Validating the Stability of Chrononutrition Behaviors: Insights from Repeated Dietary Assessments Using ASA24
Principal Investigator
Name
Samaneh Farsijani
Degrees
PhD, RD
Institution
University of Pittsburgh
Position Title
Assistant Professor
Email
About this CDAS Project
Study
IDATA
(Learn more about this study)
Project ID
IDATA-86
Initial CDAS Request Approval
Jan 6, 2025
Title
Validating the Stability of Chrononutrition Behaviors: Insights from Repeated Dietary Assessments Using ASA24
Summary
Our group has previously defined multiple eating time behaviors (i.e., chrononutrition), including first and last intake times and the eating window, using 24-hour food recall data collected through the NIH/NCI-developed ASA24 tool. Using these chrononutrition behaviors, we demonstrated that a longer eating window and earlier first and later last intake times were cross-sectionally associated with greater muscle mass and function in community-living older adults from the Study of Muscle, Mobility, and Aging (SOMMA).
I am currently studying the longitudinal relationship between baseline assessments of chrononutrition behaviors and the incidence of frailty in the SOMMA cohort. However, to complete this project, I need to determine whether chrononutrition behaviors remain stable over time or show variation. This is critical because my study includes only a single time-point assessment of chrononutrition behaviors rather than repeated assessments.
The only dataset I have identified that used the same dietary collection tool (ASA24) with repeated dietary measures over one year is the IDATA dataset. Therefore, I propose conducting a validation study using IDATA dataset to evaluate changes in chrononutrition behaviors within individuals over time.
I am currently studying the longitudinal relationship between baseline assessments of chrononutrition behaviors and the incidence of frailty in the SOMMA cohort. However, to complete this project, I need to determine whether chrononutrition behaviors remain stable over time or show variation. This is critical because my study includes only a single time-point assessment of chrononutrition behaviors rather than repeated assessments.
The only dataset I have identified that used the same dietary collection tool (ASA24) with repeated dietary measures over one year is the IDATA dataset. Therefore, I propose conducting a validation study using IDATA dataset to evaluate changes in chrononutrition behaviors within individuals over time.
Aims
To evaluate the temporal stability and variation of chrononutrition behaviors (e.g., first and last intake times, eating window, mid-point of eating time, and eating frequency) over time within individuals using the IDATA dataset, which includes repeated dietary assessments collected with the NIH/NCI-developed ASA24 tool. This aim seeks to determine whether chrononutrition behaviors remain consistent over time, providing critical validation for interpreting longitudinal associations between baseline chrononutrition behaviors and health outcomes
Collaborators
Anne B Newman