Consumer Perceptions of Health Claims in Advertisements and on Food Labels

Mazis, Michael B.; Raymond, Mary Anne

doi:10.1111/j.1745-6606.1997.tb00824.x

Cited by 90 publications

(74 citation statements)

References 8 publications

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“…The PLANNER and INVOLV variables are thought to capture this effect. The role of claims has also been explored with respect to label use (e.g., [30][31][32], and therefore the variable HCLAIMTR is introduced to test if the perceived believability of health and nutrition claims influences label use. Drichoutis et al [3] showed the effect of several attitudinal and behavioural factors on label use, and therefore we introduce some lifestyle factors to explain label use (i.e., OBESE, OVWEIGHT, NOSMOKE, SMSTOP).…”

Section: Measurement Of Variables and Econometric Modellingmentioning

confidence: 99%

A theoretical and empirical investigation of nutritional label use

et al. 2007

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Due in part to increasing diet-related health problems caused, among others, by obesity, nutritional labelling has been considered important, mainly because it can provide consumers with information that can be used to make informed and healthier food choices. Several studies have focused on the empirical perspective of nutritional label use. None of these studies, however, have focused on developing a theoretical economic model that would adequately describe nutritional label use based on a utility theoretic framework. We attempt to fill this void by developing a simple theoretical model of nutritional label use, incorporating the time a consumer spends reading labels as part of the food choice process. The demand equations of the model are then empirically tested. Results suggest the significant role of several variables that flow directly from the model which, to our knowledge, have not been used in any previous empirical work.

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Section: Measurement Of Variables and Econometric Modellingmentioning

confidence: 99%

A theoretical and empirical investigation of nutritional label use

et al. 2007

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“…Issues addressed have been the effects of health claims on overall product evaluations and purchase intentions (e.g., Garretson and Burton 2000;Lyly et al 2007), on product sales (e.g., Mathios 1991, 1994), and on inferences about other product attributes (e.g., Andrews et al 1998;Mitra et al 1999;Roe et al 1999). Also, the possible reciprocal impact of health claims and nutrition information has been analysed (e.g., Ford et al 1996;Kozup et al 2003;Mazis and Raymond 1997). Our interest in this paper is directed at elements of the claim formulation itself and how they affect consumer perception of the claim.…”

Section: Introductionmentioning

confidence: 99%

Perception of Health Claims Among Nordic Consumers

et al. 2009

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“…Given specific behavioral recommendations, subsequent decision-making is evaluated more favorably according to both consumers' own judgments and expert standards 19 . In addition, though marketers will likely continue attempts to promote the healthiness of their products regardless of true nutritional value, unbiased nutritional information may influence consumers' beliefs independently from these claims 20,21 , and consumer misperceptions may be mitigated by greater transparency about the net value of foods' nutritional components 22 .…”

Section: Discussionmentioning

confidence: 99%

Modeling Expert Opinions on Food Healthfulness: A Nutrition Metric

Martin¹,

Beshears²,

Milkman³

et al. 2009

Journal of the American Dietetic Association

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Research during the last several decades indicates the failure of existing nutritional labels to substantially improve the healthfulness of consumers' food/beverage choices. The present study aims to fill this void by developing a nutrition metric that is more comprehensible to the average shopper. The healthfulness ratings of 205 sample foods/beverages by leading nutrition experts formed the basis for a linear regression that places weights on 12 nutritional components (ie, total fat, saturated fat, cholesterol, sodium, total carbohydrate, dietary fiber, sugars, protein, vitamin A, vitamin C, calcium, and iron) to predict the average healthfulness rating that experts would give to any food/beverage. Major benefits of the model include its basis in expert judgment, its straightforward application, the flexibility of transforming its output ratings to any linear scale, and its ease of interpretation. This metric serves the purpose of distilling expert knowledge into a form usable by consumers so that they are empowered to make more healthful decisions. Disciplines Human and Clinical Nutrition | Other Food ScienceThis journal article is available at ScholarlyCommons: http://repository.upenn.edu/oid_papers/28 08-082Copyright © 2008 by Jolie Mae Martin, John Leonard Beshears, Katherine Lyford Milkman, Max H. Bazerman, and Lisa Sutherland Working papers are in draft form. This working paper is distributed for purposes of comment and discussion only. It may not be reproduced without permission of the copyright holder. Copies of working papers are available from the author. Modeling Expert Opinions on Food ABSTRACT Background

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Consumer Perceptions of Health Claims in Advertisements and on Food Labels

Cited by 90 publications

References 8 publications

A theoretical and empirical investigation of nutritional label use

A theoretical and empirical investigation of nutritional label use

Perception of Health Claims Among Nordic Consumers

Modeling Expert Opinions on Food Healthfulness: A Nutrition Metric

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