational cohort-based study. PloS one, 2015. 10(8): p. e0133750-e0133750. 50.Pyykkönen, A.-J., et al., Stressful life events and the metabolic syndrome. Diabetes Care, 2010. 33(2): p. 378.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/81134-
dc.description.abstract"目的:隨著社會環境的變遷,人類壽命不斷延長、生活飲食型態轉變,慢性病逐漸成為現代人生活一大隱憂,而代謝症候群作為一集結現代常見慢性病之疾病總稱,更為近年來社會討論之議題,而綠地對於自然生態、社會環境、人類生心理健康皆有許多好處,包含提供就業機會、增加社會互動、促進人們外出運動、維持室外空氣品質、溫度等,然而過往研究中,不論是在全球或是臺灣皆缺乏探討綠地暴露與代謝症候群之相關研究證據,因此本研究目的為利用臺灣某醫療系統健檢服務資料庫以探究綠地暴露對於代謝症候群發生之影響。 方法:本研究為一長期追蹤世代研究,利用臺灣某醫療系統健檢服務資料庫以探討綠地暴露對於代謝症候群發生之影響,該健檢服務自1994年開始針對臺灣本土居民提供一系列之健康檢查、醫療諮詢服務,而本研究將2001年至2005年曾經使用過此健檢服務的民眾納入作為本研究樣本,並排除曾經被診斷患有心血管疾病、代謝症候群、年齡小於20歲、綠地暴露與疾病資料不完整之樣本後,持續追蹤至每位樣本在2016年前的最後一次健檢紀錄,探討該研究族群代謝症候群之發生率,綠地暴露所使用的資料為常態化差值植生指標(NDVI)及國土利用調查,利用此兩種資料所計算的綠地指標包含常態化差值植生指標之平均值、森林比例及森林最近距離三種,分析方法採用時間相依共變數之存活分析,Stata14.0為本研究所使用之資料整理與統計軟體。 結果:本研究最終納入34,329位研究樣本,並持續追蹤至每位參與者最後一次健檢紀錄,共計有5,385位研究樣本發生代謝症候群,在控制研究樣本之年齡、性別、婚姻狀況、吸菸、喝酒、飲食、運動習慣後,結果發現越多的綠地暴露可降低代謝症候群的發生風險卻未達顯著,在最高綠地暴露之組別中,發生代謝症候群之風險在500公尺與1000公尺緩衝區中分別下降4% (HR=0.959, 95% CI=0.883-1.042)及3% (HR=0.968, 95% CI=0.892-1.052),在後續分層分析中可發現女性、年齡大於65歲、居住在郊區的研究樣本對於綠地之效應更為明顯,對於居住在郊區之樣本而言,隨著綠地暴露越高,發生代謝症候群之風險在500公尺與1000公尺緩衝區中分別下降32% (HR=0.677, 95% CI=0.545-0.842)及27% (HR=0.730, 95% CI=0.576-0.924),而在代謝症候群五項判定標準中,綠地效應僅與三酸甘油酯有較為一致且呈保護作用之結果,隨著綠地暴露越高,發生三酸甘油酯超標之風險在500公尺與1000公尺緩衝區中分別下降13% (HR=0.875, 95% CI=0.809-0.946)及11% (0.890, 95% CI=0.823-0.962)。 結論:綠地暴露確實可有效降低代謝症候群與三酸甘油酯超標之發生,且對於居住於郊區之民眾,該效應更為明顯且達顯著,建議未來可思索如何利用更為科學化方式量化民眾在綠地所暴露的時間,並且多加探討各種綠地型態、植物種類對於健康效應之影響及途徑。"zh_TW
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dc.description.tableofcontents"誌謝 i 中文摘要 ii Abstract iv Contents vi List of Figures viii List of Tables ix List of Supplementary Table x List of Abbreviations xi Chapter 1 Introduction 1 Chapter 2 Methods 5 2.1. Study design and participants 5 2.2. Criterion of metabolic syndrome 5 2.3. Greenness exposure indicators 6 2.4. Confounding factors 7 2.5. Modification 8 2.6. Statistical analysis 8 Chapter 3 Results 10 3.1. Baseline characteristics of study population 10 3.2. Characteristics of greenness exposure indicators 10 3.3. Associations between greenness exposure and incident metabolic syndrome 11 3.4. Effect modification by gender, age, exercise habit, and urbanization level 12 3.5. Associations between greenness exposure and five components of metabolic syndrome 12 Chapter 4 Discussion 14 4.1. Comparisons with other studies 14 4.2. Potential mechanisms for the effect of greenness on human health 17 4.3. Strengths and limitations 17 Chapter 5 Conclusions 19 References 20"
dc.language.isoen
dc.subject代謝症候群zh_TW
dc.subject綠地zh_TW
dc.subject健檢資料庫zh_TW
dc.subject國土利用調查zh_TW
dc.subject常態化差值植生指標zh_TW
dc.subjectMetabolic Syndromeen
dc.subjectNational Land Use Investigationen
dc.subjectNormalized Difference Vegetation Indexen
dc.subjectMJ health screening databaseen
dc.subjectGreenness Exposureen
dc.title探討臺灣綠地空間對於代謝症候群發生之影響zh_TW
dc.titleLong-term exposure to residential greenness and occurrence of metabolic syndrome in Taiwanen
dc.date.schoolyear109-2
dc.description.degree碩士
dc.contributor.advisor-orcid郭育良(0000-0002-8530-4809)
dc.contributor.oralexamcommittee蘇大成(Hsin-Tsai Liu),楊孝友(Chih-Yang Tseng),黃敬淳,邱嘉斌
dc.subject.keyword代謝症候群,綠地,健檢資料庫,常態化差值植生指標,國土利用調查,zh_TW
dc.subject.keywordMetabolic Syndrome,Greenness Exposure,MJ health screening database,Normalized Difference Vegetation Index,National Land Use Investigation,en
dc.relation.page53
dc.identifier.doi10.6342/NTU202102227
dc.rights.note同意授權(限校園內公開)
dc.date.accepted2021-08-10
dc.contributor.author-college公共衛生學院zh_TW
dc.contributor.author-dept環境與職業健康科學研究所zh_TW
Appears in Collections:環境與職業健康科學研究所

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