Oura rolls out new features for pregnancy and perimenopause

One downside to a fitness trackers is that they’re rarely able to understand the context in which their users live. It’s an issue Oura is looking to remedy by launching two sets of features intended to help people during pregnancy and when they reach perimenopause. Given both processes are liable to take a toll, causing physical, mental and emotional changes, having a smart ring that understands what’s going on is vital.

For the former, the Oura app will now monitor your biometrics throughout pregnancy and reference that against broader population data. You’ll also get deep dive trend analysis showing how your health and fitness has evolved through your pregnancy. Not to mention that the app, and the AI advisor, will not tell you off if your lifestyle becomes a little more sedentary towards the end of your pregnancy.

Perimenopause is the period of changes occurring in the run-up to the menopause, which can cause mood swings, depression, brain fog, muscle soreness and difficulty sleeping. Data from earlier this year suggests that one third of people have little to no knowledge of the condition, its symptoms, or treatment.

It’s something Oura is looking to address with Perimenopause Check-in, as part of its Cycle Insights feature. The company says users will be able to answer a 12-question assessment to rate the severity of their symptoms to quantify the impact on their quality of life. Users can turn this into a downloadable report that can be sent to healthcare providers to help explain how the symptoms are affecting them. Plus, the Oura app will integrate with various healthcare providers including Evernow, Maven and Progyny to get guidance on treatment including hormone therapy.

This article originally appeared on Engadget at https://www.engadget.com/wearables/oura-rolls-out-new-features-for-pregnancy-and-perimenopause-130000405.html?src=rss https://www.engadget.com/wearables/oura-rolls-out-new-features-for-pregnancy-and-perimenopause-130000405.html?src=rss