ArticleBMC nephrology2020
Minimum accelerometer wear-time for reliable estimates of physical activity and sedentary behaviour of people receiving haemodialysis.
Article in BMC nephrology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 45 citations in OpenAlex.
- Trial
- Patterns and correlates of sedentary behaviour among people with multiple sclerosis: a cross-sectional study.Scientific reports · 2021Trial
- How Many Days Do We Need? Defining Reliable ActivPAL Monitoring Protocols for Distinct Movement Behaviors in Office Workers.Scandinavian journal of medicine & science in sports · 2026Article
- A combined progressive muscle relaxation and walking intervention for adults with end-stage kidney disease receiving hemodialysis (Contemporary clinical trials communications · 2026Article
- Determining Cluster-Specific Differences in the Number of Days Required to Reliably Predict Habitual Physical Activity: Intraclass Correlation Resampling Analysis.JMIR mHealth and uHealth · 2026Article
- A Digital Health Framework to Assess Glycemia and Physical Activity in Kidney Transplant Candidates: A Pilot Study.Transplantation direct · 2026Article
- Robust forecasting of sedentary bouts in chronic pelvic pain disorders for on-device learning and real-time deployment.npj women's health · 2026Article
- Characterization and clustering of intra-day physical activity patterns using accelerometry among sexual and gender minority adults.BMC public health · 2025Article
- Physical activity and sedentary behavior in peritoneal dialysis patients: a comparative analysis of ActiGraph GT3X data collected via wrist and waist with placement-specific cut-points.BMC nephrology · 2025Article
- Characterizing daily physical activity patterns with unsupervised learning via functional mixture models.Journal of behavioral medicine · 2025Article
- To Identify and Compare ActivPAL Objectively Measured Activity Levels With Self-Reported Activity From the International Physical Activity Questionnaire in Older Adults With Intellectual Disability.Journal of applied research in intellectual disabilities : JARID · 2025Article
- Using wearable technology to objectively investigate physical behaviour and determine health outcomes of a physical activity intervention in patients with psoriasis.Skin health and disease · 2024Article
- Impact of physical activity on surrogate markers of cardiovascular disease in the haemodialysis population.Clinical kidney journal · 2024Article
- Diagnostic accuracy of step count as an indicator of sedentary behavior in patients with end-stage kidney disease on hemodialysis.Journal of nephrology · 2024Article
- Determining minimum number of valid days for accurate estimation of sedentary behaviour and awake-time movement behaviours using the ActivPAL3 in nursing home residents.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2023Article
- Use of a wearable accelerometer to evaluate physical frailty in people receiving haemodialysis.BMC nephrology · 2023Article
- Detection and Monitoring of Viral Infections via Wearable Devices and Biometric Data.Annual review of biomedical engineering · 2022Review
- Physical activity moderates the association between executive function and functional connectivity in older adults.Aging brain · 2022Article
- Feasibility and acceptability of a technology-based, rural weight management intervention in older adults with obesity.BMC geriatrics · 2021Article
- Feasibility of Using Accelerometer Measurements to Assess Habitual Physical Activity in Rural Heart Failure Patients.Geriatrics (Basel, Switzerland) · 2017Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLow levels of physical activity are implicated in low life expectancies of people receiving maintenance haemodialysis. Accelerometers are increasingly being used to quantify activity behaviours of this population but guidance to quality-assure such data is lacking. The objective of this study was to provide data processing and reduction recommendations to ensure accelerometer-derived outcomes are sufficiently reliable for interpretative analysis.
methodsSeventy people receiving maintenance haemodialysis (age 55.9 ± 15.7 years, 34% women, 23% diabetic) from a single outpatient renal unit volunteered for the study. Participants wore Actigraph GT3x and ActivPAL monitors during waking hours over seven days. Reliability of accelerometer output (normalised to wear-time) was assessed via intraclass correlation coefficient (ICC). The Spearman-Brown prophecy formula was subsequently applied to the ICCs to derive the minimum required accelerometer wear-time for each behavioural outcome.
resultsMonitor wear compliance was greater on dialysis compared to non-dialysis days (90% v 77%). Participants were significantly more active on non-dialysis days compared to dialysis days but there were no significant differences in estimated behaviours between days within the same condition. Average measure ICCs for all accelerometer outcomes were high (range 0.76-0.96). Computations indicated that habitual physical activity and sedentary behaviour could be estimated with a minimum reliability level of 0.80 from one dialysis day and two non-dialysis days, and at least eight hours monitor wear per day. Applying this rubric allowed 90% of participant data to be retained for further analysis.
conclusionsRegardless of accelerometer, one dialysis and two non-dialysis days data with a minimum of eight hours wear each day should enable habitual activity of people receiving maintenance haemodialysis to be characterised with acceptable reliability. These recommendations reconcile the tension between wear-time criteria stringency and retention of an adequately representative sample.
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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.