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Wearable Device Data Links Reduced Sleep, Activity in Pregnancy to Premature Birth Risk

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A pregnant woman and her wearable device.

The study found some women’s sleep and activity patterns changed on an accelerated timeline relative to how far along they were in their pregnancies.

Credit: Shurkin_son/Adobe Stock

Scientists at the Stanford School of Medicine (Stanford Medicine) and Washington University in St. Louis associated a lack of sleep and reduced physical activity during pregnancy with the risk of premature birth.

Stanford Medicine's Nima Aghaeepour said, "We showed that an artificial intelligence algorithm can build a 'clock' of physical activity and sleep during pregnancy and can tell how far along a patient's pregnancy is."

The researchers mined information from actigraphy devices (used to assess cycles of activity and rest) worn by more than 1,000 women during pregnancy, then used a machine learning algorithm to identify changes in sleep and physical activity.

They found women whose patterns changed faster relative to their pregnancies' progress tended to deliver their babies early.

From Stanford Medicine News Center
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Abstracts Copyright © 2023 SmithBucklin, Washington, D.C., USA


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