Studies Indicate That Individuals With This Blood Type Have a Higher Likelihood of Living to 100

allowed accurate tracking of diseases and deaths. The analysis used descriptive statistics, logistic regression, and clustering.

Those methods helped compare distributions, estimate odds, and see whether centenarians formed distinct lab profiles. The authors note that “half of the participants were followed for more than 10 years,” which gives room for meaningful patterns to show up. They also adjusted their models for the Charlson Comorbidity Index, which summarizes serious health conditions from hospital records. This adjustment helps separate the lab signals from known disease burdens. The overall design is a strength. It reduces recall bias and uses consistent lab methods on