Bajunaid, Rania;
Niu, Chaoqun;
Hambly, Catherine;
Liu, Zongfang;
Yamada, Yosuke;
Aleman-Mateo, Heliodoro;
Anderson, Liam J;
... Speakman, John R; + view all
(2025)
Predictive equation derived from 6,497 doubly labelled water measurements enables the detection of erroneous self-reported energy intake.
Nature Food
, 6
(1)
pp. 58-71.
10.1038/s43016-024-01089-5.
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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.
| Type: | Article |
|---|---|
| Title: | Predictive equation derived from 6,497 doubly labelled water measurements enables the detection of erroneous self-reported energy intake |
| Location: | England |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1038/s43016-024-01089-5 |
| Publisher version: | https://doi.org/10.1038/s43016-024-01089-5 |
| Language: | English |
| Additional information: | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons. org/licenses/by/4.0/. |
| Keywords: | Science & Technology, Life Sciences & Biomedicine, Food Science & Technology, HABITUAL FOOD-INTAKE, DIETARY DATA, METABOLIC-RATE, LIFE-STYLE, EXPENDITURE, NUTRITION, OBESE, QUESTIONNAIRES, VALIDATION, AMERICA |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Developmental Biology and Cancer Dept |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10207457 |
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