Geographical variability in cancer incidence explained by the socioeconomic environment

An example of lung cancer in northwestern France

Bibliographic Data

ID11179864
AuthorsPauline Pouchin (0009-0000-1498-2760, Anticipe Unit, Caen, France, corresponding author), Michaël Génin (0000-0002-9098-7528, CHU Lille, ULR 2694 - METRICS : Évaluation des technologies de santé et des pratiques médicales, University of Lille, Lille, France), Genin Michaël (Université de Lille), Simona Bara (Manche Cancer Registry, Cotentin Public Hospital Centre, Cherbourg-Octeville, France), Simona Bățagă (0000-0003-0662-3850, Centre Hospitalier Public du Cotentin), Nicolas Vigneron (Anticipe Unit, Caen, France), Guy Launoy (0000-0002-7052-0242, Anticipe Unit, Caen, France), Joséphine Bryère (0000-0002-4842-9979, Anticipe Unit, Caen, France)
Year2025
Volume79
Issue3
Pages200-206
Publication date2025-03-01
Open AccessYes
TypeARTICLE
VenueJournal of Epidemiology and Community Health (JOURNAL)
Journal identifiersISSN: 0143-005X • E-ISSN: 1470-2738
PublisherBMJ (PUBLISHER • GB)
DOI10.1136/jech-2024-222704
PMID39486869
OpenAlexW4403980102
LanguageEN
References cited29

BACKGROUND: The incidence of lung cancer is unequally distributed in France. Although several studies have shown a link between the socioeconomic environment of populations and the incidence of cancer, the contribution has not been quantified. We aimed to analyse the geographical variability of lung cancer incidence in Normandy and calculate the proportion explained by the socioeconomic environment. METHODS: We included 7665 lung cancer cases recorded in the General Tumor Registry of Calvados and the Cancer Registry of Manche. A Bayesian model was used to map the spatial variation in the incidence of lung cancer in the territory, and an innovative approach was used to evaluate the influence of geographical variability in the socioeconomic environment on the spatial heterogeneity of lung cancer incidence. RESULTS: The maps of the spatial components showed high contrasts for both genders, and the socioeconomic environment integration in the model made the maps less contrasting. The socioeconomic environment of the population explained one-third of the spatial variation in the incidence of lung cancer in women and one-fifth in men. CONCLUSION: The results showed that a non-negligible part of the spatial variation in the incidence of lung cancer could be explained by the geographical distribution of the socioeconomic environment

Cancer · Cancer incidence · Environmental health · Geography · Incidence (geometry) · Lung cancer · Population · Socioeconomic status · Sociology · Data-Driven Disease Surveillance · Demography · Global Cancer Incidence and Screening · Internal Medicine · Mathematics · Medicine · Multiple and Secondary Primary Cancers · Oncology