Moving to a Lower-Poverty Area Linked to Lower Diabetes Risk

Ontario Study Examines Housing Moves and Metabolic Risk

Adults who relocated from high-poverty neighborhoods to lower-poverty areas developed type 2 diabetes at lower rates over two decades. Researchers presented the observational findings at the annual meeting of the European Association for the Study of Diabetes (EASD) in Milan, Italy.

The research team tracked 1,932,869 men and women living in Ontario, Canada, for up to 21 years. Participants had an average age of 42.1 years, approximately 51% were female, and none had diabetes at baseline. All participants initially lived in high-poverty areas where at least 30% of households fell below the after-tax Low-Income Cut-Off (LICO) established by Statistics Canada.

Relocation Correlates with Reduced Type 2 Diabetes Incidence

Moving from a high-poverty neighborhood to a lower-poverty area was associated with a 24% lower rate of type 2 diabetes compared to moving to another high-poverty area. The contrast was larger when compared to remaining in place.

Participants who relocated to lower-poverty areas developed type 2 diabetes at a 57% lower rate than those who did not move. Those who stayed in their original high-poverty neighborhoods developed diabetes at higher rates than those who moved between two high-poverty locations. The study used inverse probability weighting to balance groups across age, sex, immigration background, city size, and neighborhood walkability.

Neighborhood Conditions Shape Daily Metabolic Influences

Built environments alter daily exposure to physical activity options, food availability, and physical stressors. Lead researcher Sharmin Majumder of the University of Toronto noted that lower-poverty neighborhoods often provide distinct structural resources.

These community differences include access to affordable grocery retailers, safe green spaces, and neighborhood walkability. Lower-poverty areas may also carry lower exposure to traffic noise and air pollution. The study was not designed to isolate which specific environmental factor explains the difference in diabetes rates.

Study Design Leaves Unmeasured Behavioral Differences

Observational records cannot fully account for personal traits that prompt an individual to relocate. People who move may differ from non-movers in health awareness, financial stability, or employment changes that registries do not capture.

The researchers emphasized that the gap between movers and non-movers requires cautious interpretation. While individuals cannot always choose their neighborhood, patients can speak with a clinician about local community programs and practical steps to support metabolic health.