The Effects of Air Pollution, Land-use Types, and Normalized Difference Vegetation Index on Atopic Diseases at 12 Months among Children in the Greater Taipei Area 公开
Lee, Cha (Spring 2020)
Published
Abstract
Abstract:
Background: In Taiwan, the prevalences of asthma, atopic dermatitis, and allergic rhinitis have been increasing, causing a heavy economic burden. Air pollution, land-use types, and normalized difference vegetation index (NDVI) may be associated with atopic diseases. This study aims to investigate the relationships between the outcome of atopic diseases at 12 months and exposure of air pollution, land-use types, and NDVI in the Taipei Greater area.
Methodology: This retrospective cohort study is a secondary analysis of data from multiple sources. Participant and outcome data were obtained from self-reported questionnaires about 360 babies and their parents as part of the Longitudinal Examination across Parental and Postpartum Health in Taiwan (LEAPP-HIT) project (1). LEAPP-HIT data were combined with air pollution, land-use type, and NDVI data from the Environmental Protection Agency’s (EPA) air quality monitoring stations, National Land Surveying and Mapping Center, and US space Agency’s Moderate Resolution Imaging Spectroradiometer global planting database. Chi-square Tests, Student’s T-tests, and Wilcoxon Signed-Rank Tests were first performed to select potential variables for the logistic regression model selection. Logistic regression analysis was then performed to build the univariate and multivariate logistic regression models. After that, the bi-pollutant analysis was performed to provide evidence for the air pollutant in multivariate logistic regression model.
Result: From 2011 to 2014, a total of 360 mothers had reported the atopic disease status for their children aged 0-12 months in Taipei, Taiwan. Under stepwise logistic regression model selection, NO2 concentration during the second trimester (p <0.001), playground within 1000 meters (p = 0.01), and NDVI within 750 meters during child’s 0-12 months (p=0.01) were all significantly associated with atopic diseases at 12 months. When stratified by sex, the effect estimate of NO2 concentration during the second trimester on atopic disease was significantly higher among male babies. In addition, NO2 concentration during the second trimester remained significant when input in the bi-pollutant models with other pollutant indicators.
Conclusion: This study identified potential environmental risk factors of these atopic diseases and may have important environment policy implications on improving public health in Taiwan.
Table of Contents
Table of Contents
Acknowledgements
Chapter 1: Introduction
Background of the Problem
Taiwan Atopic Diseases Problem
Statement of the Problem
Purpose of the Study
Significance Statement
Definition of Terms
Chapter 2: Comprehensive Review of the Literature:
Air Pollutants
CO
NO
NO2
NOx
SO2
PM10
PM2.5
Normalized Difference Vegetation Index
Land-use Types
Road
Farm
Factory
Demographic Characteristics
Sex
Educational Level
Smoking
Atopy
Relevance to the Study
Chapter 3: Manuscript
Introduction:
Methodology:
Study Design and Sample:
Data Collection for Participants:
Exposure Assessment
Outdoor Air Pollution Concentration Assessment
Land-use Types
Normalized Difference Vegetation Index
Data Analysis
Results:
Discussion:
Significant Primary Exposures and Covariates
Adjustment of Covariates
Stratification by Sex
Chapter 4: Conclusion, Limitation, and Recommendation
Conclusion:
Recommendation for Future Study
Tables, Figures, and Maps:
Reference:
About this Master's Thesis
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