How do territorial characteristics affect spatial inequalities in the risk of coronary heart disease?

Delphine Brousmiche1, Caroline Lanier2, Damien Cuny3

  • 1Univ. Lille, Univ. Artois, IMT Lille Douai, JUNIA, ULR 4515 - LGCgE, Laboratoire de Génie Civil et Géo-Environnement, F-59000 Lille, France; Association pour la Prévention de la Pollution Atmosphérique, F-59120 Loos, France.

Insights

This study identified three distinct territorial profiles linked to coronary heart disease (CHD) incidence. Some areas showed favorable conditions, while others, marked by deprivation or varied factors, had higher CHD rates, informing public health strategies.

Area of Science:

  • Environmental Health
  • Cardiology
  • Public Health Policy

Background:

  • Cardiovascular diseases (CVDs) are a leading global cause of death, with coronary heart diseases (CHDs) being most prevalent.
  • CHD etiology is multifactorial, influenced by individual, behavioral, and territorial determinants.
  • Assessing territorial characteristics is crucial for understanding CHD incidence.

Purpose of the Study:

  • To establish complex territorial profiles in a densely populated, high-pollution area in Northern France.
  • To identify determinants with beneficial or deleterious effects on cardiovascular health.
  • To link standardized incidence rates of CHD to distinct territorial profiles.

Main Methods:

  • Utilized 44 variables across economic, social, health, environmental, and service dimensions.
  • Described multidimensional characteristics impacting cardiovascular health.
  • Characterized territorial profiles using age- and gender-adjusted standardized incidence rates (SIR) for CHD.

Main Results:

  • Three distinct territorial profiles for CHD incidence were identified.
  • Profile 1 exhibited a favorable SIR (0.895) with beneficial territorial conditions.
  • Profiles 2 (SIR 1.225) and 3 (SIR 1.119) showed higher CHD incidence, with dissimilar characteristics like deprivation, vegetation, pollution, and population privilege.

Conclusions:

  • The methodology effectively characterized multidimensional determinants of cardiovascular health.
  • Identified factors with negative and positive impacts on cardiovascular health.
  • Provides a diagnostic tool for implementing contextualized public health policies to prevent CHD.
Abstract

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