title: Incidence and burden of road traffic injuries in urban India.
abstract: BACKGROUND
  The scale of road traffic injuries (RTIs) in India is uncertain because of limitations in the availability and reliability of incidence data.
  
  
  OBJECTIVE
  To report these data for Hyderabad city in southern India.
  
  
  METHODS
  In a cross-sectional population-based survey, 10 459 participants aged 5-49 years (94.3% participation), selected using three-stage systematic cluster sampling, were interviewed. Participants recalled RTIs in the preceding 3 months and RTI-related death and disability in the household in the preceding 3 years. RTI was defined as an injury resulting from a road traffic crash irrespective of the severity.
  
  
  RESULTS
  The age/sex-adjusted annual incidence of non-fatal RTI requiring a recovery period of < or =7, 8-29, and > or =30 days was 13% (95% CI 12.6% to 13.4%), 5.8% (95% CI 5.5% to 6.0%), and 1.2% (95% CI 1.1% to 1.4%), respectively. The overall adjusted rate for non-fatal RTI was 20.7% (95% CI 20.0% to 21.3%). The relative risk of RTI requiring a recovery period of >7 days was significantly higher in the third per capita monthly income quartile (1.24 (95% CI 1.12 to 1.37); p<0.05). The incidence of non-fatal RTI was highest in pedestrians, motorized two-wheeled vehicle users, and cyclists: 6.4, 6.3, and 5.1/100 persons/year, respectively. Annual RTI mortality and disability rates were 38.2 (95% CI 17.5 to 58.8) and 35.1 (95% CI 12.4 to 57.7) per 100,000 population, respectively.
  
  
  CONCLUSIONS
  There is a high burden of RTI in this urban population. With the recent attention focused on RTI by the Government of India, these findings may assist in planning appropriate initiatives to reduce the RTI burden.
authors.affiliation: George Institute for International Health - India, Hyderabad, India. rdandona@george.org.in
authors.forename: R
authors.initials: R
authors.lastname: Dandona
authors.forename: G A
authors.initials: GA
authors.lastname: Kumar
authors.forename: M A
authors.initials: MA
authors.lastname: Ameer
authors.forename: G M
authors.initials: GM
authors.lastname: Ahmed
authors.forename: L
authors.initials: L
authors.lastname: Dandona
mesh_terms: D000063:Accidents, Traffic / Q000706:statistics & numerical data*; D000293:Adolescent; D000328:Adult; D002648:Child; D002675:Child, Preschool; D003430:Cross-Sectional Studies; D006233:Persons with Disabilities / Q000706:statistics & numerical data; D005260:Female; D006801:Humans; D015994:Incidence; D007194:India / Q000453:epidemiology; D008297:Male; D008875:Middle Aged; D014504:Urban Health / Q000706:statistics & numerical data; D014947:Wounds and Injuries / Q000453:epidemiology* / Q000209:etiology