4.6 Article

Calibration of activity-related energy expenditure in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL)

Journal

JOURNAL OF SCIENCE AND MEDICINE IN SPORT
Volume 22, Issue 3, Pages 300-306

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.jsams.2018.07.021

Keywords

Accelerometry; Calibration; Doubly labeled water; Indirect calorimetry; Measurement error; Self-assessment

Categories

Funding

  1. National Heart, Lung, and Blood Institute (NHLBI) [R01HL095856]
  2. NHLBI [N01-HC65233, R0I HL136266]
  3. University of Miami [N01-HC65234]
  4. Albert Einstein College of Medicine [N01-HC65237]
  5. National Center on Minority Health and Health Disparities
  6. National Institute of Deafness and Other Communications Disorders
  7. National Institute of Dental and Craniofacial Research
  8. National Institute of Diabetes and Digestive and Kidney Diseases
  9. National Institute of Neurological Disorders and Stroke
  10. Office of Dietary Supplements
  11. National Center for Advancing Translational Sciences at the National Institutes of Health (NIH) [UL1 TR001073]
  12. NATIONAL CANCER INSTITUTE [ZIACP010197] Funding Source: NIH RePORTER

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Objectives: Usual physical activity (PA) is a complex exposure and typical instruments to measure aspects of PA are subject to measurement error, from systematic biases and biological variability. This error can lead to biased estimates of associations between PA and health outcomes. We developed a calibrated physical activity measure that adjusts for measurement error in both self-reported and accelerometry measures of PA in adults from the US Hispanic Community Health Study/Study of Latinos (HCHS/SOL), a community-based cohort study. Design: Total energy expenditure (TEE) from doubly labeled water and resting energy expenditure (REE) from indirect calorimetry were measured in 445 men and women aged 18-74 years in 2010-2012, as part of the HCHS/SOL Study of Latinos: Nutrition & Physical Activity Assessment Study (SOLNAS). Measurements were repeated in a subset (N = 98) 6 months later. Method: Calibration equations for usual activity-related energy expenditure (ARE = 0.90 x TEE-REE) were developed by regressing this objective biomarker on self-reported PA and sedentary behavior, Actical accelerometer PA, and other subject characteristics. Results: Age, weight and height explained a significant amount of variation in AEE. Actical PA and wear time were important predictors of AEE; whereas, self-reported PA was not independently associated with AEE. The final calibration equation explained fifty percent of variation in AEE. Conclusions: The developed calibration equations can be used to obtain error-corrected associations between PA and health outcomes in HCHS/SOL. Our study represents a unique opportunity to understand the measurement characteristics of PA instruments in an under-studied Hispanic/Latino cohort. (C) 2018 Sports Medicine Australia. Published by Elsevier Ltd.

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