지역사회건강조사 자료를 활용한 경상북도 일부 소지역의 현재흡연율과 건강행태 차이
Differences of Current Smoking Rates and Health Behaviors in Specific Small Areas of Gyeongsangbuk-do Using Community Health Survey Data
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초록
Objectives: This study analyzed the current smoking rates and health behavior factors in the small area level of G-si and M-si in Gyeongsangbuk-do, which have similar urban-rural complex characteristics. Methods: To analyze the health behavior factors influencing current smoking rates in G-si and M-si, a complex sample design logistic regression analysis was conducted. Additionally, a small area estimation method was applied to analyze the patterns of current smoking rates and health behaviors by small area. The data used for the analysis was sourced from the Community Health Survey conducted from 2013 to 2022. Results: Significant health behavior factors influencing current smoking rates in G-si included high-risk drinking, stress awareness, self-rated health, and brushing teeth after lunch the previous day. In M-si, the significant factors were monthly drinking, high-risk drinking, stress awareness, self-rated health, and brushing teeth after lunch the previous day. The small area analysis results showed that areas with high smoking rates were located in Dong, where high smoking rates were related with poor drinking behaviors and elevated stress levels. In contrast, Myeon with low smoking rates showed better participation in walking and moderate to vigorous physical activity. Conclusions: The analysis of small area in G-si and M-si revealed that smoking rates and health behaviors differ between Dong and Eup/Myeon. Therefore, when developing intervention strategies at the small area level, it is important to consider the characteristics of each specific area.
Abstract
Objectives: This study analyzed the current smoking rates and health behavior factors in the small area level of G-si and M-si in Gyeongsangbuk-do, which have similar urban-rural complex characteristics. Methods: To analyze the health behavior factors influencing current smoking rates in G-si and M-si, a complex sample design logistic regression analysis was conducted. Additionally, a small area estimation method was applied to analyze the patterns of current smoking rates and health behaviors by small area. The data used for the analysis was sourced from the Community Health Survey conducted from 2013 to 2022. Results: Significant health behavior factors influencing current smoking rates in G-si included high-risk drinking, stress awareness, self-rated health, and brushing teeth after lunch the previous day. In M-si, the significant factors were monthly drinking, high-risk drinking, stress awareness, self-rated health, and brushing teeth after lunch the previous day. The small area analysis results showed that areas with high smoking rates were located in Dong, where high smoking rates were related with poor drinking behaviors and elevated stress levels. In contrast, Myeon with low smoking rates showed better participation in walking and moderate to vigorous physical activity. Conclusions: The analysis of small area in G-si and M-si revealed that smoking rates and health behaviors differ between Dong and Eup/Myeon. Therefore, when developing intervention strategies at the small area level, it is important to consider the characteristics of each specific area.
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