Association between self-reported and accelerometer-based estimates of physical activity in Portuguese older adults
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/1822/73316 |
Resumo: | Accurate assessment of physical activity (PA) is crucial in interventions promoting it and in studies exploring its association with health status. Currently, there is a wide range of assessment tools available, including subjective and objective measures. This study compared accelerometer-based estimates of PA with self-report PA data in older adults. Additionally, the associations between PA and health outcomes and PA profiles were analyzed. Participants (<i>n</i> = 110) wore a Xiaomi Mi Band 2<sup>®</sup> for fifteen consecutive days. Self-reported PA was assessed using the International Physical Activity Questionnaire (IPAQ) and the Yale Physical Activity Survey (YPAS). The Spearman correlation coefficient was used to compare self-reported and accelerometer-measured PA and associations between PA and health. Bland–Altman plots were performed to assess the agreement between methods. Results highlight a large variation between self-reported and Xiaomi Mi Band 2<sup>®</sup> estimates, with poor general agreement. The highest difference was found for sedentary time. Low positive correlations were observed for IPAQ estimates (sedentary, vigorous, and total PA) and moderate for YPAS vigorous estimates. Finally, self-reported and objectively measured PA associated differently with health outcomes. Summarily, although accelerometry has the advantage of being an accurate method, self-report questionnaires could provide valuable information about the context of the activity. |
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Association between self-reported and accelerometer-based estimates of physical activity in Portuguese older adultsSeniorsElderlyPhysical activityAccelerometryFitness trackersSelf-report physical activityIPAQYPASScience & TechnologyAccurate assessment of physical activity (PA) is crucial in interventions promoting it and in studies exploring its association with health status. Currently, there is a wide range of assessment tools available, including subjective and objective measures. This study compared accelerometer-based estimates of PA with self-report PA data in older adults. Additionally, the associations between PA and health outcomes and PA profiles were analyzed. Participants (<i>n</i> = 110) wore a Xiaomi Mi Band 2<sup>®</sup> for fifteen consecutive days. Self-reported PA was assessed using the International Physical Activity Questionnaire (IPAQ) and the Yale Physical Activity Survey (YPAS). The Spearman correlation coefficient was used to compare self-reported and accelerometer-measured PA and associations between PA and health. Bland–Altman plots were performed to assess the agreement between methods. Results highlight a large variation between self-reported and Xiaomi Mi Band 2<sup>®</sup> estimates, with poor general agreement. The highest difference was found for sedentary time. Low positive correlations were observed for IPAQ estimates (sedentary, vigorous, and total PA) and moderate for YPAS vigorous estimates. Finally, self-reported and objectively measured PA associated differently with health outcomes. Summarily, although accelerometry has the advantage of being an accurate method, self-report questionnaires could provide valuable information about the context of the activity.This research was funded by FEDER funds, through the Competitiveness Factors Operational Programme (COMPETE), and by National funds, through the Foundation for Science and Technology (FCT), under the project POCI-01-0145-FEDER-007038. This article has been developed under the scope of the project NORTE-01-0145-FEDER000013, supported by the Northern Portugal Regional Operational Programme (NORTE 2020), under the Portugal 2020 Partnership Agreement, through the European Regional Development Fund (FEDER). This work was also supported by the project grants MEDPERSYST (POCI-01-0145-FEDER-016428) and GIRO (RESEARCH4COVID, 1st edition, project n. 078) by FCT, and the 2CA-Braga Grant for the 2017 Clinical Research Projects. CD was supported by a combined Ph. D. scholarship from FCT and the company iCognitus4ALL-IT Solutions, Lda, Braga, Portugal (grant number PD/BDE/127831/2016).Multidisciplinary Digital Publishing Institute (MDPI)Universidade do MinhoDomingos, CéliaSantos, Nadine CorreiaPêgo, José M.2021-03-242021-03-24T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/73316engDomingos, C.; Correia Santos, N.; Pêgo, J.M. Association between Self-Reported and Accelerometer-Based Estimates of Physical Activity in Portuguese Older Adults. Sensors 2021, 21, 2258. https://doi.org/10.3390/s210722581424-82201424-822010.3390/s2107225833804834https://www.mdpi.com/1424-8220/21/7/2258info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-05-11T05:54:35Zoai:repositorium.sdum.uminho.pt:1822/73316Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-11T05:54:35Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Association between self-reported and accelerometer-based estimates of physical activity in Portuguese older adults |
title |
Association between self-reported and accelerometer-based estimates of physical activity in Portuguese older adults |
spellingShingle |
Association between self-reported and accelerometer-based estimates of physical activity in Portuguese older adults Domingos, Célia Seniors Elderly Physical activity Accelerometry Fitness trackers Self-report physical activity IPAQ YPAS Science & Technology |
title_short |
Association between self-reported and accelerometer-based estimates of physical activity in Portuguese older adults |
title_full |
Association between self-reported and accelerometer-based estimates of physical activity in Portuguese older adults |
title_fullStr |
Association between self-reported and accelerometer-based estimates of physical activity in Portuguese older adults |
title_full_unstemmed |
Association between self-reported and accelerometer-based estimates of physical activity in Portuguese older adults |
title_sort |
Association between self-reported and accelerometer-based estimates of physical activity in Portuguese older adults |
author |
Domingos, Célia |
author_facet |
Domingos, Célia Santos, Nadine Correia Pêgo, José M. |
author_role |
author |
author2 |
Santos, Nadine Correia Pêgo, José M. |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Domingos, Célia Santos, Nadine Correia Pêgo, José M. |
dc.subject.por.fl_str_mv |
Seniors Elderly Physical activity Accelerometry Fitness trackers Self-report physical activity IPAQ YPAS Science & Technology |
topic |
Seniors Elderly Physical activity Accelerometry Fitness trackers Self-report physical activity IPAQ YPAS Science & Technology |
description |
Accurate assessment of physical activity (PA) is crucial in interventions promoting it and in studies exploring its association with health status. Currently, there is a wide range of assessment tools available, including subjective and objective measures. This study compared accelerometer-based estimates of PA with self-report PA data in older adults. Additionally, the associations between PA and health outcomes and PA profiles were analyzed. Participants (<i>n</i> = 110) wore a Xiaomi Mi Band 2<sup>®</sup> for fifteen consecutive days. Self-reported PA was assessed using the International Physical Activity Questionnaire (IPAQ) and the Yale Physical Activity Survey (YPAS). The Spearman correlation coefficient was used to compare self-reported and accelerometer-measured PA and associations between PA and health. Bland–Altman plots were performed to assess the agreement between methods. Results highlight a large variation between self-reported and Xiaomi Mi Band 2<sup>®</sup> estimates, with poor general agreement. The highest difference was found for sedentary time. Low positive correlations were observed for IPAQ estimates (sedentary, vigorous, and total PA) and moderate for YPAS vigorous estimates. Finally, self-reported and objectively measured PA associated differently with health outcomes. Summarily, although accelerometry has the advantage of being an accurate method, self-report questionnaires could provide valuable information about the context of the activity. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-03-24 2021-03-24T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/73316 |
url |
http://hdl.handle.net/1822/73316 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Domingos, C.; Correia Santos, N.; Pêgo, J.M. Association between Self-Reported and Accelerometer-Based Estimates of Physical Activity in Portuguese Older Adults. Sensors 2021, 21, 2258. https://doi.org/10.3390/s21072258 1424-8220 1424-8220 10.3390/s21072258 33804834 https://www.mdpi.com/1424-8220/21/7/2258 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute (MDPI) |
publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute (MDPI) |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
mluisa.alvim@gmail.com |
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1817544783413903360 |