Optimal Instruments for Measurement of Dietary Intake, Physical Activity, and Sleep Among Adults in Population-Based Studies: Report of a National Heart, Lung, and Blood Institute Workshop

The National Heart, Lung, and Blood Institute convened a virtual workshop in September 2022 to discuss "Optimal Instruments for Measurement of Diet, Physical Activity, and Sleep." This report summarizes the proceedings, identifying current research gaps and future directions for measuring...

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Veröffentlicht in:Journal of the American Heart Association 2024-11, Vol.13 (21), p.e035818
Hauptverfasser: Anaya, Gabriel, Pettee Gabriel, Kelley, St-Onge, Marie-Pierre, van Horn, Linda V, Alfini, Alfonso, Badon, Sylvia E, Boushey, Carol, Brown, Alison, Depner, Christopher M, Diaz, Keith M, Doherty, Aiden, Dooley, Erin E, Dumuid, Dorothea, Fernandez-Mendoza, Julio, Grandner, Michael A, Herrick, Kirsten A, Hu, Frank B, Knutson, Kristen L, Paluch, Amanda, Pratt, Charlotte A, Reis, Jared P, Schrack, Jennifer, Shams-White, Marissa M, Thomas, Diana, Tucker, Katherine L, Vadiveloo, Maya K, Wolff-Hughes, Dana L, Hong, Yuling
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Sprache:eng
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Zusammenfassung:The National Heart, Lung, and Blood Institute convened a virtual workshop in September 2022 to discuss "Optimal Instruments for Measurement of Diet, Physical Activity, and Sleep." This report summarizes the proceedings, identifying current research gaps and future directions for measuring different lifestyle behaviors in adult population-based studies. Key discussions centered on integrating report-based methods, like questionnaires, with device-based assessments, including wearables and physiological measures such as biomarkers and omics to enhance self-reported metrics and better understand the underlying biologic mechanisms of chronic diseases. Emphasis was placed on the need for data harmonization, including the adoption of standard terminology, reproducible metrics, and accessible raw data, to enhance the analysis through artificial intelligence and machine learning techniques. The workshop highlighted the importance of standardizing procedures for integrated behavioral phenotypes using time-series data. These efforts aim to refine data accuracy and comparability across studies and populations, thereby advancing our understanding of lifestyle behaviors and their impact on chronic disease outcomes over the life course.
ISSN:2047-9980
2047-9980
DOI:10.1161/JAHA.124.035818