SUstainable PREvention of cardioMEtabolic risk through NUDGing hEalth behaviors

Completed

• Conditions: Cardiovascular diseases; cardiometabolic health; type 2 diabetes.

• Registration Number: NL-OMON20990
• Lead Sponsor: The SUPREME NUDGE project is carried out by a consortium, coordinated by Amsterdam UMC (Formerly VU University Medical Center).

Brief Summary

Stuber JM, Mackenbach JD, de Boer FE et al. (2020) Reducing cardiometabolic risk in adults with a low socioeconomic position: protocol of the Supreme Nudge parallel cluster-randomised controlled supermarket trial. Nutr J 19, 46. Lakerveld J, Mackenbach JD, de Boer F et al. (2018) Improving cardiometabolic health through nudging dietary behaviours and physical activity in low SES adults: design of the Supreme Nudge project. Bmc Public Health 18.

Detailed Description

Not available

Study Timeline

• Results First Posted: 1900-01-01
• Last Update Posted: 28 February 2024

Recruitment & Eligibility

• Status: Completed
• Sex: Not specified
• Target Recruitment: 360

Inclusion Criteria

Potential participants have to meet all of the following criteria in order to be eligible for study inclusion:

- Living in the low SEP neighbourhood surrounding the selected store;

Exclusion Criteria

Potential participants who are not able to adequately communicate in the Dutch language will be excluded from the study. Those who are unable to climb a flight of stairs or have a contra-indication to engage in light PA will be excluded from the mobile PA app intervention.

Study & Design

• Study Type: Interventional
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Changes in adherence to the Dutch Dietary Guidelines (i.e, DHD15-index) over 6 or 12 months compared with the control supermarkets.

Secondary Outcome Measures

Name	Time	Method
Cardiometabolic outcomes (i.e., HbA1c, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, total cholesterol, total cholesterol/HDL-ratio, triglycerides and waist circumference), along with walking behaviours (i.e., step count) to evaluate effects of the mobile PA app, and intermediate behavioural factors including changes in food purchasing in the supermarket, food decision styles, social cognitive factors in relation to nudges and walking behaviours, customer satisfaction over 6 or 12 months, and acceptance of nudges and technology at 6 or 12 months, all compared with the control arm. In addition the reflexive monitoring will result in a strategic roadmap identifying systemic barriers and facilitators, as well as strategies to overcome identified barriers for future supermarket-based health interventions.