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
Published Open-Access
yes
Keywords
Humans, Energy Intake, Aged, Adolescent, Adult, Female, Child, Middle Aged, Male, Child, Preschool, Aged, 80 and over, Young Adult, Self Report, Nutrition Surveys, Energy Metabolism, Diet, Body Mass Index, Water, Obesity, Epidemiology
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.
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Included in
Biochemical Phenomena, Metabolism, and Nutrition Commons, Community Health and Preventive Medicine Commons, Dietetics and Clinical Nutrition Commons, Endocrinology, Diabetes, and Metabolism Commons, Epidemiology Commons, Life Sciences Commons, Neurosciences Commons
