1.On exposome and exposomics.
Chinese Journal of Epidemiology 2012;33(9):973-976
4.The Study on the Relationships Between Inhalation Volume and Exposure Duration and Biological Indices of Mercury among Workers Exposed to Mercury.
Hye Kyung PARK ; Jong Tae PARK ; Eun Il LEE ; Yong Tae YUM
Korean Journal of Preventive Medicine 1994;27(3):597-608
This study was conducted to evaluate the relationships between the environmental exposure and biological monitoring among workers exposed to metallic mercury. We interviewed each workers to get the medical history including previous hazardous occupational history we measured the respiration rate and tidal volume of each worker in order to calculate the 8-hour inhaled mercury of workers. And we wanted to evaluate the effect of exposure duration to mercury concentrations in blood and urine as biologic exposure indices of metallic mercury. The regression and correlation analysis were done to the relationships of 8-hour inhaled mercury are mercury in blood and urine. The results were as follows; 1. The subjects were 35 fluorescent lamp manufacturing workers. The mean age of subjects was 24.8 years old, and the mean work careers of workers was 1.19 years. 89% of the total was consisted man. 2. The correlation coefficients between 8-hour inhaled mercury and mercury in blood and urine were higher than that of only considered air mercury concentration. 3. The correlation coefficients of 8-hour inhaled mercury and mercury in blood and urine were above 0.9 in workers who had exposed to mercury more than 1 year. 4. The R-square value and -value of regression analysis between the 8-hour inhaled mercury and mercury inn blood and urine was also higher in workers who had exposed to mercury over 1 year than in workers who had less than 1 year working experience. The important results or this study were that relationships between the 8hr-inhaled mercury and mercury in blood and urine was very high than that with air mercury concentration only. And the results were very apparent when considering workers 1 year or more. Therefore we concluded that the work career and respiratory volume of each individuals should be considered in evaluation the results of biological monitoring of workers exposed to metallic mercury.
Environmental Exposure
;
Environmental Monitoring
;
Inhalation*
;
Respiratory Rate
;
Tidal Volume
5.The effect of Endocrine disrupting chemicals on myocardial fibrosis and related mechanism.
Chinese Journal of Industrial Hygiene and Occupational Diseases 2022;40(2):156-160
Endocrine-disrupting chemicals (EDCs) an exogenous agent that interferes with the synthesis, secretion, transport, binding, action, or can mimic the occurrence of natural hormones that damage for the balance of homeostasis. Exposure to EDCs results in damage to human health that may persist in the long term. In recent years, accumulative evidence has demonstrated that EDCs also play a pivotal role in the onset and development of myocardial fibrosis, including heart failure, hypertension and vascular stiffening. Studies indicate that EDCs plays the negative effects of the cardiovascular system, however, EDCs-induced toxicity on heart remains unclear. This review summarized EDCs-induced myocardial fibrosis, and discuss the possible mechanisms of myocardial fibrosis induced by EDCs. This paper could provide further understandings for prevention, diagnosis and treatment of myocardial fibrosis.
Endocrine Disruptors/toxicity*
;
Environmental Exposure
;
Environmental Pollutants
;
Fibrosis
;
Humans
8.Causal inference in environmental epidemiology
Sanghyuk BAE ; Hwan Cheol KIM ; Byeongjin YE ; Won Jun CHOI ; Young Seoub HONG ; Mina HA
Environmental Health and Toxicology 2017;32(1):2017015-
Inferring causality is necessary to achieve the goal of epidemiology, which is to elucidate the cause of disease. Causal inference is conducted in three steps: evaluation of validity of the study, inference of general causality, and inference of individual causality. To evaluate validity of the study, we propose a checklist that focuses on biases and generalizability. For general causal inference, we recommend utilizing Hill’s 9 viewpoints. Lastly, individual causality can be inferred based on the general causality and evidence of exposure. Additional considerations may be needed for social or legal purposes; however, these additional considerations should be based on the scientific truth elucidated by the causal inference described in the present article.
Bias (Epidemiology)
;
Checklist
;
Environmental Exposure
;
Epidemiology
9.The interaction between gut microbiome and nutrients on development of human disease through epigenetic mechanisms
Genomics & Informatics 2019;17(3):e24-
Early environmental exposure is recognized as a key factor for long-term health based on the Developmental Origins of Health and Disease hypothesis. It considers that early-life nutrition is now being recognized as a major contributor that may permanently program change of organ structure and function toward the development of diseases, in which epigenetic mechanisms are involved. Recent researches indicate early-life environmental factors modulate the microbiome development and the microbiome might be mediate diet-epigenetic interaction. This review aims to define which nutrients involve microbiome development during the critical window of susceptibility to disease, and how microbiome modulation regulates epigenetic changes and influences human health and future prevention strategies.
Environmental Exposure
;
Epigenomics
;
Gastrointestinal Microbiome
;
Humans
;
Microbiota
10.Introduction of a tool to assess Risk of Bias in Non-randomized Studies-of Environmental Exposure (ROBINS-E).
Wei Wei WANG ; Qing Xin ZHOU ; Lei MA ; Shi Hao FENG ; Zhi Rong YANG ; Feng SUN ; Si Yan ZHAN
Chinese Journal of Epidemiology 2022;43(1):98-104
This paper summaries the Risk of Bias in Non-randomized Studies-of Environmental Exposure (ROBINS-E), a tool for evaluating risk of bias about non-randomized studies of exposures (NRSE), and introduces the application of ROBINS-E in a published NRSE. According to the characteristics of NRSE, evaluation fields and signaling questions were designed in ROBINS-E to provide essential information about risk of bias for NRSE included in systematic reviews and GRADE. ROBINS-E is the tool in assessment of risk of bias in observational studies and quasi-randomized studies. Although the tool has been used in practice to some extent, but it still needs further improvement. Attention should be paid to its update and progress.
Bias
;
Environmental Exposure
;
Humans
;
Systematic Reviews as Topic