| Sleep Duration, Sleep Midpoint, Social Jetlag and Associations with Blood and Urine Metabolites in IDATA |
Joshua Freeman |
National Cancer Institute, Division of Cancer Epidemiology and Genetics |
IDATA |
Feb 24, 2023 |
IDATA-63 |
| Feasibility of Short-term Individualized Dietary Recall Methodology Among U.S. Older Adults |
Alexandra Cowan |
Texas A&M University AgriLife Research, Institute for Advancing Health Through Agriculture |
IDATA |
Feb 10, 2023 |
IDATA-62 |
| Metabolomic markers of physical activity in the IDATA Study |
Eleanor Watts |
National Cancer Institute |
IDATA |
Jan 13, 2023 |
IDATA-61 |
| Sedentary Behavior Patterns: A Latent Class Trajectory Analysis of Within-Day SB Patterns |
Margaret Damare |
The University of North Carolina at Chapel Hill |
IDATA |
Dec 5, 2022 |
IDATA-60 |
| Association between temporal dietary patterns and sedentary behaviors in middle-aged and older adults |
Zain Anderson |
University of North Carolina Chapel Hill |
IDATA |
Dec 5, 2022 |
IDATA-59 |
| Diurnal pattern of physical activity and adherence to physical activity |
Tongyu Ma |
Franklin Pierce University |
IDATA |
Oct 3, 2022 |
IDATA-57 |
| Mitigating measurement error and missing data impact on analysis of food frequency questionnaire data using machine learning methods |
Jennifer Frediani |
Emory University |
IDATA |
Aug 22, 2022 |
IDATA-56 |
| A Systematic Review of the Validity of Dietary Assessment Methods for Measuring Energy Intake of Adults with Class III Obesity |
Valisa Hedrick |
Virginia Tech |
IDATA |
Jul 5, 2022 |
IDATA-55 |
| Evaluation of measurement errors in total sugars and animal protein intakes assessed by self-reported dietary instruments using dietary biomarkers |
Natasha Tasevska |
Arizona State University |
IDATA |
Apr 1, 2022 |
2021-1004 |
| Comparison of self-reported water intake against recovery biomarkers |
Douglas Chang |
National Institute of Diabetes and Digestive and Kidney Diseases |
IDATA |
Mar 25, 2022 |
IDATA-54 |
| BRG IDATA Analyses |
Kevin Dodd |
National Cancer Institute, National Institutes of Health |
IDATA |
Mar 17, 2022 |
IDATA-53 |
| Improving Measurement of Physical Activity and Sedentary Behavior |
Stephanie Eckman |
RTI International |
IDATA |
Nov 19, 2021 |
IDATA-50 |
| Investigating the agreement of the composition and time spent in different physical activities derived from accelerometer data captured at different sensor locations |
Malcolm Granat |
University of Salford |
IDATA |
Oct 21, 2021 |
IDATA-49 |
| Validating an Inference Engine for Data-driven Personalized Diet Goals |
Marissa Burgermaster |
University of Texas at Austin |
IDATA |
Jun 15, 2021 |
IDATA-46 |
| Temporal Lifestyle Patterns Linked with Health Indicators |
Heather Eicher-Miller |
Purdue University |
IDATA |
May 27, 2021 |
IDATA-44 |
| Development of new predictive energy equations in adults aged 65-79 years and ≥80 years |
Judi Porter |
Deakin University |
IDATA |
Mar 23, 2021 |
IDATA-42 |
| Levering Interactive Diet and Activity Tracking Study Data to Inform Precision Dietary Assessment |
Regan Bailey |
Purdue University |
IDATA |
Feb 11, 2021 |
IDATA-41 |
| Dietary biomarker development in the Interactive Diet and Activity Tracking in AARP Study |
Erikka Loftfield |
National Cancer Institute |
IDATA |
Dec 11, 2020 |
2020-1014 |
| Temporal dietary patterns and metabolic markers |
Yikyung Park |
Washington University in St. Louis |
IDATA |
Sep 11, 2020 |
2019-0001 |
| Reliability of 24-Hour Dietary Recall for Measuring Meal Timing |
Mary Playdon |
University of Utah |
IDATA |
Sep 11, 2020 |
IDATA-40 |
