Evidence map›Paper›PMID 40017839›Full record

ReviewBMJ public health2023

Associations between device-measured physical activity and performance-based physical function outcomes in adults: a systematic review and meta-analysis.

Joshua Culverhouse, Melvyn Hillsdon, Brad Metcalf, Michael Nunns, Rebecca Lear, Gemma Brailey, Richard Pulsford

Abstract readReview
In one paragraph

Review in BMJ public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Cross-sectional associations between patterns and composition of upright and stepping events with physical function: insights from The Maastricht Study.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2024
    Article
  4. 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

7 authors.

Joshua CulverhousePublic Health and Sport Sciences, University of Exeter, Exeter, UK.ORCID 0000-0001-5345-5760
Melvyn HillsdonPublic Health and Sport Sciences, University of Exeter, Exeter, UK.
Brad MetcalfPublic Health and Sport Sciences, University of Exeter, Exeter, UK.
Michael NunnsMedical School, University of Exeter, Exeter, UK.
Rebecca LearPublic Health and Sport Sciences, University of Exeter, Exeter, UK.ORCID 0000-0002-9308-616X
Gemma BraileyPublic Health and Sport Sciences, University of Exeter, Exeter, UK.
Richard PulsfordPublic Health and Sport Sciences, University of Exeter, Exeter, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This systematic review and meta-analysis aimed to examine the association between device-measured physical activity (PA) and performance-based measures of physical function (PF). Databases searched included CINAHL, Embase, MEDLINE/PubMed, SPORTDiscus, and Web of Science (last search conducted on November 11, 2022). Observational studies (cross-sectional or prospective) reporting associations between wearable device-measured PA and PF outcomes in non-clinical adults were eligible. Forty-two studies with a pooled sample of 27 276 participants were eligible, with 34 studies reporting a standardised regression coefficient (β) between at least one of four PA measures and one of six PF outcomes. All measures of PA were positively associated with all measures of PF, except for step count with grip strength. Largest associations were seen with lower-body PF tests; gait speed (βs=0.11-0.26), walk tests (βs=0.18-0.41), chair-rise test (βs=0.10-0.26), balance (βs=0.07-0.24) and Timed Up-and-Go (βs=0.10-0.24) all p<0.01. Small or no association was seen with grip strength (βs=0.02-0.07). In observational studies of general adult populations, there were associations between multiple dimensions of PA and a broad range of PF measures. The findings provide provisional support for the use of device measures of movement to remotely monitor people for risk of low PF. Prospective designs are needed to determine the direction of the relationship. Future studies should also explore a broader range of PA metrics beyond simple aggregate measures of time spent at different acceleration values as there is evidence that the temporal distribution of activity is related to health and functional outcomes.

Indexed as

epidemiologypreventive medicinepublic health

Identifiers

PMID40017839
PMCPMC11812739

What OpenQuestion 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 OpenQuestion graph.