Evidence map›Paper›PMID 31065597›Full record

ArticleInnovation in aging2019

Cognitive Function as a Predictor of Major Mobility Disability in Older Adults: Results From the LIFE Study.

Elizabeth P Handing, Haiying Chen, W Jack Rejeski, Andrea L Rosso, Anoop T Balachandran, Abby C King, Stephen B Kritchevsky

Open access · greenAbstract read
In one paragraph

Article in Innovation in aging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.5field-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

7 citing papers in PubMed, 13 citations in OpenAlex.

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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

7 authors at 4 institutions in 1 country.

Elizabeth P HandingDepartment of Internal Medicine, Sticht Center for Healthy Aging and Alzheimer's Prevention.
Haiying ChenDepartment of Biostatistical Sciences, Wake Forest School of Medicine, Winston - Salem, North Carolina.
W Jack RejeskiDepartment of Health and Exercise Science, Wake Forest School of Medicine, Winston - Salem, North Carolina.
Andrea L RossoDepartment of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pennsylvania.
Anoop T BalachandranDepartment of Aging and Geriatric Research, Institute on Aging, College of Medicine, University of Florida, Gainesville.
Abby C KingDivision of Epidemiology, Department of Health Research and Policy, and the Stanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, California.
Stephen B KritchevskyDepartment of Internal Medicine, Sticht Center for Healthy Aging and Alzheimer's Prevention.ORCID 0000-0003-3336-6781
Wake Forest University · USQueens College, CUNY · USStanford University · USUniversity of Pittsburgh · US

Funding

VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JENNIFER S BRACH · 2004 to 2026
$28.6M
University of Florida Older Americans Independence Center (OAIC)P30AG028740 · NIA · UNIVERSITY OF FLORIDA · PI CHRISTIAAN LEEUWENBURGH · 2007 to 2026
$22.8M
NIA NIH HHS P30 AG024827NIA NIH HHS P30 AG028740
6 · The paper itself

Abstract

BACKGROUND AND

objectivesMany cross-sectional studies have confirmed a link between gait speed and cognitive function. However, it is unknown whether cognitive function plays a role in the onset of major mobility disability (MMD) and if the effects are independent of physical function. This study examined cognitive and physical function as predictors of MMD across an average of 2.6 years of follow-up in community-dwelling older adults with compromised mobility. RESEARCH DESIGN AND

methodData were collected from 1,635 participants in the Lifestyle Interventions and Independence for Elders (LIFE) study ages 70-89 years free of MMD at baseline. MMD was assessed every 6 months and defined as the inability to walk 400 m in ≤15 min without assistance or sitting. Cognitive function was assessed at baseline, 18 months, and 24 months using a cognitive battery categorized into four domains: global cognitive function, processing speed, verbal memory, and executive function.

resultsAcross the study duration of 2.6 years, 536 participants (32.8%) developed MMD. Cox Proportional Hazard models indicated a protective relationship for higher baseline processing speed (Hazard Ratio [HR] per standard deviation: 0.86, DISCUSSION AND IMPLICATIONS: In the LIFE study, processing speed at baseline and follow-up was a significant predictor of subsequent MMD although the observed association may be explained by physical function as reflected in gait speed. More studies are needed to understand how cognitive function, alone and in combination with physical function, influences risk of MMD.

Indexed as

CognitionDisabilitiesFunction/mobility

Identifiers

PMID31065597
PMCPMC6499408
OpenAlexW2947918844

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.