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Validity and bias on the online active Australia survey: activity level and participant factors associated with self-report bias

BACKGROUND: This study examined the criterion validity of the online Active Australia Survey, using accelerometry as the criterion, and whether self-report bias was related to level of activity, age, sex, education, body mass index and health-related quality of life. METHODS: The online Active Austr...

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Autores principales: Curtis, Rachel G., Olds, Timothy, Plotnikoff, Ronald, Vandelanotte, Corneel, Edney, Sarah, Ryan, Jillian, Maher, Carol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6954551/
https://www.ncbi.nlm.nih.gov/pubmed/31924171
http://dx.doi.org/10.1186/s12874-020-0896-4
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author Curtis, Rachel G.
Olds, Timothy
Plotnikoff, Ronald
Vandelanotte, Corneel
Edney, Sarah
Ryan, Jillian
Maher, Carol
author_facet Curtis, Rachel G.
Olds, Timothy
Plotnikoff, Ronald
Vandelanotte, Corneel
Edney, Sarah
Ryan, Jillian
Maher, Carol
author_sort Curtis, Rachel G.
collection PubMed
description BACKGROUND: This study examined the criterion validity of the online Active Australia Survey, using accelerometry as the criterion, and whether self-report bias was related to level of activity, age, sex, education, body mass index and health-related quality of life. METHODS: The online Active Australia Survey was validated against the GENEActiv accelerometer as a direct measure of activity. Participants (n = 344) wore an accelerometer for 7 days, completed the Active Australia Survey, and reported their health and demographic characteristics. A Spearman’s rank coefficient examined the association between minutes of moderate-to-vigorous physical activity recorded on the Active Australia Survey and GENEActiv accelerometer. A Bland-Altman plot illustrated self-report bias (the difference between methods). Linear mixed effects modelling was used to examine whether participant factors predicted self-report bias. RESULTS: The association between moderate-to-vigorous physical activity reported on the online Active Australia Survey and accelerometer was significant (r(s) = .27, p < .001). Participants reported 4 fewer minutes per day on the Active Australia Survey than was recorded by accelerometry (95% limits of agreement −104 – 96 min) but the difference was not significant (t(343) = −1.40, p = .16). Self-report bias was negatively associated with minutes of accelerometer-recorded moderate-to-vigorous physical activity and positively associated with mental health-related quality of life. CONCLUSIONS: The online Active Australia Survey showed limited criterion validity against accelerometry. Self-report bias was related to activity level and mental health-related quality of life. Caution is recommended when interpreting studies using the online Active Australia Survey.
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spelling pubmed-69545512020-01-14 Validity and bias on the online active Australia survey: activity level and participant factors associated with self-report bias Curtis, Rachel G. Olds, Timothy Plotnikoff, Ronald Vandelanotte, Corneel Edney, Sarah Ryan, Jillian Maher, Carol BMC Med Res Methodol Research Article BACKGROUND: This study examined the criterion validity of the online Active Australia Survey, using accelerometry as the criterion, and whether self-report bias was related to level of activity, age, sex, education, body mass index and health-related quality of life. METHODS: The online Active Australia Survey was validated against the GENEActiv accelerometer as a direct measure of activity. Participants (n = 344) wore an accelerometer for 7 days, completed the Active Australia Survey, and reported their health and demographic characteristics. A Spearman’s rank coefficient examined the association between minutes of moderate-to-vigorous physical activity recorded on the Active Australia Survey and GENEActiv accelerometer. A Bland-Altman plot illustrated self-report bias (the difference between methods). Linear mixed effects modelling was used to examine whether participant factors predicted self-report bias. RESULTS: The association between moderate-to-vigorous physical activity reported on the online Active Australia Survey and accelerometer was significant (r(s) = .27, p < .001). Participants reported 4 fewer minutes per day on the Active Australia Survey than was recorded by accelerometry (95% limits of agreement −104 – 96 min) but the difference was not significant (t(343) = −1.40, p = .16). Self-report bias was negatively associated with minutes of accelerometer-recorded moderate-to-vigorous physical activity and positively associated with mental health-related quality of life. CONCLUSIONS: The online Active Australia Survey showed limited criterion validity against accelerometry. Self-report bias was related to activity level and mental health-related quality of life. Caution is recommended when interpreting studies using the online Active Australia Survey. BioMed Central 2020-01-10 /pmc/articles/PMC6954551/ /pubmed/31924171 http://dx.doi.org/10.1186/s12874-020-0896-4 Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Curtis, Rachel G.
Olds, Timothy
Plotnikoff, Ronald
Vandelanotte, Corneel
Edney, Sarah
Ryan, Jillian
Maher, Carol
Validity and bias on the online active Australia survey: activity level and participant factors associated with self-report bias
title Validity and bias on the online active Australia survey: activity level and participant factors associated with self-report bias
title_full Validity and bias on the online active Australia survey: activity level and participant factors associated with self-report bias
title_fullStr Validity and bias on the online active Australia survey: activity level and participant factors associated with self-report bias
title_full_unstemmed Validity and bias on the online active Australia survey: activity level and participant factors associated with self-report bias
title_short Validity and bias on the online active Australia survey: activity level and participant factors associated with self-report bias
title_sort validity and bias on the online active australia survey: activity level and participant factors associated with self-report bias
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6954551/
https://www.ncbi.nlm.nih.gov/pubmed/31924171
http://dx.doi.org/10.1186/s12874-020-0896-4
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