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临床试验/NCT05537337
NCT05537337已完成不适用

Multiphase Optimal Strategy To Improve Diet Quality-MOSTDQ (Aim 2)

Duke-NUS Graduate Medical School1 个研究点 分布在 1 个国家目标入组 487 人开始时间: 2023年1月3日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
发起方
入组人数
487
试验地点
1
主要终点
Diet Quality

研究概览

简要总结

This study aims to use the Multiphase Optimization Strategy (MOST) to build and optimize a multicomponent intervention that improves diet quality. The investigators have evaluated the effects of evidence-based public health interventions on consumers' diet quality via a web-based grocery store "NUSMart" as part of Aim 1 of this study. Considering that the goal is to identify promising interventions that may optimize online grocery platforms, the investigators used Aim 1's results to assemble a multicomponent intervention that would significantly affect diet quality: a combination of three behavioral nudges that include food labels & real-time feedback, ordering, and healthier substitute offers (a subset of the interventions examined in Aim 1). Aim 2 study aims to rigorously evaluate this multicomponent intervention.

详细描述

The important role that diet plays in health and disease is well established. Excessive intake of energy, saturated fat and sodium increase the risk of heart disease, diabetes and certain cancers. As a result, interventions aimed at encouraging healthier food consumption have been pursued by many countries. These can be broadly grouped into the following categories: price manipulations, food labelling, and behavioral nudges.

No study has previously assessed the potentially interactive effects of a multicomponent intervention that incorporates the strongest features of each intervention component while discarding those that do not meaningfully contribute to healthier consumption. That is the goal of this effort.

At part of the first stage of the MOST framework (Aim 1), the investigators evaluated the effects of evidence-based public health interventions on consumers' diet quality on a web-based grocery store "NUSMart". The investigators focused on the following four interventions: 1. Explicit Tax, 2. Food labels (with the summary of healthiness of shopping baskets & targets), 3. Ordering and 4. Within Group Healthier Substitution. Based on the study results, the investigators assembled a multicomponent intervention that consists of a subset of the above four interventions that may optimize online grocery platforms in terms of diet improvement.

The multicomponent intervention consists of the following components:

  1. Food labels (with the summary of healthiness of shopping baskets & targets)- Food labels, called Nutri-Traffic-Lights (NTL), indicating whether food and beverage products were healthy, unhealthy or somewhere in between were designed for all products on NUSMart based on the Nutri-Score Nutrition Scoring System. These were supplemented with a video explaining the labels and a dynamic pie chart indicating the overall nutritional quality of the shopper's basket (updated in real time) known as MyCart summary.
  2. Ordering- Healthier products, in terms of Nutri-Score Points, were displayed first within each category and subcategory.
  3. Within Group Healthier Substitution- At checkout, up to 4 healthier substitutes were suggested for products in the shopper's cart based on the Nutri-Score Points of these products. Substitutes were from the same category as the product that was added to cart and were close to the original product in terms of price as well.

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Parallel
主要目的
Health Services Research
盲法
Single (Participant)

入排标准

年龄范围
21 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

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

排除标准

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

结局指标

主要结局

Diet Quality

时间窗: After completion of data collection, an average of about 14 months

Diet quality measured by the weighted (by the number of servings) average of all purchased products' Nutri-Score Points for the shopping trip. Nutri-Score Points is an individual dietary index based on the British Food Standard Agency Nutrient Profiling System. Nutri-Score points are calculated by scoring food and beverage products on a scale from -15 (healthiest) to 40 (least healthy) by subtracting the sum of Nutri-Score sub-points for healthier components (e.g., fiber, protein, percentage of fruits \& vegetables) from the sum of Nutri-Score sub-points for less healthy components (e.g., energy, sugar, sodium, saturated fat). The final non-numeric grade, A to E, is determined based on carefully designed thresholds for these resulting Nutri-Score Points.

次要结局

  • Proportion of products for each Nutri-Traffic-Light (NTL) classification(After completion of data collection, an average of about 14 months)
  • Nutrients per serving(After completion of data collection, an average of about 14 months)

研究者

发起方
Duke-NUS Graduate Medical School
申办方类型
Other
责任方
Principal Investigator
主要研究者

Eric A. Finkelstein

Professor

Duke-NUS Graduate Medical School

研究点 (1)

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