Editor’s note: The following is a guest post by Cara Liebrock, CEO of Perfect Snacks. Opinions are the author\’s own.
When it comes to health and wellness, there are wearables and apps for tracking almost everything: sleep habits, fitness goals, meals, and nutrition. However, one area that lacks personalization is food rating algorithms. These programs often take a one-size-fits-all approach, which can lead to issues.
While there is more nutritional data available to consumers than ever before, the technology and algorithms used to score it often oversimplify what is considered “good” and “bad.” For example, a consumer may scan the barcode of a food item that aligns with their nutrition goals, only to receive a concerning score in return.
Algorithmic nutritional ratings, intended to provide clarity on food ingredients, can actually cause confusion with binary scores that may penalize practical, convenient, and genuinely healthy food choices. These scores fail to consider the context behind terms like “processed” or “added sugar,” sometimes unfairly labeling them as unhealthy options.
The current form of these algorithmic ratings can lead to a black-and-white mindset that portrays most food options as bad choices, even if they are made with ingredients known to be beneficial. The technology driving these scores has not yet evolved to account for individualized health, nutritional baselines, and goals.
Understanding the nutritional value of food requires context, as without it, consumers may lose confidence in their choices, especially when it comes to packaged foods, which are often the most convenient options for busy individuals.
Interpreting nutrition scores and labels requires a level of “food fluency,” where nuances are considered to determine what is truly beneficial for individual diets. A food item that receives a “bad” score may actually be suitable for someone with specific dietary needs or goals.
For example, ingredients like “added sugars” can include natural sweeteners such as honey and maple syrup, which, despite being from real sources, are often categorized as added sugars. However, these ingredients can be part of a low-glycemic index diet when combined with other nutrients like protein, fiber, and fat.
Similarly, the term “processed” is often associated with negativity, even though many foods that are good for you, like yogurt and whole grain bread, fall under this category. It is important to understand that there are varying levels of processed foods, and not all of them are unhealthy.
Americans are increasingly seeking transparency in their food choices, with a majority avoiding products containing unfamiliar ingredients. However, the information available, from algorithmic nutrition ratings to unclear ingredient sources, often lacks essential context for consumers to make informed decisions.
It is crucial for food brands and manufacturers to provide transparency and education regarding ingredient quality and sourcing to restore confidence in consumers. Perhaps in the future, nutritional and food rating algorithms will evolve to align with the diverse nutritional needs and health goals of individuals.