• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.3
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• pp.153-162
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• 2016

The aim of this study was to estimate the prevalence of the metabolic syndrome risk factors for adults in the general population, understand the relationship of each factor with the obesity indicators, and examine the relevance and validity for predicting the metabolic syndrome in obese indicators. The study subjects were 1,051 adults aged 20 years and over, who underwent a health package check-up at the Korea Association of Health Promotion, D-branch from Feb. to Nov. 2014. As a result, the prevalence rates of metabolic syndrome of the study subjects were 21.5%, and the prevalence rates of the metabolic risk factors were as follows: 31.8% of men and 41.6% of women for abdominal obesity; 35.6% of men and 17.3% of women for TG; 17.6% of men and 34.2% of women for HDL-C; 53.5% of men and 35.9% of women for blood pressure; and 14.9% of men and 6.8% of women for FBS. The prevalence rates of metabolic syndrome were significantly higher in the older age group, in the group with the higher BMI, and in the group of higher level of drinking frequency. In the predictive indicators of obesity on metabolic syndrome risk factors, the waist / height ratio was higher than other indicators. Conclusively, WHtR appeared to be a useful indicator to show abdominal obesity and is better in selecting metabolic syndrome patients compared to other obesity indicators.

• Earthquakes and Structures
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• v.18 no.1
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• pp.73-82
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• 2020

With the coal mining depth increasing, both stress and gas pressure rapidly enhance, causing coal and gas outburst risk to become more complex and severe. The conventional method for prediction of coal and gas outburst adopts one prediction index and corresponding critical value to forecast and cannot reflect all the factors impacting coal and gas outburst, thus it is characteristic of false and missing forecasts and poor accuracy. For the reason, based on analyses of both the prediction indicators and the factors impacting coal and gas outburst at the test site, this work carefully selected 6 prediction indicators such as the index of gas desorption from drill cuttings Δh₂, the amount of drill cuttings S, gas content W, the gas initial diffusion velocity index ΔP, the intensity of electromagnetic radiation E and its number of pulse N, constructed the Bayes discriminant analysis (BDA) index system, studied the BDA-based multi-index comprehensive model for forecast of coal and gas outburst risk, and used the established discriminant model to conduct coal and gas outburst prediction. Results showed that the BDA - based multi-index comprehensive model for prediction of coal and gas outburst has an 100% of prediction accuracy, without wrong and omitted predictions, can also accurately forecast the outburst risk even for the low indicators outburst. The prediction method set up by this study has a broad application prospect in the prediction of coal and gas outburst risk.

• International Journal of Naval Architecture and Ocean Engineering
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• v.11 no.1
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• pp.22-32
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• 2019

On offshore platforms, oil and gas leaks are apt to be the initial events of major accidents that may result in significant loss of life and property damage. To prevent accidents induced by leakage, it is vital to perform a case-specific and accurate risk assessment. This paper presents an integrated method of Ddynamic Qquantitative Rrisk Aassessment (DQRA)-using the Decision Making Trial and Evaluation Laboratory (DEMATEL)-Bayesian Network (BN)-for evaluation of the system vulnerabilities and prediction of the occurrence probabilities of accidents induced by leakage. In the method, three-level indicators are established to identify factors, events, and subsystems that may lead to leakage, fire, and explosion. The critical indicators that directly influence the evolution of risk are identified using DEMATEL. Then, a sequential model is developed to describe the escalation of initial events using an Event Tree (ET), which is converted into a BN to calculate the posterior probabilities of indicators. Using the newly introduced accident precursor data, the failure probabilities of safety barriers and basic factors, and the occurrence probabilities of different consequences can be updated using the BN. The proposed method overcomes the limitations of traditional methods that cannot effectively utilize the operational data of platforms. This work shows trends of accident risks over time and provides useful information for risk control of floating marine platforms.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.3
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• pp.637-644
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• 2012

In our current information focused society, information is regarded as a core asset and the leakage of customers' information has emerged as a critical issue, especially in financial companies. It is very likely that the technology that safeguards which is currently in commercial use is not focused at an enterprise level but is fragmented by function or by only guards portions of a customer's personal information. Therefore, It is necessary to study the systems which monitor the indicators of access at an enterprise level in order to preemptively prevent the compromise of such data. This study takes an enterprise perspective on such systems for a financial company. I will focus on examination of the methods of implementation of the monitoring system, the application of pattern analysis and examination of Security Risk Indicators (SRI). A trial of the monitoring system provided security managers and related departments with proper screening capabilities of information. Therefore, it is possible to establish a systemic counter-plans based on detectable patterns.

• Korean Journal of Community Nutrition
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• v.29 no.3
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• pp.189-198
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• 2024

Objectives: The sodium index is an index that converts the estimated sodium intake calculated using a verified and reliable sodium estimation formula. This study aimed to determine the relationship between the sodium index and obesity indicators and the potential impact of excessive sodium consumption on obesity. Methods: Obesity indicators, such as body mass index (BMI), body fat percentage, waist-to-hip ratio (WHR), and visceral fat levels, were analyzed in 120 university students (60 men and 60 women). The sodium index was calculated by indexing the estimated sodium intake according to age, sex, BMI, salt-eating habits, and salt-eating behaviors. The relationship between sodium index and obesity indicators was analyzed using multiple logistic regression. Results: The estimated sodium intake was 3,907.1 mg, with 76.7% of the participants categorized under the "careful" level of sodium index and 10.8% under the "moderate" level. As the sodium index increased, the BMI, body fat percentage, WHR, and visceral fat levels significantly increased. All obesity indicators significantly increased in patients with a "severe" sodium index than in those with a "moderate" sodium index. In addition, a strong positive correlation was identified between obesity indicators and sodium index. When the "severe" sodium index was compared with the "moderate" sodium index, the risk of obesity based on body fat percentage increased by 2.181 times (95% confidence interval [CI], 1.526-3.118), while the risk of obesity based on visceral fat level increased by 4.073 times (95% CI, 2.097-7.911). Conclusions: Our findings suggest a correlation between excessive sodium intake and obesity. Moreover, the sodium index can be used to determine sodium intake.

• Journal of the Society of Disaster Information
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• v.19 no.3
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• pp.719-728
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• 2023

Purpose: Mobile cranes are machines that contribute to high mortality, and the High Risk Factor (SIF) information, which analyzed 2,574 accidental deaths in the construction industry in the past 6 years (2016~2021), resulted in a total of 61 mobile crane accidents. Despite safety measures in the field, it is not used properly. In this study, we present standard risk assessment indicators that contribute to accident prevention. Method: Through expert interviews, fatal accident case analysis, field analysis, and literature research, we present the standard risk assessment index method of the 4M risk assessment method. Result: As a result of analyzing the risk assessment of eight sites, it was concluded that it cannot make a significant contribution to disaster prevention and should be applied as an improvement measure of the Standard Risk Assessment Index Law. Conclusion: Switching to the standard risk assessment index method at construction sites has been proposed to make it easier for health and safety personnel and workers to use, contributing to the reduction of accidents.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.49 no.4
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• pp.469-482
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• 2013

This study identified problems of the existing ecosystem-based fisheries assessment approach, and suggested new methods for scoring risk and for the estimation of fishery risk index. First, risk scores of zero to two for target and limit reference points for each indicator were replaced by those of zero to three, and the risk scores were calculated from new formulae which were developed in this study. Second, a new method for estimating fishery risk index (FRI) was developed in this study, considering the level of indicators. New method was applied to the Korean large purse seine fishery, large pair trawl fishery and drag net fishery. More precise and detailed risk scores were obtained from the new method, which can explain the risks by the wider range of both risk levels for 'better than target' and 'beyond limit'. The new method for estimating FRI could avoid the basic problem related with duplicated computations of fishery-level indicators, which improved the estimated FRI to be more accurate. Also, a method for estimating variance of FRI using the bootstrap was proposed in this study.

• Journal of the Korean Society of School Health
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• v.25 no.1
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• pp.105-113
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• 2012

Purpose: The purpose of this study was to identify the statistical indicators of OECD and Korea for student health among Korea's approval statistics. Methods: Searching for health indicators by using Health at a Glance 2009, Society at a Glance 2009, and Education at a Glance 2009 through the formal OECD web site in 2010, and investigating the approval statistics through the Korean formal organizational web sites and published data in 2012. Results: Among OECD indicators, indicators for adolescent health were smoking and alcohol consumption, nutrition, physical activity, overweight and obesity, bullying, risk behaviors, and poverty children. However, most of Korea student health indicators were missing except poverty children and life satisfaction, because OECD has taken chiefly data from Health Behavior in School-aged Children survey (HBSC), international study, which has not been carried out in Korea. The Ministry Of Education, Science And Technology (MEST) and the Ministry of Health and Welfare, and National Youth Policy Institute in Korea have produced the major statistics for student health which was only 11 (1.3%) among 858 approval statistics. Conclusion: Identifying a current Korea school health is essential through participating actively to OECD whose statistic indicators are internationally comparable with Students Physical Development Survey, MEST's approval statistics, using Korea Student Health Examination. It was also suggested that quantitative and qualitative expansions for Korea student health statistics by the activation of approval statistics including processed statistics, and by researchers' easy expanded access to a raw data.

• Korean Journal of Child Studies
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• v.33 no.1
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• pp.183-203
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• 2012

While efforts to measure and monitor children's well-being have gained increasing recognition across the OECD, there has been relatively little research on the subject of indicators of children's well-being in Korea. This study was undertaken in order to develop the domains and indicators which can be used to measure the quality of life of Korean children from birth to age 17 and to put forward a possible well-being index for Korean children. The 35 indicators of well-being were grouped into eight domains and were designed for this study, using previous research on key child indicators for Korea and the child well-being index in foreign countries, such as the FCD-Land Index, Kids Count, the index of child well-bing in the European Union and OECD area. These domains are composed of the following : economic well-being, health, education, spiritual/emotional well-being, children's relationships, civic participation, safety/risk behavior, and housing and environment. The establishment of a Korean children's well-being index requires access to and use of national statistical data analyzed annually by the government as well as a general consensus regarding such issues as scope and its indicators.

• Korean Management Science Review
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• v.33 no.3
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• pp.105-117
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• 2016

In this paper, we present empirical testing result to examine the validity of inbound supply and outbound demand risk factors in the sense of early predicting the firm's bankruptcy risk level. The risk factors are drawn from industry uncertainty attributes categorized as uncertainties of input market (inbound supply), and product market (outbound demand). On the basis of input-output table, industry level inbound and outbound sectors are identified to formalize supply chain structures, relevant inbound and outbound uncertainty attributes and corresponding risk factors. Subsequently, publicly available macro-economic indicators are used to appropriately quantify these risk factors. Total 68 industry level bankruptcy risk forecasting results are presented with the average R-square scores of between 53.4% and 37.1% with varying time lag. The findings offers useful insights to incorporate supply chain risk to the body of firm's bankruptcy risk level prediction literature.