Abstract WE505: A WHO Nutrient Profile Model Provides The Most Robust Limits For Sugar, Sodium, And Saturated Fats To Underpin Nutrition Policy In Bangladesh

X Xiao Hu A Ahmad Abrar (National Heart Foundation Hospital and Research Institute, Dhaka, Bangladesh) U Ummay Afroza (National Heart Foundation Hospital&Research Institute, Dhaka, Bangladesh) A Alissa Pries (Resolve to Save Lives, Alexandria, Virginia, United States) L Lindsay Steele (Resolve to Save Lives, Alexandria, Virginia, United States) L Laura Cobb (Resolve to Save Lives, Alexandria, Virginia, United States) S Sohel Choudhury (National Heart Foundation Hospital and Research Institute, Dhaka, Bangladesh) M Matti Marklund L Lawrence Appel (Johns Hopkins University, Baltimore, Maryland, United States) M Megan Henry

Abstract

Background: Sodium, saturated fat, and sugar intake in Bangladesh is rising, primarily driven by increasing consumption of packaged foods high in these nutrients. A front-of-package nutrient warning label (FoPL) policy is being proposed by the national government to protect against rising rates of diet-related chronic disease. The government is seeking to develop evidence-based limits for sodium, sugar, and saturated fat to support this policy. Objective: To compare the proportion of packaged products that would receive FoPL when three nutrient profile models (NPM) are applied: the Brazil NPM and Chile NPM, based on product weight, and World Health Organization (WHO) NPM (modified from the Pan American Health Organization (PAHO) NPM), based on calories. All three NPMs divide liquids from solids but do not vary across food categories. Methods: Packaged foods and beverages in the Mintel Global New Products Database eligible for a FoPL and displaying information necessary to calculate nutrient content were evaluated. NPM limits were applied to each product. The proportions of products that would display FoPL for each nutrient under each NPM were calculated overall, for foods and beverages separately, and by product category. Results: The display of nutrient values varied across food categories. Among eligible food products, 15% lacked information on sodium content, 25-28% on saturated fat, and 21-26% on sugar (Figure 1). Among the three NPMs used, the Brazil NPM consistently captured fewer eligible products while the WHO NPM captured the most (Figure 2). A “high in sugar” FoPL would be applied to 92% of carbonated soft drinks using the WHO NPM, compared to 74% (Chile NPM) and 70% (Brazil NPM) (Figure 3). 58% of snacks would receive a “high in salt” FoPL (WHO NPM) compared to 50% (Chile NPM), and 29% (Brazil NPM) (Figure 3). Conclusions: The WHO NPM identifies the highest percentage of packaged foods and beverages in Bangladesh high in sodium, saturated fat, and sugar. Because it is grounded in WHO population nutrient intake goals for preventing diet-related chronic disease, it provides a health-protective basis for a FoPL system. This model ensures that the FoPL framework aligns with global public health standards and supports healthier food environments. Irrespective of NPM model used, stronger regulatory enforcement and compliance with nutrient disclosures on labels is needed for comprehensive product classification and effective FoPL policy implementation.

Article Details

Journal Circulation
Volume / Issue Vol. 153, Issue Suppl_1
Published March 24, 2026
ISSN 0009-7322
Publisher Lippincott Williams & Wilkins

Journal Info

Circulation

Lippincott Williams & Wilkins

ISSN: 0009-7322 Health Sciences

Authors (10)

X

Xiao Hu

A

Ahmad Abrar

National Heart Foundation Hospital and Research Institute, Dhaka, Bangladesh

U

Ummay Afroza

National Heart Foundation Hospital&Research Institute, Dhaka, Bangladesh

A

Alissa Pries

Resolve to Save Lives, Alexandria, Virginia, United States

L

Lindsay Steele

Resolve to Save Lives, Alexandria, Virginia, United States

L

Laura Cobb

Resolve to Save Lives, Alexandria, Virginia, United States

S

Sohel Choudhury

National Heart Foundation Hospital and Research Institute, Dhaka, Bangladesh

M

Matti Marklund

L

Lawrence Appel

Johns Hopkins University, Baltimore, Maryland, United States

M

Megan Henry