Qualified Health Claims: Food for Thought? Neal H. Hooker and Ratapol P. Teratanavat Department of Agricultural, Environmental, and Development Economics.

Slides:



Advertisements
Similar presentations
Jack Jedwab Association for Canadian Studies September 27 th, 2008 Canadian Post Olympic Survey.
Advertisements

Methodological Issues in Consumer Protection Surveys Michael B. Mazis School of Business American University 2007 ABA Consumer Protection Conference.
STATISTICS HYPOTHESES TEST (I)
INYS, Lund, November 29, 2006 Consumer aspects relating to the development of functional foods Klaus G. Grunert MAPP – Centre for Research on Customer.
1 Alternative measures of well-being Joint work by ECO/ELSA/STD.
Direct-to-Consumer Advertising of Genetic Tests
National Accessible Reading Assessment Projects Examining Background Variables of Students with Disabilities that Affect Reading Jamal Abedi, CRESST/University.
Does risk exist, and if it does, where does it live and how do we find it? Doug Crawford-Brown Professor of Environmental Sciences and Policy Director,
Chi Square Interpretation. Examples of Presentations The following are examples of presentations of chi-square tables and their interpretations. These.
Part Three Markets and Consumer Behavior
Presented by the Illinois Department of Insurance Andrew Boron, Director November 2012.
McGraw-Hill/Irwin McGraw-Hill/Irwin Copyright © 2009 by The McGraw-Hill Companies, Inc. All rights reserved.
MarkeTrak V Hearing Aid Industry Market Tracking Survey Sergei Kochkin, Ph.D. Knowles Electronics, Inc. June 1999.
Nutrition, Food Access and Social Behavior in a Low-Income Minority Neighborhood Caitlin McKillop a Tammy Leonard a, Kerem Shuval b, JoAnn Carson c,d a.
A survey of children, teachers and parents on children’s drawing experience at home and at school Richard Jolley (Staffordshire University, UK) Esther.
Emily Scales, Catherine Mackenzie, Victoria Little Nursing 300: Research Methods Donna MacDonald March 24, 2013.
BA PLAN: Sleeping More, Stressing Less Sarah Kim.
1 Using Bayesian Network for combining classifiers Leonardo Nogueira Matos Departamento de Computação Universidade Federal de Sergipe.
Putting Statistics to Work
Qualified Health Claims Pauline M. Ippolito* Bureau of Economics Federal Trade Commission * The views expressed in this presentation are my own and do.
Dr. Hala Hazam Al-Otaibi Department of Food Sciences and Nutrition, Community Nutrition College of Agriculture and Food Science, King Faisal University.
Do College Students Perceive Healthier Food as Being More Expensive? Evaluating How Perceptions Can Affect Food Choice SIERRA S. HOWRY, A. DEAN MONROE:
Substantiation of Health Claims in Advertising: Probiotics Richard L. Cleland Division of Advertising Practices Federal Trade Commission.
Ashley Adams & Whitley Holt Hanover College
Label Claims Blakeley Denkinger, MPH, RD, CSSD Nutrition Assessment and Evaluation Team, Nutrition Programs Staff Office of Nutrition, Labeling, and Dietary.
Claims – Consumer Perspective David Schardt Center for Science in the Public Interest (CSPI)
0 Conference on “How to Increase the Effectiveness of Financial Education” at Dartmouth College Published in the Journal of Behavioral Finance, 2005, Vol.
‘Building Bridges’ An innovative tool to capture small health behaviour changes; the development process. Mills, H., Uphill, M., & Weed, M. Introduction.
Understanding Factors Affecting Consumer Purchase Decisions for Functional Foods By Ratapol Teratanavat Dr. Neal H. Hooker Presented at the IFT Meeting,
1 Be smart! Should I believe all the advertisements say? - Activity 1Activity 1 - Activity 2Activity 2 - Activity 3Activity 3 - Extension activityExtension.
CONFIDENCE – ACCURACY RELATIONS IN STUDENT PERFORMANCES We attempted to determine students’ ability to assess comprehension of course material. Students.
Facts Up Front Versus Traffic Light Food Labels
Principles of New Animal Drug Effectiveness: An Overview
1 Scientific Review of Qualified Health Claims (QHC) Barbara O. Schneeman, Ph.D. Office of Nutritional Products, Labeling and Dietary Supplements Center.
Nutrition Facts Label Presented by Janice Hermann, PhD, RD/LD OCES Adult and Older Adult Nutrition Specialist.
Essential Question What is a food label?
THE SOCIAL IMPACTS OF TOURISM ON LOCAL COMMUNITY’S QUALITY OF LIFE Ivana Pavlić, Ana Portolan & Barbara Puh University of Dubrovnik, Department of Economics.
Effects of Strength of Science Disclaimers on the Communication Impacts of Health Claims Brenda M. Derby, Ph.D. & Alan S. Levy, Ph.D. Food & Drug Administration.
HHS Office of the General Counsel
Reading Labels. Why Read Labels? To be informed about the products we purchase. To help us distinguish between nutrient dense foods and non-nutrient dense.
Physical Activity in Seniors Does perception match reality? Deborah Weiss, Mark Yaffe, Christina Wolfson.
What’s in the news right now related to science???? Flesh eating bacteria.
But I Know it Worked: Unpacking Teachers’ Perceptions about the Effects of Literacy Strategies on Students Kelly Feighan and Debra Coffey Research for.
November 17, 2005 FDA Public Meeting: Assessing Consumers’ Perception of Health Claims 1 Policy Makers’ Paradigms and Evidence from Consumer Interpretations.
INTRODUCTION METHODS Amanda Mortensen Dr. Karen Mumford Amanda Mortensen Dr. Karen Mumford Campus Wide Healthy Eating Initiative RESULTS ACKNOWLEDGEMENTS.
Problem-Solving Abilities and Feelings of Control: A Work in Progress Emily M. Kaiser, Department of Communication Studies, College of Arts and Sciences.
Effects of Involvement on Students’ Food Choices Cassandra Treweek, Karen Ostenso, University of Wisconsin-Stout Problem: Obesity is a national issue and.
Assessing Consumers’ Perceptions of Health Claims Presentation of IFIC Foundation Consumer Research on Health Claims and Other Label Statements Wendy Reinhardt.
Using Fear Appeal in Green-PC Advertising Fenghueih Huarng Jan-hui Liao Bao-lin Lin Department of Business Administration, Southern Taiwan University of.
Factors Related to Students’ Interest in Science Learning Kostas Dimopoulos, Assistant Professor, Dept of Social and Educational Policy, University of.
Learning Objectives Copyright © 2002 South-Western/Thomson Learning Using Measurement Scales to Build Marketing Effectiveness CHAPTER ten.
Results Table 1 Table 1 displays means and standard deviations of scores on the retention test. Higher scores indicate better recall of material from the.
Associations between Beliefs about E-cigarettes and Public Support for Regulating E-cigarettes Chul-joo Lee, Andy Tan, Cabral Bigman, & Kyungbo Kim.
Data Analysis: Statistics for Item Interactions. Purpose To provide a broad overview of statistical analyses appropriate for exploring interactions and.
Promoting Patient Involvement in Medication Decisions David H. Hickam, MD, MPH Professor, Dept. of Medicine Oregon Health & Science University Portland,
Homelessness and Mental Illness: The Medical Students’ Viewpoints Charity Pires BS, Sarah Hilton MS, Faneece Embry BS, Anthony Ahmed PhD, Edna Stirewalt.
Choosing and using your statistic. Steps of hypothesis testing 1. Establish the null hypothesis, H 0. 2.Establish the alternate hypothesis: H 1. 3.Decide.
Copyright © 2011 Pearson Education, Inc. PowerPoint® Lecture Slide Presentation Created by Susan Tripp, MS, RD, LDN UMass Memorial Medical Center Food.
Background: In recent years, the prevalence of Celiac Disease in the United States has been estimated at 1% of the population, or 1 in every 133 people.
Examining the Effect of Crime Prevention Signage Through Social Normative Theory and Attitude Structures Bruce Biggs and Meghan E. Norris Results  Neighborhood.
Rosemarie Bernabe, PhD Julius Center for Health Sciences and Primary Care Patient representatives’ contributions to the benefit-risk assessment tasks of.
Nutrition Information Credibility By Jennifer Turley and Joan Thompson © 2016 Cengage.
It Matters What We Say: Nutritional Claims on Product Packaging
The effect of sound motivation in branding – A case study of a bookstore Instructor: Kate Name: 陳建佑 Student No.: Date: 6/02/2010.
Evidence for gender bias in interpreting online professor ratings
Research amongst Physical Therapists in the State of Kuwait: Participation, Perception, Attitude and Barriers Presented by Sameera Aljadi, PT, PhD Assistant.
By Charles Olusegun DOHERTY
Nutrition Information Credibility
Nutrition Information & Credibility
Presentation transcript:

Qualified Health Claims: Food for Thought? Neal H. Hooker and Ratapol P. Teratanavat Department of Agricultural, Environmental, and Development Economics Paper presented at FDA Public Meeting Assessing Consumers' Perceptions of Health Claims College Park, MD. November 17, 2005

Qualified Health Claims Pearson v. Shalala led to new FDA food labeling policy To provide additional and up-to-date scientific information To encourage food producers to make accurate, science-based claim Ranked by level of scientific evidence

Examples of Visual Aid/Disclaimers Level B: …. Although there is scientific evidence supporting the claim, FDA has determined that the evidence is not conclusive Level D: …. Very limited and preliminary scientific research suggests that …. FDA concludes that there is little scientific evidence to support this claim

Literature Review Experimental studies on consumer use of label information Ford et al., 1996; Keller et al., 1997; Mitra et al., 1999; Roe, Levy, and Derby, 1999; Garretson and Burton, 2000; Kozup, Creyer, and Burton, 2003 Independent effect of claims on front label and nutrition information in Nutrition Facts panel Consumers rely more on information in the Nutrition Facts panel No published study has looked at the new qualified health claim policy

Related Studies IFIC – web based Derby and Levy – mall intercept France and Bone – dietary supplements Murphy – FTC advertising copy test

Students as Subjects? General consumers and undergrad. students often used as participants in experimental studies No difference between two groups for consumer response to labeling information (Wansink, 2003) Two groups react similarly to open-ended willingness to pay questions (Maguire, Taylor, and Gurmu, 2003)

Study 1: Objectives To determine how consumers use health information to form judgments about product quality To examine whether consumers can differentiate various levels of qualified health claims

Methodology Controlled randomized experimental design 5 levels of claim Wheat Crackers Containing Soy Protein Dual benefit product 168 students participated for extra credit 48% Female; years old; 66% Caucasian

Control 5 Versions of Front Labels with Different Qualified Claims Level D Level ALevel BLevel C

Dependent Measures Mean score from multi-items with seven-point scales Attitude toward the product (5 items) Confidence in claim (2 items) Perceived health benefit of product (2 items)

Attitude Towards the Product

Confidence in Claim Information

Perceived Health Benefits

Statistical Tests All 3 measures have significant multivariate effects (MANOVA) Significant main effect for attitude and confidence but not health benefit (ANOVA) Attitude lower if D compared to B, confidence lower if D compared to A (HSD) No other significantly different pairings

Thought Listings Open-ended opinions Grouped into 6 categories Product attributes/ingredients Label design Product appeal Health benefits/healthfulness Usefulness of information Inconsistency of information

Thought Listings Control subjects list thoughts on label design (55%), product appeal (61%), ingredients (39%), and healthfulness (34%) the product looks healthy or the product is good for you When health claims are present, many list benefits (>45%) it may reduce the risk of cancer or it may reduce the risk of heart disease

Thought Listings o When information is consistent commented that such information is informative o Focus on product being healthy o Felt that FDA approved the message o Qualified health claims trigger thoughts of inconsistency of the health and nutrition information (42% for Level D, 35% for Level C, and 29% for Level B) Why do they put the information on the front label if it is inconclusive? This makes me very skeptical. The report card is confusing seems to contradict itself. I would never buy something that has a C on a scale of how much evidence there is to support the claim.

Study 2: Objectives To determine how report card influences consumer response to different claim levels Comparing A and D

Methodology 2 (claim) X 2 (report card) between- subject design Same dependent measures 109 students participated for extra credit 53% Female; years old; 72% Caucasian

Level D Without Report Card 4 Versions of Front Labels with Different Qualified Claims Level D with Report Card Level A with Report CardLevel A without Report Card

Attitude Towards the Product

Confidence in Claim Information Mean Score

Perceived Health Benefits Mean Score

Statistical Tests All 3 measures have significant multivariate effects (MANOVA) Significant interaction effect for all measures (ANOVA) Simple effects are significant – report card presence makes a difference

Thought Listings Most participants commented on product appeal, health benefit, and health benefits of the product Report card reinforced information usefulness Participants indicate that A is congruent with the health and nutrition information, leading to a strong perception that the product is healthy and good for them Report card stands out the most - linked to healthfulness of the product ~ 42% of those who saw report card commented on usefulness of the information, compared to 16% of those not seeing a report card

Thought Listings Level D ~ 30% noticed the inconsistency of the health and nutrition information Participants skeptical about information when seeing qualified claim level D I am a little disturbed … promise on the label has very little evidence to back it up. After reading the FDA part, it seems that the product is not really good as they claim. Many do not believe the information when seeing a D The label is covered by messages about the healthy nature of the product, yet the FDA gives a D rating. This made me wonder about the actual health benefits of the product. Why is there little scientific evidence to support the health benefits of this product? Are they unhealthy although they say that it reduces the risk of …

Conclusions Only level D can be differentiated from other levels Visual aid (report card) helps consumers distinguish claim levels Future studies and other research questions Qualitative studies: to find a more distinct disclaimer Dual/synergistic health benefits and disclaimers

Thanks fst.osu.edu/ifafs