Explore the patterns and drivers of diabetes risk and how communities can take action to prevent diabetes and improve health outcomes.

Accumulating evidence indicates that diabetes is associated with increased risk of several cancers. The strongest evidence has been reported for cancers of

Prediabetes, a metabolic state preceding type 2 diabetes (T2D), is independently associated with increased all-cause mortality. Despite its growing public health significance, population-level estimat...

A large long-term study led by researchers at the University of Toronto and Harvard University provides strong evidence that children who consume sugar-sweetened beverages and fruit juice have higher ...

Prediabetes, a metabolic state preceding type 2 diabetes (T2D), is independently associated with increased all-cause mortality. Despite its growing public health significance, population-level estimat...

Low- and no-calorie sweeteners (LNCS) (also referred to as non-nutritive sweeteners) have been the subject of controversy, especially considering recent conditional recommendations by the World Health...

Canada’s newly released National School Food Policy (NSFP) and its associated federal funding commitments mark significant progress toward a more coordinated school food system in Canada. However, sig...

Bringing leaders together to drive progress in diabetes and cardiometabolic disease prevention and advance population health in Peel Region.

Aims To evaluate the impact of immigration status and sociodemographic risk factors on postpartum depressive (PPD) symptoms among women with recent gestational diabetes mellitus (GDM). Methods We ...

YouTube video by Fatema Ali

How U of T researcher Ghazal Fazli is helping identify diabetes earlier – and connecting patients with the follow-up they need Read More

Network for Healthy Populations Visiting Speaker - May 6, 2026

Network for Healthy Populations Seminar Series - April 20, 2026

This study aimed to develop a cluster-based measure of multiple co-occurring social determinants of health by applying unsupervised machine learning t…