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고기능 자폐스펙트럼장애 자녀를 둔 어머니의 양육스트레스와 우울과의 관계
조혜민,이성봉 국립특수교육원 2021 특수교육연구 Vol.28 No.2
The purpose of this study was to analyze parenting stress and depression of mothers of children with high functioning autism spectrum disorders. The subjects were 68 mothers raising children aged 6 to 12 years old. To evaluate the parenting stress and depression of mothers, the short form of the parental parenting stress test (K-PSI-SF) and the depression scale (CES-D) were used. As a result of the study, first, mothers had higher levels of parenting stress and depression. Second, there was a difference between groups in parenting stress in the age and level of social difficulty of children, but there was no statistically significant difference in depression between groups. Third, there was a statistically significant positive correlation between mothers' parenting stress and depression. Based on these findings, discussions, and suggestions for future study.
조혜민,김현창,강대룡,오순민,김병극,서일 연세대학교의과대학 2015 Yonsei medical journal Vol.56 No.4
Purpose: Although inconsistent, reports have shown fibrinogen levels to be associatedwith atherosclerosis. Accordingly, since cigarette smoking is associated with increased levels of fibrinogen and atherosclerosis, it may also affect the association between fibrinogen and atherosclerosis. We investigated the associations between fibrinogen and carotid intima-media thickness (IMT) according to smoking status in a Korean male population. Materials and Methods: Plasma fibrinogen levels were measured in 277 men aged 40‒87 years without a history of myocardial infarctionor stroke. High-resolution B-mode ultrasonography was used to examine the common carotid arteries. IMT level was analyzed both as a continuous (IMT-max, maximum value; IMT-tpm, 3-point mean value) and categorical variable (higher IMT; presence of plaque). Serial linear and logistic regression models were employed to examine the association between fibrinogen and IMT according to smoking status. Results: Fibrinogen levels were positively associated with IMT-max (standardized β=0.25, p=0.021) and IMT-tpm (standardized β=0.21, p=0.038), even after adjusting for age, body mass index, systolic blood pressure, fasting glucose,and total cholesterol to high-density lipoprotein cholesterol ratio in current smokers (n=75). No significant association between fibrinogen and IMT, however, was noted in former smokers (n=80) or nonsmokers (n=122). Adjusted odds ratios (95% confidence interval) for having plaque per one standard deviation higher fibrinogenlevel were 2.06 (1.09‒3.89) for current smokers, 0.68 (0.43‒1.10) for formersmokers, and 1.06 (0.60‒1.87) for nonsmokers. Conclusion: Our findings suggestthat cigarette smoking may modify the association between fibrinogen and carotid atherosclerosis. Further studies are required to confirm this finding in differentpopulations.
조혜민,오승언,여인권,Cho, Hye-Min,Oh, Sung-Un,Yeo, In-Kwon 한국통계학회 2007 응용통계연구 Vol.20 No.3
시계열자료를 분석하는데 있어 중요한 목적 중에 하나가 미래값에 대한 예측이다. 일반적으로 자기회귀이동평균모형에서는 백색잡음이 정규분포를 따른다는 가정 하에서 모수의 추론과 예측 및 예측구간의 추정이 이루어지고 있다. 그러나 자료가 이러한 가정을 만족하지 않는 경우, 자료를 가정에 맞게 변환시킨 후 분석하는 방법을 생각해 볼 수 있다. 이 논문에서는 변환된 자료를 분석하여 얻은 결과를 이용하여 본래의 척도에서의 미래값에 대한 예측구간을 추정하는 문제에 대해 알아본다. 제안하는 방법에서는 먼저 적절한 변환을 이용하여 자료를 정규가정을 만족하도록 변환시키고 변환된 자료를 이용하여 미래값에 대한 예측구간을 추정한 후, 역변환을 이용하여 예측구간을 추정한다. 이 논문에서는 시계열분석에서 모델링이 상대적으로 어려운 왜도의 문제를 해결하기 위해 Yeo-Johnson 변환을 중심으로 한 방법론을 소개한다. 모의실험 결과 제안된 방법에 의한 단측예측구간의 포함확률이 변환을 사용하지 않은 구간보다 명목수준에 가까운 것을 확인하였다. One of main aspects of time series analysis is to forecast future values of series based on values up to a given time. The prediction interval for future values is usually obtained under the normality assumption. When the assumption is seriously violated, a transformation of data may permit the valid use of the normal theory. We investigate the prediction problem for future values in the original scale when transformations are applied in ARMA models. In this paper, we introduce the methodology based on Yeo-Johnson transformation to solve the problem of skewed data whose modelling is relatively difficult in the analysis of time series. Simulation studies show that the coverage probabilities of proposed intervals are closer to the nominal level than those of usual intervals.