Data from wearables show that deviations from normal sleep and activity in pregnancy are connected to a risk for premature delivery, a new study found.
A lack of sleep and reduced physical activity during pregnancy are linked to risk of preterm birth, according to new research led by the Stanford School of Medicine., the researchers collected data from devices worn by more than 1,000 women throughout pregnancy. With a machine learning algorithm, the scientists sifted through participants' activity information to detect fine-grained changes in sleep and physical activity patterns.
But doctors still can't reliably determine which pregnancies are at risk for premature delivery. Even when they know a mom is at risk -- because she's previously had a premature delivery, for example -- they still don't have great treatments to extend the pregnancy closer to the due date. Developing medications that could do this would be complex, in part because of ethical concerns regarding testing drugs that might harm the fetus.
With the movement and light exposure data, the research team developed a machine learning model of activity and sleep during pregnancy. The model shows that patterns of sleep and physical activity change over the course of pregnancy, which generally is associated with more sleep disruption and less physical activity as pregnancy progresses.
The circadian clock regulates several other biological pathways implicated in premature birth, such as those regulating inflammation and the immune response, the scientists said. They plan to test whether improving sleep and physical activity in pregnancy could modify other key pathways, such as those controlling inflammation.
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