• Journal of agricultural medicine and community health
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• v.47 no.4
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• pp.255-267
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• 2022

Objectives: The purpose of this study was to analyze the factors affecting work-related musculoskeletal symptoms in farmers. Methods: In order to examine the factors affecting the musculoskeletal symptoms among farmers, data of 'Occupational Disease Survey for Farmers' was performed by the RDA(Rural Development Administration). Results: The odds ratio of work-related musculoskeletal symptoms among female farmers were 1.42(1.30-1.56) times higher than male farmers. The older aging and longer the agricultural work period, the higher odds ratio of musculoskeletal symptoms was shown. By major crops, all crop farmers showed higher odds ratio of musculoskeletal symptoms compared to rice crop farmers. As a result of examining the effective factors on the odds ratio of musculoskeletal symptoms by body parts, female farmers had higher odds ratio of musculoskeletal symptoms than male farmers by 1.38(1.26-1.51) times in waist, 1.58(1.44-1.74) times in knee, 1.32(1.05-0.67) times in hand/wrist, and 1.30(1.06-1.59) times in foot/ankle. By crops, animal husbandry farmers had higher odds ratio of musculoskeletal symptoms than rice crop farmers by 1.44(0.89-2.35) times in waist, and field crop farmers were 1.37(1.07-1.77) times higher in knee. Compared with rice crop farmers, odds ratio of the shoulder part the shoulder parts were 1.19(0.81-1.76) times higher in greenhouse crop farmers and 1.16(0.97-1.38) times higher in dry field crop farmers. Odds ratio of the hands/wrist parts were higher odds ratio of musculoskeletal symptoms than rice crop farmers by 1.69(1.00-2.87) times in greenhouse crop farmers. Conclusions: The results of this study would help to select the group that needs to be managed first, and could be used as basic data for the development of customized musculoskeletal disorders prevention programs.

• Journal of Korean Public Health Nursing
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• v.31 no.3
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• pp.478-491
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• 2017

Purpose: This study was conducted to determine whether alcohol drinking patterns (drinking frequency, drinking quantity, binge drinking frequency and risk drinking) were related to obesity and abdominal obesity. Methods: A total of 6,749 adult men from the sixth Korea National Health and Nutrition Examination Survey were evaluated. Multivariate logistic regression analyses were employed to determine if obesity and abdominal obesity was associated with alcohol consumption patterns after adjusting for covariates. Results: No relationship was observed between drinking frequency and obesity. The odds ratio vs. nondrinkers for obesity was significantly low for individuals who consumed 5 to 6 drinks per typical occasion and monthly binge drinking. However ${\geq}7$ drinks per typical occasion resulted in a significantly higher odds for obesity relative to nondrinkers. The odds ratio vs. nondrinkers for abdominal obesity was significantly lower in response to monthly binge drinking, whereas ${\geq}10$ drinks per typical occasion and daily binge drinking resulted in significantly higher odds for abdominal obesity. Risk drinking had higher odds for abdominal obesity than non-risk drinking. Conclusion: Although moderate alcohol drinkers have a lower prevalence of obesity and abdominal obesity than nondrinkers, higher drinking quantity and frequent binge drinking are indicators of a higher prevalence of obesity and abdominal obesity in men.

• Journal of the Korean Data and Information Science Society
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• v.22 no.2
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• pp.217-225
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• 2011

It is important to find risk factors associated with mental disorder. Also the hazard ratio that represent the relationship of risk factors with illness is main interest in medicine. Thus we used odds ratio to explore the relationship between mental disorder and risk factors. On this paper, when we applied Bayesian network to delirium of mental disorder, we selected major risk factors and calculated odds ratio. Especially we identified odds ratio of single risk factors and multiple risk factors.

• Korean Journal of Health Education and Promotion
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• v.26 no.4
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• pp.105-116
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• 2009

Objectives: In recent years, pregnancy rate among female adolescents has increased and caused a variety of physical and social problems. Therefore, this study aimed to investigate sexual behavior, delinquent behavior, and pregnancy rate among Korean female adolescents. Methods: In light of the growing interest in adolescent pregnancy, this study conducted a web-based survey, titled "The 2006 Youth Health Risk Behavior Survey." The Korean Center for Disease Control (KCDC) collected questionnaire responses from 34,200 young women. The collected data were analyzed through chi-square test and logistic regression using SPSS Win 14.0 version. Results: This study analyzed main factors, which can predict pregnant experience. The statistic results showed two types of the predicting factors: (1) personal factors: sexual relations after drinking (odds 25.1), Narcotic drug taking (odds 13.0), sexual violence act (odds 7.0), part-time job(odds 2.5), drinking, smoking ; and (2) environmental factors: stepfather(odds 4.2) and natural mother. Conclusion: The influential factor identification for predicting pregnancy rate is important to develop an effective education program for preventing the adolescent pregnancy. The education programs with referring to the identified factors can contribute to reducing the unwilling pregnancy rate of young woman.

• Communications for Statistical Applications and Methods
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• v.10 no.3
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• pp.779-793
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• 2003

In this paper, various methods for finding confidence intervals for common odds ratio $\psi$ of the K 2${\times}$2 tables are reviewed. Also we propose two jackknife confidence intervals and bootstrap confidence intervals for $\psi$. These confidence intervals are compared with the other existing confidence intervals by using Monte Carlo simulation with respect to the average coverage probability.

• The Journal of the Korean dental association
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• v.51 no.9
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• pp.511-517
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• 2013

To assess the association between oral health and general health, this study examined the relationship between chewing difficulty and twelve chronic health conditions such as hypertension, hyperlipidemia, diabetes, cerebro- and cardiovascular disease, musculoskeletal disease, respiratory disease, eye/nose/throat disease, stomach/intestinal ulcer, renal dysfunction, thyroid disease, depression, and cancer in Korea. The study population was 3,066 elders aged 65 years old and more from the fourth Korean National Health and Nutrition Examination Survey. Chewing difficulty was measured on a 5-point Likert scale. Chronic conditions were assessed by self-reported questionnaire. Confounders were age, gender, education, income, smoking, drinking, and obesity. Chi-square test, general linear model, and multiple logistic regression model were done with complex sampling design. Musculoskeletal disease (adjusted odds ratio=1.33), respiratory disease (adjusted odds ratio=1.52), and cancer (adjusted odds ratio=1.58) were independently associated with chewing difficulty. Multiple chronic conditions with more than 4 chronic disease showed significant association with chewing difficulty (adjusted odds ratio=1.37).

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.11a
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• pp.205-208
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• 2005

We have fuzzy hypotheses testing from Bayesian statistics with ideas from fuzzy sets theory to generalize Bayesian methods both for samples of fuzzy data and for prior distributions with non-precise parameters. Appling the principle of agreement index, the posterior odds ratio in the favor of hypotheses $H_0$ is equal to product of the fuzzy odds ratio and the fuzzy likelihood ratio. If the Posterior odds ratio exceeds the grade judgement, we accept the hypothesis $H_0$ for the degree.

• Journal of the Korean Data and Information Science Society
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• v.17 no.4
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• pp.1029-1039
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• 2006

There are different kinds of methods to estimate the odds ratio for unemployment statistics in small areas, namely, the composite estimator, the Woolf estimator and the Mantel-Haenszel estimator. We can compare the reliability of these estimators according to the bias and MSE. The estimation procedures considered by this study have been applied to estimate the bias and MSE of the odds ratio between the male and female unemployment rate in some small areas. The Woolf estimator or the Mantel-Haenszel estimator is more stable than the composite estimator, but all these three estimators are similar to each other from the aspect of efficiency.

• The Journal of Korean Physical Therapy
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• v.11 no.2
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• pp.123-130
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• 1999

Objectives : This study was to investigate the experience rate and factors related with Low Back Pain(LBP). Methods : Questionnaires were completed by 236 dental hygienists in Taegu city and Kyungpook province in June 23-27, 1999. The solicited information was used to estimate odds ration and $95\%$ confidence intervals for the LBP related factors association. Results : The experience rate of LBP was $78\%$. The experience rate of LBP was significantly associated with scaling posture(odds ratio=2.228)(p=0.0371) and stress with dentist(odds ratio=2.767) (p=0.0136). Conclusions : Data from this study support a statistically significant association between LBP and some factors found in other research to increase the relation with LBP. Study findings may have implications for targeting at dental hygienists for scaling posture education or intervention program.

• Journal of Korean Academy of Nursing
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• v.43 no.2
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• pp.154-164
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• 2013

Purpose: The purpose of this article is twofold: 1) introducing logistic regression (LR), a multivariable method for modeling the relationship between multiple independent variables and a categorical dependent variable, and 2) examining use and reporting of LR in the nursing literature. Methods: Text books on LR and research articles employing LR as main statistical analysis were reviewed. Twenty-three articles published between 2010 and 2011 in the Journal of Korean Academy of Nursing were analyzed for proper use and reporting of LR models. Results: Logistic regression from basic concepts such as odds, odds ratio, logit transformation and logistic curve, assumption, fitting, reporting and interpreting to cautions were presented. Substantial shortcomings were found in both use of LR and reporting of results. For many studies, sample size was not sufficiently large to call into question the accuracy of the regression model. Additionally, only one study reported validation analysis. Conclusion: Nursing researchers need to pay greater attention to guidelines concerning the use and reporting of LR models.