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Measurement of Active and Sedentary Behavior in Context of Large Epidemiologic Studies.
Matthews, Charles E; Kozey Keadle, Sarah; Moore, Steven C; Schoeller, Dale S; Carroll, Raymond J; Troiano, Richard P; Sampson, Joshua N.
Afiliação
  • Matthews CE; Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD.
  • Kozey Keadle S; Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD.
  • Moore SC; Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD.
  • Schoeller DS; Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD.
  • Carroll RJ; Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD.
  • Troiano RP; Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD.
  • Sampson JN; Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD.
Med Sci Sports Exerc ; 50(2): 266-276, 2018 02.
Article em En | MEDLINE | ID: mdl-28930863
ABSTRACT
INTRODUCTION/

PURPOSE:

To assess the utility of measurement methods that may be more accurate and precise than traditional questionnaire-based estimates of habitual physical activity and sedentary behavior we compared the measurement properties of a past year questionnaire (AARP) and more comprehensive

measures:

an internet-based 24-h recall (ACT24), and a variety of estimates from an accelerometer (ActiGraph).

METHODS:

Participants were 932 adults (50-74 yr) in a 12-month study that included reference measures of energy expenditure from doubly labeled water (DLW) and active and sedentary time via activPAL.

RESULTS:

Accuracy at the group level (mean differences) was generally better for both ACT24 and ActiGraph than the AARP questionnaire. The AARP accuracy for energy expenditure ranged from -4% to -13% lower than DLW, but its accuracy was poorer for physical activity duration (-48%) and sedentary time (-18%) versus activPAL. In contrast, ACT24 accuracy was within 3% to 10% of DLW expenditure measures and within 1% to 3% of active and sedentary time from activPAL. For ActiGraph, accuracy for energy expenditure was best for the Crouter 2-regression method (-2% to -7%), and for active and sedentary time the 100 counts per minute cutpoint was most accurate (-1% to 2%) at the group level. One administration of the AARP questionnaire was significantly correlated with long-term average from the reference measures (ρTX = 0.16-0.34) overall, but four ACT24 recalls had higher correlations (ρTX = 0.48-0.60), as did 4 d of ActiGraph assessment (ρTX = 0.54-0.87).

CONCLUSIONS:

New exposure assessments suitable for use in large epidemiologic studies (ACT24, ActiGraph) were more accurate and had higher correlations than a traditional questionnaire. Use of better more comprehensive measures in future epidemiologic studies could yield new etiologic discoveries and possibly new opportunities for prevention.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Exercício Físico / Metabolismo Energético / Actigrafia / Comportamento Sedentário Tipo de estudo: Observational_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Med Sci Sports Exerc Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Moldávia

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Exercício Físico / Metabolismo Energético / Actigrafia / Comportamento Sedentário Tipo de estudo: Observational_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Med Sci Sports Exerc Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Moldávia