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June 12, 2026Diabetes

Mean DM prevalence across districts was 7.61%, with a very strong positive association with cardiovascular diseases at the district level (r=0.9774, p<0.001).

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Population

Population of 7 districts and 132 municipalities in the Como area

Design

Cross-sectional

Authors

SMStefano MassariniMBMARIA BIANCHIGCGiuseppe Catanoso

Discussion

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Overview

Prevalence estimates from ecological data should not guide practice; leaves open confirmation of local socioeconomic determinants.

Key Points

  • This research aimed to assess the prevalence of type 2 diabetes and identify local determinants in the Como area.
  • Conducted an ecological analysis using data from 7 districts and 132 municipalities.
  • Calculated diabetes prevalence and used linear regression to assess associations with demographic and socioeconomic factors.
  • The mean diabetes prevalence was 7.61% across districts, strongly associated with cardiovascular diseases (r=0.9774, p<0.001).
  • Positive associations found between diabetes prevalence and factors like aging and structural dependency (all p<0.05).
  • Inversely associated with university education (p<0.001), while no significant links were found with nephropathy or unemployment.

Structured PICO

P
Population
Population of 7 districts and 132 municipalities in the Como area
O
Outcome
Diabetes prevalence and its ecological associations with demographic, socioeconomic, and clinical factors

Urban diabetes prevalence is strongly associated with cardiovascular disease burden, population aging, and socioeconomic factors, highlighting the need for place-based prevention strategies.

Cite This Study

Massarini et al. (2026) studied this question.

synapsesocial.com/papers/6a2bd11d6550ea4541ffe91ehttps://doi.org/10.2337/db26-2052-p
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Urban Accessibility or Social Inequality? A Multilevel Spatial Analysis of Built Environments and Type 2 Diabetes in Milan2025
  2. 2The Community Empowerment Approach to Diabetes Prevention in Urban Areas2025
  3. 32994-LB: Using Address-Level Discrete Social Determinants of Health (SDOH) to Predict Diabetes Prevalence in Maryland2026
  4. 4Undiagnosed diabetes mellitus among older adults: a harmonized cross-country analysis of prevalence, regional disparities and risk factors in 11 European countries and Israel2025
  5. 52361-P: Rural–Urban Differences in Diabetes and Obesity Prevalence in the United States, 2018–20242026