Shift Work Can Make You More Prone To Type 2 Diabetes 


According to a report published by Occupational and Environmental Medical which concluded shift work can increase their chances of developing type 2 diabetes. 42 percent of people working as shifts workers were found to have increased risk of developing diabetes with those most affected being men and individuals on rotating shifts.

According to the 2010 National Institute for Occupational Safety and Health Survey, 29 percent of  all workers in the United States worked an alternate shift – or shifts other than a typical day shift.

Alternate shifts are known to disrupt the body’s biological rhythm. The biological clock is responsible for the release of hormones and also controls mood, alertness, body temperature and other components of the body’s daily cycle.

Working alternate shifts has previously been associated with certain health risks including heart disease, breast cancer, and obesity. In the present study, the authors note that previous observations between shift work and diabetes have been inconsistent. Therefore, they conducted a systematic review of the literature to quantify the risk that working alternate shifts presents.

For the study, researchers at Huazhong University of Science and Technology in China looked at 12 previously completed studies, which held data on 226,652 people. That data included where the people worked, their BMI levels, and if diabetes runs in their families.

In the end, the researchers concluded that type 2 diabetes is more prevalent among those who work in shifts. Workers that have rotating nighttime and daytime shifts have an increased risk of 42 percent. Men alone have a risk increase of 35 percent.

The authors suggest that fluctuating levels of the male hormone testosterone could account for the increased risk for men, noting that low testosterone levels have been implicated in insulin resistance and diabetes.

According to the authors, these new findings should urge those who work in shifts to be more aware of the associated risks.

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