• 환경정책연구
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• 제7권1호
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• pp.1-29
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• 2008

환경부에서 추진하고 있는 "환경보건법" 이 2008년 2월 국회를 통과함에 따라 향후 법 제13조(건강영향 항목의 추가 평가 등) 제1항의 규정에 따라 사전환경성검토 또는 "환경영향평가법"에 따른 환경영향평가의 대상이 되는 행정계획 및 개발사업 중 대통령령으로 정하는 행정계획 및 개발사업에 대하여는 검토 평가 항목에 환경유해인자가 국민건강에 미치는 영향을 추가하여 평가하도록 하는 건강영향평가제도가 시행될 것으로 예상된다. 이에 본 연구에서는 주요 개발사업 중 인체 건강에 미칠 영향이 클 것으로 예상되는 매립장을 대상으로, 매립장에서 배출되는 매립가스의 호흡노출로 인한 인체위해성평가를 실시하여 향후 추진될 건강영향평가제도의 국내 적용 가능성을 파악하고자 하였다. 이를 위해 첫째, 미국 EPA의 매립장 배출가스 산출 추천모델인 LandGEM v. 3.02(Landfill Air Emissions Estimation Model v. 3.02)를 이용하여 매립장에서 배출되는 매립가스의 배출량을 산정하였고, 대기확산모델인 K-SCREEN을 수행하여 매립장 주변지역에 미치는 확산농도를 예측하였다. 마지막으로 K-SCREEN 모델을 통해 예측된 유해 오염물질의 확산농도를 토대로 발암성 물질에 대해서는 여러 노출변수들을 적용하여 인체노출량을 산출한 후 발암위해도 평가를 수행하였고 비발암성 물질에 대해서는 위해도지수를 계산하였다. 본 연구에서 수행한 매립가스의 호흡노출로 인한 인체위해성평가 기법은 향후 매립장 조성사업에 대한 건강영향평가 시행시 의사결정자들과 일반대중이 과학적 기반 위에서 합리적인 의사결정을 하는데 필요한 정보를 제공하는데 있어 적용이 가능할 것으로 사료된다. 또한, 본 연구에서 제시한 몇 가지 연구의 한계점들은 관련 연구자들의 체계적인 연구를 통해 극복할 필요가 있으며, 이러한 한계점들이 개선된다면 좀 더 신뢰성 있는 결과를 산출할 수 있을 것으로 판단된다.

• 한국식품위생안전성학회지
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• 제23권3호
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• pp.276-283
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• 2008

국내 외 선행연구결과에 의한 어린이 출생 전 후 건강에 영향을 미칠 수 있는 주요 유해물질은 inorganic arsenic, BPA, 2,4-D, dichlorvos, methylmercury, PCBs, pesticide, phthalate, PFOA/PFOS, vinyl chloride 등으로서 국내에서도 이들을 포함한 확인 연구가 수행되어져야 할 것이다. 또한 어린이들의 행동발달과 연관된 생활환경에서의 다양한 인체노출이 확인됨에 따라 탁아소, 유치원과 같은 경우 어린이 활동공간을 대상으로 환경모니터링 및 위해관리활동도 병행되어야 할 것이다. 또한 어린이 건강에 영향을 미치는 유해물질을 중심으로 독성평가, 인체영향연구, 환경 및 인체모니터링과 위해평가를 수행하므로 유해물질의 원인-상관관계를 확인하고 사실자료에 근거한 관리정책을 반영하는 것이 바람직하다.

• Environmental Analysis Health and Toxicology
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• 제20권4호통권51호
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• pp.259-271
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• 2005

Engineered nanoparticles exhibit a variety of unique and tunable chemical and physical properties. These unique properties make the nanoparticles central components and widespread potential applications in nanoindustry. However, the potential toxicities of nanoparticles have not been fully evaluated. Recently, the impacts of nanoparticles to human and environment became the emerging issue of toxicology. In this article, physicochemical properties and toxicities of carbon nanotube, fullerene, quantum dots, and other types of nanomaterials were reviewed and the strategy of risk assessment were suggested based on the frame of chemical assessment.

• International Journal of Human Ecology
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• 제2권1호
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• pp.135-152
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• 2001

The purpose of this study was to investigate the association of protective and risk factors with adolescent delinquency. Using nationally representative data from the National Longitudinal Study of Adolescent Health (Add Health) project, the delinquency level and the influence of individual characteristics, dyadic relationships in the family, school and peer variables on adolescent delinquency were examined by gender. Boys and girls differed in delinquency level with boys showing significantly higher delinquency than girls. The relative influence of protective and risk factors in individual, familial, peer, and school contexts differed by gender as well. More diverse variables influenced the delinquency level of girls than that of boys.

• Journal of Dairy Science and Biotechnology
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• 제29권2호
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• pp.69-73
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• 2011

Food borne pathogens are a growing concern for human health and food safety throughout the world. Milk and dairy products are commonly associated with spoilage or contamination from a wide variety of physical, microbial, and chemical hazardous. Microbiological risk analysis consists of three components: risk assessment, risk management, and risk communication, and overall objective of this process is ultimately public health protection. The microbiological risk assessment is useful tool to evaluate food safety as it is based on a scientific approach. In addition risk assessment process includes quantitative estimation of the probability of occurrence of microbial hazards to evaluate more accurate human exposure. The aim of this study is to review the microbiological risk assessment on the prevalence of bacterial foodborne pathogens in milk and dairy products.

• 한국환경보건학회지
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• 제46권2호
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• pp.136-149
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• 2020

Objectives: The purpose of this study was to perform an aggregate human risk assessment for benzene in an industrial complex using the CalTOX model and to improve the reliability and predictability of the model by analyzing the uncertainty and sensitivity of the predicted assessment results. Methods: The CalTOX^TM 4.0 beta model was used to evaluate a selected region, and @Risk 7.6 software was used to analyze uncertainty and sensitivity. Results: As a result of performing the aggregate risk assessment on the assumption that 6.45E+04 g/d of benzene would be emitted into the atmosphere over two decades, 3% of the daily source term to air remained in the selected region, and 97% (6.26E+04 g/d) moved out of the region. As for exposure by breathing, the predicted LADD_inhalation was 2.14E-04 mg/kg-d, and that was assessed as making a 99.99% contribution to the LADD_total. Regarding human Risk_cancer assessment, the predicted human cancer risk was 5.19E-06 (95% CI; 4.07E-06-6.81E-06) (in the 95th percentile corresponding to the highest exposure level, a confidence interval of 90%). As a result of analyzing sensitivity, 'source term to air' was identified as the most influential variable, followed by 'exposure time, active indoors (h/day)', and 'exposure duration (years)'. Conclusions: As for the results of the human cancer risk assessment for the selected region, the predicted human cancer risk was 5.19E-06 (95% CI; 4.07E-06-6.81E-06) (in the 95th percentile, corresponding to the highest exposure level, a confidence interval of 90%). As a result of analyzing sensitivity, 'source term to air' was found to be most influential.

• 한국학교보건학회지
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• 제36권3호
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• pp.113-125
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• 2023

Purpose: The purpose of this study is to develop a model for predicting mental health risk among adolescents based on health behavior information by employing a hybrid machine learning method. Methods: The study analyzed data of 51,850 domestic middle and high school students from 2022 Youth Health Behavior Survey conducted by the Korea Disease Control and Prevention Agency. Firstly, mental health risk levels (stress perception, suicidal thoughts, suicide attempts, suicide plans, experiences of sadness and despair, loneliness, and generalized anxiety disorder) were classified using the k-mean unsupervised learning technique. Secondly, demographic factors (family economic status, gender, age), academic performance, physical health (body mass index, moderate-intensity exercise, subjective health perception, oral health perception), daily life habits (sleep time, wake-up time, smartphone use time, difficulty recovering from fatigue), eating habits (consumption of high-caffeine drinks, sweet drinks, late-night snacks), violence victimization, and deviance (drinking, smoking experience) data were input to develop a random forest model predicting mental health risk, using logistic and XGBoosting. The model and its prediction performance were compared. Results: First, the subjects were classified into two mental health groups using k-mean unsupervised learning, with the high mental health risk group constituting 26.45% of the total sample (13,712 adolescents). This mental health risk group included most of the adolescents who had made suicide plans (95.1%) or attempted suicide (96.7%). Second, the predictive performance of the random forest model for classifying mental health risk groups significantly outperformed that of the reference model (AUC=.94). Predictors of high importance were 'difficulty recovering from daytime fatigue' and 'subjective health perception'. Conclusion: Based on an understanding of adolescent health behavior information, it is possible to predict the mental health risk levels of adolescents and make interventions in advance.

• 환경영향평가
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• 제19권3호
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• pp.271-279
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• 2010

We conducted a quantitative human health risk assessment with respect to inhalation of heavy metals for residents of housing developments in "new towns" where an incinerator will be operated within the area scheduled for construction thereof. To assess potential human health risk we calculated the amount of heavy metals emitted from the incinerator, and then forecasted the potential health impact on adjoining areas where new housing is to be developed (i.e. "new towns") at different altitudes by a using SCREEN-3 model. We assessed Cancer Risk (CR) caused by known carcinogens using the Inhalation Unit Risk criteria developed by the US Environmental Protection Agency. Notably, we assessed risk by determining concentrations of heavy metals on a floor by floor basis, as apartment buildings are to be constructed near the incinerator according to a pre-devised plan. Results indicated that cancer risk for most carcinogens exceeded US EPA standards for the highest locations at each collection point. This result indicates that construction of high buildings in areas adjoining incinerators is undesirable, and that measures to lower carcinogens are needed. The results of this study, which assessed health risk from exposure to heavy metals emitted from a nearby incinerator, can be useful in land use planning with respect to the location of housing developments in new towns, as well as the heights of any buildings constructed. Furthermore, the methodology deployed herein with respect to risk assessment can be helpful for policy makers and the general public in the event of conflicts regarding incinerator projects in the future. The results herein may also be of merit in determining priorities when establishing harm reduction measures for carcinogens at incinerators. However, the study does contain several limitations. The SCREEN-3 model, a kind of screening model that provides conservative results, can provide higher forecasted concentrations of air pollutants than other models. Moreover, although the incinerator in question is set to be a thermoselect type, domestic data for emissions from these incinerators is not available, and assumptions were based on a stoker type incinerator. Insufficient domestic data likewise compelled the use of data of USA, resulting in possible errors in results. Continued research will thus be required to develop systematic methodologies that address the foregoing factors and produce more reliable outcomes.

• 생태와환경
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• 제41권1호
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• pp.34-42
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• 2008

본 연구에서는 사람의 건강 보호를 위한 수질환경기준 항목 확대를 위해 20개 수질유해화학물질을 대상으로 US EPA의 발암 비발암 영향 수식을 국내 실정에 맞게 수정 및 보완하여 인체 위해성 평가를 수행하였다. 또한 인체 위해성 평가를 기반으로 선정된 우선순위 물질에 대해 기술적 경제적 영향 분석을 통해 행정적 목표로서의 적용 타당성을 판별하였다. 그리하여 20개 우선순위 물질 중 diethylhexylphthalate가 위해 우려가 가장 높은 물질로 평가되었고, 항목별 수질환경기준으로 활용 가능한 기준치(안)은 단계적 강화 측면에서 대체로 먹는물 기준 수준으로 제시되었다. 본 연구에서 활용된 인체 위해성 평가와 수질환경기준(안)제시 방안은 현 단계에서 적용 가능한 방법으로, 향후 보다 합리적인 기준 설정을 위해 수정 및 보완될 필요가 있다. 즉 담수어류 섭취량 자료 확보, 수질 모니터링 자료 축적, 먹는 물 기준 이하로의 수질환경기준치 설정 가능 기반 확립 등의 측면을 보강한다면 향후 국내 수질환경기준 항목 확대에 과학적 근거를 제시할 수 있을 것으로 사료된다.

• 산업경영시스템학회지
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• 제32권4호
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• pp.101-106
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• 2009

The unsafe act and unsafe condition is due to human error that experience 80% of safety accidents. Accordingly, one of the most important issues to reduce industrial accidents as a whole, is how to reduce the accident rate by the human error. Therefore, this paper describes the development of quantitative risk assessment (QRA) model by ergonomics for reform of safety consciousness on the semiconductor industry. Unconsciousness, disregard, ignorance, recklessness, and stress among the human factors are selected for conscious reform. Finally, the QRA model is efficiently expected to contribute towards improving continuous self-safety and health and safety culture campaign in order to prevent industrial accidents.