"Many chronic diseases unfold slowly as continuous biological processes, yet they are typically detected through brief clinical snapshots - at annual visits to a physician or from isolated laboratory tests, for instance. Insulin resistance, a condition in which the body must work harder to regulate blood sugar, can develop for years before it becomes visible in routine diagnostics."
"Patterns in everyday-lifestyle data, collected outside the clinic from consumer wearable devices, can reveal this hidden phase earlier. Rather than a snapshot, this offers something closer to a 'movie' of metabolic health. By drawing on continuous signals from daily life, the authors' approach highlights physiological strain that is invisible to episodic testing."
"Identifying insulin resistance - a key early feature of type 2 diabetes - earlier could enable simpler interventions and, ultimately, reduce the downstream burden of metabolic disease."
Chronic diseases develop gradually through continuous biological processes but are typically identified through infrequent clinical visits or isolated laboratory tests. Insulin resistance, which precedes type 2 diabetes, can progress undetected for years before appearing in routine diagnostics. Continuous data from consumer wearable devices reveals metabolic dysfunction patterns during this hidden phase, providing a comprehensive view rather than isolated snapshots. This approach identifies physiological strain invisible to episodic testing. Early detection of insulin resistance through wearable monitoring enables simpler interventions and reduces the overall burden of metabolic disease.
#wearable-devices #insulin-resistance #metabolic-health-monitoring #early-disease-detection #continuous-health-data
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