ABSTRACT
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.
ABSTRACT
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.
ABSTRACT
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.