Evidence map›Paper›PMID 36454865›Full record

Trial reportPloS one2022

Validity of muscular fitness self-assessments in the ecofit smartphone application: A correlation study.

Anna K Jansson, David R Lubans, Mitch J Duncan, Jordan J Smith, Adrian Bauman, John Attia, Ronald C Plotnikoff

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2022. 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. Trial
  2. Article
  3. Review
  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.

Anna K JanssonCentre for Active Living and Learning, School of Education, University of Newcastle, Callaghan, New South Wales, Australia.
David R LubansCentre for Active Living and Learning, School of Education, University of Newcastle, Callaghan, New South Wales, Australia.
Mitch J DuncanActive Living Research Program, Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia.
Jordan J SmithCentre for Active Living and Learning, School of Education, University of Newcastle, Callaghan, New South Wales, Australia.
Adrian BaumanSchool of Public Health, University of Sydney, Camperdown, New South Wales, Australia.
John AttiaSchool of Medicine and Public Health, University of Newcastle, Callaghan, Australia.ORCID 0000-0001-9800-1308
Ronald C PlotnikoffCentre for Active Living and Learning, School of Education, University of Newcastle, Callaghan, New South Wales, Australia.ORCID 0000-0002-3763-8273

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMobile app-based interventions have the potential for wide-reach and therefore may be a useful tool in up-scaling physical activity interventions. In larger-scale interventions, face-to-face assessments are less cost-effective, and researchers often rely on surveys or activity trackers to assess outcomes. However, there is limited evidence of valid muscular fitness assessments that can be self-administered within mHealth interventions. As such, this study will evaluate the concurrent validity of upper and lower body muscular fitness that have been independently assessed by participants via the ecofit app, and face-to-face assessments conducted by a trained researcher.

methodsThis study compared baseline data from two muscular fitness tests from the ecofit two-armed randomised controlled trial and self-assessed data collected via the ecofit smartphone app (i.e., validated 90-degree push-up and 60-second sit-to-stand test). To assess the concurrent validity, the self-assessed push-up and sit-to-stand tests (i.e., collected via the ecofit app) were correlated using Spearman's correlation coefficient against the researcher-assessed results (i.e., objective results collected during baseline assessment for the ecofit trial). Bland-Altman plots were also used to allow visualisation of the differences between the self- and research-assessed tests.

resultsParticipants (N = 54) completed the push-up (24.1%) and sit-to-stand (100%) tests within 14-days of receiving the app. The results revealed a strong significant correlation for the push-up test (0.83, p<0.001) and a moderate significant correlation for the sit-to-stand test (0.63, p<0.001).

conclusionThis study provides support for the concurrent validity of self-reported upper and lower body muscular fitness assessments (i.e., the push-up and sit-to-stand tests) in mHealth. While these tests may be a feasible option for large scale physical activity interventions, more research is needed to determine the generalisability of these results.

Indexed as

Mobile ApplicationsSmartphoneCorrelation of DataExerciseHumansSelf-Assessment

Identifiers

PMID36454865
PMCPMC9714846

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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.