• The Journal of Internal Korean Medicine
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• v.22 no.3
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• pp.423-430
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• 2001

Objects: The purpose of this case-control study was done to examine the relationship between stroke prevalence and the anthropometric indices(body mass index(BMI), modified Broca's method(Broca's index), waist circumference(WC), waist-hip ratio(WHR)), dyslipidemia, past medical history(heart disease, hypertension, diabetes mellitus(DM)), life-style factors(smoking, drinking) in Korean adults. Methods : The study group consisted of neurologically confirmed 116 stroke patients as the case group and 116 non-stroke patients as control group. Obesity were defined as $BMI{\geq}25kg/m^2,\;Broca's\;index{\geq}30%$, WC >94cm in male and WC >80cm in female, $WHR{\geq}0.9$ in male and $WHR{\geq}0.8$ in female. Oyslipidemia were defined as total $cholesterol{\geq}200mg/dl,\;triglyceride{\geq}200mg/dl,\;HDL-cholesterol {\leq}35mg/dl,\;LDL-cholesterol{\geq}160mg/dl$. Information on life-style factors and past medical history was obtained from personal interview. The analysis of the data was done by means of chi-square test(Pearson's chi-square test, Fisher's exact test) and student t-test. Results: The results were as follow. In the study group: Hypertension had a 4:05 odds ratio, Broca's $index{\geq}30%$ had a 1.98 odds ratio, WC >94cm in male had a 2.17 odds ratio, WC >80cm in female had a 2.80 odds ratio, $WHR{\geq}0.9$ in male had a 4.66 odds ratio, $WHR{\geq}0.8$ in female had a 5.35 odds ratio, but heart disease, DM, life-style factors, serum lipid and 8MI had no direct relationship with odds ratio(nonsignificant). By student t-test, risk factors for stroke were found to be total cholesterol(p=0,025), LDL-cholesterol(p=0.013), WC(p=0.000) and WHR(p=0.000). Conclusions: This study suggests that people should be advised to control hyperlitension, hyperlipidemia and obesity since these carry a risk of stroke.

• Transactions of the Society of Information Storage Systems
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• v.11 no.1
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• pp.16-21
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• 2015

An archive system is designed to store data for a long time without loss. However, many important factors such as temperature, dust, vibration, and humidity must be considered to design a successful archive system. Read/write devices, for example optical disk drives(ODDs), in an archive system generate heat while they are in operation. Fans are usually used to remove heat but the air flow accompanies dust into the system result in system failure. In this study, an archive system with six ODDs is chosen as an analysis model and flow together with temperature distributions are computed using a CFD simulation package. Flow analysis is focused on four cooling fans at the rear panel and temperature distribution is studied for various cases of fan operation. From the temperature point of view, fans give significant effects on $4^{th}$ to $6^{th}$ ODDs compared to the $1^{st}$ to $3^{rd}$ ODDs. Also, it is noticed which fan is the most important as far as cooling is concerned.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.6
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• pp.2375-2378
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• 2015

Background: The effects of diet on epidemiology of prostate cancer are inconclusive. Therefore a hospitalbased, case-control study was conducted in a rural population of Faisalabad, Pakistan, to examine the impact of dietary factors on risk of cancer development. Materials and Methods: This study was based on 102 confirmed cases of prostate cancer and 204 normal controls. Logistic regression was used to estimate odds ratios and 95% confidence intervals for odds ratios to evaluate the relationship between prostate cancer and diet. Results: Consumption of red meat and fat items significantly increased the prostate cancer risk having odds ratios and 95% confidence intervals of 3.41; 1.46-7.96 and 2.45; 1.17-5.15, respectively. On the other hand, more consumption of vegetables, fluid intake and fruit significantly decreased the prostate cancer risk (odd ratios and corresponding 95% confidence intervals of 0.21; 0.10-0.44, 0.10; 0.05- 0.19 and 0.09; 0.03- 0.23, respectively. Conclusions: The present study supports the hypothesis that frequent consumption of red meat and fat items may increase prostate cancer risk while more intake of fruit, vegetables and fluid intake may protect against prostate cancer in the relatively low risk group in rural Pakistan.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.23
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• pp.10237-10240
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• 2015

Background: Prostate cancer is the third most commonly diagnosed cancer among males in Pakistan but very little is known about risk factors among the Pakistani population. Therefore a hospital-based, case-control study was carried out in Faisalabad to identify potential risk factors. Materials and Methods: This study was based on 140 prostate cancer cases and 280 normal controls. Logistic regression was used to estimate odds ratios and 95% confidence intervals for odds ratios to assess the relationship between prostate cancer and different risk factors. Results: Family history of prostate cancer, age, smoking, obesity, consumption of red meat and frequent use of fat items significantly increased the prostate cancer risk (odds ratios and 95% confidence intervals of: 7.32; 1.79-29.8; 16.9, 5.60-50.8; 2.47, 1.17-5.18; 5.79, 2.66-12.6; 2.71, 1.07-6.91; and 3.39, 1.47-7.83, respectively. On the other hand, more consumption of fruit, fluid intake and better lifestyle (physical activity) significantly reduced the risk of developing prostate cancer with odd ratios and corresponding 95% confidence intervals of: 0.27, 0.11-0.61; 0.05, 0.02-0.12; and 0.28, 0.13-0.58. Conclusions: The results of the present study suggested that age, family history of prostate cancer, smoking, obesity, fluid intake, frequent use of fat items, consumption of fruits and better lifestyle might be associated with prostate cancer among Pakistani males.

• The Korean Journal of Applied Statistics
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• v.18 no.2
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• pp.471-485
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• 2005

For categorical data analysis, the collapsibility were explained with the odds ratio (cross-product ratio). When these theories with these odds ratios are applied to real $2{\times}2{\times}K$ contingency tables, it is impossible to decide whether data are collapsible. Among graphical methods to represent odds ratios, Contour plot which is developed by Doi, Nakamura and Yamamoto (2001) could explain the structure of these data, but cannot decide on the collapsibility. In this paper, by using the Raindrop plot proposed by Barrowman and Myers (2003), we suggest an alternative method which can not only explain the structure of data, but also decide on the collapsibility.

• The Korean Journal of Applied Statistics
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• v.19 no.1
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• pp.163-170
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• 2006

The argument concerning the choice of effect measure for epidemiologic data or clinic data has been renewed. But the relationships among effect measures can be confusing if effect measures are expressed by conventional mathematical functions alone. In this article, risk difference(RD), relative risk(RR), and odds ratios(OR) for binary data are presented by radar diagram instead of mathematical functions and the relationships among them are showed using radar diagram. This radar diagram is offered flexible conceptual tool to understand effect measures, DR, RR, and OR for binary data.

• Journal of Physiology & Pathology in Korean Medicine
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• v.31 no.3
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• pp.194-199
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• 2017

This study aimed to identify the effects of lifestyle on Mibyeong, and provide basic data for health promotion activities for management of Mibyeong. A total of 405 data were analyzed for Daejeon University employees from July, 2015 to Jan, 2016. In this study, we collected the data about sex, age, BMI, dietary habit, physical activity, smoking, drinking, and Mibyeong index. There was a difference between Mibyeong groups according to irregular eating, eating of night snack, and smoking for men, while overeating, irregular eating, and physical activity for women. Logistics regression analysis, adjusting for sex and age, was used to estimate related factors of Mibyeong. Compared to the healthy group, Mibyeong 2 group tended to overeat 4 times a week with odds ratio of 3.52, eat irregularly with odds ratio of 2.67, lack of physical activity with odds ratio of 3.30, and to smoke with odds ratio of 3.07. This study suggests that lifestyle, particularly dietary habit, physical activities, and smoking, might be significantly associated with Mibyeong. Good lifestyle could help prevent Mibyeong.

• Korean Journal of Health Education and Promotion
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• v.27 no.1
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• pp.1-8
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• 2010

Objectives: Human papillomavirus (HPV) infection is highly associated with cervical cancer. So, the modification of the risk factors of HPV infection is essential for prevention of cervical cancer. This study was performed to evaluate the risk factors of HPV infection. Methods: HPV test of 12,337 study population conducted using Hybrid-Capture II assay(HC-II) and self-administered questionnaires were collected. The study population was people who visited hospital-based medical screening center from January to December 2007 and all were female employees or employees' partner. Results: In logistic regression analysis, smoking and alcohol drinking were significant factors, with odds ratios of 1.328 (95% CI 1.010~1.746) and 1.644 (95% CI 1.309~2.066), respectively. Nutritional supplements was also significant factor, which odds ratio was 1.161 (95% CI 1.004~1.343). Oral contraceptives was positive association with HPV infection (odds ratio 2.108; 95% CI 1.217~3.652), whereas condom was negative association (odds ratio 0.851; 95% CI 0.740~0.979). Conclusion: HPV Prevalence of 12,377 study population was 11.4%. Smoking, alcohol drinking, nutritional supplements and oral contraceptives were possible risk factors of HPV infection, and condom had possible preventive effect on HPV infection. Further prospective and comprehensive studies about HPV risk factors are required.

• Journal of the Korean Data and Information Science Society
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• v.10 no.1
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• pp.29-36
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• 1999

We propose a new method of asymptotic inference on the odds ratio (or cross-product ratio) in $2{\times}2$ contingency table. Saddlepoint approximations to the conditional tail probability we used in this procedure. We assess the accuracy of the suggested method by comparing with the exact one. To obtain the exact values, we need very complicated calculations containing the cumulative probabilities of non-central hypergeometric distribution. The suggested method in this paper is very accurate even for small or moderate sample sizes as well as simple and easy to use. Example with a real data is also considered.

• The Korean Journal of Applied Statistics
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• v.34 no.5
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• pp.807-822
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• 2021

Various accuracy measures that can be explained on the odds curve are discussed, and an alternative accuracy measure, the maximum square, is proposed based on the characteristics of the odds curve. Thresholds corresponding to these accuracy measures are obtained by considering various probability distribution functions and an illustrative example. Their characteristics are discussed while comparing many kinds of statistics measuring thresholds. Therefore, we can conclude that optimal thresholds could be explored from the odds curve, similar to the ROC curve, and that the maximum square measure can be used as a good accuracy measure that can improve the performance of the binary classification model.