Evidence mapPaperPMID 40344012Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2025

Super Movers: Epidemiology and Biology of a Novel Exceptional Aging Phenotype.

Joe Verghese, Kelly Cotton, Sanish Sathyan, Emmeline Ayers, Jeannette R Mahoney, Pierfilippo De Sanctis, Cuiling Wang, Ying Jin, Helena M Blumen, Oshadi Jayakody

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Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Joe VergheseDepartment of Neurology, Renaissance School of Medicine, Stony Brook, New York, USA.ORCID 0000-0003-4252-2547
Kelly CottonDepartment of Neurology, Albert Einstein College of Medicine, Bronx, New York, USA.
Sanish SathyanDepartment of Neurology, Renaissance School of Medicine, Stony Brook, New York, USA.ORCID 0000-0002-8127-1835
Emmeline AyersDepartment of Neurology, Renaissance School of Medicine, Stony Brook, New York, USA.
Jeannette R MahoneyDepartment of Neurology, Renaissance School of Medicine, Stony Brook, New York, USA.ORCID 0000-0003-1079-787X
Pierfilippo De SanctisDepartment of Neurology, Albert Einstein College of Medicine, Bronx, New York, USA.
Cuiling WangDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA.
Ying JinDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA.
Helena M BlumenDepartment of Neurology, Renaissance School of Medicine, Stony Brook, New York, USA.
Oshadi JayakodyDepartment of Medicine, Albert Einstein College of Medicine, Bronx, New York, USA.ORCID 0000-0001-5220-4927

Funding

Integrating Information about Aging Surveys: Novel Integration of Contextual Data to Study Late-Life Cognition and Alzheimer’s Disease and Related Dementia and Dementia CareR01AG030153 · UNIVERSITY OF SOUTHERN CALIFORNIA · 2025 to 2025
$4.8M
Einstein-Montefiore Clinical and Translational Science Award HubUM1TR004400 · ALBERT EINSTEIN COLLEGE OF MEDICINE · 2025 to 2025
$4.3M
Gait as a Preclinical Marker for Alzheimer's Disease and Dementia: insights from super-movers, usual-movers, and slow-moversR01AG089096 · STATE UNIVERSITY NEW YORK STONY BROOK · 2025 to 2025
$863k
NCATS NIH HHS UM1 TR004400NIA NIH HHS R01 AG089096NIH HHS R01 AG030153
6 · The paper itself

Abstract

backgroundAlthough gait speed typically declines with age, some individuals manage to maintain higher walking speeds well into older age. To better understand healthy longevity, we propose a novel exceptional aging phenotype of super movers, individuals 80 years or older with walking speeds comparable to individuals 3 decades younger.

methodsWe conducted a retrospective cohort study to examine the epidemiology and determinants of super mover status as well as mortality, biological aging and gait speed trajectories of super movers compared to age peers identified from 15 aging cohort studies across 24 countries.

resultsIn a pooled cohort of data from multicountry population-based surveys, prevalence of super movers ranged from 4.9% to 11.1% in individuals 80 and older, with an average overall prevalence of 7.3%. Compared to age peers, super movers exhibited lower disease prevalence, healthier lifestyles and had lower mortality rates (hazard ratios: 0.38, 95% CI: 0.09-0.66). In 2 smaller samples with gait and biological aging data and longitudinal gait assessments, compared to age-matched peers, super movers had younger biological age and showed faster gait speed from their seventh to tenth decades, respectively.

conclusionsSuper movers are an exceptional aging phenotype enriched with unique biological and clinical profiles that can provide valuable insights into healthy longevity.

Indexed as

AgingLongevityWalking SpeedAgedAged, 80 and overFemaleHumansMalePhenotypePrevalenceRetrospective StudiesCognitionEpidemiologyGaitLongevityMortalitySuccessful aging

Identifiers

PMID40344012
PMCPMC12239635

What Socratic holds

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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 Socratic graph.