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

被引:3
作者
Anaya, Gabriel [1 ]
Pettee Gabriel, Kelley [2 ]
St-Onge, Marie-Pierre [3 ]
van Horn, Linda V. [4 ]
Alfini, Alfonso [5 ]
Badon, Sylvia E. [6 ]
Boushey, Carol [7 ]
Brown, Alison [8 ]
Depner, Christopher M. [9 ]
Diaz, Keith M. [10 ]
Doherty, Aiden [11 ]
Dooley, Erin E. [2 ]
Dumuid, Dorothea [12 ]
Fernandez-Mendoza, Julio [13 ]
Grandner, Michael A. [14 ]
Herrick, Kirsten A. [15 ]
Hu, Frank B. [16 ]
Knutson, Kristen L. [17 ]
Paluch, Amanda [18 ,19 ]
Pratt, Charlotte A. [8 ]
Reis, Jared P. [1 ]
Schrack, Jennifer [20 ]
Shams-White, Marissa M. [15 ]
Thomas, Diana [21 ]
Tucker, Katherine L. [22 ]
Vadiveloo, Maya K. [23 ]
Wolff-Hughes, Dana L. [15 ]
Hong, Yuling [1 ]
机构
[1] NIH, NHLBI, Prevent & Populat Sci Program, Div Cardiovasc Sci,Epidemiol Branch, 6705 Rockledge Dr, Bethesda, MD 20892 USA
[2] Univ Alabama Birmingham, Sch Publ Hlth, Dept Epidemiol, Birmingham, AL USA
[3] Columbia Univ Irving Med Ctr, Dept Med, New York, NY USA
[4] Northwestern Univ, Feinberg Sch Med, Dept Prevent Med, Chicago, IL USA
[5] NIH, NHLBI, Natl Ctr Sleep Disorders Res, Div Lung Dis, Bethesda, MD USA
[6] Kaiser Permanente Northern Calif, Div Res, Oakland, CA USA
[7] Univ Hawaii Manoa, Univ Hawaii Canc Ctr, Epidemiol Program, Honolulu, HI USA
[8] NIH, NHLBI, Prevent & Populat Sci Program, Div Cardiovasc Sci,Clin Applicat & Prevent Branch, Bethesda, MD USA
[9] Univ Utah, Dept Hlth & Kinesiol, Salt Lake City, UT USA
[10] Columbia Univ Med Ctr, New York, NY USA
[11] Univ Oxford, Nuffield Dept Populat Hlth, Oxford, England
[12] Univ South, Alliance Res Exercise Nutr & Act, Adelaide, Australia
[13] Penn State Univ, Penn State Hlth Sleep Res & Treatment Ctr, Coll Med, Hershey, PA USA
[14] Univ Arizona, Coll Med, Tucson, AZ USA
[15] NCI, Epidemiol & Genom Res Program, Div Canc Control & Populat Sci, Risk Factor Assessment Branch, Bethesda, MD USA
[16] Harvard Univ, Harvard TH Chan Sch Publ Hlth, Boston, MA USA
[17] Northwestern Univ, Feinberg Sch Med, Chicago, IL USA
[18] Univ Massachusetts, Amherst, MA 01003 USA
[19] Univ Massachusetts, Inst Appl Life Sci, Amherst, MA USA
[20] John Hopkins Univ Ctr Aging & Hlth, Johns Hopkins Bloomberg Sch Publ Hlth, Baltimore, MD USA
[21] US Mil Acad, West Point, NY USA
[22] Univ Massachusetts Lowell, Biomed & Nutr Sci, Lowell, MA USA
[23] Univ Rhode Isl, Dept Nutr & Food Sci, Kingston, RI USA
来源
JOURNAL OF THE AMERICAN HEART ASSOCIATION | 2024年 / 13卷 / 21期
关键词
chronic diseases; data harmonization; lifestyle behaviors; population-based studies; wearables; FOOD FREQUENCY QUESTIONNAIRE; RESOURCE;
D O I
10.1161/JAHA.124.035818
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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.
引用
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页数:12
相关论文
共 44 条
[1]   A Mobile Phone User Interface for Image-Based Dietary Assessment [J].
Ahmad, Ziad ;
Khanna, Nitin ;
Kerr, Deborah A. ;
Boushey, Carol J. ;
Delp, Edward J. .
MOBILE DEVICES AND MULTIMEDIA: ENABLING TECHNOLOGIES, ALGORITHMS, AND APPLICATIONS 2014, 2014, 9030
[2]  
[Anonymous], 2002, Dietary risk assessment in the WIC program
[3]   Racial differences in correlations between reported dietary intakes of carotenoids and their concentration biomarkers [J].
Arab, Lenore ;
Cambou, Mary C. ;
Craft, Neal ;
Wesseling-Perry, Katherine ;
Jardack, Patricia ;
Ang, Alfonso .
AMERICAN JOURNAL OF CLINICAL NUTRITION, 2011, 93 (05) :1102-1108
[4]   EVALUATION OF METHODS USED TO ASSESS DIETARY-INTAKE - SIMULATION ANALYSES [J].
BEATON, GH ;
CHERY, A .
CANADIAN JOURNAL OF PHYSIOLOGY AND PHARMACOLOGY, 1986, 64 (06) :772-780
[5]   Combined Effects of Time Spent in Physical Activity, Sedentary Behaviors and Sleep on Obesity and Cardio-Metabolic Health Markers: A Novel Compositional Data Analysis Approach [J].
Chastin, Sebastien F. M. ;
Palarea-Albaladejo, Javier ;
Dontje, Manon L. ;
Skelton, Dawn A. .
PLOS ONE, 2015, 10 (10)
[6]   Healthful eating patterns, serum metabolite profile and risk of diabetes in a population-based prospective study of US Hispanics/Latinos [J].
Chen, Guo-Chong ;
Chai, Jin Choul ;
Xing, Jiaqian ;
Moon, Jee-Young ;
Shan, Zhilei ;
Yu, Bing ;
Mossavar-Rahman, Yasmin ;
Sotres-Alvarez, Daniela ;
Li, Jun ;
Mattei, Josiemer ;
Daviglus, Martha L. ;
Perkins, David L. ;
Burk, Robert D. ;
Boerwinkle, Eric ;
Kaplan, Robert C. ;
Hu, Frank B. ;
Qi, Qibin .
DIABETOLOGIA, 2022, 65 (07) :1133-1144
[7]  
Committee P.A. G. A., 2018, Physical Activity Guidelines Advisory Committee Scientific Report
[8]   Development of a Technology-Assisted Food Frequency Questionnaire for Elementary and Middle School Children: Findings from a Pilot Study [J].
Deierlein, Andrea L. ;
Bihuniak, Jessica D. ;
Nagi, Ekanta ;
Litvak, Jackie ;
Victoria, Christian ;
Braune, Tanya ;
Weiss, Rick ;
Parekh, Niyati .
NUTRIENTS, 2019, 11 (05)
[9]  
Delp EJ., Technology Assisted Dietary Assessment
[10]   Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study [J].
Doherty, Aiden ;
Jackson, Dan ;
Hammerla, Nils ;
Plotz, Thomas ;
Olivier, Patrick ;
Granat, Malcolm H. ;
White, Tom ;
van Hees, Vincent T. ;
Trenell, Michael I. ;
Owen, Christoper G. ;
Preece, Stephen J. ;
Gillions, Rob ;
Sheard, Simon ;
Peakman, Tim ;
Brage, Soren ;
Wareham, Nicholas J. .
PLOS ONE, 2017, 12 (02)