• Korean Journal of Social Welfare Studies
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• v.41 no.2
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• pp.67-99
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• 2010

Previous studies indicate that depression is strongly correlated with suicide, suggesting that individuals with higher levels of depression are more likely to commit suicide. Statistical data, however, show that depression is more prevalent among females whereas suicidal incidents are much higher among males. Using the 1st Seoul Welfare Panel Data, this study aims to examine the association between depression and suicidal attitudes and further examine whether there is gender and age difference in the relationship. Sample consists of 7,396 individuals aged 18 and over. Research questions were answered through the structural equation modeling(SEM) and multi-group SEM. The results showed that (1) depression is significantly associated with suicidal attitudes, replicating the previous findings, (2) the association was much higher among males than females, suggesting that depressed males are more vulnerable to suicide than depressed females, and (3) the gender difference was primarily caused by the group of women aged 65 and over. Based on these findings, implications for theory and practice were discussed.

• The Journal of the Korea Contents Association
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• v.20 no.10
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• pp.488-495
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• 2020

The purpose of the study was to identify the associated factors on the smartphone addiction of university freshmen. Collected data were analyzed with SPSS 26.0 using t-test, Pearson's correlation coefficients and logistic regression. Depression and anxiety was statistically significant. As a result of the multiple regression I. the factors affecting were self-injury attempt experience, gender. The results of regression model II with depression and anxiety were depression and gender. It is intended to present the necessity of a program related to predicting smartphone addiction of university freshmen.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.6
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• pp.3797-3806
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• 2015

A population decline in rural area is correlated with the number of household, with agricultural workers, as a result, affects the farming income. Agricultural population is a foundation of agriculture structure. Agricultural population decline influences agricultural policies to be implemented for the future and there is concern about slowdown in productivity. The purpose of this study is to build the ability to use the model and conduct applied analyses of various kinds and to make rational agricultural policies by forecasting and analyzing agricultural population change. Unlike previous studies, which have some assumptions about the giving-up farming rate (GFR) of the key points on the agricultural population model or, After estimating only one equation with respect to the total population, and then distribute by sex and age. This study was conducted to investigate the reactions are different from the farmhouse, gender, age by estimating giving-up farming rate (GFR) equations each gender & age. Through this research, we can find that Farm Population changes of the simulation can be performed for a variety of agricultural policy in conjunction with existing agricultural simulation models as well.

• Journal of Korean Society of Transportation
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• v.20 no.7
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• pp.143-153
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• 2002

본 연구는 교통사고의 발생원인에 대한 인식유형과 감소대책에 대한 인지 유형별 영향요인의 정도를 분석하기 위하여 수량화이론 II류와 CHAID 분석법을 이용하여 분류모델과 판별모델을 구축하였다. 수량화이론 II류에 의한 교통사고 발생원인에 대한 인식 유형별 영향요인 판별모델은 전체 적중률이 78.4%로 매우 높게 나타났다. 편상관계수는 설명변수의 항목 중 학력, 성별, 운전경력 년 수, 소유 차종의 순으로 영향을 미치고 외적 변수인 교통사고 발생원인에 대한 유형에서는 기여 정도가 교통단속 부재 > 교통체계 미비 > 승용차 과다 사용 >잘못된 의식 때문의 순으로 나타났다. 교통사고 감소 대책에 대한 인지유형별 영향요인 판별모델은 전체 적중률이 59.9%로 높게 나타났으며, 편상관 계수는 학력, 성별, 운전경력 연수, 연령의 순으로 영향을 미치고 있고, 외적 변수인 교통사고 감소 대책에 대한 유형에서는 기여 정도가 교통단속 강화 > 대중교통수단 이용 유도 > 교통체계 개선 > 의식 개혁의 순으로 나타났다. 또한 CHAID 분석법에 의한 교통사고 발생원인에 대한 인식 유형별 영향요인 분류모델에 있어서는 예측변수로 학력, 연령, 성별, 통행수단의 네 가지 변수가, 교통사고의 감소 대책에 대한인지 유형별 영향요인 분류모델에 있어서는 학력, 운전경력 연수, 성별 그리고 통행수단의 네 가지 변수가 카이제곱 통계량 이 5%의 유의수준에서 유의한 것으로 판단되었다. 교통사고 발생원인 인식과 감소 대책의 인지 유형에 대한 빈도분석과 교차분석은 의식과 관련한 유형이 가장 높게 나타났으나 판별.분류모델에서는 교통단속과 관련한 유형이 기여 정도가 높고 의식 관련 유형이 상대적으로 낮게 나타나는 등 반대양상을 보이고 있어 심리적으로 내재되어 있고 표면에 잘 드러나지 않았던 의식 수준의 낮음이 분류모델을 통해서 명확하게 드러났다.

• Journal of the Korean Society of Food Science and Nutrition
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• v.34 no.2
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• pp.196-201
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• 2005

The aim of this study was to confirm the validity of predictive equations for the calculation of basal energy expenditure (BEE). One hundred twenty female college students were participated in this study. The resting energy expenditure (REE) was measured by indirect calorimetry for 30 minutes following an 12 hour overnight fasting. Among the available equations for predict BEE, Harris-Benedict, WHO/FAO/UNU and Cunningham methods were selected. Body composition was estimated by bioelectrical impedance analysis (BIA) for the equation of predicted BEE. The mean of measured REE was 1257.2$\pm$147.9 kcal/day, while the predicted value by Harris-Benedict, WHO/FAO/UNU and Cunningham were 1373.3$\pm$45.4 kcal/day, 1290.0$\pm$61.7 kcal/day and 1187.6$\pm$49.2 kcal/day, respectively. The Cunningham equation was more closed to measured values than Harris-Benedict and WHO/FAO/UNU equation by the correlation coefficient. Comparing Pearson's correlation coefficients, fat-free mass (FFM), body surface area (BSA) and body weight were higher than others such as height, body mass index (BMI), fat and fat%. The FFM's correlation coefficient was the highest as 0.74. Thus, the conclusion of this study suggested that the main determinant of BEE was FFM, and we derived a prediction equation as follows: BEE=-569.86+48.27 (FFM).

• Journal of agricultural medicine and community health
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• v.39 no.3
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• pp.161-175
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• 2014

Objectives: This study investigates the prevalence of suicide ideation and its the related factors by gender among Korean adults. Methods: National cross-sectional data from the database of the first and second year of $5^{th}$ Korean National Health and Nutritional Examination Survey (KNHANES V-1, V-2) were used for this study. 13,165 adults (${\geq}20$ years) were included in this analysis. Results: The prevalence of suicide ideation was 9.8% for men, 18.9% for women. Renal failure, depression, melancholy, stress, perceived health status, and smoking were significant risk factors among both men and women for suicide ideation. Divorced, separated or widowed of marital status and severe physical activity were related factors of suicide ideation for men. Low educational attainment, and alcohol dependency were associated factors of suicide ideation for women. Conclusions: There was gender difference of prevalence and risk factors of suicide ideation. These gender differences should be considered for planning and implementing suicide prevention program.

• Journal of Navigation and Port Research
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• v.40 no.6
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• pp.375-384
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• 2016

This study aimed to specify Vessel Traffic System(VTS) operators' situational awareness(SA) tasks and examine differences in subjective ratings for three levels of SA. Data for relative frequencies of SA tasks were collected by using direct in field observation. Subjective rating scores were obtained using a questionnaire method and compared in terms of VTS operator's gender and length of service career. The results are as follows. First, it was found that the VTS operators perform information perception task elements more frequently than those for information integration and prediction. Second, VTS operators tended to show subjectively lower evaluation scores for prediction than information perception or integration. Third, male VTS operators rated their SA ability higher than females. Fourth, the male VTS operators more than 15 years of career service showed higher subjective rating scores than those with under 5 years of service. Female VTS operators with different levels of career service showed a similar level of subjective rating scores. These results suggest that the frequency of SA related tasks and subjective SA evaluation can differ in terms of SA levels and individual differences.

• Journal of Hospice and Palliative Care
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• v.17 no.2
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• pp.57-65
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• 2014

Purpose: Since most terminally ill cancer patients die of multiple organ failure, plasma endotoxin concentration levels may be used to predict the life expectancy. This study was performed to evaluate the clinical significance of endotoxin level in plasma as a prognostic factor for survival in patients with terminal cancer. Methods: This study was conducted with 56 terminally ill cancer patients, above 20 years old, from April 2009 through October 2009. Demographic characteristics, Karnofsky performance status, and survival time were evaluated. We analyzed blood levels of white blood cell hemoglobin, hematocrit, aspartate aminotransferase, alanine aminotransferase, c-reactive protein, total bilirubin and endotoxin in each patient. Results: We considered following variable for univariate analysis: plasma endotoxin level, sex, age, WBC, hemoglobin, hematocrit, AST, ALT, total bilirubin, CRP and severity of pain. Univariate analysis did not show a significant association between plasma endotoxin level and survival time. However, in a multivariate analysis with factors that were found to be significantly associated with survival sex, WBC count and total bilirubin level in univariate analysis, high levels of plasma endotoxin and short survival time were significantly related. Conclusion: Plasma endotoxin level could be used as a prognostic factor to predict the life expectancy of terminally ill cancer patients.

• Journal of Hospice and Palliative Care
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• v.15 no.2
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• pp.99-107
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• 2012

Purpose: Most terminally ill cancer patients die from cancer anorexia-cachexia syndrome. This study evaluated a prognostic role of plasma leptin levels in terminally ill cancer patients. Methods: This study enrolled 69 terminally ill cancer patients who were aged above 20 years old from July 2009 to July 2010. For univariate analysis, an association between leptin levels and patient's characteristics or other variables was examined using Spearman's correlation analysis, Wilcoxon's rank-sum test or Kruskal-Wallis test, as appropriately. For multivariable analysis, Cox's proportional hazard regression model was used to evaluate a clinical significance of plasma leptin levels as a prognostic factor and to determine factors which affect the risk of death in terminally ill cancer patients. Results: A statistically significant positive correlation between plasma leptin levels and survival time was found. Univariate Cox's proportional hazard regression analyses also showed a moderately significant association between plasma leptin levels and survival time. However, after adjusting variables for sex, white blood cell counts, total bilirubin, AST, ALT, albumin and CRP levels, plasma leptin levels were not significantly associated with survival time. Conclusion: No significant association was found between plasma leptin levels and survival time in terminally ill cancer patients. However, this study suggested a prognostic value of plasma leptin levels in gastrointestinal cancer patients.

• Journal of dental hygiene science
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• v.9 no.2
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• pp.181-187
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• 2009

Oral diseases may hinder people from living a healthy life by causing obstacles in the nutrition supply of the human body. This study aims at the found out the eating habits and recognition factors of people who are currently suffering from denial pain, and made a predictive modeling using neural network, which is a data mining. The oral health condition for maintaining and improving oral health has been examined and analyzed through a survey and the groups were divided based on the presence and the absence of dental pain. This study observed on eating habits, exercise and oral habits. The study results of neural network modeling input parameter was selected significant survival factors. As a result of making a predictive modeling using the neural network, the fitness of the predictive modeling of dental pain factors was 88.7%. As for the people who are likely to experience dental pain predicted by the neural network model, preventive measures including proper eating habits, education on oral hygiene, and stress release must precede any dental treatment.