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      Determinants of Occupational Injury: A Case Control Study among Textile Factory Workers in Amhara Regional State, Ethiopia

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          Abstract

          Background. Occupational injuries pose major public health and socioeconomic developmental problems. However, efforts towards investigation of determinants among factory workers are very minimal in developing countries. Thus, this study aimed at to identify determinants of occupational injury among textile factory workers in Amahara regional state in Ethiopia. Methods. A case control study was done among 456 textile factory workers (152 cases and 304 controls). Self-reported data from workers and document review from factories clinics were used to ascertain occupational injury status within one-year period. Data was collected using pretested and structured questionnaire by trained data collectors. Odds ratio with 95% confidence interval was used to assess level significance. Results. Young age (<30 years) (AOR 1.90, 95% CI (1.22, 2.94)), male gender (AOR 2.54, 95% CI (1.58, 4.07)), health and safety training (AOR 1.85, 95% CI (1.17, 2.91)), sleeping disturbance (AOR 1.99, 95% CI (1.30, 3.04)), and job stress (AOR 2.25, 95% CI (1.15, 4.41)) were significant predictors of occupation injury. Conclusion. Lack of training, sleeping disturbance, and job stress increased the risk of occupational injury. So, providing basic health and safety training with special emphasis on younger and male workers, reducing stressors, and providing sleep health education were recommended.

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          Relationships of job and some individual characteristics to occupational injuries in employed people: a community-based study.

          This study assessed the associations of job and some individual factors with occupational injuries among employed people from a general population in north-eastern France; 2,562 workers were randomly selected from the working population. A mailed auto-questionnaire was filled in by each subject. Statistical analysis was performed with loglinear models. The annual incidence rate of at least one occupational injury was 4.45%. Significant contributing factors for occupational injuries were job category (60.8%), sex (16.2%), regular psychotropic drug use (8.5%), age groups (7.5%), and presence of a disease (7.0%). The men had higher risk than the women (adjusted odds-ratio 1.99, 95% CI 1.43-2.78). Compared to executives, intellectual professionals and teachers, labourers had the highest risk (6.40, 3.55-11.52). They were followed by farmers, craftsmen and tradesmen (6.18, 2.86-13.08), technicians (3.14, 1.41-6.70), employees (2.94, 1.59-5.48) and other subjects (3.87, 1.90-7.88). The young (< or = 29 yr) showed an increased risk. Similar odds-ratios were observed for regular psychotropic drug use (1.54, 1.16-2.05) and the presence of a disease (1.50, 1.11-2.02). Univariate analysis showed that smoking habit, overweight and excess alcohol use were also associated with injuries. The loglinear model results showed that there were associations between some of these independent factors. It was concluded that job, sex, young age, smoking habit, excess alcohol use, overweight, psychotropic drug use, and disease influenced the occupational injuries. Preventive measures concerning work conditions, risk assessment and job knowledge should be conducted in overall active population, especially in men, young workers, smokers, alcohol users, overweight workers and in individuals with a disease or psychosomatic disorders.
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            Relationships of working conditions and individual characteristics to occupational injuries: a case-control study in coal miners.

            This study assessed the relationship of age, poor perception of working condition, poor safety environment, poor management and supervision, risk-taking behavior, emotional instability, negative job involvement, job dissatisfaction, job stress, and poor safety performance of workers to occupational injuries. This case-control study was conducted on 202 male coal miners with at least one occupational injury during a five-year period and 202 male controls with no occupational injury, matched on the job. A standardized questionnaire administered by individual interviewers was used. Data were analysed by the logistic regression method. For all workers combined, the factors with significant adjusted odds ratios (ORs) found were: 30-45 and >45 yr age groups (OR vs. <30 yr age group: 1.80, 95% CI 1.02-3.17 and 2.59, 1.38-4.85 respectively), poor perception of working conditions (1.61, CI 1.00-3.18), emotional instability (2.33, 1.04-5.22), job stress (1.83, 1.00-3.46) and poor safety performance of workers (3.10, 1.45-6.63). No significant interaction was found between these risk factors and the job. It was concluded that older age, poor perception of work conditions, poor work environment, and human behavioral factors played significant roles in occupational injuries. This information would help in implementing preventive programs to improve working conditions and management quality and to help the workers to develop positive psychological traits, but workers with negative traits such as emotional instability and older workers should be employed in less demanding jobs.
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              Comparison of unintentional fatal occupational injuries in the Republic of Korea and the United States.

              To compare the profile of unintentional fatal occupational injuries in the Republic of Korea and the United States to help establish prevention strategies for Korea and to understand country specific differences in fatality risks in different industries. Occupational fatal injury data from 1998-2001 were collected from Korea's Occupational Safety and Health Agency's Survey of Causes of Occupational Injuries (identified by the Korea Labor Welfare Corporation) and from the United States Census of Fatal Occupational Injuries. Employment estimates were obtained in both countries. Industry coding and external cause of death coding were standardized. Descriptive analyses of injury rates and Poisson regression models to examine time trends were conducted. Korea exhibited a significantly higher fatal injury rate, at least two times higher than the United States, after accounting for different employment patterns. The ordering of industries with respect to risk is the same in the two countries, with mining, agriculture/forestry/fishing, and construction being the most dangerous. Fatal injury rates are decreasing in these two countries, although at a faster rate in Korea. Understanding industrial practices within different countries is critical for fully understanding country specific occupational injury statistics. However, differences in surveillance systems and employment estimation methods serve as caveats to any transnational comparison, and need to be harmonized to the fullest extent possible.
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                Author and article information

                Journal
                J Trop Med
                JTM
                Journal of Tropical Medicine
                Hindawi Publishing Corporation
                1687-9686
                1687-9694
                2011
                11 December 2011
                : 2011
                : 657275
                Affiliations
                1Public Health Department, College of Health Sciences, Debre Markos University, P.O. Box 269, Debre Markos, Ethiopia
                2School of Public Health, University of Gondar, P.O. Box 269, Gondar, Ethiopia
                Author notes

                Academic Editor: Luis E. Cuevas

                Article
                10.1155/2011/657275
                3235897
                22174723
                09a15a05-7cea-42eb-af0e-5a370c1d9774
                Copyright © 2011 Zewdie Aderaw et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 12 August 2011
                : 27 October 2011
                : 1 November 2011
                Categories
                Clinical Study

                Infectious disease & Microbiology
                Infectious disease & Microbiology

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