Trial by fire: a multivariate examination of the relation between job tenure and work injuries

Aims: This study examined the relation between months on the job and lost-time claim rates, with a particular focus on age related differences. Methods: Workers’ compensation records and labour force survey data were used to compute claim rates per 1000 full time equivalents. To adjust for potential...

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Published in:Occupational and environmental medicine (London, England) Vol. 63; no. 1; pp. 27 - 32
Main Authors: Breslin, F C, Smith, P
Format: Journal Article
Language:English
Published: London BMJ Publishing Group Ltd 01-01-2006
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Abstract Aims: This study examined the relation between months on the job and lost-time claim rates, with a particular focus on age related differences. Methods: Workers’ compensation records and labour force survey data were used to compute claim rates per 1000 full time equivalents. To adjust for potential confounding, multivariate analyses included age, sex, occupation, and industry, as well job tenure as predictors of claim rates. Results: At any age, the claim rates decline as time on the job increases. For example, workers in the first month on the job were over four times more likely to have a lost-time claim than workers with over one year in their current job. The job tenure injury associations were stronger among males, the goods industry, manual occupations, and older adult workers. Conclusions: The present results suggest that all worker subgroups examined show increased risk when new on the job. Recommendations for improving this situation include earlier training, starting workers in low hazard conditions, reducing job turnover rates in firms, and improved monitoring of hazard exposures that new workers encounter.
AbstractList Aims: This study examined the relation between months on the job and lost-time claim rates, with a particular focus on age related differences. Methods: Workers’ compensation records and labour force survey data were used to compute claim rates per 1000 full time equivalents. To adjust for potential confounding, multivariate analyses included age, sex, occupation, and industry, as well job tenure as predictors of claim rates. Results: At any age, the claim rates decline as time on the job increases. For example, workers in the first month on the job were over four times more likely to have a lost-time claim than workers with over one year in their current job. The job tenure injury associations were stronger among males, the goods industry, manual occupations, and older adult workers. Conclusions: The present results suggest that all worker subgroups examined show increased risk when new on the job. Recommendations for improving this situation include earlier training, starting workers in low hazard conditions, reducing job turnover rates in firms, and improved monitoring of hazard exposures that new workers encounter.
AIMS: This study examined the relation between months on the job and lost-time claim rates, with a particular focus on age related differences. METHODS: Workers' compensation records and labour force survey data were used to compute claim rates per 1000 full time equivalents. To adjust for potential confounding, multivariate analyses included age, sex, occupation, and industry, as well job tenure as predictors of claim rates. RESULTS: At any age, the claim rates decline as time on the job increases. For example, workers in the first month on the job were over four times more likely to have a lost-time claim than workers with over one year in their current job. The job tenure injury associations were stronger among males, the goods industry, manual occupations, and older adult workers. CONCLUSIONS: The present results suggest that all worker subgroups examined show increased risk when new on the job. Recommendations for improving this situation include earlier training, starting workers in low hazard conditions, reducing job turnover rates in firms, and improved monitoring of hazard exposures that new workers encounter.
This study examined the relation between months on the job and lost-time claim rates, with a particular focus on age related differences. Workers' compensation records and labour force survey data were used to compute claim rates per 1000 full time equivalents. To adjust for potential confounding, multivariate analyses included age, sex, occupation, and industry, as well job tenure as predictors of claim rates. At any age, the claim rates decline as time on the job increases. For example, workers in the first month on the job were over four times more likely to have a lost-time claim than workers with over one year in their current job. The job tenure injury associations were stronger among males, the goods industry, manual occupations, and older adult workers. The present results suggest that all worker subgroups examined show increased risk when new on the job. Recommendations for improving this situation include earlier training, starting workers in low hazard conditions, reducing job turnover rates in firms, and improved monitoring of hazard exposures that new workers encounter.
Author Smith, P
Breslin, F C
AuthorAffiliation F C Breslin , P Smith , Institute for Work & Health, Toronto, Canada
P Smith , Institute for Medical Science, University of Toronto, Canada
F C Breslin , Department of Public Health Sciences, University of Toronto, Canada
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  organization: Institute for Medical Science, University of Toronto, Canada
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Snippet Aims: This study examined the relation between months on the job and lost-time claim rates, with a particular focus on age related differences. Methods:...
This study examined the relation between months on the job and lost-time claim rates, with a particular focus on age related differences. Workers' compensation...
Aims: This study examined the relation between months on the job and lost-time claim rates, with a particular focus on age related differences. Methods:...
AIMS: This study examined the relation between months on the job and lost-time claim rates, with a particular focus on age related differences. METHODS:...
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SubjectTerms Accidents, Occupational - prevention & control
Accidents, Occupational - statistics & numerical data
Adolescent
adolescents
Adult
Age
age differences
Age Factors
Age groups
Biological and medical sciences
Classification
Employment
Female
Humans
Industrial products
Industry
Injuries
Job tenure
Labor force
Male
Mandatory insurance coverage
Manual workers
Medical sciences
Middle Aged
Miscellaneous
Multivariate Analysis
Occupational hazards
occupational injuries
Occupational medicine
Occupations
Older people
Ontario - epidemiology
Original
Physical trauma
Professional Competence
Public health. Hygiene-occupational medicine
risk factors
Sex industry
Tenure
Time Factors
Workers compensation
Workers compensation insurance
Workers' Compensation - statistics & numerical data
Wounds and Injuries - epidemiology
Wounds and Injuries - etiology
Wounds and Injuries - prevention & control
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Title Trial by fire: a multivariate examination of the relation between job tenure and work injuries
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