Evidence map›Paper›PMID 29933548›Full record

ArticleInternational journal of environmental research and public health2018

Wear-Time Compliance with a Dual-Accelerometer System for Capturing 24-h Behavioural Profiles in Children and Adults.

Scott Duncan, Tom Stewart, Lisa Mackay, Jono Neville, Anantha Narayanan, Caroline Walker, Sarah Berry, Susan Morton

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.

  1. Pooled it
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  11. Reference values for wrist-worn accelerometer physical activity metrics in England children and adolescents.The international journal of behavioral nutrition and physical activity · 2023
    Article
  12. Article
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  15. Observational
  16. Sociodemographic differences in 24-hour time-use behaviours in New Zealand children.The international journal of behavioral nutrition and physical activity · 2022
    Article
  17. Article
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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

8 authors at 2 institutions in 1 country.

Scott DuncanSchool of Sport and Recreation, Auckland University of Technology, Auckland 1142, New Zealand. scott.duncan@aut.ac.nz.ORCID 0000-0002-8402-2930
Tom StewartSchool of Sport and Recreation, Auckland University of Technology, Auckland 1142, New Zealand. tom.stewart@aut.ac.nz.ORCID 0000-0001-5915-3843
Lisa MackaySchool of Sport and Recreation, Auckland University of Technology, Auckland 1142, New Zealand. lisa.mackay@aut.ac.nz.
Jono NevilleSchool of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland 1142, New Zealand. jono.neville@aut.ac.nz.
Anantha NarayananSchool of Sport and Recreation, Auckland University of Technology, Auckland 1142, New Zealand. em10257@aut.ac.nz.
Caroline WalkerCentre for Longitudinal Research, University of Auckland, Auckland 1142, New Zealand. caroline.walker@auckland.ac.nz.
Sarah BerryCentre for Longitudinal Research, University of Auckland, Auckland 1142, New Zealand. sarah.berry@auckland.ac.nz.
Susan MortonCentre for Longitudinal Research, University of Auckland, Auckland 1142, New Zealand. s.morton@auckland.ac.nz.
Auckland University of Technology · NZUniversity of Auckland · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To advance the field of time-use epidemiology, a tool capable of monitoring 24 h movement behaviours including sleep, physical activity, and sedentary behaviour is needed. This study explores compliance with a novel dual-accelerometer system for capturing 24 h movement patterns in two free-living samples of children and adults. A total of 103 children aged 8 years and 83 adults aged 20-60 years were recruited. Using a combination of medical dressing and purpose-built foam pouches, participants were fitted with two Axivity AX3 accelerometers—one to the thigh and the other to the lower back—for seven 24 h periods. AX3 accelerometers contain an inbuilt skin temperature sensor that facilitates wear time estimation. The median (IQR) wear time in children was 160 (67) h and 165 (79) h (out of a maximum of 168 h) for back and thigh placement, respectively. Wear time was significantly higher and less variable in adults, with a median (IQR) for back and thigh placement of 168 (1) and 168 (0) h. A greater proportion of adults (71.6%) achieved the maximum number of complete days when compared to children (41.7%). We conclude that a dual-accelerometer protocol using skin attachment methods holds considerable promise for monitoring 24-h movement behaviours in both children and adults.

Indexed as

Child BehaviorExerciseSedentary BehaviorAccelerometryAdultChildFemaleHumansMaleMiddle AgedMonitoring, PhysiologicYoung Adultaccelerometrymeasurementmotion sensorsphysical activitysedentary behaviourtime-use epidemiology

Identifiers

PMID29933548
PMCPMC6069278
OpenAlexW2808889642

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.