Evidence map›Paper›PMID 34695249›Full record

ArticleScandinavian journal of medicine & science in sports2022

Advanced analytical methods to assess physical activity behavior using accelerometer time series: A scoping review.

Anne Backes, Tripti Gupta, Susanne Schmitz, Guy Fagherazzi, Vincent van Hees, Laurent Malisoux

Abstract readScoping Review
In one paragraph

Article in Scandinavian journal of medicine & science in sports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

  1. Pooled it
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  3. Observational
  4. Article
  5. Not just how much, but how it's done: movement activity bout distributions and everyday cognition in older adults with elevated dementia risk.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2026
    Article
  6. Association of physical activity and rest-activity rhythm with sustained attention and melatonin among community-dwelling older adults.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2026
    Article
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  9. Review
  10. Review
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  16. Observational
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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

6 authors.

Anne BackesPhysical Activity, Sport and Health Research Group, Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg.ORCID https://orcid.org/0000-0003-2026-5762
Tripti GuptaPhysical Activity, Sport and Health Research Group, Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg.
Susanne SchmitzCompetence Center for Methodology and Statistics, Luxembourg Institute of Health, Strassen, Luxembourg.
Guy FagherazziDeep Digital Phenotyping Research Unit, Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg.ORCID https://orcid.org/0000-0001-5033-5966
Vincent van HeesDepartment of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0003-0182-9008
Laurent MalisouxPhysical Activity, Sport and Health Research Group, Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg.ORCID https://orcid.org/0000-0002-6601-5630

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physical activity (PA) is a complex human behavior, which implies that multiple dimensions need to be taken into account in order to reveal a complete picture of the PA behavior profile of an individual. This scoping review aimed to map advanced analytical methods and their summary variables, hereinafter referred to as wearable-specific indicators of PA behavior (WIPAB), used to assess PA behavior. The strengths and limitations of those indicators as well as potential associations with certain health-related factors were also investigated. Three databases (MEDLINE, Embase, and Web of Science) were screened for articles published in English between January 2010 and April 2020. Articles, which assessed the PA behavior, gathered objective measures of PA using tri-axial accelerometers, and investigated WIPAB, were selected. All studies reporting WIPAB in the context of PA monitoring were synthesized and presented in four summary tables: study characteristics, details of the WIPAB, strengths, and limitations, and measures of association between those indicators and health-related factors. In total, 7247 records were identified, of which 24 articles were included after assessing titles, abstracts, and full texts. Thirteen WIPAB were identified, which can be classified into three different categories specifically focusing on (1) the activity intensity distribution, (2) activity accumulation, and (3) the temporal correlation and regularity of the acceleration signal. Only five of the thirteen WIPAB identified in this review have been used in the literature so far to investigate the relationship between PA behavior and health, while they may provide useful additional information to the conventional PA variables.

Indexed as

Motor ActivityText MessagingAccelerometryExerciseHumansTime Factorsaccelerometryalgorithmdata processingphysical activity patternwearable sensors

Identifiers

PMID34695249
PMCPMC9298329

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.