• 치위생과학회지
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• 제10권6호
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• pp.417-424
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• 2010

본 연구는 2007년에 질병관리본부에서 수행한 제 3차(2007년) 청소년건강행태 온라인 조사 자료를 제공받아, 전국 중고등학교에 재학 중인 청소년 73,836명의 구강보건행태와 사회경제적 특성과의 연관성을 이용하여 분석하여 다음과 같은 결론을 얻었다. 수집된 자료는 SPSS프로그램 12.0을 사용하여 연구목적에 맞게 통계분석을 실시한 결과 다음과 같다. 1. 치과방문 경험률은 여학생이 1.45(1.401-1.492)배 높게 나타났으며, 중학생이 높았고, 도시규모는 대도시의 학생이 높았고, 경제수준은 상이라고 인식하는 학생에서 높았고, 어머니 학력은 대졸이하인 학생에서 높게 나타났고, 학업성적도 상, 중, 하인 순으로 높게 나타났다. 2. 하루 칫솔질 총횟수는 여학생이 1.64(1.557-1.717)배 높았고, 도시규모는 군 지역에 사는 학생이 가장 높았고, 경제 상태는 상, 중, 하 순이었다. 3. 점심 직후 칫솔질여부는 고등학생이 2.92(2.830-3.020)배로 높았고, 여학생에서 1.79(1.737-1.851)배 높았으며, 도시규모는 군 지역에 사는 학생이 높았고, 경제상태는 상위층에서 점심 직후 칫솔질 실천률이 가장 높았으며, 어머니 학력은 대졸이하에서 높게 나타났다. 4. 수업시간 구강보건 교육경험 여부는 중학생이 고등학생 보다 높았고, 남학생이 높았으며 도시규모는 군지역에 사는 학생이 가장 높았고, 경제 상태는 상, 하, 중 순으로 높게 나타났다. 위의 결과를 보면, 점심 직후 칫솔질 실천비율이 저조하였고, 지난 일 년 동안 치과방문경험이 낮았으며, 수업시간 구강보건 교육경험율이 24.5%에 그쳐 청소년기 학교에서 생활하는 시간이 많기 때문에 학교에서도 구강건강관리를 지속할 수 있는 현실성 있는 프로그램개발이 필요할 것으로 보이며, 인구사회경제학적 특성이 구강보건행태에 영향을 끼치지 않는 다양한 정책개발이 요구되어진다.

• Korean Journal of Radiology
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• 제22권6호
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• pp.994-1004
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• 2021

Objective: To extract pulmonary and cardiovascular metrics from chest CTs of patients with coronavirus disease 2019 (COVID-19) using a fully automated deep learning-based approach and assess their potential to predict patient management. Materials and Methods: All initial chest CTs of patients who tested positive for severe acute respiratory syndrome coronavirus 2 at our emergency department between March 25 and April 25, 2020, were identified (n = 120). Three patient management groups were defined: group 1 (outpatient), group 2 (general ward), and group 3 (intensive care unit [ICU]). Multiple pulmonary and cardiovascular metrics were extracted from the chest CT images using deep learning. Additionally, six laboratory findings indicating inflammation and cellular damage were considered. Differences in CT metrics, laboratory findings, and demographics between the patient management groups were assessed. The potential of these parameters to predict patients' needs for intensive care (yes/no) was analyzed using logistic regression and receiver operating characteristic curves. Internal and external validity were assessed using 109 independent chest CT scans. Results: While demographic parameters alone (sex and age) were not sufficient to predict ICU management status, both CT metrics alone (including both pulmonary and cardiovascular metrics; area under the curve [AUC] = 0.88; 95% confidence interval [CI] = 0.79-0.97) and laboratory findings alone (C-reactive protein, lactate dehydrogenase, white blood cell count, and albumin; AUC = 0.86; 95% CI = 0.77-0.94) were good classifiers. Excellent performance was achieved by a combination of demographic parameters, CT metrics, and laboratory findings (AUC = 0.91; 95% CI = 0.85-0.98). Application of a model that combined both pulmonary CT metrics and demographic parameters on a dataset from another hospital indicated its external validity (AUC = 0.77; 95% CI = 0.66-0.88). Conclusion: Chest CT of patients with COVID-19 contains valuable information that can be accessed using automated image analysis. These metrics are useful for the prediction of patient management.

• 벤처창업연구
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• 제2권3호
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• pp.123-143
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• 2007

21세기 글로벌 시대를 맞아 급속한 대내외적 경제 성장과 함께 여성의 경제활동 참여 및 여성 CEO의 등장이 급속히 증가하고 있다. 이러한 시대적인 흐름에 따라 그동안 학계에서는 여성기업에 대한 관심은 물론 체계적인 연구가 점진적으로 나타나는 현상을 볼 수 있다. 이와 같은 시대적 현상과 함께, 본 연구는 여성기업의 경영자 특성과 기업 성과간의 관계를 실증적인 연구로 살펴봄으로써 여성기업의 경쟁력 제고와 기업 성과향상에 이론적 및 실무적 시사점을 제공코자 한다. 본 연구는 전국의 여성기업중 여성창업기업을 대상으로 하여 수행된 자료를 수집하여 실증연구를 실시하였다. 분석결과 여성창업자의 특성과 기업성과에 있어서 인구통계적 특성 중 학력이 유의미한 영향을 미치는 것으로 나타났다. 또한 관리적 능력, 기업가정신, 기술적 능력이 매출액, 시장점유율, 수익성에 유의한 영향을 미치는 것으로 나타났다. 이러한 실증연구 결과는 향후 여성기업들에게 있어서 여성기업가 자신의 경영자적 특성 확보 및 관리적 능력 및 기술적 능력 향상, 그리고 기업가 정신의 중요성을 밝혀주고 있다.

• 보건교육건강증진학회지
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• 제19권2호
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• pp.73-98
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• 2002

This study was carried out to investigate the relationship between social support, social network and health behaviors as surveyed by cross-sectional study in 744 rural people aged above 30 of a community dwelling sample of one county for 6 days of July in 2000. Objectives of this study was in order to establish an effective health promotion. The sample was accrued by face to face interview of direct visiting from clustered sampling method. Interview was conducted by trained medical students with the questionnaire consisted of socio-demographic data, health behavior, social support and social network based on previous literature. The summarized results were as follows: 1. There were significant difference in the level of social support and social network by general characteristic variables except occupation and residency type(p〈0.05). 2. There were significant difference in knowledge about hypertension, smoking status, status of physical exercise, diet patterns by social support and social network in spite of variation of social support and social network subconcept(p〈0.05). And there were significant difference in alcohol drinking status, body weight control and diet pattern according to level of social network(p〈0.05). But smoking status by social support and network results opposite direction(p〈0.05). 3. There were no regular or consistent result in the relationship between social support, social network and health behavior. 4. Major predictors for health behavior on the multiple logistic regression that included general characteristic, social support and social network were age, instrumental social support and worry about health. Significant variables of multiple logistic regression for health behavior that included social support(instrumental and emotional) and social network were instrumental social support and social network. These results suggest that only a instrumental element and social network may be associated with health behavior. Inconsistent with prior research in these some item, a positive consistent relationship was not found between social support, social network and health behavior. So the study should be replicated to determined the reliability of our findings.

• 한국항행학회논문지
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• 제25권1호
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• pp.96-101
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• 2021

본 논문은 빅데이터를 이용하여 심방세동 환자의 뇌졸중 발병을 예측하는 기계 학습 모델을 제시한다. 학습 데이터로는 국민 건강 보험공단에서 제공하는 대한민국 전수에 해당하는 심방세동 환자의 정보를 수집하였다. 수집된 정보는 인구사회학, 과거 병력, 건강검진을 포함한 68개 독립변수로 구성된다. 본 연구의 목표는 기존 심방세동 환자의 뇌졸중 위험도 예측에 사용되던 통계적 모델 (CHADS2, CHA2DS2-VASc)의 성능을 검증하고 기계 학습 모델을 적용하여 기존 모델보다 높은 정확도를 가지는 모델을 제시하는 것이다. 제안하는 모델의 정확도, AUROC (area under the receiver operating characteristic)를 검증한 결과 제안하는 기계 학습 기반의 모형이 심방세동 환자의 뇌졸중 위험도를 사용한 모델이 기존의 통계적 모델보다 높은 정확도, 민감도, 특이도를 가지는 것을 확인할 수 있었다.

• 한국의상디자인학회지
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• 제13권2호
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• pp.35-46
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• 2011

The purpose of this study was to investigate the effect of mass media on women's clothing image, make-up image, and hair image. The subjects of the study were 306 women who lived in Gyeongnam area. Data were collected during June in 2009. Statistical analysis used in this study were frequency, F-test, t-test, Duncan test, factor analysis, Cronbach's ${\alpha}$, correlation coefficient, and multiple regression. The results of this study were as follows. The mass media according to the demographic characteristic of women showed significant difference. Three factors of clothing image were titled as elegance, youth, and visibility. Three factors of make-up image were titled as modern, romanticism, and mediocrity. Four factors of hair image were titled as attraction, individuality, gentleness, and cuteness. The mass media resulted in correlation with the clothing image, make-up image, and hair image. The mass media had a influence on the clothing image, make-up image, and hair image. The study results are highly expected to be used as useful sources in one's image formation and a marketing plan.

• 대한간호학회지
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• 제35권1호
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• pp.47-55
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• 2005

Purpose: This study was to evaluate the validity of the Pediatric Index of Mortality Ⅱ(PIM Ⅱ). Method: The first values on PIM Ⅱ variables following ICU admission were collected from the patient's charts of 548 admissions retrospectively in three ICUs(medical, surgical, and neurosurgical) at P University Hospital and a cardiac ICU at D University Hospital in Busan from January 1, 2002 to December 31, 2003. Data was analyzed with the SPSSWIN 10.0 program for the descriptive statistics, correlation coefficient, standardized mortality ratio(SMR), validity index(sensitivity, specificity, positive predictive value, negative predictive value), and AUC of ROC curve. Result: The mortality rate was 10.9% (60 cases) and the predicted death rate was 9.5%. The correlation coefficient(r) between observed and expected death rates was .929(p<.01) and SMR was 1.15. Se, Sp, pPv, nPv, and the correct classification rate were .80, .96, .70, .98, and 94.0% respectively. In addition, areas under the curve (AUC) of the receiver operating characteristic(ROC) was 0.954 (95% CI=0.919～0.989). According to demographic characteristics, mortality was underestimated in the medical group and overestimated in the surgical group. In addition, the AUCs of ROC curve were generally high in all subgroups. Conclusion: The PIM Ⅱ showed a good, so it can be utilized for the subject hospital. better.

• The Journal of Asian Finance, Economics and Business
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• 제5권2호
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• pp.129-137
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• 2018

The present paper study investigates the relationship between social exclusion and donation intention among specific social groups in Korea. Social exclusion refers to non-participation in social experiences by the socially disadvantaged. Data were analyzed using two sources; first was the evidence of behaviors arising from social exclusion of the university students and then socially excluded reactions of the elderly responses from the survey were compared with the first research findings. The reason of using multi-sources of data is that the outcome from the experimental design of the university student is imperative to clarify what the conclusions will be the same result with the other demographic characteristic of the elderly. The research design was three excluded elderly individuals of a self-excluded group and two other excluded groups divided such as "ignored" and "rejected" individuals to compare the differences among three groups of different sources of exclusion. The conclusion of this study is that those with high social exclusion exhibited a more negative donation intention than those with lower social exclusion, but that those who perceived themselves as self-excluded were more likely to give donations than those excluded by others, regardless of the level of their social exclusion.

• 복식문화연구
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• 제16권4호
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• pp.681-695
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• 2008

This study was accomplished to investigate the preference of clothing materials and the clothing demand performance for underwear and everyday dress of atopic patients. As this study was the research study by a use of a questionnaire, the finally total 987 copies of the collected questionnaires were used to analyze the data. SPSS was used for the statistical analysis of data. To analyze the data, frequency analysis, percentage, $X^2$-test, reliability analysis, factor analysis, t-test, ANOVA and Duncan's multiple comparisons were used. The results obtained are as follows. In factor analysis for clothing materials and the demand performance which atopic patients favor, the preference factors for underwear materials were classified as pliability/a sense of weight, a sense of cold and warmth, tactility, and elasticity. Those for everyday wear were classified as pliability/surface roughness, a sense of cold and warmth, a sense of weight, and elasticity. And the demand performance factors for underwears were classified as thermophysiology, care convenience, and skin contact. Those for everyday wear were classified as comfortableness and care convenience. In the difference analysis for the preference and the demand performance, Both everyday wear and underwear showed a significant difference for the preference and the demand performance according to gender, age, income, education level, and occupation.

• 컴퓨터교육학회논문지
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• 제19권5호
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• pp.55-71
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• 2016

최근 청소년의 과도한 인터넷 사용에 관한 부정적인 영향들이 증가함에 따라 인터넷 중독 문제가 지적되고 있다. 이에 본 연구에서는 제11차 청소년건강행태온라인조사 데이터를 활용하여 다양한 분석을 통해 도출된 결과를 기반으로 청소년의 과도한 인터넷 사용 대응방안에 대해 논의하고자 하며, 청소년 시기의 인터넷 이용에 영향을 미치는 요인으로는 인구사회학적 특성 요인, 심리 요인, 행동 요인을 중심으로 탐색하였다. 이 결과, 기존의 연구에서 접근하지 못했던 다양한 변인들이 청소년기의 인터넷 이용에 영향이 있음을 확인하였다. 본 연구의 결과를 통해 청소년기의 인터넷 이용에 영향을 미치는 변수들을 살펴볼 수 있으며, 나아가 청소년기의 과도한 인터넷 사용에 대한 대응방안을 마련할 수 있다.