• 제목/요약/키워드: NCEP

검색결과 221건 처리시간 0.023초

영양교육이 고콜레스테롤혈증 환자의 식습관 및 혈청 지질 농도에 미치는 영향

  • 김소연;손정민;정우영
    • 대한지역사회영양학회:학술대회논문집
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    • 대한지역사회영양학회 2004년도 춘계학술대회
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    • pp.420-421
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    • 2004
  • 심혈관계 질환은 선진국에서 가장 중요한 사망원인이며, 특히 관상동맥 질환은 심혈관계 질환으로 인한 사망의 50% 이상을 차지하고 있다. 미국에서는 National Cholesterol Education Program(NCEP)을 통해 관상동맥질환의 예방 및 치료를 위한 식생활 지침을 마련하여 꾸준히 시행한 결과, 관상동맥질환으로 인한 사망률을 40% 가량 감소시키는 결과를 가져왔다. 그러나, 우리나라는 최근 10년간 관상동맥질환으로 인한 사망률이 1.8배 증가하는 양상을 보이고 있음에도 불구하고 관상동맥질환 예방을 위한 대국민적인 식생활 개선에 대한 기준이 미비한 실정이다.(중략)

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고지혈증의 원인과 치료 - 고지혈증과 식사요법

  • 장윤정
    • 월간당뇨
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    • 통권285호
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    • pp.30-34
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    • 2013
  • 고지혈증의 치료를 위해서는 올바른 식사와 생활습관의 수정이 필요하다. 미국 당뇨병학회(American Diabetics Association, ADA)는 당뇨병환자의 고질혈증의 치료를 위해 생활습관 조정, 신체 활동 증가, 체중 감소, 금연과 함께 개인별 상황을 고려한 영양적 중재를 권하고 있고, 국립 콜레스테롤 교육 프로그램(National Cholesterol Education Program, NCEP)에서 제정한 고지혈증 치료지침서(Adult Treatment Panel III, ATP III)에서는 비약물 요법의 중요성을 강조하면서 식사요법 및 생활습관의 개선(therapeutic lifestyle change, TLC)으로 고지혈증의 치료를 시작하여 6주 이상 실시한 후에 효과가 없을 때는 약물치료를 하도록 권하고 있다. 따라서 고지혈증 개선을 위해 바람직한 식사 원칙에 대하여 자세히 알아보고자 한다.

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파랑 변화에 따른 동해안 맹방 해수욕장 연안 표사수지 파악 (Evaluation of Coastal Sediment Budget on East Coast Maeongbang Beach by Wave Changes)

  • 김권수;유하상;김상훈
    • 한국해양공학회지
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    • 제33권6호
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    • pp.564-572
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    • 2019
  • Numerical simulation of the sediment by the Delft3d model was conducted to examine the changes in the sediment budget transport caused by long-term wave changes at the Maengbang beach. Representative waves were generated with input reduction tools using NOAA NCEP wave data for about 40 years, i.e., from January 1979 to May 2019. To determine the adequacy of the model, wave and depth changes were compared and verified using wave and depth data observed for about 23 months beginning in March 2017. As a result of the error analysis, the bias was 0.05 and the root mean square error was 0.23, which indicated that the numerical wave results were satisfactory. Also, the observed change in depth and numerical result were similar. In addition, to examine the effect due to long-term changes in the waves, the NOAA wave data classified into each of the representative wave grades, and then the annual trend of the representative wave was analyzed. After deciding the weight of each wave class considering the changed wave environment in 2100, the amounts of sedimentation, deposition, and the sediment transport budget were reviewed for the same period. The results indicated that the sedimentation pattern did not change significantly compared to the current state, and the amount of the local sediment budget shown in the present state was slightly less. And there has been a local increase in the number of sediment budget transport, but there is no significant difference in the net and amount of sediment movements.

재분석자료들을 이용한 최근 35년(1979~2013) 동북아시아 상층제트의 변동특성 (Characteristic Variations of Upper Jet Stream over North-East Asian Region during the Recent 35 Years (1979~2013) Based on Four Reanalysis Datasets)

  • 소은미;서명석
    • 대기
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    • 제25권2호
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    • pp.235-248
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    • 2015
  • In this study, we analyzed the three dimensional variations (latitude, longitude, and height of Jet core) and wind speed of upper Jet stream in the East Asian region using recent 35 years (1979~2013) of four reanalysis data (NCEP-R2, MERRA, ERA-Interim. and JRA-55). Most of Jet core is located in $30.0{\sim}37.5^{\circ}N$ and $13.0{\sim}157.5^{\circ}E$ although there are slight differences among the four reanalysis data. The wind speed differences among reanalysis are about $3m\;s^{-1}$ regardless of seasons, the weakest in NCEP-R2 and the strongest in JRA-55. Although significance level is not high, most of reanalysis showed that the Jet core has a tendency of southward moving during spring and winter, but moving northward during summer and fall. This amplified seasonal variation of Jet core suggests that seasonal variations of weather/climate can be increased in the East Asian region. The longitude of Jet core has a tendency of systematically westward moving and decreasing of zonal variations regardless of averaging methods and reanalysis data. In general, the Jet core shows a tendency of moving south-west-ward and upward, getting intensified during spring and winter regardless of the reanalysis data. However, the Jet core shows a tendency of moving westward and downward, and getting weakened during summer. In fall, there were no distinctive trends not only in wind speed but also three dimensional locations compared to other seasons. Although the significance levels are not high and variation patterns are slightly different according to the reanalysis data, our findings are more or less different from the previous results. So, more works are needed to clarify the three dimensional variation patterns of Jet core over the East Asian region as a result of global warming.

VARIABILITY OF THE LATENT HEAT FLUX DURING 1988-2005

  • Iwasaki, Shinsuke;Kubota, Masahisa
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
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    • pp.289-292
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    • 2008
  • Recently, several satellite data analyses projects and numerical weather prediction (NWP) reanalysis projects have produced the ocean surface Latent Heat Flux (LHF) data sets in the global coverage. Comparisons of these LHF data sets showed substantial discrepancies in the LHF values. Recently, the increase of LHF in during 1970s-1990s over the global ocean is shown by the LHF data that have been developed at the Objective Analyzed Air-Sea Fluxes (OAFlux) project. It is interesting to investigate the existence of the increase of LHF over a global ocean in the other LHF products. It is interesting to investigate the existence of the increase of LHF over a global ocean in the other LHF products. In this study, we assessed the consistencies and discrepancies of the inter-annual variability and decadal trend for the period 1988-2005 among six LHF products ((J-OFURO2, HOAPS3, IFREMER, NCEP1,2 and OAFlux) over the global ocean. As results, all LHF products showed a positive trend. In particular, the positive trend in satellite-based data analyses (J-OFURO2, HOAPS3, IFREMER) is larger than that in reanalysis products (NCEP1/2). Also, the consistencies and discrepancies are shown on the spatial patterns of the LHF trends across the six data sets. The positive trend of LHF is remarkable in the regions of western boundary currents such as the Kuroshio and the Gulf Stream in all LHF data sets. But, the discrepancies are shown on the spatial patterns of the LHF trends in tropics and subtropics. These discrepancies are primarily caused by the differences of the input meteorological state variables, particularly for the air specific humidity, used to calculate LHF.

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20세기 재분석 자료(20CR)를 이용한 남극대륙의 기온 변화 (Change of Temperature using the Twentieth Century Reanalysis Data (20CR) on Antarctica)

  • 조일성;지준범;이규태;채남이;윤영준
    • Ocean and Polar Research
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    • 제34권1호
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    • pp.73-83
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    • 2012
  • Antarctica is very sensitive to climate change but the number of stations is not sufficient to accurately analyze climate change in this regoin. Model reanalysis data supplements the lack of observation and can be used as long term data to verify climate change. In this study, the 20CR (Twentieth Century Reanalysis) Project data from NCEP/NCAR and monthly mean data (temperature, solar radiation and longwave radiation) from 1871 to 2008, was used to analyze the temperature trend and change in radiation. The 20CR data was used to validate the observation data from Antarctica since 1950 and the correlation coefficients between these data were determined to be over 0.95 at all stations. The temperature increased by approximately $0.23^{\circ}C$/decade during the study period and over $0.20^{\circ}C$/decade over all of the months. This increasing trend was observed throughout the Antarctica and a slight increase was observed in the Antarctic Peninsula. In addition, solar radiation (surface) and longwave radiation (surface and top of atmosphere) trends correlated with the increase in temperature. As a result, outgoing longwave radiation at the surface is attenuated by atmospheric water vapor or clouds and radiation at the top of the atmosphere was reduced. In addition, the absorbed energy in the atmosphere increases the temperature of the atmosphere and surface, and then the heated surface emits more longwave radiation. Eventually these processes are repeated in a positive feedback loop, which results in a continuous rise in temperature.

수위변화와 흐름효과를 고려한 파랑모델링 (Wave Modeling considering Water Level Changes and Currents Effects)

  • 엄호식;강태순;남수용;정원무
    • 한국해안·해양공학회논문집
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    • 제28권6호
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    • pp.383-396
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    • 2016
  • 본 연구에서는 파랑과 흐름이 공존하는 해역에서 수위변화 및 흐름효과 고려 유무에 대하여 파랑모델을 수행하여 그 결과를 비교하였다. 해수유동장은 RIAMOM 모델 결과를 적용하였으며 파랑모델은 SWAN모델을 적용하였다. 바람자료는 ECMWF, NCEP 및 JMA의 3가지에 대하여 관측자료를 비교적 잘 재현하는 JMA 자료를 적용하였다. 수치모의는 2016년 1월~8월까지 8개월간 수행하였으며, 각 경우에 대하여 관측자료와의 비교를 위하여 2.5 m이상의 고파랑 기간에 대해 파고변화를 검토하였다. 분석결과, 수심이 깊은 파랑관측부이 정점에서는 수위/흐름효과를 고려할 경우 파고변화가 크지 않게 나타났으나, 수심이 얕은 비교 정점에서는 수위/흐름효과의 고려 여부에 따라 5~10%의 유의미한 파고변화가 나타났다.

한국 비만성인의 대사증후군 유병에 따른 내장지방지수와 인슐린저항성, 췌장 베타세포기능과의 관련성 (Relationship between Visceral Adiposity Index, Insulin Resistance and Pancreatic Beta Cell Function According to the Prevalence of Metabolic Syndrome in Korean Obese Adults)

  • 신경아
    • 한국융합학회논문지
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    • 제11권9호
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    • pp.267-276
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    • 2020
  • 본 연구는 비만성인을 대상으로 대사증후군 유병에 따라 VAI와 인슐린저항성, 췌장 베타세포기능과의 관련성을 알아보고자 하였다. 2017년 1월부터 2019년 12월까지 분당지역 일개 종합병원에서 건강검진을 받은 만 19세 이상 비만성인 1,797명을 대상으로 분석하였다. 대사증후군은 NCEP-ATP III의 기준에 근거하였다. 인슐린저항성 및 췌장 베타세포기능은 HOMA 지수를 이용하였다. 대조군보다 대사증후군 진단군에서 VAI가 높았으며, 대사증후군 위험요인 개수가 증가할수록 높은 VAI값을 보였다(각각 p<.001). 또한 VAI 사분위수가 증가함에 따라 대사증후군 유병률이 증가하였다(p<.001). VAI는 대조군에서 HOMA-IR 및 HOMA-β와 관련이 있는 것으로 나타났으나, 대사증후군 진단군에서는 HOMA-IR 및 HOMA-β간에 관련이 없었다.

HadCRU4 관측 온도자료와 20CR 재분석 자료 비교로부터 확인된 1900년대 초반 극지역 평균 온도 추정의 불확실성 (Uncertainty in the Estimation of Arctic Surface Temperature during Early 1900s Revealed by the Comparison between HadCRU4 and 20CR Reanalysis)

  • 김백민;김진영
    • 한국기후변화학회지
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    • 제6권2호
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    • pp.95-104
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    • 2015
  • To discuss whether we have credible estimations about historical surface temperature evolution since industrial revolution or not, present study investigates consistencies and differences of averaged surface air temperature since 1900 between the multiple data sources: Hadley Center Climate Research Unit (HadCRU4) surface air temperature data, ECMWF 20 Century Reanalysis data (ERA20CR), and NCEP 20 Century Reanalysis data (NCEP20CR). Averaged surface temperatures are obtained for the global, polar (90S~60S, 60N~0N), midlatitude (60S~30S, 30N~60N), tropical (30S~30N) region, separately. From the analysis, we show that: 1) spatio-temporal inhomogenity and scarcity of HadCRU4 data are not major obstacles in the reliable estimation of global surface air temperature. 2) Globally averaged temperature variability is largely contributed by those of tropical and midlatitude, which occupy more than 70% of earth surface in area. 3) Both data show consistent temperature variability in tropical region. 4) ERA20CR does not capture warm period over Arctic region in early 1900s, which is obvious feature in HadCRU4 data. Discrepancies among datasets suggest that high-level caution is needed especially in the interpretation of large Arctic warming in the early 1900s, which is often regarded as a natural variability in the Arctic region.

겉보기 열원 및 습기 흡원의 세 재분석 자료 비교와 몬순 지역별 분석 (Three Reanalysis Data Comparison and Monsoon Regional Analysis of Apparent Heat Source and Moisture Sink)

  • 하경자;김서경;오효은;문수연
    • 대기
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    • 제28권4호
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    • pp.415-425
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    • 2018
  • The roles of atmospheric heating formation and distribution on the global circulation are of utmost importance, and those are directly related to not only spatial but also temporal characteristics of monsoon system. In this study, before we clarify the characteristics of apparent heat source <$Q_1$> and moisture sink <$Q_2$>, comparisons of three reanalysis datasets (NCEP2, ERA-Interim, and JRA-55) in its global or regional patterns are performed to clearly evaluate differences among datasets. Considering inter-hemispheric difference of global monsoon regions, seasonal means of June-July-August and December-January-February, which is summer (winter) and winter (summer) in the Northern (Southern) Hemisphere are employed respectively. Here we show the characteristics of eight different regional monsoon regions and find contributions of <$Q_2$> to <$Q_1$> for the regional monsoon regions. Each term in apparent heat source and moisture sink is shown to come from the ERA-Interim dataset, since the ERA-Interim could be representative of three datasets. The NCEP2 data has a different characteristic in the ratio of <$Q_2$> and <$Q_1$> because it overestimates <$Q_1$> compared to the other two different datasets. The Australia monsoon has been performing better over time, while some regional monsoons (South America, North America, and North Africa) have been showing increasing data inconsistency. In addition, the three reanalysis datasets are getting different marching with time, in particular since the early 2000s over South America, North America, and North Africa monsoon regions. The recent inconsistency among the three datasets that may be associated with the global warming hiatus remains unexplored.