The Science Behind RealFoods

Our methodology isn't based on guesswork. It's built on a foundation of independent, peer-reviewed clinical trials and metabolic research proving that hormones dictate fat storage more than simple calorie arithmetic.

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 diets shift energy partitioning toward fat storage, 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."

Alemzadeh et al., 1998

Hyperinsulinemia in Obese Children

"Demonstrates that fasting hyperinsulinemia is significantly elevated in obese children compared to lean controls, establishing insulin levels as an independent marker of obesity status and metabolic dysfunction in pediatric populations."

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 Diet Composition

Hall et al., 2021

Plant-Based vs Animal-Based Study

"This controlled feeding crossover study shows diet composition can substantially change spontaneous energy intake (ad libitum), highlighting how food type affects hunger and intake beyond calorie labeling."

Velazquez-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 diet/exercise interventions."

Pesta & Samuel, 2014

High-Protein Diet Review

"Reviews mechanisms by which higher-protein diets 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

Diet Composition & Energy Expenditure

"After weight loss, participants consumed different isocaloric diets in random order; diet composition (including carbohydrate restriction) 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)."

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