Evidence map›Paper›PMID 37675031›Full record

ArticleFrontiers in nephrology2022

Physical activity is a potential measure of physical resilience in older adults receiving hemodialysis.

Anika Lucas, Jeanette Rutledge, Richard Sloane, Katherine Hall, Ciara Green, Carl Pieper, Cathleen Colón-Emeric, Rasheeda Hall

Open access · diamondAbstract read
In one paragraph

Article in Frontiers in nephrology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

8 authors at 1 institution in 1 country.

Anika LucasDurham Veterans Affairs Healthcare System, Renal Section, Durham, NC, United States.
Jeanette RutledgeDepartment of Medicine, Division of Nephrology, Duke University, Durham, NC, United States.
Richard SloaneCenter for the Study of Aging and Human Development, Duke University, Durham, NC, United States.
Katherine HallCenter for the Study of Aging and Human Development, Duke University, Durham, NC, United States.
Ciara GreenDepartment of Medicine, Division of Nephrology, Duke University, Durham, NC, United States.
Carl PieperCenter for the Study of Aging and Human Development, Duke University, Durham, NC, United States.
Cathleen Colón-EmericCenter for the Study of Aging and Human Development, Duke University, Durham, NC, United States.
Rasheeda HallDurham Veterans Affairs Healthcare System, Renal Section, Durham, NC, United States.
Duke University · US

Funding

Deprescribing for Older Dialysis PatientsK76AG059930 · NIA · DUKE UNIVERSITY · PI HALL, RASHEEDA K · 2018 to 2022
$1.2M
NIA NIH HHS K76 AG059930
6 · The paper itself

Abstract

Background: Physical resilience, or the ability to recover after a physical stressor, declines with aging. Efforts to preserve physical resilience in the older dialysis population are critically needed; however, validated, patient-centered measures that are sensitive to change are also needed. Our objective was to assess accelerometer-derived step count variability, or a measure of intra-individual variation in physical activity, as a potential measure of physical resilience among older adults receiving hemodialysis. Methods: Community-dwelling ambulatory older adults receiving in-center hemodialysis were prospectively enrolled. Participants wore wrist accelerometers during daytime hours on both dialysis and non-dialysis days up to 14 days, and the feasibility of accelerometer use was assessed from wear time. We used accelerometer data to compute step counts in 4-hour blocks and step count variability. Physical function was assessed with the Short Physical Performance Battery (SPPB which includes gait speed test), grip strength, activities of daily living (ADLs) instruments, and life space mobility. We assessed interval fatigue (subjective rating from 0 to 10) on dialysis and non-dialysis days and self-reported recovery time. We assessed the correlations of step count variability with measures of physical function and step count and interval fatigue. Results: Of 37 enrolled participants, 29 had sufficient accelerometer data for analyses. Among the 29 participants, mean (SD) age was 70.6(4.8) years, and 55% (n=16) were male and 72% (n=21) were Black race. Participants were largely sedentary with median (Q1-Q3) self-reported total kilocalories per week of 200 (36-552). Step count variability was positively correlated with measures of physical function: SPPB (r=0.50, p<0.05), gait speed (r=0.59, p<0.05), handgrip strength (r=0.71, p<0.05), Instrumental ADLs (r=0.44, p<0.05) and life space mobility (r=0.54, p<0.05).There was a weak inverse correlation between post-dialysis step counts (4-hour blocks after a dialysis session) and post-dialysis interval fatigue [r=-0.19 (n=102, p=0.06). Conclusions: Physical activity assessment

Indexed as

hemodialysisolder adultsphysical activityphysical functionresilience

Identifiers

PMID37675031
PMCPMC10479669
OpenAlexW4313645316

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.