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Article

Longitudinal digital phenotyping of activity rhythms and biological aging using commercial wearables.

Nature communications - 22 Aug 2026

Shim Jinjoo, Onnela Jukka-Pekka

Abstract excerpt

Disrupted rest-activity rhythms have been associated with aging and chronic disease, yet longitudinal evidence from free-living populations has been lacking. Here we integrate multi-year Fitbit activity data from the All of Us Research Program with clinical biomarker-derived PhenoAge from 2,222 participants (8,447 person-years). Through high-dimensional digital phenotyping, we show that circadian rest-activity...

Read the complete abstract on PubMed

Topics

Humans
Aging
Female
Circadian Rhythm
Phenotype
Male
Wearable Electronic Devices

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Longitudinal Studies

Aged

Digital Health

Middle Aged

Biomarkers

Rest

Source

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Identifiers

PMID: 42778576
DOI: 10.1038/s41467-026-76147-6
PMCID: PMC13601627

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 15 Oct 2026.

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