[Severe open-globe eye injuries: socio-demographic aspects and risk factors]

Medicina (Kaunas). 2007;43(8):637-46.
[Article in Lithuanian]

Abstract

The aim of study: To evaluate sociodemographic aspects and risk factors of severe open-globe ocular injuries.

Material and methods: We present data from prospective study of 315 patients with severe open-globe ocular injuries, meeting inclusion criteria.

Results: The patients in our series were predominantly male (92.70%). The male to female ratio was 12.7:1. Almost 27% of the patients were from the age group of 30-39 years. Home (53.65%), streets and highways (19.05%) were the most common place of injury, followed by industrial premises (11.11%), agricultural activities (8.25%), recreation and sports (5.40%); 15.56% of cases were work-related. Sharp objects (43.17%) and hammering on metal (24.44%) were the two major causes of injury. Alcohol intoxication was observed in 13.65% of cases. Severe open-globe eye injuries were classified into four categories: penetrating injuries (56.83%), perforating injuries (2.54%), globe ruptures (12.38 %), and IOFB injuries (28.25%). Males suffered significantly more often than females in the age of 20-29 (OR=1.39+/-95% CI 1.10-1.75, P<0.01) and 30-39-year (OR=1.75+/-95% PI 1.45-2.22, P<0.01). Risk factors of severe open-globe eye injuries for male gender were living in urban setting (P=0.001), alcohol use (P=0.001), occupation--unemployed (P=0.001) and retired persons (P=0.011).

Conclusions: Risk factors for male gender to sustain severe open-globe eye injury were living in urban setting, alcohol use, and occupation (unemployed and retired persons).

Publication types

  • Comparative Study
  • Evaluation Study

MeSH terms

  • Accidents, Home
  • Adult
  • Aged
  • Aged, 80 and over
  • Alcohol Drinking
  • Chi-Square Distribution
  • Data Interpretation, Statistical
  • Eye Injuries / epidemiology*
  • Eye Injuries, Penetrating / epidemiology
  • Female
  • Humans
  • Lithuania / epidemiology
  • Male
  • Middle Aged
  • Occupations
  • Risk Factors
  • Rural Population
  • Sex Factors
  • Socioeconomic Factors
  • Urban Population