Food Label Readability and Consumption Frequency: Isolating Content-Specific Effects via a Non-Equivalent Dependent Variable Design
Constanza Avalos, Nick Shryane, Yan Wang

TL;DR
This study explores how the readability of food labels affects how often people consume specific foods, finding that effects vary by product type and consumer engagement.
Contribution
The study introduces a novel method using non-equivalent dependent variables to isolate content-specific effects of food label readability.
Findings
Readability of labels for pre-packaged sandwiches showed a warning effect in 2012 but reversed by 2018.
No significant association was found for pre-cooked meat, dairy, or fresh meat.
Less-engaged consumers showed the strongest association between label readability and consumption frequency for sandwiches.
Abstract
Objective: This study investigates the association between consumers’ perceived readability of Multiple Traffic Light (MTL) label print size—a theoretical structural gatekeeper for visual salience—and self-reported food consumption frequency in the United Kingdom. We aimed to disentangle the effect of label readability from label content. Using non-equivalent dependent variables (NEDVs), we tested whether the association is specific to unhealthy convenience foods and absent for healthy or unlabeled foods, while also examining heterogeneity across consumer subgroups. Methods: Data from 8948 adults across four waves (2012–2018) of the UK Food and You Survey were analyzed. Cumulative link ordinal logistic regressions were employed to model the association between self-reported print size readability and the consumption frequency of four product types: pre-packaged sandwiches and pre-cooked…
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Taxonomy
TopicsConsumer Attitudes and Food Labeling · Sensory Analysis and Statistical Methods · Nutritional Studies and Diet
