Dr. Navigating Mortality in the North-Central Indian Corridor: A Statistical Analysis of Drivers Among Ravidassia Youth (19–30)
A Statistical Analysis of Drivers Among Ravidassia Youth (19–30)
Abstract
Materials & Methods: This cross-sectional study analyses a primary mortality dataset (N=100) documented between 2020 and 2023 across seven North-Central Indian states/UTs. Data was sourced through community-based networks within the Ravidassia community. Descriptive statistics were applied to a subset of 36 individuals aged 19–30 to identify mortality patterns, including accidental, biological, and psychosocial factors.
Findings: Within the youth subset (n=36), the mean age of mortality was 25.36 (sigma = 3.32), with a stark male predominance (86%). Primary causes included External Trauma (n=14), specifically road traffic accidents and agrarian hazards such as electrocution. Fatalities of Undetermined Intent (n=10) and Substance-Related Disorders (n=4) represent significant mortality categories. Furthermore, Disease Complications (n=5), such as early-onset diabetes and Pulmonary tuberculosis—exacerbated by suboptimal clinical management—indicate critical health vulnerabilities. The modal age of 30 represents a mortality concentration accounting for 36% of the total dataset.
Conclusion: The findings reveal a multifaceted public health crisis within the Ravidassia community. High premature mortality, driven by occupational hazards, suboptimal clinical management, and psychosocial stressors, suggests deep-seated structural vulnerabilities. These results underscore the urgent need for enhanced agrarian safety, improved healthcare retention, and community-led health frameworks. Prioritizing these protective environments is essential to mitigate premature loss and safeguard the community’s future potential.
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