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COVID May Increase the Risk of Type 2 Diabetes--Research report

People infected with the coronavirus were significantly more likely to be diagnosed with Type 2 diabetes within a year of their infection, compared with those who had not been exposed to the virus, researchers in Canada reported Tuesday.

Men were more likely to develop diabetes than women, the scientists found. People who were so sick that they were hospitalized were more than twice as likely to go on to a diabetes diagnosis, compared with those who were not infected.

People who were admitted to intensive care were more than three times as likely to develop diabetes, the researchers also found. The findings add to a growing body of evidence about COVID’s long-term effects.

“This is definitely a concern in terms of long-term outcomes,” said Dr. Naveed Z. Janjua, the paper’s senior author and a professor at the School of Population and Public Health at University of British Columbia.

“With a respiratory infection, you usually think, ‘Seven or eight days, and I’m done with it; that’s it,’” he added. “Here we’re seeing lingering effects that are lifelong.”

The study, published in JAMA Network Open, used a large data set from British Columbia to compare diabetes diagnoses among more than 125,000 individuals who had tested positive for COVID in 2020 and 2021 with those of more than 500,000 unexposed individuals during the same period.

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COVID disturbed sleep patterns found leading to breathlessness post-infection

New research published in The Lancet Respiratory Medicine and presented at the European Congress of Clinical Microbiology & Infectious Diseases (ECCMID) suggests the altered sleep patterns in British residents hospitalized with COVID-19 likely contributed to developing breathlessness, or dyspnea following recovery from the initial illness.

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Analysis: Obesity and COVID-19 mortality are correlated-study

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We observe a statistically significant positive association between COVID-19 mortality and the proportion of obese in adult populations spanning 142 countries. This association holds across countries belonging to different income groups and is not sensitive to a population’s median age, proportion of the elderly, and/or proportion of females.

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