• Title/Summary/Keyword: risk assessment tool

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A Lifestyle Communication Tool: Association of E-cigarette Use and Pre-diabetes

  • Nilanga Aki Bandara;Tanisha Vallani;Xuan Randy Zhou;Senara Hansini Palihawadane;Rochelle Gamage;Miles Mannas;Jay Herath
    • Journal of Preventive Medicine and Public Health
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    • v.56 no.4
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    • pp.384-387
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    • 2023
  • The aim of this study was to present a framework for clinicians to use when discussing electronic cigarette (e-cigarette) use and its association with pre-diabetes. A communication tool was designed using evidence-based strategies from the academic literature. A four-step framework is presented, which includes: step (1) helping patients to understand the association between e-cigarette use and pre-diabetes; step (2) the synergistic health impacts of e-cigarette use and pre-diabetes; step (3) management of diabetes-related lifestyle factors; and step (4) stages of change assessment related to e-cigarette reduction. This communication tool provides support for clinicians to discuss the risk of pre-diabetes associated with e-cigarette use. Moving forward, implementation and evaluation of this model are needed.

Total Diet Studies as a Tool for Ensuring Food Safety

  • Lee, Joon-Goo;Kim, Sheen-Hee;Kim, Hae-Jung;Yoon, Hae-Jung
    • Toxicological Research
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    • v.31 no.3
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    • pp.221-226
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    • 2015
  • With the diversification and internationalization of the food industry and the increased focus on health from a majority of consumers, food safety policies are being implemented based on scientific evidence. Risk analysis represents the most useful scientific approach for making food safety decisions. Total diet study (TDS) is often used as a risk assessment tool to evaluate exposure to hazardous elements. Many countries perform TDSs to screen for chemicals in foods and analyze exposure trends to hazardous elements. TDSs differ from traditional food monitoring in two major aspects: chemicals are analyzed in food in the form in which it will be consumed and it is cost-effective in analyzing composite samples after processing multiple ingredients together. In Korea, TDSs have been conducted to estimate dietary intakes of heavy metals, pesticides, mycotoxins, persistent organic pollutants, and processing contaminants. TDSs need to be carried out periodically to ensure food safety.

Collapse Probability of a Low-rise Piloti-type Building Considering Domestic Seismic Hazard (국내 지진재해도를 고려한 저층 필로티 건물의 붕괴 확률)

  • Kim, Dae-Hwan;Kim, Taewan;Chu, Yurim
    • Journal of the Earthquake Engineering Society of Korea
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    • v.20 no.7_spc
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    • pp.485-494
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    • 2016
  • The risk-based assessment, also called time-based assessment of structure is usually performed to provide seismic risk evaluation of a target structure for its entire life-cycle, e.g. 50 years. The prediction of collapse probability is the estimator in the risk-based assessment. While the risk-based assessment is the key in the performance-based earthquake engineering, its application is very limited because this evaluation method is very expensive in terms of simulation and computational efforts. So the evaluation database for many archetype structures usually serve as representative of the specific system. However, there is no such an assessment performed for building stocks in Korea. Consequently, the performance objective of current building code, KBC is not clear at least in a quantitative way. This shortcoming gives an unresolved issue to insurance industry, socio-economic impact, seismic safety policy in national and local governments. In this study, we evaluate the comprehensive seismic performance of an low-rise residential buildings with discontinuous structural walls, so called piloti-type structure which is commonly found in low-rise domestic building stocks. The collapse probability is obtained using the risk integral of a conditioned collapse capacity function and regression of current hazard curve. Based on this approach it is expected to provide a robust tool to seismic safety policy as well as seismic risk analysis such as Probable Maximum Loss (PML) commonly used in the insurance industry.

A Study on Re-entry Predictions of Uncontrolled Space Objects for Space Situational Awareness

  • Choi, Eun-Jung;Cho, Sungki;Lee, Deok-Jin;Kim, Siwoo;Jo, Jung Hyun
    • Journal of Astronomy and Space Sciences
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    • v.34 no.4
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    • pp.289-302
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    • 2017
  • The key risk analysis technologies for the re-entry of space objects into Earth's atmosphere are divided into four categories: cataloguing and databases of the re-entry of space objects, lifetime and re-entry trajectory predictions, break-up models after re-entry and multiple debris distribution predictions, and ground impact probability models. In this study, we focused on reentry prediction, including orbital lifetime assessments, for space situational awareness systems. Re-entry predictions are very difficult and are affected by various sources of uncertainty. In particular, during uncontrolled re-entry, large spacecraft may break into several pieces of debris, and the surviving fragments can be a significant hazard for persons and properties on the ground. In recent years, specific methods and procedures have been developed to provide clear information for predicting and analyzing the re-entry of space objects and for ground-risk assessments. Representative tools include object reentry survival analysis tool (ORSAT) and debris assessment software (DAS) developed by National Aeronautics and Space Administration (NASA), spacecraft atmospheric re-entry and aerothermal break-up (SCARAB) and debris risk assessment and mitigation analysis (DRAMA) developed by European Space Agency (ESA), and semi-analytic tool for end of life analysis (STELA) developed by Centre National d'Etudes Spatiales (CNES). In this study, various surveys of existing re-entry space objects are reviewed, and an efficient re-entry prediction technique is suggested based on STELA, the life-cycle analysis tool for satellites, and DRAMA, a re-entry analysis tool. To verify the proposed method, the re-entry of the Tiangong-1 Space Lab, which is expected to re-enter Earth's atmosphere shortly, was simulated. Eventually, these results will provide a basis for space situational awareness risk analyses of the re-entry of space objects.

Ultrasonography for Facial Nerve Palsy: A Systematic Review and Meta-Analysis Protocol

  • Seojung Ha;Bo-In Kwon;Joo-Hee Kim
    • Journal of Acupuncture Research
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    • v.41 no.1
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    • pp.63-68
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    • 2024
  • Background: Facial nerve palsy presents a significant healthcare challenge, impacting daily life and social interactions. This systematic review investigates the potential utility of ultrasonography as a diagnostic tool for facial nerve palsy. Methods: Electronic searches will be conducted across various databases, including MEDLINE, EMBASE, CENTRAL (Cochrane Central register of Controlled Trials), CNKI (China National Knowledge Infrastructure), KMBASE (Korean Medical Database), ScienceON, and OASIS (Oriental Medicine Advanced Searching Integrated System), up to February 2024. The primary outcome will focus on ultrasonography-related parameters, such as facial nerve diameter and muscle thickness. Secondary outcomes will encompass clinical measurements, including facial nerve grading scales and electrodiagnostic studies. the risk of bias in individual study will be assessed using the Cochrane Risk of Bias assessment tool, while the grading of recommendations, assessment, development, and evaluations methodology will be utilized to evaluate the overall quality of evidence. Conclusion: This study aims to review existing evidence and evaluate the diagnostic and prognostic value of ultrasonography for peripheral facial nerve palsy.

Predictive Modeling for Microbial Risk Assessment (MRA) from the Literature Experimental Data

  • Bahk, Gyung-Jin
    • Food Science and Biotechnology
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    • v.18 no.1
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    • pp.137-142
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    • 2009
  • One of the most important aspects of conducting this microbial risk assessment (MRA) is determining the model in microbial behaviors in food systems. However, to fully these modeling, large expenditures or newly laboratory experiments will be spent to do it. To overcome these problems, it has to be considered to develop the new strategies that can be used data in the published literatures. This study is to show whether or not the data set from the published experimental data has more value for modeling for MRA. To illustrate this suggestion, as example of data set, 4 published Salmonella survival in Cheddar cheese reports were used. Finally, using the GInaFiT tool, survival was modeled by nonlinear polynomial regression model describing the effect of temperature on Weibull model parameters. This model used data in the literatures is useful in describing behavior of Salmonella during different time and temperature conditions of cheese ripening.

Application of Matrices and Risk Assessment of Industries and Processes using DMF (DMF 취급 사업장에 대한 매트릭스 적용 및 위험성 평가 연구)

  • Ha, Kwon Chul;Park, Dong-Uk;Yoon, Chung Sik;Choi, Sang Jun;Lee, Gwang Yong;Paik, Do Hyun;Nam, Tek Hyung;Lee, Jae Hwan;Lee, Jong Keun;Jung, Eun-Kyo
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.18 no.4
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    • pp.303-309
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    • 2008
  • The reduction of risk within the workplace has long been focus of attention both through industry initiatives and legislation. Exposure matrices according to industries and processes treated DMF (N,N-Dimethylformamide) were constructed based on KOSHA (Korean Occupational Safety and Health Agency)'s 2005 exposure database which were gathered from Korean agencies of workplace hazards evaluation for business place. These exposure matrices were assessed by danger value (DV) that was calculated from combination of hazard rating, duration of use rating, and risk probability rating of exposure to chemical hazardous agents in accordance with Hallmark Risk Assessment Tool. The results of risk assessment is divided four kinds of control bands which were related with control measures. The applicability of risk assessment using exposure matrices was performed by field study and survey for high matrices group. This study found that more attentions should be paid to two industries, manufacture of sewn wearing apparel and manufacture of textiles, among 19 industries, and to 3 processes, coating, processing & mixing, and lab, among 80 processes because those were regarded as having the highest risk.

Validation of the Risk Prediction Tool for Wound Infection in Abdominal Surgery Patients (복부 수술환자의 수술부위 감염 위험 예측 도구의 타당도 검증)

  • Jung, Hyun Kyoung;Lee, Eun Nam
    • Journal of Korean Critical Care Nursing
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    • v.15 no.3
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    • pp.75-87
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    • 2022
  • Purpose : This retrospective investigation study aimed to determine the predictive validity of superficial surgical site infection assessment tools by measuring the risk score at the surgical site. Methods : This study included patients hospitalized to the general surgery department of a Hospital from January 2021 to December 31, 2021. The inclusion criteria were age ≥19 years, general abdominal surgery under general anesthesia, and hospital stay longer than 2 days. Patients who had undergone transplantation were excluded. Results : Tool validity results showed that tools including surgical time and operative procedure were more accurate than previously developed tools, with a sensitivity of 71.1%, specificity of 71.4%, positive prediction of 12.3%, negative prediction of 97.8%, and area under the curve of 0.743 (95% confidence interval, 0.678~0.745). The tool's cut-off score was 15, and the risks of infection was increased by 6.14 times at or above this cut-off point. Preoperative hair removal period, surgical wound classification, surgery time, body temperature on the second day after surgery, drainage tube type, and suture type affected the risk of infection at the surgical site. Conclusion : The incidence of healthcare-associated infections has been declining in the past decade; however, surgical site infections still account for a considerable proportion. Therefore, early identification of high-risk groups for surgical site infection is crucial for reducing the incidence of surgical site infection using appropriate management.

A Study on the Awareness of Safety and Health for Practical Application of Risk Assessment in Construction Industries -Focused on Worker- (건설업 위험성평가 실무적 적용을 위한 안전보건 인식도 조사 연구 -근로자를 중심으로-)

  • Choi, Soo Hwan;Oh, Tae Keun
    • Journal of the Korean Society of Safety
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    • v.28 no.2
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    • pp.60-65
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    • 2013
  • On the basis of the guideline "2012-104(2012.9.26.)" notified by the ministry of employment and labor, this paper provided the baseline data and the improvement proposal in applying risk assessment to a construction site by group interview & survey of construction workers. The worker's awareness and action plan of safety and health were investigated by numerical analysis. From the result of group interview and the survey of construction workers, it was found that most of construction workers feel the danger during the work. The results also shows that risk assessment can help to change & raise the awareness of safety and to reduce the industrial disaster. In addition, simple safety management activity such as TBM & active education of safety will be necessary for safe workspace and the active TBT(tool box talk) which combines TBM & the education of safety will be also effective.

Developing a Multi-purpose Ecotoxicity Database Model and Web-based Searching System for Ecological Risk Assessment of EDCs in Korea (웹 기반 EDCs 생태 독성 자료베이스 모델 및 시스템 개발)

  • Kwon, Bareum;Lee, Hunjoo
    • Journal of Environmental Health Sciences
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    • v.43 no.5
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    • pp.412-421
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    • 2017
  • Objectives: To establish a system for integrated risk assessment of EDCs in Korea, infrastructure for providing toxicity data of ecological media should be established. Some systems provide soil ecotoxicity databases along with aquatic ecotoxicity information, but a well-structured ecotoxicity database system is still lacking. Methods: Aquatic and soil ecotoxicological information were collected by a toxicologist based on a human readable data (HRD) format for collecting ecotoxicity data that we provided. Among these data, anomalies were removed according to database normalization theory. Also, the data were cleaned and encoded to establish a machine-readable data (MRD) ecotoxicity database system. Results: We have developed a multi-purpose ecotoxicity database model focusing on EDCs, ecological species, and toxic effects. Also, we have constructed a web-based data searching system to retrieve, extract, and download data with greater availability. Conclusions: The results of our study will contribute to decision-making as a tool for efficient ecological risk assessment of EDCs in Korea.