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  4. Individual and Environmental Factors of Insomnia: Individual and Environmental Factors of Insomnia: A Spatial and Multilevel Analysis
 
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Individual and Environmental Factors of Insomnia: Individual and Environmental Factors of Insomnia: A Spatial and Multilevel Analysis

Date Issued
2014
Date
2014
Author(s)
Hu, Yu-Ting
URI
http://ntur.lib.ntu.edu.tw//handle/246246/262736
Abstract
Background and objectives: The prevalence of insomnia in Taiwan had been rising. Insomnia have negtive impacted on physical, psychologic and quality of life. Past studies had proven that sleeping quality was affected by individual and environment factors. So our purpose of this study is to understand after controlling individual factors whether insomnia were affected by the living environment, and how to interact with environmental factors. Methods: Participants were identified from National Health Insurance enrollees in Taiwan in 2005 and 2010. Individuals with insomnia were identified using The International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnostic and procedure codes of 780.52, 307.41, and 307.42. And. First we explored the spatial cluster of insomnia rates by spatial analysis, including global spatial autocorrelation and local spatial autocorrelation with Queen rule as spatial weights matrix, then used multiple regression and spatial regression to determine the effect of living environment factors (dependency, emigration and sports facilities rates)analysis on insomnia. Multilevel logistic models including random coefficient model, intercept-as-outcome and slopes-as-outcome model were employed to access the relationship between environment factors and individual’s factors(age, sex, socioeconomic status and health condition). Result: Our results indicate that there are some significant clusters of insomnia rates in Taiwan in 2005 and 2010, and the most significant is in adults(18-65 year-old), And in spatial regeression found that living in development marginalization(high dependency and emigration rate) had high insomnia rate, the sports facilities rates only had influence on high socioeconomic towns. In addition, results from multilevel logistic models indicated that female, old, low socioeconomic status and bad health condition had a higher chance of getting insomnia; and after controlling for individual factors a person who lived in development marginalization was more likely to getting insomnia. Conclusion: Our study found that there are significant clusters of insomnia rates in Taiwan,and after controlling individual factors insomnia were affected by the living environment.
Subjects
失眠
環境因子
運動環境
空間分析
多階層分析
Type
thesis
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ntu-103-R01848013-1.pdf

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