The accuracy of self-reported physical activity questionnaires varies with sex and body mass index
Factors contributing to the accurate measurement of self-reported physical activity are not well understood in middle-aged adults. We investigated the associations between two self-reported surveys and objectively measured physical activity in middle-aged adults, and the influence of individual and...
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| description | Factors contributing to the accurate measurement of self-reported physical activity are not well understood in middle-aged adults. We investigated the associations between two self-reported surveys and objectively measured physical activity in middle-aged adults, and the influence of individual and sociodemographic factors on these associations, at different intensities utilizing an observational study design.
Participants (n = 156) wore a SenseWear Armband™ (SWA) for a continuous seven-day period over the triceps of the left arm, to measure energy expenditure in metabolic equivalents. Participants also completed the Physical Activity Recall questionnaire (PAR) and Active Australia Survey (AAS). Associations were analyzed separately in general linear models for each intensity. The influence of individual and sociodemographic factors was assessed through moderator analyses.
The PAR and SWA were significantly positively associated at moderate (β = 0.68, 95% CI 0.16-1.20), vigorous (β = 0.36, 95% CI 0.20-0.53), moderate-to-vigorous physical activity (MVPA) (β = 0.52, 95% CI 0.20-0.83), and total METmins (β = 0.63, 95% CI 0.35-0.90), the AAS and SWA were associated at all intensities (moderate (β = 0.41, 95% CI 0.15-0.67), vigorous (β = 0.32, 95% CI 0.19-0.46), MVPA (β = 0.42, 95% CI 0.18-0.65) and total METmins (β = 0.62, 95% CI 0.29-0.96). A significant interaction between the PAR and sex for vigorous-intensity unveiled a weaker association in women. Both surveys tended to under-report physical activity. The largest margins of error were present at light and moderate intensities. For the PAR, participants reported over 20 hours, or 69% less light physical activity than recorded by the SWA per week. For the AAS, participants reported over 7 hours, or 38% less moderate physical activity. Compared to lighter intensities, time spent at a vigorous intensity was overreported by participants with the PAR and AAS by 91 and 43 minutes per week, respectively. The addition of Body Mass Index (BMI) resulted in non-significant interactions between the PAR and SWA for moderate-intensity, and the AAS and SWA for vigorous-intensity; a significant interaction between AAS and BMI indicated that the strength of the association differed by BMI for vigorous-intensity.
The PAR and AAS are not equivalent to the SWA, and sex and BMI may alter the associations between the measures. |
| doi_str_mv | 10.1371/journal.pone.0256008 |
| format | Article |
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Participants (n = 156) wore a SenseWear Armband™ (SWA) for a continuous seven-day period over the triceps of the left arm, to measure energy expenditure in metabolic equivalents. Participants also completed the Physical Activity Recall questionnaire (PAR) and Active Australia Survey (AAS). Associations were analyzed separately in general linear models for each intensity. The influence of individual and sociodemographic factors was assessed through moderator analyses.
The PAR and SWA were significantly positively associated at moderate (β = 0.68, 95% CI 0.16-1.20), vigorous (β = 0.36, 95% CI 0.20-0.53), moderate-to-vigorous physical activity (MVPA) (β = 0.52, 95% CI 0.20-0.83), and total METmins (β = 0.63, 95% CI 0.35-0.90), the AAS and SWA were associated at all intensities (moderate (β = 0.41, 95% CI 0.15-0.67), vigorous (β = 0.32, 95% CI 0.19-0.46), MVPA (β = 0.42, 95% CI 0.18-0.65) and total METmins (β = 0.62, 95% CI 0.29-0.96). A significant interaction between the PAR and sex for vigorous-intensity unveiled a weaker association in women. Both surveys tended to under-report physical activity. The largest margins of error were present at light and moderate intensities. For the PAR, participants reported over 20 hours, or 69% less light physical activity than recorded by the SWA per week. For the AAS, participants reported over 7 hours, or 38% less moderate physical activity. Compared to lighter intensities, time spent at a vigorous intensity was overreported by participants with the PAR and AAS by 91 and 43 minutes per week, respectively. The addition of Body Mass Index (BMI) resulted in non-significant interactions between the PAR and SWA for moderate-intensity, and the AAS and SWA for vigorous-intensity; a significant interaction between AAS and BMI indicated that the strength of the association differed by BMI for vigorous-intensity.
The PAR and AAS are not equivalent to the SWA, and sex and BMI may alter the associations between the measures.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0256008</identifier><identifier>PMID: 34379676</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Adults ; Aging ; Biology and Life Sciences ; Body mass ; Body Mass Index ; Body size ; Chronic illnesses ; Data collection ; Demographic aspects ; Energy expenditure ; Energy Metabolism ; Engineering and Technology ; Equivalence ; Evaluation ; Exercise ; Female ; Funding ; Humans ; Investigations ; Luminous intensity ; Male ; Measurement ; Medicine and Health Sciences ; Mental Recall - physiology ; Metabolic Equivalent ; Middle age ; Monitoring, Physiologic - statistics & numerical data ; Motor Activity - physiology ; Observational studies ; Physical activity ; Physical fitness ; Polls & surveys ; Questionnaires ; Research and Analysis Methods ; Self Report ; Sex ; Sociodemographics ; Supervision ; Surveys and Questionnaires ; Young Adult</subject><ispartof>PloS one, 2021-08, Vol.16 (8), p.e0256008</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 Quinlan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 Quinlan et al 2021 Quinlan et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-d193609ffcd698d11fcaad20be8b5d2c95bc1ff90f6366ca3e657ac25601320d3</citedby><cites>FETCH-LOGICAL-c692t-d193609ffcd698d11fcaad20be8b5d2c95bc1ff90f6366ca3e657ac25601320d3</cites><orcidid>0000-0002-1832-2724</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8357091/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8357091/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,861,882,2096,2915,23847,27905,27906,53772,53774,79349,79350</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34379676$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Harezlak, Jaroslaw</contributor><creatorcontrib>Quinlan, Clare</creatorcontrib><creatorcontrib>Rattray, Ben</creatorcontrib><creatorcontrib>Pryor, Disa</creatorcontrib><creatorcontrib>Northey, Joseph M</creatorcontrib><creatorcontrib>Anstey, Kaarin J</creatorcontrib><creatorcontrib>Butterworth, Peter</creatorcontrib><creatorcontrib>Cherbuin, Nicolas</creatorcontrib><title>The accuracy of self-reported physical activity questionnaires varies with sex and body mass index</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Factors contributing to the accurate measurement of self-reported physical activity are not well understood in middle-aged adults. We investigated the associations between two self-reported surveys and objectively measured physical activity in middle-aged adults, and the influence of individual and sociodemographic factors on these associations, at different intensities utilizing an observational study design.
Participants (n = 156) wore a SenseWear Armband™ (SWA) for a continuous seven-day period over the triceps of the left arm, to measure energy expenditure in metabolic equivalents. Participants also completed the Physical Activity Recall questionnaire (PAR) and Active Australia Survey (AAS). Associations were analyzed separately in general linear models for each intensity. The influence of individual and sociodemographic factors was assessed through moderator analyses.
The PAR and SWA were significantly positively associated at moderate (β = 0.68, 95% CI 0.16-1.20), vigorous (β = 0.36, 95% CI 0.20-0.53), moderate-to-vigorous physical activity (MVPA) (β = 0.52, 95% CI 0.20-0.83), and total METmins (β = 0.63, 95% CI 0.35-0.90), the AAS and SWA were associated at all intensities (moderate (β = 0.41, 95% CI 0.15-0.67), vigorous (β = 0.32, 95% CI 0.19-0.46), MVPA (β = 0.42, 95% CI 0.18-0.65) and total METmins (β = 0.62, 95% CI 0.29-0.96). A significant interaction between the PAR and sex for vigorous-intensity unveiled a weaker association in women. Both surveys tended to under-report physical activity. The largest margins of error were present at light and moderate intensities. For the PAR, participants reported over 20 hours, or 69% less light physical activity than recorded by the SWA per week. For the AAS, participants reported over 7 hours, or 38% less moderate physical activity. Compared to lighter intensities, time spent at a vigorous intensity was overreported by participants with the PAR and AAS by 91 and 43 minutes per week, respectively. The addition of Body Mass Index (BMI) resulted in non-significant interactions between the PAR and SWA for moderate-intensity, and the AAS and SWA for vigorous-intensity; a significant interaction between AAS and BMI indicated that the strength of the association differed by BMI for vigorous-intensity.
The PAR and AAS are not equivalent to the SWA, and sex and BMI may alter the associations between the measures.</description><subject>Adult</subject><subject>Adults</subject><subject>Aging</subject><subject>Biology and Life Sciences</subject><subject>Body mass</subject><subject>Body Mass Index</subject><subject>Body size</subject><subject>Chronic illnesses</subject><subject>Data collection</subject><subject>Demographic aspects</subject><subject>Energy expenditure</subject><subject>Energy Metabolism</subject><subject>Engineering and Technology</subject><subject>Equivalence</subject><subject>Evaluation</subject><subject>Exercise</subject><subject>Female</subject><subject>Funding</subject><subject>Humans</subject><subject>Investigations</subject><subject>Luminous intensity</subject><subject>Male</subject><subject>Measurement</subject><subject>Medicine and Health Sciences</subject><subject>Mental Recall - physiology</subject><subject>Metabolic Equivalent</subject><subject>Middle age</subject><subject>Monitoring, Physiologic - 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physiology</topic><topic>Metabolic Equivalent</topic><topic>Middle age</topic><topic>Monitoring, Physiologic - statistics & numerical data</topic><topic>Motor Activity - physiology</topic><topic>Observational studies</topic><topic>Physical activity</topic><topic>Physical fitness</topic><topic>Polls & surveys</topic><topic>Questionnaires</topic><topic>Research and Analysis Methods</topic><topic>Self Report</topic><topic>Sex</topic><topic>Sociodemographics</topic><topic>Supervision</topic><topic>Surveys and Questionnaires</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Quinlan, Clare</creatorcontrib><creatorcontrib>Rattray, Ben</creatorcontrib><creatorcontrib>Pryor, Disa</creatorcontrib><creatorcontrib>Northey, Joseph M</creatorcontrib><creatorcontrib>Anstey, Kaarin J</creatorcontrib><creatorcontrib>Butterworth, Peter</creatorcontrib><creatorcontrib>Cherbuin, Nicolas</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Quinlan, Clare</au><au>Rattray, Ben</au><au>Pryor, Disa</au><au>Northey, Joseph M</au><au>Anstey, Kaarin J</au><au>Butterworth, Peter</au><au>Cherbuin, Nicolas</au><au>Harezlak, Jaroslaw</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The accuracy of self-reported physical activity questionnaires varies with sex and body mass index</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2021-08-11</date><risdate>2021</risdate><volume>16</volume><issue>8</issue><spage>e0256008</spage><pages>e0256008-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Factors contributing to the accurate measurement of self-reported physical activity are not well understood in middle-aged adults. We investigated the associations between two self-reported surveys and objectively measured physical activity in middle-aged adults, and the influence of individual and sociodemographic factors on these associations, at different intensities utilizing an observational study design.
Participants (n = 156) wore a SenseWear Armband™ (SWA) for a continuous seven-day period over the triceps of the left arm, to measure energy expenditure in metabolic equivalents. Participants also completed the Physical Activity Recall questionnaire (PAR) and Active Australia Survey (AAS). Associations were analyzed separately in general linear models for each intensity. The influence of individual and sociodemographic factors was assessed through moderator analyses.
The PAR and SWA were significantly positively associated at moderate (β = 0.68, 95% CI 0.16-1.20), vigorous (β = 0.36, 95% CI 0.20-0.53), moderate-to-vigorous physical activity (MVPA) (β = 0.52, 95% CI 0.20-0.83), and total METmins (β = 0.63, 95% CI 0.35-0.90), the AAS and SWA were associated at all intensities (moderate (β = 0.41, 95% CI 0.15-0.67), vigorous (β = 0.32, 95% CI 0.19-0.46), MVPA (β = 0.42, 95% CI 0.18-0.65) and total METmins (β = 0.62, 95% CI 0.29-0.96). A significant interaction between the PAR and sex for vigorous-intensity unveiled a weaker association in women. Both surveys tended to under-report physical activity. The largest margins of error were present at light and moderate intensities. For the PAR, participants reported over 20 hours, or 69% less light physical activity than recorded by the SWA per week. For the AAS, participants reported over 7 hours, or 38% less moderate physical activity. Compared to lighter intensities, time spent at a vigorous intensity was overreported by participants with the PAR and AAS by 91 and 43 minutes per week, respectively. The addition of Body Mass Index (BMI) resulted in non-significant interactions between the PAR and SWA for moderate-intensity, and the AAS and SWA for vigorous-intensity; a significant interaction between AAS and BMI indicated that the strength of the association differed by BMI for vigorous-intensity.
The PAR and AAS are not equivalent to the SWA, and sex and BMI may alter the associations between the measures.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>34379676</pmid><doi>10.1371/journal.pone.0256008</doi><orcidid>https://orcid.org/0000-0002-1832-2724</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2021-08, Vol.16 (8), p.e0256008 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_2560288502 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS); PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Adult Adults Aging Biology and Life Sciences Body mass Body Mass Index Body size Chronic illnesses Data collection Demographic aspects Energy expenditure Energy Metabolism Engineering and Technology Equivalence Evaluation Exercise Female Funding Humans Investigations Luminous intensity Male Measurement Medicine and Health Sciences Mental Recall - physiology Metabolic Equivalent Middle age Monitoring, Physiologic - statistics & numerical data Motor Activity - physiology Observational studies Physical activity Physical fitness Polls & surveys Questionnaires Research and Analysis Methods Self Report Sex Sociodemographics Supervision Surveys and Questionnaires Young Adult |
| title | The accuracy of self-reported physical activity questionnaires varies with sex and body mass index |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-20T11%3A34%3A03IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20accuracy%20of%20self-reported%20physical%20activity%20questionnaires%20varies%20with%20sex%20and%20body%20mass%20index&rft.jtitle=PloS%20one&rft.au=Quinlan,%20Clare&rft.date=2021-08-11&rft.volume=16&rft.issue=8&rft.spage=e0256008&rft.pages=e0256008-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0256008&rft_dat=%3Cgale_plos_%3EA671585624%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2560288502&rft_id=info:pmid/34379676&rft_galeid=A671585624&rft_doaj_id=oai_doaj_org_article_64c8cb48f46f472c8a22aea25b757e5e&rfr_iscdi=true |