Still watching the constellation? Let big data tell you your birthday health password.
June 10, 2015 Source: Bio Valley
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June 10, 2015 / Bio Valley BIOON / -- Researchers at Columbia University recently developed a new calculation method to understand the relationship between people's birth month and risk. After investigating the New York City medical database, the researchers found that 55 diseases were related to the season in which people were born. The results of the study generally show that people born in May have the lowest risk of illness, while those who have a birthday in October are at higher risk. The results were published in the latest issue of the Journal of American Medical Informatics Association this week.
The author of the article, Dr. Nicholas Tatonetti, assistant professor at the Columbia University Medical Center, said the data could help researchers find new causes. Researchers plan to use the same algorithm to study medical data in other parts of the United States and abroad, and to observe how the results vary with different seasons and circumstances. In the longer term, researchers hope to find out the reasons for this result in different birth months, and find a way to reduce this difference.
In the study, scientists studied medical data from 1.7 million patients between 1985 and 2013 at the New York-Presbyterian Hospital in New York City, comparing the relationship between 1688 diseases and birth dates. The study excluded more than 1,600 associations with disease, confirmed 39 previously reported associations, and found 16 new disease associations. For example, the risk of developing asthma in July and October is higher than in other months, and those born in March are at a higher risk of heart disease than others.
"But people don't worry too much about it and they are nervous. Although we have found relevance, the overall risk of illness is not great," Tatonetti explained. "Birth compared to other important factors such as diet and exercise, birthday The role played by the month is very small."
"The faster computer speed and massive electronic medical records have accelerated the pace of research," said Mary Regina Boland, the first author of the article. "And we are trying to use data wealth to help doctors solve big clinical problems." Bioon.com)
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