• Journal of Preventive Medicine and Public Health
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• v.29 no.3 s.54
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• pp.451-469
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• 1996

To identify the drug abuse status and its determinant factors in high school boys in Taegu, the study was performed from April to May, 1995. Study population were selected by cluster sampling method and total 5,665 students replied to the self-administered questionnaire survey (2,207 in academic high school, 3,458 in business high school). The major findings were as follows; The proportion of drinking, smoking experience was 55.0%, 45.8%, respectively, and the proportion of current drinker, current smoker was 27.2%, 27.5%. The drinking, smoking experience rate of second grade students was higher than first grade and it was higher in business high school boys. The proportion of a stimulant, a hallucinogen, hemp leaf cigarets experience was 3.2%, 1.6%, 0.1%, respectively. Drug abuse had significant association with home environment(lower economic status, frequent move, death of father or mother, apart from family), parents environment(parents' indifference, parents' drinking and smoking, etc.), school life(lower school grades, intimate friend's drug abuse, etc.), generous attitude to drug abuse, higher level of stress. Students who replied that the law prohibited immature person(students) from drinking and smoking showed lower drug abuse rate. In multiple logistic regression analysis, second grade students, business high school students, parents' indifference, lower school grades, intimate friend's drug abuse, no recognition of the fact that the law prohibits high school students from drinking and smoking, generous attitude to drug abuse, higher level of stress were significantly related with alcohol abuse and smoking. Other drugs abuse were related with above factors. On consideration of above findings, to prevent students from drug abuse, we have to try together in house, school, and society.

• Korean Journal of Psychosomatic Medicine
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• v.17 no.1
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• pp.15-22
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• 2009

Objectives : Prevalence of postpartum depressive disorders reaches approximately 10-15% of childbearing women. This preliminary study was intended to explore the relationships between postpartum depressive disorders and family adaptability and cohesion. Methods : Childbearing women(n=24) were assessed for risk factors for postpartum depression before and after childbirth prospectively. At gestational age between 36th and 40th week, the questionnaire about various factors before childbirth, Edinburgh postnatal depression scale(EPDS), Family adaptability-cohesion evaluation scale (FACES), and Beck anxiety inventory(BAI) were assessed. After childbirth, for the diagnosis of postpartum depressive disorders, a structured diagnostic interview according to MINI International Neuropsychiatric Interview was performed, furthermore, the questionnaire about various factors after childbirth, EPDS, and BAI were assessed at 4-6 weeks postpartum. Results : Among various factors and scales, family adaptability and cohesion, mood symptom and change during pregnancy were associated with postpartum depressive disorder in comparison with non-postpartum depressive disorder subjects. In addition, low family adaptability and cohesion and mood change during pregnancy were significantly associated factors with postpartum depressive disorder using logistic regression analysis. Conclusion : The results suggest the postpartum depressive disorder could be related with prenatal low family adaptability and cohesion. This preliminary study, however, includes only a few subjects, so that further large-sized study will be needed to replicate our results.

• Clinical and Experimental Pediatrics
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• v.46 no.6
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• pp.585-590
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• 2003

Purpose : This study is designed to determine the prevalence of cardiovascular autonomic neuropathy and its relationship to risk factors in adolescents with diabetes mellitus(DM). Methods : Ninety-two diabetic patients(80 with type 1 DM and 12 with type 2 DM), ranging from eight to 26 years of age, were studied for cardiovascular autonomic function, and the relationship to age, duration of diabetes, glycated hemoglobin(HbA1c), urinary albumin excretion, and the presence of diabetic retinopathy and abnormal nerve conduction velocities(NCV) were analysed. Autonomic function was assessed by measuring heart rate variation during valsalva manoeuvre, deep breathing and standing from a lying position(30 : 15 ratio), and postural hypotension. Results : Among patients with type 1 DM, 22.5% had early, 8.7% had definite, and 1.3% had severe autonomic dysfunction, and among patients with type 2 DM, 16.7% had early, 8.3% had definite, and 8.3% had severe autonomic dysfunction. On logistic regression analysis including both type 1 and type 2 diabetic patients, the age of the patient(OR=1.133(1.003-1.279), P<0.05) and duration of diabetes(OR=1.148(1.009-1.307), P<0.05) significantly predicted cardiovascular autonomic dysfunction while HbA1c, blood pressure, urinary albumin excretion, and presence of diabetic retinopathy and abnormal NCV did not. The valsalva ratio was borderline or abnormal in 31.5% of patients, the heart rate variation on deep breathing in 41.3%, the 30 : 15 ratio in 14.1%, and postural hypotension in 9.8% of patients. The valsalva ratio and the heart rate variation on deep breathing significantly predicted cardiovascular autonomic dysfunction, but the 30 : 15 ratio and postural hypotension did not. Conclusion : Cardiovascular autonomic dysfunction was found in 32.6% of diabetic patients and 10.8 % of patients had definite or severe involvement. The risk of cardiovascular autonomic dysfunction increased with the patient's age and the duration of DM. This study suggests that the valsalva ratio and the heart rate variation on deep breathing are the most useful tests in evaluating the cardiovascular autonomic function in children and adolescents with DM.

• Clinical and Experimental Pediatrics
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• v.52 no.10
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• pp.1127-1135
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• 2009

Purpose : To observe the abnormal white matter findings on the magnetic resonance imaging (MRI) scans of very-low- birth-weight (VLBW) infant brains at term-equivalent age and to determine the clinical risk factors for the development of periventricular leukomalacia (PVL). Methods : In all, MRI was performed in 98 VLBW infants and the white matter abnormalities were observed. Clinical risk factors for cystic and noncystic PVL were determined. Results : MRI scans of 74 infants (75.5%) showed diffuse excessive high signal intensity (DEHSI) in the periventricular white matter, 17 (17.3%) lateral ventricle dilation, 5 (5.1%) and 11 (11.2%) focal punctate lesions and cystic changes in the periventricular white matter, respectively, 9 (9.1%), germinal layer hemorrhage (GLH) or subependymal cysts 3 (3.1%) intraventricular hemorrhage (>grade 2) 2 (2.0%) posthemorrhagic hydrocephalus and 2 (2.0%) periventricular hemorrhagic infarct. Gestational age (GA), 1-minute Apgar score, Clinical Risk Index for Babies-II (CRIB-II) score, and inotrope use, and GA, CRIB-II score, postnatal steroid administration, inotrope use, and abnormal white blood cell (WBC) count at admission were related to cystic PVL and noncystic PVL development, respectively (P<0.05). However, in logistic regression analysis, CRIB-II (odds ratio, 1.63, 295% confidence interval, 1.15-2.30 P=0.006) for cystic PVL, and GA (odds ratio 0.90, 95% confidence interval, 0.82-0.99 P=0.036) for noncystic PVL were only significant independently. Conclusion : White matter abnormalities could be observed on MRI scans of the VLBW infant brains at term-equivalent age, and CRIB-II and GA were only independently significant for cystic and noncystic PVL development, respectively.

• Journal of Intelligence and Information Systems
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• v.17 no.4
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• pp.157-173
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• 2011

As the Internet use explodes recently, the malicious attacks and hacking for a system connected to network occur frequently. This means the fatal damage can be caused by these intrusions in the government agency, public office, and company operating various systems. For such reasons, there are growing interests and demand about the intrusion detection systems (IDS)-the security systems for detecting, identifying and responding to unauthorized or abnormal activities appropriately. The intrusion detection models that have been applied in conventional IDS are generally designed by modeling the experts' implicit knowledge on the network intrusions or the hackers' abnormal behaviors. These kinds of intrusion detection models perform well under the normal situations. However, they show poor performance when they meet a new or unknown pattern of the network attacks. For this reason, several recent studies try to adopt various artificial intelligence techniques, which can proactively respond to the unknown threats. Especially, artificial neural networks (ANNs) have popularly been applied in the prior studies because of its superior prediction accuracy. However, ANNs have some intrinsic limitations such as the risk of overfitting, the requirement of the large sample size, and the lack of understanding the prediction process (i.e. black box theory). As a result, the most recent studies on IDS have started to adopt support vector machine (SVM), the classification technique that is more stable and powerful compared to ANNs. SVM is known as a relatively high predictive power and generalization capability. Under this background, this study proposes a novel intelligent intrusion detection model that uses SVM as the classification model in order to improve the predictive ability of IDS. Also, our model is designed to consider the asymmetric error cost by optimizing the classification threshold. Generally, there are two common forms of errors in intrusion detection. The first error type is the False-Positive Error (FPE). In the case of FPE, the wrong judgment on it may result in the unnecessary fixation. The second error type is the False-Negative Error (FNE) that mainly misjudges the malware of the program as normal. Compared to FPE, FNE is more fatal. Thus, when considering total cost of misclassification in IDS, it is more reasonable to assign heavier weights on FNE rather than FPE. Therefore, we designed our proposed intrusion detection model to optimize the classification threshold in order to minimize the total misclassification cost. In this case, conventional SVM cannot be applied because it is designed to generate discrete output (i.e. a class). To resolve this problem, we used the revised SVM technique proposed by Platt(2000), which is able to generate the probability estimate. To validate the practical applicability of our model, we applied it to the real-world dataset for network intrusion detection. The experimental dataset was collected from the IDS sensor of an official institution in Korea from January to June 2010. We collected 15,000 log data in total, and selected 1,000 samples from them by using random sampling method. In addition, the SVM model was compared with the logistic regression (LOGIT), decision trees (DT), and ANN to confirm the superiority of the proposed model. LOGIT and DT was experimented using PASW Statistics v18.0, and ANN was experimented using Neuroshell 4.0. For SVM, LIBSVM v2.90-a freeware for training SVM classifier-was used. Empirical results showed that our proposed model based on SVM outperformed all the other comparative models in detecting network intrusions from the accuracy perspective. They also showed that our model reduced the total misclassification cost compared to the ANN-based intrusion detection model. As a result, it is expected that the intrusion detection model proposed in this paper would not only enhance the performance of IDS, but also lead to better management of FNE.

• Journal of agricultural medicine and community health
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• v.26 no.2
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• pp.147-159
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• 2001

A questionnaire survey of 568 women over the age of 30 in 11 dongs of Goryeong- gun was performed to identify the practice rate of breast self- examination and its related factors. It was found that the practice rate of breast self- examination was 28.2%, with 9.7% of those surveyed performing breast self- examinations more than once a month. The practice rate of breast self- examination showed significant differences according to factors, such as age, presence of spouse, educational level, occupation, economic status, smoking, regular exercise and chronic disease. According to age, the highest practice rate of breast self-examination was between the ages of 40-49 and the lowest over the age of 60. The practice rate increased with higher the educational level and presence of spouse. According to occupation, administrative and managerial occupations presented the highest practice rate of breast self- examination. Higher economic status, regular exercise and positive family history of breast cancer each presented high practice rates of breast self- examination. The practice rate revealed higher in those who did not smoke and who had no chronic diseases than others. The greatest reason for performing breast self- examination was decided by myself for health reasons, followed by effect of mass media and promotion by health center. The most common reasons for not performing breast self- examination were don't feel the need, followed by don't know how to perform the exam and don't know about the exam itself. Multiple logistic regression analysis showed that factors, such as over the age of 60, less education, and no experience with mammography all lowered the practice rate of self-breast examination. Inconclusion, the rates of breast self- examination and regular check-ups of people in rural areas, who are characteristically older and have low educational backgrounds, were 28.2% and 9.7%. These results show the immediate need for the education of the methods for breast self- examination to be carried out by health centers in these areas. Such efforts and programs could increase the practice rate of breast self- examination and thereby improve health and enhance the quality of life of women in rural areas.

• Journal of agricultural medicine and community health
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• v.26 no.2
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• pp.133-146
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• 2001

The purpose of this study was to investigate the treatment status and its related factors of the newly detected rural hypertensives through community health promotion program. A questionnaire survey and blood pressure measurement were performed to 6,977 residents of a rural area, and 282 hypertensives detected by blood pressure measurement were selected as subjects of the study. The study employed the health belief model as a hypothetical model. The major results of this study were as follows: The proportion of person experienced treatment among hypertensives was 12.0%. Treatment experience rate was significantly related with age and educational level(p<0.01). That is, if they were older, lower educational level, the treatment experience rate was higher. The major reasons of no treatment were 'they had not hypertensive symptoms ' (45.6%), 'their blood pressure was not high so much that they received treatment ' (43.2%). The chief facilities for treatment were public health institutions(57.9%) such as health center and health subcenter, and hospital/ clinics(29.8%). The treatment experience rate was higher when they had higher perceived severity for hypertension, lower perceived barrier to treatment, although statistically not significant. Treatment experience rate was significantly related with cues to action and health education experience(p<0.05). That is, if they had hypertension related symptoms such as headache previously, patients suffered from hypertension complication and health education experience for hypertension, the treatment experience rate was higher. In multiple logistic regression analysis for treatment experience, having a cerebrovascular patient in their acquaintance and the experience of health education for hypertension were significant variables. On consideration of above findings, it would to be essential to provide knowledge about hypertension and its treatment, and severity of hypertension complications through health education.

• Journal of agricultural medicine and community health
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• v.34 no.1
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• pp.76-86
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• 2009

Objectives: This study was conducted to find out the frequency of urinary incontinence among the rural elderly people and its related factors. Methods: Informations have been obtained through interviews from the 464 rural residents of advanced age over 65 years on September 1st through November 30th, 2007, in Chungnam Province. Results: As for the rate of experiencing urinary incontinence, the group with the experience rate of 「every day」 were 9.5% and 「occasionally」 35.5%, with the total of 45.0%. The higher rates of urinary incontinence were in the elderly women(58.5%) than in the elderly men (29.8%), in the more advanced in age, in the higher educated, and in the groups with higher monthly income. Based on life styles, the rate of experiencing urinary incontinence was significantly higher in smoking groups and non-drinking groups. Based on subjective senses of health, it was more highly associated with the groups who reported that they were not healthy, that they concerned themselves about health, that they had physical disability, that they had forgetfulness, and they needed assistance in terms of activity of daily living(ADL) and instrumental activity of daily living(IADL) than their respective counterparts. By the result of multiple logistic regression, sex, age, smoking status, anxiety, physical disability, amnesia, and IADL was indicated the affecting factors to the prevalence of urinary incontinence. Conclusions: The above results reveal that the rate of urinary incontinence was higher in the elderly women than the elderly men, and in more advanced age. Moreover, its rate increases in the groups with undesirable life styles or lower senses of subjective and physical health conditions. It is highly suggested that efforts to manage urinary incontinence of the elderly need to be narrowed to the more advanced, especially those with lower standards of health conditions.

• Clinical and Experimental Pediatrics
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• v.51 no.5
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• pp.474-480
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• 2008

Purpose : Stress hyperglycemia is common in critically ill adult patients. It is known as a predictor of increased mortality, and intensive insulin therapy has been shown to improve the prognosis in such patients. We have investigated the relationship between early stress hyperglycemia and clinical outcomes in preterm infants. Methods : In this study, 141 preterm infants with a gestational age of less than 30 weeks were enrolled. The hyperglycemic group was defined as that having maximum glucose of more than 150 mg/dL (n=61) during the first 48 h of life, and the non-hyperglycemic group was defined as that having maximum glucose of less than 150 mg/dL (n=80). Perinatal history, severity of illness using the Clinical Risk Index for Babies (CRIB) score, clinical outcomes, and mortality of the two groups were compared. Results : There was no significant difference in the gestational age between the two groups, but the birth weight (P<0.001) was significantly lower, and the CRIB score (P<0.001) was significantly higher in the hyperglycemic group. Disseminated intravascular coagulation (P<0.001) and clinically suspected sepsis (P=0.046) were more common in the hyperglycemic group. Mortality was markedly higher in the hyperglycemic group (11.3% vs. 41.0%, P<0.001). On performing a stepwise multiple logistic regression analysis, hyperglycemia (OR 3.787; 95% CI 1.324 to 10.829), the CRIB score (OR 1.252; 95% CI 1.047 to 1.496) and birth weight (OR 0.997; 95% CI 0.994 to 1.000) was independently associated with higher mortality. Conclusion : Stress hyperglycemia within the first 48 h of life is independently related to increased morbidity and mortality in preterm infants.

• Journal of Genetic Medicine
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• v.6 no.1
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• pp.74-80
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• 2009

Purpose: To assess the value of first-trimester pregnancy-associated plasma protein-A (PAPP-A), nuchal translucency (NT) and second-trimester alpha-fetoprotein (AFP), human chorionic gonadotropin (hCG), unconjugated estriol (uE3), and inhibin-A in predicting pregnancy complications other than fetal aneuploidy. Materials and Methods: A retrospective study in 3,121 singleton pregnancies with integrated testing was performed at Kangnam CHA hospital between January 2005 and December 2006. Baseline characteristics, pregnancy outcomes, and serum marker levels were obtained by review of the medical records. We analyzed the data to identify associations between the integrated screening markers and adverse pregnancy outcomes. Statistical analyses were performed with the SPSS program. Results: In preterm labor and preeclampsia, high AFP, hCG, and inhibin-A levels and low PAPP-A and NT levels were found to be significantly correlated (P<0.05). Elevated second-trimester inhibin-A levels were associated with preeclampsia (odds ratio 2.843), low birth weight (odds ratio 1.446), and preterm labor (odds ratio 1.287), and while decreased first-trimester PAPP-A levels were associated with preeclampsia (odds ratio 0.51) and preterm labor (odds ratio 0.75). Conclusion: First- and second-trimester maternal serum markers screening can be used for predicting high-risk pregnancies.