Literature DB >> 11384955

Sources of variance in daily physical activity levels in the seasonal variation of blood cholesterol study.

C E Matthews1, J R Hebert, P S Freedson, E J Stanek , P A Merriam, C B Ebbeling, I S Ockene.   

Abstract

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.

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Year:  2001        PMID: 11384955     DOI: 10.1093/aje/153.10.987

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  25 in total

1.  Seasonal variation in leisure-time physical activity among Canadians.

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2.  Seasonal variation in food intake, physical activity, and body weight in a predominantly overweight population.

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5.  Reply to E Archer and SN Blair.

Authors:  James R Hébert; Thomas G Hurley; Susan E Steck; Donald R Miller; Fred K Tabung; Lawrence H Kushi; Edward A Frongillo
Journal:  Adv Nutr       Date:  2015-03-13       Impact factor: 8.701

Review 6.  Physical activity and mammographic breast density: a systematic review.

Authors:  Lusine Yaghjyan; Graham A Colditz; Kathleen Wolin
Journal:  Breast Cancer Res Treat       Date:  2012-07-20       Impact factor: 4.872

7.  Single-component versus multicomponent dietary goals for the metabolic syndrome: a randomized trial.

Authors:  Yunsheng Ma; Barbara C Olendzki; Jinsong Wang; Gioia M Persuitte; Wenjun Li; Hua Fang; Philip A Merriam; Nicole M Wedick; Ira S Ockene; Annie L Culver; Kristin L Schneider; Gin-Fei Olendzki; James Carmody; Tingjian Ge; Zhiying Zhang; Sherry L Pagoto
Journal:  Ann Intern Med       Date:  2015-02-17       Impact factor: 25.391

8.  "Spatial Energetics": Integrating Data From GPS, Accelerometry, and GIS to Address Obesity and Inactivity.

Authors:  Peter James; Marta Jankowska; Christine Marx; Jaime E Hart; David Berrigan; Jacqueline Kerr; Philip M Hurvitz; J Aaron Hipp; Francine Laden
Journal:  Am J Prev Med       Date:  2016-08-12       Impact factor: 5.043

9.  How many days was that? We're still not sure, but we're asking the question better!

Authors:  Tom Baranowski; Louise C Mâsse; Brian Ragan; Greg Welk
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10.  Validation of a previous-day recall measure of active and sedentary behaviors.

Authors:  Charles E Matthews; Sarah Kozey Keadle; Joshua Sampson; Kate Lyden; Heather R Bowles; Stephen C Moore; Amanda Libertine; Patty S Freedson; Jay H Fowke
Journal:  Med Sci Sports Exerc       Date:  2013-08       Impact factor: 5.411

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