Work-related hand and lower-arm injuries in New Zealand, 1979 to 1988

Burridge, Julie D.; Laing, R. M.

doi:10.1111/j.1467-842x.1997.tb01734.x

Cited by 7 publications

(5 citation statements)

References 4 publications

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“…They also found that the highest injury rate occurred among the machine operators. In another study by Burridge and colleagues [36], who studied work-related hand and lower-arm injuries in New Zealand sawmill workers, piercing and cutting instruments and machinery were reported to be the two most common agents.…”

Section: Discussionmentioning

confidence: 97%

Epidemiology of work-related injuries requiring hospitalization among sawmill workers in British Columbia, 1989–1997

et al. 2007

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This study describes hospitalized injuries among workers in British Columbia lumber industry. Between April 1989 and December 1997, from the hospital records of 5,745 male sawmill workers were analyzed for the present study. Work relatedness was determined using either ICD-9 external cause of injury codes, which have a digit-indicating place of occurrence, or a payment field, which can identify workers compensation agency. Poisson regression models were used to analyze differences in hospitalization rates across race, job category, age group, and calendar year. The crude and adjusted rate ratios were calculated along with the 95% confidence intervals (CIs). During the follow-up period, there were 164 work related hospitalization resulting in a rate for work-related hospitalization of 5.38 per 1,000 person years. The higher rates by nature of injury were for dislocation, sprains & strains, open wounds, and fracture of upper limbs. During the study period, the higher rates of injury by causes were machinery related, falls, and struck against. In the multivariate models, there were no statistically significant relationship of injury risk with age and race. In respect to occupation, compared to foremen/supervisor, other sawmills' workers did not have significantly elevated risk of injury. The trend analyses found a significant negative trend (P = 0.004) of injury risk over the whole study period. Knowing the causes and nature of injury and their related risk factors are helpful to employers, compensation officials, and other stakeholders to target preventive measures.

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Section: Discussionmentioning

confidence: 97%

Epidemiology of work-related injuries requiring hospitalization among sawmill workers in British Columbia, 1989–1997

et al. 2007

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“…Slaughterhouse workers have been identified in occupational health studies for elevated risk of injury, particularly to the upper extremities (mostly due to lacerations) and back injuries [39, 40]. Both backache and wounds were reported by workers.…”

Section: Discussionmentioning

confidence: 99%

“…Both backache and wounds were reported by workers. This trend may be the result of poor work practices and training or a lack of appropriate equipment [40, 41]. A large number of workers consumed alcohol regularly and over 10% appeared intoxicated at work.…”

Section: Discussionmentioning

confidence: 99%

Working conditions and public health risks in slaughterhouses in western Kenya

et al. 2017

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BackgroundInadequate facilities and hygiene at slaughterhouses can result in contamination of meat and occupational hazards to workers. The objectives of this study were to assess current conditions in slaughterhouses in western Kenya and the knowledge, and practices of the slaughterhouse workers toward hygiene and sanitation.MethodsBetween February and October 2012 all consenting slaughterhouses in the study area were recruited. A standardised questionnaire relating to facilities and practices in the slaughterhouse was administered to the foreperson at each site. A second questionnaire was used to capture individual slaughterhouse workers’ knowledge, practices and recent health events.ResultsA total of 738 slaughterhouse workers from 142 slaughterhouses completed questionnaires. Many slaughterhouses had poor infrastructure, 65% (95% CI 63–67%) had a roof, cement floor and walls, 60% (95% CI 57–62%) had a toilet and 20% (95% CI 18–22%) had hand-washing facilities. The meat inspector visited 90% (95% CI 92–95%) of slaughterhouses but antemortem inspection was practiced at only 7% (95% CI 6–8%). Nine percent (95% CI 7–10%) of slaughterhouses slaughtered sick animals. Only half of workers wore personal protective clothing - 53% (95% CI 51–55%) wore protective coats and 49% (95% CI 46–51%) wore rubber boots. Knowledge of zoonotic disease was low with only 31% (95% CI 29–33%) of workers aware that disease could be transmitted from animals.ConclusionsThe current working conditions in slaughterhouses in western Kenya are not in line with the recommendations of the Meat Control Act of Kenya. Current facilities and practices may increase occupational exposure to disease or injury and contaminated meat may enter the consumer market. The findings of this study could enable the development of appropriate interventions to minimise public health risks. Initially, improvements need to be made to facilities and practices to improve worker safety and reduce the risk of food contamination. Simultaneously, training programmes should target workers and inspectors to improve awareness of the risks. In addition, education of health care workers should highlight the increased risks of injury and disease in slaughterhouse workers. Finally, enhanced surveillance, targeting slaughterhouse workers could be used to detect disease outbreaks. This “One Health” approach to disease surveillance is likely to benefit workers, producers and consumers.Electronic supplementary materialThe online version of this article (doi:10.1186/s12889-016-3923-y) contains supplementary material, which is available to authorized users.

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“…Primarily, the literature has been descriptive with respect to the type of incidents and nature of injuries (Bode, Giwa, & Oke, 2001;Burridge, Marshall, & Laing, 1997;McPeek et al, 1976). Recent research in the British Columbia sawmill industry has focused on the accuracy of workers' compensation data, costs of work-related injuries, and changes in the psychosocial and physical work conditions as the industry has downsized, but the associations between work exposures and injuries have not been examined (Alamgir, Koehoorn, Ostry, Tompa, & Demers, 2006a,b;Alamgir, Tompa, Koehoorn, Ostry, & Demers, 2007a,b;Ostry et al, 2000).…”

Section: Introductionmentioning

confidence: 98%