Evaluation of food labelling usefulness for consumers

Moreira, Maria João Pinho; García‐Díez, Juan; Almeida, José; Saraiva, Cristina

doi:10.1111/ijcs.12511

Cited by 56 publications

(42 citation statements)

References 15 publications

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“…A sample of non-institutionalized, English-speaking adults aged 55 years and older, who reside in the United States (US), participated in the study. This segment was selected because older adults are affected by cancer and other chronic diseases outlined in QHCs [16,24,25]. They also represent a large portion of the population with robust purchasing power [26,27].…”

Section: Methodsmentioning

confidence: 99%

“…One study found that more detailed messages had stronger impacts on consumers when the nutrient or diet–disease link was less familiar [14]. Research also indicates that US consumers have a limited ability to act on scientific information [15] and rarely read labels because of excessive information and a lack of time [16], and these reasons may be why QHCs are infrequently found on labels [17,18].…”

Section: Introductionmentioning

confidence: 99%

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Qualified Health Claim Language affects Purchase Intentions for Green Tea Products in the United States

2019

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Qualified health claims (QHC) describe diet–disease relationships and summarize the quality and strength of evidence for a claim. Companies assert that QHCs increase sales and take legal action to ensure claims reflect their interests. Yet, there is no empirical evidence that QHCs influence consumers. Using green tea as a case study, this study investigated the effects of QHCs on purchase intentions among adults 55 years and older living in the US. An online survey using a between-subjects design examined QHCs about the relationship between green tea and the reduced risk of breast and/or prostate cancer or yukichi fruit juice and the reduced risk of gastrocoridalis, a fictitious relationship. QHCs written by a green tea company generated greater perceptions of evidence for the relationship, greater confidence in green tea and cancer, and increased purchase intentions for green tea than other QHCs. Factors that mitigated the claim’s effects on purchase intentions are: Race/ethnicity; age; importance of health claims; supplement use; health; worry about health/becoming sick with cancer; worry that led to dietary change; green tea consumption; and familiarity with the green tea–cancer. Consumers who made health-related dietary change in the past year and consider health claims important indicated greater purchase intentions than others.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Qualified Health Claim Language affects Purchase Intentions for Green Tea Products in the United States

2019

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“…(2018) showed that young people who valued food production practices such as organic, not processed, locally grown and not genetically modified were far more likely to value GF food. For specific consumer groups, such as athletes, those with health conditions (such as food allergies), or those seeking a healthy lifestyle, food labelling was observed to be more useful (Moreira, Garcia‐Díez, de Almeida, & Saraiva, 2019). In the case of patients of CD or other gluten‐related diseases, GF labelling is one of the most important determinants of food product choices (Zysk et al., 2019).…”

Section: Theoretical Background and Hypotheses Developmentmentioning

confidence: 99%

Consumer perception of packaging: An eye‐tracking study of gluten‐free cookies

Sielicka-Różyńska

Jerzyk

Gluza

2020

Int J Consumer Studies

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The growing interest in gluten‐free products makes it crucial to understand the mechanism of consumers' perception of gluten‐free claims. Due to the limited research measuring the influence of the type (verbal/nonverbal), number and location of gluten‐free statements on product labels on visual attention and consumers' purchase decisions, the main aim of this research was to evaluate the perception of gluten‐free claims and the Crossed Grain symbol on cookie packages of both consumers who are on a gluten‐free diet and those who are not. To that end, a questionnaire survey (600 respondents) and an eye‐tracking study (67 respondents) were carried out. The results showed that the respondents are aware of the basic rules of gluten‐free products' labelling, but 32% of those on the diet claimed that the products were not labelled properly. The analysis proved (p < .05) the significant relation between the number of gluten‐free claims and consumers' purchase intention. The respondents paid more attention to verbal gluten‐free claims than to nonverbal ones on packaging (p < .05). In the case of the Crossed Grain symbol, addition of verbal statement strengthened the information and decreased the respondents' level of uncertainty about a given product, which is important, especially for people newly adopting the diet. No difference in the visual attention to gluten‐free statements between the followers and non‐followers of the diet was found (p > .05), which allowed us to conclude that the perception of gluten‐free claims is an automatic process. These results suggest that designing product labels by considering the information architecture concerning gluten may help strengthen consumers' attitudes towards gluten‐free products and impact buying behaviour.

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“…In previous research, food label use was associated with consumer characteristics, product type, and purchasing context. The following variables were found to affect reading labels: gender [ 1 , 2 , 3 , 4 , 5 ], age [ 4 , 6 ], marital status [ 7 ], ethnicity [ 2 ], socioeconomic status [ 2 , 7 ], including education level [ 4 , 5 , 7 , 8 , 9 ], professional activity [ 9 ], income [ 5 ], place of living—rural or urban areas [ 2 , 5 ], Body Mass Index [ 2 , 4 ], being an athlete [ 10 ], food-related motivation [ 11 ], nutrition knowledge [ 4 , 12 , 13 ], self-reported health [ 4 , 10 ], having a special diet [ 4 , 9 ], being concerned with a healthy lifestyle [ 10 ], attitude towards the health value of the products [ 13 ], health orientation [ 14 ], taste [ 9 , 13 ], price [ 9 ], product specificity [ 12 ], buying the product for the first time [ 12 ], the amount of time spent shopping [ 9 ], and buying organic food [ 15 ]. There are various connections between these predictors, e.g., the gender effect is mainly due to differences in nutrition knowledge levels [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

Who Reads Food Labels? Selected Predictors of Consumer Interest in Front-of-Package and Back-of-Package Labels during and after the Purchase

Bryła¹

2020

Nutrients

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The paper aims to identify selected predictors of food label use to extend our knowledge about consumer behavior related to food purchases. Two types of information were examined: front-of-package (FOP) and back-of-package (BOP), and two contexts of reading labels were distinguished: during shopping and at home. Various types of potential predictors were tested, including demographic (e.g., age, gender, household size, place of living), socioeconomic (e.g., education, professional activity, income), behavioral (e.g., purchasing certain types of products), and psychographic (e.g., importance attached to various types of information) criteria. The survey was conducted with the use of the CAWI (Computer-Assisted Web Interviews) methodology in a sample of 1051 Polish consumers. Quota sampling was applied based on sex, age, education, place of living (urban vs. rural), and region. Descriptive statistics, t-tests, ANOVAs, Pearson correlation coefficients, and multiple and retrograde step regressions were applied. In retrograde step regression models, only one predictor (self-rated knowledge about nutrition healthiness) turned out to be significant for all four measures of label reading. The remaining predictors were specific to selected measures of reading labels. The importance of the information about the content of fat and that about the health effects of consuming a food product were significant predictors of three types of food label use. This study confirms the necessity to investigate reading labels in fine-grained models, adapted to different types of labels and different contexts of reading. Our results show that demographic or socioeconomic variables are not significant predictors of reading food labels for a large group of Polish consumers.

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Evaluation of food labelling usefulness for consumers

Cited by 56 publications

References 15 publications

Qualified Health Claim Language affects Purchase Intentions for Green Tea Products in the United States

Qualified Health Claim Language affects Purchase Intentions for Green Tea Products in the United States

Consumer perception of packaging: An eye‐tracking study of gluten‐free cookies

Who Reads Food Labels? Selected Predictors of Consumer Interest in Front-of-Package and Back-of-Package Labels during and after the Purchase

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