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- W2365439938 abstract "We investigate how the regional prevalence of hyperlipidemia is affected by health-related and socioeconomic factors with a special emphasis on geographic variations. We focus on the likelihood of hyperlipidemia as function of various region-specific attributes. We analysis a data set at the level of 249 small administrative districts collected from 2012 Korean Community Health Survey by Korea Centers for Disease Control and Prevention. To estimate, we use several methods including correlation analysis, multiple regression and decision tree model. We find that the average prevalence of hyperlipidemia in 249 small districts is 9.6% and its coefficient of variation is 28.3%. Prevalence of hyperlipidemia in continental and capital regions is higher than in southeast coastal regions. Further findings using decision tree model suggest that variations of hyperlipidemia prevalence between regions is more likely to be associated with rate of employee, level of stress, prevalence of hypertension, angina pectoris, and osteoarthritis in their regions." @default.
- W2365439938 created "2016-06-24" @default.
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- W2365439938 date "2015-08-28" @default.
- W2365439938 modified "2023-10-17" @default.
- W2365439938 title "Convergence analysis for geographic variations and risk factors in the prevalence of hyperlipidemia using measures of Korean Community Health Survey" @default.
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- W2365439938 doi "https://doi.org/10.14400/jdc.2015.13.8.419" @default.
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