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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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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