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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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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. |
format | Online Article Text |
id | pubmed-6954551 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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