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Spatial Patterns of Breast Cancer Risk Associated with Industrial and Environmental Pollutants: A Scoping Review.
Darashagam Nahal1, Abigail Hoffpauir2, Kush Kinariwala2
1College of Public Health, University of North Texas Health, Fort Worth, TX 76107, USA.
Environmental pollutants like pesticides and PAHs are linked to breast cancer risk. More research and policy changes are needed to address these pollution-related health concerns.
Area of Science:
- Environmental Health
- Epidemiology
- Toxicology
Background:
- Breast cancer is a significant global health concern.
- Environmental and industrial exposures are suspected contributors to breast cancer etiology.
- Synthesizing current evidence is crucial for understanding these links.
Purpose of the Study:
- To conduct a scoping review of published evidence linking environmental and industrial exposures to breast cancer.
- To synthesize findings from studies published between 2015 and 2025.
- To identify research gaps and inform future public health strategies.
Main Methods:
- Utilized the Arksey and O'Malley framework for the scoping review.
- Analyzed 51 peer-reviewed studies focusing on study design, evidence quality, pollutant associations, geographic focus, and research gaps.
- Included retrospective designs such as case-control, ecological, cross-sectional, and cohort studies.
Main Results:
- Pesticides, polycyclic aromatic hydrocarbons (PAHs), and polychlorinated biphenyls (PCBs) showed consistent associations with breast cancer.
- Nitrogen oxides (NOx), particulate matter (PM), and endocrine-disrupting chemicals (EDCs) also demonstrated frequent significant associations.
- Evidence quality varied due to methodological limitations, despite large sample sizes in most studies.
Conclusions:
- Accumulating evidence links pollution to increased breast cancer risk, yet the precautionary principle is underutilized.
- Geographic research concentration in North America and Europe limits understanding of global disparities.
- Stronger epidemiological designs, multipollutant models, and policy integration are needed for effective cancer prevention.
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