• The Journal of the Korea Contents Association
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• v.17 no.7
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• pp.557-570
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• 2017

This study, as a secondary analysis research, bases its source upon on raw data from the on-line survey of the Korean adolescents' health behaviors in 2015. This study was conducted to clarify the relevance of Korean adolescents' smoking with their health behaviors and mental health, and thus further to provide basic sources of effective education for their smoking prevention and for program development. The results of the study showed that Korean adolescents' smoking was significantly affected by the adolescents' sex, grades, school achievements, types of schools, allowances, economic status, parents' educational background (p<0.001). Meanwhile, smoking based on the characteristics of health behaviors was significantly different according to alcohol consuming experience, families' and friends' smoking, physical activity and subjective health status, and BMI (p<0.001). Smoking characterized by mental health showed the significant difference in their stress recognition, subjective sleep patterns, depressed experiences, suicidal ideation, and subjective sense of happiness (p<0.001). Based on all the factors regarding youth smoking, there should be development and provision of educational program for smoking prevention and cessation, including healthy behavior and mental health improvement for Korean adolescent.

• Korean Journal of Clinical Pharmacy
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• v.23 no.3
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• pp.197-205
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• 2013

Background: Many factors including drugs, dietary supplements, and food intake can affect the development and organ formation of fetuses. Because of this, subject tends to avoid consuming things like coffee, alcohol, or cigarettes due to the risks they pose during pregnancy. Therefore, analysis of drugs and favorite food consumption is needed and important to ensure safe health management for subject. Purpose: This study was conducted domestically to analyze these factors in South Korea. Method: The survey was conducted from pregnancy-related online communities for six days and the survey results were received via email for analysis. Result: A total of 127 subjects answered the questionnaire via email; the characteristics of subjects are widely varied in their ages, education levels, job statuses, and residences. The questionnaire included the intake of dietary supplements during pregnancy including vitamins and the result showed that the subjects took 2.23 different kinds of supplements on average. In order of highest frequency, 101 subjects took multivitamins; 79 subjects took an iron supplement; 30 subjects took analgesics; 20 subjects took prescribed antipyretic and medication for upper respiratory diseases; 12 subjects took antibiotics; 7 subjects took antiemetics. Their compliances were different in each medication categories. Only 8% of subjects answered that they had asked a pharmacist for medication information during pregnancy. In addition, 78% of subjects answered that they never counseled with anyone about pregnancy related medication use. Conclusion: In conclusion, many subjects took medication including dietary supplements. The role of pharmacists should be actively developed to improve subject care such as education about subject's medication uses and their food consumption behavior.

• Anxiety and mood
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• v.2 no.1
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• pp.50-55
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• 2006

Objectives : In the psychiatry, structured interview is very important tool to be used in epidemiological or psychopharmacological studies. However, investigators often find that the administration of comprehensive diagnostic interviews is time-consuming and expensive to be used in clinical or research settings. Considering these points, Sheehan and his colleagues developed MINI (Mini International Neuropsychiatric Interview) to meet the need for a brief, reliable, and valid structured diagnostic interview for psychiatric disorders. The MINI has been translated into many languages and used in many countries. Therefore, we translated the MINI into Korean and determined its validity in this study. Methods : Twohundred seventy patients and normal subjects participated in the validation of the MINI versus an expert's professional opinion. Schizophrenia and other psychotic disorders, mood disorders including major depressive disorder and bipolar disorder, anxiety disorders including panic and other phobic disorders, and alcohol dependence were included in this study. The validity was obtained by examination whether MINI based diagnoses were compatible with diagnoses by expert psychiatrists. Results : The range of Kappa values was 0.22 (somatoform disorder) to 0.93 (bipolar disorder - past). Overall agreement between MINI and expert's diagnoses were good. The Kappa values for anxiety disorders seemed to be higher than those for other disorders. Conclusion : The MINI Korean version has the good validity. It also has potential applications as a diagnostic tool for psychiatric disorders.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.36 no.5
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• pp.323-330
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• 2023

The development of an analysis model that reflects the microstructure characteristics of polyvinyl alcohol (PVA) fiber-reinforced cementitious composites, which have a highly complex microstructure, enables synergy between efficient material design and real experiments. PVA fiber orientations are an important factor that influences the mechanical behavior of PVA fiber-reinforced cementitious composites. Owing to the difficulty in distinguishing the gray level value obtained from micro-CT images of PVA fibers from adjacent phases, fiber segmentation is time-consuming work. In this study, a micro-CT test with a voxel size of 0.65 ㎛³ was performed to investigate the three-dimensional distribution of fibers. To segment the fibers and generate training data, histogram, morphology, and gradient-based phase-segmentation methods were used. A U-net model was proposed to segment fibers from micro-CT images of PVA fiber-reinforced cementitious composites. Data augmentation was applied to increase the accuracy of the training, using a total of 1024 images as training data. The performance of the model was evaluated using accuracy, precision, recall, and F1 score. The trained model achieved a high fiber segmentation performance and efficiency, and the approach can be applied to other specimens as well.