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临床试验/NCT06440421
NCT06440421已完成不适用

Evaluating Promising Food Labelling Interventions Using Bahrain e-Mart

Duke-NUS Graduate Medical School1 个研究点 分布在 1 个国家目标入组 395 人开始时间: 2025年1月1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
395
试验地点
1
主要终点
Value of Multiple Traffic Light Score

研究概览

简要总结

Using a two-arm randomized controlled trial (RCT) and an intercept survey, the investigators aim to evaluate the effects of the Multiple-Traffic Light (MTL) front-of-pack (FOP) food labels in Bahrain, on diet quality of grocery shoppers in the Kingdom of Bahrain. The investigators will use an experimental online grocery store, called Bahrain e-Mart, which is similar in design to commercial web-based grocery stores to test these labels. Participants will complete an online shopping experiment on Bahrain e-Mart such that those assigned to the control arm and those assigned to the intervention arm would be exposed to food and beverage products with no FOP labels and with MTL labels, respectively.

Participants will randomly be assigned to one of the following arms and asked to complete a one-time shop.

Arm 1 (Control): Participants will experience a default version of Bahrain e-Mart which replicates the traditional shopping experience of online grocery stores with no FOP labels.

Arm 2 (MTL): Same as Arm 1 Bahrain e-Mart except that Multiple-Traffic Light (MTL) labels are displayed on all food and beverage products.

The investigators hypothesize the following:

Hypothesis 1: Diet quality, as measured by weighted (by the number of servings) average of all purchased products' Multiple Traffic Light scores for the shopping trip, will be greater in Arm 2 as compared to Control. Multiple Traffic Light is a nutrition labelling system wherein each nutrient attribute constituting this label is assigned different colours according to whether the amount of that nutrient is low (green), medium (amber) or high (red).

Hypothesis 2: Diet quality, as measured by weighted (by the number of servings) average of all purchased products' Nutri-Score points for the shopping trip, will be greater in Arm 2 as compared to Control. Relying on the British Food Standard Agency Nutrient Profiling System, the Nutri-Score (NS) point system assigns points to each product based on levels of 7 nutrients (calories, saturated fats, sugar, salt, fibre, protein and percentage of fruits, vegetables, and nuts) per 100g or 100 ml to assess overall nutritional quality. The final NS points range from 0 to 55, with 0 being the least healthy score and 55 the healthiest.

Hypothesis 3: The weighted (by the number of servings) average calories (kcal), sugar (g), sodium (mg), total fat (g), and saturated fat (g) per serving will be less in Arm 2 as compared to Control.

详细描述

Experimental design & procedures

The aim of this study is to use a 2-arm randomized controlled trial with an online grocery store (Bahrain e-Mart), to rigorously evaluate the effect of the Multiple Traffic Light front-of-pack (MTL FOP) labels displayed on all food and beverage products, on diet quality.

Multiple Traffic Light (MTL) Labels

The investigators will test one type of front-of-pack (FOP) label known as MTL. The MTL label includes per serving size information and grades each nutrient i.e., energy, sugar, fat, saturated fat, and sodium separately based on recommended thresholds. Green signifies a healthy amount of that nutrient; red signifies an unhealthy amount, and amber signifies that the nutrient levels fall between healthy and unhealthy amounts. Additionally, the label also shows how much of a person's daily allowance for a particular nutrient is met by consuming one serving of the product. Lastly, MTL includes the absolute values of each nutrient per serving of a product and the percentage of an adult's daily reference intake that is met by consuming a serving of this product.

Overview of Randomised Control Trial (RCT) Design

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
Triple (Participant, Investigator, Outcomes Assessor)

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

  • People who are residents of the Kingdom of Bahrain
  • Age of 21 and above,
  • Arabic OR English speakers and readers, and
  • A weekly primary grocery shopper for their households can participate in this study.

排除标准

  • People who are not residents of the Kingdom of Bahrain
  • Under 21 years of age,
  • Cannot speak or read Arabic AND English, or
  • Are not weekly primary grocery shoppers for their households cannot participate in this study.

结局指标

主要结局

Value of Multiple Traffic Light Score

时间窗: After completion of data collection, an average of about 5 months

Diet quality measured by the weighted (by the number of servings) average of all purchased products' Multiple Traffic Light scores for the shopping trip. Multiple Traffic Light is a nutrition labelling system wherein each nutrient attribute constituting this label is assigned different colours according to whether the amount of that nutrient is low (green), medium (amber) or high (red). MTL Scores are calculated by assigning values to the 4 nutrients that constitute Multiple Traffic Light labels i.e., sugar, fat, saturated fat, and sodium wherein each nutrient classified with a green colour is assigned a score of 3, amber ones are assigned a score of 2 and red ones are assigned a score of 1. Then, the resulting average is computed for each product on the store.

次要结局

  • Quantity of saturated fat that MTL labels display(After completion of data collection, an average of about 5 months)
  • Quantity of calories that MTL labels display(After completion of data collection, an average of about 5 months)
  • Quantity of sugars that MTL labels display(After completion of data collection, an average of about 5 months)
  • Value of Nutri-Score points(After completion of data collection, an average of about 5 months)
  • Quantity of sodium that MTL labels display(After completion of data collection, an average of about 5 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

Soye Shin

Assistant Professor

Duke-NUS Graduate Medical School

研究点 (1)

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