Abstract P3104: Assessment of Dietary Recall Plausibility Using an Updated Formula that Considers Energy Intake Measured by Doubly-Labeled Water

L Leinys Santos Baez (Columbia University, Yonkers, New York, United States) M Michele N. Ravelli (University of Wisconsin - Madison, Madison, Wisconsin, United States) D Diana A. Diaz-Rizzolo (Columbia University, Yonkers, New York, United States) C Collin Popp (NYU Langone Grossman School of Medicine, New York, New York, United States) B Bin Cheng (Department of Periodontology, Hospital of Stomatology, Sun Yat-Sen University) D Dympna Gallagher (Columbia University, Yonkers, New York, United States) D Dale Schoeller (University Wisconsin-Madison, Madison, Wisconsin, United States) B Blandine Laferrere (Columbia University Irving Medical Center, New York, New York, United States)

Abstract

Background: Self-reported, free-living energy intake (rEI) by dietary recalls are notoriously inaccurate. Assessment of rEI plausibility have been limited to arbitrary assumptions or validation against measured energy expenditure (mEE) by doubly-labeled water (DLW). We aimed to identify plausible dietary recalls using an updated formula that considers measured energy intake calculated by DLW (mEI) instead. Methods: In a two-week cross-sectional study, up to six rEI by repeated Automated Self-Administered 24-Hour (ASA24®) Dietary Assessment Tool, with body energy store changes (ΔBES) measured by quantitative magnetic resonance (QMR) on days 1 and 14, mEE assessed by DLW, and mEI computed by energy balance equation (mEE + ΔBES). Participants were asked to maintain an eucaloric diet. A rEI:mEI ratio was calculated for each participant, and a group cut-off was calculated using the formula: ±1SD = √(CVrEI 2 )/d)+(CVmEI 2 ). Dietary recall entries within ±1SD of the cutoffs were categorized as plausible (PR), <1SD categorized as under-reported (UR), >1SD categorized as over-reported (OR). Spearman correlations and linear regression performed to evaluate the linear relationships for continuous variables. Results are mean±SD. Significance set at p<0.05. Results: In our cohort (n=39, age: 60.6±6.9 years, BMI: 33.1±6.4 kg/m 2 , 33.3% men), 50%, 26.3%, 23.7% of the dietary recalls were UR, PR and OR, respectively. The rEI:mEI ratio showed a significant negative correlation with body weight (ß=-0.38, p =0.02). Greater mEI predicted higher body weight (ß=26.6, p<0.01) and BMI (ß=51.4, p=0.02). In contrast, no relationships were observed between rEI and body weight (ß=9.3, p=0.09) or BMI (ß=22.5, p=0.28). However, in PR entries alone, rEI predicted greater body weight (ß=19.5, p<0.01) and BMI (ß=44.8, p=0.04). Conclusion: These preliminary results align with past studies supporting higher implausible energy intake in adults with greater body weight, based on self-reported dietary recalls. In contrast to rEI, we found a consistent and significant association between mEI and PR, with body weight and BMI. This supports the notion that higher energy requirements are needed to maintain energy balance in individuals with greater body mass. These findings support this method for identifying plausible reporting (PR) when assessing dietary intake.

Article Details

Journal Circulation
Volume / Issue Vol. 151, Issue Suppl_1
Published March 11, 2025
ISSN 0009-7322
Publisher Lippincott Williams & Wilkins

Journal Info

Circulation

Lippincott Williams & Wilkins

ISSN: 0009-7322 Health Sciences

Authors (8)

L

Leinys Santos Baez

Columbia University, Yonkers, New York, United States

M

Michele N. Ravelli

University of Wisconsin - Madison, Madison, Wisconsin, United States

D

Diana A. Diaz-Rizzolo

Columbia University, Yonkers, New York, United States

C

Collin Popp

NYU Langone Grossman School of Medicine, New York, New York, United States

B

Bin Cheng

Department of Periodontology, Hospital of Stomatology, Sun Yat-Sen University

D

Dympna Gallagher

Columbia University, Yonkers, New York, United States

D

Dale Schoeller

University Wisconsin-Madison, Madison, Wisconsin, United States

B

Blandine Laferrere

Columbia University Irving Medical Center, New York, New York, United States