Evidence map›Paper›PMID 31246244›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2020

Different Combinations of Mobility Metrics Derived From a Wearable Sensor Are Associated With Distinct Health Outcomes in Older Adults.

Aron S Buchman, Robert J Dawe, Sue E Leurgans, Thomas A Curran, Timothy Truty, Lei Yu, Lisa L Barnes, Jeffrey M Hausdorff, David A Bennett

Open access · bronzeAbstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 3 pooled it
2.5field-weighted citation impact, top 12% 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, 3 syntheses or guidelines pooled it, 54 citations in OpenAlex.

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  11. Mobility Abilities Mediate the Association of a More Active Lifestyle With Mobility Disability in Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
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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

9 authors at 3 institutions in 2 countries.

Aron S BuchmanRush Alzheimer's Disease Center, Chicago, Illinois.
Robert J DaweRush Alzheimer's Disease Center, Chicago, Illinois.
Sue E LeurgansRush Alzheimer's Disease Center, Chicago, Illinois.
Thomas A CurranRush Alzheimer's Disease Center, Chicago, Illinois.
Timothy TrutyRush Alzheimer's Disease Center, Chicago, Illinois.
Lei YuRush Alzheimer's Disease Center, Chicago, Illinois.
Lisa L BarnesRush Alzheimer's Disease Center, Chicago, Illinois.
Jeffrey M HausdorffRush Alzheimer's Disease Center, Chicago, Illinois.
David A BennettRush Alzheimer's Disease Center, Chicago, Illinois.
Rush University · USNeurological Surgery · USRush University Medical Center · US

Funding

EPIDEMIOLOGY OF NEURAL RESERVE AND NEUROBIOLOGY IN AGINGR01AG017917 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2001 to 2023
$43.3M
Risk Factors for Cognitive Decline in African-AmericansR01AG022018 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BARNES, LISA L · 2004 to 2025
$18.2M
Racial Differences in Late-Life Cognitive Decline and Risk of Alzheimer's DiseaseRF1AG022018 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BARNES, LISA L · 2016 to 2019
$6.6M
Impaired Gait in Older Adults: Pathologies of Alzheimer's disease and Related DisordersR01AG056352 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BUCHMAN, ARON S · 2017 to 2021
$3.5M
The Clinical Profile of Parkinson's Disease (PD) PathologyR01NS078009 · NINDS · RUSH UNIVERSITY MEDICAL CENTER · PI BUCHMAN, ARON S · 2012 to 2016
$2.4M
Elucidating the Molecular Drivers of Impaired Mobility Within and Outside the CNS in Alzheimer's Disease and Related DisordersR56AG059732 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BUCHMAN, ARON S · 2018 to 2018
$758k
Quantifying Lower Extremity Joint Motion in Community-Dwelling Older Adults to Elucidate its Contributions to Mobility Limitations, Incident Mobility Disability, and FallsK25AG061254 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI DAWE, ROBERT J · 2019 to 2022
$579k
NIA NIH HHS K25 AG061254NIA NIH HHS R01 AG017917NIA NIH HHS R01 AG022018NIA NIH HHS R01 AG056352NIA NIH HHS R56 AG059732NIA NIH HHS RF1 AG022018NINDS NIH HHS R01 NS078009
6 · The paper itself

Abstract

backgroundGait speed is a robust nonspecific predictor of health outcomes. We examined if combinations of gait speed and other mobility metrics are associated with specific health outcomes.

methodsA sensor (triaxial accelerometer and gyroscope) placed on the lower back, measured mobility in the homes of 1,249 older adults (77% female; 80.0, SD = 7.72 years). Twelve gait scores were extracted from five performances, including (a) walking, (b) transition from sit to stand, (c) transition from stand to sit, (d) turning, and (e) standing posture. Using separate Cox proportional hazards models, we examined which metrics were associated with time to mortality, incident activities of daily living disability, mobility disability, mild cognitive impairment, and Alzheimer's disease dementia. We used a single integrated analytic framework to determine which gait scores survived to predict each outcome.

resultsDuring 3.6 years of follow-up, 10 of the 12 gait scores predicted one or more of the five health outcomes. In further analyses, different combinations of 2-3 gait scores survived backward elimination and were associated with the five outcomes. Sway was one of the three scores that predicted activities of daily living disability but was not included in the final models for other outcomes. Gait speed was included along with other metrics in the final models predicting mortality and activities of daily living disability but not for other outcomes.

conclusionsWhen analyzing multiple mobility metrics together, different combinations of mobility metrics are related to specific adverse health outcomes. Digital technology enhances our understanding of impaired mobility and may provide mobility biomarkers that predict distinct health outcomes.

Indexed as

Walking SpeedWearable Electronic DevicesAccelerometryActivities of Daily LivingAged, 80 and overCognitive DysfunctionGaitGeriatric AssessmentHumansMaleMobility LimitationMortalityMovementProportional Hazards ModelsWalkingAgingGaitHealth outcomesWearable sensor

Identifiers

PMID31246244
PMCPMC8456516
OpenAlexW2955310379

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.