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CompletedNCT05070442DINEUpdated Feb 15, 2023

Diet Improvement Through Normative Experimentation

An interventional study of Norm-based messaging and peer comparison features and Financial Incentives leveraging on loss aversion in Diet Quality, sponsored by Duke-NUS Graduate Medical School. Completed at 1 site in Singapore. Open to participants aged 21 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2023-02-15.

Sponsored by Duke-NUS Graduate Medical School · Not applicable, Interventional, and Health services research

Phase
Not applicable
Study type
Interventional
Enrollment
248
Allocation
Randomized
Ages
21 Years and older
Sex
All
01

Study summary

This study aims to use a three-arm randomized control trial (RCT) implemented in a fully functional experimental online grocery store, to explore the effects of two low-cost information and incentive-based strategies. These strategies comprise of injunctive norm-based messaging and the use of financial incentive leveraging on loss aversion to encourage the purchase of healthy foods. The investigators have set up a store wherein products may be purchased by participants and subsequently delivered to homes in some of the conditions. This increases the external validity of these interventions and enables investigators to establish greater confidence in their generalizability.

Read the detailed description

The Asia-Pacific is faced with an epidemic of rising rates of chronic disease. Poor diet quality is a demonstrated risk factor for non-communicable diseases. Excess intake of calories, saturated fat and sodium increases the risk of obesity, heart disease, diabetes, and other chronic conditions.

Behavioral economics has emerged as a promising strategy to increase the effectiveness of interventions aimed to address risk factors for non-communicable diseases (NCDs). Yet, there is a gap in knowledge concerning how norm-based messaging and peer influence interventions can be implemented to improve diet quality.

Using a three-arm randomized trial with a 3x3 crossover design, investigators aim to determine whether norm-based messaging and peer comparisons, with or without financial incentives, improve diet quality.

Each participant will be exposed to all of the following intervention arms in random order:

Arm 1: Control arm. Participants will experience an unmodified version of NUSMart which replicates the traditional shopping experience of online grocery stores.

Arm 2: Participants will experience a modified version of NUSMart with norm-based messaging and peer comparison features enabled. Nutri-Score labels will be enabled and displayed on all products within the store. A floating side panel will provide a visual indicator of the participants' average weighted Nutri-Score.

Arm 3: Same as Arm 2, except participants are notified of an additional $5 reward towards participation reimbursement. However, this additional $5 will be forfeited if the basket average weighted Nutri-Score falls below the average of participants' peers'. (Financial incentive leveraging on loss aversion).

Investigators hypothesize the following:

Primary hypothesis: Diet quality, as measured by mean Nutri-Score weighted by number of servings of all basket items, will be greatest when exposed to the intervention with norm-based messaging with incentive (Arm 3), followed by the intervention with norm-based messaging without the incentive (Arm 2), followed by Control (Arm 1).

Investigators will test this hypothesis in total, and separately for foods and beverages given Singapore's focus on reducing intake of sugar-sweetened beverages.

02

Conditions studied

  • Diet Quality

Keywords

  • Nutri-Score labels
  • Social norms
  • Peer comparison
  • Financial incentives
  • Loss aversion
  • Online grocery shopping
03

In context

Lead sponsor

Duke-NUS Graduate Medical School is the lead sponsor of 62 studies on the registry; 6 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
21 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes

Inclusion criteria

  • Singapore resident
  • Age 21 and above
  • Must be the primary weekly grocery shopper in their household

Exclusion criteria

Exclusion Criteria:

  • Non-Singapore resident
  • Non-primary grocery shopper in their household
  • Less than 21 years old
05

Study design

Phase
Not applicable
Primary purpose
Health services research
Allocation
Randomized
Intervention model
Crossover assignment
Masking
Triple (Participant, Investigator, Outcomes assessor)
Enrollment
248 participants (actual)

Study arms

  • No intervention
    Control Arm (Arm 1)

    Participants will experience an unmodified version of NUSMart which replicates the traditional shopping experience of online grocery stores.

  • Experimental
    Norms Arm (Arm 2)

    Participants will experience a modified version of NUSMart with norm-based messaging and peer comparison features enabled. Nutri-Score labels will be enabled and displayed on all products within the store. A floating side panel will provide a visual indicator of the participants' average weighted Nutri-Score.

    Behavioral: Norm-based messaging and peer comparison features

  • Experimental
    Norms and Incentive Arm (Arm 3)

    Same as Arm 2, except participants are notified that they have been awarded an additional $5 towards their participation reimbursement. However, this additional $5 will be forfeited if their basket average weighted Nutri-Score falls below the average of their peers'. (Financial incentive leveraging on loss aversion).

    Behavioral: Norm-based messaging and peer comparison features · Behavioral: Financial Incentives leveraging on loss aversion

Interventions

  • BehavioralNorm-based messaging and peer comparison features

    Participants are shown a version of NUSMart which includes Nutri-Score labels that are enabled and displayed besides all the products in the store. Additionally, they are shown a video that gives them background information about Nutri-Score labels and describes the following features enabled in this intervention: * Norm-based messaging will be displayed in the form of a happy or sad emoticon based on whether the participant's current basket average Nutri-Score (weighted by number of servings) is above or below "other shoppers" (Nutri-Score=3.98). * Peer comparison will be implemented as a vertical ruler display of the participant's current basket average Nutri-Score (weighted by number of servings) as well as that of their "peers". Nutri-Score=3.98 was chosen as it is 10% better than the mean Nutri-Score of baskets purchased by participants in the Nutri-Score labelled intervention arm of a prior study.

  • BehavioralFinancial Incentives leveraging on loss aversion

    Participants are informed that they have received an additional $5 towards their participant reimbursement. However, this amount will be forfeited if they check-out with a basket average Nutri-Score (weighted by the number of servings) that falls below the average Nutri-Score of "other shoppers" i.e. 3.98. An indicator on the screen that informs the participants of this potential forfeiting will be included.

06

What researchers measure

Primary outcomes

  1. Diet Quality

    Diet quality, as measured by raw Nutri-Score points (-15 to 40) weighted by number of servings of all basket items. Here, a smaller value means a better outcome. Raw Nutri-Score is measured according to the guidelines from the Sante Publique France.

    Time frame: After completion of data collection, an average of about 5 months

Secondary outcomes

  1. Average Nutri-Score

    Average Nutri-Score (1 to 5) weighted by number of servings of all basket items. Here, a higher value means a better outcome. This is calculated by converting Nutri-Score letters to numbers such that Nutri-Score E is 1, D is 2 and so on till Nutri-Score A which is 5.

    Time frame: After completion of data collection, an average of about 5 months

  2. Average Calories

    Average calories per shopping trip.

    Time frame: After completion of data collection, an average of about 5 months

  3. Average Sodium

    Average sodium per shopping trip.

    Time frame: After completion of data collection, an average of about 5 months

  4. Average Sugar

    Average sugar per shopping trip.

    Time frame: After completion of data collection, an average of about 5 months

  5. Average Fat

    Average fat per shopping trip.

    Time frame: After completion of data collection, an average of about 5 months

  6. Average Saturated Fat

    Average saturated fat per shopping trip.

    Time frame: After completion of data collection, an average of about 5 months

07

Study locations

1 site
  • Duke-NUS Graduate Medical School
    Singapore, 169857, Singapore
08

References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Feb 15, 2023, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT05070442
Lead sponsor
Duke-NUS Graduate Medical School
Responsible party
Eric A. Finkelstein (Professor, Duke-NUS Graduate Medical School) — Principal investigator
First posted
Oct 7, 2021
Start date
Apr 22, 2022
Primary completion
Oct 26, 2022
Completion
Oct 26, 2022
Last update
Feb 15, 2023

Study contacts

Eric A Finkelstein, PhD MHA
principal investigator · Duke-NUS Graduate Medical School

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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