How we assess child-related risk signals

Signals come from the combined effect of nutrient data, ingredients, additives, processing level, and product category.

The app does not rely on one number alone. In the child view, we combine sugar, salt, fiber, caffeine, additives, and NOVA information into a single, explainable risk card.

Each signal is presented as a strong warning, a clear risk signal, a cautionary signal, or educational context. That helps a parent quickly see what needs attention right away and what is just background information.

Calories alone do not show how a product affects sleep, fullness, dental health, or habit formation in children.

For children, food quality matters too: does the product contain a lot of free sugar, is fiber low, is salt high, or does it contain caffeine? Those signals are often more useful for parents than energy alone.

That is why the app uses a multi-signal model instead of a calorie-only view.

The strongest A-layer signals are sugar-sweetened drinks, high free sugar, caffeine/energy drinks, high salt, and low fiber.

A-layer signals were chosen because they are the most practical day-to-day signals for families and have the strongest scientific support.

When an A-layer signal activates, the app highlights it most clearly for the parent.

Liquid sugar is easy to overconsume and does not support fullness as well as solid food.

Sugar-sweetened drinks are a separate A-layer signal because, in everyday choices, they are often one of the biggest sources of quick sugar load.

That does not mean one drink is automatically dangerous. It means the choice is better suited for occasional use than for an everyday habit.

For children, caffeine and energy drinks can affect sleep, restlessness, and attention, so this is one of the strongest warnings.

This category focuses primarily on sleep quality and stable daytime well-being.

The app shows this signal strongly so that a parent notices the risk early. The effect depends on dose, timing, and the child’s sensitivity.

High salt intake can shape taste preferences and increase the child’s overall salt load.

For children, salt is not just about one meal. It is also about the habits that form over time. If very salty choices become frequent, a saltier taste can start to feel normal.

The app marks this as an A-layer signal to help parents keep the everyday menu balanced.

Low fiber can mean weaker fullness and less digestive support for the child.

If a product is low in fiber and follows a refined carbohydrate pattern, hunger may return sooner.

Over time, this signal helps parents keep more whole grains, legumes, fruit, and vegetables in the menu.

NOVA 4 is a quality and pattern signal, not an absolute statement that a single product is harmful.

The ultra-processed label helps a parent judge whether a product is better suited for everyday use or for occasional use.

The app does not use it as an automatic prohibition sign. Final interpretation still depends on the whole diet and the frequency of use.

The absence of sugar alone does not mean the product is automatically a better everyday choice for children.

If the product contains non-sugar sweeteners, the app adds a contextual signal: the choice should be judged together with the rest of the composition, not by the "zero" label alone.

This is not a red alarm; it is a reminder to look at the full picture.

We show them as a cautionary signal: in some children there may be a link to changes in activity or attention.

The app does not claim that colours affect every child in the same way. The wording is intentionally calm and conditional.

If a parent wants to limit these additives, the signal helps surface relevant products faster.

A context signal means the topic deserves attention, but it is not one of the strongest immediate priorities for daily child use.

B- and C-layer signals add background context so the decision is more informed. They do not automatically mean major harm.

The app uses context signals so parents can see the full picture without being overwhelmed.

No. The system does not ban products; it gives parents risk signals to support an informed choice.

Even a strong warning mainly means the product is better for occasional use than for everyday use.

The final decision still depends on quantity, frequency, the child’s age, and the overall dietary pattern.

No. It is decision support, not a medical diagnosis or personal treatment advice.

The app helps interpret product signals with one consistent logic. If a child has special needs, a chronic condition, or worrying symptoms, personal guidance is still needed.

The goal is to support everyday choices, not provide a clinical assessment.

The stronger the evidence, the more direct the wording; with limited evidence we use more cautious and conditional language.

For strong guidance we use clearer recommendations (for example sugar-sweetened drinks, salt, and caffeine for children).

For limited or contextual evidence we use wording like "some children" and "may deserve attention" so the statement does not overclaim.

A-layer highlights the most important everyday risks, B-layer adds cautionary context, and C-layer gives educational background.

This structure keeps the information usable: the most important signals come first, while the background context remains available without hiding the main decision factors.

That way, a parent can make a quick decision and still drill down if needed.