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Detalle de: Rurality, risk factors, and stage at diagnosis in head and neck cancer: insights from a Spanish hospital

Title Rurality, risk factors, and stage at diagnosis in head and neck cancer: insights from a Spanish hospital
Abstract

Background Rural residence has been linked to disparities in cancer risk factors, access to care, and outcomes. In countries with universal healthcare such as Spain, the impact of rurality on head and neck cancer remains poorly characterized. Methods We conducted a retrospective study of 1042 patients discussed at the Head and Neck Tumor Board of a tertiary hospital in Málaga, Spain (2019-2023). Demographic, clinical, and behavioral variables were collected. Rurality was defined according to Spanish legislation (population 2 ). Analyses included chi-square, Kruskal-Wallis, and logistic regression models. Results Rural patients had a higher prevalence of tobacco use (74.8% vs. 66.3%, p = 0.0074) and more severe smoking patterns, especially among men. Advanced-stage tumors were slightly more frequent in rural patients (64.5% vs. 60.6%) without reaching statistical significance (p = 0.6097). No associations were found between rurality and alcohol use, HPV status, or tumor site, while EBV positivity was more frequent in urban patients (p = 0.0235). Conclusions Rural residence was associated with significantly higher tobacco use but not with advanced disease stage at diagnosis. These findings highlight rurality as a social determinant of health and support the need for targeted public health strategies to reduce cancer-related disparities in rural populations.

Apa Reference Cruz, A.P., Moreno, J.M.R., Jiménez, A.G., Martínez, J.C. & de la Peña Fernández, L. (2026). Rurality, risk factors, and stage at diagnosis in head and neck cancer: insights from a Spanish hospital. Cancer Causes & Control, 37(3). 10.1007/S10552-026-02137-0
Doi 10.1007/S10552-026-02137-0
Publication Date 10 Feb 2026
Publication Type Article
Researcher Andres Gonzalez-Jimenez
Ontology Statistical Methods for Biology, Non-parametric statistics, Population dynamics, Clinical data
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