Abstract
Background Thoracic vertebral fractures are clinically important due to their association with the thoracic spinal cord and the potential to cause devastating neurological injury. Using the National Electronic Injury Surveillance System (NEISS) data, this study investigated fracture patterns to understand associated factors to improve prevention strategies. We explored different factors associated with thoracic vertebral fractures to improve our understanding of preventative strategies and patient care standards, focusing on spatial distribution, sex-age dynamics, and location of injury. Methodology This retrospective, cross-sectional study examines thoracic vertebral fractures across diverse age groups from 2013 to 2022, utilizing the NEISS database from the U.S. Consumer Product Safety Commission. Inclusion criteria based on specific terms related to thoracic fractures were employed. Descriptive statistics illustrated fracture distribution by age groups and associated products. Statistical analyses, including chi-square tests and multivariate logistic regressions, were conducted to explore associations between fracture occurrence, locations, products, age, and gender. Results The analysis of thoracic vertebral fractures by location and associated products yielded several statistically significant findings. Notably, the prevalence of fractures at home (39.67%) was significantly higher than in other locations, and these differences in fracture distribution were statistically significant (χ² = 7.34, p < 0.001). Among the associated products, ladders (10.46%) emerged as the most frequent product associated with fractures. Multivariate logistic regression analysis showed that the age groups of 41-50, 51-60, and 61-70 had increased odds of fractures with adjusted odds ratios (AORs) of 1.08 (95% confidence interval (CI) = 1.04-1.42, p < 0.05), 1.21 (95% CI = 1.13-1.56, p < 0.001), and 1.17 (95% CI = 1.08-1.39, p < 0.001), respectively. The likelihood of thoracic vertebral fractures did not significantly differ between males and females (AOR = 1.12, 95% CI = 0.87-1.53, p = 0.262). Fracture distribution by age groups and products indicated increasing ladder-related fractures within the 41-50 age group and 51-60 age group. Football-related fractures peaked within the 21-30 age group. Fracture distribution patterns for bicycles had increased prevalence within the 11-20 and 21-30 age groups, and football-related fractures in younger age groups. Conclusions This study analyzed factors associated with thoracic vertebral fractures, showing the significance of targeted preventative interventions, such as earlier screening, physical therapy, and nutritional status assessment, in the setting of significant location and age-related susceptibilities. The observed patterns of injury provide a foundation for future research to elucidate the underlying mechanisms between different environments and the likelihood of injury to improve preventive strategies.