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Hae-Kwan Cheong 3 Articles
Relationship Between Non-alcoholic Fatty Liver Disease and Decreased Bone Mineral Density: A Retrospective Cohort Study in Korea
Jisun Sung, Seungho Ryu, Yun-Mi Song, Hae-Kwan Cheong
J Prev Med Public Health. 2020;53(5):342-352.   Published online July 17, 2020
DOI: https://doi.org/10.3961/jpmph.20.089
  • 3,597 View
  • 140 Download
  • 9 Crossref
AbstractAbstract PDF
Objectives
The aim of this retrospective cohort study was to investigate whether non-alcoholic fatty liver disease (NAFLD) was associated with incident bone mineral density (BMD) decrease.
Methods
This study included 4536 subjects with normal BMD at baseline. NAFLD was defined as the presence of fatty liver on abdominal ultrasonography without significant alcohol consumption or other causes. Decreased BMD was defined as a diagnosis of osteopenia, osteoporosis, or BMD below the expected range for the patient’s age based on dual-energy X-ray absorptiometry. Cox proportional hazards models were used to estimate the hazard ratio of incident BMD decrease in subjects with or without NAFLD. Subgroup analyses were conducted according to the relevant factors.
Results
Across 13 354 person-years of total follow-up, decreased BMD was observed in 606 subjects, corresponding to an incidence of 45.4 cases per 1000 person-years (median follow-up duration, 2.1 years). In the model adjusted for age and sex, the hazard ratio was 0.65 (95% confidence interval, 0.51 to 0.82), and statistical significance disappeared after adjustment for body mass index (BMI) and cardiometabolic factors. In the subgroup analyses, NAFLD was associated with a lower risk of incident BMD decrease in females even after adjustment for confounders. The direction of the effect of NAFLD on the risk of BMD decrease changed depending on BMI category and body fat percentage, although the impact was statistically insignificant.
Conclusions
NAFLD had a significant protective effect on BMD in females. However, the effects may vary depending on BMI category or body fat percentage.
Summary

Citations

Citations to this article as recorded by  
  • Anti-osteoporotic treatments in the era of non-alcoholic fatty liver disease: friend or foe
    Maria Eleni Chondrogianni, Ioannis Kyrou, Theodoros Androutsakos, Christina-Maria Flessa, Evangelos Menenakos, Kamaljit Kaur Chatha, Yekaterina Aranan, Athanasios G. Papavassiliou, Eva Kassi, Harpal S. Randeva
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Association between body fat and bone mineral density in Korean adults: a cohort study
    Hyunjung Yoon, Eunju Sung, Jae-Heon Kang, Cheol-Hwan Kim, Hocheol Shin, Eunsol Yoo, Minyoung Kim, Mi Yeon Lee, Sujeong Shin
    Scientific Reports.2023;[Epub]     CrossRef
  • Liver fibrosis is associated with impaired bone mineralization and microstructure in obese individuals with non-alcoholic fatty liver disease
    Ilaria Barchetta, Carla Lubrano, Flavia Agata Cimini, Sara Dule, Giulia Passarella, Arianna Dellanno, Alberto Di Biasio, Frida Leonetti, Gianfranco Silecchia, Andrea Lenzi, Maria Gisella Cavallo
    Hepatology International.2023; 17(2): 357.     CrossRef
  • Non-Alcoholic Fatty Liver Disease and Bone Tissue Metabolism: Current Findings and Future Perspectives
    Oxana M. Drapkina, Anastasia Yu. Elkina, Anna F. Sheptulina, Anton R. Kiselev
    International Journal of Molecular Sciences.2023; 24(9): 8445.     CrossRef
  • Nonalcoholic Fatty Liver Disease Is Associated With Decreased Bone Mineral Density in Adults: A Systematic Review and Meta‐Analysis
    Ying‐Hao Su, Kuo‐Liong Chien, Shu‐Hua Yang, Wei‐Tso Chia, Jen‐Hau Chen, Yen‐Ching Chen
    Journal of Bone and Mineral Research.2023; 38(8): 1092.     CrossRef
  • The National Consensus statement on the management of adult patients with non-alcoholic fatty liver disease and main comorbidities
    Marina V. Maevskaya, Yulia V. Kotovskaya, Vladimir T. Ivashkin, Olga N. Tkacheva, Ekaterina A. Troshina, Marina V. Shestakova, Valeriy V. Breder, Natalia I. Geyvandova, Vladimir L. Doshchitsin, Ekaterina N. Dudinskaya, Ekaterina V. Ershova, Khava B. Kodzo
    Terapevticheskii arkhiv.2022; 94(2): 216.     CrossRef
  • Nonalcoholic fatty liver disease and osteoporosis: A potential association with therapeutic implications
    Ilias D. Vachliotis, Athanasios D. Anastasilakis, Antonis Goulas, Dimitrios G. Goulis, Stergios A. Polyzos
    Diabetes, Obesity and Metabolism.2022; 24(9): 1702.     CrossRef
  • Hepatic fibrosis is associated with an increased rate of decline in bone mineral density in men with nonalcoholic fatty liver disease
    Ji Won Yoon, Min Joo Kim, Goh-Eun Chung, Jong In Yang, Jeong Yoon Yim, Jin Ju Kim, Sun Mie Kim, Min-Sun Kwak
    Hepatology International.2021; 15(6): 1347.     CrossRef
  • NAFLD Associated Comorbidity
    L. B. Lazebnik, S. V. Turkina
    Experimental and Clinical Gastroenterology.2021; (10): 5.     CrossRef
General Factors of the Korean Exposure Factors Handbook
Jae-Yeon Jang, So-Yeon Kim, Sun-Ja Kim, Kyung-Eun Lee, Hae-Kwan Cheong, Eun-Hye Kim, Kyung-Ho Choi, Young-Hee Kim
J Prev Med Public Health. 2014;47(1):7-17.   Published online January 29, 2014
DOI: https://doi.org/10.3961/jpmph.2014.47.1.7
  • 13,124 View
  • 140 Download
  • 26 Crossref
AbstractAbstract PDF

Risk assessment considers the situations and characteristics of the exposure environment and host. Various physiological variables of the human body reflects the characteristics of the population that can directly influence risk exposure. Therefore, identification of exposure factors based on the Korean population is required for appropriate risk assessment. It is expected that a handbook about general exposure factors will be used by professionals in many fields as well as the risk assessors of the health department. The process of developing the exposure factors handbook for the Korean population will be introduced in this article, with a specific focus on the general exposure factors including life expectancy, body weight, surface area, inhalation rates, amount of water intake, and soil ingestion targeting the Korean population. The researchers used national databases including the Life Table and the 2005 Time Use Survey from the National Statistical Office. The anthropometric study of size in Korea used the resources provided by the Korean Agency for Technology and Standards. In addition, direct measurement and questionnaire surveys of representative samples were performed to calculate the inhalation rate, drinking water intake, and soil ingestion.

Summary

Citations

Citations to this article as recorded by  
  • Estimation of microbial inhalation exposure and prediction of microbial concentrations in rail transportation facilities during the COVID-19 pandemic
    Bong Gu Lee, Yea Joon Kim, Joo Eun Shim, Hyesoo Lee, Min-Kyeong Yeo
    Aerosol Science and Technology.2024; 58(3): 309.     CrossRef
  • Occurrence, time trends, and human exposure of siloxanes and synthetic musk compounds in indoor dust from Korean homes
    Wenming Chen, Jin-Su Oh, Jae-Eun Lim, Hyo-Bang Moon
    Ecotoxicology and Environmental Safety.2023; 266: 115538.     CrossRef
  • Updated general exposure factors for risk assessment in the Korean population
    Hyojung Yoon, Jungkwan Seo, Sun-Kyoung Yoo, Pil-Je Kim, Jinhyeon Park, Youngtae Choe, Wonho Yang
    Journal of Exposure Science & Environmental Epidemiology.2023; 33(6): 1013.     CrossRef
  • Occurrence and Exposure Assessment of Bisphenol Analogues Through Different Types of Drinking Water in Korea
    Jae-Eun Lim, Chunyang Liao, Hyo-Bang Moon
    Exposure and Health.2023; 15(1): 185.     CrossRef
  • Occurrence and removal of benzotriazole and benzothiazole in drinking water treatment plants
    Wenting Wang, Sangmin Park, Byeong-gyu Choi, Jeong-Eun Oh
    Environmental Pollution.2023; 316: 120563.     CrossRef
  • Assessing Dust Emissions, Health Impacts, and Accident Risks in Prefabricated and Conventional Construction: A Comprehensive Comparative Study
    Louis Kumi, Jaewook Jeong, Jaemin Jeong
    Buildings.2023; 13(9): 2305.     CrossRef
  • Estimation of Children’s Soil and Dust Ingestion Rates and Health Risk at E-Waste Dismantling Area
    Yan Yang, Mengdi Zhang, Haojia Chen, Zenghua Qi, Chengcheng Liu, Qiang Chen, Tao Long
    International Journal of Environmental Research and Public Health.2022; 19(12): 7332.     CrossRef
  • Empirical Analysis of Dust Health Impacts on Construction Workers Considering Work Types
    Louis Kumi, Jaewook Jeong, Jaemin Jeong, Jaehyun Lee
    Buildings.2022; 12(8): 1137.     CrossRef
  • Occurrence and Removal of Benzotriazole and Benzothiazole in Drinking Water Treatment Plants
    Wenting Wang, Sangmin Park, Byeong-gyu Choi, Jeong-Eun Oh
    SSRN Electronic Journal .2022;[Epub]     CrossRef
  • The occurrence and distributions of per- and polyfluoroalkyl substances (PFAS) in groundwater after a PFAS leakage incident in 2018
    Zhi Yuan Yong, Ki Yong Kim, Jeong-Eun Oh
    Environmental Pollution.2021; 268: 115395.     CrossRef
  • Development of a Method for Simultaneous Analysis of Allergenic Flavoring Agents in Cigarettes and Quantitative Risk Assessment for Consumer Safety
    Dae Yong Jang, Hyung Soo Kim, Eun Chul Pack, Ye Ji Koo, Kyung Min Lim, Dal Woong Choi
    Toxics.2021; 9(4): 87.     CrossRef
  • Concentrations and distributions of neonicotinoids in drinking water treatment plants in South Korea
    Jiwon Kim, Wenting Wang, Soohyung Lee, Ju-Hyun Park, Jeong-Eun Oh
    Environmental Pollution.2021; 288: 117767.     CrossRef
  • Development of General Exposure Factors for Risk Assessment in Korean Children
    Hyojung Yoon, Sun-Kyoung Yoo, Jungkwan Seo, Taksoo Kim, Pyeongsoon Kim, Pil-Je Kim, Jinhyeon Park, Jung Heo, Wonho Yang
    International Journal of Environmental Research and Public Health.2020; 17(6): 1988.     CrossRef
  • Seasonal occurrence and removal of organophosphate esters in conventional and advanced drinking water treatment plants
    Gyojin Choo, Jeong-Eun Oh
    Water Research.2020; 186: 116359.     CrossRef
  • Health risk assessment of trihalomethanes in water treatment plants in Jiangsu Province, China
    Yumin Wang, Guangcan Zhu, Bernard Engel
    Ecotoxicology and Environmental Safety.2019; 170: 346.     CrossRef
  • Stabilization of fluorine in soil using calcium hydroxide and its potential human health risk
    Seulki Jeong, Doyoung Kim, Hye-On Yoon
    Environmental Engineering Research.2019; 24(4): 654.     CrossRef
  • Tối ưu quá trình nuôi cấy nấm mốc Aspergillus niger thu nhận enzyme lipase và ứng dụng trong tiền xử lý nước thải sữa tổng hợp
    Đào Thị Mỹ Linh, Nguyễn Thị Quỳnh Mai, Trần Thị Mỹ Thảo, Lý Thị Diễm Trang, Lê Thị Mỹ Trinh, Võ Thị Thúy Vân
    Can Tho University Journal of Science.2019; 55(Công ng: 277.     CrossRef
  • Mixture risk assessment of selected mainstream cigarette smoke constituents generated from low-yield cigarettes in South Korean smokers
    Eun Chul Pack, Dae Yong Jang, Hyung Soo Kim, Seung Ha Lee, Hae Young Kim, Seok Ho Song, Hoon Sik Cho, Kyeng Hee Kwon, Kun Ho Park, Kyung Min Lim, Dal Woong Choi
    Regulatory Toxicology and Pharmacology.2018; 94: 152.     CrossRef
  • Measurement of Particulate Matter (PM2.5) and Health Risk Assessment of Cooking-Generated Particles in the Kitchen and Living Rooms of Apartment Houses
    Hyungkeun Kim, Kyungmo Kang, Taeyeon Kim
    Sustainability.2018; 10(3): 843.     CrossRef
  • Evaluation of the current contamination status of PFASs and OPFRs in South Korean tap water associated with its origin
    Heejeong Park, Gyojin Choo, Hyerin Kim, Jeong-Eun Oh
    Science of The Total Environment.2018; 634: 1505.     CrossRef
  • Health risk assessment by CRPS and the numerical model for toluene in residential buildings
    Haneul Choi, Hyungkeun Kim, Taeyeon Kim
    KIEAE Journal.2017; 17(5): 33.     CrossRef
  • Health risk assessment of occupants through exposure scenarios of daily indoor air pollutants
    Himchan Kim, Hooseung Na, Hyungkeun Kim, Taeyeon Kim
    KIEAE Journal.2017; 17(6): 279.     CrossRef
  • Species-specific accumulation of methyl and total mercury in sharks from offshore and coastal waters of Korea
    Sang-Jo Kim, Hyun-Kyung Lee, Abimbola C. Badejo, Won-Chan Lee, Hyo-Bang Moon
    Marine Pollution Bulletin.2016; 102(1): 210.     CrossRef
  • Occurrence and exposure assessment of organophosphate flame retardants (OPFRs) through the consumption of drinking water in Korea
    Sunggyu Lee, Woochang Jeong, Kurunthachalam Kannan, Hyo-Bang Moon
    Water Research.2016; 103: 182.     CrossRef
  • Exploring Global Exposure Factors Resources for Use in Consumer Exposure Assessments
    Rosemary Zaleski, Peter Egeghy, Pertti Hakkinen
    International Journal of Environmental Research and Public Health.2016; 13(7): 744.     CrossRef
  • Indoor inhalation intake fractions of fine particulate matter: review of influencing factors
    N. Hodas, M. Loh, H.‐M. Shin, D. Li, D. Bennett, T. E. McKone, O. Jolliet, C. J. Weschler, M. Jantunen, P. Lioy, P. Fantke
    Indoor Air.2016; 26(6): 836.     CrossRef
Prevalence of Musculoskeletal Symptoms Related With Activities of Daily Living and Contributing Factors in Korean Adults
Kyusik Choi, Jae-Hyun Park, Hae-Kwan Cheong
J Prev Med Public Health. 2013;46(1):39-49.   Published online January 31, 2013
DOI: https://doi.org/10.3961/jpmph.2013.46.1.39
  • 10,588 View
  • 100 Download
  • 17 Crossref
AbstractAbstract PDF
Objectives

This study aims to investigate the prevalence of musculoskeletal symptoms and factors related to daily activities in a representative Korean population.

Methods

This study was based on the questions about musculoskeletal symptoms in the Korean General Social Survey 2010. The questionnaire about musculoskeletal symptoms was adopted from Korean Occupational Safety and Health Agency guide, and it includes general characteristics, characteristics of pain, work type, work intensity and a 12-item Short Form Health Survey (SF-12). We utilized the criteria of the National Institute for Occupational Safety and Health to define the prevalence of musculoskeletal symptoms. Demographic, behavioral and socioeconomic factors were analyzed using logistic regression.

Results

The prevalence of musculoskeletal symptoms was 38.3%. The prevalence was higher in females, the elderly, those without health insurance, and those with a low income, low education, and occupations with a heavy workload. The prevalence by body part was highest in the back, shoulder, and knee, in that order. The physical component summary and mental component summary of the SF-12 decreased with increasing musculoskeletal symptoms.

Conclusions

Musculoskeletal symptoms are very common in the general population, and related to various socio-demographic factors. These results suggest that active prevention and management of musculoskeletal symptoms is needed at a national level.

Summary

Citations

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JPMPH : Journal of Preventive Medicine and Public Health