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Measurement Properties of Smartphone Approaches to Assess Physical Activity in Healthy Young People: Systematic Review

BACKGROUND: Physical inactivity is a preventable risk factor for several chronic diseases and one of the driving forces behind the growing global burden of disease. Recent evidence has shown that interventions using mobile smartphone apps can promote a significant increase in physical activity (PA)...

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Autores principales: Parmenter, Belinda, Burley, Claire, Stewart, Courtney, Whife, Jesse, Champion, Katrina, Osman, Bridie, Newton, Nicola, Green, Olivia, Wescott, Annie B, Gardner, Lauren A, Visontay, Rachel, Birrell, Louise, Bryant, Zachary, Chapman, Cath, Lubans, David R, Sunderland, Matthew, Slade, Tim, Thornton, Louise
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9636527/
https://www.ncbi.nlm.nih.gov/pubmed/36269659
http://dx.doi.org/10.2196/39085
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author Parmenter, Belinda
Burley, Claire
Stewart, Courtney
Whife, Jesse
Champion, Katrina
Osman, Bridie
Newton, Nicola
Green, Olivia
Wescott, Annie B
Gardner, Lauren A
Visontay, Rachel
Birrell, Louise
Bryant, Zachary
Chapman, Cath
Lubans, David R
Sunderland, Matthew
Slade, Tim
Thornton, Louise
author_facet Parmenter, Belinda
Burley, Claire
Stewart, Courtney
Whife, Jesse
Champion, Katrina
Osman, Bridie
Newton, Nicola
Green, Olivia
Wescott, Annie B
Gardner, Lauren A
Visontay, Rachel
Birrell, Louise
Bryant, Zachary
Chapman, Cath
Lubans, David R
Sunderland, Matthew
Slade, Tim
Thornton, Louise
author_sort Parmenter, Belinda
collection PubMed
description BACKGROUND: Physical inactivity is a preventable risk factor for several chronic diseases and one of the driving forces behind the growing global burden of disease. Recent evidence has shown that interventions using mobile smartphone apps can promote a significant increase in physical activity (PA) levels. However, the accuracy and reliability of using apps is unknown. OBJECTIVE: The aim of our review was to determine the accuracy and reliability of using mobile apps to measure PA levels in young people. We conducted a systematic review guided by PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). METHODS: Studies published from 2007 to 2020 were sourced from 8 databases—Ovid MEDLINE, Embase (Elsevier), Cochrane Library (Wiley), PsychINFO (EBSCOhost), CINAHL (EBSCOhost), Web of Science (Clarivate), SPORTDiscus (EBSCOhost), and IEEE Xplore Digital Library database. Studies were conducted in young people aged 10-24 years and without chronic illnesses, who evaluated a mobile app’s ability to measure PA. Primary outcomes included validity, reliability, and responsiveness of the measurement approach. Duplicate screening was conducted for eligibility, data extraction, and assessing the risk of bias. Results were reported as a systematic review. The main physical activity measures evaluated for each study were the following: total PA time (min/day or min/week), total moderate to vigorous PA per week, daily step count, intensity measure (heart rate), and frequency measure (days per week). RESULTS: Of the 149 identified studies, 5 met the inclusion criteria (322 participants, 176 female; mean age 14, SD 3 years). A total of 3 studies measured criterion validity and compared PA measured via apps against PA measured via an Actigraph accelerometer. The 2 studies that reported on construct validity identified a significant difference between self-reported PA and the objective measure. Only 1 of the 5 apps examined was available to the public, and although this app was highly accepted by young people, the app recorded PA to be significantly different to participants’ self-reported PA. CONCLUSIONS: Overall, few studies assess the reliability, validity, and responsiveness of mobile apps to measure PA in healthy young people, with studies typically only reporting on one measurement property. Of the 3 studies that measured validity, all concluded that mobile phones were acceptable and valid tools. More research is needed into the validity and reliability of smartphone apps to measure PA levels in this population as well as in populations with other characteristics, including other age groups and those with chronic diseases. TRIAL REGISTRATION: PROSPERO CRD42019122242; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=122242
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spelling pubmed-96365272022-11-06 Measurement Properties of Smartphone Approaches to Assess Physical Activity in Healthy Young People: Systematic Review Parmenter, Belinda Burley, Claire Stewart, Courtney Whife, Jesse Champion, Katrina Osman, Bridie Newton, Nicola Green, Olivia Wescott, Annie B Gardner, Lauren A Visontay, Rachel Birrell, Louise Bryant, Zachary Chapman, Cath Lubans, David R Sunderland, Matthew Slade, Tim Thornton, Louise JMIR Mhealth Uhealth Review BACKGROUND: Physical inactivity is a preventable risk factor for several chronic diseases and one of the driving forces behind the growing global burden of disease. Recent evidence has shown that interventions using mobile smartphone apps can promote a significant increase in physical activity (PA) levels. However, the accuracy and reliability of using apps is unknown. OBJECTIVE: The aim of our review was to determine the accuracy and reliability of using mobile apps to measure PA levels in young people. We conducted a systematic review guided by PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). METHODS: Studies published from 2007 to 2020 were sourced from 8 databases—Ovid MEDLINE, Embase (Elsevier), Cochrane Library (Wiley), PsychINFO (EBSCOhost), CINAHL (EBSCOhost), Web of Science (Clarivate), SPORTDiscus (EBSCOhost), and IEEE Xplore Digital Library database. Studies were conducted in young people aged 10-24 years and without chronic illnesses, who evaluated a mobile app’s ability to measure PA. Primary outcomes included validity, reliability, and responsiveness of the measurement approach. Duplicate screening was conducted for eligibility, data extraction, and assessing the risk of bias. Results were reported as a systematic review. The main physical activity measures evaluated for each study were the following: total PA time (min/day or min/week), total moderate to vigorous PA per week, daily step count, intensity measure (heart rate), and frequency measure (days per week). RESULTS: Of the 149 identified studies, 5 met the inclusion criteria (322 participants, 176 female; mean age 14, SD 3 years). A total of 3 studies measured criterion validity and compared PA measured via apps against PA measured via an Actigraph accelerometer. The 2 studies that reported on construct validity identified a significant difference between self-reported PA and the objective measure. Only 1 of the 5 apps examined was available to the public, and although this app was highly accepted by young people, the app recorded PA to be significantly different to participants’ self-reported PA. CONCLUSIONS: Overall, few studies assess the reliability, validity, and responsiveness of mobile apps to measure PA in healthy young people, with studies typically only reporting on one measurement property. Of the 3 studies that measured validity, all concluded that mobile phones were acceptable and valid tools. More research is needed into the validity and reliability of smartphone apps to measure PA levels in this population as well as in populations with other characteristics, including other age groups and those with chronic diseases. TRIAL REGISTRATION: PROSPERO CRD42019122242; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=122242 JMIR Publications 2022-10-21 /pmc/articles/PMC9636527/ /pubmed/36269659 http://dx.doi.org/10.2196/39085 Text en ©Belinda Parmenter, Claire Burley, Courtney Stewart, Jesse Whife, Katrina Champion, Bridie Osman, Nicola Newton, Olivia Green, Annie B Wescott, Lauren A Gardner, Rachel Visontay, Louise Birrell, Zachary Bryant, Cath Chapman, David R Lubans, Matthew Sunderland, Tim Slade, Louise Thornton. Originally published in JMIR mHealth and uHealth (https://mhealth.jmir.org), 21.10.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on https://mhealth.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Review
Parmenter, Belinda
Burley, Claire
Stewart, Courtney
Whife, Jesse
Champion, Katrina
Osman, Bridie
Newton, Nicola
Green, Olivia
Wescott, Annie B
Gardner, Lauren A
Visontay, Rachel
Birrell, Louise
Bryant, Zachary
Chapman, Cath
Lubans, David R
Sunderland, Matthew
Slade, Tim
Thornton, Louise
Measurement Properties of Smartphone Approaches to Assess Physical Activity in Healthy Young People: Systematic Review
title Measurement Properties of Smartphone Approaches to Assess Physical Activity in Healthy Young People: Systematic Review
title_full Measurement Properties of Smartphone Approaches to Assess Physical Activity in Healthy Young People: Systematic Review
title_fullStr Measurement Properties of Smartphone Approaches to Assess Physical Activity in Healthy Young People: Systematic Review
title_full_unstemmed Measurement Properties of Smartphone Approaches to Assess Physical Activity in Healthy Young People: Systematic Review
title_short Measurement Properties of Smartphone Approaches to Assess Physical Activity in Healthy Young People: Systematic Review
title_sort measurement properties of smartphone approaches to assess physical activity in healthy young people: systematic review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9636527/
https://www.ncbi.nlm.nih.gov/pubmed/36269659
http://dx.doi.org/10.2196/39085
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