Evidence map›Paper›PMID 27664990›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2017

β-Amyloid Burden Predicts Lower Extremity Performance Decline in Cognitively Unimpaired Older Adults.

Qu Tian, Susan M Resnick, Murat Bilgel, Dean F Wong, Luigi Ferrucci, Stephanie A Studenski

Open access · hybridAbstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% of its field
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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Turning as a single and dual task-associations with Alzheimer's and vascular pathologies in cognitively healthy older people.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Article
  4. Article
  5. Adolescent IQ and performance-based measures of physical function in old age: a 54-year longitudinal study.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Differences in Daily Physical Activity by Alzheimer's Risk Markers Among Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Article
  10. Sensory and motor deficits as contributors to early cognitive impairment.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Brain Changes and Fast Cognitive and Motor Decline in Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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 at 2 institutions in 2 countries.

Qu TianLongitudinal Studies Section, Translational Gerontology Branch and.
Susan M ResnickLaboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, Maryland.
Murat BilgelLaboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, Maryland.
Dean F WongDepartment of Radiology, Section of High Resolution Brain Imaging.
Luigi FerrucciLongitudinal Studies Section, Translational Gerontology Branch and.
Stephanie A StudenskiLongitudinal Studies Section, Translational Gerontology Branch and.
Johns Hopkins University · USNational Institute on Aging · US

Funding

Neuroimaging Predictors of Cognitive Decline, Impairment, and ResilienceZIAAG000191 · NIA · NATIONAL INSTITUTE ON AGING · PI FERRUCCI, LUIGI · 2009 to 2025
$26.4M
6 · The paper itself

Abstract

backgroundMotor slowing is associated with risk of Alzheimer's disease. Whether β-amyloid (Aβ) burden is associated with motor decline, independent of cognitive decline, is unknown.

methodsAbout 59 cognitively unimpaired older participants had baseline PET-PiB scans and repeated measures of lower (usual gait speed, 400-m time, Health ABC Physical Performance Battery (HABCPPB) score, total standing balance time) and upper (mean tapping time) extremity performance during a mean follow-up of 4.7 years. Linear mixed effect models examined the relationship between baseline Aβ burden and motor decline, adjusting for age, sex, body mass index, cardiovascular risk, APOE ɛ4 status, memory decline, depressive symptoms, ankle-arm index, processing speed, executive function, and cerebrovascular disease.

resultsHigher mean cortical Aβ burden was associated with greater declines in gait speed and HABCPPB score and a greater increase in 400-m time. Higher Aβ of putamen was associated with declines in all lower extremity measures, including balance. Higher Aβ of dorsolateral prefrontal cortex and lateral temporal lobe was associated with declines of gait speed and 400-m time, and of precuneus with a greater increase in 400-m time. Associations remained similar after further adjustment.

conclusionsIn cognitively unimpaired older adults, Aβ burden overall and in specific brain regions are risk factors for lower extremity motor decline, independent of memory function. These findings provide the first empirical evidence that Aβ burden is a risk factor for mobility decline in older adults.

Indexed as

AgedAged, 80 and overAmyloid beta-PeptidesFemaleGeriatric AssessmentHumansLower ExtremityMaleMiddle AgedPositron-Emission TomographyRisk FactorsAmyloid beta-PeptidesEpidemiologyGaitNeuroimaging

Identifiers

PMID27664990
PMCPMC6075426
OpenAlexW2523105407

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.