
February 3, 2026
Metabolic well being, which focuses on how effectively the physique produces vitality from meals, is exclusive for girls as a consequence of hormonal shifts all through life. As new analysis underscores the significance of girls’s metabolic well being for persistent illness administration1, Garmin smartwatch knowledge is being leveraged by digital well being platform Good day Inside to supply girls with a technique to perceive how adjustments in way of life components reminiscent of food plan, train, stress and sleep can impression glucose stability and hormonal signs.
Good day Inside is an AI-powered girls’s metabolic well being platform that turns glucose2 and complicated well being knowledge into real-time, hyper-personalized insights for girls.
Personalised steering backed by knowledge

Good day Inside’s AI layer synthesizes self-reported meals logging, steady glucose monitoring (CGM) and Garmin smartwatch knowledge to disclose how day by day decisions — consuming, sleeping, transferring and stress administration — have an effect on metabolic well being by means of hormonal transitions, from menstrual cycles by means of menopause.
“The mixing of wearable biosensors with steady glucose monitoring is enabling the customized, longitudinal monitoring girls want all through their hormonal transitions,” stated Mario Aichlseder, CEO and co-founder of Good day Inside. “Our collaboration with Garmin is highly effective due to the precision knowledge they ship. Their superior sleep options, HRV monitoring and biometric monitoring give us the accuracy we have to decode metabolism in real-time.”
Garmin smartwatches reminiscent of Venu® 4, Forerunner® 570 and fēnix® 8 then present the extra biometric knowledge wanted to indicate a extra complete image of general well being and wellness.
With CGM and Garmin knowledge, Good day Inside incorporates AI to ship customized insights and proposals to optimize metabolic well being adjustments that may help weight reduction and hormonal steadiness for customers. Medical knowledge demonstrates these outcomes: customers obtain a median weight lack of 4 kg in three months by means of metabolic optimization reasonably than restrictive weight-reduction plan, with 76% reporting general symptom enchancment.3

Sleep, stress and extra: How Garmin biometrics are utilized
- Sleep-insulin resistance prediction: Good day Inside integrates the high-quality sleep monitoring capabilities of Garmin smartwatches to indicate how restorative sleep (REM plus deep sleep) correlates with glucose stability. Analysis reveals that suppression of slow-wave sleep considerably decreases insulin sensitivity and glucose tolerance, even when whole sleep time stays unchanged.4 Research in girls affirm that persistent inadequate sleep impairs insulin sensitivity impartial of physique composition.5 By overlaying Garmin sleep knowledge with steady glucose monitoring, Good day Inside reveals how poor sleep impacts next-day blood sugar patterns. The AI generates customized Day by day Insights explaining these connections by means of visualizations over time. That is notably beneficial for girls dealing with hormonally pushed sleep disruption all through PMS, being pregnant, perimenopause, breastfeeding and even childcare.
- Actual-time stress metabolism administration: Physiological stress knowledge from Garmin smartwatches — which incorporates coronary heart fee variability (HRV), stress monitoring and Physique Battery™ vitality monitoring — is overlayed with glucose patterns to disclose the cortisol-glucose response. When acute stress is detected by means of HRV adjustments, the Good day Inside app can set off quick mindfulness suggestions. A “Stress Stage & Glucose Spikes” chart visualizes how stress impacts blood sugar all through the day, combining self-reported and physiological stress knowledge for broader context.
- Cycle-synced metabolic optimization: Girls usually have insulin adjustments throughout the menstrual cycle with extra insulin sensitivity within the follicular part and extra insulin resistance within the luteal part2. Utilizing the Garmin Girls’s Well being API, Good day Inside can see cycle part, day and size, which works for normal, irregular and menopausal transition cycles. Girls can modify train depth, vitamin and restoration based mostly on the place they’re of their cycle — accounting for the hormonal shifts that conventional well being apps could not register.
- Exercise-metabolism optimization: Exercise knowledge is synced to the Good day Inside Train Log, overlayed with glucose response knowledge and analyzed to indicate how completely different train intensities have an effect on glucose ranges in numerous cycle phases. For instance, excessive depth interval coaching (HIIT) throughout the luteal part could require adjusted depth, whereas the identical exercise within the follicular part could be higher tolerated.
The Good day Inside method displays a broader shift towards prevention and long-term metabolic monitoring. By layering Garmin biometric knowledge with steady glucose monitoring, the platform helps girls set up sustainable way of life patterns that help metabolic well being all through completely different hormonal phases — from reproductive years by means of menopause.
“If you mix the excellent well being knowledge from Garmin smartwatches with steady glucose monitoring and our AI, you get one thing that merely doesn’t exist wherever else: a whole, adaptive metabolic well being system constructed particularly for girls’s physiology,” stated Aichlseder. “That is precision well being at scale, and this collaboration makes it potential.”
May Garmin smartwatch expertise and the Garmin Well being related ecosystem play an important function in your digital well being answer? Contact us right this moment to seek out out extra.
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1Metabolic issues like diabetes linked to feminine reproductive components
2Blood glucose variance measured by steady glucose displays throughout the menstrual cycle
3Girls obtain measurable enhancements in weight, vitality, and symptom administration by means of glucose management
4Sluggish-wave sleep and the chance of kind 2 diabetes in people
5Continual inadequate sleep in girls impairs insulin sensitivity impartial of adiposity adjustments