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Objectives@#Excess mortality associated with long-term exposure to fine particulate matter (PM2.5) has been documented. However, research on the disease burden following short-term exposure is scarce. We investigated the cause-specific mortality burden of short-term exposure to PM2.5 by considering the potential non-linear concentration–response relationship in Korea. @*Methods@#Daily cause-specific mortality rates and PM2.5 exposure levels from 2010 to 2019 were collected for 8 Korean cities and 9 provinces. A generalized additive mixed model was employed to estimate the non-linear relationship between PM2.5 exposure and cause-specific mortality levels. We assumed no detrimental health effects of PM2.5 concentrations below 15 μg/m3. Overall deaths attributable to short-term PM2.5 exposure were estimated by summing the daily numbers of excess deaths associated with ambient PM2.5 exposure. @*Results@#Of the 2 749 704 recorded deaths, 2 453 686 (89.2%) were non-accidental, 591 267 (21.5%) were cardiovascular, and 141 066 (5.1%) were respiratory in nature. A non-linear relationship was observed between all-cause mortality and exposure to PM2.5 at lag0, whereas linear associations were evident for cause-specific mortalities. Overall, 10 814 all-cause, 7855 non-accidental, 1642 cardiovascular, and 708 respiratory deaths were attributed to short-term exposure to PM2.5. The estimated number of all-cause excess deaths due to short-term PM2.5 exposure in 2019 was 1039 (95% confidence interval, 604 to 1472). @*Conclusions@#Our findings indicate an association between short-term PM2.5 exposure and various mortality rates (all-cause, non-accidental, cardiovascular, and respiratory) in Korea over the period from 2010 to 2019. Consequently, action plans should be developed to reduce deaths attributable to short-term exposure to PM2.5.
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The worldwide incidence of precocious puberty, which is associated with negative health outcomes, is increasing. Several studies have suggested that environmental factors contribute to the development of precocious puberty alongside genetic factors. Some epidemiological studies have provided limited evidence suggesting an association between exposure to air pollution and changes in pubertal development. This systematic review aimed to summarize existing evidence on the association between air pollution exposure and precocious puberty. Following the Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines, we searched two databases (PubMed and Web of Science) until August 2023. The included studies assessed the association between air pollutant exposure and the risk of precocious puberty, early menarche, or pubertal development. Two authors independently performed study selection and data extraction. A meta-analysis and analysis of the risk of bias were infeasible due to the limited number of studies and the heterogeneity among them. The literature search resulted in 184 studies, from which we included six studies with sample sizes ranging from 437 to 4,074 participants. The studies reported heterogeneous outcomes. Four studies found that increased exposure to air pollution was related to earlier pubertal onset. One study was inconclusive, and another suggested that air pollutant exposure may delay the onset of thelarche. Most studies suggest that exposure to air pollutants accelerates pubertal development; however, the results from the available studies are inconsistent. More extensive and well-designed longitudinal studies are required for a comprehensive understanding of the association between air pollution and precocious puberty.
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Purpose@#Exposure to heat and cold stress can negatively affect pregnant women. However, studies on the association between ambient temperature exposure and pregnant women, especially those with diabetes mellitus, are limited. The presence of this disease is likely to affect the woman’s capacity to adapt to the demands of pregnancy, consequently affecting fetal development. We examined the association between exposure to the mean temperature and diabetes mellitus during pregnancy. @*Methods@#Health Insurance Reviews and Assessment Service was used to obtain data on patients hospitalized between January 2015 and August 2022. The association between the number of pregnant patients with diabetes mellitus according to monthly mean temperature and seasonal differences was analyzed using a generalized additive model. The model was adjusted for the treatment date, mean humidity, and mean age of the women. @*Results@#The total number of patients with diabetes mellitus in pregnancy was 651,655 and the mean temperature was 12.87℃±9.89℃. The association between the mean temperature and diabetes mellitus during pregnancy showed a U-shaped nonlinear association. During the entire period, the number of patients with diabetes mellitus in pregnancy significantly increased by 2.82 per 1℃ increase in mean temperature (estimate, 2.82; 95% confidence interval [CI], -2.06 to 7.71). The number of patients significantly increased by 72.12 per 1℃ increase in mean temperature in the summer (estimate, 72.12; 95% CI, 50.36–93.89), but the increase was not statistically significant in the winter. @*Conclusion@#Our findings suggest that maternal exposure to mean temperature during pregnancy is associated with diabetes mellitus.
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Objectives@#Public health risks and anxiety have been increasing since the outbreak of Coronavirus disease 19 (COVID-19). The public expresses questions related to the COVID-19 issue through the web base. The aim of this study was to analyze public perception and sentiments of COVID-19 Pandemic in South Korea. @*Methods@#We collected the text data (questions: 252,181) related to COVID-19 from Naver Knowledge-iN during January 1, 2020 to December 31, 2020. The search keywords included related to COVID-19 using Korean words for “SARS-Cov-2”, “COVID19”, “COVID-19”, “Wuhan pneumonia”, “Coronavirus”, “Corona”. A topic modeling analysis was used to investigate and search trends of public perception.The sentiment analysis was conducted to analyze of public emotions in the questions related to COVID-19. We performed the Pearson’s correlation analysis between daily number of COVID-19 cases and daily proportion of negative sentiment in documents related to COVID-19 by COVID-19 outbreak period. @*Results@#A total of 241,776 documents used in this study. The most frequent words in the documents to appear cough, symptoms, tests, confirmed patients, mask and etc.Twenty topics (COVID-test, Economy, School, Hospital/Diagnose, Travel/Overseas, Health, Social issue, Symptom 1 (respiratory), Relationships, Symptom 2 (e.g., fever), Workplace, Mask/Social distancing, infection/Vaccine, Stimulus Package, Family, Delivery Service, Unclassified, Region, Study/Exam, Worry, Anxiety) were extracted using the topic modeling. There was a positive association between the daily counts of COVID-19 patients and proportion of negative sentiment. By COVID-19 period, Stage 4 had the highest correlation. @*Conclusion@#This study identified the South Korean public’s interest and emotions about COVID-19 during the prolonged pandemic crisis.
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PURPOSE: This paper is based on an ecological study. From 2008 to 2014, we identified the differences in the Low Birth Weight (LBW) rate according to land use rate among the 25 autonomous regions of Seoul. We also demonstrated the effects of ecological environmental differences on maternal outcomes. METHODS: The National Statistical Office obtained data of residential areas and rates, commercial areas and rates, industrial areas and rates, green areas and rates of the 25 autonomous regions from 2008 to 2014. It also obtained data regarding low birth weight rates for the same region and period. The rate of land use is divided into four stages by residential rate, three by commercial rate, three by industrial rate, and four by green area rate The higher the step, the higher the rate is. The method by Baron and Kenny was used to investigate the mediating effects of the concentration of air pollutants (PM10, PM2.5, SO2, NO2, O3, CO) on LBW and its relationship to land use in each district of Seoul. The relationship between the change of land use and LBW rate in each region was analyzed with general regression analysis and cluster analysis. RESULTS: This study shows that as the rate of green area to overall area increases in Seoul's industrial area, a causal effect is observed with low birth weight, mediated by SO2. Regression analysis revealed that LBW rates were significantly higher in heavily industrial areas (beta=1.27, SE=0.27, p<0.05), while LBW rate was significantly lower in considerably greener areas (beta=−2.21, SE=0.39, p<0.05). CONCLUSION: We confirmed differences in the relationship between residential, commercial, industrial, and green areas, air pollutants, and LBW rate. Areas with high industrial rates have a high LBW rate, while areas with high green rates have a low LBW rate. The autonomous land use ratio includes direct environmental factors. Therefore, pregnant women who are living in highly industrial areas should be especially careful to manage their living environment.