Articles related to WEARABLES

Personalized models using wearable data forecast sedentary bouts in women with chronic pelvic pain, primarily endometriosis. Simpler models performed comparably to deep learning, but benefits from prediction-guided movement prompts remain untested.

Among individuals with progressive multiple sclerosis, higher blood neurofilament light chain (NfL) levels were associated with lower daily ambulatory activity, while increases in NfL over time tended to track with subsequent declines in step counts measured by wearable devices.

A prototype wearable ring continuously monitored multiple sweat biomarkers, including glucose and ketones, in healthy volunteers and individuals with type 1 diabetes. The device’s readings tracked established monitoring technologies, though larger validation studies remain necessary.

Older adults’ real-time ratings of their mental sharpness closely tracked objective cognitive performance during everyday activities in a smartwatch-based study. The observational findings suggest potential utility for monitoring cognitive change but did not establish causality.

Accelerometer-derived sleep-wake cycle metrics independently predicted incident dementia in 53,448 UK Biobank participants, with predictive improvement comparable to APOE genotype contribution when added to age-only models.

A 2-week randomized trial in 86 adolescents combining personalized sleep scheduling with morning bright-light glasses and evening blue light–blocking glasses shifted circadian timing 45 minutes earlier and added 47 minutes of weeknight sleep versus controls.