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KMID : 0613620210410030007
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Health Social Welfare Review
2021 Volume.41 No. 3 p.7 ~ p.22
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Spatio-temporal Patterns of High-risk Drinking Rates in Korea Si-gun-gu
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Kim Yea-Eun
Park Jong-Ho
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Abstract
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An effective and efficient intervention to prevent high-risk drinking is required at the national and regional levels as high-risk drinking has become more prevalent and problematic in men and women of of all ages. This study examined the spatial and temporal patterns of high-risk drinking and suggested a community-based public health intervention strategy. We utilized the high-risk drinking rates from 2008 to 2020 for 243 regions in Korea using data from Korea Centers for Disease Control and Prevention.
To analyze the spatio-temporal patterns of high-risk drinking rates, spatial autocorrelation analysis of ArcGIS pro 2.6.0, emerging hotspot analysis, and Forest-based time series forecast analysis were performed. The spatial autocorrelation analysis revealed the regional clusters of high-risk drinking rates for every year from 2008 to 2020. The specific regions where interventions may be required as their priority were identified by emerging hotspot analysis; intensifying hotspots and persistent hotspots included Hoengseong-gun, Yeongwol-gun, Gangneung-si, Donghae-si, Samcheok-si, Pyeongchang-gun, Jeongseon-gun in Gangwon-do.
The results highlight the importance of considering regional clusters for the management of high-risk drinking. For better interventions on high-risk drinking, public health strategy and cooperation at both the national and local levels should be enhanced by concentrating limited manpower and resources.
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KEYWORD
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High-risk Drinking Rates, Spatial Autocorrelation, Emerging Hotspot, Forest-based Time Series Forecast
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