biostudies-literatureBajunaid RNIDDK NIH HHSShenzhen Key Laboratory of Metabolic HealthNational Science Foundation (NSF)Bureau of International Cooperation, Chinese Academy of SciencesNational Science Foundation58-71https://www.ebi.ac.uk/biostudies/studies/S-EPMC11772230biostudies-literatureUnknown6(1)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 HealNature foodPredictive equation derived from 6,497 doubly labelled water measurements enables the detection of erroneous self-reported energy intake.PMC11772230CAS 153E11KYSB20190015R01 DK080763BCS-1824466Must AHu SRavussin ECooper RKushner RFReilly JJSagayama HCamps SGJALanerolle PSjodin AMUrlacher SSMurphy-Alford AJAnderson LJDavies PSWNystrom CDKatzmarzyk PLarsson CLYamada YLessan NBlaak EEYanovski JAMorehen JCDugas LRWong WWBouten CVCKimura MAleman-Mateo HSchoeller DAPlasqui GLeonard WRMartin CKBandini LVan Etten LMSpeakman JRYoshida TBrage Svan Mil EGAHBuchowski MSReynolds RMatsiko EWesterterp KRJoonas NWilson GStamatiou MRacette SBCooper JAGoris AHHaisma HHArab LStice ERedman LMBaddou IGurven MLoechl CUOjiambo RMSamaranayakem DEaton SPietilainen KHRood JJoosen AMSardinha LBSilva AMKriengsinyos WSinha SPrentice RLLuke AHCasper RBajunaid RKraus WEGillingham MPontzer HEkelund UButte NFClose GLLiu ZDas SKRaichlen DABedu-Addo KForrester TMorton JPNiu CEntringer SRoberts SBLambert EVNicklas TAFudge BWDabare PHoffman DHoos MBLof MPitsiladis YPEl Hamdouchi AHambly CKuriyan RZhang XPlange-Rhule JNeuhouser MLMedin ACfalsePredictive equation derived from 6,497 doubly labelled water measurements enables the detection of erroneous self-reported energy intake.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 Heal2025-01-01T00:00:00Z2025 Jan2026-06-04T07:51:28.535Z2025-04-05T09:33:23.387ZS-EPMC117722303980621810.1038/s43016-024-01089-5