Evidence map›Paper›PMID 31890467›Full record

ReviewPreventive medicine reports2019

Calibration and validation of accelerometry to measure physical activity in adult clinical groups: A systematic review.

Mayara S Bianchim, Melitta A McNarry, Lillebeth Larun, Kelly A Mackintosh, ActiveYouth SRC group, Applied Sports Science Technology, Medicine Research Centre

Abstract readReview
In one paragraph

Review in Preventive medicine reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. The 2025 European Cystic Fibrosis Society position statement on physical activity assessment in cystic fibrosis.European respiratory review : an official journal of the European Respiratory Society · 2025
    Guideline
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Accelerometer Calibration: The Importance of Considering Functionality.Journal for the measurement of physical behaviour · 2021
    Article
  9. 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

5 authors.

Mayara S BianchimSchool of Sport and Exercise Sciences, Swansea University, Bay Campus, Fabian Way, SA1 8EN Swansea, Wales, United Kingdom.
Melitta A McNarrySchool of Sport and Exercise Sciences, Swansea University, Bay Campus, Fabian Way, SA1 8EN Swansea, Wales, United Kingdom.
Lillebeth LarunNorwegian Institute of Public Health, Division of Health Services, PO Box 222, Skøyen N-0213, Oslo, Norway.
Kelly A MackintoshSchool of Sport and Exercise Sciences, Swansea University, Bay Campus, Fabian Way, SA1 8EN Swansea, Wales, United Kingdom.
ActiveYouth SRC group, Applied Sports Science Technology, Medicine Research Centre

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A growing body of research calibrating and validating accelerometers to classify physical activity intensities has led to a range of cut-points. However, the applicability of current calibration protocols to clinical populations remains to be addressed. The aim of this review was to evaluate the accuracy of the methods for calibrating and validating of accelerometers to estimate physical activity intensity thresholds for clinical populations. Six databases were searched between March and July to 2017 using text words and subject headings. Studies developing moderate-to-vigorous intensity physical activity cut-points for adult clinical populations were included. The risk of bias was assessed using the health measurement instruments and a specific checklist for calibration studies. A total of 543,741 titles were found and 323 articles were selected for full-text assessment, with 11 meeting the inclusion criteria. Twenty-three different methods for calibration were identified using different models of ActiGraph and Actical accelerometers. Disease-specific cut-points ranged from 591 to 2717 counts·min

Indexed as

ActiGraphCut-pointsDisease-specificMedical conditionsMotion

Identifiers

PMID31890467
PMCPMC6931234

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.