TY - JOUR
T1 - Optimal Instruments for Measurement of Dietary Intake, Physical Activity, and Sleep Among Adults in Population-Based Studies
T2 - Report of a National Heart, Lung, and Blood Institute Workshop
AU - Anaya, Gabriel
AU - Gabriel, Kelley Pettee
AU - St-Onge, Marie Pierre
AU - van Horn, Linda V.
AU - Alfini, Alfonso
AU - Badon, Sylvia E.
AU - Boushey, Carol
AU - Brown, Alison
AU - Depner, Christopher M.
AU - Diaz, Keith M.
AU - Doherty, Aiden
AU - Dooley, Erin E.
AU - Dumuid, Dorothea
AU - Fernandez-Mendoza, Julio
AU - Grandner, Michael A.
AU - Herrick, Kirsten A.
AU - Hu, Frank B.
AU - Knutson, Kristen L.
AU - Paluch, Amanda
AU - Pratt, Charlotte A.
AU - Reis, Jared P.
AU - Schrack, Jennifer
AU - Shams-White, Marissa M.
AU - Thomas, Diana
AU - Tucker, Katherine L.
AU - Vadiveloo, Maya K.
AU - Wolff-Hughes, Dana L.
AU - Hong, Yuling
N1 - Publisher Copyright:
© 2024 The Author(s).
PY - 2024/11/5
Y1 - 2024/11/5
N2 - 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 under-stand 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.
AB - 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 under-stand 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.
UR - http://www.scopus.com/inward/record.url?scp=85208601606&partnerID=8YFLogxK
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U2 - 10.1161/JAHA.124.035818
DO - 10.1161/JAHA.124.035818
M3 - Review article
C2 - 39424410
AN - SCOPUS:85208601606
SN - 2047-9980
VL - 13
JO - Journal of the American Heart Association
JF - Journal of the American Heart Association
IS - 21
M1 - e035818
ER -