Title : Longitudinal analysis of suicide mortality in Puerto Rico (2000–2024): Insights from negative binomial regression modeling
Abstract:
Analysis of long-term suicide mortality trends is essential for informing public health strategies and assessing intervention effectiveness. Through this study, a detailed and comprehensive temporal analysis of age-adjusted suicide rates in Puerto Rico from 2000 to 2024 was achieved through the implementation of advanced statistical models that revealed key patterns. Annual suicide counts were modeled using Negative Binomial regression; the log of the population was used as an offset to adjust for population size. Rates were age-adjusted using the direct method; the 2000 U.S population was used as a reference. Trends were visualized with the predicted rates and 95% confidence intervals (CIs), while year-over-year changes were quantified using Rate Ratios (RRs) and their CIs. The analysis revealed a statistically significant decline in suicide mortality across the 25-year period. The regression coefficient for year was β = -0.0083 (p = 0.0036), corresponding to an annual RR of 0.992 (95% CI: 0.986–0.997), a roughly 0.8% average annual decline. These results highlight that the potential benefits of sustained public health efforts may be contributing to the observed reduction in suicide rates. Future work should prioritize epidemiological studies to identify mediating factors that may explain this decline. Strengthening data-driven approaches and maintaining disaggregated surveillance by sex, age, and region remain essential to advancing mental health outcomes across Puerto Rico.
Keywords: Suicide Mortality, Temporal Trends, Puerto Rico, Negative Binomial Regression

