시군구 지역별 성인의 비만율 차이 및 영향요인
Regional Disparity in Adult Obesity Prevalence, and Its Determinants
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Objectives: The purpose of this study was to examine the factors affecting regional disparities in the prevalence of adult obesity. Methods: This study is an ecological study in which the unit of analysis were 229 local authorities (si = 78, gun = 82, and gu = 68). The data were obtained from database (ver 1.1) of community health outcomes and health determinants (2015-2017) and Community Health Survey data (2018-2019). Multiple regression analysis was used to identify factors related to the prevalence of obesity in 4 groups (all regions, si, gun, and gu). Results: The prevalence of regional obesity varied 23.5% to 45.15% with a mean of 34.13%. Obesity prevalence was highest in ‘gun’, and lowest in ‘gu’ area. In the overall model, sociodemographic characteristics including sex ratio (β= 0.26), household income over 3 million won (β= -0.23), and the unemployment (β= -0.18)), high-risk drinking (β= 0.18), and satisfaction with public transportation (β= -0.24) were associated with the prevalence of regional obesity. Other than those things, in ‘si’ area, population density, walking practice, in ‘gun’ area, participation in social activity were associated with the prevalence of regional obesity. Conclusions: To reduce obesity prevalence and it’s regional disparities, it is important to make intervention and prevention efforts taking into account the socioeconomic and physical environmental characteristics of the region as well as health behaviors.
Abstract
Objectives: The purpose of this study was to examine the factors affecting regional disparities in the prevalence of adult obesity. Methods: This study is an ecological study in which the unit of analysis were 229 local authorities (si = 78, gun = 82, and gu = 68). The data were obtained from database (ver 1.1) of community health outcomes and health determinants (2015-2017) and Community Health Survey data (2018-2019). Multiple regression analysis was used to identify factors related to the prevalence of obesity in 4 groups (all regions, si, gun, and gu). Results: The prevalence of regional obesity varied 23.5% to 45.15% with a mean of 34.13%. Obesity prevalence was highest in ‘gun’, and lowest in ‘gu’ area. In the overall model, sociodemographic characteristics including sex ratio (β= 0.26), household income over 3 million won (β= -0.23), and the unemployment (β= -0.18)), high-risk drinking (β= 0.18), and satisfaction with public transportation (β= -0.24) were associated with the prevalence of regional obesity. Other than those things, in ‘si’ area, population density, walking practice, in ‘gun’ area, participation in social activity were associated with the prevalence of regional obesity. Conclusions: To reduce obesity prevalence and it’s regional disparities, it is important to make intervention and prevention efforts taking into account the socioeconomic and physical environmental characteristics of the region as well as health behaviors.
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