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Poly-metabolite score of adherence to the 2018 World Cancer Research Fund (WCRF)/American Institute for Cancer Research (AICR) Cancer Prevention Recommendations in the Interactive Diet and Activity Tracking in AARP (IDATA) Study

Principal Investigator
Name
Erikka Loftfield
Degrees
Ph.D., M.P.H.
Institution
Erikka Loftfield Cronin
Position Title
Investigator
Email
About this CDAS Project
Study
IDATA (Learn more about this study)
Project ID
IDATA-74
Initial CDAS Request Approval
Jun 14, 2024
Title
Poly-metabolite score of adherence to the 2018 World Cancer Research Fund (WCRF)/American Institute for Cancer Research (AICR) Cancer Prevention Recommendations in the Interactive Diet and Activity Tracking in AARP (IDATA) Study
Summary
The World Cancer Research Fund (WCRF)/American Institute for Cancer Research (AICR) Cancer Prevention Recommendations are ten lifestyle-based recommendations which aim to reduce the risk of (any) cancer worldwide. These were updated in 2018 to reflect the latest scientific evidence. Subsequently, a standardised scoring system (the ‘2018 WCRF/AICR Score’) was created to standardise how adherence to the recommendations was measured, as well as to promote research investigating associations between this Score and cancer-related outcomes. An ‘unhealthier’ lifestyle (lower adherence score) could result in increased cancer risk through metabolic changes. For example, individual dietary and lifestyle factors such as BMI and the intake of red meat have been associated with concentrations of biomarkers and metabolites associated with cancer risk.
Aims

The main aim of this study is to identify biomarkers and metabolites associated with greater adherence to the WCRF/AICR Cancer Prevention Recommendations (i.e., 2018 WCRF/AICR Score) in the Interactive Diet and Activity Tracking in AARP (IDATA) Study. We will calculate 2018 WCRF/AICR Scores using: physical activity self-report data, DHQ II dietary data, and anthropometry data (BMI and waist circumference).
The IDATA Study provides an invaluable research resource due to its richness in both dietary/lifestyle and reference biomarker/metabolite data, including measurements made at serial timepoints over a one-year period. The unique nature of the IDATA Study in collecting serial measurements will also allow for the exploration of within-person variability in 2018 WCRF/AICR Score and in levels of biomarkers and metabolites over time.

Collaborators

Fiona Malcomson