• 대한지역사회영양학회지
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• 제25권2호
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• pp.150-158
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• 2020

Objectives: This study was conducted to estimate usual meat intake distribution, which may have been over/underestimated when estimations were made using only the third food codes of the Korea National Health and Nutrition Examination Survey (KNHANES). Methods: For this purpose, 24-hour recall data from the 2009 Korea National Health and Nutrition Examination Survey, which conducted a partial 2-day survey of food intake, were used. The Multiple Source Method (MSM) was used to estimate the distribution of the usual intake of red and processed meats. Results: The results of this study show that the mean intake of red meat was 45.07 g while that of processed meat was 4.33 g. These results are slightly higher than the consumption calculated using only tertiary food code, and the difference was statistically significant. Furthermore, characteristics of the estimated usual intake distribution were a smaller standard deviation, increased lower percentiles, and decreased upper percentiles compared to the 2-day mean intake distribution for both red and processed meats. The proportion of individuals not consuming red meat decreased substantially from approximately 37% to 0.7%. The proportion of consumption that exceeded 90 g, which is the upper limit of red meat intake recommended by the National Health Service (NHS), was only approximately 10% in the distribution of usual intake. Conclusions: As the consumption of processed foods is expected to continuously increase, caution is needed regarding the processes used to calculate food (group) intake to avoid over/underestimation. Moreover, use of KNHANES data to calculate the proportion of the population at risk of insufficiency or excess intake of certain nutrients or food (group), based on one day intake that does not address within-individual variation, may lead to biased estimates.

• Nutrition Research and Practice
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• 제8권2호
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• pp.213-219
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• 2014

BACKGROUND/OBJECTIVES: There is little information on the association between weight misperception and eating behavior in Korean adolescents. Therefore, we investigated the association of food intake habits and dieting method and disturbed eating behavior (DEB) in relation to weight misperception. SUBJECTS/METHODS: Data was collected by using a nationwide online panel survey from 6,943 adolescents enrolled in middle/high school. DEB was measured with the Eating Attitudes Test (EAT-26) and those who scored ${\geq}20$ on the EAT-26 were considered to have eating disorder. Logistic regressions were conducted to examine the association between weight misperception based on self-reported weight status and dieting method and eating behaviors. RESULTS: The proportion of weight underestimation was 23.5% and that of overestimation was 24.0%. Weight overestimating girls were more likely to engage in various unhealthy dieting practices (OR = 1.69 for fasting; OR = 1.88 for laxative or diuretic use; OR = 2.05 for self-induced vomiting after meals; P < 0.05). Moreover, there was a strong association between overestimation and undesirable eating behaviors, especially among girls, e.g.: having breakfast (OR = 0.85), high consumption of fast foods (OR = 1.28) and regular sodas (OR = 1.39), but not among boys. In both genders, weight overestimation appears to be a major risk factor for DEB (OR = 1.34 for boys and OR = 1.41 for girls; P < 0.05). CONSLUSIONS: Weight overestimation is associated with unhealthy weight control practices and eating behaviors. We particularly found a significant association between weight overestimation and DEB among nationwide Korean adolescents.

• 한국의학물리학회:학술대회논문집
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• 한국의학물리학회 2002년도 Proceedings
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• pp.267-268
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• 2002

Microbeam is a new avenue of radiation research especially in radiation biology and radiation protection. Selective irradiation of an ionizing particle to a targeted cell organelle may disclose such mechanisms as signal transaction among cell organelles and cell-to-cell communication in the processes toward an endpoint observed. Bystander effect, existence of which is clearly evidenced by application of the particle microbeam to biological experiments, suggests potential underestimation in the conventional risk estimation at low particle fluence rates, such as environment of space radiations in ISS (International Space Station). To promote these studies we started the construction of our microbeam facility (named as SPICE) to our HVEE Tandem accelerator (3.4 MeV proton and 5.1 MeV $^4$He$\^$2+/). For our primary goal, "irradiation of single particle to cell organelle within a position resolution of 2 micrometer in a reasonable irradiation time", special features are considered. Usage of a triplet Q magnet for focussing the beam to submicron of size is an outstanding feature compared to facilities of other institutes. Followings are other features: precise position control of cell dish holder, design of the cell dish, data acquisition of microscopic image of a cell organelle (cell nucleus) and data processing, a reliable particle detection, soft and hard wares to integrate all these related data, to control and irradiate exactly determined number of particles to a targeted spot.

• 한국연안방재학회지
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• 제4권3호
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• pp.119-131
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• 2017

Global warming under the influence of climate change and its direct impact on glacial and sea level are known issue. However, there is a lack of research on an indirect impact of climate change such as coastal structure design which is mainly based on a frequency analysis of water level under the stationary assumption, meaning that maximum sea level will not vary significantly over time. In general, stationary assumption does not hold and may not be valid under a changing climate. Therefore, this study aims to develop a novel approach to explore possible distributional changes in annual maximum sea levels (AMSLs) and provide the estimate of design water level for coastal structures using a multiple non-crossing quantile regression based nonstationary frequency analysis within a Bayesian framework. In this study, 20 tide gauge stations, where more than 30 years of hourly records are available, are considered. First, the possible distributional changes in the AMSLs are explored, focusing on the change in the scale and location parameter of the probability distributions. The most of the AMSLs are found to be upward-convergent/divergent pattern in the distribution, and the significance test on distributional changes is then performed. In this study, we confirm that a stationary assumption under the current climate characteristic may lead to underestimation of the design sea level, which results in increase in the failure risk in coastal structures. A detailed discussion on the role of the distribution changes for design water level is provided.

• 한국산학기술학회논문지
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• 제16권8호
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• pp.5492-5500
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• 2015

LDL-콜레스테롤(LDL-C)은 심뇌혈관질환의 주된 교정 가능한 위험인자로서, 정확한 측정값을 임상에 적용하는 것이 중요하다. 하지만 LDL-C의 측정은 실제 측정이 아닌 Friedewald 공식에 의한 계산방법이 널리 이용되고 있다. 본 연구의 목적은 LDL-C의 Friedewald-추정값과 실측값을 비교하고, 두 방법의 LDL-C 위험수준 분류 일치도를 평가하는 것이다. 표본은 국민건강영양조사 2개년(2009년과 2010년)의 공개된 자료에서 추출되었고, 혈액 검사에서 총 콜레스테롤, HDL-콜레스테롤, 직접 측정한 LDL-C, 그리고 중성지방 중 어느 한 결측치도 없는 4,319명을 연구대상으로 하였다. 중성지방 400 mg/dL 미만일 때, Friedewald-추정값과 실측값은 높은 상관관계를 보였고 (r = 0.958, p < 0.001), 위험수준 분류 일치 백분율은 82.7%이었다. 중성지방 수준이 높을수록, 일치 백분율은 낮았다. 중성지방 수준 150 mg/dL 미만, 150-200 mg/dL, 그리고 200-399 mg/dL일 때, 일치 백분율은 각각 85.4%, 78.2%, 그리고 71.4%이었다. Friedewald 공식은 중성지방 농도 150 mg/dL 미만에서는 LDL-C를 과대평가하는 반면, 중성지방 농도 150 mg/dL 이상에서는 과소평가하는 경향이 있었다. 이에 따라 LDL-C 위험수준 분류에 있어 그 범주가 과대평가된 사람은 382명 (9.1%)인 반면, 과소평가된 사람은 348명 (8.3%)이었다. 이러한 결과는 Friedewald-추정값의 LDL-C 과소평가뿐만 아니라, 과대평가도 심각한 문제일 수 있음을 제시한다.

• Asian Pacific Journal of Cancer Prevention
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• 제15권11호
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• pp.4717-4721
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• 2014

Background: Dosimetric comparison of two dimensional (2D) radiography and three-dimensional computed tomography (3D-CT) based dose distributions with high-dose-rate (HDR) intracavitry radiotherapy (ICRT) for carcinoma cervix, in terms of target coverage and doses to bladder and rectum. Materials and Methods: Sixty four sessions of HDR ICRT were performed in 22 patients. External beam radiotherapy to pelvis at a dose of 50 Gray in 27 fractions followed by HDR ICRT, 21 Grays to point A in 3 sessions, one week apart was planned. All patients underwent 2D-orthogonal and 3D-CT simulation for each session. Treatment plans were generated using 2D-orthogonal images and dose prescription was made at point A. 3D plans were generated using 3D-CT images after delineating target volume and organs at risk. Comparative evaluation of 2D and 3D treatment planning was made for each session in terms of target coverage (dose received by 90%, 95% and 100% of the target volume: D90, D95 and D100 respectively) and doses to bladder and rectum: ICRU-38 bladder and rectum point dose in 2D planning and dose to 0.1cc, 1cc, 2cc, 5cc, and 10cc of bladder and rectum in 3D planning. Results: Mean doses received by 100% and 90% of the target volume were $4.24{\pm}0.63$ and $4.9{\pm}0.56$ Gy respectively. Doses received by 0.1cc, 1cc and 2cc volume of bladder were $2.88{\pm}0.72$, $2.5{\pm}0.65$ and $2.2{\pm}0.57$ times more than the ICRU bladder reference point. Similarly, doses received by 0.1cc, 1cc and 2cc of rectum were $1.80{\pm}0.5$, $1.48{\pm}0.41$ and $1.35{\pm}0.37$ times higher than ICRU rectal reference point. Conclusions: Dosimetric comparative evaluation of 2D and 3D CT based treatment planning for the same brachytherapy session demonstrates underestimation of OAR doses and overestimation of target coverage in 2D treatment planning.

• 대한지리학회지
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• 제41권1호
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• pp.106-120
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• 2006

자연재해 및 인위적 재해는 지리학에서 인문지리와 자연지리를 통합할 수 있는 주제로 기대되고 있으나 실제로 지리정보를 이용한 분석방법에 대한 연구와 시스템이 개발된 사례는 많지 않다. 태풍 루사와 매미가 국내 개인 및 국가에 입힌 손실만큼 손보사에게 끼친 손실이 막대하여, 보다 과학적이고 합리적인 자연재해 피해액에 대한 추정과 재보험 가격산정을 위한 시나리오 구성이 요구되었다. 태풍을 사례로 한 본 연구에서는 태풍경로에 따른 풍속예측모델을 적용하기 위하여 전국단위의 필요한 지리정보를 구축하였다. 1: 5,000 수치 지도를 기본지도로 사용하였으며, 기상자료 및 계약물건의 소재지에 대한 주소자료를 점형 자료로 구축하였으며, 과거 관측된 태풍의 주요 기압의 변화 값을 속성으로 하여 경위도 좌표로 선형 자료로 구축하였으며, 토지피복도는 풍속의 정확도를 높이기 위한 자료로 모델의 변수 조정에 사용하였다. 모든 자료를 전국을 1km 간격의 격자형자료로 변형하여 중첩할 수 있고, 태풍 풍속모델과 격자별 피해가능정도를 구할 수 있도록 하였다. 풍속에 대한모델의 정확도는 실제 기상측정지점의 측정값과 비교하여 검증과정을 거쳤으며(전체 평균 $R^2=0.68$), 변이가 큰 기상측정지점 변화를 준 보정과정을 통해 예측시스템의 정확도를 향상시켰다. 풍속에 따른 피해율을 적용한 피해민감도곡선을 주거지역, 공업지역, 기타지역으로 나누어 적용하고 실제 손해배상액과 비교해 본 결과, 과대평가된 부분과 과소평가된 부분을 동시에 관찰할 수 있었다 본 연구와 시스템 구축으로 민간보험사는 재보험 요율에 근거자료를 보유할 수 있을 뿐더러 유사 재해 시 대응할 수 있는 시나리오를 작동함으로 자원의 배분계획을 수립할 수 있고 대외적 신인도를 제고할 수 있을 것으로 예측된다. 향후 하천범람모형 및 태풍과 지진으로 인한 해일 모형, 내수 침수모형을 추가하여 종합적인 재해모형으로 완성할 예정이다.