Evidence map›Paper›PMID 34562073›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2022

Objectively Measured Patterns of Daily Physical Activity and Phenotypic Frailty.

Amal A Wanigatunga, Yurun Cai, Jacek K Urbanek, Christine M Mitchell, David L Roth, Edgar R Miller, Erin D Michos, Stephen P Juraschek, Jeremy Walston, Qian-Li Xue and 2 more

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
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

27 citing papers in PubMed.

  1. Trial
  2. Article
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  5. Differences in Physical Activity Assessed by Accelerometry across Hemodialysis Days and Shifts.Clinical journal of the American Society of Nephrology : CJASN · 2026
    Article
  6. Article
  7. Article
  8. Frailty and physical activity: are all physical activity variables equal?The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Physical Activity Fragmentation and Falls in Older Adults: Findings From the National Health and Aging Trends Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    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

12 authors.

Amal A WanigatungaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0002-5763-5184
Yurun CaiDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0001-8264-8158
Jacek K UrbanekDivision of Geriatric Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-1890-8899
Christine M MitchellDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
David L RothCenter on Aging and Health, Johns Hopkins University and Medical Institutions, Baltimore, Maryland, USA.ORCID 0000-0003-2105-0536
Edgar R MillerWelch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University and Medical Institutions, Baltimore, Maryland, USA.
Erin D MichosWelch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University and Medical Institutions, Baltimore, Maryland, USA.ORCID 0000-0002-5547-5084
Stephen P JuraschekDivision of General Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School Teaching Hospital, Boston, Massachusetts, USA.ORCID 0000-0003-4168-2696
Jeremy WalstonDivision of Geriatric Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Qian-Li XueCenter on Aging and Health, Johns Hopkins University and Medical Institutions, Baltimore, Maryland, USA.ORCID 0000-0001-8818-7444
Lawrence J AppelDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Jennifer A SchrackDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0001-9244-9267

Funding

QAQC Johns Hopkins Institute for Clinical and Translational ResearchUL1TR003098 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2019 to 2023
$57.7M
Technological Assessment and Solutions Core - RC4P30AG021334 · NIA · JOHNS HOPKINS UNIVERSITY · PI Jeremy D Walston · 2003 to 2026
$33.2M
Research BaseP30DK072488 · NIDDK · UNIVERSITY OF MARYLAND BALTIMORE · PI MITCHELL, BRAXTON D · 2005 to 2019
$17.3M
Vitamin D Supplements to Prevent Falls in Older Adults: A Dose-Response TrialU01AG047837 · NIA · JOHNS HOPKINS UNIVERSITY · PI APPEL, LAWRENCE JOHN · 2014 to 2019
$9.5M
The Johns Hopkins Alzheimer's Disease Resource Center for Minority Aging Research - Research Ed ComponentP30AG059298 · NIA · JOHNS HOPKINS UNIVERSITY · PI Joseph John Gallo, ROLAND J. THORPE · 2018 to 2026
$7.1M
NCATS NIH HHS UL1 TR003098NIA NIH HHS P30 AG021334NIA NIH HHS P30 AG059298NIA NIH HHS U01 AG047837NIDDK NIH HHS P30 DK072488
6 · The paper itself

Abstract

backgroundSelf-reported low physical activity is a defining feature of phenotypic frailty but does not adequately capture physical activity performed throughout the day. This study examined associations between accelerometer-derived patterns of routine daily physical activity and frailty.

methodsWrist accelerometer and frailty data from 638 participants (mean age 77 [SD = 5.5] years; 44% women) were used to derive 5 physical activity metrics: active minutes/day, sedentary minutes/day, total activity counts/day, activity fragmentation (reciprocal of the average active bout length), and sedentary fragmentation (reciprocal of the average sedentary bout length). Robust, prefrail, and frail statuses were identified using the physical frailty phenotype defined as having 0, 1-2, or ≥3 of the following criterion: weight loss, exhaustion, slowness, self-reported low activity, and weakness. Frailty was collapsed into not frail (robust and prefrail) and frail, and each frailty criteria was dichotomized. Multiple logistic regression was used to model each accelerometer metric. Separate frailty criteria and interactions with age and sex were also examined.

resultsWith higher amounts and intensity of daily activity (more active minutes, fewer sedentary minutes, higher activity counts) and lower activity fragmentation, the odds of frailty were lower compared to robust/prefrail states (p < .02 for all). For interactions, only an age by sedentary fragmentation interaction on the odds of frailty was observed (p = .01). For each separate criteria, accelerometer metrics were associated with odds of slowness, low activity, and weakness.

conclusionLess favorable patterns of objectively measured daily physical activity are associated with frailty and the components of slowness, low self-reported activity, and weakness.

Indexed as

FrailtyAgedExerciseFemaleFrail ElderlyGeriatric AssessmentHumansMalePhenotypeAccelerometerActivity fragmentationOlder adultsPrefrailRobustSedentary

Identifiers

PMID34562073
PMCPMC9434427

What OpenQuestion holds

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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.