Research shows that food package labels influence what people buy, but different label designs work in different ways. According to Gram Research analysis of two experiments with 375 total participants, simple summary labels like star ratings primarily change how healthy people perceive foods, while detailed nutrient labels with color coding help people better understand actual nutrition facts before making purchase decisions. The summary label approach explained 50.4% of purchasing decisions for unhealthy foods, demonstrating that label design significantly shapes food choices.
According to Gram Research analysis, the way nutrition information appears on food packages significantly influences what people choose to eat. Researchers compared different label designs, some showing overall health ratings and others breaking down specific nutrients with color coding, to see which approach best steers shoppers toward healthier choices. The study found that simple summary labels work better for making people perceive foods as healthier, while detailed nutrient labels with color warnings are more effective at helping people understand actual nutrition content. These findings could help governments and companies design better food labels that genuinely encourage healthier eating habits.
Key Statistics
A 2026 study published in Frontiers in Nutrition involving 237 participants found that combining summary labels with color coding produced a significant interaction effect on health perception (F = 11.08, p < 0.001), making it the most effective label design tested.
Research with 138 participants showed that nutrient-specific labels with color coding created a significant indirect pathway to purchase intentions through nutrition accuracy understanding (β = -0.119, p = 0.044), explaining 40.4% of the variation in food choices.
A two-study analysis found that summary-label designs explained 50.4% of the variation in intentions to purchase low-health foods, compared to 40.4% for nutrient-specific labels, indicating that simple ratings may be more influential on consumer behavior.
Among 375 total participants across two experiments, health literacy significantly moderated label effectiveness, with higher nutrition knowledge consumers responding more strongly to combined summary-plus-color-coding label formats.
The Quick Take
- What they studied: How different types of nutrition labels on the front of food packages affect what people think about food and what they actually buy
- Who participated: Two groups of online study participants: 237 people in the first experiment and 138 in the second experiment, all making food choices based on different label designs
- Key finding: Simple summary labels (like star ratings) make people feel better about foods, while detailed nutrient labels with color coding help people actually understand nutrition facts better. Each type works through different mental pathways.
- What it means for you: The label design on packages matters more than you might think. Different labels help different people make better choices, some respond to simple ratings, others need detailed breakdowns. This could lead to better label designs that help everyone eat healthier.
The Research Details
Researchers ran two separate experiments to test how food labels influence shopping decisions. In the first experiment, 237 people online viewed products with different label types: some had simple summary ratings (like stars), others showed detailed nutrient information with color coding (like traffic lights), and some had no labels at all. Researchers measured how these labels changed people’s perception of whether foods were healthy and what they chose to buy.
The second experiment expanded this with 138 new participants looking at multiple unhealthy food categories. This time, researchers compared three conditions: Health Star Rating labels (simple summary), Multiple Traffic Light labels (detailed with colors), and no label at all. They used advanced statistical methods to trace how people’s thinking worked, did they first understand the nutrition facts, then change their perception of health, then decide to buy differently?
Both experiments carefully controlled for factors like how interested people already were in healthy eating and how well they understood nutrition labels, ensuring the label design itself was what made the difference.
Understanding how labels actually work in people’s minds is crucial for public health policy. If governments mandate certain label types without knowing which designs actually change behavior, they might waste resources on ineffective labels. This research reveals that different label designs trigger different thinking patterns, some work by changing overall impressions, others by improving nutrition knowledge. This insight allows policymakers to choose or design labels that work best for their specific goals.
This study has several strengths: it tested real-world label designs that governments actually use, it included two separate experiments to confirm findings, and it used rigorous statistical methods to understand the thinking process behind food choices. The sample sizes (237 and 138) are reasonable for this type of research. However, participants made choices online rather than in actual stores, which may not perfectly reflect real shopping behavior. The study also focused on specific label types used in certain countries, so results may vary in other regions with different labeling systems.
What the Results Show
Study 1 revealed a significant interaction between label type and color coding. When labels combined a summary format with color coding, they produced the strongest change in how healthy people perceived foods (F = 11.08, p < 0.001). Interestingly, this effect was particularly strong among people who already had good nutrition literacy.
Study 2 showed that the two label types worked through completely different mental pathways. Summary labels (like star ratings) primarily influenced food choices by changing people’s overall perception of whether a food was healthy. People saw the rating and thought “this must be healthy” or “this must be unhealthy,” and that perception drove their purchasing decision.
In contrast, nutrient-specific labels with color coding worked differently. These labels first helped people accurately understand the actual nutrition facts (like sodium, sugar, and fat content), which then changed their health perception, which then influenced their purchase intentions. This two-step thinking process was statistically significant (β = -0.119, p = 0.044).
Both label types explained substantial portions of why people chose to buy unhealthy foods, the summary label model explained 50.4% of the variation in purchase intentions, while the nutrient-specific model explained 40.4%. This means label design is a major factor in food choices, though other factors also play a role.
The research revealed that health literacy (how well people understand nutrition) moderated the effects of different labels. People with higher nutrition knowledge responded more strongly to the combined summary-plus-color-coding approach. This suggests that label effectiveness isn’t one-size-fits-all, different people may benefit from different label designs based on their existing nutrition knowledge. Additionally, the study found that color coding alone wasn’t enough; it needed to be paired with either summary information or detailed nutrient breakdowns to be effective.
Previous research has shown that front-of-package labels generally help people make healthier choices compared to no labels. This study advances that knowledge by showing that not all labels work the same way. Earlier studies often treated labels as interchangeable, but this research demonstrates that summary labels and detailed nutrient labels operate through distinct cognitive mechanisms. The finding that different labels work for different people aligns with recent nutrition communication research suggesting that personalized label formats may be more effective than universal approaches.
The biggest limitation is that participants made choices online, not in real grocery stores where they might be rushed, distracted, or influenced by price and placement. Online choices may not reflect actual shopping behavior. Second, the study focused on specific label formats used in certain countries; results might differ with other label designs or in different cultural contexts. Third, the study measured immediate purchase intentions rather than actual long-term eating behavior, people might intend to buy healthier foods but not follow through at home. Finally, while the sample sizes were adequate, they were relatively modest, so results should be confirmed with larger studies before implementing major policy changes.
The Bottom Line
Based on this research, policymakers should consider using summary labels (like star ratings) for consumers who want quick, simple guidance, and detailed nutrient labels with color coding for those who want to understand specific nutrition facts. Ideally, combining both approaches, showing a summary rating alongside detailed nutrient information with color warnings, appears most effective. Confidence in these recommendations is moderate to strong, as the findings come from controlled experiments but need real-world validation.
Food manufacturers, government health agencies, and grocery stores should care about these findings when designing or choosing label systems. Consumers benefit by understanding that different labels serve different purposes, a simple star rating gives quick guidance, while a detailed nutrient label helps you understand exactly what you’re eating. Parents trying to teach children about nutrition might prefer different label types depending on the child’s age and understanding level.
Changes in food perception can happen immediately when viewing a label, but actual behavior change typically takes weeks to months. If better labels are implemented, you might notice yourself making different choices within a few weeks, but establishing new eating habits usually requires 4-8 weeks of consistent exposure to the new label information.
Frequently Asked Questions
Do food package labels actually change what people buy?
Yes, significantly. Research with 375 participants found that label design explained 40-50% of purchasing decisions for unhealthy foods. Summary labels and detailed nutrient labels work differently, summary labels influence overall health perception, while detailed labels improve nutrition understanding first.
Which type of food label is most effective at helping people eat healthier?
It depends on the person. Summary labels like star ratings work best for quick decisions and people wanting simple guidance. Detailed nutrient labels with color coding work better for people who want to understand specific nutrition facts. Combining both approaches appears most effective overall.
How do nutrition labels actually influence our brains when we shop?
Different labels trigger different thinking patterns. Summary labels change your overall impression of whether food is healthy, which then influences your purchase. Detailed nutrient labels first help you understand actual nutrition facts, which changes your health perception, which then affects your choice.
Does nutrition knowledge affect how well food labels work?
Yes. People with higher nutrition literacy respond more strongly to combined summary-plus-color-coding labels. This suggests personalized label formats based on individual nutrition knowledge might be more effective than one universal label design for everyone.
How long does it take for better food labels to change eating habits?
Label perception changes immediately, but actual behavior change typically takes 4-8 weeks. You might notice yourself making different choices within a few weeks of exposure to new label formats, but establishing lasting new eating habits requires consistent engagement over months.
Want to Apply This Research?
- Track which label format helps you make better choices: when you see a simple star rating, do you choose healthier foods? When you see detailed nutrient breakdowns with colors, do you make different decisions? Log your choices and label type for two weeks to identify your personal label preference.
- Use the app to photograph food labels and receive personalized feedback on which label format (summary vs. detailed) best influences your choices. Set a goal to consciously use your preferred label type when shopping, and track whether this leads to healthier purchases over time.
- Create a weekly report showing which label types you encountered and how they influenced your purchases. Over months, you’ll see patterns in your decision-making and can optimize your shopping strategy based on your personal response to different label designs.
This research examines how food labels influence purchasing decisions in controlled online experiments. Results may not perfectly reflect real-world grocery shopping behavior, which involves additional factors like price, convenience, and habit. The study focused on specific label formats used in certain countries; effectiveness may vary with different label designs or in different regions. These findings should inform but not replace consultation with healthcare providers or registered dietitians for personalized nutrition advice. Individual responses to labels vary based on nutrition knowledge, cultural background, and personal preferences.
This research translation is published by Gram Research, the science division of Gram, an AI-powered nutrition tracking app.
