Language

English

Publication Date

1-1-2025

Journal

Nature Food

DOI

10.1038/s43016-024-01089-5

PMID

39806218

PMCID

PMC11772230

PubMedCentral® Posted Date

1-13-2025

PubMedCentral® Full Text Version

Post-print

Abstract

Nutritional epidemiology aims to link dietary exposures to chronic disease, but the instruments for evaluating dietary intake are inaccurate. One way to identify unreliable data and the sources of errors is to compare estimated intakes with the total energy expenditure (TEE). In this study, we used the International Atomic Energy Agency Doubly Labeled Water Database to derive a predictive equation for TEE using 6,497 measures of TEE in individuals aged 4 to 96 years. The resultant regression equation predicts expected TEE from easily acquired variables, such as body weight, age and sex, with 95% predictive limits that can be used to screen for misreporting by participants in dietary studies. We applied the equation to two large datasets (National Diet and Nutrition Survey and National Health and Nutrition Examination Survey) and found that the level of misreporting was >50%. The macronutrient composition from dietary reports in these studies was systematically biased as the level of misreporting increased, leading to potentially spurious associations between diet components and body mass index.

Keywords

Humans, Male, Middle Aged, Female, Energy Intake, Adult, Aged, Nutrition Surveys, Child, Adolescent, Self Report, Young Adult, Child, Preschool, Aged, 80 and over, Energy Metabolism, Body Mass Index, Water, Obesity, Epidemiology

Comments

This article has been corrected. See Nat Food. 2025 Apr 23;6(5):523.

Published Open-Access

yes

Download

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.