• Asian Pacific Journal of Cancer Prevention
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• 제16권10호
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• pp.4335-4338
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• 2015

Background: Oral cancer is the third most common malignancy in Saudi Arabia, the highest incidence of which is reported from Jazan province. The objective of this study was to evaluate the association of various locally used substances, especially shamma, with oral cancer in the Jazan region of Saudi Arabia. Materials and Methods: A hospital-based case-control study was designed and patient records were scanned for histologically confirmed oral cancer cases. Forty eight patients who were recently diagnosed with oral cancer were selected as cases. Two healthy controls were selected for each observed case and they were matched with age (+/- 5 years) gender and location. Use of different forms of tobacco such as cigarettes, pipe-smoking and shamma (smokeless-tobacco) was assessed. Khat, a commonly used chewing substance in the community was also included. Descriptive analysis was first performed followed by multiple logistic regression (with and without interaction) to derive odds ratios (ORs) and 95% confidence interval (CIs). Results: Mean age of the study sample (56% males and 44% females) was 65.3 years. Multinomial regression analysis revealed that shamma use increased the odds of developing oral cancer by 29 times (OR=29.3; 10.3-83.1). Cigarette (OR=6.74; 2.18-20.8) was also seen to have an effect. With the interaction model the odds ratio increased significantly for shamma users (OR=37.2; 12.3-113.2) and cigarette smokers (OR=10.5; 2.88-3.11). Khat was observed to have negative effect on the disease occurrence when used along with shamma (OR=0.01; 0.00 - 0.65). Conclusions: We conclude that shamma, a moist form of smokeless tobacco is a major threat for oral cancer occurrence in the Jazan region of Saudi Arabia. This study gives a direction to conduct further longitudinal studies in the region with increased sample size representing the population in order to provide more substantial evidence.

• 유통과학연구
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• 제14권7호
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• pp.91-100
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• 2016

Purpose - Recently actively growing franchise systems distribution channel system in which franchise headquarter compared with franchise occupies an important place in distribution channel. Due to this, franchise and franchise headquarter are interdependent on task and in this situation the goal they go after, motivation and objective are probably inconsistent. If so, possibility to participate goal setting process or operating activity of opposite side is becoming bigger and in the end conflict may generate. The purpose of this study is to examine the role of the supervisor's attitude and expertise as moderating factors in the relationship between goal-incongruity/coercive power/role-incongruity and the conflict perceived by franchisee. Research design, data and methodology - This study was intended to verify how the supervisor's attitude and expertise as moderating factors in the relationship between goal-incongruity/coercive power/role-incongruity and the conflict perceived by franchisee. In order to achieve the purpose of this study, some study models and hypotheses have been established through theoretical examinations. Then, using these scales, the researcher completed the questionnaire survey. To test our hypotheses, the survey was conducted from March 9, 2016 for 20 days by random sampling, The study was implemented through a descriptive survey method using a self-administered questionnaire. A survey of 124 restaurant franchisee across Seoul and Gyeonggi Province was performed. A total of 124 completed responses were analyzed. In this study, I used SPSS 22.0 to analyze data and did frequency analysis to see demographic, and general features of the respondents; also did exploratory factor analysis to examine the validity of the items of measurement. Factor analysis was first calculated at a minimum, the number of factors, principal component analysis used when variables are committed to maximising the information with (principle component analysis) and the rotation of factors were angry about the great variable factors than 1.0 by applying Varimax rotation. In addition, I used the value of Cronbach's (Alpha) to examine the reliance of questionnaire items, final analysis the reliability factor can be found both high reliability hayeoteumeuro exceeds over 0.6 and did Multiple regression analysis to test hypothesis and also did hierarchical regression analysis to examine moderating effect. Results - To analyze the proposed model, according to the analysis result, it was found that the influence of goal-incongruity, coercive power, and role-incongruity on the perceived conflict of franchisee is moderated by the supervisor's attitude and expertise. That is, the more the supervisor's attitude and expertise were positive, the more the conflicts of the goal-incongruity, coercive power, and role-incongruity were decreased. It also confirmed previous research's finding that goal-incongruity, coercive power, and role-incongruity positively influence on the conflict. Conclusions - According to the results of this research which reduces the conflict of franchise from the in consistent goal; coercive power, and inconsistent role of superiors, it provides very important implications for franchise headquarter which has franchise system and also give them some suggestion about how to recruit superiors and what kind of training may be fit for the superiors.

• Journal of Preventive Medicine and Public Health
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• 제42권4호
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• pp.231-236
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• 2009

Objectives : This study was conducted to determine the appropriate sampling time of the salivary stress markers, chromogranin A (CgA) and cortisol as objective indices of job stress assessment in adult females. Methods : The subjects were 20${\sim}$39-year-old women (13 office workers, 11 sales-service workers, and 11 college students) who were eligible for the study and free of acute and chronic medical conditions. Salivary CgA and cortisol levels were determined by enzyme-linked immunosorbent assay (ELISA). Saliva samples were collected (2 $m{\ell}$ each) at 7:00, 8:00, 10:30, 12:00, 17:30, and 22:30 on a typical day. Salivary CgA and cortisol levels, according to sampling time, were compared among the three groups using general linear model. The full version of the Korean Occupational Stress Scale (KOSS), which includes socioeconomic characteristics, health behavior, workrelated characteristics, and BMI, was used to access the subjects' job stress. Multiple regression analysis of the job stressors identified by the KOSS was performed on salivary CgA and cortisol levels. Results : The salivary CgA level peaked at 7:00 (time of awakening), then decreased and were maintained at a low level throughout the day, and increased slightly at 17:30. The salivary cortisol level increased steeply within the 1st hour after awakening, followed by a gradual decrease by 12:00, and was then maintained at a low level throughout the day. The salivary cortisol levels of subjects who worked ${\leq}$5 days per week and graduated from the university were significantly lower at 8:00 (p=0.006). The salivary cortisol levels of non-smokers were significantly lower at 7:00 p=0.040) and 8:00 (p=0.003) compared to smokers. There were no significant differences in salivary CgA and cortisol levels at 10:30 and 12:00 in general characteristics. The regression coefficients on salivary CgA level were significant with interpersonal conflict at 17:30 and job insecurity at 22:30. Regression coefficients on salivary cortisol level were significant with organizational system and total job stressors at 17:30. Conclusions : We suggest that the appropriate sampling times for the salivary stress markers, CgA and cortisol, are at 7:00 (time of awakening), 8:00 (1 hour after awakening), 17:30 (early evening), and 22:30 (before sleep).

• Journal of Preventive Medicine and Public Health
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• 제35권1호
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• pp.1-12
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• 2002

Objective : To estimate the socioeconomic costs of obesity in Korea,1998. Methods : The 1998 National Health and Nutrition Examination Survey(1998 NHNES) data was used and 10,880 persons who had taken health examinations were selected for study. Essential hypertension, NIDDM(non insulin-dependent diabetes mellitus), dyslipidemia, osteoarthritis, coronary heart disease, stroke were included as obesity related disease. The data of direct costs of obesity was obtained from the National Federation of Medical Insurance. The category of indirect costs was the loss of productivity caused by premature death and admission, time costs, traffic costs, nursing fees due to obesity. Multiple logistic regression model was developed to estimate prevalence odds ratio by obesity class adjusted demographic and socio-ecnomic factors and calculate PAF(Population Attributable Fraction) of obesity on obesity related disease. And we finally calculated the socioeconomic costs of obesity in relation to BMI with PAF. Results : The direct costs of obesity were 2,126 billion${\sim}965$ billion Won in considering out of pocket payment to uninsured services, and the indirect costs of obesity were 2,099 billion${\sim}1,086$ billion Won. Consequently, in considering out of pocket payment to uninsured services, the socioeconomic costs of obesity were 4.225 billion${\sim}2,050$ billion Won, which corresponded to about $0.094%{\sim}0.046%$ of GDP and $1.88%{\sim}0.91$ of total health care costs in Korea. Conclusions : Obesity represents a major health problem with significant economic implications for the society. This results are conservative estimates as far as all obesity related disease and all health care and indirect costs were not included due to missing information. further studies are needed to caculate socioeconomic costs of obesity more exactly.

• 환경정책연구
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• 제8권4호
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• pp.25-36
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• 2009

지금까지 한강수계에서 임의적으로 시행되던 수질오염총량관리제도가 의무적 시행으로 전환될 예정이다. 본 연구에서는 갭분석과 계층화분석 등의 객관적인 접근을 통해 이러한 의무적 시행을 지원할 수 있는 조사 연구 방향 및 우선순위를 제시하였다. 갭분석 결과 아직까지 우리나라의 총량관리는 새로운 제도를 정착시키기 위한 규제에 초점을 두는 제도시행의 초기적 특성을 보이고 있어, 향후에는 배출권거래의 도입, 배출허가시스템의 개선 등 시행의 유연성 및 실효성을 제고하는 제도개선 분야에 대한 조사 연구가 필요한 것으로 나타났다. 계층화분석 결과를 보면 특정분야보다는 제도개선 및 과학적 불확실성 해소를 위해 전 분야의 조사 연구가 병행될 필요가 있는 것으로 나타나 아직 제도의 시행이 안정화 단계에 이르고 있지 못함을 반영하고 있다. 세부분야 별 조사 연구의 필요성은 목표수질 설정의 타당성 확보가 가장 큰 것으로, 기술적 측면에서는 부하량 및 수질예측 모델의 신뢰성 제고 및 획기적인 부하량 및 삭감방안의 개발이 강조되어야 할 것으로 나타났다.

• 한국지형학회지
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• 제20권4호
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• pp.85-99
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• 2013

이 연구의 목적은 다중 시기 원격탐사 자료로부터 추출한 수륙경계선을 이용하여 제작된 간석지 수치표고모델(DEM)에 포함된 오차의 공간 분포 분석 및 침수 취약성 추정에 있다. 오차의 전역적인 통계값만을 제시했던 기존 연구와 달리, 이 연구에서는 지구통계학적 시뮬레이션을 이용하여 확률론적 관점에서 오차의 공간 분포를 정량적으로 해석하였다. 바람아래 간석지를 대상으로 2010년대 다중 시기 Landsat 자료로부터 추출된 수륙경계선과 보정 조위값을 이용하여 초기 DEM을 생성하였다. 현장 고도 측정 자료와 비교하였을 때, 생성된 DEM은 대체로 실제 고도를 저추정하는 것으로 나타났으며, 지역적인 차이가 나타났다. 이후 오차의 공간 자기상관성 정보를 기반으로 순차적 가우시안 시뮬레이션을 적용하여 다량의 대안적 오차 공간 분포도를 작성하였다. 이 오차 공간 분포도를 이용하여 오차가 보정된 대안적 DEM을 생성한 후에, IPCC SERS 해수면 상승 시나리오에 따른 침수 취약성의 확률 분포도를 제작하였다. 지구통계학적 시뮬레이션 기반 오차분석 방법론은 오차 추정의 불확실성 및 오차 전파 문제를 확률론적으로 표현할 수 있다. 따라서 이 연구에서 적용한 오차 분석 방법론은 수륙경계선 기반 간석지 DEM의 오차 추정뿐만 아니라, 다양한 분야의 주제도에 포함된 오차의 확률론적 평가에 유용하게 사용될 수 있을 것으로 기대된다.

• 한국컴퓨터정보학회논문지
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• 제25권6호
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• pp.171-181
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• 2020

본 연구는 미성년 자녀를 둔 임금근로 여성의 일과 가정의 양립에 영향을 미치는 요인을 분석하는 실증 연구이다. 분석 자료는 한국여성정책연구원의 여성가족패널조사(Korean Longitudinal Survey of Women & Families) 7차 웨이브의 1,113명을 대상으로 하였다. 연구방법으로는 '사회적 지원(가정 내 지원, 모성보호 지원, 보육 및 교육서비스)'과 '일자리 특성', '인구사회학적 변인', '남편의 특성'이 '일과 가정의 양립' 및 '갈등'에 미치는 영향을 분석하고자 다중회귀분석을 활용하였다. 분석결과 남편의 직장생활지지, 기업 내의 성차별, 여성의 교육연수는 일과 가정의 양립을 강화하는 요인으로 분석되었다. 그리고 기업 내의 성차별, 보육 및 교육시설 이용도, 미성년 자녀수, 남편 연령, 남편의 돌봄 도움만족도, 남편의 직장생활지지는 일과 가정의 갈등 요인으로 분석되었다. 따라서 일과 가정의 양립을 강화하는 방향이 장기적인 정책 방향이라면, 단기적으로는 갈등요인을 감소시킬 수 있는 정책의 보완 및 강화가 필요한 것으로 나타났다. 본 연구의 결과가 미성년 자녀를 둔 임금근로 여성들의 모성보호와 일과 가정의 양립을 강화시키기 위한 객관적이고 학술적인 자료로 활용되기를 기대한다.

• 산업융합연구
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• 제21권6호
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• pp.61-71
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• 2023

본 연구의 목적은 코로나19 거점전담병원 간호사의 셀프리더십과 환자중심간호 관계에서 간호전문직관과 직무스트레스의 변수들간 매개효과를 확인하는 것이다. 자료수집은 코로나19 거점전담병원 간호사 160명으로 2022년 1월 10일부터 2월 30일까지 실시하였고, 독립 t- 검정, 일원분산분석, 상관관계분석, 다중선형회귀분석, PROCESS MACRO 모델4를 활용하여 부트스트래핑 방법을 통해 분석되었다. 셀프리더십의 평균 점수는 61.3±8.55점, 간호전문직관의 평균 점수는 95.5±11.66점, 직무스트레스의 평균 점수는 51.3±4.76점, 환자중심간호의 평균 점수는 59.3±7.63점이었다. 코로나19 거점전담병원 간호사의 셀프리더십과 환자중심간호 간 영향관계에서 간호전문직관과 직무스트레스의 매개효과를 확인하였다. 이 연구의 결과는 환자중심간호 강화 프로그램 적용시 간호전문직관 향상 및 직무스트레스를 감소시킬 수 있는 내용을 포함해야 함을 시사한다.

• Korean Journal of Radiology
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• 제21권12호
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• pp.1345-1354
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• 2020

Objective: To evaluate radiomics analysis in studies on mild cognitive impairment (MCI) and Alzheimer's disease (AD) using a radiomics quality score (RQS) system to establish a roadmap for further improvement in clinical use. Materials and Methods: PubMed MEDLINE and EMBASE were searched using the terms 'cognitive impairment' or 'Alzheimer' or 'dementia' and 'radiomic' or 'texture' or 'radiogenomic' for articles published until March 2020. From 258 articles, 26 relevant original research articles were selected. Two neuroradiologists assessed the quality of the methodology according to the RQS. Adherence rates for the following six key domains were evaluated: image protocol and reproducibility, feature reduction and validation, biologic/clinical utility, performance index, high level of evidence, and open science. Results: The hippocampus was the most frequently analyzed (46.2%) anatomical structure. Of the 26 studies, 16 (61.5%) used an open source database (14 from Alzheimer's Disease Neuroimaging Initiative and 2 from Open Access Series of Imaging Studies). The mean RQS was 3.6 out of 36 (9.9%), and the basic adherence rate was 27.6%. Only one study (3.8%) performed external validation. The adherence rate was relatively high for reporting the imaging protocol (96.2%), multiple segmentation (76.9%), discrimination statistics (69.2%), and open science and data (65.4%) but low for conducting test-retest analysis (7.7%) and biologic correlation (3.8%). None of the studies stated potential clinical utility, conducted a phantom study, performed cut-off analysis or calibration statistics, was a prospective study, or conducted cost-effectiveness analysis, resulting in a low level of evidence. Conclusion: The quality of radiomics reporting in MCI and AD studies is suboptimal. Validation is necessary using external dataset, and improvements need to be made to feature reproducibility, feature selection, clinical utility, model performance index, and pursuits of a higher level of evidence.

• 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.