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Increased Proportion of Lower Energy Density Items vs. Nutritional Labelling at an Online Supermarket

U

University of Liverpool

Status

Completed

Conditions

Food Selection
Diet, Healthy

Treatments

Behavioral: Increased proportion of lower energy density items
Behavioral: Labelling

Study type

Interventional

Funder types

Other

Identifiers

NCT04340791
803194 1B3

Details and patient eligibility

About

This study will be a 2x2 randomised controlled trial with information-based intervention (no labelling / labelling) and structural intervention (default proportion / increased proportion of lower energy density food items) as between-subject factors and energy density (kcal/g) of food purchases during an online supermarket-shopping task as dependent variable. This study will use an online supermarket platform developed to mimic an online supermarket website and participants will be asked to complete a shopping task using a pre-determined shopping list of 10 items.

Full description

See attached protocol documents.

Enrollment

1,000 patients

Sex

All

Ages

18+ years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

  • United Kingdom residents
  • Aged ≥ 18 years
  • Fluent in English
  • Have access to a computer and Internet
  • Responsible for a substantial proportion of household grocery shopping

Exclusion criteria

  • Unable to provide informed consent and to comply with the study requirements
  • Any dietary restriction (vegetarian, vegan, gluten-free, sugar-free, dairy or lactose free, food allergy, other)

Trial design

Primary purpose

Prevention

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

None (Open label)

1,000 participants in 4 patient groups

Default proportion & no labelling
No Intervention group
Description:
No intervention: Default proportion condition (33% lower energy density items - 67% higher energy density items). Lower energy density items will be defined as lower ED ≤ median of ED distribution within a food category. No labelling.
Default proportion & labelling
Experimental group
Description:
When energy density of a food item ≤ median of energy density distribution within a food category, "healthier choice" badges will be added to the food item pictures on the online supermarket. Instructions will introduce the badges to the participants as "In the online supermarket, the green tick allows you to see which products (e.g. muesli) in each product category (e.g. cereals) are healthier choices with fewer calories per gram than most other products in the same category."
Treatment:
Behavioral: Labelling
Increased proportion & no labelling
Experimental group
Description:
The proportion of lower energy density items vs. higher energy density items will be reversed (67% lower - 33% higher) relative to the default proportion condition (33% lower - 67% higher). Lower energy density items will be defined as lower ED ≤ median of ED distribution within a food category.
Treatment:
Behavioral: Increased proportion of lower energy density items
Increased proportion & labelling
Experimental group
Description:
The proportion of lower energy density items vs. higher energy density items will be reversed (67% lower - 33% higher) relative to the default proportion condition (33% lower - 67% higher). Lower energy density items will be defined as lower ED ≤ median of ED distribution within a food category. When energy density of a food item ≤ median of energy density distribution within a food category, "healthier choice" badges will be added to the food item pictures on the online supermarket. Instructions will introduce the badges to the participants as "In the online supermarket, the green tick allows you to see which products (e.g. muesli) in each product category (e.g. cereals) are healthier choices with fewer calories per gram than most other products in the same category."
Treatment:
Behavioral: Labelling
Behavioral: Increased proportion of lower energy density items

Trial documents
1

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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