The Science Behind RealFoods

Drafted with AI

This page collects the published research on blood sugar and insulin responses that the Weight Impact Score draws on. The research is mixed and still debated: the studies below look at how hormones, especially insulin, can shape whether the body burns stored fat. RealFoods uses them as a framework for its estimates, not as proven fact.

Carbohydrate-Insulin Model & Hyperinsulinemia

Ludwig, 2023

Carbohydrate-Insulin Model Review

"Conventional obesity treatment fails because it treats overeating as cause rather than consequence. High-glycemic eating patterns make fat more likely to be stored than burned, leaving fewer calories for metabolically active tissues, thereby driving hunger and reducing metabolic rate."

Thomas et al., 2019

Hyperinsulinemia Research

"Hyperinsulinemia often precedes insulin resistance rather than compensating for it, with evidence that chronic insulin elevation is self-perpetuating and drives metabolic dysfunction, challenging the traditional view that insulin is merely reactive."

Ludwig & Ebbeling, 2018

Carbohydrate-Insulin Model of Obesity

"Describes how high-glycemic carbohydrates may promote calorie deposition in adipose tissue via insulin, creating 'internal starvation' that can drive hunger and reduce energy expenditure; positions overeating as potentially a consequence, not sole cause, of adiposity."

Shanik et al., 2008

Insulin Resistance & Hyperinsulinemia

"Reviews the relationship between insulin resistance and hyperinsulinemia and argues they can reinforce each other; it is mechanistic/clinical synthesis rather than an isocaloric feeding trial."

Odeleye et al., 1997

Insulin Predicts Future Weight Gain

"Longitudinal evidence that higher baseline insulin predicts later weight/fat gain, supporting insulin as a risk marker for future obesity."

Clinical Trials on Food Composition

Hall et al., 2021

Plant-Based vs Animal-Based Study

"This controlled feeding crossover study shows the make-up of what people eat can substantially change spontaneous energy intake (ad libitum), highlighting how food type affects hunger and intake beyond calorie labeling."

Alemzadeh et al., 1998

Diazoxide Insulin Suppression Trial

"In a small randomized, placebo-controlled trial of 24 hyperinsulinemic adults on a structured meal-replacement plan, diazoxide (a drug that suppresses insulin secretion) was followed by greater weight loss over 8 weeks than placebo (9.5% vs 4.6%). It is a short, small trial, so it is suggestive of insulin's role in body weight rather than conclusive."

Velasquez-Mieyer et al., 2003

Octreotide Insulin Suppression Trial

"Clinical trial using octreotide-LAR to suppress insulin secretion; weight/fat-mass changes were reported in association with insulin suppression, and participants were allowed to eat ad libitum without recommended eating or exercise interventions."

Pesta & Samuel, 2014

Higher-Protein Eating Review

"Reviews mechanisms by which eating more protein may reduce body fat (e.g., satiety, thermic effect of food), illustrating how food composition can influence intake and expenditure pathways beyond simple calorie arithmetic."

Ebbeling et al., 2012

Food Composition & Energy Expenditure

"After weight loss, participants ate different calorie-matched eating patterns in random order; the food make-up (including lower carbohydrate) produced different changes in energy expenditure during weight-loss maintenance."

Energy Expenditure & Fasting Regimens

de Cabo & Mattson, 2019

NEJM Intermittent Fasting Review

"Review of intermittent fasting regimens and mechanisms (including 'metabolic switching') and the evidence for effects on body weight and metabolic markers."

Pontzer et al., 2016

Constrained Energy Expenditure Model

"Supports a 'constrained total energy expenditure' model, where total daily energy expenditure can plateau at higher habitual activity levels due to compensation."

Observational & Pediatric Research

Dehghan et al. (PURE), 2017

The Lancet: Macronutrient Outcomes Study

"Large observational cohort across multiple countries examining associations of macronutrient intake (carbohydrate and fat) with mortality and cardiovascular outcomes; not a weight-loss intervention."

Additional Metabolic Literature

Bikman, PhD (BYU)

Insulin-centric metabolic health researcher

"Emphasizes that chronically elevated insulin can drive harmful metabolic changes, and highlights research on how macronutrients affect insulin homeostasis and how insulin influences metabolic rate (e.g., via brown adipose tissue)."

Frequently asked questions

What research does the Weight Impact Score draw on?

The Weight Impact Score is a modelled estimate, not a clinical measurement, and it draws on the carbohydrate-insulin model of obesity. The sources listed on this page include Ludwig and Ebbeling (2018) and Ludwig (2023) on the carbohydrate-insulin model, Hall et al. (Nature Medicine, 2021) on how much people ate on a low-fat plant-based versus a ketogenic way of eating, and Thomas et al. (Journal of the Endocrine Society, 2019) on hyperinsulinemia as an early indicator of metabolic dysfunction.

Is the carbohydrate-insulin model accepted by mainstream science?

The carbohydrate-insulin model is an active area of peer-reviewed research that is still debated, not settled science. It is discussed in journals such as JAMA Internal Medicine and Philosophical Transactions B, and controlled feeding trials such as Hall et al. (Nature Medicine, 2021) are part of that debate. Researchers continue to disagree about how much insulin explains weight gain, and RealFoods uses the model as the framework behind its estimates, not as proven fact.

Which scientists does RealFoods cite?

RealFoods cites the published work of six independent researchers: Benjamin Bikman PhD (BYU, insulin and metabolism), Jessie Inchauspé (blood sugar curves and food sequencing), Dr. Jason Fung MD (therapeutic fasting and insulin resistance), Dr. Robert Lustig MD (fructose metabolism and liver fat), Dr. Eric Berg DC (ketogenic and fasting frameworks), and Dr. Mark Hyman MD (functional medicine and blood sugar regulation). None of them is affiliated with RealFoods, and none has reviewed or endorsed the app or the Weight Impact Score. RealFoods articles are written by Dino Pohilj.

See the researchers RealFoods cites, or read how the score is built in How the Weight Impact Score works.

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