Environmental factors may play roles in the development of rheumatoid arthritis (RA), and some studies have shown that air pollution was associated with the development of autoimmune disease. This study was designed to investigate the effect of air pollutants on the development of adult RA. A nested case-control cohort study was performed using the National Health Insurance Service-National Sample Cohort during 2002–2014 in Korea. Air pollution data were collected from the National Ambient Air Monitoring System (NAMIS), and exposure levels were extrapolated using geographic information systems. The group with RA (n = 444) was compared with a propensity score-matched control group (n = 1776), and one-year average concentrations of air pollution were predicted at each patient’s residence. The adjusted binary logistic regression analysis showed a positive association between O₃ exposure and the incidence risk of RA for the third (odds ratios (OR) = 1.45, 95% confidence intervals (CI): 1.08–1.96) and fourth (OR = 1.35, 95% CI: 1.00–1.83) quartiles in adults over 20 years of age. The third quartile CO exposure was also associated with an increased risk of RA (OR = 1.57, 95% CI: 1.16–2.12). The results of this nationwide population-based study showed that a one-year exposure to CO and O₃ in adults was associated with an increased risk of RA.

Previous studies have identified a link between gender and the various risk factors associated with obesity. We examined obesity risk factors in working adults to identify the effects of differences in body mass index (BMI) and percentage body fat (PBF) between women and men. A total of 1,120 adults agreed to participate in the study. Data from 711 participants, including 411 women and 300 men, were analyzed. Multiple logistic regression analysis was used to estimate the effects of risk factors on obesity and being overweight. In addition, the least-squares (LS) means of both BMI and PBF were estimated by analysis of covariance (ANCOVA) in a generalized linear model. Increases in BMI and PBF were significantly related to an age > 50 years and long working hours in women after compensating for confounding factors. Using the PBF criterion, the odds ratio (OR) of being overweight or obese in women > 50 years of age who worked for > 9 h a day was 3.9 (95% confidence interval [CI], 1.05–11.00). For BMI, women who were > 50 years of age and worked for > 9 h a day were 3.82 times (95% CI, 1.31–11.14) more likely to be overweight or obese than those who were < 50 years of age and worked for < 9 h a day. Obesity in working adults was associated with > 50 years of age and long working hours in women. Further studies are needed to investigate the underlying mechanisms of this relationship and its potential implications for the prevention and management of excess weight and obesity.

Jeong KS, et al. J Korean Med Sci. 2017 Jul;32(7):1097-1104. https://doi.org/10.3346/jkms.2017.32.7.1097

Background/Aim: Previous studies have suggested that the short-term ambient air pollution and temperature are associated with myocardial infarction. In this study, we aimed to conduct a time-series analysis to assess the impact of fine particulate matter (PM2.5) and temperature on acute myocardial infarction (AMI) among adults over 20 years of age in Korea by using the data from the Korean National Health Information Database (KNHID). Methods: The daily data of 192,567 AMI cases in Seoul were collected from the nationwide, population-based KNHID from 2005 to 2014. The monitoring data of ambient PM2.5 from the Seoul Research Institute of Public Health and Environment were also collected. A generalized additive model (GAM) that allowed for a quasi-Poisson distribution was used to analyze the effects of PM2.5 and temperature on the incidence of AMI. Results: The models with PM2.5 lag structures of lag 0 and 2-day averages of lag 0 and 1 (lag 01) showed significant associations with AMI (Relative risk [RR]: 1.011, CI: 1.003–1.020 for lag 0, RR: 1.010, CI: 1.000–1.020 for lag 01) after adjusting the covariates. Stratification analysis conducted in the cold season (October–April) and the warm season (May–September) showed a significant lag 0 effect for AMI cases in the cold season only. Conclusions: In conclusion, acute exposure to PM2.5 was significantly associated with AMI morbidity at lag 0 in Seoul, Korea. This increased risk was also observed at low temperatures.

Climate change can affect mental health as well as physical health. A number of studies have recently been reported in Korea to investigate the association between climate change and mental health indicators. Research conducted in Korea reflects specific environments and climate conditions in Korea, contributing to the preparation of appropriate policies suitable for the domestic environment. However, few studies have systematically reviewed studies on climate change and mental health in Korea. Therefore, this study aims to identify the existing evidence regarding the association of climate change with mental health on domestic population groups by using a scoping review and suggests the direction of future studies on climate change and mental health. The result of this scoping review showed that research on climate change and mental health has increased since 2015 compared to before 2015, and mental health issues related to temperature, natural disasters, and air pollution have been largely investigated. Considering the recent trend of rising temperatures, the effects of heat waves on physical and mental health would be even greater, and the importance of research between temperature and mental health is likely to increase. In addition, many studies have been performed to investigate the relationship of natural disasters with trauma in Korea. Since natural disasters tend to be relatively limited to specific areas, future studies should be conducted to study the mental difficulties experienced by residents in certain disaster areas and to suggest policies for recovery. Climate factors, including rising sea levels, could cause migration, geopolitical changes, and food instability, and these changes could also impact various physical and mental health. Therefore, considering various factors caused by climate change, it will be necessary to explore mediating factors that could eventually affect mental health. Finally, a follow-up study including government reports is needed to identify trends in research on climate change and mental health and to review the policies proposed in the report.

This study evaluates the effect of an integrated health care educational program on several behavioral changes related to environmental health among Laotian students. Students in the experimental group received education concerning environmental health-related issues, including air pollution and chemical exposure. Analyses of covariance (ANCOVA) and paired t-tests were conducted for the statistical analysis of the pre- and post-survey scores. The post-test scores of the experimental group regarding their risk perception and information-seeking behaviors towards air pollution and chemical exposure were higher than those of the control group after controlling for the pre-test scores. Moreover, in the experimental group, the girls’ risk perception scores significantly increased after receiving the education, which was not observed in the control group. The risk perception score among non-drinking students also significantly increased after the program. These results indicate that the education program effectively enhanced the students’ risk perception, especially that of girls and nondelinquent students.