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Ji-Yeob Choi 5 Articles
Sleep Duration, Comorbidities, and Mortality in Korean Health Examinees: A Prospective Cohort Study
Sukhong Min, Woo-Kyoung Shin, Katherine De la Torre, Dan Huang, Hyung-Suk Yoon, Aesun Shin, Ji-Yeob Choi, Daehee Kang
J Prev Med Public Health. 2023;56(5):458-466.   Published online September 26, 2023
DOI: https://doi.org/10.3961/jpmph.23.311
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AbstractAbstract AbstractSummary PDFSupplementary Material
Objectives
The association between long sleep duration and mortality is frequently attributed to the confounding influence of comorbidities. Nevertheless, past efforts to account for comorbidities have yielded inconsistent outcomes. The objective of this study was to evaluate this relationship using a large prospective cohort in Korea.
Methods
The study included 114 205 participants from the Health Examinees Study, who were followed for a median of 9.1 years. A composite comorbidity score was developed to summarize the effects of 21 diseases. Using Cox proportional hazards regression, hazard ratios (HRs) and 95% confidence intervals (CIs) for all-cause, cancer, and cardiovascular mortality associated with sleep duration were estimated. These estimates were adjusted for socio-demographic factors, lifestyle factors, body mass index, and comorbidity score. Additionally, a stratified analysis by subgroups with and without comorbidities was conducted.
Results
Throughout the follow-up period, 2675 deaths were recorded. After all adjustments, an association was observed between a sleep duration of 8 hours or more and all-cause mortality (HR, 1.10; 95% CI, 1.01 to 1.20). However, no such association was detected in the stratified analysis for the subgroups based on comorbidity status.
Conclusions
Long sleep duration was found to be associated with all-cause mortality among Koreans, even after adjusting for comorbidities. Additional studies are required to explore the mechanism underlying the association between sleep duration and major causes of mortality.
Summary
Korean summary
- 한국의 대규모 코호트 자료를 이용, 긴 수면 시간과 사망률 간의 연관성이 동반 상병으로 인한 교란 효과로 인한 것인지를 검토하였다. - 수면 시간과 총 사망률, 암 사망률, 심혈관질환 사망률 간의 연관성을 확인하였고, 이 중 총 사망률과 긴 수면 시간이 동반 상병 지수로 보정 한 뒤에도 유의한 연관성을 보였다.
Key Message
Using a large prospective cohort in Korea, the association between long sleep duration and mortality was evaluated, after adjusting for the confounding influence of comorbidities. When 114,205 participants from the Health Examinees Study were followed for a median of 9.1 years, sleep duration of 8 hours or more were found to be associated with all-cause mortality (HR, 1.10; 95% CI, 1.01 to 1.20). Additional studies are required to explore the mechanism underlying the association between sleep duration and major causes of mortality.
Network Analysis in Systems Epidemiology
JooYong Park, Jaesung Choi, Ji-Yeob Choi
J Prev Med Public Health. 2021;54(4):259-564.   Published online July 7, 2021
DOI: https://doi.org/10.3961/jpmph.21.190
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  • 140 Download
  • 4 Crossref
AbstractAbstract AbstractSummary PDF
Traditional epidemiological studies have identified a number of risk factors for various diseases using regression-based methods that examine the association between an exposure and an outcome (i.e., one-to-one correspondences). One of the major limitations of this approach is the “black-box” aspect of the analysis, in the sense that this approach cannot fully explain complex relationships such as biological pathways. With high-throughput data in current epidemiology, comprehensive analyses are needed. The network approach can help to integrate multi-omics data, visualize their interactions or relationships, and make inferences in the context of biological mechanisms. This review aims to introduce network analysis for systems epidemiology, its procedures, and how to interpret its findings.
Summary
Korean summary
본 리뷰는 시스템역학연구에 활용할 수 있는 네트워크 분석의 간략한 개념과 분석 절차 그리고 결과 해석에 대하여 소개하고 있다. 기존 역학연구의 주요 한계점은 생물학적 기전과 같은 복잡한 관계를 충분히 설명하지 못한다는 것이다. 최근 역학 연구에서 대규모의 오믹스 데이터가 활용 가능하게 됨에 따라 통합적 분석의 필요성이 제기되고 있고, 네트워크 분석 기법이 이런 다중 오믹스 데이터들을 포괄적으로 분석하는데 활용 될 수 있을 것이다.

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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
  • 8,540 View
  • 263 Download
  • 9 Crossref
AbstractAbstract PDFSupplementary 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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The Effect of Breastfeeding Duration and Parity on the Risk of Epithelial Ovarian Cancer: A Systematic Review and Meta-analysis
Ho Kyung Sung, Seung Hyun Ma, Ji-Yeob Choi, Yunji Hwang, Choonghyun Ahn, Byoung-Gie Kim, Yong-Man Kim, Jae Weon Kim, Sokbom Kang, Jaehoon Kim, Tae Jin Kim, Keun-Young Yoo, Daehee Kang, Suekyung Park
J Prev Med Public Health. 2016;49(6):349-366.   Published online September 8, 2016
DOI: https://doi.org/10.3961/jpmph.16.066
  • 14,609 View
  • 295 Download
  • 49 Crossref
AbstractAbstract PDFSupplementary Material
Objectives
We conducted a systematic review and meta-analysis to summarize current evidence regarding the association of parity and duration of breastfeeding with the risk of epithelial ovarian cancer (EOC).
Methods
A systematic search of relevant studies published by December 31, 2015 was performed in PubMed and EMBASE. A random-effect model was used to obtain the summary relative risks (RRs) and 95% confidence intervals (CIs).
Results
Thirty-two studies had parity categories of 1, 2, and ≥3. The summary RRs for EOC were 0.72 (95% CI, 0.65 to 0.79), 0.57 (95% CI, 0.49 to 0.65), and 0.46 (95% CI, 0.41 to 0.52), respectively. Small to moderate heterogeneity was observed for one birth (p<0.01; Q=59.46; I2=47.9%). Fifteen studies had breastfeeding categories of <6 months, 6-12 months, and >13 months. The summary RRs were 0.79 (95% CI, 0.72 to 0.87), 0.72 (95% CI, 0.64 to 0.81), and 0.67 (95% CI, 0.56 to 0.79), respectively. Only small heterogeneity was observed for <6 months of breastfeeding (p=0.17; Q=18.79, I2=25.5%). Compared to nulliparous women with no history of breastfeeding, the joint effects of two births and <6 months of breastfeeding resulted in a 0.5-fold reduced risk for EOC.
Conclusions
The first birth and breastfeeding for <6 months were associated with significant reductions in EOC risk.
Summary

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    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
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Association of Selected Medical Conditions With Breast Cancer Risk in Korea
Sun Jae Jung, Minkyo Song, Ji-Yeob Choi, Nan Song, Sue Kyung Park, Keun-Young Yoo, Daehee Kang
J Prev Med Public Health. 2013;46(6):346-352.   Published online November 28, 2013
DOI: https://doi.org/10.3961/jpmph.2013.46.6.346
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AbstractAbstract PDF
Objectives

To estimate the effect of medical conditions in the population of Korea on breast cancer risk in a case-control study.

Methods

The cases were 3242 women with incident, histologically confirmed breast cancer in two major hospitals interviewed between 2001 and 2007. The controls were 1818 women each admitted to either of those two hospitals for a variety of non-neoplastic conditions. Information on each disease was obtained from a standardized questionnaire by trained personnel. Odds ratios (ORs) for each disease were derived from multiple logistic regression adjusted for age, age of menarche, pregnancy, age of first pregnancy, and family history of breast cancer.

Results

Among all of the incident breast cancer patients, pre-existing diabetes (OR, 1.33; 95% confidence interval [CI], 0.99 to 1.78), hypertension (OR, 1.46; 95% CI, 1.18 to 1.83), thyroid diseases (OR, 1.26; 95% CI, 1.00 to 1.58), and ovarian diseases (OR, 1.70; 95% CI, 1.23 to 2.35) were associated with an increased risk of breast cancer when other factors were adjusted for. In a stratified analysis by menopausal status, pre-existing hypertension (pre-menopause OR, 0.80; 95% CI, 0.48 to 1.34 vs. post-menopause OR, 1.87; 95% CI, 1.44 to 2.43; p-heterogeneity <0.01) and ovarian disease (pre-menopause OR, 4.20; 95% CI, 1.91 to 9.24 vs. post-menopause OR, 1.39; 95% CI, 1.02 to 1.91; p-heterogeneity 0.01) showed significantly different risks of breast cancer.

Conclusions

Our results suggest the possibility that medical conditions such as hypertension affect breast cancer development, and that this can differ by menopausal status. Our study also indicates a possible correlation between ovarian diseases and breast cancer risk.

Summary

Citations

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