Journal of Preventive Medicine and Public Health

Original Articles

Pattern of Hepatitis A Incidence According to Area Characteristics Using National Health Insurance Data: Joo Youn Seo, Jae Hee Seo, Myoung Hee Kim, Moran Ki, Hee Suk Park, Bo Youl Choi; J Prev Med Public Health. 2012;45(3):164-173. Published online May 31, 2012; DOI: https://doi.org/10.3961/jpmph.2012.45.3.164

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Objectives

Over the past several years, the incidence of hepatitis A infection has been increasing rapidly in the young-adult population in Korea. We examined the effects of area-level socioeconomic status and environmental hygiene on the incidence of hepatitis A.

Methods

This study is based on the registered national population of Korea and the national health insurance data from 2004 to 2008. A total of 73 459 individuals were confirmed to have had hepatitis A. The standardized incidences of hepatitis A in 232 districts adjusted for sex and age of people were calculated for each year, and the rate ratios of the incidence rates were estimated according to area-level socioeconomic status and environmental hygiene using multiple Poisson regression models.

Results

The incidence rates of hepatitis A infection were 15.6 (per 100 000) in 2004, 19.0 (per 100 000) in 2005, 27.2 (per 100 000) in 2006, 25.1 (per 100 000) in 2007, and 61.7 (per 100 000) in 2008. The analysis of the area-level effects showed that residential areas of the less deprived than other regions, areas with higher levels of education, and heavily populated areas were significantly associated with increased risk.

Conclusions

There is a very strong possibility that both area-level socioeconomic status and environmental hygiene play a role in increasing the risk of hepatitis A infection in Korea. Therefore, to reduce hepatitis A infection, we need a nationwide strategy that considers these area-level characteristics.

Summary

Citations

Citations to this article as recorded by

Trends of Hepatitis A Virus Infection in Poland: Assessing the Potential Impact of the COVID-19 Pandemic and War in Ukraine
Piotr Rzymski, Dorota Zarębska-Michaluk, Agnieszka Genowska, Piotr Tyszko, Birute Strukcinskiene, Robert Flisiak
Viruses.2024; 16(3): 469. CrossRef
Investigating the spatio-temporal variation of hepatitis A in Korea using a Bayesian model
Jaehong Jeong, Mijeong Kim, Jungsoon Choi
Frontiers in Public Health.2023;[Epub] CrossRef
Impact of urbanization on morbidity of hepatitis A: a national panel study in China during 2005–2018
Bo-Wen Ming, Zhou Yang, Ze-Lin Yan, Chen Shi, Xiao-Han Xu, Li Li, Chun-Quan Ou
Infectious Diseases of Poverty.2023;[Epub] CrossRef
The chronological changes in the seroprevalence of anti-hepatitis A virus IgG from 2005 to 2019: Experience at four centers in the capital area of South Korea
Dae Hyun Lim, Won Sohn, Jae Yoon Jeong, Hyunwoo Oh, Jae Gon Lee, Eileen L. Yoon, Tae Yeob Kim, Seungwoo Nam, Joo Hyun Sohn
Medicine.2022; 101(48): e31639. CrossRef
KM-based Treatment of Viral Hepatitis A accompanied with Pancreatitis: A case report
Chang-Gue Son
Journal of Korean Medicine.2020; 41(4): 106. CrossRef
Seropositive rate of the anti-hepatitis A immunoglobulin G antibody in maintenance hemodialysis subjects from two hospitals in Korea
Hyunsuk Kim, Jiwon Ryu, Young-Ki Lee, Myung Jin Choi, Ajin Cho, Ja-Ryong Koo, Sae Yun Baik, Eun Hee Lee, Jong-Woo Yoon, Jung-Woo Noh
The Korean Journal of Internal Medicine.2019; 34(6): 1297. CrossRef
Age-period-cohort analysis of hepatitis A incidence rates in Korea from 2002 to 2012
Joo Yeon Seo, Sungyong Choi, BoYoul Choi, Moran Ki
Epidemiology and Health.2016; 38: e2016040. CrossRef
Low Compliance with National Guidelines for Preventing Transmission of Group 1 Nationally Notifiable Infectious Diseases in Korea
Eu Suk Kim, Kyoung-Ho Song, Baek-Nam Kim, Yee Gyung Kwak, Chang-Seop Lee, Sang Won Park, Chisook Moon, Kyung Hwa Park, Hee-Chang Jang, Joon-Sup Yeom, Won Sup Oh, Chung-Jong Kim, Hong Bin Kim, Hyun-Sul Lim
Yonsei Medical Journal.2014; 55(2): 435. CrossRef
Changes in the seroprevalence of IgG anti-hepatitis A virus between 2001 and 2013: experience at a single center in Korea
Sung Jun Chung, Tae Yeob Kim, Sun Min Kim, Min Roh, Mi Yeon Yu, Jung Hoon Lee, ChangKyo Oh, Eun Young Lee, Seung Lee, Yong Cheol Jeon, Kyo-Sang Yoo, Joo Hyun Sohn
Clinical and Molecular Hepatology.2014; 20(2): 162. CrossRef
Risk Factors for Acute Hepatitis A Infection in Korea in 2007 and 2009: A Case-Control Study
Joo Youn Seo, Bo Youl Choi, Moran Ki, Hye Lim Jang, Hee Suk Park, Hyun Jin Son, Si Hyun Bae, Jin Han Kang, Dae Won Jun, Jin-Woo Lee, Young Jin Hong, Young Seok Kim, Chang-Hwi Kim, U Im Chang, Jong-Hyun Kim, Hyeon Woong Yang, Hong Soo Kim, Kyeong Bae Park,
Journal of Korean Medical Science.2013; 28(6): 908. CrossRef
Letter to the Editor: The Increasing Hepatitis A Incidence in Korea: Is It Possible Within a Limited Time?
Pegah Karimi Elizee, Seyed Moayed Alavian, Seyyed Mohammad Miri
Journal of Preventive Medicine and Public Health.2012; 45(5): 329. CrossRef
Author Response: The Increasing Hepatitis A Incidence in Korea: Is It Possible Within a Limited Time?
Joo Youn Seo, Moran Ki, Bo Youl Choi
Journal of Preventive Medicine and Public Health.2012; 45(5): 331. CrossRef

Analysis for the Impact of Adulthood and Childhood Socioeconomic Positions and Intergenerational Social Mobility on Adulthood Health.: Jae Hee Seo, Ho Kim, Young Jeon Shin; J Prev Med Public Health. 2010;43(2):138-150.; DOI: https://doi.org/10.3961/jpmph.2010.43.2.138

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70 Download
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Abstract PDF

OBJECTIVES
There are at least three conceptual models for the effects of the childhood social environment on adult health: the critical period model, the social mobility model, and the cumulative risk model. However, few studies have investigated all three different models within the same setting. This study aims to examine the impact of childhood and adulthood socioeconomic positions and intergenerational social mobility over the life course on the health in adulthood based both on the critical period model and the social mobility model. METHODS: This study was conducted on 9583 adults aged between 25 and 64 years old and they were the respondents to the Korea Welfare Panel Study (2006). A multivariate logistic regression analysis was carried out, using the critical period model and the social mobility model out of the life course approaches, to look into the impact of childhood and adulthood socioeconomic positions and intergenerational social mobility on the health status in adulthood. RESULTS: Household income and occupation out of the adulthood socioeconomic position indicators had an independent influence on the adulthood health status. The childhood socioeconomic position indicators, except for the place of childhood residence, affected the adulthood health status even after adjustment for the adulthood socioeconomic position. The effect of intergenerational social mobility was also statistically significant even after adjusting for the adulthood socioeconomic position, but it became insignificant when the childhood socioeconomic position was additionally adjusted for. CONCLUSIONS: Adulthood health is indeed affected by both the childhood and adulthood socioeconomic positions as well as intergenerational social mobility. This result shows that a life course approach needs to be adopted when dealing with health issues.

Summary

Citations

Citations to this article as recorded by

Impact of Childhood Socioeconomic Position on Self‐Rated Health Trajectories of South Korean Adults
Joan P. Yoo, Min Sang Yoo
Asian Social Work and Policy Review.2016; 10(1): 142. CrossRef
Interaction Effects of Social Determinants Affecting School-Aged Children’s Health
Mi Young Kim, Mee Sok Park
Family and Environment Research.2016; 54(5): 515. CrossRef
Grandparental education, parental education and child height: evidence from Hong Kong’s “Children of 1997” birth cohort
Man Ki Kwok, Gabriel M. Leung, Tai Hing Lam, Shirley S.L. Leung, C. Mary Schooling
Annals of Epidemiology.2013; 23(8): 475. CrossRef
Health Inequalities Policy in Korea: Current Status and Future Challenges
Young-Ho Khang, Sang-il Lee
Journal of Korean Medical Science.2012; 27(Suppl): S33. CrossRef
Social Determinants of Smoking Behavior: The Healthy Twin Study, Korea
Youn Sik Kim, Hansoo Ko, Changgyo Yoon, Dong-Hun Lee, Joohon Sung
Journal of Preventive Medicine and Public Health.2012; 45(1): 29. CrossRef

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