Evidence map›Paper›PMID 39771870›Full record

ArticleSensors (Basel, Switzerland)2024

The Relationship Between Daily Activity Level, Posture Distribution, Stepping Patterns, and Cadence in the BCS70 Cohort.

Craig Speirs, Matthew Ahmadi, Mark Hamer, Emmanuel Stamatakis, Malcolm Granat

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Objective Physical Activity and Sedentary Behaviour Patterns Among Informal Carers in the BCS70 Cohort.International journal of environmental research and public health · 2026
    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.

Craig SpeirsPAL Technologies Ltd., Glasgow G4 0TQ, UK.
Matthew AhmadiMackenzie Wearables Research Hub, Charles Perkins Centre, The University of Sydney, Sydney, NSW 2050, Australia.
Mark HamerDivision of Surgery and Interventional Science, Faculty of Medical Sciences, University College London, London WC1E 6BT, UK.ORCID 0000-0002-8726-7992
Emmanuel StamatakisMackenzie Wearables Research Hub, Charles Perkins Centre, The University of Sydney, Sydney, NSW 2050, Australia.
Malcolm GranatSchool of Health and Society, University of Salford, Salford M6 6PU, UK.ORCID 0000-0002-0722-2760

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the relationship between stepping-defined daily activity levels, time spent in different postures, and the patterns and intensities of stepping behaviour. Using a thigh-mounted triaxial accelerometer, physical activity data from 3547 participants with seven days of valid data were analysed. We classified days based on step count and quantified posture and stepping behaviour, distinguishing between indoor, community, and recreation stepping. The results indicated significant differences in time spent in upright (2.5 to 8.9 h,

Indexed as

AccelerometryPostureWalkingActivities of Daily LivingAdultAgedCohort StudiesExerciseFemaleHumansMaleMiddle AgedaccelerometeractivPALBCS70cadencephysical activityposturestepping

Identifiers

PMID39771870
PMCPMC11678979

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.