Evidence map›Paper›PMID 41748644›Full record

Articlenpj aging2026

From wrist data to lifespan: elucidating inflammation-driven biological aging via activity rhythms captured by wearable devices.

Jinjoo Shim, Faraz Bishehsari, Mahboobeh Mahdavinia, Jamie M Zeitzer, Elgar Fleisch, Filipe Barata

Abstract read
In one paragraph

Article in npj aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jinjoo ShimCentre for Digital Health Interventions, ETH Zurich, Zurich, Switzerland. jinjooshim@hsph.harvard.edu.
Faraz BishehsariGastroenterology Research Center (GRC), Department of Internal Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA.
Mahboobeh MahdaviniaDivision of Allergy and Immunology, Department of Internal Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA.
Jamie M ZeitzerDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
Elgar FleischCentre for Digital Health Interventions, ETH Zurich, Zurich, Switzerland.
Filipe BarataCentre for Digital Health Interventions, ETH Zurich, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systemic inflammation ("inflammaging") accelerates biological aging and drives cardiovascular, metabolic, and neurodegenerative disease. Circadian rhythms regulate the amplitude and timing of immune responses, yet their mechanistic role in inflammation and longevity remains unexplored. In 62,000 adults with 7-day wearable accelerometry, interpretable machine learning model identified rhythm amplitude, stability, and moderate-to-vigorous physical activity (MVPA) as dominant predictors of accelerated aging. In a subset of 1521 participants (35% male) with available data on the systemic immune-inflammation index (SII), we further examined the associations between behavioral rhythmicity and inflammation. Low amplitude and poor rhythm stability were associated with 0.31 and 0.18 SD higher SII; low MVPA to 0.33 SD higher SII in men (all p < 0.05). Adding 15-min bout to daily MVPA or improving rhythm stability by 10-14% mitigated these effects. Sex-stratified mediation analysis revealed that inflammation accounted for 26% of the mortality risk associated with insufficient MVPA, 14% with rhythm irregularity, and 8% with low amplitude only in men. These findings position rest-activity rhythms as digital biomarkers linking daily rhythmicity to inflammation and survival and identify inflammation as a modifiable target for personalized interventions to foster healthy aging.

Identifiers

PMID41748644
PMCPMC13046744

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.