학술논문
지역사회건강조사결과를 활용한 남성의 연령별 흡연율의 연도별 변화
Document Type
Academic Journal
Author
Source
한국산학기술학회 논문지. 2024-04 25(4):69-78
Subject
Language
Korean
ISSN
1975-4701
2288-4688
2288-4688
Abstract
본 연구는 담배규제정책의 기획 및 평가에 활용할 수 있는 가능성을 모색하고자 연령별 흡연율의 연도별 변화에 대해 조사하였다. 2008년부터 2018년까지의 지역사회건강조사자료 중 남자흡연율 관련 자료를 제공받아 조사하였다. 연도별 흡연율 변화에 따른 유의성 검정은 일반화 선형모형(Generalized linear model; GLM)으로 분석하였다. 연도별, 연령별 흡연율의 유의성 검정은 이원배치분산분석(Two-Way-ANOVA)을 실시하였다. 최고 흡연율 연령은 2008년, 2009년에는 각각 32세, 2018년은 40세였다. 최고 흡연율 전의 증가 속도는 연도별로 다르게 나타났고, 19세에서 30세까지의 흡연율 증가폭은 2008년은 19세의 3배, 2018년은 2배를 상회하였다. 담배규제정책은 모든 연령층의 흡연율 감소에 기여하였으나 특히 40세 이하 연령군의 흡연율 감소에 현저한 영향을 미쳤다. 중앙정부 중심의 정책과 평가 기능을 광역자치단체에 부여하여 담배규제정책이 현장에 잘 전달되도록 하는 것이 필요하다.
This study investigated annual changes in smoking rates by age to explore means of planning and evaluating tobacco control policies. Data on male smoking rates were extracted from Community Health Survey data from 2008 to 2018 and analyzed. The significances of changes in annual smoking rates were analyzed using a generalized linear model (GLM), and two-way analysis of variance (Two-Way-ANOVA) was used to test the significance of the effects of year and age on smoking rates. Peak smoking ages were 32 in 2008 and 2009 and 40 in 2018. The rate of increase before the peak smoking age differed by year, and in 2008, the rate of increase in smoking between the ages of 19 and 30 was three times that of 19 years old and more than twice that observed in 2018. Tobacco control policies contributed to reductions in smoking rates in all age groups but had a particularly significant impact on smoking rates among those under 40. Metropolitan governments should be responsible for central government-centered policy and evaluation functions to ensure that tobacco control policies are well communicated.
This study investigated annual changes in smoking rates by age to explore means of planning and evaluating tobacco control policies. Data on male smoking rates were extracted from Community Health Survey data from 2008 to 2018 and analyzed. The significances of changes in annual smoking rates were analyzed using a generalized linear model (GLM), and two-way analysis of variance (Two-Way-ANOVA) was used to test the significance of the effects of year and age on smoking rates. Peak smoking ages were 32 in 2008 and 2009 and 40 in 2018. The rate of increase before the peak smoking age differed by year, and in 2008, the rate of increase in smoking between the ages of 19 and 30 was three times that of 19 years old and more than twice that observed in 2018. Tobacco control policies contributed to reductions in smoking rates in all age groups but had a particularly significant impact on smoking rates among those under 40. Metropolitan governments should be responsible for central government-centered policy and evaluation functions to ensure that tobacco control policies are well communicated.