Comparison of the EPIC Physical Activity Questionnaire with combined heart rate and movement sensing in a nationally representative sample of older British adults
To compare physical activity (PA) subcomponents from EPIC Physical Activity Questionnaire (EPAQ2) and combined heart rate and movement sensing in older adults. Participants aged 60-64y from the MRC National Survey of Health and Development in Great Britain completed EPAQ2, which assesses self-report...
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| creator | España-Romero, Vanesa Golubic, Rajna Martin, Kathryn R Hardy, Rebecca Ekelund, Ulf Kuh, Diana Wareham, Nicholas J Cooper, Rachel Brage, Soren |
| description | To compare physical activity (PA) subcomponents from EPIC Physical Activity Questionnaire (EPAQ2) and combined heart rate and movement sensing in older adults.
Participants aged 60-64y from the MRC National Survey of Health and Development in Great Britain completed EPAQ2, which assesses self-report PA in 4 domains (leisure time, occupation, transportation and domestic life) during the past year and wore a combined sensor for 5 consecutive days. Estimates of PA energy expenditure (PAEE), sedentary behaviour, light (LPA) and moderate-to-vigorous PA (MVPA) were obtained from EPAQ2 and combined sensing and compared. Complete data were available in 1689 participants (52% women).
EPAQ2 estimates of PAEE and MVPA were higher than objective estimates and sedentary time and LPA estimates were lower [bias (95% limits of agreement) in men and women were 32.3 (-61.5 to 122.6) and 29.0 (-39.2 to 94.6) kJ/kg/day for PAEE; -4.6 (-10.6 to 1.3) and -6.0 (-10.9 to -1.0) h/day for sedentary time; -171.8 (-454.5 to 110.8) and -60.4 (-367.5 to 246.6) min/day for LPA; 91.1 (-159.5 to 341.8) and 55.4 (-117.2 to 228.0) min/day for MVPA]. There were significant positive correlations between all self-reported and objectively assessed PA subcomponents (rho= 0.12 to 0.36); the strongest were observed for MVPA (rho = 0.30 men; rho = 0.36 women) and PAEE (rho = 0.26 men; rho = 0.25 women).
EPAQ2 produces higher estimates of PAEE and MVPA and lower estimates of sedentary and LPA than objective assessment. However, both methodologies rank individuals similarly, suggesting that EPAQ2 may be used in etiological studies in this population. |
| doi_str_mv | 10.1371/journal.pone.0087085 |
| format | Article |
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Participants aged 60-64y from the MRC National Survey of Health and Development in Great Britain completed EPAQ2, which assesses self-report PA in 4 domains (leisure time, occupation, transportation and domestic life) during the past year and wore a combined sensor for 5 consecutive days. Estimates of PA energy expenditure (PAEE), sedentary behaviour, light (LPA) and moderate-to-vigorous PA (MVPA) were obtained from EPAQ2 and combined sensing and compared. Complete data were available in 1689 participants (52% women).
EPAQ2 estimates of PAEE and MVPA were higher than objective estimates and sedentary time and LPA estimates were lower [bias (95% limits of agreement) in men and women were 32.3 (-61.5 to 122.6) and 29.0 (-39.2 to 94.6) kJ/kg/day for PAEE; -4.6 (-10.6 to 1.3) and -6.0 (-10.9 to -1.0) h/day for sedentary time; -171.8 (-454.5 to 110.8) and -60.4 (-367.5 to 246.6) min/day for LPA; 91.1 (-159.5 to 341.8) and 55.4 (-117.2 to 228.0) min/day for MVPA]. There were significant positive correlations between all self-reported and objectively assessed PA subcomponents (rho= 0.12 to 0.36); the strongest were observed for MVPA (rho = 0.30 men; rho = 0.36 women) and PAEE (rho = 0.26 men; rho = 0.25 women).
EPAQ2 produces higher estimates of PAEE and MVPA and lower estimates of sedentary and LPA than objective assessment. However, both methodologies rank individuals similarly, suggesting that EPAQ2 may be used in etiological studies in this population.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0087085</identifier><identifier>PMID: 24516543</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Adults ; Biology ; Cardiovascular disease ; Comparative analysis ; Detection ; Energy expenditure ; Energy Metabolism - physiology ; Epidemiology ; Estimates ; Etiology ; Exercise ; Female ; Heart beat ; Heart rate ; Heart Rate - physiology ; Humans ; Kinesthesis - physiology ; Male ; Medical research ; Medicine ; Men ; Middle Aged ; Motor Activity - physiology ; Neoplasms - epidemiology ; Nutrition ; Older people ; Physical activity ; Population studies ; Prospective Studies ; Rankings ; Science ; Science Policy ; Sedentary Behavior ; Sensors ; Set (Psychology) ; Studies ; Surveys and Questionnaires ; Time Factors ; Type 2 diabetes ; United Kingdom - epidemiology</subject><ispartof>PloS one, 2014-02, Vol.9 (2), p.e87085-e87085</ispartof><rights>COPYRIGHT 2014 Public Library of Science</rights><rights>2014 España-Romero 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/legalcode (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>2014 España-Romero et al 2014 España-Romero et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-23e19a7c0bc65392b7feb9cd0df98ee6add36d5cb2fe8cbaa5c4fe177bdb3f6a3</citedby><cites>FETCH-LOGICAL-c692t-23e19a7c0bc65392b7feb9cd0df98ee6add36d5cb2fe8cbaa5c4fe177bdb3f6a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3916297/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3916297/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79569,79570</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24516543$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>España-Romero, Vanesa</creatorcontrib><creatorcontrib>Golubic, Rajna</creatorcontrib><creatorcontrib>Martin, Kathryn R</creatorcontrib><creatorcontrib>Hardy, Rebecca</creatorcontrib><creatorcontrib>Ekelund, Ulf</creatorcontrib><creatorcontrib>Kuh, Diana</creatorcontrib><creatorcontrib>Wareham, Nicholas J</creatorcontrib><creatorcontrib>Cooper, Rachel</creatorcontrib><creatorcontrib>Brage, Soren</creatorcontrib><creatorcontrib>NSHD scientific and data collection teams</creatorcontrib><creatorcontrib>on behalf of the NSHD scientific and data collection teams</creatorcontrib><title>Comparison of the EPIC Physical Activity Questionnaire with combined heart rate and movement sensing in a nationally representative sample of older British adults</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>To compare physical activity (PA) subcomponents from EPIC Physical Activity Questionnaire (EPAQ2) and combined heart rate and movement sensing in older adults.
Participants aged 60-64y from the MRC National Survey of Health and Development in Great Britain completed EPAQ2, which assesses self-report PA in 4 domains (leisure time, occupation, transportation and domestic life) during the past year and wore a combined sensor for 5 consecutive days. Estimates of PA energy expenditure (PAEE), sedentary behaviour, light (LPA) and moderate-to-vigorous PA (MVPA) were obtained from EPAQ2 and combined sensing and compared. Complete data were available in 1689 participants (52% women).
EPAQ2 estimates of PAEE and MVPA were higher than objective estimates and sedentary time and LPA estimates were lower [bias (95% limits of agreement) in men and women were 32.3 (-61.5 to 122.6) and 29.0 (-39.2 to 94.6) kJ/kg/day for PAEE; -4.6 (-10.6 to 1.3) and -6.0 (-10.9 to -1.0) h/day for sedentary time; -171.8 (-454.5 to 110.8) and -60.4 (-367.5 to 246.6) min/day for LPA; 91.1 (-159.5 to 341.8) and 55.4 (-117.2 to 228.0) min/day for MVPA]. There were significant positive correlations between all self-reported and objectively assessed PA subcomponents (rho= 0.12 to 0.36); the strongest were observed for MVPA (rho = 0.30 men; rho = 0.36 women) and PAEE (rho = 0.26 men; rho = 0.25 women).
EPAQ2 produces higher estimates of PAEE and MVPA and lower estimates of sedentary and LPA than objective assessment. However, both methodologies rank individuals similarly, suggesting that EPAQ2 may be used in etiological studies in this population.</description><subject>Adult</subject><subject>Adults</subject><subject>Biology</subject><subject>Cardiovascular disease</subject><subject>Comparative analysis</subject><subject>Detection</subject><subject>Energy expenditure</subject><subject>Energy Metabolism - physiology</subject><subject>Epidemiology</subject><subject>Estimates</subject><subject>Etiology</subject><subject>Exercise</subject><subject>Female</subject><subject>Heart beat</subject><subject>Heart rate</subject><subject>Heart Rate - physiology</subject><subject>Humans</subject><subject>Kinesthesis - physiology</subject><subject>Male</subject><subject>Medical research</subject><subject>Medicine</subject><subject>Men</subject><subject>Middle Aged</subject><subject>Motor Activity - physiology</subject><subject>Neoplasms - epidemiology</subject><subject>Nutrition</subject><subject>Older people</subject><subject>Physical activity</subject><subject>Population studies</subject><subject>Prospective Studies</subject><subject>Rankings</subject><subject>Science</subject><subject>Science Policy</subject><subject>Sedentary Behavior</subject><subject>Sensors</subject><subject>Set (Psychology)</subject><subject>Studies</subject><subject>Surveys and Questionnaires</subject><subject>Time Factors</subject><subject>Type 2 diabetes</subject><subject>United Kingdom - 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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>España-Romero, Vanesa</au><au>Golubic, Rajna</au><au>Martin, Kathryn R</au><au>Hardy, Rebecca</au><au>Ekelund, Ulf</au><au>Kuh, Diana</au><au>Wareham, Nicholas J</au><au>Cooper, Rachel</au><au>Brage, Soren</au><aucorp>NSHD scientific and data collection teams</aucorp><aucorp>on behalf of the NSHD scientific and data collection teams</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparison of the EPIC Physical Activity Questionnaire with combined heart rate and movement sensing in a nationally representative sample of older British adults</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2014-02-06</date><risdate>2014</risdate><volume>9</volume><issue>2</issue><spage>e87085</spage><epage>e87085</epage><pages>e87085-e87085</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>To compare physical activity (PA) subcomponents from EPIC Physical Activity Questionnaire (EPAQ2) and combined heart rate and movement sensing in older adults.
Participants aged 60-64y from the MRC National Survey of Health and Development in Great Britain completed EPAQ2, which assesses self-report PA in 4 domains (leisure time, occupation, transportation and domestic life) during the past year and wore a combined sensor for 5 consecutive days. Estimates of PA energy expenditure (PAEE), sedentary behaviour, light (LPA) and moderate-to-vigorous PA (MVPA) were obtained from EPAQ2 and combined sensing and compared. Complete data were available in 1689 participants (52% women).
EPAQ2 estimates of PAEE and MVPA were higher than objective estimates and sedentary time and LPA estimates were lower [bias (95% limits of agreement) in men and women were 32.3 (-61.5 to 122.6) and 29.0 (-39.2 to 94.6) kJ/kg/day for PAEE; -4.6 (-10.6 to 1.3) and -6.0 (-10.9 to -1.0) h/day for sedentary time; -171.8 (-454.5 to 110.8) and -60.4 (-367.5 to 246.6) min/day for LPA; 91.1 (-159.5 to 341.8) and 55.4 (-117.2 to 228.0) min/day for MVPA]. There were significant positive correlations between all self-reported and objectively assessed PA subcomponents (rho= 0.12 to 0.36); the strongest were observed for MVPA (rho = 0.30 men; rho = 0.36 women) and PAEE (rho = 0.26 men; rho = 0.25 women).
EPAQ2 produces higher estimates of PAEE and MVPA and lower estimates of sedentary and LPA than objective assessment. However, both methodologies rank individuals similarly, suggesting that EPAQ2 may be used in etiological studies in this population.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>24516543</pmid><doi>10.1371/journal.pone.0087085</doi><tpages>e87085</tpages><oa>free_for_read</oa></addata></record> |
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| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_1495648175 |
| source | Public Library of Science (PLoS) Journals Open Access; MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Adult Adults Biology Cardiovascular disease Comparative analysis Detection Energy expenditure Energy Metabolism - physiology Epidemiology Estimates Etiology Exercise Female Heart beat Heart rate Heart Rate - physiology Humans Kinesthesis - physiology Male Medical research Medicine Men Middle Aged Motor Activity - physiology Neoplasms - epidemiology Nutrition Older people Physical activity Population studies Prospective Studies Rankings Science Science Policy Sedentary Behavior Sensors Set (Psychology) Studies Surveys and Questionnaires Time Factors Type 2 diabetes United Kingdom - epidemiology |
| title | Comparison of the EPIC Physical Activity Questionnaire with combined heart rate and movement sensing in a nationally representative sample of older British adults |
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