• Journal of Korean Academy of Nursing
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• v.38 no.3
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• pp.465-473
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• 2008

Purpose: Suicide has been considered a large public health concern in recent years because suicide mortality has been increasing rapidly. This study was done to investigate the prevalence and risk factors of a suicide attempt among adolescents in South Korea. Methods: The data of the 2006 Youth Health Risk Behavior web-based Survey collected by the Korean Center for Disease Control was analyzed using logistic regression for this study. Results: The prevalence of a suicide attempt was 5.2% in South Korea. The risk factors of a suicide attempt were suicidal ideation (odds 31.83), depression (odds 7.98), drug use (odds 4.67), currently smoking (odds 3.19), feeling unhappiness (odds 2.77), stress (odds 2.60), currently drinking alcohol (odds 2.39), sexual activity (odds 2.33), living with neither parent (odds 2.24), initial alcohol drinking by age 9 (odds 1.80), health status (odds 2.15), skipped breakfast (odds 1.75), disease (odds 1.65), and school records (odds 1.22). Conclusion: Suicide screening and prevention programs should be developed, considering these risk factors. Suicide prevention programs should be applied to the at risk population prior to a suicide attempt.

• Journal of the Korean Society of School Health
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• v.22 no.2
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• pp.13-23
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• 2009

Purpose: Suicide was considered as a big public health concern in recent years because suicide mortality has been increased rapidly. This study was to investigate the prevalence and risk factors of suicidal ideation among adolescents in South Korea. Methods: The data of 2007 Youth Health Risk Behavior Web-based Survey collected by Korean Center for Disease Control were analyzed using logistic regression for this study. Results: The prevalence of suicidal ideation was 23.7% in South Korea. The risk factors of suicide ideation were depression (odds 8.43), perceived stress(odds 4.30), drug use (odds 2.47), sexual intercourse(odds 2.36), present smoking (odds 1.76), present alcohol drink (odds 2.39), feeling unhappiness (odds 2.89), living with none of parents (odds 1.71), gender(odds 1.72), health status (odds 1.66), and socioeconomic status (odds 2.0). Conclusion : Health risk behaviors and mental health status were related to suicide ideation. Health risk behavior such as smoking and drinking prevention programs and mental health promotion programs should be implemented to decrease suicide ideation among adolescents. Suicide, mental health and health risk behaviors should be prevented through comprehensive health promotion programs.

• Journal of Preventive Medicine and Public Health
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• v.24 no.2 s.34
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• pp.221-231
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• 1991

A case-control study was conducted to investigate the risk factors (Part of job, Obesity, Alcohol, Smoking, Milk, Salt. and Family history) for hypertension. We selected 330 hypertension cases (male;247, female;83) and 1,336 controls (male;887, female;449) from employees in Taegu city from 1 May to 30 November, 1908. Data was analysed using a logistic regression model. Statistically significant elevated odds ratio were noted for alcohol (odds ratio=3.23), obesity (odds ratio=2.31), salt(odds ratio=1.75) in male (p<0.05) and those in female were noted for alcohol (odds ratio=16.49), family history(odds ratio=3.70), obesity (odds ratio=1.74) and salt (odds ratio=1.73) (p<0.05). Statistically significant reduced odds ratio was noted for milk in both sexes (odds ratio=0.69 for male and 0.65 for female)(p<0.05) and the dose-response relationship between milk intake and hypertension was confirmed (p<0.05). Therefore, milk seems to be preventive factor for hypertension. Smoking was not significantly associated with hypertension in both sexes. The part of job was significantly associated with hypertension in female by simple analysis (P<0.05) but the relationship was disappeared when multivariate analysis (logistic regression analysis) was done.

• Child Health Nursing Research
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• v.7 no.4
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• pp.483-493
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• 2001

This study is attempted to define risk factor of youth runaway impulse and to structure forecast model through an extensive analysis of the factors influencing the runaway impulse of youth. The subjects were 610 high school students in Seoul and Kyunggido. The collected data was analysed by SAS. The differences between the runaway impulse group and the non-runaway impulse group were subject to chi-square and t-test. Also logistic regression analysis was conducted on the basis of purposeful selection method for constructing the forecast model. The findings are as follows : the major predicting factors of youth runaway impulse are sex(odds ratio=1.886, p=.009), existence of friends of the opposit sex(odds ratio=2.011, p=.007), anti-social personality(odds ratio= 4.953, p=.000), depressive trend(odds ratio= 2.695, p=.000), family structure(odds ratio= 5.381, p=.000), marital relationship(odds ratio =1.893, p=.009) and also between parents and youth(odds ratio=3.877, p=.000), emotional abuse(odds ratio=1.963, p=.003), authoritative controlled rearing(odds ratio=2.135, p=.005) and stress from school(odds ratio=1.924, p=.008). Therefore, the forecast model will be contribute to the nursing intervention for prevention of runaway youth.

• Physical Therapy Korea
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• v.6 no.3
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• pp.82-93
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• 1999

Stroke is a serious disease despite recent improvement in medical and surgical treatment. Hence, identification of modifiable risk factors for stroke is important. This case-control study was done to demonstrate that relationship between smoking, alcohol consumption, obesity, perception of saltness and the incidence of stroke and to identify that smoking, alcohol consumption, obesity and perception of saltness, after adjusting for age, hypertension. A structured interview was carried out from April 15, 1996 to May 3, 1996 in Yonsei Medical Center. The study group consisted of 59 neurologically confirmed stroke patients as the study group and 59 non-stroke patients as controls. Analysis of the data was done by means of ${\chi}^2$-test and logistic regression analysis. The results were as follows. In the study group: 1) Hypertension in males had a 10.2 odds ratio (p<0.05), cardiovascular disease in females had a 11.3 odds ratio (p<0.05) and a farnily history of stroke in males had a 3.1 odds ratio (p<0.05). 2) Females smoking one or more cigarettes had a 8.3 odds ratio (p<0.1), but males had no direct relationship with odds ratio of 1.5 (non-significant). 3) Alcohol consumption in males had a 0.4 odds ratio, and in females had a 0.8 odds ratio. The odds ratio was decreased in alcohol consumption group (non-significant). 4) Males with more than 20 cigarettes pack-years history had a 2.5 odds ratio (p<0.05), more than 25 Body Mass Index had a 3.1 odds ratio (p<0.05) and more than 220 ml ethanol weekly consumption had a 1.5 odds ratio (non-significant). 5) Female smokers had a 8.3 odds ratio (p<0.1), drinkers a 0.8 odds ratio and more than 25 Body Mass Iidex, a 43.1 odds ratio (p<0.05). 6) Females without saltness perception from a 0.5% salt solution had a 6.8 odds ratio (non-significant). 7) By logistic regression analysis independent risk factors for stroke in males were found to be hypertention, age, and obesity. The study was limited because number of subjects was too small for practical implications. However, like as other results, this study suggest that people should be advised to control hypertension, and obesity since these carry a risk of stroke.

• The Korean Journal of Applied Statistics
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• v.34 no.2
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• pp.225-238
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• 2021

The ROC, TOC, and TROC curves, which are visually descriptive methods of exploring the performance of the binary classification model, are implemented with TP, TN, FP, FN which consist of the confusion matrix, as well as their ratios TPR, TNR, FPR, FNR. In this study, we consider two types odds and then propose an odds curve representing these odds. And show the relationship between the odds curve and ROC curve. Based on the odds curve, we propose not only two statistics that measure the discriminant power of the odds curve but also the criteria for validation ratings of the odds curve. According to the shape of the odds curves, two classification distributions can be estimated and a criterion for validation ratings can be determined. The odds curve can be meaningfully used like other visual methods, and two kinds of measures for the discriminant power can be also applied together as an alternative criterion.

• Journal of the Korean Statistical Society
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• v.16 no.2
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• pp.92-101
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• 1987

Our interest is to access in some way teh relative odds or probability that a multivariate observation Z belongs to one of k multivariate normal populations with unequal covariance matrices. We derived the empirical Bayes posterior odds ratio for the classification rule when population parameters are unknown. It is a generalization of the posterior odds ratio suggested by Gelsser (1964). The classification rule does not have complicated distribution theory which a large variety of techniques from the sampling viewpoint have. The proposed posterior odds ratio is compared to the Gelsser's posterior odds ratio through a Monte Carlo study. The results show that the empiricla Bayes posterior odds ratio, in general, performs better than the Gelsser's. Especially, for large dimension of Z and small training sample, the performance is prominent.

• Journal of the Korean Data and Information Science Society
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• v.17 no.4
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• pp.1067-1076
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• 2006

Although the proportional hazards model is the most common approach used for studying the relationship of event times and covariates, alternative models are needed for occasions when it does not fit data. In the two-sample case, proportional odds models are useful for fitting data whose hazard rates converge asymptotically. In this thesis, we propose a new estimator of the relative odds ratio of the proportional odds model when two independent random samples are observed under uncensorship. We prove the asymptotic normality and consistency of the estimator by using martingale-representation. The efficiency of the proposed is assessed through a simulation study.

• Journal of the Korean Statistical Society
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• v.25 no.3
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• pp.381-391
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• 1996

In the analysis of contingency table with ordered categories, the relationship between odds for adjacent categories has received con-siderable interest. We consider likelihood ratio tests of independence against an order restriction on odds in 2 $\times$ k contingency tables.

• 한국디지털정책학회:학술대회논문집
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• 2006.12a
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• pp.327-336
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• 2006

The odds ratio is used for assessing the disease-exposure association, because epidemiological data for case-control of cohort studies are often summarized into 2 ${\times}$ 2 tables. In this paper we define the odds ratio function(ORF) that extends odds ratio used on discrete survival event data to continuous survival time data and propose estimation procedures with censored data. The first one is a nonparametric estimator based on the Nelson-Aalen estimator of comulative hazard function, and the others are obtained using the concept of empirical odds ratio. Asymptotic properties such as consistency and weak convergence results are also provided. The ORF provides a simple interpretation and is comparable to survival function or comulative hazard function in comparing two groups. The mean square errors are investigated via Monte Carlo simulation. The result are finally illustrated using the Melanoma data.