Evidence map›Paper›PMID 30991980›Full record

ArticleBMC public health2019

Validity and responsiveness to change of the Active Australia Survey according to gender, age, BMI, education, and physical activity level and awareness.

Corneel Vandelanotte, Mitch J Duncan, Rob Stanton, Richard R Rosenkranz, Cristina M Caperchione, Amanda L Rebar, Trevor N Savage, W Kerry Mummery, Gregory S Kolt

Abstract readValidation Study
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

9 authors.

Corneel VandelanottePhysical Activity Research Group, School of Human, Health and Social Sciences, Central Queensland University, Rockhampton, QLD, Australia. c.vandelanotte@cqu.edu.au.ORCID http://orcid.org/0000-0002-4445-8094
Mitch J DuncanSchool of Medicine & Public Health; Priority Research Centre for Physical Activity and Nutrition, Faculty of Health and Medicine, University of Newcastle, Newcastle, NSW, Australia.
Rob StantonSchool of Medical and Applied Sciences, Central Queensland University, Rockhampton, QLD, Australia.
Richard R RosenkranzDepartment of Food, Nutrition, Dietetics and Health, Kansas State University, Manhattan, KS, USA.
Cristina M CaperchioneSchool of Health and Exercise Sciences, University of Technology Sydney, Sydney, NSW, Australia.
Amanda L RebarPhysical Activity Research Group, School of Human, Health and Social Sciences, Central Queensland University, Rockhampton, QLD, Australia.
Trevor N SavageSchool of Science and Health, Western Sydney University, Sydney, NSW, Australia.
W Kerry MummeryFaculty of Physical Education and Recreation, University of Alberta, Edmonton, Alberta, Canada.
Gregory S KoltSchool of Science and Health, Western Sydney University, Sydney, NSW, Australia.

Funding

National Health and Medical Research Council 1105926National Health and Medical Research Council 1141606National Heart Foundation of Australia 100029National Heart Foundation of Australia 100427
6 · The paper itself

Abstract

backgroundThis study aimed to investigate the validity of the Active Australia Survey across different subgroups and its responsiveness to change, as few previous studies have examined this.

methodsThe Active Australia Survey was validated against the ActiGraph as an objective measure of physical activity. Participants (n = 465) wore the ActiGraph for 7 days and subsequently completed the Active Australia Survey. Moderate activity, vigorous activity and total moderate and vigorous physical activity were compared using Spearman rank-order correlations. Changes in physical activity between baseline and 3-month assessments were correlated to examine responsiveness to change. The data were stratified to assess outcomes according to different subgroups (e.g., gender, age, weight, activity levels).

resultsWith regards to the validity, a significant correlation of ρ = 0.19 was found for moderate physical activity, ρ = 0.33 for vigorous physical activity and ρ = 0.23 for moderate and vigorous physical activity combined. For vigorous physical activity correlations were higher than 0.3 for most subgroups, whereas they were only higher than 0.3 in those with a healthy weight for the other activity outcomes. With regards to responsiveness to change, a correlation of ρ = 0.32 was found for moderate physical activity, ρ = 0.19 for vigorous physical activity and ρ = 0.35 for moderate and vigorous physical activity combined. For moderate and vigorous activity combined correlations were higher than 0.4 for several subgroups, but never for vigorous physical activity.

conclusionsLittle evidence for the validity of Active Australia Survey was found, although the responsiveness to change was acceptable for several subgroups. Findings from studies using the Active Australia Survey should be interpreted with caution.

trial registrationWorld Health Organisation Universal Trial Number: U111-1119-1755. Australian New Zealand Clinical Trials Registry, ACTRN12611000157976 . Registration date: 8 March 2011.

Indexed as

Body Mass IndexExerciseMotor ActivityAccelerometryAdultAustraliaEthnicityFemaleHumansMaleMiddle AgedReproducibility of ResultsSelf ReportSurveys and QuestionnairesWorld Health OrganizationYoung AdultAccelerometerMeasurementSelf-reportSocio-demographicsSubgroupsSurveillance

Identifiers

PMID30991980
PMCPMC6466730

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Registered trials

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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.