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

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    Authors
    Matthews, Charles E.
    Hebert, James R.
    Freedson, Patty S.
    Stanek, Edward J.
    Merriam, Philip A.
    Ebbeling, Cara B.
    Ockene, Ira S.
    UMass Chan Affiliations
    Department of Medicine, Division of Cardiovascular Medicine
    Department of Medicine, Division of Preventive and Behavioral Medicine
    Document Type
    Journal Article
    Publication Date
    2001-06-01
    Keywords
    *Activities of Daily Living
    Adult
    Aged
    Cholesterol
    Epidemiologic Studies
    Female
    Humans
    Longitudinal Studies
    Male
    Middle Aged
    Occupations
    *Physical Fitness
    Recreation
    Reproducibility of Results
    *Seasons
    epidemiologic measurements
    exercise
    reproducibility of results
    seasons
    MET(s)
    metabolic equivalent(s)
    SD
    standard deviation
    SEASON
    Seasonal Variation of Blood Cholesterol
    Biochemical Phenomena, Metabolism, and Nutrition
    Cardiology
    Cardiovascular Diseases
    Environmental Public Health
    Epidemiology
    Lipids
    Musculoskeletal, Neural, and Ocular Physiology
    Polycyclic Compounds
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    Link to Full Text
    https://doi.org/10.1093/aje/153.10.987
    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.
    Source

    Am J Epidemiol. 2001 May 15;153(10):987-95.

    DOI
    10.1093/aje/153.10.987
    Permanent Link to this Item
    http://hdl.handle.net/20.500.14038/26394
    PubMed ID
    11384955
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    Link to article in PubMed

    ae974a485f413a2113503eed53cd6c53
    10.1093/aje/153.10.987
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      Seasonality in onset of youth smoking parallels seasonality in cigarette sales

      Wellman, Robert J.; DiFranza, Joseph R. (2003-09-06)
      Extract: Cigarette sales in the USA peak in the summer months, June through August. This finding prompted examination of data on the onset of youth smoking to determine whether a similar pattern could be discerned. In this letter we report data from the Development and Assessment of Nicotine Dependence in Youth (DANDY) study.
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      A population-based dietary inflammatory index predicts levels of C-reactive protein in the Seasonal Variation of Blood Cholesterol Study (SEASONS)

      Shivappa, Nitin; Steck, Susan E.; Hurley, Thomas G.; Hussey, James R.; Ma, Yunsheng; Ockene, Ira S.; Tabung, Fred; Hebert, James R. (2014-08-01)
      OBJECTIVE: To perform construct validation of the population-based Dietary Inflammatory Index (DII) using dietary data from two different dietary assessments and serum high-sensitivity C-reactive protein (hs-CRP) as the construct validator. DESIGN: Using data derived from (i) three 24 h dietary recalls (24HR) at baseline and at the end of each subsequent quarter (i.e. up to fifteen over a year) and (ii) a 7 d dietary recall (7DDR) measured at baseline and then quarterly, regression analyses were conducted to test the effect of the DII score on serum hs-CRP as dichotomous (3 mg/l), while controlling for important potential confounders. SETTING: Existing data from the Seasonal Variation of Blood Cholesterol Study (SEASONS), a longitudinal observational study of healthy participants recruited in Worcester, MA, USA and participants were followed for 1 year. SUBJECTS: Participants who had at least one hs-CRP measurement over her/his 1-year participation (n 495 for 24HR, n 559 for 7DDR). RESULTS: Higher DII scores were associated with values of hs-CRP >3 mg/l (OR = 1.08; 95 % CI 1.01, 1.16, P = 0.035 for the 24HR; and OR = 1.10; 95 % CI 1.02, 1.19, P = 0.015 for the 7DDR). CONCLUSIONS: The population-based DII was associated with interval changes in hs-CRP using both the 24HR and 7DDR. The success of this first-of-a-kind attempt at relating individuals' intakes of inflammation-modulating foods using this refined DII, and the finding that there is virtually no drop-off in predictive capability using a structured questionnaire in comparison to the 24HR standard, sets the stage for use of the DII in a wide variety of other epidemiological and clinical studies.
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      Seasonal variation in household, occupational, and leisure time physical activity: longitudinal analyses from the seasonal variation of blood cholesterol study

      Matthews, Charles E.; Freedson, Patty S.; Hebert, James R.; Stanek, Edward J.; Merriam, Philip A.; Rosal, Milagros C.; Ebbeling, Cara B.; Ockene, Ira S. (2001-02-13)
      The authors examined seasonal variation in physical activity in longitudinal analyses of 580 healthy adults from Worcester, Massachusetts (the Seasonal Variation of Blood Cholesterol Study, 1994-1998). Three 24-hour physical activity recalls administered five times during 12 months of follow-up were used to estimate household, occupational, leisure time, and total physical activity levels in metabolic equivalent (MET)-hours/day. Trigonometric models were used to estimate the peak-to-trough amplitude and phase of the peaks in activity during the year. Total activity increased by 1.4 MET-hours/day (121 kcal/day) in men and 1.0 MET-hours/day (70 kcal/day) in women during the summer in comparison with winter. Moderate intensity nonoccupational activity increased by 2.0-2.4 MET-hours/day in the summer. During the summer, objectively measured mean physical activity increased by 51 minutes/day (95% confidence interval: 20, 82) in men and by 16 minutes/day (95% confidence interval: -12, 45) in women. The authors observed complex patterns of seasonal change that varied in amplitude and phase by type and intensity of activity and by subject characteristics (i.e., age, obesity, and exercise). These findings have important implications for clinical research studies examining the health effects of physical activity and for health promotion efforts designed to increase population levels of physical activity.
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