Beyond Biology: Uncovering Structural and Sociocultural Predictors of Breast Cancer Incidence Worldwide

Breast cancer remains a leading cause of global cancer burden, with marked differences in incidence across countries. While biological risk factors are well established, understanding the broader structural and sociocultural influences has been less comprehensive. In this study, we analyzed harmonized data from 183 countries (2017-2023), encompassing 33 variables and 7 subvariables related to demographics, nutrition, environment, health, and healthcare access, drawn from open-access international databases. Spearman correlation analysis identified strong positive associations between breast cancer incidence and discontinued breastfeeding, high LDL cholesterol, out-of-pocket healthcare expenditure, and educational attainment. Conversely, poor sanitation, lack of handwashing facilities, unsafe water, and certain nutritional deficiencies exhibited robust negative correlations, likely reflecting under detection and reporting limitations in lower-resource settings rather than true protective effects. These findings were further explored using multiple linear regression, which explained approximately 73% of the variance in global breast cancer incidence. The final model highlighted discontinued breastfeeding, prevalence of cocaine use, unsafe sanitation, high out-of-pocket healthcare expenditure, limited handwashing access, and high processed meat consumption as the most influential independent predictors. Receiver operating characteristic (ROC) analysis confirmed strong predictive value for discontinued breastfeeding and out-of-pocket expenditure, with sanitation and hygiene variables showing paradoxical inverse associations. Our results emphasize that breast cancer risk is shaped not only by individual behaviors and genetics, but also by larger-scale structural, socioeconomic, and environmental factors. These patterns suggest that targeted interventions addressing both lifestyle behaviors and systemic inequities-such as promoting breastfeeding, reducing financial barriers to healthcare, and strengthening public health infrastructure-could meaningfully reduce the global burden of breast cancer. In conclusion, this study underscores the importance of multisectoral, equity-focused prevention strategies. It also highlights the value of country-level ecological analyses in uncovering upstream determinants of cancer incidence and calls for further research to disentangle individual and contextual effects in cancer epidemiology.

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Publication Details

Journal
Current Oncology
Published
2025-10-02
DOI
https://doi.org/10.3390/curroncol32100553
Primary Topic
Global Cancer Incidence and Screening
Type
article
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article

Beyond Biology: Uncovering Structural and Sociocultural Predictors of Breast Cancer Incidence Worldwide

Josuel Delgado‐Enciso, Karmina Sánchez‐Meza, Ana C. Espíritu-Mojarro, Iván Delgado‐Enciso et al.
Current Oncology
Global Cancer Incidence and Screening
article

Beyond Biology: Uncovering Structural and Sociocultural Predictors of Breast Cancer Incidence Worldwide

Josuel Delgado‐Enciso, Karmina Sánchez‐Meza, Ana C. Espíritu-Mojarro, Iván Delgado‐Enciso, José Guzmán-Esquivel, Gustavo A. Hernández‐Fuentes, Mario Ramírez-Flores, Carmen A. Sánchez-Ramírez, Osval Antonio Montesinos-López, Janet Diaz‐Martinez, Fabián Rojas‐Larios, Alejandrina Rodríguez‐Hernández, Mario A. Alcalá-Pérez, Isaac Jiménez-Calvo
article en

Abstract

Breast cancer remains a leading cause of global cancer burden, with marked differences in incidence across countries. While biological risk factors are well established, understanding the broader structural and sociocultural influences has been less comprehensive. In this study, we analyzed harmonized data from 183 countries (2017-2023), encompassing 33 variables and 7 subvariables related to demographics, nutrition, environment, health, and healthcare access, drawn from open-access international databases. Spearman correlation analysis identified strong positive associations between breast cancer incidence and discontinued breastfeeding, high LDL cholesterol, out-of-pocket healthcare expenditure, and educational attainment. Conversely, poor sanitation, lack of handwashing facilities, unsafe water, and certain nutritional deficiencies exhibited robust negative correlations, likely reflecting under detection and reporting limitations in lower-resource settings rather than true protective effects. These findings were further explored using multiple linear regression, which explained approximately 73% of the variance in global breast cancer incidence. The final model highlighted discontinued breastfeeding, prevalence of cocaine use, unsafe sanitation, high out-of-pocket healthcare expenditure, limited handwashing access, and high processed meat consumption as the most influential independent predictors. Receiver operating characteristic (ROC) analysis confirmed strong predictive value for discontinued breastfeeding and out-of-pocket expenditure, with sanitation and hygiene variables showing paradoxical inverse associations. Our results emphasize that breast cancer risk is shaped not only by individual behaviors and genetics, but also by larger-scale structural, socioeconomic, and environmental factors. These patterns suggest that targeted interventions addressing both lifestyle behaviors and systemic inequities-such as promoting breastfeeding, reducing financial barriers to healthcare, and strengthening public health infrastructure-could meaningfully reduce the global burden of breast cancer. In conclusion, this study underscores the importance of multisectoral, equity-focused prevention strategies. It also highlights the value of country-level ecological analyses in uncovering upstream determinants of cancer incidence and calls for further research to disentangle individual and contextual effects in cancer epidemiology.

Current OncologyVol. 32(10)
Mexican Social Security Institute (MX), Florida International University (US), Universidad Autónoma de Zacatecas "Francisco García Salinas" (MX), Universidad de Colima (MX)
Openalex Percentile: Top 63%
Global Cancer Incidence and Screening
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