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. 2025 Jan;6(1):58-71.
doi: 10.1038/s43016-024-01089-5. Epub 2025 Jan 13.

Predictive equation derived from 6,497 doubly labelled water measurements enables the detection of erroneous self-reported energy intake

Rania Bajunaid #  1   2 Chaoqun Niu #  3   4 Catherine Hambly #  1 Zongfang Liu #  3 Yosuke Yamada  5   6 Heliodoro Aleman-Mateo  7 Liam J Anderson  8 Lenore Arab  9 Issad Baddou  10 Linda Bandini  11 Kweku Bedu-Addo  12 Ellen E Blaak  13 Carlijn V C Bouten  13 Soren Brage  14 Maciej S Buchowski  15 Nancy F Butte  16 Stefan G J A Camps  13 Regina Casper  17 Graeme L Close  18 Jamie A Cooper  19 Richard Cooper  20 Sai Krupa Das  21 Peter S W Davies  22 Prasangi Dabare  23 Lara R Dugas  20   24 Simon Eaton  25 Ulf Ekelund  26 Sonja Entringer  27   28 Terrence Forrester  29 Barry W Fudge  30 Melanie Gillingham  31 Annelies H Goris  32 Michael Gurven  33 Asmaa El Hamdouchi  10 Hinke H Haisma  34 Daniel Hoffman  35 Marije B Hoos  13 Sumei Hu  3 Noorjehan Joonas  36 Annemiek M Joosen  13 Peter Katzmarzyk  37 Misaka Kimura  38 William E Kraus  39 Wantanee Kriengsinyos  40 Rebecca Kuriyan  41 Robert F Kushner  42 Estelle V Lambert  43 Pulani Lanerolle  44 Christel L Larsson  45 William R Leonard  46 Nader Lessan  47   48 Marie Löf  49   50 Corby K Martin  37 Eric Matsiko  51 Anine C Medin  52   53 James C Morehen  18 James P Morton  18 Aviva Must  54 Marian L Neuhouser  55 Theresa A Nicklas  16 Christine D Nyström  50 Robert M Ojiambo  56   57 Kirsi H Pietiläinen  58 Yannis P Pitsiladis  59 Jacob Plange-Rhule  12 Guy Plasqui  60 Ross L Prentice  55 Susan B Racette  61 David A Raichlen  62 Eric Ravussin  37 Leanne M Redman  37 John J Reilly  63 Rebecca Reynolds  64 Susan B Roberts  65 Dulani Samaranayakem  66 Luis B Sardinha  67 Analiza M Silva  67 Anders M Sjödin  68 Marina Stamatiou  1 Eric Stice  69 Samuel S Urlacher  70   71 Ludo M Van Etten  13 Edgar G A H van Mil  72 George Wilson  18 Jack A Yanovski  73 Tsukasa Yoshida  38   74 Xueying Zhang  1   3 Alexia J Murphy-Alford  75 Srishti Sinha  75 Cornelia U Loechl  75 Amy H Luke  76 Herman Pontzer  77   78 Jennifer Rood  79 Hiroyuki Sagayama  80 Dale A Schoeller  81 Klaas R Westerterp  82 William W Wong  83 John R Speakman #  84   85   86   87
Affiliations

Predictive equation derived from 6,497 doubly labelled water measurements enables the detection of erroneous self-reported energy intake

Rania Bajunaid et al. Nat Food. 2025 Jan.

Erratum in

  • Author Correction: Predictive equation derived from 6,497 doubly labelled water measurements enables the detection of erroneous self-reported energy intake.
    Bajunaid R, Niu C, Hambly C, Liu Z, Yamada Y, Aleman-Mateo H, Anderson LJ, Arab L, Baddou I, Bandini L, Bedu-Addo K, Blaak EE, Bouten CVC, Brage S, Buchowski MS, Butte NF, Camps SGJA, Casper R, Close GL, Cooper JA, Cooper R, Das SK, Davies PSW, Dabare P, Dugas LR, Eaton S, Ekelund U, Entringer S, Forrester T, Fudge BW, Gillingham M, Goris AH, Gurven M, El Hamdouchi A, Haisma HH, Hoffman D, Hoos MB, Hu S, Joonas N, Joosen AM, Katzmarzyk P, Kimura M, Kraus WE, Kriengsinyos W, Kuriyan R, Kushner RF, Lambert EV, Lanerolle P, Larsson CL, Leonard WR, Lessan N, Löf M, Martin CK, Matsiko E, Medin AC, Morehen JC, Morton JP, Must A, Neuhouser ML, Nicklas TA, Nyström CD, Ojiambo RM, Pietiläinen KH, Pitsiladis YP, Plange-Rhule J, Plasqui G, Prentice RL, Racette SB, Raichlen DA, Ravussin E, Redman LM, Reilly JJ, Reynolds R, Roberts SB, Samaranayakem D, Sardinha LB, Silva AM, Sjödin AM, Stamatiou M, Stice E, Urlacher SS, Van Etten LM, van Mil EGAH, Wilson G, Yanovski JA, Yoshida T, Zhang X, Murphy-Alford AJ, Sinha S, Loechl CU, Luke AH, Pontzer H, Rood J, Sagayama H, Schoeller DA, Westerterp KR, Wong WW, Speakman JR. Bajunaid R, et al. Nat Food. 2025 May;6(5):523-524. doi: 10.1038/s43016-025-01175-2. Nat Food. 2025. PMID: 40269324 Free PMC article. No abstract available.

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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Conflict of interest statement

Competing interests: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1. Misreporting in relation to age, BMI and sex.
a, Comparison of the difference between predicted TEE and self-reported energy intake (EI) in the NDNS (n = 12,694) and NHANES (n = 5,873) datasets in relation to age for children (≤16 yr) and adults (>16 yr). b, Comparison of the difference between predicted TEE and self-reported energy intake in the same datasets in relation to BMI for children (≤16 yr) and adults (>16 yr). Negative values show observations lower than prediction and positive values show prediction higher than observation.
Fig. 2
Fig. 2. Misreporting and macronutrient intake.
ac, The discrepancy between the predicted TEE and the reported energy intake in the NHANES and NDNS surveys plotted against the self-reported intakes of fat (a), protein (b) and carbohydrates (c) as a percentage of the total energy. For each macronutrient, the top two plots show data from the whole sample (full data) and the bottom two plots show the data from the sample screened to include only those individuals within the predictive interval of the equation (screened). Significant effects in the whole sample were severely attenuated in the screened sample (see Table 3 for regression details).
Fig. 3
Fig. 3. Relationships between the reported dietary intakes of macronutrients and BMI.
af, Relationships between BMI and the intakes of fat (a,b), protein (c,d) and carbohydrate (e,f) for the NHANES and NDNS surveys. Panels a, c and e show the data for the whole sample and panels b, d and f show the data for those individuals whose total energy intake was within the predictive interval (that is, excluding under- and over-reporters).

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