The Influence of Weather Factors on Dermatologic Diseases: A Population Based Study
| Autor: | Tien-Yi Yang, 楊天怡 |
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| Rok vydání: | 2017 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 105 Recently, dermatologic diseases have been common to everyone. Although most of the dermatologic diseases are not fatal, they still have huge influences on patient’s life. So Prediction or early diagnosis of these diseases can be a great contribution to the patients. With the rapid improvement in data analysis techniques and the gradually completed healthcare databases, this study tried to analyze the large volume of patient treatment data to investigate the correlation between specific factors and dermatologic diseases. According to previous clinical studies, many doctors suggested that weather factors might be the triggering factors of Rosacea. However, few studied had really found the correlation with massive data. Therefore, the purpose of this study is to excavate the relation between weather factors and Rosacea with more integral data and improved analysis techniques. The patient treatment data were released by the National Health Insurance Administration Ministry of Health Welfare (NHIA) and the weather data was established by the Environmental Protection Administration. A total of 263,675 cases and 102,053 patients of Rosacea were reported between 2000 and 2010. The gender ratio of these cases are: male vs. female = 24% vs. 76%. The typical high-risk group of the disease was female between 21 to 30 years old and the seasonal pattern of Rosacea with a peak occurred in March to May. The result of this study found that weather and the change of weather did correlate with Rosacea. The multiple regression model showed that all the weather factors had almost 70% predicting ability of Rosacea (R^2=0.68). Among the 10 independent variables, CO concentration, humidity, and ultraviolet index were the best predicting variables for the Rosacea. And the weather change regression model showed a similar result (R^2=0.66). And the three best predicting variables for Rosacea were: changes in SO2 concentration, temperature changes, and ultraviolet changes. This finding supported the previous literature on the cause of Rosacea, i.e., the ultraviolet, the exposure to the sunlight, and the increase of humidity would result in more Rosacea. Meanwhile, in this research, we further found out 2 factors neglected by the previous clinical studies: CO concentration and Changes in SO2 concentration. Besides, this research also found out that changes in SO2 concentration, temperature, change in temperature, CO concentration showed negative correlation with Rosacea. Future studies should be done to dig into these interesting phenomena which are against some of our common senses. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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