• 한국보건간호학회지
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• 제31권1호
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• pp.162-177
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• 2017

Purpose: The purpose of this study was to investigate the degree of obesity and dietary self-efficacy scale and to identify factors that affect obesity in upper-grade elementary school students. Methods: A total of 458 fifth to sixth grade elementary school students in Seoul and Chuncheon city, and rural areas of Gangwon Province, were included in this study. The data was analyzed by descriptive statistics, ${\chi}^2$-test, t-test, ANOVA, and logistic regression. Results: The results revealed significant differences in the obesity region, perceived body image, experience of weight loss, family member of mother's age, mother's job and father's job between 'not obesity group' and 'obesity group'. The logistic regression analysis revealed that obesity was related with gender, region, and perceived body image. Conclusion: Gender, region, and perceived body image showed a relationship with obesity in upper-grade elementary school students. Thus, to develop obesity management program for upper grade elementary school students, we should be considered the gender, region, and perceived body image should be considered.

• Journal of Medicine and Life Science
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• 제19권2호
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• pp.39-45
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• 2022

This study was undertaken to assess the potential of body mass index (BMI) as a risk factor for massive hemorrhage (MH) after cesarean section (CS) in patients with placenta previa. We retrospectively reviewed the medical records of patients who underwent CS for placenta previa between January 2010 and December 2018. MH was defined as an estimated blood loss ≥2,000 mL during surgery. Clinical characteristics, including BMI, were compared between the groups with and without MH. Subsequently, multivariable logistic regression analysis was conducted to identify the independent risk factors for MH. A total of 189 patients were included in this study. MH was observed in 28 patients (14.8%). According to the multivariable logistic regression analysis results, the risk factors independently associated with MH were BMI at delivery (adjusted odds ratio [aOR], 1.19; 95% confidence interval [CI], 1.04-1.35; P=0.012), placenta accrete (aOR, 24.55; 95% CI, 2.75-219.02; P=0.004), and total previa degree (aOR, 9.86; 95% CI, 2.71-35.96; P=0.001). The study findings showed that maternal obesity, namely a higher BMI at delivery, was an independent risk factor for MH after CS in patients with placenta previa. Close attention should be paid to the potential risk of hemorrhage associated with maternal obesity as well as the well-known risk factors of placenta accreta and total previa degree.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• 제19권4호
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• pp.269-275
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• 2016

Purpose: Undernutrition during hospitalization increases the risk of nosocomial infection and lengthens the disease courses. The aim of this study was to evaluate the risk factors of weight loss during hospitalization in children. Methods: All the patients who were admitted in general wards between April and May 2014 were enrolled. Patients aged >18 years and discharged within 2 days were excluded. Weight loss during hospitalization was defined as a decrease in body weight of >2% in 8 hospital days or on the day of discharge. Patients who lost body weight during hospitalization were compared with patients who maintained their body weights. Significant parameters were evaluated by using the multivariate logistic regression analysis. Results: We enrolled 602 patients, of whom 149 (24.8%) lost >2% of their body weight. Complaint of pain (p=0.004), admission to the surgical department (p=0.001), undergoing surgery (p=0.044), undergoing abdominal surgery (p=0.034), and nil per os (NPO) durations (p=0.003) were related to weight loss during hospitalization. The patients who had high weight-for-age tended to lose more body weight (p=0.001). Admission to the surgical department (odds ratio [OR], 1.668; 95% confidence interval [CI], 1.054-2.637; p=0.029) and long NPO durations (OR, 1.496; 95% CI, 1.102-2.031; p=0.010) were independent risk factors of weight loss during hospitalization. The patients with high weight-for-age tended to lose more weight during hospitalization (OR, 1.188; 95% CI, 1.029-1.371; p=0.019). Conclusion: Greater care in terms of nutrition should be taken for patients who are admitted in the surgical department and have prolonged duration of nothing by mouth.

• Journal of Oral Medicine and Pain
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• 제40권1호
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• pp.28-34
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• 2015

Purpose: The aim of this study is to assess the relationship between possible occlusal change after stabilization splint therapy and the research diagnostic criteria for temporomandibular disorders (RDC/TMD) Axis I diagnoses and lateral cephalometric variables. Methods: Clinical and radiographic records of 47 TMD patients wearing stablization splint were reviewed. The number of occluding teeth was recorded and lateral cephalogram was taken at pre-treatment and 6-month post-treatment. They were divided into two groups. The control group consists of patients with the unchanged number of occluding teeth throughout 6-month splint therapy (19 females and 4 males), and occlusal-loss group with the number of occluding teeth decreased (19 females and 5 males). The difference of RDC/TMD diagnoses and cephalometric variables were compared between two groups. Results: In the control group, RDC group I, muscle disorders, was 39.1% (9/23), group II, disc displacements, was 17.4% (4/23), group III OA, osteoarthritis/osteoarthrosis, was 73.9% (17/23), and group III pain, arthralgia, was 82.6% (19/23). In the occlusal-loss group, group I was 41.7% (10/24), group II was 41.7% (10/24), group III OA was 70.8% (17/24), and group III pain was 83.3% (20/24). The frequency of RDC groups was not different between two groups, analyzed by binomial logistic regression. Pre-treatment cephalometric variables were not different between two groups. However, articular angle, AB to mandibular plane and ODI decreased and gonial angle increased significantly in the occlusal-loss group, implying clockwise rotation of the mandible, between pre-treatment and 6-month post-treatment, while none of cephalometric variables showed any statistical difference in the control group. Conclusions: Change in the number of occluding teeth was not related to the RDC/TMD diagnoses. Cephalometric values changed only in the occlusal-loss group as a result of mandibular clockwise rotation. None of cephalometric variables before the stabilization splint therapy was statistically different between the control and occlusal loss group.

• Gut and Liver
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• 제12권6호
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• pp.633-640
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• 2018

Background/Aims: Obesity is a risk factor for gastroesophageal reflux disease (GERD), with several studies demonstrating positive associations between body mass index (BMI) and GERD symptoms. However, little is known about the effect of BMI changes on erosive esophagitis (EE). In this study, we investigated whether BMI reduction could resolve EE. Methods: A retrospective cohort study was performed to assess the natural course of EE according to changes in BMI. Participants undergoing health check-ups from 2006 to 2012 were enrolled, and 1,126 subjects with EE were included. The degree of esophagitis was measured by upper endoscopy and serially checked over a 5-year follow-up. Logistic regression and Cox proportional hazards models were used to investigate the association between BMI reduction and EE resolution. Results: Substantial weight loss is associated with EE resolution. The adjusted odds ratio for EE resolution was 1.44 (95% confidence interval [CI], 1.09 to 1.92) among participants with a decrease in BMI compared to those with no decrease in BMI. The EE resolution rate was related to the degree of BMI reduction. The effect of weight loss on EE resolution was higher among subjects who lost more weight. Compared with subjects with no decrease in BMI, the hazard ratios for EE resolution were 1.09 (95% CI, 0.89 to 1.35), 1.31 (95% CI, 1.01 to 1.72) and 2.12 (95% CI, 1.44 to 3.12) in subjects with BMI reductions of ${\leq}1$, 1-2, and >$2kg/m^2$, respectively. Conclusions: EE resolution is associated with a decrease in BMI, and weight loss is potentially an effective GERD treatment.

• 한국컴퓨터정보학회논문지
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• 제28권3호
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• pp.101-110
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• 2023

본 연구는 2016-2019년 국민건강영양조사 자료를 이용하여 우리나라 비만을 동반한 고혈압 환자의 체중 감량 노력에 영향을 미치는 요인을 확인하기 위하여 수행되었다. 1,910명의 대상자에 대해 체중 인식, 체중 감량 노력 및 체중 조절 방법을 조사하였다. 데이터는 기술분석, 교차분석, 로지스틱 회귀분석을 사용하여 분석되었다. 비만 고혈압 환자 중 자신의 체중에 대해 정상 체중이라고 인식하는 사람이 12.6%이었다. 체중 감량 노력은 과체중 인식을 가지고 있는 사람이 정상 체중 인식을 가지고 있는 사람보다 2.03배(95% CI: 1.48-2.78) 높았으며, 여성이 남성보다 1.74배(95% CI: 1.33-2.26) 높았다. 또한 비만 1 단계인 사람이 비만 3단계인 사람보다 1.50배(95% CI: 0.85-2.65), 비만 2단계인 사람이 비만 3단계인 사람보다 2.16배(95% CI: 1.16-4.00) 높았다. 이러한 결과는 비만을 동반한 고혈압 환자를 위한 체중 관리 접근법은 체중 인식, 성별 및 비만 단계에 따라 개별적으로 설계되어야 한다는 것을 시사한다.

• International Journal of Computer Science & Network Security
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• 제22권5호
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• pp.294-302
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• 2022

Detection of fake news is a complex and a challenging task. Generation of fake news is very hard to stop, only steps to control its circulation may help in minimizing its impacts. Humans tend to believe in misleading false information. Researcher started with social media sites to categorize in terms of real or fake news. False information misleads any individual or an organization that may cause of big failure and any financial loss. Automatic system for detection of false information circulating on social media is an emerging area of research. It is gaining attention of both industry and academia since US presidential elections 2016. Fake news has negative and severe effects on individuals and organizations elongating its hostile effects on the society. Prediction of fake news in timely manner is important. This research focuses on detection of fake news spreaders. In this context, overall, 6 models are developed during this research, trained and tested with dataset of PAN 2020. Four approaches N-gram based; user statistics-based models are trained with different values of hyper parameters. Extensive grid search with cross validation is applied in each machine learning model. In N-gram based models, out of numerous machine learning models this research focused on better results yielding algorithms, assessed by deep reading of state-of-the-art related work in the field. For better accuracy, author aimed at developing models using Random Forest, Logistic Regression, SVM, and XGBoost. All four machine learning algorithms were trained with cross validated grid search hyper parameters. Advantages of this research over previous work is user statistics-based model and then ensemble learning model. Which were designed in a way to help classifying Twitter users as fake news spreader or not with highest reliability. User statistical model used 17 features, on the basis of which it categorized a Twitter user as malicious. New dataset based on predictions of machine learning models was constructed. And then Three techniques of simple mean, logistic regression and random forest in combination with ensemble model is applied. Logistic regression combined in ensemble model gave best training and testing results, achieving an accuracy of 72%.

• 한국정보시스템학회지:정보시스템연구
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• 제27권1호
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• pp.171-191
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• 2018

Purpose Corporate technology leakage is not only monetary loss, but also has a negative impact on the corporate image and further deteriorates sustainable growth. In particular, since SMEs are highly dependent on core technologies compared to large corporations, loss of technology leakage threatens corporate survival. Therefore, it is important for SMEs to "prevent and protect technology leakage". With the recent development of data analysis technology and the opening of public data, it has become possible to discover and proactively detect companies with a high probability of technology leakage based on actual company data. In this study, we try to construct profiles of enterprises with and without technology leakage experience through profiling analysis using data mining techniques. Furthermore, based on this, we propose a classification model that distinguishes companies that are likely to leak technology. Design/methodology/approach This study tries to develop the empirical model for prevention and protection of technology leakage through profiling method which analyzes each SME from the viewpoint of individual. Based on the previous research, we tried to classify many characteristics of SMEs into six categories and to identify the factors influencing the technology leakage of SMEs from the enterprise point of view. Specifically, we divided the 29 SME characteristics into the following six categories: 'firm characteristics', 'organizational characteristics', 'technical characteristics', 'relational characteristics', 'financial characteristics', and 'enterprise core competencies'. Each characteristic was extracted from the questionnaire data of 'Survey of Small and Medium Enterprises Technology' carried out annually by the Government of the Republic of Korea. Since the number of SMEs with experience of technology leakage in questionnaire data was significantly smaller than the other, we made a 1: 1 correspondence with each sample through mixed sampling. We conducted profiling of companies with and without technology leakage experience using decision-tree technique for research data, and derived meaningful variables that can distinguish the two. Then, empirical model for prevention and protection of technology leakage was developed through discriminant analysis and logistic regression analysis. Findings Profiling analysis shows that technology novelty, enterprise technology group, number of intellectual property registrations, product life cycle, technology development infrastructure level(absence of dedicated organization), enterprise core competency(design) and enterprise core competency(process design) help us find SME's technology leakage. We developed the two empirical model for prevention and protection of technology leakage in SMEs using discriminant analysis and logistic regression analysis, and each hit ratio is 65%(discriminant analysis) and 67%(logistic regression analysis).

• Clinical and Experimental Reproductive Medicine
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• 제30권1호
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• pp.39-45
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• 2003

Objective : To identify the factors affecting the complete fetal loss following multifetal pregnancy reduction (MFPR). Design: Retrospective clinical study. Methods : A total of 256 consecutive treatments of MFPR in IVF-ET cycles performed between 1992 through 2000 in Samsung Cheil hospital were analyzed. MFPR was done around 8 weeks of gestation by transvaginal ultrasono-guided aspiration in multiple pregnancies and reduced to singleton or twins. Stepwise logistic regression was performed to identify the factors affecting the final outcome of pregnancy after MFPR. Dependent variable was complete fetal loss and the independent variables were maternal age, paternal age, initial number of gestational sac (iGSNO), initial number of fetal heart beat, the number of remaining live fetus after MFPR, and chorionicity. Results: The total survival rate was 87.9%, and total fetal loss rate after MFPR was 12.1%. Total fetal loss occurred within four weeks from MFPR procedure was 1.95%. Total loss occurred after four weeks of procedure and before 24 gestational weeks was 8.2%. Seventy nine percent (202/256) of pregnancies delivered after 34 weeks of gestation. The survival rate of pregnancies reduced to singleton was significantly higher than that of pregnancies reduced to twins (93.5% vs. 86.7%, p<0.05). The mean ($\pm$SEM) gestational age at delivery was $36.2{\pm}1.0$ and $34.1{\pm}0.5$ weeks for pregnancies reduced to singletons and twins, respectively (p=0.065). Logistic regression analysis revealed that the maternal age, the number of initial gestational sac (iGSNO), and the number of remaining live fetus after MFPR significantly affected the rate of total fetal loss (Z = 0.174'age + 0.596'iGSNO + 1.324'remaining fetuses -12.07), (p<0.05). Conclusions: MFPR seems to be a relatively safe and efficient method to improve the obstetric outcome in high order multiple pregnancy. Because the maternal age, the number of initial gestational sac and the remaining live fetuses after MFPR affect the total fetal loss rate, restriction of the number of transferred embryos according to the age and MFPR to singleton fetus could be considered for the better obstetric outcome in IVF pregnancy.

• 치위생과학회지
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• 제18권1호
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• pp.1-8
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• 2018

Stroke is the second cause of death worldwide, although the survival period is increasing after the occurrence of stroke, severe physical disability is caused with aftereffect. Oral inflammation is not limited to the oral cavity, it can cause malignant changes in other tissues and organs. In previous studies, we confirmed the relationship between tooth loss and stroke due to periodontal inflammation. The purpose of this study was to investigate the relationship between oral health and stroke such as oral hygiene behavior, tooth loss and periodontal disease among Korean adults over 40 years of age. This study was analyzed using the 6th Korea National Health and Nutrition Examination Survey (KNHANES) data. A total of 3,389 adults over 40 years of age were analyzed as final subjects. Socioeconomic statuses and oral health status was analyzed using a complex sample analysis technique. Logistic regression was used to analyze the relationship of oral health and stroke, and 95% confidence intervals were computed using SPSS. When the prevalence of stroke according to oral hygiene behavior was checked, the prevalence of strokes was lower in subjects who had a lot of brushings per day and subjects who used oral hygiene products (p<0.05). The risk of stroke was 2.17 times (95% confidence interval, 1.43~3.28) higher in the group with less than 19 remaining teeth, but it was not statistically significant as a result of adjusting for age and sex, income level, education level, drinking and smoking (p>0.05). Loss of teeth was found to be associated with the risk factor of stroke. Therefore, loss of teeth due to periodontal disease is an additional issue that should be considered as a risk factor for stroke.