• 생물정신의학
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• 제17권2호
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• pp.70-78
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• 2010

Objectives : This study investigated the differences of working memory among the subtypes of ADHD. Methods : Eighty-one children and adolescents with ADHD and thirty normal controls were recruited. Children with any cognitive disorders and low intelligence were excluded. In order to evaluate the verbal and visuospatial working memory, Digit span and Finger windows tasks were measured, respectively. Performances on these measures between children with ADHD and controls were compared. Further, performances among the groups of ADHD predominantly inattentive(ADHD-IA)(n=40), predominantly hyperactive-impulsive(ADHD-HI)(n= 10), and combined type(ADHD-C)(n=31), were compared. Results : Scores of Finger windows forward task were lower in the ADHD group as compared to the control group, whereas, the Digit span forward showed no difference. Both scores of Digit span backward and Finger windows backward task were lower in the ADHD group than the controls. Children with ADHD-IA performed poorer than children with ADHD-C on the Finger windows backward task. Conclusion : The results of this study showed that children with ADHD have deficits in spatial short-term memory and verbal and visuospatial working memory when compared to normal children. The deficits were evident in children with ADHD-IA subtype and in particular, performance on the visuospatial working memory task in this group was poorer than the ADHD-C group.

• 한국조리학회지
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• 제21권5호
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• pp.109-118
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• 2015

본 연구의 목적은 Ajzen(1991)의 계획된 행동이론을 바탕으로 로컬 푸드를 구매와 관련한 기초적인 인지적 근거를 조사하는 것이다. 개방형 문항으로 이루어진 온라인 설문조사를 통해서 163명의 응답자로부터 자료를 수집하였으며, 수집된 로컬 푸드 구매와 관련한 소비자의 핵심적인 행동적 신념, 규범적 신념, 통제적 신념에 대한 자료를 분석하고 평가했다. 응답자들의 가장 핵심적인 행동적 신념은 지역경제 발전에 이바지함으로 나타났으며, 뒤를 이어 신선함, 식품의 원산지와 취급과정에 대한 지식, 환경혜택, 건강혜택으로 나타났다. 규범적 신념으로는 지역 사업가, 지역 농부, 가족, 지역민, 친구의 순으로 로컬 푸드 구매를 지지하는 것으로 나타났다. 반면, 로컬 푸드 구매와 관련한 장애물로는 불편한 로컬푸드 상점의 위치와 영업시간, 높은 가격, 상품의 제한성과 다양성, 구매처에 대한 제한된 지식등이 주로 거론되었다.

• 지역사회간호학회지
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• 제29권2호
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• pp.170-183
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• 2018

Purpose: Although innovative interventions using technologies have been introduced in long-term care settings, available evidence is still anecdotal. The purpose of this study is to investigate and synthesize the outcomes of interventions using technologies delivered to nursing home residents. Methods: Published clinical trials were identified through PubMed, CINHAL, Cochrane and PsycINFO databases and manually hand-searching. Eligible studies were articles published between 1997-2016 in English or Korean with a randomized controlled trial or quasi-experimental design in which interventions using technologies were delivered to nursing home residents. Results: A total of 20 studies were selected for this review. Types of interventions using technologies were classified into the electronic documentation technology (n=1), the clinical decision support system (n=1), the safety technology (n=1), the health and wellness technology (n=10), and the social connectedness technology (n=7). Overall resident outcomes indicated that interventions using technologies improved behavioral symptoms and psycho-social outcomes, but mixed results were shown in the aspects of physical function, cognitive function, social relationship and quality of service. Conclusion: This review demonstrates that incorporating technologies into nursing home care have positive effects on residents' psycho-social outcomes and behavioral symptoms. To disseminate the effectiveness of interventions using technologies, further research is needed to determine what mechanisms underlying such relationships exist.

• Journal of Preventive Medicine and Public Health
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• 제45권4호
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• pp.219-226
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• 2012

Objectives: To evaluate the risk of fractures related with zolpidem in elderly insomnia patients. Methods: Health claims data on the entire South Korean elderly population from January 2005 to June 2006 were extracted from the Health Insurance Review and Assessment Service database. We applied a case-crossover design. Cases were defined as insomnia patients who had a fracture diagnosis. We set the hazard period of 1 day length prior to the fracture date and four control periods of the same length at 5, 10, 15, and 20 weeks prior to the fracture date. Time independent confounding factors such as age, gender, lifestyle, cognitive function level, mobility, socioeconomic status, residential environment, and comorbidity could be controlled using the case-crossover design. Time dependent confounding factors, especially co-medication of patients during the study period, were adjusted by conditional logistic regression analysis. The odds ratios and their 95% confidence intervals (CIs) were estimated for the risk of fracture related to zolpidem. Results: One thousand five hundred and eight cases of fracture were detected in insomnia patients during the study period. In our data, the use of zolpidem increased the risk of fracture significantly (adjusted odds ratio [aOR], 1.72; 95% CI, 1.37 to 2.16). However, the association between benzodiazepine hypnotics and the risk of fracture was not statistically significant (aOR, 1.00; 95% CI, 0.83 to 1.21). Likewise, the results were not statistically significant in stratified analysis with each benzodiazepine generic subgroup. Conclusions: Zolpidem could increase the risk of fracture in elderly insomnia patients. Therefore zolpidem should be prescribed carefully and the elderly should be provided with sufficient patient education.

• Journal of Ginseng Research
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• 제18권1호
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• pp.32-38
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• 1994

Male rats aged 15 months, which had been over-trained with 12 arm radial maze up to the criterion of 1 or 2 errors an average per trial, were divided into two groups and 7 months after the over-training and were studied the effect of red ginseng trial saponin fraction (PT) on the spatial memory function. The rats which could be improved the performance of 9.75$\pm$1.26 (within 185$\pm$8.2 1 sec) were classified into "normal group" (n=4) and the ones, which showed R-maze performance of 7.0$\pm$2.87 within 300 sec, "deteriorated memory group" (n=5). PT was dissolved in distilled water and injected into the deteriorated memory group intraperitoneally at 30 min before R-maze for 3 consecutive days. The injected amount of PT on the 1st day was 10mg/rat, 1mg/rat both on the 2nd the 3rd day. As results, the performance was restored to 9.4$\pm$2.0 after stopping ginseng administration, although the lower performance values (1.4$\pm$0.89, 2.8$\pm$0.83, 3.8$\pm$0.84, respectively) were exerted during the three days of PT administration than before PT administration (7.0$\pm$2.87) since 1 day after administratitan of PT. The restored performance values were continuously maintained up to the level of the "normal group". However, any lower performance values were not observed when PT was administered via intraperitoneal route to the normal group in about of 2 mg/rat except 10mg1ra1. The number of errors when the foods in arms were put at only 6 places was clearly reduced during the 9 days of consecutive administration of PT as compared with untreated control. These results indicated that PT administration may enhance their cognitive function after a long lapse of time not only in the memory deteriorated rats but also in normal ones. The reason exerted lower performance values during PT administration in this paper was discussed as compared with the results of T-maze behavior of another 3-month-aged rats. of another 3-month-aged rats.

• 융합정보논문지
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• 제8권4호
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• pp.55-62
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• 2018

본 연구는 10회의 전학급동료교수학습이 간호대학생의 학업성취와 셀프리더십 및 대인관계능력에 미치는 효과 확인을 위한 원시실험연구로, 수집된 자료를 SPSS/WIN 19.0으로 Mann-Whitney U와 Kruskal-Wallis 검정 결과, 변수의 평균 순위값의 영향요인은 입학동기였다. Wilcoxon Signed Ranked Test 결과, 실험처치 전후 전학급동료교수학습은 학업성취에 유의한 효과가 있었고(p<.001), 셀프리더십의 하위영역 중 인지적 전략과, 대인관계능력의 하위영역 중 관계촉진의 평균순위값에 유의한 차이가 있는 것으로 나타났으며(p=.020; p=.040), 셀프리더십과 대인관계능력 간 양의 상관관계가 있었다(r=.296, p=.041). 본 연구 결과 전학급동료교수학습은 간호대학생들의 학업성취도를 향상시켰고, 셀프리더십과 대인관계능력에 효과가 있는 중재로 볼 수 있으나, 대상자 수를 확대하고, 대조군을 설정한 유사실험연구로 실험결과를 재확인하는 연구를 제언한다.

• 한국멀티미디어학회논문지
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• 제22권10호
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• pp.1168-1177
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• 2019

In order to diagnose and prevent Alzheimer's Disease (AD), it is becoming increasingly important to develop a CAD(Computer-aided Diagnosis) system for AD diagnosis, which provides effective treatment for patients by analyzing 3D MRI images. It is essential to apply powerful deep learning algorithms in order to automatically classify stages of Alzheimer's Disease and to develop a Alzheimer's Disease support diagnosis system that has the function of detecting hippocampus and CSF(Cerebrospinal fluid) which are important biomarkers in diagnosis of Alzheimer's Disease. In this paper, for AD diagnosis, we classify a given MRI data into three categories of AD, mild cognitive impairment, and normal control according by applying 3D brain MRI image to the Faster R-CNN model and detect hippocampus and CSF in MRI image. To do this, we use the 2D MRI slice images extracted from the 3D MRI data of the Faster R-CNN, and perform the widely used majority voting algorithm on the resulting bounding box labels for classification. To verify the proposed method, we used the public ADNI data set, which is the standard brain MRI database. Experimental results show that the proposed method achieves impressive classification performance compared with other state-of-the-art methods.

• 문화기술의 융합
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• 제7권2호
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• pp.395-404
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• 2021

개인 메신저에서 사용하는 이모티콘은 이미 하나의 산업으로 자리를 잡았다. 본 연구에서는 사람들이 어떤 동기로 이모티콘을 사용하고, 그 동기가 어떻게 구매 행동까지 이어지는지 살펴보기로 하였다. 이에 따라 먼저 어떤 이모티콘 사용동기가 유료 이모티콘 구매에 대한 태도에 영향을 주는지 알아보았으며 다음으로 계획행동이론을 통해 구매행동이 설명되는지 PLS 기반 구조방정식 모델링을 통해 분석하였다. 연구 결과, 유행과 재미/습관 요인이 이모티콘 구매에 대한 태도를 유의하게 설명하는 것으로 나타났고, 태도와 주관적 규범과 지각된 행위통제가 구매 의도로 이어지며 구매 의도는 구매 행동을 예측하는 것으로 나타났다. 본 연구를 통해 유료 이모티콘 구매에 영향을 미치는 요인에 대해 검증된 모델을 통하여 확인할 수 있었으며 어떤 이모티콘 사용 동기가 영향을 미치는지를 확인한 결과는 이모티콘 제작 및 광고에 어떠한 요소를 담아야 하는지 함의를 제공할 수 있을 것으로 보인다.

• 대한후두음성언어의학회지
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• 제30권1호
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• pp.15-20
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• 2019

Background and Objectives : The goal of this study is to present a strategy for improving the self-regulation (SR) ability and facilitating the change of vocal behavior by applying voice therapy using the SR concept to the patients with vocal cord nodule and muscle tension dysphonia. Materials and Method : The subjects were 80 patients and 80 patients who were diagnosed with muscle tension dysphonia and vocal nodules. As a control group, the results were compared among patients with the same dysphonia without using SR strategies. The concept of SR before voice therapy was explained to the patients, and the treatment was divided into three stages according to the goal of voice therapy. The treatment stages consist of 1) skill acquisition, 2) habit formation, and 3) habit changes. voice therapy was performed by applying SR strategies such as goal implementation intentions and a less routine behavior. Patient's dropout rates were measured to compare the adherence of voice therapy. Results : Significant improvement was seen in all groups receiving voice therapy. However, in the group using the SR strategy, the voice analysis results showed a relatively low dropout rate of voice therapy. In the generalization confirmation stage, patients who applied SR concept showed better results. SR strategy did no longer be necessary to maintain newly adopted vocal behavior. Conclusion : The results of this study show that SR is one of the cognitive factors that can have a significant impact on the outcome of voice therapy, and also has a positive impact on the acquisition and generalization of new skills. A better understanding of SR and the development of therapeutic strategies using it will play an important role in solving voice problems in clinical settings.

• 대한의생명과학회지
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• 제25권1호
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• pp.99-106
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• 2019

Amyloid positron emission tomography (PET) allows early and accurate diagnosis in suspected cases of Alzheimer's disease (AD) and contributes to future treatment plans. In the present study, a method of implementing a diagnostic system to distinguish ${\beta}$-Amyloid ($A{\beta}$) positive from $A{\beta}$ negative with objectiveness and accuracy was proposed using a machine learning approach, such as the Principal Component Analysis (PCA) and Support Vector Machine (SVM). $^{18}F$-Florbetaben (FBB) brain PET images were arranged in control and patients (total n = 176) with mild cognitive impairment and AD. An SVM was used to classify the slices of registered PET image using PET template, and a system was created to diagnose patients comprehensively from the output of the trained model. To compare the per-slice classification, the PCA-SVM model observing the whole brain (WB) region showed the highest performance (accuracy 92.38, specificity 92.87, sensitivity 92.87), followed by SVM with gray matter masking (GMM) (accuracy 92.22, specificity 92.13, sensitivity 92.28) for $A{\beta}$ positivity. To compare according to per-subject classification, the PCA-SVM with WB also showed the highest performance (accuracy 89.21, specificity 71.67, sensitivity 98.28), followed by PCA-SVM with GMM (accuracy 85.80, specificity 61.67, sensitivity 98.28) for $A{\beta}$ positivity. When comparing the area under curve (AUC), PCA-SVM with WB was the highest for per-slice classifiers (0.992), and the models except for SVM with WM were highest for the per-subject classifier (1.000). We can classify $^{18}F$-Florbetaben amyloid brain PET image for $A{\beta}$ positivity using PCA-SVM model, with no additional effects on GMM.