Evidence map›Paper›PMID 28101444›Full record

ArticlePreventive medicine reports2017

Accelerometer data treatment for adolescents: Fitting a piece of the puzzle.

Melody Smith, Steve Taylor, Leon Iusitini, Tom Stewart, Fa'asisila Savila, El-Shadan Tautolo, Lindsay Plank, Shabnam Jalili-Moghaddam, Janis Paterson, Elaine Rush

Abstract read
In one paragraph

Article in Preventive medicine reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
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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

10 authors.

Melody SmithSchool of Nursing, The University of Auckland, Auckland, New Zealand.
Steve TaylorDepartment of Biostatistics and Epidemiology, Auckland University of Technology, Auckland, New Zealand.
Leon IusitiniCentre for Pacific Health and Development Research, Auckland University of Technology, Auckland, New Zealand.
Tom StewartHuman Potential Centre, Auckland University of Technology, Auckland, New Zealand.
Fa'asisila SavilaCentre for Pacific Health and Development Research, Auckland University of Technology, Auckland, New Zealand.
El-Shadan TautoloCentre for Pacific Health and Development Research, Auckland University of Technology, Auckland, New Zealand.
Lindsay PlankSchool of Medicine, the University of Auckland, Auckland, New Zealand.
Shabnam Jalili-MoghaddamChild Health Research Centre, Auckland University of Technology, Auckland, New Zealand.
Janis PatersonCentre for Pacific Health and Development Research, Auckland University of Technology, Auckland, New Zealand.
Elaine RushCentre for Pacific Health and Development Research, Auckland University of Technology, Auckland, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to assess the differences in participant retention and associations between physical activity and key variables when a range of accelerometer data inclusion criteria are employed. Data were drawn from 204 adolescents of Pacific Island heritage (survey, body composition, 7-day accelerometry) and their parents (date of birth, socioeconomic status) between October 2014 and February 2016 in Auckland, New Zealand. Data wear time criteria for inclusion were as follows: A) > = 10 h/weekday or > = 8 h weekend day, > = 5 days (at least one weekend day); B) > = 10 h/weekday or > = 8 h weekend day, > = 4 days; C) > = 7 h/day, > = 3 days; D) > = 10 h/day, > = 1 day. Overall, 49%, 62%, 88%, and 96% of participants met the criteria, respectively. Adjusted odds of meeting each criterion were examined using a multivariable logistic regression model. Almost 50% of participants were excluded by the most stringent inclusion criteria. Increased body fat percentage and proportion of time in moderate-to-vigorous activity were associated with decreased odds of meeting Criterions A and B. This research contributes to a growing understanding of the impact of differing accelerometer reduction approaches to sample retention and bias in adolescent physical activity research.

Indexed as

AccelerometryAdolescentsMeasurePacific healthPhysical activity

Identifiers

PMID28101444
PMCPMC5241576

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.