Skip Navigation
Skip to contents

Epidemiol Health : Epidemiology and Health

OPEN ACCESS
SEARCH
Search
Advanced Search
mobile menu button

Search

Page Path
HOME > Search
2 "Yong Ho Jee"
Filter
Filter
Article category
Keywords
Publication year
Authors
Erratum
Age-period-cohort analysis of smoking prevalence among young adults in Korea
Yong Ho Jee, Sung-il Cho
Epidemiol Health. 2016;38:e2016029.   Published online July 8, 2016
DOI: https://doi.org/10.4178/epih.2016029
Corrects: Epidemiol Health 2016;38:e2016010
  • 12,938 View
  • 199 Download
  • 2 Crossref
AbstractAbstract PDF
Abstract
This article was initially published in the Epidemiology and Health 2016;38:e2016010, with an error in Figure 1C that duplicated Figure 1E. The authors would like to correct Figure 1C as below.
Summary

Citations

Citations to this article as recorded by  
  • Mediation of Smoking Abstinence Self-Efficacy on the Association between Nicotine Dependence and the Intention to Quit Smoking
    Yongho Jee, Gyu Ri Kim, Mikyung Ryu, Sung-il Cho
    Journal of the Korean Society for Research on Nicotine and Tobacco.2023; 14(3): 110.     CrossRef
  • Gender and tobacco epidemic in South Korea: implications from age-period-cohort analysis and the DPSEEA framework
    Sera Kim, Garam Byun, Garam Jo, Dahyun Park, Sung-Il Cho, Hannah Oh, Rockli Kim, S V Subramanian, Sungha Yun, Kyungwon Oh, Jong-Tae Lee, Min-Jeong Shin
    BMJ Open.2022; 12(4): e058903.     CrossRef
Original Article
Age-period-cohort analysis of smoking prevalence among young adults in Korea
Yong Ho Jee, Sung-il Cho
Epidemiol Health. 2016;38:e2016010.   Published online March 19, 2016
DOI: https://doi.org/10.4178/epih.e2016010
Correction in: Epidemiol Health 2016;38(0):e2016029
  • 19,004 View
  • 339 Download
  • 10 Web of Science
  • 6 Crossref
AbstractAbstract AbstractSummary PDF
Abstract
OBJECTIVES
Smoking prevalence among Korean men in their thirties is substantially high (approximately 50%). An in-depth analysis of smoking trends among young adults in their twenties is necessary to devise antismoking policies for the next 10 years. This study aimed to identify the contributions of age, period, and birth cohort effects on smoking prevalence in young adults.
METHODS
Subjects comprised 181,136 adults (83,947 men: 46.3%; 97,189 women: 53.7%) aged 19 to 30 years from the 2008-2013 Korea Community Health Survey. Smoking prevalence adjusted with reference to the 2008 population was applied to the age-period-cohort (APC) model to identify the independent effects of each factor.
RESULTS
For men, smoking prevalence rapidly escalated among subjects aged 19 to 22 years and slowed down among those aged 23 to 30 years, declined during 2008 to 2010 but stabilized during 2011 to 2013, and declined in birth cohorts prior to 1988 but stabilized in subjects born after 1988. However, in APC models, smoking prevalence increased with age in the 1988 to 1991 birth cohort. In this birth cohort, smoking prevalence at age 19 to 20 years was approximately 24% but increased to 40% when the subjects turned 23 to 24 years. For women, smoking prevalence was too low to generate consistent results.
CONCLUSIONS
Over the past six years and in recent birth cohorts, smoking prevalence in adults aged 19 to 30 years has declined and is stable. Smoking prevalence should be more closely followed as it remains susceptible to an increase depending on antismoking policies or social conditions.
Summary
Korean summary
우리나라 남자의 30대와 40대의 흡연율은 약 50% 수준으로 매우 높다. 앞으로 10년 뒤에 이들 연령대로 진입하는 20대와 30대 젊은 청년층의 흡연율의 추이를 심층 분석하는 것은 10년 뒤 금연정책 준비에 필요한 기초자료가 될 것이다. 이 연구의 목적은 젊은 청년의 흡연율의 변화추이에 영향을 주는 연령, 연도, 출생코호트 효과를 파악하고자 하였다. 지난 6년 동안 19-30세의 흡연율은 전체적으로 연도가 증가하고 최근 출생코호트로 올수록 감소하는 경향을 보였다. 그러나 최근 출생코호트의 흡연율은 앞으로 금연정책이나 사회적인 상황에 따라 여전히 증가할 여지가 있으므로 주의 깊은 관찰이 필요할 것으로 생각된다.

Citations

Citations to this article as recorded by  
  • An age‐period‐cohort approach to studying long‐term trends in obesity and overweight in England (1992–2019)
    Magdalena Opazo Breton, Laura A. Gray
    Obesity.2023; 31(3): 823.     CrossRef
  • Age, Period, and Cohort Analysis of Smoking Intensity Among Current Smokers in Malaysia, 1996–2015
    Chien Huey Teh, Sanjay Rampal, Kuang Hock Lim, Omar Azahadi, Aris Tahir
    Nicotine and Tobacco Research.2023; 25(7): 1340.     CrossRef
  • Understanding long‐term trends in smoking in England, 1972–2019: an age–period–cohort approach
    Magdalena Opazo Breton, Duncan Gillespie, Robert Pryce, Ilze Bogdanovica, Colin Angus, Monica Hernandez Alava, Alan Brennan, John Britton
    Addiction.2022; 117(5): 1392.     CrossRef
  • Status of Workers’ Health Behavior and the Association between Occupational Characteristics and Health Behavior
    Seung-Yeon Lee, Saemi Jung, Wanhyung Lee
    International Journal of Environmental Research and Public Health.2022; 19(20): 13021.     CrossRef
  • Factors Associated with Single-Use and Co-Use of Tobacco and Alcohol: A Multinomial Modeling Approach
    Jin-Won Noh, Kyoung-Beom Kim, Jooyoung Cheon, Yejin Lee, Ki-Bong Yoo
    International Journal of Environmental Research and Public Health.2019; 16(19): 3506.     CrossRef
  • The unrealized potential: cohort effects and age-period-cohort analysis
    Jongho Heo, Sun-Young Jeon, Chang-Mo Oh, Jongnam Hwang, Juhwan Oh, Youngtae Cho
    Epidemiology and Health.2017; 39: e2017056.     CrossRef
Epidemiol Health : Epidemiology and Health
© Korean Society of Epidemiology.