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Am J Prev Med ; 33(6): 464-70, 2007 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-18022062

RESUMO

BACKGROUND: The differences in occupational and non-occupational injuries between military men and women have not been documented. This study compares occupational and non-occupational injuries between male and female United States Army soldiers by examining injury hospitalization rates and characteristics. METHODS: The U.S. Army's Total Army Injury and Health Outcomes Database was searched for hospitalizations with ICD-9-CM codes for injury (800-959.9) between 1992 and 2002. Injury rates were calculated using yearly U.S. Army population data and compared using rate ratios. Injury characteristics were compared among categories of the Trauma Code (on duty; off duty; scheduled training, schemes, and exercises), stratified by gender. RESULTS: Included in this analysis were 792 women for an injury hospitalization rate of 11.0 per 1000 individuals (95% confidence interval [CI]=8.5-13.5) and 4879 men for a rate of 15.5 per 1000 individuals (95% CI=14.0-16.9). While women had significantly more injuries during scheduled training, schemes, and exercises than men (p<0.0001), there were few differences in the cause of those injuries. Women had longer average hospital stays compared to men due to these injuries (9.3 days vs 7.4 days, p=0.002), although these injuries were not more severe (average Injury Severity Score=3.5 for men vs average ISS for women=3.5, p=0.79). There was no difference between the genders in the percent of injuries that occurred off duty; however, men were more likely to get injured due to sports and athletics (p=0.001) and due to fighting (p=0.017) while off duty compared to women. CONCLUSIONS: Injury prevention messages for military personnel should focus on reducing risk factors for both on- and off-duty injuries.


Assuntos
Acidentes de Trabalho/estatística & dados numéricos , Hospitalização/estatística & dados numéricos , Militares , Ferimentos e Lesões/epidemiologia , Adolescente , Adulto , Estudos Transversais , Bases de Dados Factuais , Feminino , Humanos , Tempo de Internação/estatística & dados numéricos , Masculino , Fatores de Risco , Índice de Gravidade de Doença , Fatores Sexuais , Estados Unidos/epidemiologia
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