2012
DOI: 10.1108/00070701211219496
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Self‐reported nutritional knowledge and the acceptance of health‐related food benefit claims

Abstract: Purpose -The purpose of this study is to determine whether reported nutritional knowledge and the acceptance of benefit claims for a fresh produce item is related to changes in preference in order to provide food marketers insight and guidance into giving consumers more information to change beliefs and preferences, using health-benefit claims to position their brands as offering ingredients, e.g. Lycopene which may prevent serious illnesses such as heart disease and cancer. Design/methodology/approach -The sa… Show more

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Cited by 22 publications
(19 citation statements)
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References 55 publications
(55 reference statements)
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“…Chi-square analysis showed that there was no significant difference in demographic factors and cookie-eating habits among clusters (for age, χ 2 4, 0.05 = 8.866, p = 0.065; for gender, χ 2 2, 0.05 = 1.840, p = 0.399; for low-sugar food purchase experience, χ 2 2, 0.05 = 0.397, p = 0.820; for purchase intention of low-sugar food, χ 2 4, 0.05 = 2.324, p = 0.676). It was initially hypothesized that demographic factors such as age, gender, low-sugar food related attitudes could moderate the effect of information based on previous findings [26,[36][37][38]. However, the results of the present study did not support this hypothesis.…”
Section: Consumer Segmentation According To Acceptance Shift Under Thcontrasting
confidence: 93%
See 1 more Smart Citation
“…Chi-square analysis showed that there was no significant difference in demographic factors and cookie-eating habits among clusters (for age, χ 2 4, 0.05 = 8.866, p = 0.065; for gender, χ 2 2, 0.05 = 1.840, p = 0.399; for low-sugar food purchase experience, χ 2 2, 0.05 = 0.397, p = 0.820; for purchase intention of low-sugar food, χ 2 4, 0.05 = 2.324, p = 0.676). It was initially hypothesized that demographic factors such as age, gender, low-sugar food related attitudes could moderate the effect of information based on previous findings [26,[36][37][38]. However, the results of the present study did not support this hypothesis.…”
Section: Consumer Segmentation According To Acceptance Shift Under Thcontrasting
confidence: 93%
“…Therefore, it is assumed that the interaction between sensory characteristics and information varies across individuals depending on their personal traits. Age and gender are the most frequently studied individual traits that can affect the processing of health information [36]. In addition, dietary habits, degree of health orientation or interest in health [37,38] and the level of knowledge about health information [39] have been studied as potential moderating variables for the effect of health-related information on liking.…”
Section: Introductionmentioning
confidence: 99%
“…Participant age was a limitation because more than 64% of the participants were 18–25, and this age group is generally more likely to choose high‐sugar products (Banik, Naher, Pervez, & Hossain, 2020; Dave, An, Jeffery, & Jasjit, 2009; Schroder, Fito, & Covas, 2007; Valente, Stangarlin‐Fiori, Seiscentos, de Souza, & Opolski, 2019). In this sense, research with elderly people is necessary since this age group is often more health conscious (Ares, Gimenez, & Gambaro, 2009; Baglione, Tucci, & Stanton, 2012; Cavaliere, Ricci, & Banterle, 2015; Karelakis, Zevgitis, Galanopoulos, & Mattas, 2019; Pinto et al, 2020) and may represent a new contrast between sensory acceptance and health expectations. According to Demattè et al (2013), smell or taste loss in elderly individuals is one of the factors that causes a decline in their sensory perception, making them less intolerant to new foods (e.g., low‐sugar products).…”
Section: Limitations and Future Prospectsmentioning
confidence: 99%
“…At the most basic level, health claims are simply claims about nutritional value that are designed to influence consumers' product choice (Baglione, 2012). Unlike nutrient disclosures which may or may not be mandated, that do not directly refer to any health effects, health claims attempt to link specific product attributes to certain health outcomes (Butler, 2002).…”
Section: Introductionmentioning
confidence: 98%