Cited by 19Obesity, Physical Activity, DietRegulation of Appetite and ObesityBody Composition Measurement Techniques

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Total energy expenditure is repeatable in adults but not associated with short-term changes in body composition

Open access
Rimbach, Rebecca, Yamada, Yosuke, Sagayama, Hiroyuki, Ainslie, Philip N., Anderson, Lene F., Anderson, Liam J., Arab, Lenore, Baddou, Issaad, Bedu-Addo, Kweku, Blaak, Ellen E., Blanc, Stephane, Bonomi, Alberto G., Bouten, Carlijn V. C., Bovet, Pascal, Buchowski, Maciej S., Butte, Nancy F., Camps, Stefan G. J. A., Close, Graeme L., Cooper, Jamie A., Das, Sai Krupa, Dugas, Lara R., Ekelund, Ulf, Entringer, Sonja, Forrester, Terrence, Fudge, Barry W., Goris, Annelies H., Gurven, Michael, Hambly, Catherine, El Hamdouchi, Asmaa, Hoos, Marije B., Hu, Sumei, Joonas, Noorjehan, Joosen, Annemiek M., Katzmarzyk, Peter, Kempen, Kitty P., Kimura, Misaka, Kraus, William E., Kushner, Robert F., Lambert, Estelle V., Leonard, William R., Lessan, Nader, Martin, Corby K., Medin, Anine C., Meijer, Erwin P., Morehen, James C., Morton, James P., Neuhouser, Marian L., Nicklas, Theresa A., Ojiambo, Robert M., Pietiläinen, Kirsi H., Pitsiladis, Yannis P., Plange-Rhule, Jacob, Plasqui, Guy, Prentice, Ross L., Rabinovich, Roberto A., Racette, Susan B., Raichlen, David A., Ravussin, Eric, Reynolds, Rebecca M., Roberts, Susan B., Schuit, Albertine J., Sjödin, Anders M., Stice, Eric, Urlacher, Samuel S., Valenti, Giulio, Van Etten, Ludo M., Van Mil, Edgar A., Wells, Jonathan C. K., Wilson, George, Wood, Brian M., Yanovski, Jack, Yoshida, Tsukasa, Zhang, Xueying, Murphy-Alford, Alexia J., Loechl, Cornelia U., Luke, Amy H., Rood, Jennifer, Schoeller, Dale A., Westerterp, Klaas R., Wong, William W., Speakman, John R., Pontzer, Herman, The IAEA DLW Database Consortium, Speakman, John R.·2022·Nature Communications

Abstract

Low total energy expenditure (TEE, MJ/d) has been a hypothesized risk factor for weight gain, but repeatability of TEE, a critical variable in longitudinal studies of energy balance, is understudied. We examine repeated doubly labeled water (DLW) measurements of TEE in 348 adults and 47 children from the IAEA DLW Database (mean ± SD time interval: 1.9 ± 2.9 y) to assess repeatability of TEE, and to examine if TEE adjusted for age, sex, fat-free mass, and fat mass is associated with changes in weight or body composition. Here, we report that repeatability of TEE is high for adults, but not children. Bivariate Bayesian mixed models show no among or within-individual correlation between body composition (fat mass or percentage) and unadjusted TEE in adults. For adults aged 20–60 y (N = 267; time interval: 7.4 ± 12.2 weeks), increases in adjusted TEE are associated with weight gain but not with changes in body composition; results are similar for subjects with intervals >4 weeks (N = 53; 29.1 ± 12.8 weeks). This suggests low TEE is not a risk factor for, and high TEE is not protective against, weight or body fat gain over the time intervals tested.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41467-021-27246-z

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Some research studies have called into question the role of sedentary lifestyle as a cause of obesity in modern societies.

    “However, some research studies have called into question the role of sedentary lifestyle as a cause of obesity in modern societies.59”

    From Definition and diagnostic criteria of clinical obesity (2025) · cites this paper as [59]

    The Discussion reports no evidence that adults with lower adjusted total energy expenditure were more likely to gain body fat, which lends some support to questioning an expenditure-based explanation of weight gain. But it also says the study lacked objective physical-activity measures. It therefore does not directly test whether a sedentary lifestyle causes obesity in modern societies. (LLM, conf=0.86)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 49

  1. Abdelaal, M., le Roux, C. W. & Docherty, N. G. Morbidity and mortality associated with obesity. Ann. Transl. Med. 5, 161 (2017). · DOI · Paper page
  2. Ravussin, E. et al. Reduced rate of energy expenditure as a risk factor for body-weigh gain. New Engl. J. Med. 318, 467–472 (1988). · DOI · Paper page
  3. Roberts, S. B., Savage, J., Coward, W., Chew, B. & Lucas, A. Energy expenditure and intake in infants born to lean and overweight mothers. New Engl. J. Med. 318, 461–466 (1988). · DOI
  4. Prentice, A. M. et al. High levels of energy expenditure in obese women. Br. Med. J. 292, 983–987 (1986). · DOI
  5. DeLany, J. P., Bray, G. A., Harsha, D. W. & Volaufova, J. Energy expenditure and substrate oxidation predict changes in body fat in children. Am. J. Clin. Nutr. 84, 862–870 (2006). · DOI
  6. Treuth, M. S., Butte, N. F. & Sorkin, J. D. Predictors of body fat gain in nonobese girls with a familial predisposition to obesity. Am. J. Clin. Nutr. 78, 1212–1218 (2003). · DOI
  7. Piaggi, P., Thearle, M. S., Bogardus, C. & Krakoff, J. Lower energy expenditure predicts long-term increases in weight and fat mass. J. Clin. Endocrinol. Metab. 98, 703–707 (2013). · DOI
  8. Stunkard, A. J., Berkowitz, R. I., Stallings, V. A. & Schoeller, D. A. Energy intake, not energy output, is a determinant of body size in infants. Am. J. Clin. Nutr. 69, 524–530 (1999). · DOI
  9. Goran, M. I. et al. Longitudinal changes in fatness in white children: no effect of childhood energy expenditure. Am. J. Clin. Nutr. 67, 309–316 (1998). · DOI
  10. Zinkel, S. R. J. et al. High energy expenditure is not protective against increased adiposity in children. Pediatr. Obes. 11, 528–534 (2016). · DOI
  11. Johnson, M. S. et al. Aerobic fitness, not energy expenditure, influences subsequent increase in adiposity in black and white children. Pediatrics 106, e50 (2000). · DOI
  12. Luke, A. et al. Energy expenditure does not predict weight change in either Nigerian or African American women. Am. J. Clin. Nutr. 89, 169–176 (2009). · DOI
  13. Ekelund, U. et al. Physical activity energy expenditure predicts changes in body composition in middle-aged healthy whites: effect modification by age. Am. J. Clin. Nutr. 81, 964–969 (2005). · DOI
  14. Stenholm, S. et al. Patterns of weight gain in middle-aged and older US adults, 1992–2010. Epidemiology 26, 165–168 (2015). · DOI
  15. Rumpler, W. V., Seale, J. L., Conway, J. M. & Moe, P. W. Repeatability of 24-h energy expenditure measurements in humans by indirect calorimetry. Am. J. Clin. Nutr. 51, 147–152 (1990). · DOI
  16. Versteegh, M. A., Helm, B., Dingemanse, N. J. & Tieleman, B. I. Repeatability and individual correlates of basal metabolic rate and total evaporative water loss in birds: a case study in European stonechats. Comp. Biochem. Physiol. A 150, 452–457 (2008). · DOI
  17. Duarte, L. C., Vaanholt, L. M., Sinclair, R. E., Gamo, Y. & Speakman, J. R. Limits to sustained energy intake XII: is the poor relation between resting metabolic rate and reproductive performance because resting metabolism is not a repeatable trait? J. Exp. Biol. 213, 278–287 (2010). · DOI
  18. Labocha, M. K., Sadowska, E. T., Baliga, K., Semer, A. K. & Koteja, P. Individual variation and repeatability of basal metabolism in the bank vole, Clethrionomys glareolus. Proc. R. Soc. B Biol. Sci. 271, 367–372 (2004). · DOI
  19. Hayes, J. P., Bible, C. A. & Boone, J. D. Repeatability of mammalian physiology: evaporative water loss and oxygen consumption of Dipodomys merriami. J. Mammal. 79, 475–485 (1998). · DOI
  20. White, C. R., Schimpf, N. G. & Cassey, P. The repeatability of metabolic rate declines with time. J. Exp. Biol. 216, 1763–1765 (2013). · DOI
  21. Auer, S. K., Bassar, R. D., Salin, K. & Metcalfe, N. B. Repeatability of metabolic rate is lower for animals living under field versus laboratory conditions. J. Exp. Biol. 219, 631–634 (2016).
  22. Larivée, M. L., Boutin, S., Speakman, J. R., McAdam, A. G. & Humphries, M. M. Associations between over-winter survival and resting metabolic rate in juvenile North American red squirrels. Funct. Ecol. 24, 597–607 (2010). · DOI
  23. Goran, M. I., Poehlman, E. T. & Danforth, E. Experimental reliability of the doubly labeled water technique. Am. J. Physiol. 266, E510–E515 (1994).
  24. Wong, W. W. et al. The doubly labeled water method produces highly reproducible longitudinal results in nutrition studies. J. Nutr. 144, 777–783 (2014). · DOI
  25. Speakman, J. R. et al. The international atomic energy agency international doubly labelled water database: aims, scope and procedures. Ann. Nutr. Metab. 75, 114–118 (2019). · DOI · Paper page
  26. Wilson, A. J. How should we interpret estimates of individual repeatability? Evol. Lett. 2, 4–8 (2018). · DOI
  27. Stoffel, M. A., Nakagawa, S. & Schielzeth, H. rptR: repeatability estimation and variance decomposition by generalized linear mixed-effects models. Methods Ecol. Evol. 8, 1639–1644 (2017). · DOI
  28. Lessells, C. M. & Boag, P. T. Unrepeatable repeatabilities: a common mistake. Auk 104, 116–121 (987). · DOI
  29. Dingemanse, N. J. & Dochtermann, N. A. Quantifying individual variation in behaviour: mixed-effect modelling approaches. J. Anim. Ecol. 82, 39–54 (2013). · DOI
  30. Careau, V., Hoye, B. J., O’Dwyer, T. W. & Buttemer, W. A. Among- and within-individual correlations between basal and maximal metabolic rates in birds. J. Exp. Biol. 217, 3593–3596 (2014).
  31. Jäger, J., Schradin, C., Pillay, N. & Rimbach, R. Active and explorative individuals are often restless and excluded from studies measuring resting metabolic rate: do alternative metabolic rate measures offer a solution? Physiol. Behav. 174, 57–66 (2017). · DOI
  32. Szafrańska, P. A., Zub, K. & Konarzewski, M. Long-term repeatability of body mass and resting metabolic rate in free-living weasels, Mustela nivalis. Funct. Ecol. 21, 731–737 (2007). · DOI
  33. Boake, C. R. Repeatability — its role in evolutionary studies of mating-behavior. Evol. Ecol. 3, 173–182 (1989). · DOI
  34. Dohm, M. R. Repeatability estimates do not always set an upper limit to heritability. Funct. Ecol. 16, 273–280 (2002). · DOI
  35. Goran, M. I. Genetic influences on human energy expenditure and substrate utilization. Behav. Genet. 27, 389–399 (1997). · DOI
  36. Pontzer, H. Constrained total energy expenditure and the evolutionary biology of energy balance. Exerc. Sport Sci. Rev. 43, 110–116 (2015). · DOI
  37. Pontzer, H. Energy constraint as a novel mechanism linking exercise and health. Physiology 33, 384–393 (2018). · DOI
  38. Hall, K. et al. Quantification of the effect of energy imbalance on bodyweight. Lancet 378, 826–837 (2011). · DOI · Paper page
  39. Pontzer, H. et al. Constrained total energy expenditure and metabolic adaptation to physical activity in adult humans. Curr. Biol. 26, 410–417 (2016). · DOI · Paper page
  40. Briga, M. & Verhulst, S. Individual variation in metabolic reaction norms over ambient temperature causes low correlation between basal and standard metabolic rate. J. Exp. Biol. 220, 3280–3289 (2017).
  41. Réveillon, T., Rota, T., Chauvet, É., Lecerf, A. & Sentis, A. Repeatable inter-individual variation in the thermal sensitivity of metabolic rate. Oikos 128, 1633–1640 (2019). · DOI
  42. Manini, T. M. Energy expenditure and aging. Ageing Res. Rev. 9, 1–11 (2010). · DOI · Paper page
  43. Speakman, J. R. & Westerterp, K. R. Association between energy demands, physical activity, and body composition in adult humans between 19 and 96 y of age. Am. J. Clin. Nutr. 92, 826–834 (2010). · DOI · Paper page
  44. Hadfield, J. D. MCMC methods for multi-response generalized linear mixed models: the MCMCglmm R package. J. Stat. Softw. 33, 1–22 (2010). · DOI
  45. Goran, M. I., Carpenter, W. H. & Poehlman, E. T. Total energy expenditure in 4- to 6-yr-old children. Am. J. Physiol. 264, E706–E711 (1993).
  46. Pontzer, H. et al. Metabolic acceleration and the evolution of human brain size and life history. Nature 533, 390–392 (2016). · DOI
  47. Smith, E. P. Methods of multivariate analysis. J. Stat. Plan. Inference 59, 183–184 (1997). · DOI
  48. Plummer, M., Best, N., Cowles, K. & Vines, K. CODA: convergence diagnosis and output analysis for MCMC. R. News 6, 7–11 (2006).
  49. Bhutani, S., Kahn, E., Tasali, E. & Schoeller, D. A. Composition of two-week change in body weight under unrestricted free-living conditions. Physiol. Rep. 15, e13336 (2017). · DOI

Cited by

Sorted by citations

Metadata

Authors
Rimbach, R., Yamada, Y., Sagayama, H., Ainslie, P. N., Anderson, L. F., Anderson, L. J., Arab, L., Baddou, I., Bedu-Addo, K., Blaak, E. E., Blanc, S., Bonomi, A. G., Bouten, C. V. C., Bovet, P., Buchowski, M. S., Butte, N. F., Camps, S. G. J. A., Close, G. L., Cooper, J. A., Das, S. K., Dugas, L. R., Ekelund, U., Entringer, S., Forrester, T., Fudge, B. W., Goris, A. H., Gurven, M., Hambly, C., El Hamdouchi, A., Hoos, M. B., Hu, S., Joonas, N., Joosen, A. M., Katzmarzyk, P., Kempen, K. P., Kimura, M., Kraus, W. E., Kushner, R. F., Lambert, E. V., Leonard, W. R., Lessan, N., Martin, C. K., Medin, A. C., Meijer, E. P., Morehen, J. C., Morton, J. P., Neuhouser, M. L., Nicklas, T. A., Ojiambo, R. M., Pietiläinen, K. H., Pitsiladis, Y. P., Plange-Rhule, J., Plasqui, G., Prentice, R. L., Rabinovich, R. A., Racette, S. B., Raichlen, D. A., Ravussin, E., Reynolds, R. M., Roberts, S. B., Schuit, A. J., Sjödin, A. M., Stice, E., Urlacher, S. S., Valenti, G., Van Etten, L. M., Van Mil, E. A., Wells, J. C. K., Wilson, G., Wood, B. M., Yanovski, J., Yoshida, T., Zhang, X., Murphy-Alford, A. J., Loechl, C. U., Luke, A. H., Rood, J., Schoeller, D. A., Westerterp, K. R., Wong, W. W., Speakman, J. R., Pontzer, H., The IAEA DLW Database Consortium, & Speakman, J. R.
Affiliations
  • Duke University (US)
  • National Institute of Health and Nutrition (JP)
  • University of Tsukuba (JP)
  • Liverpool John Moores University (GB)
  • University of Oslo (NO)
  • University of California, Los Angeles (US)
  • Kwame Nkrumah University of Science and Technology (GH)
  • Maastricht University (NL)
  • Eindhoven University of Technology (NL)
  • Centre Hospitalier Universitaire Vaudois (CH)
  • Vanderbilt University (US)
  • Baylor College of Medicine (US)
  • University of Wisconsin–Madison (US)
  • Tufts University (US)
  • Loyola University Chicago (US)
  • Norwegian School of Sport Sciences (NO)
  • University of California, Irvine (US)
  • University of the West Indies System (JM)
  • University of Glasgow (GB)
  • University of California, Santa Barbara (US)
  • University of Aberdeen (GB)
  • Chinese Academy of Sciences (CN)
  • Pennington Biomedical Research Center (US)
  • Northwestern University (US)
  • University of Cape Town (ZA)
  • Imperial College London Diabetes Centre (AE)
  • The Football Association (GB)
  • University of Washington (US)
  • Moi University (KE)
  • Helsinki University Hospital (FI)
  • University of Brighton (GB)
  • University of Edinburgh (GB)
  • Washington University in St. Louis (US)
  • University of Southern California (US)
  • The Queen's Medical Research Institute (GB)
  • Tilburg University (NL)
  • University of Copenhagen (DK)
  • Stanford University (US)
  • Baylor University (US)
  • University College London (GB)
  • National Institutes of Health (US)
  • International Atomic Energy Agency (AT)
Corresponding author
  • Rimbach, Rebecca
  • Yamada, Yosuke
  • Sagayama, Hiroyuki
  • Luke, Amy H.
  • Rood, Jennifer
  • Schoeller, Dale A.
  • Westerterp, Klaas R.
  • Wong, William W.
  • Pontzer, Herman
Venue
Nature Communications
Published
2022-01-10
Volume
13
Issue
1
Pages
99-99
ISSN
2041-1723 (ISSN-L)
OpenAlex
W4206840255
Cited by
19
References
3
Citations by year
2026: 1 · 2025: 5 · 2024: 3 · 2023: 10
FWCI
3.97
Type
journal article
Language
en
Open access
Locations
  • Nature Communications (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Research Publications (Maastricht University) (publishedVersion, cc-by)
  • Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, cc-by)
  • University of Brighton Repository (University of Brighton) (publishedVersion, cc-by)
  • Liverpool John Moores University (acceptedVersion)
  • IRIS (submittedVersion, cc-by)
  • TU/e Research Portal (submittedVersion, other-oa)
  • Digital Commons-TMC (Texas Medical Center) (submittedVersion)
  • Digital Commons@Becker (Washington University School of Medicine) (submittedVersion)
  • Civil War Book Review (submittedVersion)
  • Research portal (Tilburg University) (submittedVersion, cc-by)
  • Data Archiving and Networked Services (DANS) (submittedVersion, cc-by)
  • HAL (submittedVersion, other-oa)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Aberdeen University Research Archive (Aberdeen University) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • UCL Discovery (University College London) (submittedVersion)
  • eScholarship (California Digital Library) (submittedVersion, cc-by)
  • Työväentutkimus Vuosikirja (submittedVersion)
  • NORA - Norwegian Open Research Archives (submittedVersion, other-oa)
  • University of Birmingham Research Portal (University of Birmingham) (submittedVersion)
  • SERVAL (Université de Lausanne) (submittedVersion, cc-by)
  • NORA - Norwegian Open Research Archives (submittedVersion, cc-by)
  • Research Publications (Maastricht University) (submittedVersion, other-oa)
Funders
National Science Foundation (BCS-1824466)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
  • Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Regulation of Appetite and Obesity
  • Health Sciences › Medicine › Physiology (medical) › Body Composition Measurement Techniques
Keywords
total energy expenditure, repeatability, doubly labeled water, body composition, fat mass, weight gain, energy balance, children, adults, fat-free mass, Bayesian mixed models
MeSH terms
Adipose Tissue, Adult, Bayes Theorem, Body Composition, Child, Energy Metabolism, Female, Humans, Isotope Labeling, Longitudinal Studies, Male, Middle Aged, Water, Weight Gain, Databases, Factual

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review