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dc.contributor.authorMatthews, Charles E.
dc.contributor.authorHebert, James R.
dc.contributor.authorFreedson, Patty S.
dc.contributor.authorStanek, Edward J.
dc.contributor.authorMerriam, Philip A.
dc.contributor.authorEbbeling, Cara B.
dc.contributor.authorOckene, Ira S.
dc.date2022-08-11T08:08:02.000
dc.date.accessioned2022-08-23T15:40:24Z
dc.date.available2022-08-23T15:40:24Z
dc.date.issued2001-06-01
dc.date.submitted2008-04-11
dc.identifier.citation<p>Am J Epidemiol. 2001 May 15;153(10):987-95.</p>
dc.identifier.issn0002-9262 (Print)
dc.identifier.doi10.1093/aje/153.10.987
dc.identifier.pmid11384955
dc.identifier.urihttp://hdl.handle.net/20.500.14038/26394
dc.description.abstractThe authors examined sources of variance in self-reported physical activity in a cohort of healthy adults (n = 580) from Worcester, Massachusetts (the Seasonal Variation of Blood Cholesterol Study, 1994-1998). Fifteen 24-hour physical activity recalls of total, occupational, and nonoccupational activity (metabolic equivalent-hours/day) were obtained over 12 months. Random effects models were employed to estimate variance components for subject, season, day of the week, and residual error, from which the number of days of assessment required to achieve 80% reliability was estimated. The largest proportional source of variance in total and nonoccupational activity was within-subject variance (50-60% of the total). Differences between subjects accounted for 20-30% of the overall variance in total activity, and seasonal and day-of-the-week effects accounted for 6% and 15%, respectively. For total activity, 7-10 days of assessment in men and 14-21 days of assessment in women were required to achieve 80% reliability. For nonoccupational activity, 21-28 days of assessment were required. This study is among the first to have examined the sources of variance in daily physical activity levels in a large population of adults using 24-hour physical activity recall. These findings provide insight for understanding the strengths and limitations of short term and long term physical activity assessments employed in epidemiologic studies.
dc.language.isoen_US
dc.relation<p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=11384955&dopt=Abstract ">Link to article in PubMed</a></p>
dc.relation.urlhttps://doi.org/10.1093/aje/153.10.987
dc.subject*Activities of Daily Living
dc.subjectAdult
dc.subjectAged
dc.subjectCholesterol
dc.subjectEpidemiologic Studies
dc.subjectFemale
dc.subjectHumans
dc.subjectLongitudinal Studies
dc.subjectMale
dc.subjectMiddle Aged
dc.subjectOccupations
dc.subject*Physical Fitness
dc.subjectRecreation
dc.subjectReproducibility of Results
dc.subject*Seasons
dc.subjectepidemiologic measurements
dc.subjectexercise
dc.subjectreproducibility of results
dc.subjectseasons
dc.subjectMET(s)
dc.subjectmetabolic equivalent(s)
dc.subjectSD
dc.subjectstandard deviation
dc.subjectSEASON
dc.subjectSeasonal Variation of Blood Cholesterol
dc.subjectBiochemical Phenomena, Metabolism, and Nutrition
dc.subjectCardiology
dc.subjectCardiovascular Diseases
dc.subjectEnvironmental Public Health
dc.subjectEpidemiology
dc.subjectLipids
dc.subjectMusculoskeletal, Neural, and Ocular Physiology
dc.subjectPolycyclic Compounds
dc.titleSources of variance in daily physical activity levels in the seasonal variation of blood cholesterol study
dc.typeJournal Article
dc.source.journaltitleAmerican journal of epidemiology
dc.source.volume153
dc.source.issue10
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/cardio_pp/77
dc.identifier.contextkey488373
html.description.abstract<p>The authors examined sources of variance in self-reported physical activity in a cohort of healthy adults (n = 580) from Worcester, Massachusetts (the Seasonal Variation of Blood Cholesterol Study, 1994-1998). Fifteen 24-hour physical activity recalls of total, occupational, and nonoccupational activity (metabolic equivalent-hours/day) were obtained over 12 months. Random effects models were employed to estimate variance components for subject, season, day of the week, and residual error, from which the number of days of assessment required to achieve 80% reliability was estimated. The largest proportional source of variance in total and nonoccupational activity was within-subject variance (50-60% of the total). Differences between subjects accounted for 20-30% of the overall variance in total activity, and seasonal and day-of-the-week effects accounted for 6% and 15%, respectively. For total activity, 7-10 days of assessment in men and 14-21 days of assessment in women were required to achieve 80% reliability. For nonoccupational activity, 21-28 days of assessment were required. This study is among the first to have examined the sources of variance in daily physical activity levels in a large population of adults using 24-hour physical activity recall. These findings provide insight for understanding the strengths and limitations of short term and long term physical activity assessments employed in epidemiologic studies.</p>
dc.identifier.submissionpathcardio_pp/77
dc.contributor.departmentDepartment of Medicine, Division of Cardiovascular Medicine
dc.contributor.departmentDepartment of Medicine, Division of Preventive and Behavioral Medicine
dc.source.pages987-95


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