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Soo-Nam Jo 4 Articles
Food Ingestion Factors of the Korean Exposure Factors Handbook
Jae-Yeon Jang, Soo-Nam Jo, Sun-Ja Kim, Hyung-Nam Myung, Cho-Il Kim
J Prev Med Public Health. 2014;47(1):18-26.   Published online January 29, 2014
DOI: https://doi.org/10.3961/jpmph.2014.47.1.18
  • 9,838 View
  • 76 Download
  • 5 Crossref
AbstractAbstract PDF

The purpose of this study was to establish food ingestion factors needed to assess exposure to contaminants through food ingestion. The study reclassified the raw data of the Korean National Health and Nutrition Examination Survey in 2001 into 12 subcategories including grain products, meat products, fish and shellfish, and vegetables for international comparability of exposure evaluation. The criteria for food intake calculation were unified according to the characteristics of food groups, and recommended values for food ingestion factors were calculated through moisture correction and recategorization of cooked, processed, and mixed foods for each group. The average intake rate for grain and grain products was 6.25 g/kg-d per capita and the men's intake rate was approximately 8% higher than that of the women. The average intake rate of meat and meat products was 1.62 g/kg-d per capita and the men's intake rate was 30% higher than that of the women, on average. The average intake rate of fish and shellfish was 1.53 g/kg-d per capita, and the age groups of 1 to 2 and 3 to 6 recorded higher capita intake rates than other age groups, 2.62 g/kg-d and 2.25 g/kg-d, respectively. The average intake rate of vegetables was 6.47 g/kg-d per capita, with the age group of 1 to 2 recording the highest per capita intake rate of 9.79 g/kg-d and that of 13 to 19 recording the lowest mean. The study also offers recommended values for food ingestion factors of other food groups by gender, age, and region. The food ingestion exposure factors will need future updates in consideration of ongoing changes in food consumption behavior.

Summary

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  • 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
  • Heavy metal accumulation in and food safety of shark meat from Jeju island, Republic of Korea
    Sang Wha Kim, Se Jin Han, Yonggab Kim, Jin Woo Jun, Sib Sankar Giri, Cheng Chi, Saekil Yun, Hyoun Joong Kim, Sang Guen Kim, Jeong Woo Kang, Jun Kwon, Woo Taek Oh, Jehyun Cha, Seunghee Han, Byeong Chun Lee, Taesung Park, Byung Yeop Kim, Se Chang Park, Yi H
    PLOS ONE.2019; 14(3): e0212410.     CrossRef
  • Formulae Evaluation for Estimating Body Surface Area of Korean Children
    Lito M AMIT, Young-Woong SONG
    Journal of UOEH.2018; 40(1): 19.     CrossRef
  • The association of total blood mercury levels and overweight among Korean adolescents: analysis of the Korean National Health and Nutrition Examination Survey (KNHANES) 2010–2013
    Yi-Yeon Shin, In-Kyung Ryu, Mi-Jung Park, Shin-Hye Kim
    Korean Journal of Pediatrics.2018; 61(4): 121.     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
Activity Factors of the Korean Exposure Factors Handbook
Jae-Yeon Jang, Soo-Nam Jo, So-Yeon Kim, Kyung-Eun Lee, Kyung-Ho Choi, Young-Hee Kim
J Prev Med Public Health. 2014;47(1):27-35.   Published online January 29, 2014
DOI: https://doi.org/10.3961/jpmph.2014.47.1.27
  • 9,015 View
  • 100 Download
  • 6 Crossref
AbstractAbstract PDF

Exposure factors based on the Korean population are required for making appropriate risk assessment. It is expected that handbooks for exposure factors will be applied in many fields, as well as by health department risk assessors. The present article describes the development of an exposure factors handbook that specifically focuses on human activities in situations involving the possible risk of exposure to environmental contaminants. We define majour exposure factors that represent behavioral patterns for risk assessment, including time spent on routine activities, in different places, on using transportation, and engaged in activities related to water contact including swimming, bathing and washing. Duration of residence and employment are also defined. National survey data were used to identify recommended levels of exposure factors in terms of time spent on routine activities and period of residence and employment. An online survey was conducted with 2073 subjects who were selected using a stratified random sampling method in order to develop a list of exposure factors for the time spent in different places and in performing water-related activities. We provide the statistical distribution of the variables, and report reference levels of average exposure based on the reliable data in our exposure factors handbook.

Summary

Citations

Citations to this article as recorded by  
  • 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
  • Exposure parameters and health risk of Cryptosporidium and Giardia in the recreational water activities for urban residents in China
    Chong-Miao Zhang, Peng-Cheng Xu, Wei-Wei Du, Xiaochang C. Wang
    Environmental Science and Pollution Research.2022; 29(1): 1573.     CrossRef
  • Spatio-temporal variations of emerging sites infested with schistosome-transmitting Oncomelania hupensis in Hunan Province, China, 1949–2016
    Shengming Li, Ying Shi, Weicheng Deng, Guanghui Ren, Hongbin He, Benjiao Hu, Chunlin Li, Na Zhang, Yingyan Zheng, Yingjian Wang, Shurong Dong, Yue Chen, Qingwu Jiang, Yibiao Zhou
    Parasites & Vectors.2021;[Epub]     CrossRef
  • Characteristics and health effects of PM2.5 emissions from various sources in Gwangju, South Korea
    Injeong Kim, Kwangyul Lee, Sunhong Lee, Sang Don Kim
    Science of The Total Environment.2019; 696: 133890.     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
Overview of the Development of the Korean Exposure Factors Handbook
Jae-Yeon Jang, Soo-Nam Jo, So-Yeon Kim, Hyung-Nam Myung
J Prev Med Public Health. 2014;47(1):1-6.   Published online January 29, 2014
DOI: https://doi.org/10.3961/jpmph.2014.47.1.1
  • 11,484 View
  • 94 Download
  • 10 Crossref
AbstractAbstract PDF

A set of exposure factors that reflects the characteristics of individual behavior capable of influencing exposure is essential for risk and exposure assessment. In 2007, the Korean Exposure Factors Handbook was, therefore, issued, driven by the need to develop reliable exposure factors representing the Korean population. The purpose of this study was to overview the development process of the Korean Exposure Factors Handbook and major recommended exposure values for the Korean population to allow information exchanges and comparison of recommended values among nations. The researchers reviewed the domestic data that could be used in the development of exposure factors, confirmed a knowledge gap, and set a priority of development by phases. A methodology to measure exposure factors was established to develop measuring techniques and test their validity. Data were processed or a survey was conducted according to the availability of data. The study thus produced recommended values for 24 exposure factors grouped by general exposure factors, food ingestion factors, and activity factors by setting up a database of exposure factors and carrying out statistical analysis. The study has significantly contributed to reducing the potential uncertainty of the risk and exposure assessment derived by the application of foreign data or research findings lacking representativeness or grounds by developing a set of exposure factors reflecting the characteristics of the Korean people. It will be necessary to conduct revisions in light of the changing statistical values of national data and the exposure factors based on Korean characteristics.

Summary

Citations

Citations to this article as recorded by  
  • A SWOT analysis of contemporary gaps and a possible diagnostic tool for environmental health in an upper-middle income country: a case study of South Africa
    Setlamorago Jackson Mbazima, Thokozani Patrick Mbonane, Masilu Daniel Masekameni
    International Journal of Environmental Health Research.2022; 32(12): 2820.     CrossRef
  • City Soil Ranking According to the Level of Pollution: Approach Based on the Health Risk Assessment of the Child Population
    N V Stepanova, S F Fomina, N S Arkhipova
    IOP Conference Series: Earth and Environmental Science.2020; 459(3): 032018.     CrossRef
  • Spatiotemporal Variations of Indoor PM2.5 Concentrations in Nanjing, China
    Zhijuan Shao, Xiangjun Yin, Jun Bi, Zongwei Ma, Jinnan Wang
    International Journal of Environmental Research and Public Health.2019; 16(1): 144.     CrossRef
  • Seasonal Characteristics of the Chemical Composition of Fine Particles in Residences of Nanjing, China
    Guozhi Cao, Jun Bi, Zongwei Ma, Zhijuan Shao, Jinnan Wang
    International Journal of Environmental Research and Public Health.2019; 16(6): 1066.     CrossRef
  • Hygienic Evaluation of the Quality of Drinking Water and Risks for Health of the Population
    E R Valeeva, G A Ismagilova, N V Stepanova
    IOP Conference Series: Earth and Environmental Science.2019; 272(3): 032016.     CrossRef
  • Combined Assessment of Preschool Childrens’ Exposure to Substances in Household Products
    Joo-hyon Kim, Kwangseol Seok
    International Journal of Environmental Research and Public Health.2019; 16(5): 733.     CrossRef
  • Results of adolescent health risk assesment on exposure to habitat water peroral factor in conditions of a large industrial city
    E R Valeeva, N V Stepanova, G A Ismagilova, A I Ziyatdinova, D A Semanov
    IOP Conference Series: Earth and Environmental Science.2018; 107: 012079.     CrossRef
  • Health Risk Assessment on Hazardous Ingredients in Household Deodorizing Products
    Minjin Lee, Joo-Hyon Kim, Daeyeop Lee, Jaewoo Kim, Hyunwoo Lim, Jungkwan Seo, Young-Kwon Park
    International Journal of Environmental Research and Public Health.2018; 15(4): 744.     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
  • Risk assessment of gastric cancer associated with asbestosis: a case report
    Soo-Hong Park, Dong-Mug Kang, Bon-Hak Koo, Young-Ki Kim, Jong-Eun Kim
    Annals of Occupational and Environmental Medicine.2015;[Epub]     CrossRef
The Effects of Temperature on Heat-related Illness According to the Characteristics of Patients During the Summer of 2012 in the Republic of Korea
Wonwoong Na, Jae-Yeon Jang, Kyung Eun Lee, Hyunyoung Kim, Byungyool Jun, Jun-Wook Kwon, Soo-Nam Jo
J Prev Med Public Health. 2013;46(1):19-27.   Published online January 31, 2013
DOI: https://doi.org/10.3961/jpmph.2013.46.1.19
  • 11,108 View
  • 116 Download
  • 29 Crossref
AbstractAbstract PDF
Objectives

This study was conducted to investigate the relationship between heat-related illnesses developed in the summer of 2012 and temperature.

Methods

The study analyzed data generated by a heat wave surveillance system operated by the Korea Centers for Disease Control and Prevention during the summer of 2012. The daily maximum temperature, average temperature, and maximum heat index were compared to identify the most suitable index for this study. A piecewise linear model was used to identify the threshold temperature and the relative risk (RR) above the threshold temperature according to patient characteristics and region.

Results

The total number of patients during the 3 months was 975. Of the three temperature indicators, the daily maximum temperature showed the best goodness of fit with the model. The RR of the total patient incidence was 1.691 (1.641 to 1.743) per 1℃ after 31.2℃. The RR above the threshold temperature of women (1.822, 1.716 to 1.934) was greater than that of men (1.643, 1.587 to 1.701). The threshold temperature was the lowest in the age group of 20 to 64 (30.4℃), and the RR was the highest in the ≥65 age group (1.863, 1.755 to 1.978). The threshold temperature of the provinces (30.5℃) was lower than that of the metropolitan cities (32.2℃). Metropolitan cities at higher latitudes had a greater RR than other cities at lower latitudes.

Conclusions

The influences of temperature on heat-related illnesses vary according to gender, age, and region. A surveillance system and public health program should reflect these factors in their implementation.

Summary

Citations

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    International Journal of Hygiene and Environmental Health.2024; 255: 114296.     CrossRef
  • Analysis of Urban Heat Island Effect, Heat Stress and Public Health in Colombo, Sri Lanka and Shenzhen, China
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JPMPH : Journal of Preventive Medicine and Public Health