No abstract available.
Odds Ratio*

The objective of this study was to describe the general approaches of dose-response meta-analysis (DRMA) available for the quantitative synthesis of data using the R software. We conducted a DRMA using two types of data, the difference of means in continuous data and the odds ratio in binary data. The package commands of the R software were “doseresmeta” for the overall effect sizes that were separated into a linear model, quadratic model, and restricted cubic split model for better understanding. The effect sizes according to the dose and a test for linearity were demonstrated and interpreted by analyzing one-stage and two-stage DRMA. The authors examined several flexible models of exposure to pool study-specific trends and made a graphical presentation of the dose-response trend. This study focused on practical methods of DRMA rather than theoretical concepts for researchers who did not major in statistics. The authors hope that this study will help many researchers use the R software to perform DRMAs more easily, and that related research will be pursued.
Hope ; Linear Models ; Odds Ratio

The objective of this study was to describe the general approaches of dose-response meta-analysis (DRMA) available for the quantitative synthesis of data using the R software. We conducted a DRMA using two types of data, the difference of means in continuous data and the odds ratio in binary data. The package commands of the R software were “doseresmeta” for the overall effect sizes that were separated into a linear model, quadratic model, and restricted cubic split model for better understanding. The effect sizes according to the dose and a test for linearity were demonstrated and interpreted by analyzing one-stage and two-stage DRMA. The authors examined several flexible models of exposure to pool study-specific trends and made a graphical presentation of the dose-response trend. This study focused on practical methods of DRMA rather than theoretical concepts for researchers who did not major in statistics. The authors hope that this study will help many researchers use the R software to perform DRMAs more easily, and that related research will be pursued.
Hope ; Linear Models ; Odds Ratio

BACKGROUND: In reporting results of case-control studies, odds ratios are useful methods of reporting findings. However, odds ratios are often misinterpreted in the literature and by general readers. METHODS: We searched all original articles which were published in the Korean Journal of Family Medicine from 1980 to May 2011 and identified those that report "odds ratios." Misinterpretation of odds ratios as relative risks has been identified. Estimated risk ratios were calculated when possible and compared with odds ratios. RESULTS: One hundred and twenty-eight articles using odds ratios were identified. Among those, 122 articles were analyzed for the frequency of misinterpretation of odds ratios as relative risks. Twenty-two reports out of these 122 articles misinterpreted odds ratios as relative risks. The percentage of misinterpreting reports decreased over years. Seventy-seven reports were analyzed to compare the estimated risk ratios with odds ratios. In most of these articles, odds ratios were greater than estimated risk ratios, 60% of which had larger than 20% standardized differences. CONCLUSION: In reports published in the Korean Journal of Family Medicine, odds ratios are frequently used. They were misinterpreted in part of the reports, although decreasing trends over years were observed.
Case-Control Studies ; Humans ; Odds Ratio

OBJECTIVES: Working conditions can exert influence on the physical, mental, and even social health of workers. Well-being is an appropriate index for the evaluation of a person's overall health. This paper investigated the association between various working conditions and worker's well-being. METHODS: Data from 10,019 interviews were collected from the second wave of the Korean Working Conditions Survey (2010) conducted by the Korea Occupational Safety and Health Agency between June and October 2010. The data from 5,995 employed workers were examined in this study. Well-being was measured through the WHO Five Well-Being Index (1998 version). Sociodemographic and working conditions were analyzed. Adjusted odds ratios for well-being were calculated with adjusted sociodemographic factors, working condition factors, or both. RESULTS: Workers' well-being was significantly higher when they were satisfied with their working conditions (OR = 1.656, 95% CI = 1.454-1.885), when their actual working hours were the same as their anticipated working hours (OR = 1.366, 95% CI: 1.120-1.666) or exceeding less than 10 hours (OR = 1.245, 95% CI: 1.004-1.543), and when their employment was stable (OR = 1.269, 95% CI: 1.098-1.467). CONCLUSIONS: This study supports the association between working condition factors and well-being in workers.
Employment ; Korea ; Occupational Health ; Odds Ratio

OBJECTIVE: Presenteeism has become a public concern recently. Thus, we aimed to understand the relationship between self-employed workers and presenteeism using a nationally representative sample of Korean workers. METHODS: Using data from the Korean Working Conditions Survey conducted in 2011, a total of 43,392 workers including paid employees and self-employed workers were analyzed. The effect of employment status on presenteeism was analyzed using logistic regression analysis. The independent variables were socioeconomic characteristics, working conditions, and working environments. RESULTS: Among the 43,392 workers, 34,783 were paid and 8,609 were self-employed. Self-employed workers were more likely to exhibit presenteeism than were paid workers. An elevated odds ratio of 1.27 (95% CI 1.19-1.36) was found for presenteeism among self-employed workers. CONCLUSION: Being self-employed was significantly related with exhibiting presenteeism. Additional research should investigate whether other factors mediate the relationship between employment status and presenteeism as well as ways to reduce presenteeism among self-employed workers.
Absenteeism ; Employment ; Logistic Models ; Odds Ratio

OBJECTIVES: This study was designed to integrate the results of community based studies which assessed a relationship between depression and alcoholism by meta-analysis. METHODS: We identified the previons studies and included in meta-analysis by searching MEDLINE. Overall, 21 results of the studies for relationship between depression and alcoholism were selected for quantitative meta-analysis. Before the integration of the each effect size of the relationship between depression and alcoholism, a homogeneity test was conducted. For the publication bias, we also conducted the analyses of funnel plot, normal quantile plot, rank correlation test and the fail-safe n. RESULTS: We used the random effect model to estimate the overall effect size, because the homogeneity of studies was rejected in a fixed effect model. Our quantitative meta-analysis yielded that integrated odds ratio between depression and alcoholism was 2.42 (95% C.I. 1.98-2.97). From the results of analyses of the publication bias, the probability of publication bias is considered low. CONCLUSION: The published evidences suggested that there may be a significant positive relationship between depression and alcoholism.
Alcoholism* ; Depression* ; Odds Ratio ; Publication Bias

OBJECTIVES: This study was designed to integrate the results of community based studies which assessed a relationship between depression and alcoholism by meta-analysis. METHODS: We identified the previons studies and included in meta-analysis by searching MEDLINE. Overall, 21 results of the studies for relationship between depression and alcoholism were selected for quantitative meta-analysis. Before the integration of the each effect size of the relationship between depression and alcoholism, a homogeneity test was conducted. For the publication bias, we also conducted the analyses of funnel plot, normal quantile plot, rank correlation test and the fail-safe n. RESULTS: We used the random effect model to estimate the overall effect size, because the homogeneity of studies was rejected in a fixed effect model. Our quantitative meta-analysis yielded that integrated odds ratio between depression and alcoholism was 2.42 (95% C.I. 1.98-2.97). From the results of analyses of the publication bias, the probability of publication bias is considered low. CONCLUSION: The published evidences suggested that there may be a significant positive relationship between depression and alcoholism.
Alcoholism* ; Depression* ; Odds Ratio ; Publication Bias

This study was carried out to assess the relationship between job characteristics(job strain) and psychosocial distress, and to find out the effect of social support on psychosocial distress. The study design was cross-sectional, and included 1,211 industrial workers in middle-sized city. A self-administered questionnaire measured job characteristics(jod demand, job control), and social support(coworker support, supervisor support) at work. Psychosocial distress was measured using PWI(Psychosocial Well-being Index), a 45-item self-administered instrument. Among the 1,211 respondents, the prevalence of psychosocial distress was 24.8%. High job strain (high job demand + low job control) was present in 8% of the subjects. The crude odds ratio of high job strain was 4.76 (95% CI : 2.60-8.74), and those of active group and passive group were 3.81(95% CI : 1.82-3.95) and 2.64(95% CI : 1.77-3.94), respectively. The odds ratios of each group adjusted for sex, age, support, and religion were still significant. Our results supported the association between job strain and psychosocial distress. Social support at work, although significantly associated with psychosocial distress, did not modify the association between job strain and psychosocial distress.
Surveys and Questionnaires ; Odds Ratio ; Prevalence ; Surveys and Questionnaires

The purpose of the study was to find out the age-adjusted odds ratio of the metabolic syndrome and the associated cut-off values of the physical fitnessfactors of the elderly males in their 60s and 70s. 477 participants were tested for the cardiorespiratory fitness (VO2max), power, flexibility as well as blood battery and abdominal circumference for the metabolic syndrome status. As a result, 32.2% of the participants had metabolic syndrome with the associated cut-off values of the power and flexibility as 29.0 cm (areas under curve [AUC]: 0.57, p=0.029) and 0.6 cm (AUC: 0.54, p=0.028), respectively. The cardiorespiratory fitness showed no significant difference prevalence rate between groups. The prevalence rate was calculated by dividing the participants into high and low groups. The metabolic syndrome prevalence rate for the low power group was 1.63 (p<0.030) and low flexibility group was 2.01 (p<0.002). The cardiovascular fitness showed no significant prevalence rate.
Aged ; Humans ; Male ; Odds Ratio ; Pliability ; Prevalence