Literature DB >> 31628839

Consumer preferences for beef with improved nutrient profile1.

Sarah Flowers1, Brandon R McFadden2, Chad C Carr1, Raluca G Mateescu1.   

Abstract

Although beef is a nutrient-rich foodstuff excelling in protein, vitamins, and minerals, there is controversy regarding the fat content of beef and its healthfulness in the diet. Although much of the fatty acid (FA) content in beef is considered "healthy fats," many consumers are confused about the different classifications of FA. The objectives of this study were to determine consumers' knowledge about the nutritional value of beef and its importance in purchasing decisions, and to gain a better understanding about preferences for changes in FA composition. Objectives of the study were completed through 2 consumer studies: 1) an online survey and 2) a taste-panel auction. In the online survey, respondents were asked to choose between 2 steaks that varied in polyunsaturated and saturated FA levels, iron content, and price. Respondents were also asked to categorize "Monounsaturated Fat," "Polyunsaturated Fat," "Saturated Fat," and "Trans Fat," as either "healthy" or "unhealthy" both before and after an educational excerpt was provided. The results from the online survey indicated many consumers are unclear about the differences in beef nutritional value, specifically FA content. Initially, only 66.4%, 69.1%, 79.1%, and 79.2% of respondents correctly categorized the monounsaturated, polyunsaturated, saturated, and trans fat, respectively. However, more than 90% of respondents correctly categorized the various FAs after an educational excerpt was provided. After survey respondents better understood the healthfulness of FA in beef, they were also willing to pay a premium for a steak with improved FA composition. However, these premiums diminished when participants had to actually put forth a monetary value for a steak in the taste-panel auction. Research shows that there is variation among cattle for FA composition. This provides opportunity to identify cattle with a favorable composition and market this product to the increasing population of health-conscious consumers. Our results provide insight for beef promotion and marketing opportunities and indicate that relaying information about FA content is extremely important to collect a premium for healthier beef.
© The Author(s) 2019. Published by Oxford University Press on behalf of the American Society of Animal Science. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  beef; consumer preference; fatty acid; nutritional value; willingness to pay

Mesh:

Substances:

Year:  2019        PMID: 31628839      PMCID: PMC6915225          DOI: 10.1093/jas/skz327

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  13 in total

1.  Consumer visual preference and value for beef steaks differing in marbling level and color.

Authors:  K M Killinger; C R Calkins; W J Umberger; D M Feuz; K M Eskridge
Journal:  J Anim Sci       Date:  2004-11       Impact factor: 3.159

2.  Meat as a component of a healthy diet - are there any risks or benefits if meat is avoided in the diet?

Authors:  H-K Biesalski
Journal:  Meat Sci       Date:  2005-03-29       Impact factor: 5.209

3.  Evaluating consumer acceptability and willingness to pay for various beef chuck muscles.

Authors:  A C Kukowski; R J Maddock; D M Wulf; S W Fausti; G L Taylor
Journal:  J Anim Sci       Date:  2005-11       Impact factor: 3.159

Review 4.  Red meat's role in addressing 'nutrients of public health concern'.

Authors:  Kevin D Cashman; Aoife Hayes
Journal:  Meat Sci       Date:  2017-04-27       Impact factor: 5.209

5.  Vegetarianism and cardiometabolic disease risk factors: Differences between South Asian and US adults.

Authors:  Lindsay M Jaacks; Deksha Kapoor; Kalpana Singh; K M Venkat Narayan; Mohammed K Ali; M Masood Kadir; Viswanathan Mohan; Nikhil Tandon; Dorairaj Prabhakaran
Journal:  Nutrition       Date:  2016-03-04       Impact factor: 4.008

6.  Fatty acid profile, mineral content, and palatability of beef from a multibreed Angus-Brahman population.

Authors:  Sarah Flowers; Heather Hamblen; Joel D Leal-Gutiérrez; Mauricio A Elzo; Dwain D Johnson; Raluca G Mateescu
Journal:  J Anim Sci       Date:  2018-09-29       Impact factor: 3.159

Review 7.  Nutrient-rich meat proteins in offsetting age-related muscle loss.

Authors:  Stuart M Phillips
Journal:  Meat Sci       Date:  2012-04-28       Impact factor: 5.209

8.  Effects of marbling and shear force on consumers' willingness to pay for beef strip loin steaks.

Authors:  W J Platter; J D Tatum; K E Belk; S R Koontz; P L Chapman; G C Smith
Journal:  J Anim Sci       Date:  2005-04       Impact factor: 3.159

Review 9.  Foods with a high fat quality are essential for healthy diets.

Authors:  H Zevenbergen; A de Bree; M Zeelenberg; K Laitinen; G van Duijn; E Flöter
Journal:  Ann Nutr Metab       Date:  2009-07-30       Impact factor: 3.374

Review 10.  Iron, meat and health.

Authors:  Catherine Geissler; Mamta Singh
Journal:  Nutrients       Date:  2011-02-28       Impact factor: 5.717

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  3 in total

Review 1.  Consumer Perception of Beef Quality and How to Control, Improve and Predict It? Focus on Eating Quality.

Authors:  Jingjing Liu; Marie-Pierre Ellies-Oury; Todor Stoyanchev; Jean-François Hocquette
Journal:  Foods       Date:  2022-06-13

2.  Effect of Diet and Essential Oils on the Fatty Acid Composition, Oxidative Stability and Microbiological Profile of Marchigiana Burgers.

Authors:  Isa Fusaro; Damiano Cavallini; Melania Giammarco; Annalisa Serio; Ludovica M E Mammi; Julio De Matos Vettori; Lydia Lanzoni; Andrea Formigoni; Giorgio Vignola
Journal:  Antioxidants (Basel)       Date:  2022-04-24

3.  Using near-infrared spectroscopy to determine intramuscular fat and fatty acids of beef applying different prediction approaches.

Authors:  Wilson Barragán-Hernández; Liliana Mahecha-Ledesma; William Burgos-Paz; Martha Olivera-Angel; Joaquín Angulo-Arizala
Journal:  J Anim Sci       Date:  2020-11-01       Impact factor: 3.159

  3 in total

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