Evidence map›Paper›PMID 31801480›Full record

Observational studyBMC nephrology2019

Standardising the measurement of physical activity in people receiving haemodialysis: considerations for research and practice.

Hannah M L Young, Mark W Orme, Yan Song, Maurice Dungey, James O Burton, Alice C Smith, Sally J Singh

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC nephrology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Guideline
  2. Trial
  3. Trial
  4. Article
  5. Article
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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 2 institutions in 2 countries.

Hannah M L YoungDepartment of Respiratory Science, University of Leicester, Leicester Kidney Lifestyle Team, Academic Unit, Leicester General Hospital, Gwendolen Road, Leicester, LE4 5PW, UK. Hannah.young@uhl-tr.nhs.uk.ORCID 0000-0002-4249-9060
Mark W OrmeDepartment of Respiratory Science, University of Leicester, Leicester Kidney Lifestyle Team, Academic Unit, Leicester General Hospital, Gwendolen Road, Leicester, LE4 5PW, UK.
Yan SongDepartment of Health Sciences, University of Leicester, Leicester, UK.
Maurice DungeyDepartment of Cardiovascular Science, University of Leicester, Leicester, UK.
James O BurtonDepartment of Cardiovascular Science, University of Leicester, Leicester, UK.
Alice C SmithDepartment of Health Sciences, University of Leicester, Leicester, UK.
Sally J SinghDepartment of Respiratory Science, University of Leicester, Leicester Kidney Lifestyle Team, Academic Unit, Leicester General Hospital, Gwendolen Road, Leicester, LE4 5PW, UK.
University of Leicester · GBLoughborough University · GB

Funding

Department of Health CS-2013-13-014Department of Health DRF-2016-09-015
6 · The paper itself

Abstract

backgroundPhysical activity (PA) is exceptionally low amongst the haemodialysis (HD) population, and physical inactivity is a powerful predictor of mortality, making it a prime focus for intervention. Objective measurement of PA using accelerometers is increasing, but standard reporting guidelines essential to effectively evaluate, compare and synthesise the effects of PA interventions are lacking. This study aims to (i) determine the measurement and processing guidance required to ensure representative PA data amongst a diverse HD population, and; (ii) to assess adherence to PA monitor wear amongst HD patients.

methodsClinically stable HD patients from the UK and China wore a SenseWear Armband accelerometer for 7 days. Step count between days (HD, Weekday, Weekend) were compared using repeated measures ANCOVA. Intraclass correlation coefficients (ICCs) determined reliability (≥0.80 acceptable). Spearman-Brown prophecy formula, in conjunction with a priori ≥  80% sample size retention, identified the minimum number of days required for representative PA data.

resultsSeventy-seven patients (64% men, mean ± SD age 56 ± 14 years, median (interquartile range) time on HD 40 (19-72) months, 40% Chinese, 60% British) participated. Participants took fewer steps on HD days compared with non-HD weekdays and weekend days (3402 [95% CI 2665-4140], 4914 [95% CI 3940-5887], 4633 [95% CI 3558-5707] steps/day, respectively, p < 0.001). PA on HD days were less variable than non-HD days, (ICC 0.723-0.839 versus 0.559-0.611) with ≥ 1 HD day and ≥  3 non-HD days required to provide representative data. Using these criteria, the most stringent wear-time retaining ≥ 80% of the sample was ≥7 h.

conclusionsAt group level, a wear-time of ≥7 h on ≥1HD day and ≥ 3 non-HD days is required to provide reliable PA data whilst retaining an acceptable sample size. PA is low across both HD and non- HD days and future research should focus on interventions designed to increase physical activity in both the intra and interdialytic period.

Indexed as

Renal DialysisSedentary BehaviorAccelerometryAdultAgedCross-Sectional StudiesExerciseFemaleHumansMaleMiddle AgedReference StandardsAccelerometryEnd-stage renal diseaseExerciseHaemodialysisPhysical activity

Identifiers

PMID31801480
PMCPMC6894215
OpenAlexW2994095171

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.