We investigated the clustering of selected lifestyle factors (cigarette smoking, heavy alcohol consumption, lack of physical exercise) and identified the population characteristics associated with increasing lifestyle risks. Data on lifestyle risk factors, sociodemographic characteristics, and history of chronic diseases were obtained from 7,694 individuals >/=20 years of age who participated in the 2005 Korea National Health and Nutrition Examination Survey (KNHANES). Clustering of lifestyle risks involved the observed prevalence of multiple risks and those expected from marginal exposure prevalence of the three selected risk factors. Prevalence odds ratio was adopted as a measurement of clustering. Multiple correspondence analysis, Kendall tau correlation, Man-Whitney analysis, and ordinal logistic regression analysis were conducted to identify variables increasing lifestyle risks. In both men and women, increased lifestyle risks were associated with clustering of: (1) cigarette smoking and excessive alcohol consumption, and (2) smoking, excessive alcohol consumption, and lack of physical exercise. Patterns of clustering for physical exercise were different from those for cigarette smoking and alcohol consumption. The increased unhealthy clustering was found among men 20-64 years of age with mild or moderate stress, and among women 35-49 years of age who were never-married, with mild stress, and increased body mass index (>30 kg/m(2)). Addressing a lack of physical exercise considering individual characteristics including gender, age, employment activity, and stress levels should be a focus of health promotion efforts.

Objectives: To simultaneously examine the effects of area-level and individual-level socioeconomic position on fatal injuries in children <5 years of age. Methods: A retrospective cohort study based on the national birth and death registers of Korea. 2 667 060 children born during 1995–8 were followed up from birth to the 5th birthday. Cumulative incidences of fatal injuries were calculated, and through multilevel Poisson regression models, relative risks (RRs) of incidence rate were estimated according to children’s sex, father’s occupation and mother’s education at individual level, and deprivation and degree of urbanity at area level. Results: Girls had lower risk for fatal injuries than boys (RR 0.81; 95% confidence interval (CI) 0.75 to 0.87). Compared with children with fathers in non-manual occupations, those with fathers in manual (RR 1.45; 95% CI 1.34 to 1.58) or other occupations (RR 1.35; 95% CI 1.13 to 1.62) had higher risk. Children with mothers who were high school graduates (RR 1.23; 95% CI 1.12 to 1.36) or junior school graduates (RR 1.91; 95% CI 1.66 to 2.19) had higher risk than those whose mothers were college graduates. After controlling for individual-level variables, residence in more deprived districts (RR 1.13; 95% CI 1.05 to 1.21) or non-metropolitan regions (urban RR 1.34; 95% CI 1.22 to 1.47 and rural RR 1.61; 95% CI 1.40 to 1.86) was significantly associated with increased risk. Conclusions: Both individual-level and area-level socioeconomic position influenced the risk for childhood fatal injuries. To reduce the socioeconomic inequalities and the absolute burden in Korea, universal strategies should receive priority, and special efforts in implementation should be directed towards both disadvantaged households and areas.

The current public health research agenda was to identify the means to reduce oral health inequalities internationally. The objectives of this study were to provide evidence of inequality in unmet dental needs and to find influencing factors attributable to those among South Korean adults. Pooled cross-sectional data from the fourth Korean National Health and Nutrition Examination Survey (2007–2009) on 17,141 Korean adults were used. Demographic factors (sex, age, and marital status), socioeconomic factors (education level, employment status, and income level), need factors (normative dental needs and self-perceived oral health status), and oral health-related factors (the number of decayed teeth, the presence of periodontitis, and the number of missing teeth) were included. Multiple logistic regression analysis was performed. Of South Korean adults, 43.9% had perceived unmet dental needs, with the most common reason being financial difficulties. The disparities in unmet dental care needs were strongly associated with income level, normative treatment needs, and self-perceived oral health status. The low-income group, people with normative dental treatment needs, and those with perceived poor oral health status were more likely to have unmet dental needs. There was considerable inequality in unmet dental care needs due to economic reasons according to such socioeconomic factors as income and education level. Public health policies with the expansion of dental insurance coverage are needed to reduce inequalities in unmet dental care needs and improve the accessibility of dental care services to vulnerable groups who are experiencing unmet dental care needs due to socioeconomic factors despite having normative and self-perceived needs for dental treatment.

In rural areas of Korea, where public transportation infrastructure is lacking and alternative systems are poor, the elderly experience inconveniences in using healthcare, although their need is high. This study aimed to analyze the association between the convenience of transportation and unmet healthcare needs among the rural elderly. The data used were collected in the 2016 Community Health Survey among rural elderly individuals aged 65 or older. Dependent variable was the unmet healthcare needs, explanatory variable was the convenience of transportation. The elderly were divided into 3 groups: with no driver in the household, with a driver, and the elderly individual was the driver (the self-driving group). Covariates were classified into predisposing, enabling, and need factors. They included gender, age, education, income, economic activity, household type, motor ability, subjective health level, number of chronic diseases, anxiety/depression, and pain/discomfort. The data were analyzed using logistic regression and stratification. A significant association was found between the convenience of transportation and unmet healthcare needs. When examined unadjusted odds ratio of the group with a driver in the household, using the group with no driver as a reference, was 0.61 (95% confidence interval [CI], 0.54 to 0.68), while that of the self-driving group was 0.34 (95% CI, 0.30 to 0.38). The odds ratios adjusted for all factors were 0.69 (95% CI, 0.59 to 0.80) and 0.79 (95% CI, 0.67 to 0.91). We confirmed a significant association between inconvenient transportation and unmet healthcare needs among the rural elderly even after adjustment for existing known factors. This implies that policies aimed at improving healthcare accessibility must consider the means of transportation available.

Although community-based health insurance (CBHI) schemes have been considered as an intermediate stage to achieve universal health coverage (UHC) in low-resource settings, there is a knowledge gap on ways to make it better. More than 4000 Nepalese households were randomly selected and surveyed. Logistic and multivariate multinomial regressions were estimated. Overall, 88% of included household heads were willing to join CBHI, 61% were willing to pay annual premium less than 600 Nepalese rupees (US$5.6) per household, and more than a half (53%) responded that the government should subsidize a significant portion of the premium. Results showed that a higher level of social capital was significantly related with an increase in odds of accepting higher premiums, while individuals' health status and age did not have such associations. Individuals with bonding social capital were more likely to be inclined to join CBHI. Persons who said they can lend money for a living expense (bonding capital) did not want the government to subsidize the scheme, while this negative association would be reversed if persons had both bonding and bridging social capitals. We found significantly positive relationships between social capital and willingness to join and willingness to pay for CBHI in Nepal. Policymakers, aiming to achieve UHC, should be advised that bonding and bridging social capital have differing relationships with willingness to cooperate the external funding sources.