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

Abstract Background This 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. Methods The Active Australia Survey was validated against the ActiGraph as an objective measure of...

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Main Authors: 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
Format: Article
Language:English
Published: BMC 2019-04-01
Series:BMC Public Health
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12889-019-6717-1
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spelling doaj-a4c5c20e9c3c461da366018e9b7a00c82020-11-25T02:02:52ZengBMCBMC Public Health1471-24582019-04-0119111110.1186/s12889-019-6717-1Validity and responsiveness to change of the Active Australia Survey according to gender, age, BMI, education, and physical activity level and awarenessCorneel Vandelanotte0Mitch J. Duncan1Rob Stanton2Richard R. Rosenkranz3Cristina M. Caperchione4Amanda L. Rebar5Trevor N. Savage6W. Kerry Mummery7Gregory S. Kolt8Physical Activity Research Group, School of Human, Health and Social Sciences, Central Queensland UniversitySchool of Medicine & Public Health; Priority Research Centre for Physical Activity and Nutrition, Faculty of Health and Medicine, University of NewcastleSchool of Medical and Applied Sciences, Central Queensland UniversityDepartment of Food, Nutrition, Dietetics and Health, Kansas State UniversitySchool of Health and Exercise Sciences, University of Technology SydneyPhysical Activity Research Group, School of Human, Health and Social Sciences, Central Queensland UniversitySchool of Science and Health, Western Sydney UniversityFaculty of Physical Education and Recreation, University of AlbertaSchool of Science and Health, Western Sydney UniversityAbstract Background This 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. Methods The 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). Results With 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. Conclusions Little 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 registration World Health Organisation Universal Trial Number: U111–1119-1755. Australian New Zealand Clinical Trials Registry, ACTRN12611000157976. Registration date: 8 March 2011.http://link.springer.com/article/10.1186/s12889-019-6717-1MeasurementSelf-reportAccelerometerSocio-demographicsSurveillanceSubgroups
collection DOAJ
language English
format Article
sources DOAJ
author 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
spellingShingle 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
Validity and responsiveness to change of the Active Australia Survey according to gender, age, BMI, education, and physical activity level and awareness
BMC Public Health
Measurement
Self-report
Accelerometer
Socio-demographics
Surveillance
Subgroups
author_facet 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
author_sort Corneel Vandelanotte
title Validity and responsiveness to change of the Active Australia Survey according to gender, age, BMI, education, and physical activity level and awareness
title_short Validity and responsiveness to change of the Active Australia Survey according to gender, age, BMI, education, and physical activity level and awareness
title_full Validity and responsiveness to change of the Active Australia Survey according to gender, age, BMI, education, and physical activity level and awareness
title_fullStr Validity and responsiveness to change of the Active Australia Survey according to gender, age, BMI, education, and physical activity level and awareness
title_full_unstemmed Validity and responsiveness to change of the Active Australia Survey according to gender, age, BMI, education, and physical activity level and awareness
title_sort validity and responsiveness to change of the active australia survey according to gender, age, bmi, education, and physical activity level and awareness
publisher BMC
series BMC Public Health
issn 1471-2458
publishDate 2019-04-01
description Abstract Background This 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. Methods The 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). Results With 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. Conclusions Little 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 registration World Health Organisation Universal Trial Number: U111–1119-1755. Australian New Zealand Clinical Trials Registry, ACTRN12611000157976. Registration date: 8 March 2011.
topic Measurement
Self-report
Accelerometer
Socio-demographics
Surveillance
Subgroups
url http://link.springer.com/article/10.1186/s12889-019-6717-1
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