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Modelling Determinants of Deaths Attributable to External Causes Among Adults in India.

Apyayee SilArpan SilPreeti Dhillon
Published in: Omega (2021)
The study aimed at finding the risk factors associated with adult mortality (15-59 years) due to external causes (accidents, suicide, poisoning, homicide, and violence). Using National Family Health Survey data-4 consisting of 1,756,867 sample, we applied a Robust Poisson Regression Model to determine the potential risk factors. Findings suggest that the highest proportion of deaths due to external causes was in the age group 20-24 years. The prevalence of these deaths was higher among older adults (age 50 years and above). The risk was more among males (Incident Rate Ratio (IRR) for females is: 0.29, p < 0.001), rural residents (IRR: 1.16, p < 0.001), exposed to mass-media (IRR: 1.08, p < 0.05), residing in female-headed households, in households having a member with higher education. This risk decreased for large families (IRR: 0.89, p < .001). A need to strengthen awareness and mentorship programs for young-adults and middle-aged people to control such avoidable deaths is recommended.
Keyphrases
  • risk factors
  • young adults
  • middle aged
  • quality improvement
  • healthcare
  • public health
  • south africa
  • type diabetes
  • big data
  • climate change
  • artificial intelligence