Journal of Preventive Medicine and Public Health

Boyoung Park

6 Articles

Cohort Study Protocol: A Cohort of Korean Atomic Bomb Survivors and Their Offspring: Seong-geun Moon, Ansun Jeong, Yunji Han, Jin-Wu Nam, Mi Kyung Kim, Inah Kim, Yu-Mi Kim, Boyoung Park; J Prev Med Public Health. 2023;56(1):1-11. Published online January 31, 2023; DOI: https://doi.org/10.3961/jpmph.22.469

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In 1945, atomic bombs were dropped on Hiroshima and Nagasaki. Approximately 70 000 Koreans are estimated to have been exposed to radiation from atomic bombs at that time. After Korea’s Liberation Day, approximately 23 000 of these people returned to Korea. To investigate the long-term health and hereditary effects of atomic bomb exposure on the offspring, cohort studies have been conducted on atomic bomb survivors in Japan. This study is an ongoing cohort study to determine the health status of Korean atomic bomb survivors and investigate whether any health effects were inherited by their offspring. Atomic bomb survivors are defined by the Special Act On the Support for Korean Atomic Bomb Victims, and their offspring are identified by participating atomic bomb survivors. As of 2024, we plan to recruit 1500 atomic bomb survivors and their offspring, including 200 trios with more than 300 people. Questionnaires regarding socio-demographic factors, health behaviors, past medical history, laboratory tests, and pedigree information comprise the data collected to minimize survival bias. For the 200 trios, whole-genome analysis is planned to identify de novo mutations in atomic bomb survivors and to compare the prevalence of de novo mutations with trios in the general population. Active follow-up based on telephone surveys and passive follow-up with linkage to the Korean Red Cross, National Health Insurance Service, death registry, and Korea Central Cancer Registry data are ongoing. By combining pedigree information with the findings of trio-based whole-genome analysis, the results will elucidate the hereditary health effects of atomic bomb exposure.

Summary

Korean summary
해당 연구는 한국인 원폭피해 생존자 및 그 후손에서 피폭이 건강에 미치는 영향과 그것의 유전적 영향 유무를 밝히고자 계획된 연구이다. 이 연구는 연구대상자들에 대한 건강 설문 조사, 신체계측, 가계도 조사, 유전체 조사 뿐 아니라 2차 자료 연계를 통해 폭넓고 정확한 건강 정보를 수집하고 있다. 이 연구를 통해 연구대상자들의 건강 상태 파악 및 개선에 도움이 되고자 한다.

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Intergenerational effects of ionizing radiation: review of recent studies from human data (2018–2021)
A. Amrenova, C. Baudin, E. Ostroumova, J. Stephens, R. Anderson, D. Laurier
International Journal of Radiation Biology.2024; 100(9): 1253. CrossRef

The Association Between Metabolic Syndrome and Colorectal Cancer Risk by Obesity Status in Korean Women: A Nationwide Cohort Study: Seong-geun Moon, Boyoung Park; J Prev Med Public Health. 2022;55(5):475-484. Published online September 21, 2022; DOI: https://doi.org/10.3961/jpmph.22.286

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Objectives
This study aimed to determine the association between metabolic syndrome (MetS) and the incidence of colorectal cancer (CRC) in Korean women with obesity.
Methods
Cancer-free women (n=6 142 486) aged 40-79 years, who underwent National Health Insurance Service health examinations in 2009 and 2010 were included. The incidence of CRC was followed until 2018. The hazard ratio (HR) of MetS for the incidence of colon and rectal cancer was analyzed according to body mass index (BMI) categories, adjusting for confounders such as women’s reproductive factors. In addition, the heterogeneity of associations across BMI categories was assessed.
Results
Women with MetS were at increased risk of colon and rectal cancer compared to women without MetS (HR, 1.20; 95% confidence interval [CI], 1.16 to 1.23 and HR,1.15; 95% CI, 1.11 to 1.20), respectively. The HR of MetS for colon cancer across BMI categories was 1.12 (95% CI, 1.06 to 1.19), 1.14 (95% CI, 1.08 to 1.20), and 1.16 (95% CI, 1.12 to 1.21) in women with BMIs <23.0 kg/m², 23.0-24.9 kg/m², and ≥25.0 kg/m², respectively. The HR of MetS for rectal cancer across corresponding BMI categories was 1.16 (95% CI, 1.06 to 1.26), 1.14 (95% CI, 1.05 to 1.23), and 1.13 (95% CI, 1.06 to 1.20). The heterogeneity of associations across BMI categories was not significant in either colon or rectal cancer (p=0.587 for colon cancer and p=0.927 for rectal cancer).
Conclusions
Women with MetS were at increased risk of colon and rectal cancer. Clinical and public health strategies should be considered for primary CRC prevention with an emphasis on improving women’s metabolic health across all BMI groups.

Summary

Korean summary
한국 여성에서 대사증후군은 대장암 발생과 직장암 발생에 유의한 위험요인으로 보인다. 이는 체질량지수를 층화하고 여성력과 관련된 요인들을 보정하더라도 유의했다. 한국 여성의 대장암 및 직장암 예방을 위해 비만도에 관계 없이 대사증후군 요소를 관리하는 것이 필요하다.

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Increased risk of cancer and cancer-related mortality in middle-aged Korean women with prediabetes and diabetes: a population-based study
Thi Xuan Mai Tran, Soyeoun Kim, Huiyeon Song, Boyoung Park
Epidemiology and Health.2023; 45: e2023080. CrossRef

Health Indicators Related to Disease, Death, and Reproduction: Jeoungbin Choi, Moran Ki, Ho Jang Kwon, Boyoung Park, Sanghyuk Bae, Chang-Mo Oh, Byung Chul Chun, Gyung-Jae Oh, Young Hoon Lee, Tae-Yong Lee, Hae Kwan Cheong, Bo Youl Choi, Jung Han Park, Sue K. Park; J Prev Med Public Health. 2019;52(1):14-20. Published online January 23, 2019; DOI: https://doi.org/10.3961/jpmph.18.250

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One of the primary goals of epidemiology is to quantify various aspects of a population’s health, illness, and death status and the determinants (or risk factors) thereof by calculating health indicators that measure the magnitudes of various conditions. There has been some confusion regarding health indicators, with discrepancies in usage among organizations such as the World Health Organization the, Centers for Disease Control and Prevention (CDC), and the CDC of other countries, and the usage of the relevant terminology may vary across papers. Therefore, in this review, we would like to propose appropriate terminological definitions for health indicators based on the most commonly used meanings and/or the terms used by official agencies, in order to bring clarity to this area of confusion. We have used appropriate examples to make each health indicator easy for the reader to understand. We have included practical exercises for some health indicators to help readers understand the underlying concepts.

Summary

Korean summary
본 논문에서는 질병과 사망, 출생 관련 지표들의 개념과 종류를 설명하고, 특히 연구자들이 흔히 혼동하여 사용하는 지표들에 대한 적절한 정의를 제시하였다. 또한 지표들의 예시를 부록으로 수록하여 독자들이 지표의 개념을 보다 쉽게 습득하도록 돕고자 하였다.

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Risk Reduction of Breast Cancer by Childbirth, Breastfeeding, and Their Interaction in Korean Women: Heterogeneous Effects Across Menopausal Status, Hormone Receptor Status, and Pathological Subtypes: Seok Hun Jeong, Yoon Suk An, Ji-Yeob Choi, Boyoung Park, Daehee Kang, Min Hyuk Lee, Wonshik Han, Dong Young Noh, Keun-Young Yoo, Sue K. Park; J Prev Med Public Health. 2017;50(6):401-410. Published online November 10, 2017; DOI: https://doi.org/10.3961/jpmph.17.152

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Abstract PDF Supplementary Material

Objectives
The purpose of this study was to examine the associations of childbirth, breastfeeding, and their interaction with breast cancer (BC) risk reduction, and to evaluate the heterogeneity in the BC risk reduction effects of these factors by menopause, hormone receptor (HR) status, and pathological subtype.
Methods
BC patients aged 40+ from the Korean Breast Cancer Registry in 2004-2012 and controls from the Health Examinee cohort participants were included in this study after 1:1 matching (12 889 pairs) by age and enrollment year. BC risk according to childbirth, breast-feeding, and their interaction was calculated in logistic regression models using odds ratios (ORs) and 95% confidence intervals (CIs).
Results
BC risk decreased with childbirth (3+ childbirths relative to 1 childbirth: OR, 0.66; 95% CI, 0.56 to 0.78 and OR, 0.80; 95% CI, 0.68 to 0.95 in postmenopausal and premenopausal women, respectively); and the degree of risk reduction by the number of children was heterogeneous according to menopausal status (p-heterogeneity=0.04), HR status (p-heterogeneity<0.001), and pathological subtype (p-heterogeneity<0.001); whereas breastfeeding for 1-12 months showed a heterogeneous association with BC risk according to menopausal status, with risk reduction only in premenopausal women (p-heterogeneity<0.05). The combination of 2 more childbirths and breastfeeding for ≥13 months had a much stronger BC risk reduction of 49% (OR, 0.51; 95% CI, 0.45 to 0.58).
Conclusions
This study suggests that the combination of longer breastfeeding and more childbirths reduces BC risk more strongly, and that women who experience both 2 or more childbirths and breastfeed for ≥13 months can reduce their BC risk by about 50%.

Summary

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Alcohol Consumption and Mortality in the Korean Multi-center Cancer Cohort Study: En-Joo Jung, Aesun Shin, Sue K. Park, Seung-Hyun Ma, In-Seong Cho, Boyoung Park, Eun-Ha Lee, Soung-Hoon Chang, Hai-Rim Shin, Daehee Kang, Keun-Young Yoo; J Prev Med Public Health. 2012;45(5):301-308. Published online September 28, 2012; DOI: https://doi.org/10.3961/jpmph.2012.45.5.301

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Abstract PDF

Objectives

To examine the association between alcohol consumption habit, types of beverages, alcohol consumption quantity, and overall and cancer-specific mortality among Korean adults.

Methods

The alcohol consumption information of a total of 16 320 participants who were 20 years or older from the Korean Multi-center Cancer Cohort were analyzed to examine the association between alcohol consumption habit and mortality (median follow-up of 9.3 years). The Cox proportional hazard model was used to estimate the hazard ratio (HR) of alcohol consumption to mortality adjusting for age, sex, geographic areas, education, smoking status, and body mass index.

Results

Alcohol drinkers showed an increased risk for total mortality compared with never drinkers (HR, 1.72; 95% confidence interval [CI], 1.38 to 2.14 for past drinkers; HR, 1.21; 95% CI, 1.06 to 1.39 for current drinkers), while past drinkers only were associated with higher risk for cancer deaths (HR, 1.84; 95% CI, 1.34 to 2.53). The quantity of alcohol consumed per week showed a J-shaped association with risk of mortality. Relative to light drinkers (0.01 to 90 g/wk), never drinkers and heavy drinkers (>504 g/wk) had an increased risk for all-cause and cancer deaths: (HR, 1.18; 95% CI, 0.96 to 1.45) and (HR, 1.39; 95% CI, 1.05 to 1.83) for all-cause mortality; and (HR, 1.55; 95% CI, 1.15 to 2.11) and (HR, 2.07; 95% CI, 1.39 to 3.09) for all cancer mortality, respectively. Heavy drinkers (>504 g/wk) showed an elevated risk for death from stomach and liver cancers.

Conclusions

The present study supports the existence of a J-shaped association between alcohol consumption quantity and the risk of all-cause and cancer deaths. Heavy drinkers had an increased risk of death from cancer overall and liver and stomach cancer.

Summary

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Reliability and Data Integration of Duplicated Test Results Using Two Bioelectrical Impedence Analysis Machines in the Korean Genome and Epidemiology Study.: Boyoung Park, Jae Jeong Yang, Ji Hyun Yang, Jimin Kim, Lisa Y Cho, Daehee Kang, Chol Shin, Young Seoub Hong, Bo Youl Choi, Sung Soo Kim, Man Suck Park, Sue K Park; J Prev Med Public Health. 2010;43(6):479-485.; DOI: https://doi.org/10.3961/jpmph.2010.43.6.479

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Abstract PDF

OBJECTIVES
The Korean Genome and Epidemiology Study (KoGES), a multicenter-based multi-cohort study, has collected information on body composition using two different bioelectrical impedence analysis (BIA) machines. The aim of the study was to evaluate the possibility of whether the test values measured from different BIA machines can be integrated through statistical adjustment algorithm under excellent inter-rater reliability. METHODS: We selected two centers to measure inter-rater reliability of the two BIA machines. We set up the two machines side by side and measured subjects' body compositions between October 2007 and December 2007. Duplicated test values of 848 subjects were collected. Pearson and intra-class correlation coefficients for inter-rater reliability were estimated using results from the two machines. To detect the feasibility for data integration, we constructed statistical compensation models using linear regression models with residual analysis and R-square values. RESULTS: All correlation coefficients indicated excellent reliability except mineral mass. However, models using only duplicated body composition values for data integration were not feasible due to relatively low R2 values of 0.8 for mineral mass and target weight. To integrate body composition data, models adjusted for four empirical variables that were age, sex, weight and height were most ideal (all R2>0.9). CONCLUSIONS: The test values measured with the two BIA machines in the KoGES have excellent reliability for the nine body composition values. Based on reliability, values can be integrated through algorithmic statistical adjustment using regression equations that includes age, sex, weight, and height.

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