| Modelling Determinants of Deaths Attributable to External Causes Among Adults in India |
| Authors: |
Apyayee Sil, Arpan Sil, and Preeti Dhillon |
| Source: |
Omega, DOI: 10.1177/00302228211009736 |
| Topic(s): |
Adult mortality
Data models
|
| Country: |
Asia
India
|
| Published: |
APR 2021 |
| Abstract: |
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. |
| Web: |
https://pubmed.ncbi.nlm.nih.gov/33832368/ |
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