I Criteri di Causalità di Bradford Hill

The strength criterion refers to the magnitude of association between a factor and an outcome. A stronger association indicates higher likelihood of causality. For example, smokers have significantly higher lung cancer risk than non-smokers, demonstrating a robust association that suggests a causal relationship between smoking and lung cancer.

Consistency means the association has been repeatedly observed by different investigators across various settings and circumstances. When multiple independent studies worldwide consistently link smoking to lung cancer, this reinforces the likelihood that the relationship is truly causal rather than coincidental or study-specific.

Specificity occurs when a specific cause is associated with a specific effect, establishing a one-to-one relationship. The bacterium Bacillus anthracis causing anthrax exemplifies this criterion, as this particular causative agent is specifically linked to this particular disease, not to multiple unrelated conditions.

Temporality requires that the cause must precede the effect in time. For instance, asbestos exposure must occur before mesothelioma development. Without temporal precedence, a factor cannot be considered causal, as an effect cannot logically precede its cause. This principle is fundamental to causal inference.

These criteria provide a framework for evaluating causal relationships in epidemiological studies. When strength, consistency, specificity, and temporality are applied together, they offer a robust approach to discerning possible causal relationships and guiding researchers in understanding complex interactions between factors and health outcomes.

Association describes a statistical relationship between two variables, while causality implies that one factor directly causes the other. The Bradford Hill criteria help distinguish true causal relationships from mere associations by applying rigorous standards like strength, consistency, specificity, and temporal sequence.

A single study alone cannot fully establish causality, particularly regarding the consistency criterion, which requires repeated observations across different settings and investigators. Multiple independent studies strengthening the evidence across all four criteria provide more compelling support for a causal relationship than any single investigation.