The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
The Dynamics of Human Body Weight Change
Open accessAbstract
An imbalance between energy intake and energy expenditure will lead to a change in body weight (mass) and body composition (fat and lean masses). A quantitative understanding of the processes involved, which currently remains lacking, will be useful in determining the etiology and treatment of obesity and other conditions resulting from prolonged energy imbalance. Here, we show that a mathematical model of the macronutrient flux balances can capture the long-term dynamics of human weight change; all previous models are special cases of this model. We show that the generic dynamic behavior of body composition for a clamped diet can be divided into two classes. In the first class, the body composition and mass are determined uniquely. In the second class, the body composition can exist at an infinite number of possible states. Surprisingly, perturbations of dietary energy intake or energy expenditure can give identical responses in both model classes, and existing data are insufficient to distinguish between these two possibilities. Nevertheless, this distinction has important implications for the efficacy of clinical interventions that alter body composition and mass.
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.
Integrity signals
Registry
Cites
Statistics
Figures



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.
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?
In the citing paper
“The integrated systems by which the brain and body communicate to regulate body weight may indicate single or multiple set-points for weight that may be difficult to adjust 12,19–21.”
From Cellular bioenergetics as a target for obesity therapy (2010) · cites this paper as [21]
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
Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields
Guckenheimer, J., & Holmes, P. (1983) · Applied Mathematical Sciences · doi:10.1007/978-1-4612-1140-2 · Cited by 16,144
Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, and Engineering
Strogatz, S. H., Friedman, M. J., Mallinckrodt, A. J., & McKay, S. R. (1994) · Computers in Physics · doi:10.1063/1.4823332 · Cited by 4,654
Strogatz, S. H. (1998) · doi:10.1142/3481 · Cited by 4,542
Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry and Engineering
Strogatz, S. H., & Fox, R. F. (1995) · Physics Today · doi:10.1063/1.2807947 · Cited by 2,584
Obesity and the Environment: Where Do We Go from Here?
Hill, J. O., Wyatt, H. R., Reed, G. W., & Peters, J. C. (2003) · Science · doi:10.1126/science.1079857 · Cited by 2,180
THE BIOLOGY OF HUMAN STARVATION
Keys, A., BROŽEK, J., & Henschel, A. (1951) · The Medical Journal of Australia · doi:10.5694/j.1326-5377.1951.tb56499.x · Cited by 2,135
The Biology of Human Starvation: Volume I
KEYS, A., BROŽEK, J., HENSCHEL, A., MICKELSEN, O., & TAYLOR, H. L. (1950) · doi:10.5749/j.ctv9b2tqv · Cited by 2,039
Changes in Energy Expenditure Resulting from Altered Body Weight
Leibel, R. L., Rosenbaum, M., & Hirsch, J. (1995) · New England Journal of Medicine · doi:10.1056/nejm199503093321001 · Cited by 2,012
Report of the task group on reference man
(1979) · Annals of the ICRP · doi:10.1016/0146-6453(79)90123-4 · Cited by 1,715
Nonlinear oscillations, dynamical systems, and bifurcations of vector fields
Cowan, J. D. (1986) · Mathematical Biosciences · doi:10.1016/0025-5564(86)90154-9 · Cited by 1,080
Research works printed but not linked: 2
- K Hall, 2002, Can a temporary high fat diet cause persistent obesity via acquired leptin resistance? Insights from a mathematical model., Diabetes, 51(S2), A607
- L Girardier, 1994, [autoregulation of body weight and body composition in man. a systematic approach through models and simulation]., Arch Int Physiol Biochim Biophys, 102, A23
Cited by
Sorted by citations
Quantification of the effect of energy imbalance on bodyweight
Hall, K. D., Sacks, G., Chandramohan, D., Chow, C. C., Wang, Y. C., Gortmaker, S. L., & Swinburn, B. A. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60812-x · Cited by 1,165
Self-citationCellular bioenergetics as a target for obesity therapy
Tseng, Y.-H., Cypess, A. M., & Kahn, C. R. (2010) · Nature Reviews Drug Discovery · doi:10.1038/nrd3138 · Cited by 591
Thomas, D. M., Bouchard, C., Church, T., Slentz, C., Kraus, W. E., Redman, L. M., Martin, C. K., Silva, A. M., Vossen, M., Westerterp, K., et al. (2012) · Obesity Reviews · doi:10.1111/j.1467-789x.2012.01012.x · Cited by 280
Changes in energy expenditure with weight gain and weight loss in humans
Müller, M. J., Enderle, J., & Bosy-Westphal, A. (2016) · Current Obesity Reports · doi:10.1007/s13679-016-0237-4 · Cited by 267
Blundell, J. E., Caudwell, P., Gibbons, C., Hopkins, M., Näslund, E., King, N. A., & Finlayson, G. (2012) · British Journal of Nutrition · doi:10.1017/s0007114511003138 · Cited by 225
Lin, B., Smith, T. A., Lee, J., & Hall, K. D. (2011) · Economics & Human Biology · doi:10.1016/j.ehb.2011.08.007 · Cited by 208
Self-citationPredicting metabolic adaptation, body weight change, and energy intake in humans
Hall, K. D. (2009) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00559.2009 · Cited by 209
Self-citationGanti, R., Pham, N., Tsai, Y.-E., & Abdelzaher, T. (2008) · ACM Conference on Embedded Networked Sensor Systems (SenSys) · doi:10.1145/1460412.1460440 · Cited by 171
Nutritional Systems Biology Modeling: From Molecular Mechanisms to Physiology
de Graaf, A. A., Freidig, A. P., de Roos, B., Jamshidi, N., Heinemann, M., Rullmann, J. A. C., Hall, K. D., Adiels, M., & van Ommen, B. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000554 · Cited by 156
Self-citationHall, K. D., Butte, N. F., Swinburn, B. A., & Chow, C. C. (2013) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(13)70051-2 · Cited by 138
Self-citationBarrientos-Gutierrez, T., Zepeda-Tello, R., Rodrigues, E. R., Colchero-Aragonés, A., Rojas-Martínez, R., Lazcano-Ponce, E., Hernández-Ávila, M., Rivera-Dommarco, J., & Meza, R. (2017) · PLoS ONE · doi:10.1371/journal.pone.0176336 · Cited by 134
A simple model predicting individual weight change in humans
Thomas, D. M., Martin, C. K., Heymsfield, S. B., Redman, L. M., Schoeller, D. A., & Levine, J. A. (2011) · Journal of Biological Dynamics · doi:10.1080/17513758.2010.508541 · Cited by 127
Simulation models of obesity: a review of the literature and implications for research and policy
Levy, D. T., Mabry, P. L., Wang, Y. C., Gortmaker, S. L., Huang, T. T. ‐., Marsh, T., Moodie, M., & Swinburn, B. A. (2010) · Obesity Reviews · doi:10.1111/j.1467-789x.2010.00804.x · Cited by 126
Modeling weight-loss maintenance to help prevent body weight regain
Hall, K. D., & Jordan, P. N. (2008) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.2008.26333 · Cited by 110
Self-citationSlater, G. J., Dieter, B. P., Marsh, D. J., Helms, E. R., Shaw, G., & Iraki, J. (2019) · Frontiers in Nutrition · doi:10.3389/fnut.2019.00131 · Cited by 88
Navarro-Barrientos, J. E., Rivera, D. E., & Collins, L. M. (2011) · Mathematical and Computer Modelling of Dynamical Systems · doi:10.1080/13873954.2010.520409 · Cited by 87
Modeling Metabolic Adaptations and Energy Regulation in Humans
Hall, K. D. (2012) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-071811-150705 · Cited by 81
Self-citationAdvances in the Science and Application of Body Composition Measurement
Baracos, V. E., Caserotti, P., Earthman, C. P., Fields, D. A., Gallagher, D., Hall, K. D., Heymsfield, S. B., Müller, M. J., Rosen, A. N., Pichard, C., et al. (2012) · Journal of Parenteral and Enteral Nutrition · doi:10.1177/0148607111417448 · Cited by 75
Self-citationDynamic energy-balance model predicting gestational weight gain
Thomas, D. M., Navarro-Barrientos, J. E., Rivera, D. E., Heymsfield, S. B., Bredlau, C. E., Redman, L. M., Martin, C. K., Lederman, S. A., Collins, L. M., & Butte, N. F. (2011) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.111.024307 · Cited by 68
A note on the relationship between obesity and driving
Jacobson, S. H., King, D. M., & Yuan, R. (2011) · Transport Policy · doi:10.1016/j.tranpol.2011.03.008 · Cited by 66
Guo, J., & Hall, K. D. (2011) · PLoS ONE · doi:10.1371/journal.pone.0015961 · Cited by 59
Self-citationEstimating the Continuous-Time Dynamics of Energy and Fat Metabolism in Mice
Guo, J., & Hall, K. D. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000511 · Cited by 57
Self-citationFrerichs, L., Araz, Ö. M., & Huang, T. T. ‐. (2013) · PLoS ONE · doi:10.1371/journal.pone.0082887 · Cited by 57
Estimating changes in free-living energy intake and its confidence interval
Hall, K. D., & Chow, C. C. (2011) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.111.014399 · Cited by 56
Self-citationThompson, W. C., Zhou, Y., Talukdar, S., & Musante, C. J. (2016) · Journal of Pharmacokinetics and Pharmacodynamics · doi:10.1007/s10928-016-9481-1 · Cited by 49
Data perturbation with state-dependent noise for participatory sensing
Zhang, F., He, L., He, W., & Liu, X. (2012) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infcom.2012.6195610 · Cited by 48
New fat free mass - fat mass model for use in physiological energy balance equations
Thomas, D. M., Das, S. K., Levine, J. A., Martin, C. K., Mayer, L., McDougall, A., Strauss, B. J., & Heymsfield, S. B. (2010) · Nutrition & Metabolism · doi:10.1186/1743-7075-7-39 · Cited by 49
Barrientos‐Gutiérrez, T., Moore, K., Auchincloss, A. H., Mujahid, M. S., August, E. T., Sánchez, B. N., & Roux, A. V. D. (2017) · American Journal of Epidemiology · doi:10.1093/aje/kwx186 · Cited by 47
A Novel System Dynamics Model of Female Obesity and Fertility
Sabounchi, N. S., Hovmand, P. S., Osgood, N. D., Dyck, R. F., & Jungheim, E. S. (2014) · American Journal of Public Health · doi:10.2105/ajph.2014.301898 · Cited by 44
Mechanisms of Metabolic Fuel Selection: Modeling Human Metabolism and Body-Weight Change
Hall, K. D. (2010) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/memb.2009.935465 · Cited by 41
Self-citationGiabbanelli, P. J., & Crutzen, R. (2017) · Computational and Mathematical Methods in Medicine · doi:10.1155/2017/5742629 · Cited by 38
Energy content of weight loss: kinetic features during voluntary caloric restriction.
Heymsfield, S. B., Thomas, D., Martin, C. K., Redman, L. M., Strauss, B., Bosy-Westphal, A., Müller, M. J., Shen, W., & Martin Nguyen, A. (2012) · Metabolism · doi:10.1016/j.metabol.2011.11.012 · Cited by 36
Short and long-term energy intake patterns and their implications for human body weight regulation
Chow, C. C., & Hall, K. D. (2014) · Physiology & Behavior · doi:10.1016/j.physbeh.2014.02.044 · Cited by 36
Self-citationBasto-Abreu, A. C., Braverman‐Bronstein, A., Camacho‐García‐Formentí, D., Zepeda‐Tello, R., Popkin, B. M., Rivera, J. Á., Hernández‐Ávila, M., & Barrientos‐Gutiérrez, T. (2018) · PLoS Medicine · doi:10.1371/journal.pmed.1002664 · Cited by 38
Nahon, K. J., Boon, M. R., Doornink, F., Jazet, I. M., Rensen, P. C. N., & Abreu-Vieira, G. (2017) · Journal of Thermal Biology · doi:10.1016/j.jtherbio.2017.08.006 · Cited by 33
Struben, J., Chan, D., & Dubé, L. (2014) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12381 · Cited by 34
Connecting micro dynamics and population distributions in system dynamics models
Fallah‐Fini, S., Rahmandad, H., Chen, H., Xue, H., & Wang, Y. (2013) · System Dynamics Review · doi:10.1002/sdr.1508 · Cited by 33
A Machine Learning Approach to Short-Term Body Weight Prediction in a Dietary Intervention Program
Babajide, O., Tawfik, H., Palczewska, A., Gorbenko, A., Astrup, A. V., Martínez, J. A., Oppert, J., & Sørensen, T. I. A. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-50423-6_33 · Cited by 29
The (dys)regulation of energy storage in obesity
Levin, B. E., Geary, N., & Lutz, T. A. (2025) · Physiological Reviews · doi:10.1152/physrev.00002.2024 · Cited by 27
Data integration for prediction of weight loss in randomized controlled dietary trials
Nielsen, R. L., Helenius, M., García, S. L., Roager, H. M., Aytan-Aktug, D., Hansen, L. B. S., Lind, M. V., Vogt, J. K., Dalgaard, M., Bahl, M. I., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-76097-z · Cited by 25
Modelling adipocytes size distribution
Soula, H. A., Julienne, H., Soulage, C. O., & Géloën, A. (2013) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2013.04.025 · Cited by 23
Linking neuronal brain activity to the glucose metabolism
Göbel, B., Oltmanns, K. M., & Chung, M. (2013) · Theoretical Biology and Medical Modelling · doi:10.1186/1742-4682-10-50 · Cited by 26
Giabbanelli, P. J., Tison, B., & Keith, J. (2021) · Simulation Modelling Practice and Theory · doi:10.1016/j.simpat.2020.102268 · Cited by 22
Jacquier, M., Crauste, F., Soulage, C. O., & Soula, H. A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0100073 · Cited by 26
Weight‐HbA1c‐insulin‐glucose model for describing disease progression of type 2 diabetes
Choy, S., Kjellsson, M., Karlsson, M., & de Winter, W. (2015) · CPT Pharmacometrics & Systems Pharmacology · doi:10.1002/psp4.12051 · Cited by 21
A mathematical model of leptin resistance
Jacquier, M., Soula, H. A., & Crauste, F. (2015) · Mathematical Biosciences · doi:10.1016/j.mbs.2015.06.008 · Cited by 21
Basu, S., Seligman, H. K., & Winkleby, M. A. (2014) · American Journal of Public Health · doi:10.2105/ajph.2013.301674 · Cited by 20
Secured by automobility: why does the private car continue to dominate transport practices?
Kent, J. (2013) · UNSWorks (UNSW Sydney) · doi:10.26190/unsworks/16135 · Cited by 19
A mathematical model of food intake.
Chudtong, M., & Gaetano, A. D. (2021) · Mathematical biosciences and engineering : MBE · doi:10.3934/mbe.2021067 · Cited by 18
A modeling approach for compounds affecting body composition
Gennemark, P., Jansson‐Löfmark, R., Hyberg, G., Wigstrand, M., Kakol‐Palm, D., Håkansson, P., Hovdal, D., Brodin, P., Fredin, M. F., Antonsson, M., et al. (2013) · Journal of Pharmacokinetics and Pharmacodynamics · doi:10.1007/s10928-013-9337-x · Cited by 18
Low capacity to oxidize fat and body weight
Péronnet, F., & Haman, F. (2019) · Obesity Reviews · doi:10.1111/obr.12910 · Cited by 20
Quantifying the association between obesity, automobile travel, and caloric intake
Behzad, B., King, D. M., & Jacobson, S. H. (2012) · Preventive Medicine · doi:10.1016/j.ypmed.2012.11.022 · Cited by 17
Effect of Over- and Underfeeding on Body Composition and Related Metabolic Functions in Humans
Müller, M. J., & Bosy‐Westphal, A. (2019) · Current Diabetes Reports · doi:10.1007/s11892-019-1221-7 · Cited by 16
Individual differences in the forced swimming test and neurochemical kinetics in the rat brain
Sequeira‐Cordero, A., Mora-Gallegos, A., Cuenca-Berger, P., & Trías, J. F. (2014) · Physiology & Behavior · doi:10.1016/j.physbeh.2014.01.037 · Cited by 17
Urinary markers of hydration during 3-day water restriction and graded rehydration
Johnson, E. C., Huffman, A. E., Yoder, H. A., Dolci, A., Perrier, E. T., Larson‐Meyer, D. E., & Armstrong, L. E. (2019) · European Journal of Nutrition · doi:10.1007/s00394-019-02065-7 · Cited by 16
Predictive Mathematical Models of Weight Loss
Thomas, D. M., Scioletti, M. S., & Heymsfield, S. B. (2019) · Current Diabetes Reports · doi:10.1007/s11892-019-1207-5 · Cited by 16
Feedback models allowing estimation of thresholds for self-promoting body weight gain
Christiansen, E., Swann, A., & Sørensen, T. I. A. (2008) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2008.07.004 · Cited by 18
Lin, B., Smith, T. A., & Lee, J. (2010) · RePEc: Research Papers in Economics · doi:10.22004/ag.econ.61167 · Cited by 15
Energy Balance at a Crossroads: Translating the Science into Action
Manore, M. M., Brown, K. A., HOUTKOOPER, L. B., Jakicic, J. M., Peters, J. C., Edge, M. S., Steiber, A. L., Going, S. B., Gable, L. G., & Krautheim, A. M. (2014) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2014.03.012 · Cited by 15
Modeling the dynamics of stable isotope tissue-diet enrichment
Remien, C. H. (2014) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2014.11.018 · Cited by 15
Verigin, T., Giabbanelli, P. J., & Davidsen, P. I. (2016) · Annual Simulation Symposium (ANSS) · doi:10.22360/springsim.2016.anss.018 · Cited by 14
Functional Body Composition: Need for a New Agenda
Sardinha, L. B. (2012) · Archives of Exercise in Health and Disease · doi:10.5628/aehd.v3.i3.147 · Cited by 13
Hall, K. D. (2012) · Springer eBooks · doi:10.1007/978-3-642-29056-5_22 · Cited by 13
Self-citationModeling and Estimating Individual and Population Obesity Dynamics
Rahmandad, H., & Sabounchi, N. S. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-29047-3_37 · Cited by 13
Models Use Leptin and Calculus to Count Calories
Hall, K. D., & Heymsfield, S. B. (2009) · Cell Metabolism · doi:10.1016/j.cmet.2008.12.006 · Cited by 12
Self-citationThe energy balance theory is an inconsistent paradigm
Arencibia‐Albite, F. (2022) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2022.111240 · Cited by 11
McGrath, T., Murphy, K. G., & Jones, N. S. (2018) · Journal of The Royal Society Interface · doi:10.1098/rsif.2017.0736 · Cited by 10
State-of-the-art measurements in human body composition: A moving frontier of clinical importance.
Gallagher, D., Shaheen, I., & Zafar, K. (2008) · PubMed · Cited by 10
Newbury, J. W., Foo, W. L., Cole, M., Kelly, A. L., Chessor, R. J., Sparks, S. A., Faghy, M. A., Gough, H. C., & Gough, L. A. (2022) · PLoS ONE · doi:10.1371/journal.pone.0266238 · Cited by 9
Real-Time Model Predictive Control of Human Bodyweight Based on Energy Intake
Fernández, A. P., Youssef, A., Heeren, C., Matthys, C., & Aerts, J. (2019) · Applied Sciences · doi:10.3390/app9132609 · Cited by 9
Wang, J., Wei, Y., Galizzi, M. M., Kwan, H. S., Zee, B. C.-Y., Fung, H., Yung, T. K. C., Wong, E. L., Yue, Q., Lee, M. K. L., et al. (2024) · Preventive Medicine · doi:10.1016/j.ypmed.2024.107994 · Cited by 8
Vidaña‐Pérez, D., Braverman‐Bronstein, A., Zepeda‐Tello, R., Camacho‐García‐Formentí, D., Colchero, M. A., Rivera, J. Á., Popkin, B. M., & Barrientos‐Gutiérrez, T. (2021) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2021.05.033 · Cited by 9
The Effect of Food and Beverage Prices on Children's WeightsPreprint
Wendt, M., & Todd, J. E. (2011) · RePEc: Research Papers in Economics · doi:10.22004/ag.econ.134705 · Cited by 8
The Supplemental Nutrition Assistance Program, energy balance, and weight gain
MacEwan, J. P., Smith, A. D., & Alston, J. M. (2016) · Food Policy · doi:10.1016/j.foodpol.2016.01.009 · Cited by 7
Selimkhanov, J., Thompson, W. C., Patterson, T. A., Hadcock, J. R., Scott, D. O., Maurer, T. S., & Musante, C. J. (2016) · PLoS ONE · doi:10.1371/journal.pone.0155674 · Cited by 7
Mathematical Modeling of the Human Energy Metabolism Based on the Selfish Brain Theory
Chung, M., & Göbel, B. (2011) · Advances in experimental medicine and biology · doi:10.1007/978-1-4419-7210-1_25 · Cited by 7
Gong, Z., & Gong, Z. (2012) · Biology Direct · doi:10.1186/1745-6150-7-19 · Cited by 7
Finley, P. D., Brown, T. J., Zagonel, A. A., Glass, R. J., Karanfil, O., & Moore, T. W. (2011) · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · Cited by 7
Grigg, M. J., Thake, C. D., Allgrove, J. E., King, J. A., Thackray, A. E., Stensel, D. J., Owen, A., & Broom, D. R. (2023) · Appetite · doi:10.1016/j.appet.2022.106375 · Cited by 6
Torres, M. M., Trexler, E. T., Smith‐Ryan, A. E., & Reynolds, A. (2017) · European Journal of Applied Physiology · doi:10.1007/s00421-017-3787-6 · Cited by 6
Villasanti, H. G., Giraldo, L. F., & Passino, K. M. (2018) · IEEE Control Systems · doi:10.1109/mcs.2018.2810478 · Cited by 6
Murillo, A. L., Kaiser, K. A., Smith, D. L., Peterson, C. M., Affuso, O., Tiwari, H. K., & Allison, D. B. (2019) · Obesity · doi:10.1002/oby.22511 · Cited by 6
Modeling energy intake and body weight effects of a long-acting amylin analogue
Brings, A., Borghardt, J. M., Skarbaliene, J., Baader-Pagler, T., Deryabina, M. A., Rist, W., & Scheuerer, S. (2017) · Journal of Pharmacokinetics and Pharmacodynamics · doi:10.1007/s10928-017-9557-6 · Cited by 6
CKD subpopulations defined by risk‐factors: A longitudinal analysis of electronic health records
Ramaswamy, R., Wee, S. N., George, K., Ghosh, A., Sarkar, J., Burghaus, R., & Lippert, J. (2021) · CPT Pharmacometrics & Systems Pharmacology · doi:10.1002/psp4.12695 · Cited by 5
Burden of Diabetes Type 2 Through Modelling and Simulation
Atanasijevic-Kunc, M., & Drinovec, J. (2011) · InTech eBooks · doi:10.5772/24443
Reconstruction of the Drive Underlying Food Intake and Its Control by Leptin and Dieting
Grasman, J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0074997 · Cited by 5
Effect of Nutritional Supplements on Immune Function and Body Weight in Malnourished Adults
Cheskin, L. J., Margolick, J. F., Kahan, S. I., Mitola, A. H., Poddar, K. H., Nilles, T. L., Kolge, S., Menendez, F., Ridoré, M., Wang, S.-J., et al. (2010) · Nutrition and Metabolic Insights · doi:10.4137/nmi.s4460 · Cited by 5
Rossow, H. A., & Calvert, C. C. (2014) · Journal of Nutrition · doi:10.3945/jn.114.192351 · Cited by 5
Oghabian, A., van der Kolk, B. W., Marttinen, P., Valsesia, A., Langin, D., Saris, W. H. M., Astrup, A. V., Blaak, E. E., & Pietiläinen, K. H. (2023) · PeerJ · doi:10.7717/peerj.15100 · Cited by 4
A Mathematical Model for Nutrient Metabolic Chemistry
Drew, D. A. (2018) · Applied Mathematics · doi:10.4236/am.2018.96045 · Cited by 4
A note on human body weight dynamics and control based on the macronutrient and energy flux balance
Laila, D. S. (2010) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2010.5530809 · Cited by 4
Chauhan, A., Weiß, H., Koch, F., Ibrahim, S. M., Vera, J., Olaf Wolkenhauer, A., & Tiedge, M. (2015) · PLoS ONE · doi:10.1371/journal.pone.0140858 · Cited by 4
Simulating the Ideal Body Weight in Human Populations
Hakim, M. A. (2017) · International Journal of Biochemistry and Biophysics · doi:10.13189/ijbb.2017.050401 · Cited by 3
Microsimulation model of child and adolescent overweight: making use of what we already know
Shackleton, N., Chang, K., Lay‐Yee, R., D’Souza, S., Davis, P. B., & Milne, B. J. (2019) · International Journal of Obesity · doi:10.1038/s41366-019-0426-9 · Cited by 3
Brain health across the lifespan and the impact of nutrition, exercise, microbiota, and sleep
Shin, A. C., Haque, Z. F., Galyean, S., Hefner, M., Esmaeili, M., Lawrence, J. J., & Watkins, B. A. (2026) · Ageing Research Reviews · doi:10.1016/j.arr.2026.103245 · Cited by 3
Systemic modelling of human bioenergetics and blood circulation
Lim, K. M., Yang, S.-H., & Shim, E. B. (2012) · IET Systems Biology · doi:10.1049/iet-syb.2011.0035 · Cited by 2
Intelligent System for Predicting the State of the Human Body
Сафина, Р. М. (2021) · International Russian Automation Conference (RusAutoCon) · doi:10.1109/rusautocon52004.2021.9537538 · Cited by 2
Ng, M. Y., Song, Z. J., Venkatesan, G., Rodríguez‐Cuenca, S., West, J. A., Yang, S., Tan, C., Ho, P. C., Griffin, J. L., Vidal‐Puig, A., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-54466-2 · Cited by 3
Modelling remission from overweight type 2 diabetes reveals how altering advice may counter relapse
Sweatman, C. Z. W. H. (2024) · Mathematical Biosciences · doi:10.1016/j.mbs.2024.109180 · Cited by 2
Computational Modelling of Energy Metabolism and Body Composition Dynamics
Hall, K. D. (2014) · Springer eBooks · doi:10.1007/978-1-4471-4920-0_11 · Cited by 2
Self-citation
Metadata
- Authors
- Chow, C. C., & Hall, K. D.
- Affiliations
- National Institutes of Health (US)
- Corresponding author
- Chow, Carson C.
- Venue
- PLoS Computational Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2008-03-28
- Volume
- 4
- Issue
- 3
- Pages
- e1000045
- ISSN
- 1553-734X (ISSN-L)
- 1553-7358
- PMC
- PMC2266991
- OpenAlex
- W2103014115
- Cited by
- 156
- References
- 51
- Citations by year
- 2026: 9 · 2025: 5 · 2024: 13 · 2023: 3 · 2022: 7 · 2021: 7 · 2020: 2 · 2019: 12 · 2018: 4 · 2017: 9 · 2016: 9 · 2015: 6 · 2014: 13 · 2013: 8 · 2012: 12
- FWCI
- 5.48
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS Computational Biology (publishedVersion, public-domain)
- PubMed Central (publishedVersion, public-domain)
- PubMed (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- arXiv (Cornell University) (public-domain)
- Funders
- National Institutes of Health
- National Institute of Diabetes and Digestive and Kidney Diseases
- Topics
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Regulation of Appetite and Obesity
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Health Sciences › Medicine › Physiology (medical) › Body Composition Measurement Techniques
- Keywords
- weight change, energy balance, energy expenditure, body composition, fat mass, lean body mass, obesity, mathematical model, dynamical systems, multiple steady states, energy intake
- MeSH terms
- Body Composition, Computer Simulation, Eating, Energy Metabolism, Humans, Kinetics, Models, Biological, Obesity, Weight Gain, Weight Loss
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