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Mass Balance over Energy Balance: Why Direct Mass Accounting Offers a More Precise and Mechanistically Faithful Framework for Human Body Weight Regulation

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21 April 2026

Posted:

22 April 2026

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Abstract
The energy balance model (EBM) and its operational form, calories-in-calories-out (CICO), have dominated obesity research and clinical practice for decades. While these frameworks have yielded valuable public health insights, they rely on indirect conversions between mass and energy and rest on misconceptions about thermodynamic principles. This Perspective argues that a mass balance model (MBM) provides a conceptually simpler, mathematically consistent, and biologically more faithful paradigm. By tracking macronutrient mass directly – without intermediate energy-unit conversions or misapplications of thermodynamic laws – the MBM aligns analysis with physiological reality and better predicts body composition dynamics. Clarifying that the first law of thermodynamics concerns only energy (not mass), that calories cannot be eaten or oxidized, and that E=mc² has no relevance to human metabolism paves the way for more precise translational interventions in metabolic medicine.
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1. Introduction: Toward a Paradigm Refinement

The energy balance theory (EBT) and its practical embodiment, the energy balance model (EBM) [1], have served as the cornerstone of nutrition science and clinical obesity management for nearly a century [2,3,4]. Proponents of the calories-in-calories-out (CICO) heuristic have correctly emphasized that sustained positive or negative energy balance is associated with weight gain or loss. These models have informed countless guidelines, public-health campaigns, and pharmacotherapeutic strategies, and their historical contributions merit unequivocal respect.
Importantly, the emerging mass balance model (MBM) does not reject energy balance; it builds directly upon it [5,6,7,8,9,10]. Energy transformations occur within the constraints of mass conservation in open biological systems. The MBM thus represents a natural refinement and extension of EBT/EBM – one that aligns more closely with the stoichiometric realities of human physiology and offers greater explanatory and predictive power in translational settings.
This Perspective addresses three foundational misconceptions that have hindered broader acceptance of mass balance principles. First, the imprecise shorthand that “calories are eaten and oxidized.” Second, the erroneous claim that energy balance and mass balance are interchangeable via Einstein’s E=mc². Third, the common assertion that the First Law of Thermodynamics directly equates energy balance with mass balance in living organisms.
Even prominent alternative frameworks, such as the carbohydrate-insulin model (CIM) [11], which reverses the direction of causality within the energy balance paradigm by proposing that hormonal responses to carbohydrates drive overeating and fat storage, ultimately operate within the same energy-accounting framework and rely on the identical two-step mass-to-energy conversions. The MBM transcends this ongoing debate – whether one emphasizes voluntary energy intake, energy expenditure, or insulin-mediated partitioning – by focusing directly on stoichiometric mass flows.
These clarifications and distinctions set the stage for demonstrating the practical superiority of direct mass accounting.

2. Three Persistent Misconceptions in Applying Thermodynamics to Body Weight Regulation

2.1. Calories Cannot Be Eaten – Nor Oxidized

A calorie is a unit of energy, not a substance. It quantifies the heat required to raise 1 gram of water by 1 °C. Clinical and research discourse routinely employs the phrase “caloric intake” as convenient shorthand for the chemical energy stored in covalent bonds of dietary macronutrients.
What physically enters the gastrointestinal tract, however, is mass – grams of carbon-, hydrogen-, oxygen-, and nitrogen-containing compounds. This mass undergoes enzymatic hydrolysis, absorption, and cellular metabolism. Energy is released through bond rearrangement (glycolysis, β-oxidation, citric acid cycle), but the atoms themselves are conserved and ultimately excreted as CO₂, H₂O, urea, and minor metabolites.
Thus, the statement “I consumed 2000 kcal today” is thermodynamically imprecise. No calories traverse the intestinal barrier; only macronutrient mass does. The energy yield (whether measured by bomb calorimetry or estimated via Atwater factors) is a derived property, not the primary input. This distinction explains why body mass change is governed by atomic inflows and outflows, not by abstract energy fluxes alone.

2.2. The Irrelevance of Einstein’s E=mc² to Human Metabolism

Some advocates of the EBM have suggested that the distinction between energy and mass balance is irrelevant because Einstein’s mass–energy equivalence (E=mc²) renders the two concepts interchangeable. This assertion, while elegant in relativistic physics, has no bearing on human metabolism. In living systems, all reactions are chemical, not nuclear. Atomic nuclei remain intact, and the mass defect in chemical bond rearrangements is negligible (on the order of 10⁻⁹ to 10⁻¹⁰ of reactant mass) – far below clinical detection limits. Lavoisier’s principle of mass conservation therefore holds with extraordinary fidelity.

2.3. The First Law of Thermodynamics Concerns Only Energy, Not Mass

A related and particularly stubborn misconception is the claim that the First Law of Thermodynamics (i.e., the Law of Conservation of Energy) directly links or equates energy balance with mass balance in the human body. The first law is expressed as:
U = QW
where ∆U is the change in the internal energy of the system, Q is the heat added to the system, and W is the work done by the system. Critically, this equation – and the first law itself – contains no term for mass. It describes the conservation of energy in its various forms (heat, work, internal energy) but says nothing about the conservation or transformation of matter.
In open biological systems such as the human body, energy and mass are handled by separate conservation principles: the First Law of Thermodynamics vs. the Law of Conservation of Mass. Energy balance can be maintained or altered through heat exchange and work without dictating the net mass change, which is governed by the inflow and outflow of atoms. Conflating the two leads to the incorrect assumption that an energy-balanced state necessarily implies a stable body mass – an assumption repeatedly contradicted by everyday observations.
Common examples include rapid changes in glycogen stores (where each gram of glycogen is stored with only a small amount of associated water, yet the glycogen itself contributes directly to dry lean mass), shifts in protein turnover and muscle protein accretion, alterations in the respiratory quotient (RQ) that change the rate at which carbon atoms are excreted as CO₂ (thereby affecting mass loss independently of energy balance), and day-to-day variations in intestinal dry matter content (undigested fiber and bacterial biomass).
These transient or short-term changes in body mass – even when they involve components of dry mass – can occur independently of any sustained imbalance in energy stores. They underscore why body mass dynamics must be tracked directly through macronutrient inflows and outflows rather than inferred solely from energy balance calculations.

2.4. Why These Distinctions Matter

These three misconceptions – the notion that calories can be directly eaten and oxidized, the misapplication of Einstein’s E=mc² to human metabolism, and the erroneous belief that the first law of thermodynamics equates energy balance with mass balance – have collectively reinforced an energy-centric view of body weight regulation. While this perspective has served as a valuable first-order approximation and has guided important public health efforts for decades, it inadvertently obscures the stoichiometric mechanisms that actually govern tissue accretion and loss.
By treating energy as the primary currency of body mass change, the conventional model requires researchers and clinicians to infer mass dynamics indirectly through multiple conversion steps and simplifying assumptions. In reality, body mass changes only when atoms enter or leave the system, regardless of the energy transformations occurring internally. Clarifying these distinctions is not merely semantic; it highlights why a direct mass balance framework can provide greater mechanistic fidelity, reduced propagation of uncertainty, and more actionable insights for translational medicine. This sets the foundation for examining the practical limitations of the traditional two-step conversion process in the EBM.

3. The Inefficiency of the Two-Step Conversion Process in EBM

A particularly revealing limitation of the EBM becomes apparent when it is applied to the analysis of body composition. As Arencibia-Albite has clearly demonstrated [9,10], the traditional framework requires an inefficient two-step process: first, ingested macronutrient mass must be converted into energy units using various assumptions and coefficients; second, the resulting energy imbalance is then converted back into estimated changes in body mass or tissue. These repeated conversions add unnecessary complexity and propagate measurement uncertainty, while distancing the model from the actual physiological mechanisms at work.
In the conventional energy balance approach, changes in body mass are typically described by comparing energy intake with energy expenditure and then dividing the difference by an assumed energy density of the gained or lost tissue (often estimated between 7700 and 9400 kilocalories per kilogram for a mixture of fat and lean tissue). Energy intake itself is not measured directly but is instead calculated from the mass of food consumed using standard metabolizable energy values, such as the well-known Atwater factors.
By contrast, the mass balance model works directly with mass. It simply states that the rate of change in body mass equals the difference between the rate at which macronutrient mass enters the body and the rate at which mass leaves the body through respiration, urine, feces, and other pathways. All quantities are expressed in grams per day. This direct approach eliminates the need for intermediate energy conversions altogether. It aligns the mathematical description with the physical reality of atomic inflows and outflows, avoids physiologically questionable parameter adjustments, and substantially reduces the accumulation of measurement errors.
Recent empirical evaluations [9,10] show that the mass balance model can accurately reproduce long-term changes in body weight and body composition without requiring the kinds of adjustments frequently needed in traditional energy-balance calculations.
Figure 1. The left panel illustrates the conventional EBM/CICO framework, which requires two indirect conversions: (1) ingested macronutrient mass is first converted into energy units using Atwater factors and digestibility assumptions (introducing uncertainty), and (2) the resulting energy imbalance (EI – EE) is then converted back into predicted body mass or tissue change using an assumed tissue energy density (typically 7700–9400 kcal/kg, further affected by hydration variability). The right panel shows the MBM, which tracks macronutrient mass directly from intake to excretion without intermediate energy conversions. All flows are expressed in grams per day, resulting in lower propagated uncertainty and better alignment with physiological stoichiometry. EBM = energy balance model; CICO = calories-in-calories-out; EI = energy intake; EE = energy expenditure; MBM = mass balance model; dM/dt = rate of change in body mass.
Figure 1. The left panel illustrates the conventional EBM/CICO framework, which requires two indirect conversions: (1) ingested macronutrient mass is first converted into energy units using Atwater factors and digestibility assumptions (introducing uncertainty), and (2) the resulting energy imbalance (EI – EE) is then converted back into predicted body mass or tissue change using an assumed tissue energy density (typically 7700–9400 kcal/kg, further affected by hydration variability). The right panel shows the MBM, which tracks macronutrient mass directly from intake to excretion without intermediate energy conversions. All flows are expressed in grams per day, resulting in lower propagated uncertainty and better alignment with physiological stoichiometry. EBM = energy balance model; CICO = calories-in-calories-out; EI = energy intake; EE = energy expenditure; MBM = mass balance model; dM/dt = rate of change in body mass.
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4. Clarification in Response to Recent Feedback

I recently received feedback on the first version of this manuscript suggesting that it overstates the novelty of the MBM and underrepresents established physiological principles. The comments raised three interrelated concerns that warrant explicit clarification, as they reflect common misconceptions about the relationship between the EBM and the MBM. Below I address each point in turn.
Claim 1:
“The manuscript overstates the novelty of the MBM by implying that the EBM neglects mass, which is inaccurate because energy balance frameworks inherently incorporate mass through biochemical processes such as macronutrient oxidation, respiratory gas exchange, and substrate flux.”
Response:
The manuscript does not claim that the EBM “neglects mass.” It demonstrates that the EBM’s operationalization of mass is indirect, assumption-laden, and error-propagating. In conventional EBM analyses, ingested mass is first converted to metabolizable energy via Atwater factors (with inherent digestibility and bomb-calorimetry assumptions), and the resulting energy imbalance is then converted back to estimated tissue mass change using assumed energy densities of 7,700–9,400 kcal/kg. These sequential conversions introduce unnecessary uncertainty and conceptual distance from the stoichiometric processes that actually govern tissue accretion and loss.
The biochemical processes cited in the feedback – macronutrient oxidation, respiratory gas exchange, and substrate flux – are precisely the phenomena that the MBM tracks directly in grams rather than inferring through energy proxies. By measuring macronutrient mass inflows (weighed intake with laboratory analysis) and outflows (breath CO₂/N₂, fecal macronutrient recovery, and urinary nitrogen) without intermediate energy-unit transformations, the MBM aligns analysis with atomic conservation and reduces propagated measurement error. The EBM does not “neglect” mass; it handles mass suboptimally through an indirect and assumption-dependent route. The MBM’s novelty lies not in discovering mass, but in demonstrating that direct mass accounting yields superior precision and mechanistic fidelity.
Claim 2:
“The manuscript risks implying that energy balance is not causally linked to changes in body mass, which contradicts fundamental metabolic physiology over meaningful timescales. While short-term fluctuations in body mass can occur independently of energy balance, sustained changes in body tissue are tightly constrained by it.”
Response:
The manuscript fully acknowledges that sustained changes in body tissue require energy transformations and are ultimately constrained by the laws of thermodynamics. However, the most accurate and mechanistically transparent way to predict and track those sustained changes is through direct mass accounting rather than through energy-balance proxies. Short-term mass fluctuations – glycogen storage with associated water, protein turnover, and day-to-day variation in intestinal dry matter – demonstrably occur independently of sustained energy imbalance and are routinely observed in controlled feeding studies. These fluctuations are better captured by mass-balance equations than by energy-balance calculations that assume fixed tissue energy densities.
Over meaningful timescales, energy and mass are coupled, but the EBM’s two-step conversion (mass → energy → mass) has historically fostered well-documented conceptual errors, including the widespread misconception that “calories are eaten and oxidized” and the misapplication of Einstein’s E=mc² to chemical metabolism. The MBM does not deny causal linkage; it clarifies that the linkage is most precisely expressed and monitored through mass flows (grams of protein, fat, and carbohydrate in versus grams out as CO₂, H₂O, urea, and fecal residue). This distinction is not semantic; it has direct implications for study design, data interpretation, and intervention targeting.
Claim 3:
”The manuscript presents energy and mass as more independent than they are in living systems, where they are closely coupled through stoichiometric biochemical reactions. This framing may lead to conceptual confusion rather than clarification.”
Response:
The MBM does not present energy and mass as independent. On the contrary, it emphasizes that they are tightly coupled through stoichiometry – the very reason direct mass tracking is superior to energy-proxy methods. In living systems, every gram of macronutrient ingested, oxidized, or excreted follows predictable atomic pathways. The EBM framework, by contrast, has historically obscured this stoichiometry by collapsing mass into abstract energy units and then back-converting with simplifying assumptions.
The MBM resolves rather than creates conceptual confusion by restoring the analysis to the physical units that biology actually conserves. Energy transformations occur within the constraints of mass conservation; tracking the latter directly provides greater explanatory power and fewer hidden assumptions. The manuscript’s framing is therefore not a departure from established physiology but a refinement that brings analytical practice into closer alignment with stoichiometric reality.
In summary, the MBM does not reject the indirect causal role of energy in sustained tissue change. It demonstrates that the most precise, mechanistically faithful, and error-minimizing way to capture that causal role is through direct mass accounting. This clarification does not diminish the value of prior EBM-based research; it explains why MBM-based re-analyses of existing datasets frequently yield sharper predictions and resolves apparent paradoxes that have persisted under energy-centric frameworks.

5. Conclusion

The energy balance model has provided a valuable first-order framework for understanding bodyweight regulation, yet its reliance on indirect mass-to-energy conversions and occasional misapplications of thermodynamic principles – including the proper scope of the First Law of Thermodynamics and the irrelevant invocation of E=mc² – ultimately limits mechanistic precision in translational medicine. By adopting a mass balance perspective, we eliminate these unnecessary intermediate steps, reduce propagated uncertainty, and ground our modeling directly in the stoichiometric and atomic realities of human physiology.
This refinement does not diminish the historical contributions of energy balance research; rather, it builds upon them by offering a clearer and more actionable path forward. For researchers, clinicians, and patients alike, shifting the focus from abstract calories to measurable macronutrient mass flows promises improved communication, more precisely targeted interventions, and better clinical outcomes in obesity and metabolic health management. Future translational efforts should therefore integrate the mass balance model with personalized nutrition, pharmacotherapy, and digital monitoring technologies.
This shift exemplifies the enduring value of Occam’s razor in scientific inquiry: when two models account for the same observations, the one that achieves the result with fewer intermediate assumptions and conversions is to be preferred. The mass balance approach embodies this principle by operating directly in the natural currency of the body – grams of macronutrients – thereby delivering greater mechanistic fidelity and practical utility for translational medicine. Embracing direct mass accounting thus represents not only a timely refinement but also a return to scientific parsimony in the study of human metabolism.

Author Contributions

This is a single-authored paper.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Acknowledgments

I would like to thank my family for their support and care as well as my colleagues for stimulating discussions.

Conflicts of Interest

The author declares no conflict of interest.

Availability of data

All data generated or analyzed during this study can be found in the sources cited in this article.

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