ArticleFrontiers in aging2021
Biological Age Prediction From Wearable Device Movement Data Identifies Nutritional and Pharmacological Interventions for Healthy Aging.
Article in Frontiers in aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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.
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.
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Who cites it
12 citing papers in PubMed, 21 citations in OpenAlex.
- Enhancing Healthy Longevity: Scoping Review of Practices and Interventions.Interactive journal of medical research · 2026Review
- From the lab to lifestyle: epigenetic clocks in personalized aging and health.Biogerontology · 2026Review
- Article
- Cellular Senescence in the Ascending Aorta and Complexity of Coronary Atherosclerosis.Journal of aging research · 2026Article
- Recommendations for biomarker data collection in clinical trials by longevity biotechnology companies.npj aging · 2025Article
- Nutritional associations with decelerated epigenetic aging: vegan diet in a Dutch population.Clinical epigenetics · 2025Article
- From bench to bedside: translational insights into aging research.Frontiers in aging · 2025Review
- Article
- Retinal microvascular complexity as a putative biomarker of biological age: a pilot study.Biogerontology · 2023Article
- A set of common buccal CpGs that predict epigenetic age and associate with lifespan-regulating genes.iScience · 2022Article
- Human age reversal: Fact or fiction?Aging cell · 2022Review
- Considerations Regarding Public Use of Longevity Interventions.Frontiers in aging · 2022Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
Intervening in aging processes is hypothesized to extend healthy years of life and treat age-related disease, thereby providing great benefit to society. However, the ability to measure the biological aging process in individuals, which is necessary to test for efficacy of these interventions, remains largely inaccessible to the general public. Here we used NHANES physical activity accelerometer data from a wearable device and machine-learning algorithms to derive biological age predictions for individuals based on their movement patterns. We found that accelerated biological aging from our "MoveAge" predictor is associated with higher all-cause mortality. We further searched for nutritional or pharmacological compounds that associate with decelerated aging according to our model. A number of nutritional components peak in their association to decelerated aging later in life, including fiber, magnesium, and vitamin E. We additionally identified one FDA-approved drug associated with decelerated biological aging: the alpha-blocker doxazosin. We show that doxazosin extends healthspan and lifespan in
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Registered trials
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.