nutrition labelling: understanding and use of nutrition facts tables among young people in canada

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Nutrition Labelling: Understanding and Use of Nutrition Facts Tables among Young People in Canada. Erin Hobin Public Health Ontario May 28, 2014 Erin.Hobin@oahpp.ca. Background. - PowerPoint PPT Presentation

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Nutrition Labelling: Understanding and Use of Nutrition Facts Tables among Young People in Canada

Erin HobinPublic Health OntarioMay 28, 2014

Erin.Hobin@oahpp.ca

PublicHealthOntario.ca

Background• Dietary patterns are associated with nutrition-related chronic

diseases such as obesity, diabetes, cardiovascular disease, and cancer

• Poor dietary patterns among adolescents and young adults in Canada

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Adolescents and Young Adults

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a

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HC Report – Serving Size

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• Not a single published study in Canada has examined the understanding and use of NFts among young people

Previous Research

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Primary Research ObjectiveTo investigate if and how young people in Canada comprehend and use serving size and %DV information on the current and

modified NFts when choosing and comparing foods.

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STUDY 1 used qualitative methods to explore the process by which young people engage with, understand, and use serving size and %DV information on the current and modified NFts.

STUDY 2 consists of a quantitative survey with 2,000 participants between the ages of 16-24 years from across Canada.

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Stimulus Conditions

Current Serving Sizes Standard Serving Sizes

% Daily Value (%DV) only Condition #1 - control Condition #2

% Daily Value (%DV) + HIGH / LOW Descriptors**

Condition #3 Condition #4

% Daily Value (%DV) + HIGH / LOW Descriptors** + Colour

Condition #5 Condition #6

**HIGH = ≥ 15% DV per serving; LOW = ≤ 5% DV per serving

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CONDITION #5

Product A Product BNutrition Facts / Valeur NutritivePer: 19 crackers (20g) /par 19 craquelins (20g)Amount Teneur

% Daily Value% valeur quotidienne

Calories / Calories 100Fat / Lipides 3.5g 5% Saturated/ saturates 1g 5% + Trans / trans 0g

Cholesterol/ Cholesterol 5mg Sodium/Sodium 200mg 13%

Carbohydrate/ Glucides 22g 4%

Fibre 1.7g 4% Sugars 1.7g Protein 5g Vit A/Vit A 2%Vit C/Vit C 0%Calcium/Calcium 6%Iron/Fer 6%

% DV = LOW/BAS MED/MOY HIGH/HAUT

Nutrition Facts / Valeur NutritivePer: 7 crackers (30g) /par 7 craquelins (30g)Amount Teneur

% Daily Value% valeur quotidienne

Calories / Calories 145Fat / Lipides 2.6g 4% Saturated/ saturates 0.8g 4% + Trans / trans 0g

Cholesterol/ Cholesterol 4mg Sodium/Sodium 60mg 4%Carbohydrate/ Glucides 19g 6%

Fibre 1g 0% Sugars 5g Protein 2g Vit A/Vit A 0%Vit C/Vit C 0%Calcium/Calcium 0%Iron/Fer 6%% DV = LOW/BAS MED/MOY HIGH/HAUT

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STUDY 1Design Overview:

• Verbal Protocol + semi-structured interviews within randomized stimulus conditions and asked to “think aloud” while participating in 2 Behavioural Tasks

• 26 participants • 50% 16 – 18 years / 19 – 24 years• 50% Male / Female • June – August 2013

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Task #1 – Hypothetical purchase situation• Price and taste are most important factors

when choosing foods.“Get more, get a better bang for my buck.”

• The nutrition information on the NFt considered when choosing foods varies between participants.

“I mean I don’t personally know too much about like the pros and cons of different vitamins, and different stuff.”

• Simple at-a-glance symbols and colours can support interpretation of nutrition information.

“There is a term next to calories that I noticed immediately when scanning the box. I have never seen both those terms before.”

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Task #2: Functional Survey with NFts

“More than the other product.”

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Task #2: Functional Survey with NFts• Do not know what the daily recommended amount is for

different nutrients and were unable to use %DV information.

“I don’t know what the daily value is.”

• Using the same metrics (e.g., %DV) for positive nutrients (e.g., calcium) and negative nutrients (e.g., saturated fat) may cause confusion for participants.

“You should always get 100% DV.”

• Participants randomized to the NFt conditions with standard serving sizes performed significantly better on survey tasks requiring comparisons across products.

“More than the other product.”

• No sense of whether high amounts of saturated fat are a good or bad thing; however, participants randomized to the NFt conditions with simple descriptors or colour coded %DV information performed significantly better on survey task requiring interpretation of %DV information.

“High” indicates high amount.”

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Key take-away message• Standard serving sizes across similar products can support

food choices and more prescriptive information leaves less for interpretation and places information into context.

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Relevance• Aligned with several food-related

recommendations made in the Healthy Kids Report section 2.5.

• Results can provide evidence to support more effective regulatory changes to Nutrition Facts tables.

• Translate findings to communicating nutrition information on front-of-package and menu labelling initiatives.

• Guide school curricula.

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Next Steps• Conduct Study 2 – online survey with

2,000 participants across Canada

• Expose participants to same 6 experimental conditions testing current NFT compared to standardized serving sizes and simple descriptors and colours to interpret %DV information

• Specific applications of NFt such as more prominent display of calories, including “added sugars” information

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RESEARCH TEAM

Food and Nutrition

Experimental Design and Survey Methods

Qualitative Methods and Think Aloud

• Dr. David Hammond Associate Professor, U Waterloo

• Dr. Erin Hobin Scientist, Public Health Ontario

• Dr. Judy Sheeshka RD, Professor, Victoria University

• Ms. Mary Fodor O’Brien RD, Public Health Ontario

• Dr. Gail McVey Scientist, Hospital for Sick Kids

Young People

TIMELINE: September 2012 through to July 2014

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ACKNOWLEDEMENTS

Funding for this study was provided through a Research in Action grant from:

Dr. Grace Shen-Tu, practicum student at PHO

Christine White, Program Manager, Propel Centre for Population Health Impact

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E: Erin.Hobin@oahpp.caT: 647-260-7198

Thank you for listening

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• Do not know what the daily recommended amount is for different nutrients and were unable to use %DV information.

Task #2: Functional Survey with NFts

“I don’t know what the daily value is.”

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Task #2: Functional Survey with NFts• Using the same metrics (e.g., %DV) for positive nutrients (e.g., calcium) and

negative nutrients (e.g., saturated fat) may cause confusion for participants.

“You should always get 100% DV.”

PublicHealthOntario.ca

Task #2: Functional Survey with NFts• Participants randomized to the NFt conditions with simple descriptors or colour coded

%DV information performed significantly better on survey task requiring interpretation of %DV information.

“High” indicates high amount.”

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