Abstract
This study examines the spatial and temporal evolution of obesity among adults in Italian regions. In Italy, regional administrative areas are responsible for providing health services. Moreover, Italian regions present different socioeconomic conditions and health and nutritional habits. As a result, a regional analysis of the spatiotemporal evolution of obesity allows the identification of key areas for prevention and control, enabling the design of more targeted and effective interventions. In this study, the geographic clustering of obesity in Italy was explored by analyzing the local spatial autocorrelation of regional-level prevalence rates of adulthood obesity between 2010 and 2022, updating and expanding the existing literature. Data from the Health For All repository are analyzed to determine distribution patterns and trends, employing choropleth maps, Moran’s Index and Welch’s t-test. Gender inequalities have been underlined both in the spatial and temporal distribution. Results show that obesity exhibits spatial clustering, with greater severity in the south. During the period under analysis, obesity prevalence rates in Italy show a tendency to grow, with a sharp increase during the COVID-19 lockdown.
Published Version
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