Short CommunicationThe relative ability of different front-of-pack labels to assist consumers discriminate between healthy, moderately healthy, and unhealthy foods
Introduction
The provision of front-of-pack labels (FoPLs) on prepackaged foods is a common public health intervention aimed at reducing diet-related chronic disease (Cecchini et al., 2010, Hawkes, 2010). Different FoPLs vary in how effectively they assist consumers to make healthy choices, which is likely to be related to the degree to which they provide an interpretation of the nutrient profiles of foods (Hamlin, McNeill, & Moore, 2015). The Daily Intake Guide (DIG), which states the level of select negative and positive nutrients (e.g., fat, sugar, protein) within a product in grams per serve and as a percent of an average adult’s recommended daily intake, is known as a reductive FoPL because it provides little interpretation of nutrition information. The Multiple Traffic Lights (MTL) FoPL, which use the colors red, amber and green to indicate whether negative nutrients are high, medium or low respectively, is known as an evaluative FoPL because it provides more interpretation of the nutrition information. Evidence suggests that evaluative FoPLs are more likely to lead to greater accuracy in determining relative healthiness and greater intentions to purchase healthier products than reductive FoPLs (Hawley et al., 2013, Hersey et al., 2013).
The Health Star Rating (HSR) has recently been introduced as a voluntary evaluative FoPL in Australia and New Zealand (Australian Government Department of Health, 2013). Manufacturers can choose to specify the amount of key nutrients per 100 g or per portion and include text to indicate whether nutrient levels are high or low. The key differentiating aspect of the HSR is a summary indicator (that is always present) that rates overall product healthiness from half a star to five stars. Focus group research suggests that consumers find the summary indicator in the HSR easier to interpret than nutrient-level information (both in the HSR and other FoPLs; Talati et al., 2016) However, quantitative evidence to support this suggestion is lacking. Another study recently found that across healthy and unhealthy foods, respondents were less likely to select a product if the HSR was present rather than absent (Hamlin & McNeill, 2016), although this may have been because the HSR was colored red in that study and red has been shown to create avoidance reactions to foods regardless of actual healthiness (Rohr, Kamm, Koenigstorfer, Groeppel-Klein, & Wentura, 2015). Importantly, the main effect of package design was far greater than the main effect of the HSR, suggesting that consumers were basing their choice more on other elements of the package design than the FoPL.
The aim of the present study was to quantitatively measure consumers’ perceptions of product healthiness resulting from exposure to FoPLs characterized by varying levels of interpretive content. Listed from least to most interpretive content, the three tested FoPLs were the DIG that provides only reductive nutrient-level information, the MTL with its color-coded nutrient-level interpretations and the HSR with its summary indicator and text-based nutrient-level interpretations. It was hypothesized that ratings of perceived healthiness would be more aligned with a product’s nutritional profile when the HSR or MTL was present, but not when the DIG or no FoPL was present. The interaction of these variables with demographic factors such as age, gender and socioeconomic status (SES) was also explored.
Section snippets
Methods
This study was part of a larger research project investigating Australian consumers’ attitudes towards packaged foods (Talati et al., 2017). Ethics clearance was obtained from a University Human Research Ethics Committee. The study design and variables relevant to the present analysis are described below.
Results
Nutritional profile influenced respondents’ perceptions of product healthiness (F(2, 11374.28) = 26.02, p < 0.001), with unhealthy foods being accurately perceived as less healthy (all ps < 0.05). There was no significant main effect of FoPL on perceived healthiness (F(3, 10997.28) = 0.6231.28, p = 0.60.), but FoPL condition and nutritional profile interacted to influence perceived healthiness (F(6, 11372.30) = 2.57, p < 0.017). As shown in Fig. 3, respondents perceived products with different nutritional
Discussion
The aim of this study was to examine whether certain FoPLs are more effective in helping consumers discriminate between healthy, moderately healthy and unhealthy foods in terms of their perceived healthiness. Results revealed that the HSR out-performed two other FoPL schemes in enabling consumers to distinguish between healthy and unhealthy foods. Thus the hypothesis that evaluative FoPLs are more effective than reductive FoPLs in helping consumers discriminate between products of varying
Conflict of interest
The authors declare no conflict of interest.
Acknowledgements
This work was supported by an ARC Linkage grant (LP130100428), with contributions from the South Australian Health and Medical Research Institute, the National Heart Foundation, Cancer Council NSW and Cancer Council Victoria. KB was supported by an NHMRC Principal Research Fellowship (ID 1042442).
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