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KMID : 1138720170430030091
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Korean Public Health Research
2017 Volume.43 No. 3 p.91 ~ p.108
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Factors Related with Regional Variations of Health Behaviors and Health Status : Based on Community Health Survey and Regional Characteristics Data
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Jeong Jin-Young
Kim Chun-Bae
Shin Min-Ho
Ryu So-Yeon
Hong Jee-Young
Kim Nam-Hee
Yoon Tae-ho
Hwang Sun-Hwi
Kim Hyeong-Su
Kim Keon-Yeop
Lee Hwa-Kyung
Kim Myoung-Hee
Kim Dong-Hyun
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Abstract
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Objective : This study was performed to investigate the magnitude and pattern of small area variations defined by Si-gun-gu and to explore the factors related to these variations in the prevalences of smoking, drinking, physical activity, oral health, hypertension and diabetes mellitus (DM) management, and cardiovascular death rates, using 2009 Community health survey (CHS) data.
Methods : The unit of analysis was 253 counties surveyed at 2009 CHS. Analysis dataset was constructed of secondary data extracted from Korean Statistical Information Service (KOSIS) and data from CHS. Magnitude and pattern of area variations in the given health behaviors and health status were examined with Extremal Quotient (EQ) and Coefficients of Variation (CV) of Small Area Variation Analysis (SAVA). Ecologic analysis using linear regression model was used to explore the related factors with these variations.
Results : In all dependent variables, the variations between areas were statistically significant. Variations in smoking rates appear to be positively related with several variables, such as regional deprivation index, crude divorce rate, obesity rate, and number of bars per 1,000 person, and negatively with level of educational attainment, number of smoking cessation program in that area. The variables related with high monthly drinking rate were number of bars per 1,000 person, higher budget for welfare, and less park area (m2) per person. As the number of registered motor vehicles per person increases, the obesity rates became higher and rates of walking exercise decreased. The related factors with rates of physician diagnosed hypertension were proportion of elderly people aged 65 or over and of those with basic needs. Age-standardized cardiovascular disease death rates were found to be related with unemployment rate and low financial independence of that area. The variables related with total injury experience rate were monthly household equalization income, Unmeet health care need, obesity in urban, and Elderly percent, Vote rate, Depressive symptom in rural. In particular, regional deprivation index was associated only in urban after adjusting related factors.
Conclusions : These results will help us to set up policy development for population-based health promotion through reducing the gap of health-related indices between area. Further researches are needed to maximize academic value of CHS data.
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KEYWORD
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Small area variation, Health behavior, Health status, Ecologic study, Community health survey
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