GeroScienceNov 15, 2025

Step count-based measure that estimates biological age in adults living at home and older patients in rehabilitation

Longevity & Aging Weekly Brief ↗PubMed ↗DOI ↗

Updated Jan 7, 2026

Abstract

MoveIt! Age demonstrated a high predictive accuracy of chronological age with a correlation of r = 0.97 in the NHANES testing dataset.

MoveIt! Age predicts biological age using wearable-derived steps data, making it a non-invasive alternative to traditional methods.
In a cohort of 145 geriatric rehabilitation inpatients, MoveIt! Age was found to be more significantly associated with mortality than PhenoAge.
Differences in delta MoveIt! Age were observed between young and older adults, indicating its sensitivity to health status.
MoveIt! Age was more significantly associated with muscle NAD levels than chronological age, suggesting a link to biological aging.
Delta MoveIt! Age showed stronger associations with physical function outcomes such as frailty and handgrip strength compared to other aging clocks.

Simplified

Measuring biological age typically requires invasive and costly procedures. To address this, the MoveIt! Age Score was developed: a simple, scalable, and interpretable aging clock that predicts biological age using only wearable-derived steps data. MoveIt! Age was trained on steps data from the United States National Health and Nutrition Examination Survey (NHANES), using chronological age, maximum step count, and step count variability to predict PhenoAge, a blood biochemistry biological age score. MoveIt! Age performance was evaluated in two independent cohorts: Mitochondria and Muscle Health in Elderly (MitoHealth; N = 55; healthy young adults or older adults from the Netherlands) and Restoring Health of Acutely Unwell Adults (RESORT; N = 145; geriatric rehabilitation inpatients from Australia). In RESORT, MoveIt! Age was assessed and compared to SenoClock-BloodAge and PhenoAge (hematological aging clocks). Delta age was the predicted biological age minus chronological age. In the NHANES testing dataset, MoveIt! Age demonstrated high predictive accuracy of chronological age (r = 0.97, RMSE = 5.4 years) and was more significantly associated with mortality than PhenoAge. In MitoHealth, delta MoveIt! Age showed differences between young adults and older adults who were normal, healthy, or health-impaired, with MoveIt! Age more significantly associated with muscle NADlevels (r = -0.37, p = 0.023) than chronological age (p = 0.416). Delta MoveIt! Age associated more strongly than other clocks with physical function outcomes, including frailty, handgrip strength, and functional performance. These findings support MoveIt! Age as a practical tool to gain insights into biological age in both clinical and community settings. +

Full Text

Full text is available at the source.

View Full Text ↗

Step count-based measure that estimates biological age in adults living at home and older patients in rehabilitation

Abstract

Full Text

You found one interesting study. We’ll send the next 7.

what lands in your inbox each week:

Recent issues from the longevity & aging brief

Abstract

Full Text

Related papers

You found one interesting study. We’ll send the next 7.

what lands in your inbox each week:

Recent issues from the longevity & aging brief