• 대한예방의학회:학술대회논문집
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• 1994.02b
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• pp.154-157
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• 1994

The evaluation of diagnostic tests attempts to obtain one or more statistical parameters which can indicate the intrinsic diagnostic utility of a test. Sensitivity. specificity and predictive value are not appropriate for this use. The likelihood ratio has been proposed as a useful measure when using a test to diagnose one of two disease states (e.g. disease present or absent). In this paper, we generalize the likelihood ratio concept to a situation in which the goal is to diagnose one of several non-overlapping disease states. A formula is derived to determine the post-test probability of a specific disease state. The post-test odds are shown to be related to the pre-test odds of a disease and to the usual likelihood ratios derived from considering the diagnosis between the target diagnosis and each alternate in turn. Hence, likelihood ratios derived from comparing pairs of diseases can be used to determine test utility in a multiple disease diagnostic situation.

• Journal of Korean Society for Quality Management
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• v.24 no.1
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• pp.61-72
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• 1996

It is very important to determine the likelihood ratios and the prior odds for designing a Bayesian processor in Built-In-Test system. Using traditional statistics, it is not difficult to determine the initial prior odds from the field data. For a newly designed system, development testing data or laboratory testing data could be used to replace field data. The likelihood ratios which playa key role in the Bayesian processor must be carefully determined, based on laboratory testing and statistical techniques. In this paper, expressing and determining the likelihood ratios by Geometric areas, Test, and Analytical method will be presented.

• 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.

• Korean Journal of Health Education and Promotion
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• v.25 no.3
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• pp.1-19
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• 2008

Purpose: The research was performed to distinguish the group of users of the health promotion programs in health care center, to identify the characteristics of this group, and to investigate the factors that have influence on the use of the health programs. The specific research purposes are: First, to compare the group which uses the health promotion program of health care center and that which does not. Second, to analyze the factors that have influence on the use of the health promotion program. Method: This study was done from November 15th 2006 and March 30th 2007. The study subjects were Seoul and Provinces. Seoul was divided into 4 areas of eastern western, northern, and southern area. Provinces were Gimchon, Gumi and Sosan. From each area, one health care center was chosen from the ones that wanted to participate. Total number of observations was 994. The survey questionnaire consisted of individual, interpersonal, organizational, community, policy factors based on socio-ecological model. The analysis method was logistic regression. Results: Odds ratios of individual factors is sex(1.39), age(1.05), marriage status(1.71) severity(1.20). Odds ratios of interpersonal factors is use and support of family(1.96), use and support of resource persons like friends and neighbor(4.58). Odds ratios of organizational factors is the comfortness of space(0.74), the satisfaction of health care center facility(1.40), kindness of employ(1.97). Odds ratios of community factors is health care center program recognition(1.70). Odds ratios of policy factors is advertisement(4.69) and expense(1.42). Conclusion: Socio-ecological model of health promotion in health care center is obtained based on five factors and health planners should consider these determinants of health promotion program in health care center and develop intervention methods.

• Journal of Environmental Health Sciences
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• v.32 no.3
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• pp.199-206
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• 2006

Various heavy metals have been known for causing ischemic stroke. In order to describe the causative relationship between the blood levels of various heavy metals and stroke patients, 116 patients with stroke and 111 patients without stroke were selected from one Oriental medical hospital in Wonju, Korea. Total of 9 kinds of metals such as As, Cd, Co, Cu, Hg, Mn, Ni, Pb, and Zn were analyzed in blood from patients with and without stroke. There were no significant differences in the means of metal concentrations between the stroke and nonstroke patients except for the mean of Co concentration. In the case of Co, the means for stroke and non-stroke patients were 0.44 ug/l and 0.40 ug/l showing a significant difference at the level of p-value=0.05. The odds ratios for each metal ranged from 0.96 to 2.86. Most odds ratios were not significant but the odds ratio for Co, $2.86{\pm}1.49$ was significant, indicating that Co increases the risk of stroke by 2.86 times. In order to identify the specific risk level of stroke increased by a multiple interaction of metals, regression coefficients and odds ratio for a pair or multiple pair of metals were reanalyzed. However, all of regression coefficients and odds ratios were not significant. In conclusion, Co showed the significant level in blood from patients with stroke. In addition, the odds ratio of stroke was significantly different from other metals. Thus, it is considered that Co among various metals analyzed in this study is the important metal for increasing the risk of stroke.

• Journal of Preventive Medicine and Public Health
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• v.47 no.3
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• pp.158-168
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• 2014

Objectives: To identify and evaluate the trend of meal-skipping rates among Korean adolescents with their contributing causes and the influence of household income level on meal skipping. Methods: Using 2008, 2010, and 2012 data from the Korea Youth Risk Behavior Web-based Survey of 222 662 students, a cross-sectional study with subgroup analysis was performed. We calculated odds ratios for skipping each meal 5 or more times in a week by household socio-economic status using a multiple logistic regression model. The secular change in the meal-skipping rates by the students' family affluence scale was analyzed by comparing the meal-skipping students within each subgroup and odds ratios for the same event over time. Results: Through 2008 to 2012, most of the meal-skipping rates generally showed a continuous increase or were almost unchanged in both sexes, except for breakfast skipping in several subgroups. Students in low-income households not living with both parents had the highest meal-skipping rates and odds ratios for frequent meal skipping. In a time-series subgroup analysis, the overall odds ratios for the same event increased during 2008 to 2012, with a slight reduction in the gap between low and higher income levels with regard to meal skipping during 2010 to 2012. Conclusions: Household socio-economic status and several other factors had a significant influence on Korean adolescent meal-skipping rates. Although the gap in eating behavior associated with household socio-economic differences is currently decreasing, further study and appropriate interventions are needed.

• Korean Journal of Health Education and Promotion
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• v.30 no.2
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• pp.1-10
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• 2013

Objectives: The objective of this study was to assess the relationship between internet addiction and health behaviors & mental health among Korean adolescents. Methods: Data from the 2010 Korean Youth Risk Behavior Web-based Survey was analyzed. Using the Korean Internet Addiction Proneness Scale for Youth-Short Form: Self Report developed by the Korean National Information Society Agency in 2008, subjects were classified into 3 groups for internet addiction including general user, potential-risk group, and high-risk group. The health behaviors and mental health were compared among the groups for internet addiction by gender. Results: There was significantly higher prevalence of internet addiction including potential-risk group and high-risk group in boys(14.1%) than in girls(8.8%). There were significant odds ratios of perceived stress, perceived depression, perceived health and happiness, and satisfaction of sleeping in both genders at potential-risk group and high-risk group compared to general user for the internet addiction. The odds ratios of smoking at high risk group, alcohol drinking at potential risk group, eating breakfast at high risk group, and moderate physical activity at both risk groups among boys were significant. Among girls at both risk group, the odds ratios of smoking, alcohol drinking, and eating breakfast were significant. Conclusions: This study reveals a significant association among internet addiction, and health behaviors, and mental health in Korean adolescents.

• 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.

• Journal of the Korean Society of Food Science and Nutrition
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• v.27 no.1
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• pp.182-190
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• 1998

This study was conducted to compare food intakes between newly diagnosed diabetics and non-diabetics by food frequency questionnarie in adults in rural area. Food frequency questionnaire containing 65 food items was executed to 2,406 subjects over 30 years of age living inYeonchon-gun, Kyungki province. Frequency of consumption of each food items were divided into 9 categories ranging from 'over 3 tiemes a day' to 'never'. Fasting blood glucose levels were measured and 2-hour glucose tolerance test was administered for each subject. Newly diagnosed diabetics were identified as those with fasting blood glucose level ≥ 140mg/dl or 2-hour postprandial glucose level ≥200mg/dl and without previous diagnosis of diabetes. Intake frequencies of food items were compared between newly diagnosed diabetics and nondiabetics. For each food item examined, odds ratios for developing diabetes were calculated for people consuming more frequently, after adjusting for age, BMI and sex. Food intake frequencies were compared according to the occurrence of diabetes. Twenty four items were more frequently consumed by nonidabetics and 12 items were more frequently consumed by newly diagnosed diabetics. Odds ratios for diabetes were significantly lower for breads, biscuit, beef loin, beef tender loin, pork belly, fish paste, coffee, cola/cider, candy, beer, chongak kimchi, carrot, mushrooms and other white vegetables, banana, melon and juice. On the other hand, odds ratios for diabetes were higher for zucchini and garlic. Although this was a cross over prevalence study, the results indicate that consumption frequencies of several food items were related with the occurrence of diabetes in the study subjects.