Evidence map›Paper›PMID 32637301›Full record

ReviewPreventive medicine reports2020

Calibration and validation of accelerometry using cut-points to assess physical activity in paediatric clinical groups: A systematic review.

Mayara S Bianchim, Melitta A McNarry, Lillebeth Larun, Alan R Barker, Craig A Williams, Kelly A Mackintosh

Open access · goldAbstract readReview
In one paragraph

Review in Preventive medicine reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  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. Trial
  3. Article
  4. Validity of PROMISBehavioral sciences (Basel, Switzerland) · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. 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

6 authors at 3 institutions in 2 countries.

Mayara S BianchimSchool of Sport and Exercise Sciences, Swansea University, Bay Campus, Swansea, Wales, UK.
Melitta A McNarrySchool of Sport and Exercise Sciences, Swansea University, Bay Campus, Swansea, Wales, UK.
Lillebeth LarunNorwegian Institute of Public Health, Division of Health Services, PO Box 222 Skøyen, N-0213 Oslo, Norway.
Alan R BarkerChildren's Health and Exercise Research Centre, University of Exeter, UK.
Craig A WilliamsChildren's Health and Exercise Research Centre, University of Exeter, UK.
Kelly A MackintoshSchool of Sport and Exercise Sciences, Swansea University, Bay Campus, Swansea, Wales, UK.
Swansea University · GBUniversity of Exeter · GBNorwegian Institute of Public Health · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Regular physical activity is associated with physiological and psychosocial benefits in both healthy and clinical populations. However, little is known about tailoring the analysis of physical activity using accelerometers to the specific characteristics of chronic conditions. Whilst accelerometry is broadly used to assess physical activity, recommendations on calibration in paediatric clinical groups are warranted. The aim of this systematic review was to provide a critical overview of protocols used to calibrate accelerometry in children and adolescents with clinical conditions, as well as to develop recommendations for calibration and validation of accelerometry in such populations. The search was performed between March to July 2017 using text words and subject headings in six databases. Studies had to develop moderate-to-vigorous intensity physical activity (MVPA) cut-points for paediatric clinical populations to be included. Risk of bias was assessed using a specific checklist. A total of 540,630 titles were identified, with 323 full-text articles assessed. Five studies involving 347 participants aged 9 to 15 years were included. Twenty-four MVPA cut-points were reported across seven clinical conditions, 16 of which were developed for different models of ActiGraph, seven for Actical and one for Tritrac-R3D. Statistical approaches included mixed regression, machine learning and receiver operating characteristic analyses. Disease-specific MVPA cut-points ranged from 152 to 735 counts·15 s

Identifiers

PMID32637301
PMCPMC7327836
OpenAlexW3035745588

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.