• Journal of Preventive Medicine and Public Health
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• v.41 no.6
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• pp.407-412
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• 2008

Objectives: The purpose of this study was to evaluate the relationship of nonalcoholic fatty liver and cardiovascular risk factors. Methods: This study was conducted to investigate the association of nonalcoholic fatty liver and cardiovascular risk factors for adult men (n=2976) and women (n=2442) who were over 19 years old, after excluding the HBsAg(+) or anti-HCV(+) patients and the men and women with increased alcohol intake (men: 40g/week, women: 20g/week). Results: Compared with the normal liver subjects, the nonalcoholic fatty liver subjects showed a significantly increased frequency of abnormal systolic blood pressure (${geq}120mmHg$), fasting blood sugar (${\geq}100mg/dL$), total cholesterol ($({\geq}200 mg/dL$), triglyceride ($({\geq}150mg/dL$), high density lipoprotein cholesterol (<40 mg/dL), low density lipoprotein cholesterol ($({\geq}130g\; m/dL$) and abdominal obesity in men, and all these measures were significantly increased in the women except for abnormal HDL cholesterol. After adjusting for the body mass index, age, smoking, exercise and a nonalcoholic liver, the odds ratios of an abnormal waist hip ratio were 1.35(95% Confidence Interval=1.05-4.72) in the mild fatty liver, 1.61 (1.19-2.18) in the moderate fatty liver, 2.77(1.57-4.92) in the severe fatty liver compared with a normal liver. The adjusted odds ratios for abnormal fasting blood sugar were 1.26(1.03-1.53) in the mild fatty liver, 1.62(1.27-2.06) in the moderate fatty Iiver and 1.77(1.12-2.78) in the severe fatty liver. The adjusted odds ratios for abnormal triglyceride were 1.38(1.11-1.72) in the mild fatty liver, 1.73(0.33-2.24) in the moderate fatty liver and 1.91 (1.17-3.10) in the severe fatty liver of men. Adjusted odds ratios for abnormal triglyceride were 1.50(1.04-2.15) in mild, 1.71(1.07-2.68) in moderate, 1.81(0.69-4.38) in severe fatty liver of women. Conclusions: The nonalcoholic fatty liver subjects had more cardiovascular risk factors compared with the normal liver subjects. Thus, prevention and treatment of the nonalcoholic fatty liver is necessary by lifestyle modifications such as restriction of alcohol intake, no smoking, exercise and adequate eating habits.

• Research in Community and Public Health Nursing
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• v.9 no.2
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• pp.502-517
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• 1998

This research intends to survey family environment, health behavior and health status of the students in urban-rural elementary schools and analyze those factors comparatively, and use the result as basic material for school health teacher to teach health education in connection with family and regional areas. It also intends to improve a pupil's self-abilitiy in health care. The subjects involve 2,774 students of urban elementary schools and 583 student in rural ones, who were selected by means of a multi -stage probability sampling. Using the questionnaire and school documents, we collected data on family environment, health behavior and health status for 19 days. Feb. 2nd 1998 through Feb. 20th 1998. The R -form of Family Environment Scale (Moos, 1974) was used in the analysis of family environment(Cronbach's Alpha =0.80). Questionnaires of Health Behavior in School-aged children used by the WHO in Europe(Aaro et al., 1986) and the ones developed by the Health Promotion Committee of the Western Pacific(WHO, 1995)(adapted by long Young-suk and Moon Young-hee(1996)) were used in the analysis of health behavior, as well documents on absences due to sickness, school health room-visits, levels of physical strength, height, weight and degree of obesity were used to determine health status. In next step, We used them with an $X^2$-test, t-test, Odds Ratio, and a 95% Confidence Interval. 1. In two dimensions of three, family-relationship (t=3.41, p=0.001) and system -maintenances(t= 2.41, p=0.0l6) the mean score of urban children were significantly higher than those of rural ones. In the personal development dimension however, there was little significant difference. Assorting family environment into 10 sub-fields and analyzing them, we recognized that urban children were superior to rural children in the sub-fields of expressiveness (t =3.47, p=0.001), conflict (t=0.48, p=0.001), active-recreational orientation (t = 1.97, p=0.049) and organization (t=4.33, p=0.000). 2. Referring to the Odds Ratios of urban-rural children's health behaviors, urban children set up more desirable behavior than rural children wear ing safety belts (Odds Ratio =0.32, p=0.000), washing hands after meals(Odds Ratio = 0.43, p= 0.000), washing hands after excreting (Odds Ratio = 0.39, p=O.OOO), washing hands after coming - home ( Odds Ratio = 0.75, p = 0.003), brushing teeth before sleeping(Odds Ratio =0.45, p=0.000), brushing teeth more than once a day (Odds Ratio =0.73, p=0.0l2), drinking boiled water (Odds Ratio = 0.49, p=0.000), collecting garbage at home(Odds Ratio=0.31, p=0.000) and in the school(Odds Ratio =0. 67, p=0.000). All these led to significant differences. As to taking milk(Odds Ratio = 1.50, p=0.000), taking care of eyesight(Odds Ratio=1.41, p=0.001) and getting physical exercise in(Odds Ratio = 1.33, p=0.0l9) and outside the school(Odds Ratio = 1.32, p=0.005), rural children had more desirable behavior which also revealed a significant difference. There was little significant difference in smoking, but the smoking rate of rural children(5.5%) was larger than that of urban children(3.9%). 3. Health status was analyzed in terms of absences, school health room-visits, levels of physical strength, and the degree of obesity, height and weight. Considering Odds Ratios of the health status of urban-rural children, the health status of rural children was significantly better than that of the urban ones in the level of physical strength(t=1.51, p=0.000) and the degree of obesity(t=1.84, p=0.000). The mean height of urban children ($150.4{\pm}7.5cm$) is taller than that of their counterparts($149.5{\pm}7.9$), which revealed a significant difference (t =2.47, p=0.0l4). The mean weight of urban children($42.9{\pm}8.6kg$) is larger than that of their counterparts($41.8{\pm}9.0kg$), which was also a significant difference(t=2.81, p=0.005). Considering the results above, we can recognize that there are significant differences in family environment, health behavior, and health status in urban-rural children. These results also suggestion ideas for health education. What we would suggest for the health program of elementary schools is that school health teachers should play an active role in promoting the need and importance of health education, develop the appropriate programs which correspond to the regional characteristics, and incorporate them into schools to improve children's ability to manage their own health management.

• Journal of the Korean Data and Information Science Society
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• v.18 no.1
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• pp.185-194
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• 2007

The information of covariates are available to do fully efficient fractional imputation(FEFI). The new method, FEFI with logistic regression is proposed to construct complete contingency tables. Jackknife method is used to get a standard errors of log-odds ratio from the completed table by the new method. Simulation results, when covariates have more information about categorical variables, reveal that the new method provides more efficient estimates of log-odds ratio than either multiple imputation(MI) based on data augmentation or complete case analysis.

• 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.

• 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.

• The Korean Journal of Emergency Medical Services
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• v.25 no.3
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• pp.37-48
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• 2021

Purpose: Mortality due to trauma is relevant to both low-income and high-income countries. A diversity of causes leads to mortality such as, socioeconomic status and geographic factors. This study sought to differentiate between cases of mortality in a metropolitan city and a rural area, with data from critical trauma patients. Methods: Community-based severe trauma surveillance data from 2018 was used in this study. Logistic regression was conducted to compare the odds ratios between deaths that occurred in a metropolitan city and a rural area. Multiple logistic regression by controlling variables such as type of medical institution and injury severity score was conducted to estimate the effect on the trauma patients. Results: In total, 28,217 participants were selected as total population. We observed that the odds of death decreased as the level of the trauma center increased. Compared to the metropolitan city, the odds ratio of rural areas was 1.44. The odds ratio increased as the injury severity score increased. Conclusion: This study suggests that the mortality of critical trauma patients is higher in rural areas than in metropolitan cities. More studies are needed to expand on this.

• Journal of the Korean Society of Food Culture
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• v.39 no.1
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• pp.64-73
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• 2024

This study investigated associations between healthy dietary practices and the odds of prediabetes among Korean adolescents. The data of 1,624 adolescents aged 12 to 18 who participated in the 2017-2021 Korea National Health and Nutrition Examination Survey were analyzed. Healthy dietary practices were defined according to Health Plan 2030 criteria, and prediabetes was defined as a fasting blood glucose level of 100-125 mg/dL. After controlling for confounders, adjusting odds ratios and 95% confidence intervals (CIs) for prediabetes were determined for different healthy dietary practices using multivariable logistic regression analysis. Compared with adolescents who engaged in healthy dietary practices, those who did not had a 1.63-fold (95% CI: 1.12-2.37) higher odds of prediabetes. In addition, adolescents who did not consume ≥500 g of fruit and vegetables daily and those who refrained from reading nutritional fact labels, which are both sub-indicators of healthy dietary practices, had a 1.66 (95% CI: 1.05-2.62) and 1.58-fold (95% CI: 1.06-2.37) higher odds of prediabetes, respectively, than those who did. Increasing the proportion of adolescents engaging in healthy dietary practices, such as consuming ≥500 g of fruit and vegetables daily and reading nutritional fact labels when selecting food, is imperative.

• Journal of the Korean Society of School Health
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• v.8 no.1
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• pp.143-154
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• 1995

Korea has been recently reducing the quality of life as well as rising medical cost because of the increase of chronic diseases. But we can prevent those chronic diseases through the improvement of environment or life style. We evaluated the educational effectiveness of chronic diseases(hypertention, diabetes, cancer, stroke and other chronic diseases) designed to increase the knowledge, attitude and practice of chronic diseases among university students. Between August 1994 and November 1994, we implemented chronic diseases prevention instruction in intervention students; unmatched control students were selected in same university. We conducted pre- and post-intervention surveys both intervention and control students with self-reported questionnaires(50 items). We assigned score(0-4 points) to items and conducted a analysis of covariance(ANCOVA) with sex, grade and economic status as the covariate, using the SAS PC computer statistical package. And we culculated odds ratio with safety scores between intervention and control students. The results of this study were followed. 1. In demographic characteristics of subjects both pre- and post intervention, we found no significant differences in intervention and control students at religion, father's education, mother's education, mother's occupation and type of residence(p>0.05), but we found significant differences at sex(p<0.001), grade(p<0.001) and economic status(p<0.05). 2. The sex, grade and economic status-adjusted mean prevention knowledge scores for diabetes and stroke increased from the pre- to post-survey in the intervention students(p<0.001), but control students did not increased(p>0.05). As odds ratios in knowledge were below 1, the knowledge of intervention students were higher than control students. 3. The attitudes for general adult health increased from the pre- to post-survey in the intervention students(p<0.05), but control students did not increased(p>0.05). As odds ratios in attitudes were approximately 1, we can not say effectiveness in intervention students 4. The pratices for cancer and stroke increased from the pre- to post-survey in both the intervention and control students(p<0.001). Also odds ratio of hypertention was 0.91, and that of stroke was 1.14. 5. Health related behaviors did not increased from the pre- to post- survey in both the intervention and control students(p>0.05). But odds ratio of drinking was 0.76 and that of body weight was 1.21. 6. Health status did not increased from the pre- to post- survey in both the intervention and control students(p>0.05). As odds ratio of health status was 1.09, prevention education was not effect in intervention students We would like to recommend as follows; 1. University students must learn about prevention of chronic diseases. Because the knowledge of invetervention students was higher than that of control students. 2. The prevention education of chronic diseases should be taught from primary school. 3. Adult health education for university students must be practiced continuously. Education period(l5 weeks) in this study was not complete. 4. The evaluation of chronic diseases was conducted real measurement(such as BP check) as well as self reported-survey. 5. Educational materials(video tape, pamphlet) related the prevention of chronic diseases should be developed at national level. And we must easely use those materials. 6. The prevention education of chronic diseases should be made through mass media as well as school education.

• Journal of Preventive Medicine and Public Health
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• v.31 no.1 s.60
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• pp.59-71
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• 1998

To examine the association of hypertension with cluster of obesity, abnormal glucose and dyslipidemia in Korean urban population, we conducted this cross-sectional study among 3027 men and 2127 women age 20-85 years who visited a prevention center between May 1991 and June 1995 for a multiphasic health check at St. Mary's Hospital, Seoul. By the self-administered questionnaire, the informations of educational attainments, monthly income, alcohol consumption, cigarette smoking, and physical excercise level were obtained. Height, weight, and blood pressure were measured by a trained nurse. The fasting blood sugar (FBS), total cholesterol, high density lipoprotein (HDL) cholesterol and triglyceride were tested by enzyme method. Low density lipoprotein (LDL) cholesterol was calculated by 'total cholesterol - HDL cholesterol - triglyceride/5'. For testing the differences of cardiovascular risk factors between hypertension and normotension group, 1-test and $\chi^2$-test were performed. For the age adjusted odds ratios of hypertension in persons with obesity, abnormal glucose, and dyslipidemia compared with normal, logistic regression was performed by using SAS pakageprograme. The results obtained were as follows: 1. Age, weight, body mass index(BMI), blood glucose, total cholesterol, LDL cholesterol, and triglyceride of hypertension group in men and women were significantly higher than normotension group, but height and HDL cholesterol of hypertension group only in women significantly lower than normotension group. The frequency of obesity $(BMI\geq25kg/m^2)$, abnormal glucose $(\geq\;120mg/dl)$, hypercholesterolemia $(\geq\;240mg/dl)$, lower HDL cholesterol (<45 mg/dl in women only), higher LDL cholesterol $(\geq\;160mg/dl)$, and hyper hypertriglyceridemia $(\geq\;250mg/dl)$ in hypertension group of men and women were significantly higher than normotension group. 2. Systolic and diastolic blood pressure were negatively correlated with hight, but positively with age, weight, BMI, total cholesterol, LDL cholesterol, and triglyceride in men and women. BMI was positively correlated with fasting blood sugar, total cholesterol, LDL cholesterol and triglyceride but negatively with HDL cholesterol. 3. The age adjusted odds ratios of hypertension were as follows in men and women : among persons who were obese compared with those nonobese, 2.53 (95% Confidence Intervals [C.I.] 2.08-3.07) and 2.22 (95%C.I. 1.71-2.87): among persons who were abnormal glucose compared with those normoglycemic, 1.43 (95%C.I 1.13-1.82) and 2.01 (95%C.I 1.36-2.94): and among persons who were dyslipidemia (hypercholesterolemia or lower HDL cholesterol or higher LDL cholesterol or hypertriglyceridemia) compared with those normal lipid, 1.59 (95%C.I 1.30-1.95) and 1.51 (95%C.I 1.16-1.96). After combined more than one risk factor, the odds ratios were increased. Among persons with cluster of obesity, abnormal glucose, and dyslipidemia, the odds ratio of hypertension was 2.25 (95%C.I 1.47-3.37) in men and 3.02 (95%C.I 1.71-5.30) in women. In conclusion, it was suggested that hypertension was associated with cluster of obesity, abnormal glucose, dyslipidemia in this Korean urban population.

• Journal of the Korea Convergence Society
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• v.9 no.11
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• pp.153-159
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• 2018

The purpose of this study is to grasp the internet use time that young people use for purposes other than learning purpose, to grasp the perceived status of the youth according to internet use time and to grasp the interrelationships of them. Using the 2016 youth health behavior online survey, the odds ratios and 95% confidence intervals of perceived status according to internet use time were calculated by binary logistic regression analysis. The main results are as follows. In perceived health and perceived oral health the odds ratios of perceived who feel that they are perceived and unhealthy as the time spent using the Internet increased significantly compared to those who did not use the Internet for learning purposes. In the perceived body type, the odds ratio of being overweight increased significantly with longer internet use time. The odds ratios of perceived happiness were 1.19 times (CI = 1.10-1.30) higher than the perceived expectation of unhappiness when using the Internet for over 300 minutes. The use of the internet for a long time other than the purpose of learning may have a negative effect on the health and happiness of the youth, so we think that the recommended time for using the internet is necessary.