Evidence map›Paper›PMID 38849718›Full record

ArticleBMC medical research methodology2024

Measures of fragmentation of rest activity patterns: mathematical properties and interpretability based on accelerometer real life data.

Ian Meneghel Danilevicz, Vincent Theodoor van Hees, Frank C T van der Heide, Louis Jacob, Benjamin Landré, Mohamed Amine Benadjaoud, Séverine Sabia

Abstract read
In one paragraph

Article in BMC medical research methodology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Every move counts: but some more than others.The international journal of behavioral nutrition and physical activity · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Reliable measures of rest-activity rhythm fragmentation: how many days are needed?European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2024
    Article
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Ian Meneghel DanileviczUniversité Paris Cité, INSERM, U1153, CRESS, Epidemiology of Ageing and Neurodegenerative Diseases, 10 Av de Verdun, 75010, Paris, France.
Vincent Theodoor van HeesAccelting, Almere, the Netherlands.
Frank C T van der HeideUniversité Paris Cité, INSERM, U1153, CRESS, Epidemiology of Ageing and Neurodegenerative Diseases, 10 Av de Verdun, 75010, Paris, France.
Louis JacobUniversité Paris Cité, INSERM, U1153, CRESS, Epidemiology of Ageing and Neurodegenerative Diseases, 10 Av de Verdun, 75010, Paris, France.
Benjamin LandréUniversité Paris Cité, INSERM, U1153, CRESS, Epidemiology of Ageing and Neurodegenerative Diseases, 10 Av de Verdun, 75010, Paris, France.
Mohamed Amine Benadjaoud *Institut de Radioprotection et de Sûreté Nucléaire (IRSN), 31 Av Division Leclerc, 92260, Fontenay-Aux-Roses, France.
Séverine Sabia *Université Paris Cité, INSERM, U1153, CRESS, Epidemiology of Ageing and Neurodegenerative Diseases, 10 Av de Verdun, 75010, Paris, France. s.sabia@ucl.ac.uk.

Funding

European Union ERC 101043884French National Research Agency ANR-19-CE36-0004-01
6 · The paper itself

Abstract

Accelerometers, devices that measure body movements, have become valuable tools for studying the fragmentation of rest-activity patterns, a core circadian rhythm dimension, using metrics such as inter-daily stability (IS), intradaily variability (IV), transition probability (TP), and self-similarity parameter (named

Indexed as

AccelerometryRestAgedAged, 80 and overBayes TheoremBody Mass IndexCircadian RhythmFemaleHumansLikelihood FunctionsMaleMiddle AgedMotor ActivityCircadian rhythmDetrended fluctuation analysisInter-daily stabilityIntradaily variabilityTransition probabilityWhitehall II cohort

Identifiers

PMID38849718
PMCPMC11157888

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Registered trials

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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.