PEAK PERFORMANCEMonths to result

NOVA Classification Framework

Classify food by processing level

Problem it solves

constant distraction and fragmented attention

Best for

Researchers, public health professionals

Not ideal for

Individuals without a background in nutrition or public health

Overview

Why this framework exists

The NOVA classification framework is a system for categorizing foods based on their level of processing. It was developed by Carlos Monteiro and is widely used in research on the health effects of food processing. The framework is agnostic to nutrition, meaning it does not consider the nutritional content of foods, but rather focuses on the level of processing and the presence of additives such as colorants, flavorants, and emulsifiers.

Core principles

3 total
  1. Food processing can have negative health effects beyond the nutritional content of foods.
  2. The level of processing and the presence of additives are important factors to consider when evaluating the health effects of foods.
  3. A classification system that takes into account the level of processing and the presence of additives can be a useful tool for researchers and public health professionals.

Steps

2 steps
  1. Categorize foods based on level of processing
    Use the NOVA classification framework to categorize foods into four groups: unprocessed or minimally processed, processed culinary ingredients, processed foods, and ultra-processed foods.
    Pro tipConsider the level of processing and the presence of additives when evaluating the health effects of foods.
    WarningBe aware that the NOVA classification framework is not a perfect system and may have limitations and biases.
  2. Evaluate the health effects of ultra-processed foods
    Use the NOVA classification framework to evaluate the health effects of ultra-processed foods, which are characterized by a high level of processing and the presence of additives such as colorants, flavorants, and emulsifiers.
    Pro tipConsider the potential health effects of ultra-processed foods, including increased risk of chronic diseases such as obesity, diabetes, and heart disease.
    WarningBe aware that the health effects of ultra-processed foods can be complex and multifaceted, and may depend on a variety of factors, including the level of processing, the presence of additives, and individual characteristics such as diet and lifestyle.

Checklist

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Examples

1 cases
Ultra-processed foods in the US diet

The US diet is characterized by a high intake of ultra-processed foods, which are often high in additives such as colorants, flavorants, and emulsifiers. Examples of ultra-processed foods include frozen meals, snack foods, and sugary drinks.

OutcomeThe high intake of ultra-processed foods in the US diet has been linked to an increased risk of chronic diseases such as obesity, diabetes, and heart disease.

Common mistakes

2 traps
Overlooking the importance of food processing
Failing to consider the level of processing and the presence of additives when evaluating the health effects of foods can lead to incomplete or inaccurate conclusions.
Relying too heavily on nutritional content
Focusing too heavily on the nutritional content of foods can overlook the potential health effects of food processing and additives.

Origin story

How this framework came to be

The NOVA classification framework was developed in response to the growing concern about the health effects of food processing. Monteiro and his colleagues recognized that the traditional approach to nutrition, which focuses on the nutritional content of foods, was not sufficient to capture the complexity of the relationship between food processing and health.

Source

Traced to primary
Source · PODCAST
How Different Diets Impact Your Health | Dr. Christopher Gardner
Andrew Huberman · 2025
Open source →