This study examines spatial disparities and associations between the social deprivationindex (SDI) and Type 2 Diabetes, Dementia, and Heart Failure in Italy’s Lazio Region.The primary goal is to assess how social deprivation impacts health inequalities by analys-ing SDI-disease correlations. This retrospective study uses 2020 socioeconomic data and2021 epidemiological indicators in Lazio Region, Italy. The SDI, constructed followingestablished guidelines, measures social deprivation. Statistical tools, including regressionmodels, Moran’s I test, and LISA techniques, are used to analyse spatial patterns. Uti-lizing a retrospective approach, we merge 2020 socioeconomic and 2021 epidemiologi-cal data for analysis. The SDI is computed using established methods. Spatial disparitiesare explored through regression models, Moran’s I test, and LISA techniques. The studyreveals significant disparities in disease incidence. District V in Rome exhibits high Type 2Diabetes (113.75/1000) and Heart Failure (37.98/1000) rates, while Marcetelli has elevatedDementia incidence (19.74). Southern municipalities face high unemployment (up to 25%),whereas bordering areas have higher education levels (30–60%). Disease hotspots emergein Rome and centre-north municipalities, aligning with social deprivation patterns. Regres-sion models confirm the link between disease incidence and socioeconomic indicators. SDIranges from − 1.31 to + 10.01. This study underscores a correlation between social depriva-tion and disease incidence. Further national-level research is essential to deepen our under-standing of how social deprivation influences health outcomes, with potential implicationsfor addressing health disparities both regionally and nationally.
The Impact of Socio-Economic Conditions on Individuals’ Health: Development of an Index and Examination of its Association with Three of the Most Frequently Registered Diseases in Lazio Region of Italy
Nurchis, Mario Cesare;
2024-01-01
Abstract
This study examines spatial disparities and associations between the social deprivationindex (SDI) and Type 2 Diabetes, Dementia, and Heart Failure in Italy’s Lazio Region.The primary goal is to assess how social deprivation impacts health inequalities by analys-ing SDI-disease correlations. This retrospective study uses 2020 socioeconomic data and2021 epidemiological indicators in Lazio Region, Italy. The SDI, constructed followingestablished guidelines, measures social deprivation. Statistical tools, including regressionmodels, Moran’s I test, and LISA techniques, are used to analyse spatial patterns. Uti-lizing a retrospective approach, we merge 2020 socioeconomic and 2021 epidemiologi-cal data for analysis. The SDI is computed using established methods. Spatial disparitiesare explored through regression models, Moran’s I test, and LISA techniques. The studyreveals significant disparities in disease incidence. District V in Rome exhibits high Type 2Diabetes (113.75/1000) and Heart Failure (37.98/1000) rates, while Marcetelli has elevatedDementia incidence (19.74). Southern municipalities face high unemployment (up to 25%),whereas bordering areas have higher education levels (30–60%). Disease hotspots emergein Rome and centre-north municipalities, aligning with social deprivation patterns. Regres-sion models confirm the link between disease incidence and socioeconomic indicators. SDIranges from − 1.31 to + 10.01. This study underscores a correlation between social depriva-tion and disease incidence. Further national-level research is essential to deepen our under-standing of how social deprivation influences health outcomes, with potential implicationsfor addressing health disparities both regionally and nationally.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


