For how we live.
In 152 adults tested against two nights of polysomnography, the Galaxy Watch reached an AUROC of 0.94 for moderate-to-severe sleep apnea — with 66.7% specificity at the setting it ships with.
European hypertension specialists found only two wrist-cuff blood pressure watches with validation studies done to established protocols. A sleep group ran a Galaxy Watch against two nights of polysomnography.
A National Sleep Foundation position statement and a new national survey land on the same problem: a third of US adults track their sleep, and the numbers they trust most are the ones devices measure worst.
Twenty months of under-mattress sensor data from 95,819 people found that chronic irregularity was common, persistent, and tracked with 46% higher odds of hypertension.
A meta-analysis of 45 cohorts found risk rising steadily with every 10 beats per minute. A study of 92,457 wearable users found one person's normal can differ from another's by 70 beats.
A 2025 meta-analysis of 57 studies found the mortality curve bending at about 7,000 steps a day. The 10,000 figure traces to the trade name of a Japanese step counter sold in 1965.
In a small pilot of older veterans, those walking fewer than about 4,100 steps a day before an operation were more likely to be frail. Most weren't walking enough to recover afterward.
A February scientific statement declines to recommend the category for clinical decisions. Six weeks earlier, a journal retracted a validation study of a popular consumer model.
A meta-analysis of continuous glucose monitors in people without diabetes found a real effect on blood sugar — but only in those with prediabetes. In healthy users, the evidence for a metabolic benefit was not there.
A small qualitative study finds device dependency, blurred motivation and users who no longer trust their own bodies. It lands as health services keep integrating the same devices.
A 250-person randomised trial paired a wearable tracker with just-in-time energy-management messages. Post-exertional malaise fell in both arms, and the difference between them was trivial.
A UK Biobank analysis finds high step counts do not offset short sleep. A US cohort finds one-minute bursts matter. And in older adults, most step-count differences vanish after adjusting for age and sex.
The FDA's revised general wellness policy lets non-invasive devices infer blood pressure, glucose and other physiologic parameters. The regulated line is no longer the measurement — it is the sentence next to it.
A mirror that scores physiological age in 30 seconds. A watch that watches your gait for dementia. The gap between what these products measure and what they imply is the story of the show.
A year of wearable data from 76 subsistence farmers shows adaptation happening in real time. The women in the study had less room to slow down, and their strain readings show it.
Across 111 runners completing up to four trials each, two consumer devices tracked the direction of fluid loss reasonably well but missed the amount by 25% to 33% on average.
One proposes a rate-of-change benchmark from 153 non-diabetic wearers. The other put ten young adults through food, exercise and a laboratory stress test to see what actually moves the line.
PpgAge predicts chronological age from consumer wearable photoplethysmography and tracks disease. The same optical method has documented accuracy problems across skin tones.
Twenty untrained women cycled at four fixed workloads wearing four popular low-cost bands, checked against indirect calorimetry. Every device drifted further from the truth as effort rose.
Google's PH-LLM beat sampled human experts on multiple-choice tests but only matched them on real cases. A new reporting checklist published the same month explains why such claims are hard to compare.
A meta-analysis of pedometer, tracker and smartwatch interventions lasting 12 to 48 weeks found no significant change in systolic or diastolic pressure — nor in weight, glucose or HbA1c.