Wearables, biomarkers and health data: a practical guide

Measurements are not diagnoses

Wearables can estimate activity, heart rate and aspects of sleep. Accuracy varies by device, measurement method, context and individual characteristics.

A change in a number can be a prompt to look closer, but it does not automatically indicate disease or prove that an intervention works.

Understand biomarkers in context

Laboratory biomarkers such as blood lipids or glucose require interpretation alongside medical history, symptoms and validated reference information. One isolated result rarely tells the whole story.

Biological-age estimates and proprietary wellness scores may use models that are not equally validated across populations. Ask what is measured and how reliable the method is.

Use data responsibly

Look for meaningful trends, protect sensitive health data and avoid unnecessary testing. Discuss concerning findings with a qualified healthcare professional.