Predictive equation derived from 6,497 doubly labelled water measurements enables the detection of erroneous self-reported energy intake
Issued Date
2025-01-01
Resource Type
eISSN
26621355
Scopus ID
2-s2.0-85208486343
Pubmed ID
39806218
Journal Title
Nature food
Volume
6
Issue
1
Start Page
58
End Page
71
Rights Holder(s)
SCOPUS
Bibliographic Citation
Nature food Vol.6 No.1 (2025) , 58-71
Suggested Citation
Bajunaid R., Niu C., Hambly C., Liu Z., Yamada Y., Aleman-Mateo H., Anderson L.J., Arab L., Baddou I., Bandini L., Bedu-Addo K., Blaak E.E., Bouten C.V.C., Brage S., Buchowski M.S., Butte N.F., Camps S.G.J.A., Casper R., Close G.L., Cooper J.A., Cooper R., Das S.K., Davies P.S.W., Dabare P., Dugas L.R., Eaton S., Ekelund U., Entringer S., Forrester T., Fudge B.W., Gillingham M., Goris A.H., Gurven M., El Hamdouchi A., Haisma H.H., Hoffman D., Hoos M.B., Hu S., Joonas N., Joosen A.M., Katzmarzyk P., Kimura M., Kraus W.E., Kriengsinyos W., Kuriyan R., Kushner R.F., Lambert E.V., Lanerolle P., Larsson C.L., Leonard W.R., Lessan N., Löf M., Martin C.K., Matsiko E., Medin A.C., Morehen J.C., Morton J.P., Must A., Neuhouser M.L., Nicklas T.A., Nyström C.D., Ojiambo R.M., Pietiläinen K.H., Pitsiladis Y.P., Plange-Rhule J., Plasqui G., Prentice R.L., Racette S.B., Raichlen D.A., Ravussin E., Redman L.M., Reilly J.J., Reynolds R., Roberts S.B., Samaranayakem D., Sardinha L.B., Silva A.M., Sjödin A.M., Stamatiou M., Stice E., Urlacher S.S., Van Etten L.M., van Mil E.G.A.H., Wilson G., Yanovski J.A., Yoshida T., Zhang X., Murphy-Alford A.J., Sinha S., Loechl C.U., Luke A.H., Pontzer H., Rood J., Sagayama H., Schoeller D.A., Westerterp K.R., Wong W.W., Speakman J.R. Predictive equation derived from 6,497 doubly labelled water measurements enables the detection of erroneous self-reported energy intake. Nature food Vol.6 No.1 (2025) , 58-71. 71. doi:10.1038/s43016-024-01089-5 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/105317
Title
Predictive equation derived from 6,497 doubly labelled water measurements enables the detection of erroneous self-reported energy intake
Author(s)
Bajunaid R.
Niu C.
Hambly C.
Liu Z.
Yamada Y.
Aleman-Mateo H.
Anderson L.J.
Arab L.
Baddou I.
Bandini L.
Bedu-Addo K.
Blaak E.E.
Bouten C.V.C.
Brage S.
Buchowski M.S.
Butte N.F.
Camps S.G.J.A.
Casper R.
Close G.L.
Cooper J.A.
Cooper R.
Das S.K.
Davies P.S.W.
Dabare P.
Dugas L.R.
Eaton S.
Ekelund U.
Entringer S.
Forrester T.
Fudge B.W.
Gillingham M.
Goris A.H.
Gurven M.
El Hamdouchi A.
Haisma H.H.
Hoffman D.
Hoos M.B.
Hu S.
Joonas N.
Joosen A.M.
Katzmarzyk P.
Kimura M.
Kraus W.E.
Kriengsinyos W.
Kuriyan R.
Kushner R.F.
Lambert E.V.
Lanerolle P.
Larsson C.L.
Leonard W.R.
Lessan N.
Löf M.
Martin C.K.
Matsiko E.
Medin A.C.
Morehen J.C.
Morton J.P.
Must A.
Neuhouser M.L.
Nicklas T.A.
Nyström C.D.
Ojiambo R.M.
Pietiläinen K.H.
Pitsiladis Y.P.
Plange-Rhule J.
Plasqui G.
Prentice R.L.
Racette S.B.
Raichlen D.A.
Ravussin E.
Redman L.M.
Reilly J.J.
Reynolds R.
Roberts S.B.
Samaranayakem D.
Sardinha L.B.
Silva A.M.
Sjödin A.M.
Stamatiou M.
Stice E.
Urlacher S.S.
Van Etten L.M.
van Mil E.G.A.H.
Wilson G.
Yanovski J.A.
Yoshida T.
Zhang X.
Murphy-Alford A.J.
Sinha S.
Loechl C.U.
Luke A.H.
Pontzer H.
Rood J.
Sagayama H.
Schoeller D.A.
Westerterp K.R.
Wong W.W.
Speakman J.R.
Niu C.
Hambly C.
Liu Z.
Yamada Y.
Aleman-Mateo H.
Anderson L.J.
Arab L.
Baddou I.
Bandini L.
Bedu-Addo K.
Blaak E.E.
Bouten C.V.C.
Brage S.
Buchowski M.S.
Butte N.F.
Camps S.G.J.A.
Casper R.
Close G.L.
Cooper J.A.
Cooper R.
Das S.K.
Davies P.S.W.
Dabare P.
Dugas L.R.
Eaton S.
Ekelund U.
Entringer S.
Forrester T.
Fudge B.W.
Gillingham M.
Goris A.H.
Gurven M.
El Hamdouchi A.
Haisma H.H.
Hoffman D.
Hoos M.B.
Hu S.
Joonas N.
Joosen A.M.
Katzmarzyk P.
Kimura M.
Kraus W.E.
Kriengsinyos W.
Kuriyan R.
Kushner R.F.
Lambert E.V.
Lanerolle P.
Larsson C.L.
Leonard W.R.
Lessan N.
Löf M.
Martin C.K.
Matsiko E.
Medin A.C.
Morehen J.C.
Morton J.P.
Must A.
Neuhouser M.L.
Nicklas T.A.
Nyström C.D.
Ojiambo R.M.
Pietiläinen K.H.
Pitsiladis Y.P.
Plange-Rhule J.
Plasqui G.
Prentice R.L.
Racette S.B.
Raichlen D.A.
Ravussin E.
Redman L.M.
Reilly J.J.
Reynolds R.
Roberts S.B.
Samaranayakem D.
Sardinha L.B.
Silva A.M.
Sjödin A.M.
Stamatiou M.
Stice E.
Urlacher S.S.
Van Etten L.M.
van Mil E.G.A.H.
Wilson G.
Yanovski J.A.
Yoshida T.
Zhang X.
Murphy-Alford A.J.
Sinha S.
Loechl C.U.
Luke A.H.
Pontzer H.
Rood J.
Sagayama H.
Schoeller D.A.
Westerterp K.R.
Wong W.W.
Speakman J.R.
Author's Affiliation
Kyoto University of Advanced Science
Centre for Children's Health Research
Graduate School of Medicine
Department of Nutritional Sciences
University of Global Health Equity
General Sir John Kotelawala Defence University
Jean Mayer USDA Human Nutrition Research Center on Aging
Shenzhen Institute of Advanced Technology
Canadian Institute for Advanced Research
Universitetet i Agder
University of Rwanda
Kwame Nkrumah University of Science & Technology
The University of the West Indies
University of Colombo Faculty of Medicine
Faculdade de Motricidade Humana, Universidade de Lisboa
Moi University
Stanford University School of Medicine
University of Wisconsin-Madison
Københavns Universitet
Vanderbilt University Medical Center
Freie Universität Berlin
University of Southern California
University of California, Santa Barbara
Liverpool John Moores University
University of Strathclyde
St. John's National Academy Of Health Sciences India
Pennington Biomedical Research Center
University of Birmingham
Universiteit Maastricht
Centro de Investigacion en Alimentacion y Desarrollo
National Institute of Child Health and Human Development (NICHD)
Helsinki University Hospital
Oregon Health & Science University
Göteborgs Universitet
University of Aberdeen
Arizona State University Downtown Phoenix Campus
Tufts University School of Medicine
University of Washington
Imperial College London
Institute of Genetics and Developmental Biology Chinese Academy of Sciences
University of Tsukuba
Northwestern University Feinberg School of Medicine
Mahidol University
Stanford University
UCL Great Ormond Street Institute of Child Health
Karolinska Institutet
Baylor University
University of Edinburgh, College of Medicine and Veterinary Medicine
Faculty of Health Sciences, University of Cape Town
National Institute of Health and Nutrition
Universitetet i Oslo
Rijksuniversiteit Groningen
MRC Epidemiology Unit
Linköpings Universitet
China Medical University Shenyang
Duke University
Tohoku University
USDA ARS Children's Nutrition Research Center
UCI School of Medicine
University of Brighton
Maastricht Universitair Medisch Centrum+
Northwestern University
Geisel School of Medicine at Dartmouth
David Geffen School of Medicine at UCLA
Duke University School of Medicine
King Abdulaziz University
Norges Idrettshøgskole
Loyola University Chicago
University of Glasgow
University of Massachusetts Chan Medical School
University of Cape Town
International Atomc Energy Agency
Regional Designated Center of Nutrition Associated with AFRA/IAEA
Candos
Imec
Centre for Children's Health Research
Graduate School of Medicine
Department of Nutritional Sciences
University of Global Health Equity
General Sir John Kotelawala Defence University
Jean Mayer USDA Human Nutrition Research Center on Aging
Shenzhen Institute of Advanced Technology
Canadian Institute for Advanced Research
Universitetet i Agder
University of Rwanda
Kwame Nkrumah University of Science & Technology
The University of the West Indies
University of Colombo Faculty of Medicine
Faculdade de Motricidade Humana, Universidade de Lisboa
Moi University
Stanford University School of Medicine
University of Wisconsin-Madison
Københavns Universitet
Vanderbilt University Medical Center
Freie Universität Berlin
University of Southern California
University of California, Santa Barbara
Liverpool John Moores University
University of Strathclyde
St. John's National Academy Of Health Sciences India
Pennington Biomedical Research Center
University of Birmingham
Universiteit Maastricht
Centro de Investigacion en Alimentacion y Desarrollo
National Institute of Child Health and Human Development (NICHD)
Helsinki University Hospital
Oregon Health & Science University
Göteborgs Universitet
University of Aberdeen
Arizona State University Downtown Phoenix Campus
Tufts University School of Medicine
University of Washington
Imperial College London
Institute of Genetics and Developmental Biology Chinese Academy of Sciences
University of Tsukuba
Northwestern University Feinberg School of Medicine
Mahidol University
Stanford University
UCL Great Ormond Street Institute of Child Health
Karolinska Institutet
Baylor University
University of Edinburgh, College of Medicine and Veterinary Medicine
Faculty of Health Sciences, University of Cape Town
National Institute of Health and Nutrition
Universitetet i Oslo
Rijksuniversiteit Groningen
MRC Epidemiology Unit
Linköpings Universitet
China Medical University Shenyang
Duke University
Tohoku University
USDA ARS Children's Nutrition Research Center
UCI School of Medicine
University of Brighton
Maastricht Universitair Medisch Centrum+
Northwestern University
Geisel School of Medicine at Dartmouth
David Geffen School of Medicine at UCLA
Duke University School of Medicine
King Abdulaziz University
Norges Idrettshøgskole
Loyola University Chicago
University of Glasgow
University of Massachusetts Chan Medical School
University of Cape Town
International Atomc Energy Agency
Regional Designated Center of Nutrition Associated with AFRA/IAEA
Candos
Imec
Corresponding Author(s)
Other Contributor(s)
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.