The purpose of this study was to investigate whether or not the clothing behavior of house-wives in Seoul vary depending on their socioeconomic status. The null hypotheses tested in this study were as follows: 1) There are no differences in housewives' attitudes toward the importance of clothing according to their socioeconomic status. 2) There are no differences in housewives' criteria of clothing choice according to their socioeconomic status. 3) There are no differences in housewives' clothing taste according to their socioeconomic status. 4) There are no differences in the pattern of housewives' clothing purchase according to their socioeconomic status. In order to test these null hypotheses, questionnaires on clothing behavior and socioeconomic status were distributed to a sample of 243 purposively selected housewives in Seoul, Korea. The factor analysis, correlation and analysis of variance techniques were employed for the statistical analysis of data. The results indicated that: 1) The attitudes toward the importance of clothing was related to socioeconomic status. 2) The criteria of clothing choice (aesthetics-practicality), clothing taste (individuality-conformity), and the pattern of clothing purchase (a degree of rationality) were not related to socioeconomic status. 3) The criteria of clothing selection was related to housewives' level of education. 4) Clothing taste was related to housewives' age.
Objectives: The aim of this study was to examine the geographic distribution of diabetes mortality in Japan and identify socioeconomic factors affecting differences in municipality-specific diabetes mortality. Methods: Diabetes mortality data by year and municipality from 2013 to 2017 were extracted from Japanese Vital Statistics, and the socioeconomic characteristics of municipalities were obtained from government statistics. We calculated the standardized mortality ratio (SMR) of diabetes for each municipality using the empirical Bayes method and represented geographic differences in SMRs in a map of Japan. Multiple linear regression was conducted to identify the socioeconomic factors affecting differences in SMR. Statistically significant socioeconomic factors were further assessed by calculating the relative risk of mortality of quintiles of municipalities classified according to the degree of each socioeconomic factor using Poisson regression analysis. Results: The geographic distribution of diabetes mortality differed by gender. Of the municipality-specific socioeconomic factors, high rates of single-person households and unemployment and a high number of hospital beds were associated with a high SMR for men. High rates of fatherless households and blue-collar workers were associated with a high SMR for women, while high taxable income per-capita income and total population were associated with low SMR for women. Quintile analysis revealed a complex relationship between taxable income and mortality for women. The mortality risk of quintiles with the highest and lowest taxable per-capita income was significantly lower than that of the middle-income quintile. Conclusions: Socioeconomic factors of municipalities in Japan were found to affect geographic differences in diabetes mortality.
PURPOSES : This study is to investigate the relationship of socioeconomic characteristics and road network structure with traffic growth patterns. The findings is to be used to tweak traffic forecast provided by traditional four step process using relevant socioeconomic and road network data. METHODS: Comprehensive statistical analysis is used to identify key explanatory variables using historical observations on traffic forecast, actual traffic counts and surrounding environments. Based on statistical results, a multiple regression model is developed to predict the effects of socioeconomic and road network attributes on traffic growth patterns. The validation of the proposed model is also performed using a different set of historical data. RESULTS : The statistical analysis results indicate that several socioeconomic characteristics and road network structure cleary affect the tendency of over- and under-estimation of road traffics. Among them, land use is a key factor which is revealed by a factor that traffic forecast for urban road tends to be under-estimated while rural road traffic prediction is generally over-estimated. The model application suggests that tweaking the traffic forecast using the proposed model can reduce the discrepancies between the predicted and actual traffic counts from 30.4% to 21.9%. CONCLUSIONS : Prediction of road traffic growth patterns based on surrounding socioeconomic and road network attributes can help develop the optimal strategy of road construction plan by enhancing reliability of traffic forecast as well as tendency of traffic growth.
Purpose: To analyze the frequency of emergency room visits according to socioeconomic factors of emergency room visitors. Methods: In this study, frequency analysis, percentage analysis, and x2 test were performed using the SPSS 23.0 program based on the 2018 data from the Korea Health Panel. Results: Among 1,648 participants included in this study, 1,279 visited the emergency room only once in the past year, while 369 visited the emergency room more than once. The relationship between frequency of emergency room visits and socioeconomic factors was analyzed using x2 test, and no statistically significant relationship was noted between emergency room visits and education, economic activity, insurance type, and individual quartile income. However, a significant relationship was noted between emergency room visits and being handicap and living in households with quintile income. Conclusion: The study determined the relationship between frequency of emergency room visits and socioeconomic factors. A follow-up study analyzing socioeconomic factors of outpatient departments, 119 ambulance transport services, and frequency of emergency room visits among chronically ill patients is needed to provide basic data for establishing health policies among different socioeconomic strata.
Objectives: There are at least three conceptual models for the effects of the childhood social environment on adult health: the critical period model, the social mobility model, and the cumulative risk model. However, few studies have investigated all three different models within the same setting. This study aims to examine the impact of childhood and adulthood socioeconomic positions and intergenerational social mobility over the life course on the health in adulthood based both on the critical period model and the social mobility model. Methods: This study was conducted on 9583 adults aged between 25 and 64 years old and they were the respondents to the Korea Welfare Panel Study (2006). A multivariate logistic regression analysis was carried out, using the critical period model and the social mobility model out of the life course approaches, to look into the impact of childhood and adulthood socioeconomic positions and intergenerational social mobility on the health status in adulthood. Results: Household income and occupation out of the adulthood socioeconomic position indicators had an independent influence on the adulthood health status. The childhood socioeconomic position indicators, except for the place of childhood residence, affected the adulthood health status even after adjustment for the adulthood socioeconomic position. The effect of intergenerational social mobility was also statistically significant even after adjusting for the adulthood socioeconomic position, but it became insignificant when the childhood socioeconomic position was additionally adjusted for. Conclusions: Adulthood health is indeed affected by both the childhood and adulthood socioeconomic positions as well as intergenerational social mobility. This result shows that a life course approach needs to be adopted when dealing with health issues.
Objectives: This study aimed to examined the socioeconomic disparities in oral health related behaviors and to assess if those behaviors eliminate socioeconomic disparities in oral health in a nationally representative sample of adults aged 30-64. Methods: Data are from the Korea Third National Health and Nutrition Examination Survey (2005). Behaviors were indicated by smoking, over intake of daily calories from carbohydrate, perceived stress, frequency of daily tooth brushing, use of oral hygiene goods, insufficient oral treatment. Oral health outcomes were self-reported dental caries and periodontitis during the last 12 months and perceived oral health. Education, household income, and employed status indicated socioeconomic position. Sex, age, residential area, marital status were adjusted for in the logistic regression analysis. Logistic regression analysis was used to assess socioeconomic disparities in behaviors. Logistic regression model adjusting and not adjusting for behaviors were compared to assess the change in socioeconomic disparities in oral health. Results: Clear socioeconomic disparities in all behaviors were showed. After adjusting for behaviors, the association between oral health and socioeconomic indicators attenuated but did not disappear. For example, the odd ratios of reporting poorer oral health for persons in no education or elementary school education and middle school education groups, compared with college or higher education group, were 1.77 (95% CI: 1.36-2.29) and 1.56 (1.19-1.97), respectively. After adjusting for all indicators of behaviors, these odds ratios attenuated to 1.54 (1.17-2.03) and 1.48 (1.15-1.91) for those groups, respectively. Conclusion: These findings suggest that the presence of more complex determinants of socioeconomic disparities in oral health should be considered with developing preventive policies for those disparities.
Objectives: The purpose of this study was to investigate the relationship between socioeconomic status and periodontal disease. Methods: The data used for the analysis were obtained from the sixth Korean National Health and Nutrition Examination Survey (2015). A total of 5,632 adults, aged over 19 years, were included in the study. This study analyzed data relating to socioeconomic status and health behaviors. The socioeconomic status was defined as an exogenous factor. Periodontal disease was the endogenous variable. Health behavior was a mediating variable. The study hypotheses were tested using Structural Equation Modeling analysis with Mplus 7.0 software. Results: According to the model fit test, the associated root-mean-square error was 0.05 (90% CI: 0.046-0.059); comparative fit index was 0.93; Tucker-Lewis index was 0.88; and standardized root-mean-square residual was 0.03. We found that socioeconomic status had significant effects on health behaviors (${\beta}=0.304$, p<0.001) and periodontal disease (${\beta}=-0.289$, p=0.001). Moreover, health behaviors had significant effects on periodontal diseases (${\beta}=0.143$, p<0.001). The analysis of a possible relationship between socioeconomic status and periodontal disease using path analysis demonstrated health behaviors difficulties, along with direct and indirect effects, further increased the risk of periodontal disease. Conclusions: The findings suggest that future interventions for the prevention of periodontal disease should consider health behavior.
Objectives: Socioeconomic inequality in metabolic syndrome (MetS) remains poorly understood in Iran. The present study examined the extent of the socioeconomic inequalities in MetS and quantified the contribution of its determinants to explain the observed inequality, with a focus on middle-aged adults in Iran. Methods: This cross-sectional study used data from the Ravansar Non-Communicable Disease cohort study. A sample of 9975 middleaged adults aged 35-65 years was analyzed. MetS was assessed based on the International Diabetes Federation definition. Principal component analysis was used to construct socioeconomic status (SES). The Wagstaff normalized concentration index (CIn) was employed to measure the magnitude of socioeconomic inequalities in MetS. Decomposition analysis was performed to identify and calculate the contribution of the MetS inequality determinants. Results: The proportion of MetS in the sample was 41.1%. The CIn of having MetS was 0.043 (95% confidence interval, 0.020 to 0.066), indicating that MetS was more concentrated among individuals with high SES. The main contributors to the observed inequality in MetS were SES (72.0%), residence (rural or urban, 46.9%), and physical activity (31.5%). Conclusions: Our findings indicated a pro-poor inequality in MetS among Iranian middle-aged adults. These results highlight the importance of persuading middle-aged adults to be physically active, particularly those in an urban setting. In addition to targeting physically inactive individuals and those with low levels of education, policy interventions aimed at mitigating socioeconomic inequality in MetS should increase the focus on high-SES individuals and the urban population.
Purpose: This study aimed to analyze the treatment outcomes according to the socioeconomic factor of patients who visited the emergency room. Methods: This study conducted frequency analysis, percentage analysis, and Fisher's exact test analysis method, using the R 4.1.2 program based on the 2019 data from the Korea Health Panel. Results: Among the treatment results of 1,648 patients, 392 patients were hospitalized or transferred to other hospitals, 845 were discharged after treatment, 224 were discharged, and 7 died. The Fisher's exact test of treatment outcomes and socioeconomic factors was not statistically significant for status of the worker and employment relationship, but was significant for the housing, household, economic activity, and insurance types, and marital status and education. Conclusion: The results of this study indicate that it is necessary to conduct follow up studies on socioeconomic factors to provide basic data that can contribute to fairness and equity in the health care field.
Objectives: This study aimed to analyze the relationship between the socioeconomic status and oral health of adults. Methods: Data from the 7th Korea National Health and Nutrition Examination Survey (2016-2018) were analyzed, and 13,199 adults aged 19 years or older were selected as study subjects. Various oral health indicators were used to analyze the effect of socioeconomic status on oral health. Disparities in oral health according to socioeconomic status were analyzed using the complex sample chi-squared test and multiple logistic regression analysis. Results: A statistically significant difference was observed between income level, medical aid, and all oral health indicators, which indicated that the lower the income level, the lower the oral health level (p<0.001). Furthermore, all oral health indicators displayed statistically significant differences, with the exception of the prevalence of dental caries and education level. The lower the education level, the lower the oral health level (p<0.001). Therefore, the oral health level of adults presented significant differences according to different socioeconomic status indicators. Conclusions: To prevent oral health inequalities, the government and local governments need to intervene not only in the field of health care but also in the social determinants. Additionally, concerted efforts should be made to eliminate oral health disparities by improving policies and systems.
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