Predictors of first nonfatal occupational injury following employment in aBrazilian steelworks

Citation
Sm. Barreto et al., Predictors of first nonfatal occupational injury following employment in aBrazilian steelworks, SC J WORK E, 26(6), 2000, pp. 523-528
Citations number
20
Categorie Soggetti
Envirnomentale Medicine & Public Health
Journal title
SCANDINAVIAN JOURNAL OF WORK ENVIRONMENT & HEALTH
ISSN journal
03553140 → ACNP
Volume
26
Issue
6
Year of publication
2000
Pages
523 - 528
Database
ISI
SICI code
0355-3140(200012)26:6<523:POFNOI>2.0.ZU;2-A
Abstract
Objectives This study investigated the influence of sociodemographic and oc cupational factors on the risk of Ist injury among Brazilian steelworkers. Methods Workers Ist employed between 1 January 1977 and 31 December 1985 an d still employed on 1 December 1983 were followed from the date of hire unt il 30 October 1992. Occupational injuries were ascertained from a database. Kaplan-Meier curves for time to Ist injury were calculated for the total c ohort and for different subgroups. A multivariate analysis of risk factors for Ist injury was carried out using the Cox proportional hazards regressio n model. Results Forty-one percent of the workers had greater than or equal to1 occu pational injuries, and 39% of Ist injuries occurred in the Ist year of empl oyment. Lacerations, contusions, penetration by foreign bodies, bums, sprai ns, and fractures constituted the main diagnostic groups. Injuries to the h ands, eyes, feet, arms, and legs dominated. Over 5% of the injured workers were on temporary disability leave (cumulative total 10 660 days). The prob ability for an occupational injury was 16% for the Ist year, rising to 25% in the 2nd year. The risk of nonfatal injury was highest for laborers [haza rd ratio (HR) 1.76, 95% confidence interval (95% CT) 1.35-2.29] and employe es in the steel mill (HR 1.40, 95% CI 1.21-1.63), and inversely related to worker age and educational level. The risk of injury decreased significantl y with calendar period of employment. Conclusions Substantial reductions in nonfatal injuries may reflect changes in work organization, increased automation, and improved safety standards. Knowledge of predictors of work-related injury may contribute to injury pr evention strategies, especially among newly employed workers.