National Heart Foundation Hospital & Research InstituteDept. of Epidemiology and Research

PublicationsCirculation, 2026

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

Xiao Hu, Ahmad Khairul Abrar, Ummay Afroza, Alissa M. Pries, Lindsay Steele, Laura Cobb, S O H E L Reza Choudhury, Matti Marklund, Lawrence J. Appel, Megan Henry

Circulation · 2026;153(Suppl_1) · doi:10.1161/cir.153.suppl_1.we505

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.

Keywords front-of-package warning labels · nutrient profile model · sodium · sugar · saturated fat · packaged foods · nutrition policy · diet-related chronic diseases · food labeling · soft drinks

Cite this paper

Xiao Hu, Ahmad Khairul Abrar, Ummay Afroza, Alissa M. Pries, Lindsay Steele, Laura Cobb, S O H E L Reza Choudhury, Matti Marklund, Lawrence J. Appel, & Megan Henry. (2026). Abstract WE505: A WHO Nutrient Profile Model Provides The Most Robust Limits For Sugar, Sodium, And Saturated Fats To Underpin Nutrition Policy In Bangladesh.  Circulation, 153(Suppl_1). https://doi.org/10.1161/cir.153.suppl_1.we505

Authors and affiliations

  1. Xiao Hu

    Johns Hopkins University

  2. Ahmad Khairul Abrar

    National Heart Foundation Hospital & Research Institute

    ORCID 0000-0002-7122-4576
  3. Ummay Afroza

    National Heart Foundation Hospital & Research Institute

    ORCID 0000-0003-0721-5373
  4. Alissa M. Pries

    Resolve to Save Lives

    ORCID 0000-0002-8223-3769
  5. Lindsay Steele

    Resolve to Save Lives

    ORCID 0000-0003-3658-0548
  6. Laura Cobb

    Resolve to Save Lives

  7. S O H E L Reza Choudhury

    National Heart Foundation Hospital & Research Institute

  8. Matti Marklund

    Johns Hopkins University

    ORCID 0000-0002-3320-796X
  9. Lawrence J. Appel

    Johns Hopkins University

    ORCID 0000-0002-0673-6823
  10. Megan Henry

    Johns Hopkins University