Evidence map›Paper›PMID 37112493›Full record

ArticleSensors (Basel, Switzerland)2023

Correlates of Person-Specific Rates of Change in Sensor-Derived Physical Activity Metrics of Daily Living in the Rush Memory and Aging Project.

Aron S Buchman, Tianhao Wang, Shahram Oveisgharan, Andrea R Zammit, Lei Yu, Peng Li, Kun Hu, Jeffrey M Hausdorff, Andrew S P Lim, David A Bennett

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

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  5. Review
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

10 authors at 3 institutions in 3 countries.

Aron S BuchmanRush Alzheimer's Disease Center, Department of Neurological Sciences, Rush University Medical Center, Chicago, IL 60612, USA.ORCID 0000-0002-6426-2742
Tianhao WangRush Alzheimer's Disease Center, Department of Neurological Sciences, Rush University Medical Center, Chicago, IL 60612, USA.
Shahram OveisgharanRush Alzheimer's Disease Center, Department of Neurological Sciences, Rush University Medical Center, Chicago, IL 60612, USA.
Andrea R ZammitRush Alzheimer's Disease Center, Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL 60612, USA.
Lei YuRush Alzheimer's Disease Center, Department of Neurological Sciences, Rush University Medical Center, Chicago, IL 60612, USA.
Peng LiMedical Biodynamics Program, Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA 02115, USA.
Kun HuMedical Biodynamics Program, Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA 02115, USA.ORCID 0000-0003-0350-3132
Jeffrey M HausdorffRush Alzheimer's Disease Center, Department of Orthopedic Surgery, Rush University Medical Center, Chicago, IL 60612, USA.ORCID 0000-0002-1608-0776
Andrew S P LimDivision of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON M4N 3M5, Canada.
David A BennettRush Alzheimer's Disease Center, Department of Neurological Sciences, Rush University Medical Center, Chicago, IL 60612, USA.
Rush University Medical Center · USBrigham and Women's Hospital · USSunnybrook Health Science Centre · CA

Funding

EPIDEMIOLOGY OF NEURAL RESERVE AND NEUROBIOLOGY IN AGINGR01AG017917 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2001 to 2023
$43.3M
Identifying resilience proteins in key motor tissues that drive motor and cognitive decline and offset the negative effects of ADRD pathologies within and outside the brainR01AG075728 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI ARON S BUCHMAN · 2022 to 2026
$6.9M
Integrative Motor Activity Biomarker for the Risk of Alzheimer's RiskRF1AG064312 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI HU, KUN · 2019 to 2019
$3.6M
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
Thinking about walking: Can digital phenotyping of mobility improve the prediction of Alzheimer's dementia and inform on the pathologies and proteins contributing to this association?R01AG079133 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI ARON S BUCHMAN · 2022 to 2026
$3.5M
Sleep, Circadian Rhythms, and Mechanisms of Cognitive Decline in the Human BrainR01AG052488 · NIA · SUNNYBROOK RESEARCH INSTITUTE · PI LIM, ANDREW · 2017 to 2021
$3.3M
Fractal motor activity regulation and the risk for Alzheimers disease in middle-to-old aged adultsRF1AG059867 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI HU, KUN · 2018 to 2018
$2.7M
Application of latent and integrative approaches to understand the spectrum of cognitive agingK01AG054700 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI ZAMMIT, ANDREA ROSE · 2017 to 2021
$653k
NIA NIH HHS K01 AG054700NIA NIH HHS R01 AG017917NIA NIH HHS R01 AG052488NIA NIH HHS R01 AG056352NIA NIH HHS R01 AG075728NIA NIH HHS R01 AG079133NIA NIH HHS RF1 AG059867NIA NIH HHS RF1 AG064312NIH HHS K01AG054700NIH HHS R01AG17917NIH HHS R01AG56352NIH HHS R01AG75728NIH HHS R01AG79133NIH HHS RF1AG59867NIH HHS RF1AG64312
6 · The paper itself

Abstract

This study characterized person-specific rates of change of total daily physical activity (TDPA) and identified correlates of this change. TDPA metrics were extracted from multiday wrist-sensor recordings from 1083 older adults (average age 81 years; 76% female). Thirty-two covariates were collected at baseline. A series of linear mixed-effect models were used to identify covariates independently associated with the level and annual rate of change of TDPA. Though, person-specific rates of change varied during a mean follow-up of 5 years, 1079 of 1083 showed declining TDPA. The average decline was 16%/year, with a 4% increased rate of decline for every 10 years of age older at baseline. Following variable selection using multivariate modeling with forward and then backward elimination, age, sex, education, and 3 of 27 non-demographic covariates including motor abilities, a fractal metric, and IADL disability remained significantly associated with declining TDPA accounting for 21% of its variance (9% non-demographic and 12% demographics covariates). These results show that declining TDPA occurs in many very old adults. Few covariates remained correlated with this decline and the majority of its variance remained unexplained. Further work is needed to elucidate the biology underlying TDPA and to identify other factors that account for its decline.

Indexed as

AgingPersons with DisabilitiesActivities of Daily LivingAgedAged, 80 and overExerciseFemaleHumansLongitudinal StudiesMaleaginglinear mixed-effect modelmultivariate modelingphysical activitywearable sensors

Identifiers

PMID37112493
PMCPMC10142139
OpenAlexW4366775507

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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 OpenQuestion graph.