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http://dx.doi.org/10.14400/JDC.2015.13.8.375

Convergence-based analysis on geographical variations of the smoking rates  

Lim, Ji-Hye (Dept. of Healthcare Management, Youngsan University)
Kang, Sung-Hong (Dept. of Health Policy and Management, Inje University)
Publication Information
Journal of Digital Convergence / v.13, no.8, 2015 , pp. 375-385 More about this Journal
Abstract
This study aims to identify geographical variations and factors that affect smoking rates. The data are collected from the Community Health Survey conducted between 2009 and 2011 by Korea Centers for Disease Control and Prevention and other government organizations. Correlation and multiple regression analysis were used to examine the factors influencing smoking rates. For the purpose of investigating regional variations, we employed a decision tree model. The study has found that the significant factors associated with geographical variations in the smoking rates were the rate of hazardous drinking, the completion rate of hypertension education, the experience rate of anti-smoking campaigns, stress awareness rate, hypertension prevalence, health insurance cost, diabetes prevalence, obesity rate, and strength training rate. Convergence-based analysis on geographical variations of the smoking rates is highly important when the regionally customized healthcare programs is implemented. In the future, it is necessary to develop effective program and customized approach for the regions of high smoking rates. Our study is expected to be used as meaningful data for the design of effective health care programs and assessments to lead effective non-smoking program.
Keywords
Smoking rate; Geographical variations; Korean Community Health Survey; Decision Tree Model; Convergence;
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Times Cited By KSCI : 2  (Citation Analysis)
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