BACKGROUND: The health of the economically active population contributes to increased corporate productivity by reducing the productivity loss caused by disease and increasing job efficiency, which in turn is a national benefit. Since the economically active population is a concept encompassing workers and a source of economic development for a country, that population's health should be treated with importance not only from a personal standpoint but also at a national level. METHODS: In this study, data of 11,007 adults aged 20 years and older who participate in economic activities were analyzed in the five-year Korea Health Panel Study from 2010 to 2014 including the number of dental visits and dental medical expenses. RESULTS: Factors related to “gender,” “education level,” “age,” “duty category,” “income level,” “employment type,” “national health insurance,” and “chronic disease status” of the economically active population are affected in relation to the number of visits and dental medical expenses. The number of dental visits increased with higher education levels (p<0.001), and the number of visits to the dentist increased with older age (p <0.001). Dental medical expenses were 91,806 Korean won (KRW) more for “white-collar workers” than for “blue-collar workers” (p<0.03), and 127,674 KRW more for “regular workers” than for “atypical workers” (p<0.02). CONCLUSION: When it is necessary to improve policies to enhance the efficiency of the distribution of health and medical resources in the overall balance of the dental health sector, we should try to identify various factors of oral health disorder due to income inequality among the classes according to the country's employment type in order to find ways to reduce the health gap among the social classes.
Adult ; Dentists ; Economic Development ; Education ; Efficiency ; Employment ; Humans ; Korea ; Oral Health ; Social Class ; Socioeconomic Factors

OBJECTIVES: This study aims to investigate the relationship between the total injury experience rate and socioeconomic status based on the fourth Korea National Health and Nutrition Examination Survey (KNHANES). METHODS: By analyzing data from the fourth KNHANES conducted from 2007 to 2009, we estimated the injury experience rate according to socioeconomic status, including the occupational characteristics of 11,837 subjects. Setting the injury experience rate as a dependent variable and socioeconomic status as an independent variable, we performed logistic regression to calculate odds ratios reflecting the likelihood of injury according to socioeconomic status while controlling for relevant covariates. RESULTS: In 797 subjects who had injury experience over the past 1 year, 290 persons (36.4%) had a work-related injury. As their income, home value, and educational status increased, their injury experiences decreased. Among occupational groups, the craft, equipment, machine operating, and assembling workers showed the highest rate (10.6%) of injury experience, and the lowest rate (5.7%) was found in the unemployed group. After adjusting for the confounding variables, the experience of injury was significantly related to several socioeconomic factors: high income (OR = 0.54; 95% CI: 0.34-0.86), high home value (OR = 0.65; 95% CI: 0.43-0.96), low education status (OR = 1.28; 95% CI: 1.07-1.52), and specific occupations such as craft, equipment, machine operating, and assembling work (OR = 1.99; 95% CI: 1.60-2.47), skilled agriculture, forestry and fishery work (OR = 1.43; 95% CI: 1.02-2.01), and simple labor (OR = 1.38; 95% CI: 1.04-1.82). CONCLUSIONS: The injury experience rate differed depending on the socioeconomic status. A negative correlation was found between the injury experience rate and income, low home value, and education level. Moreover, a higher rate of injury experience was found in occupation groups and physical worker groups in comparison to the unemployed group and white-collar worker groups. This study would be useful in selecting appropriate priorities for injury management in Korea.
Agriculture ; Confounding Factors (Epidemiology) ; Education ; Educational Status ; Fisheries ; Forestry ; Humans ; Korea ; Logistic Models ; Nutrition Surveys* ; Occupational Groups ; Occupations ; Odds Ratio ; Social Class* ; Socioeconomic Factors

The prevalence of obesity has been increasing worldwide, which raises concerns about the disease burden associated with obesity. Socioeconomic status (SES) has been suggested to be associated with obesity and obesity related diseases. This study aimed to evaluate the time trend in socioeconomic inequality in obesity-related mortality over the last decade in Korean population. We evaluated the influence of education level, as an indicator of SES, on obesity-related mortality using death data from the Cause of Death Statistics and the Korean Population and Housing Census databases. The rate ratio of the mortality of people at the lowest education level as compared with those at the highest education level (relative index of inequality [RII]) was estimated using Poisson regression analysis. Between 2001 and 2011, RII (95% confidence interval) for overall obesity-related disease mortality increased from 2.10 (2.02–2.19) to 6.50 (6.19–6.82) in men, and from 1.94 (1.79–2.10) to 3.25 (3.05–3.45) in women, respectively. Cause-specifically, the same trend in RII was found for cardiovascular mortality and mortality from diabetes mellitus, whereas the RII of mortality from obesity-related cancers in men did not show the similar trend. Subgroup analysis stratified by age revealed that the RII of obesity-related mortality was much higher in younger people than in older people. In conclusion, there has been persistent socioeconomic inequality in obesity-related mortality in Korea, which was more evident in younger people than in older people and has been deepened over the last decade especially for cardiovascular disease and diabetes.
Cardiovascular Diseases ; Cause of Death ; Censuses ; Diabetes Mellitus ; Education ; Educational Status ; Female ; Housing ; Humans ; Korea* ; Male ; Mortality* ; Obesity ; Prevalence ; Social Class ; Socioeconomic Factors*

OBJECTIVES: In India, both communicable and non-communicable diseases have been argued to disproportionately affect certain socioeconomic strata of the population. Using the 60th (2004) and 71st (2014) rounds of the National Sample Survey, this study assessed the balance between infectious diseases and cardiovascular diseases (CVD) from 2004 to 2014, as well as changes in the disease burden in various socioeconomic and demographic subpopulations. METHODS: Prevalence rates, hospitalization rates, case fatality rates, and share of in-patients deaths were estimated to compare the disease burdens at these time points. Logistic regression and multivariate decomposition were used to evaluate changes in disease burden across various socio-demographic and socioeconomic groups. RESULTS: Evidence of stagnation in the infectious disease burden and rapid increase in the CVD burden was observed. Along with the drastic increase in case fatality rate, share of in-patients deaths became more skewed towards CVD from 2004 to 2014. Logistic regression analysis demonstrated a significant shift of the chance of succumbing to CVD from the privileged class, comprising non-Scheduled Castes and Tribes, more highly educated individuals, and households with higher monthly expenditures, towards the underprivileged population. Decomposition indicated that a change in the probability of suffering from CVD among the subcategories of age, social groups, educational status, and monthly household expenditures contributed to the increase in CVD prevalence more than compositional changes of the population from 2004 to 2014. CONCLUSIONS: This study provides evidence of the ongoing tendency of CVD to occur in older population segments, and also confirms the theory of diffusion, according to which an increased probability of suffering from CVD has trickled down the socioeconomic gradient.
Cardiovascular Diseases* ; Communicable Diseases ; Diffusion ; Educational Status ; Family Characteristics ; Health Expenditures ; Hospitalization ; Humans ; India* ; Logistic Models ; Mortality ; Population Groups ; Prevalence ; Social Class ; Socioeconomic Factors

Blood Pressure Monitoring, Ambulatory ; COVID-19/therapy* ; Cardiac Rehabilitation ; Cardiovascular Diseases/therapy* ; Communicable Disease Control ; Contact Tracing ; Health Literacy ; Health Services Accessibility ; Healthcare Disparities ; Humans ; Internet Access ; Poverty ; SARS-CoV-2 ; Singapore ; Social Class ; Social Conditions ; Socioeconomic Factors ; Telemedicine ; Telerehabilitation ; Transients and Migrants

PURPOSE: Asthma is one of the most common chronic conditions, and its prevalence has been increasing in recent decades. Social economic status is a well-known risk factor for asthma. This study was performed to investigate the relationship between social economic status and asthma in Korean children. METHODS: Data were acquired from 4,397 children, aged under 18 years who participated in the Fifth Korea National Health and Nutrition Examination Surveys, which was conducted from 2010 to 2012. The presence of asthma was based on self-reported, physician-diagnosed asthma in the Health Interview Surveys. RESULTS: The prevalence of pediatric asthma was 5.3%, while the prevalence of atopic dermatitis in children was 14.0%. In univariate analysis, asthmatic children tended to be male, to be older, to have asthmatic mothers, to suffer from atopic dermatitis and to live in urban areas (P < 0.05). The parents' marital status, employment status, education level, and the number of household members were not associated with pediatric asthma. In logistic regression analysis, older age, male sex, maternal asthma, pediatric atopic dermatitis, and urban residence were associated with a higher prevalence of childhood asthma (P < 0.01). CONCLUSION: Socioeconomic status was not an important risk factor for asthma in Korean children in our study. It is conceivable that socioeconomic factor could affect the asthma prevalence in a different manner in each country. Further studies are warranted to explore mechanisms responsible for the association between socioeconomic status and asthma in children.
Asthma* ; Child* ; Dermatitis, Atopic ; Education ; Employment ; Family Characteristics ; Humans ; Korea* ; Logistic Models ; Male ; Marital Status ; Mothers ; Nutrition Surveys* ; Prevalence ; Risk Factors ; Social Class ; Socioeconomic Factors

BACKGROUND: It has been pointed out that prolonged television (TV) viewing is one of the sedentary behaviors that is harmful to health; however, the association between socioeconomic status (SES) and prolonged TV viewing time has not been sufficiently investigated in Japan. METHODS: The study population are the participants of NIPPON DATA2010, which is a prospective cohort study of the National Health and Nutrition Survey 2010 in Japan. They were residents in 300 randomly selected areas across Japan. This study included 2752 adults. SES was classified according to the employment status, educational attainment, living status, and equivalent household expenditure (EHE). Prolonged TV viewing time was defined as more than or equal to 4 h of TV viewing per day. Multivariable logistic regression analyses were conducted to examine the association of SES with prolonged TV viewing time. RESULTS: The mean TV viewing time was 2.92 h in all participants. Of 2752 participants, 809 (29.4%) prolonged TV viewing, and the mean TV viewing time of them was 5.61 h. The mean TV viewing time in participants without prolonged TV viewing time was 1.81 h. The mean TV viewing time was prolonged as age classes increased and significantly longer in aged ≥60 years. Prolonged TV viewing time was associated with not working for all age classes and sexes. Only among women, education attainment and living status were also associated with prolonged TV viewing time. For education attainment, the lower the received years of education, the higher odds ratios (OR) of prolonged TV viewing time. For living status, in women aged <60 years, living with others had a significantly higher OR compared to living with spouse. On the other hand, in women aged ≥60 years, living alone had a significantly higher OR. EHE did not have any significant associations with prolonged TV viewing time. CONCLUSIONS In a general Japanese population, it should be noted that the association between SES and prolonged TV viewing time differed by age and sex. Particularly, it must draw attention to the prolonged TV viewing in elderly. The intervention in order to shorten TV viewing time needs to consider these attributes.
Adolescent ; Adult ; Aged ; Aged, 80 and over ; Child ; Child, Preschool ; Educational Status ; Female ; Humans ; Infant ; Japan ; Male ; Middle Aged ; Prospective Studies ; Sedentary Behavior ; Sex Factors ; Social Class ; Socioeconomic Factors ; Television/statistics & numerical data* ; Young Adult

No abstract available.
Socioeconomic Factors

No abstract available.
Socioeconomic Factors*

Tackling socioeconomic inequalities in health risk factors is an important pathway for alleviating health inequalities. The aim of this study was to analyze the current state of inequality in health risk factors by socioeconomic status in Korea through a literature review of recently published studies and description of secondary data from the Korea National Health and Nutritional Examination Survey (KNHANES). We evaluated the extent and trends of socioeconomic inequalities in health behavior (smoking, high-risk alcohol drinking, moderate exercise, and nutritional deficiency) and clinical risk factors (hypertension, diabetes mellitus, hypercholesterolemia, and obesity) with 1998 to 2010 KNHANES data based on socio-economic status. Furthermore, we summarized the impact of several distal health determinants like income, education and occupation, and childhood period on health inequalities in Korea. The results showed that a wide range of health risk factors including more distal causes were socio-economically patterned to varying degrees. In order to reduce health inequalities by socioeconomic status, more comprehensive monitoring and measures, and well-designed studies are required for promoting the understanding of the causal pathway and developing interventional strategies.
Alcohol Drinking ; Diabetes Mellitus ; Health Behavior ; Hypercholesterolemia ; Korea ; Occupations ; Risk Factors ; Social Class ; Socioeconomic Factors