scholarly journals Comparison of Working Conditions and Prevalence of Musculoskeletal Symptoms among Dairy Farmers in Southern Sweden over a 25-Year Period

2016 ◽  
Vol 4 ◽  
Author(s):  
Stefan Pinzke
2008 ◽  
Vol 51 (6) ◽  
pp. 443-451 ◽  
Author(s):  
Matthew W. Nonnenmann ◽  
Dan Anton ◽  
Fredric Gerr ◽  
Linda Merlino ◽  
Kelley Donham

2010 ◽  
Vol 26 (5) ◽  
pp. 971-980 ◽  
Author(s):  
Leila Posenato Garcia ◽  
Doroteia Aparecida Höfelmann ◽  
Luiz Augusto Facchini

This cross-sectional study with 1,249 workers from all 49 municipal primary health care centers was conducted in Florianópolis, Santa Catarina State, Brazil, with the objective of investigating the prevalence of poor self-rated health and its association with working conditions and other factors. Multivariate statistical analyses were conducted using Poisson regression. The prevalence of poor self-rated health was 21.86% (95%CI: 19.56%-24.15%). The largest prevalence was found among dental assistants (35.71%), and the lowest among physicians (10.66%). In the adjusted analysis, the outcome was associated with female gender (PR = 1.48; 95%CI: 1.03-2.14), older age (PR = 1.29; 95%CI: 1.05-1.59), higher education (PR = 0.69; 95%CI: 0.55-0.87), more time working at the primary care center (PR = 1.57; 95%CI: 1.29-1.98), higher workload score (PR = 1.67; 95%CI: 1.35-2.05), obesity (PR = 1.74; 95%CI: 1.37-2.21), and often or always experiencing musculoskeletal symptoms (PR = 2.69; 95%CI: 1.90-3.83). A higher workload score remained associated with the outcome, suggesting an association between working conditions and self-rated health.


2005 ◽  
Vol 56 (4) ◽  
pp. 363 ◽  
Author(s):  
C. J. Maller ◽  
P. H. Hemsworth ◽  
K. T. Ng ◽  
E. J. Jongman ◽  
G. J. Coleman ◽  
...  

This study consisted of a survey of dairy farmers and their milking sheds at 198 Victorian dairy farms to examine the relationships between physical features in the milking shed and a number of job-related characteristics of the farmer, such as attitudes to handling cows and job satisfaction. Furthermore, farmers’ opinions of the effects of specific design features of the milking shed on cow behaviour were sought. A further objective of this survey was to use the relationships between shed characteristics and job-related characteristics of the farmer to identify, for future research, possible features of the milking shed that may affect cow behaviour. There was substantial variation in both the behavioural beliefs of farmers about cow behaviour in the milking shed and reports by farmers on comfort and working conditions in the dairy, indicating that considerable opportunities exist to improve these key job-related characteristics. A principal component analysis (PCA) of the responses to the questions on job-related characteristics of the farmer identified 6 factors: 2 of the factors identified were related to behavioural beliefs by farmers about cow behaviour (labelled ‘Cow Movement’ and ‘Cow Behaviour’); one of the factors related to comfort of the farmer in the shed (labelled ‘Operator Comfort’); and 3 of the factors related to aspects of the quality of life of the farmer (labelled ‘Workload’, ‘Farmer Mood’, and ‘Job Characteristics’). Positive beliefs about both cow movement (factor called Cow Movement) and cow behaviour (factor called Cow Behaviour) were correlated with farmers being more positive about working in the dairy (factor called Operator Comfort; P < 0.05 and P < 0.01, respectively) and the characteristics of the job (factor called Job Characteristics; P < 0.01). These relationships suggest that improvements in cow behaviour may lead to improvements in both job satisfaction and the quality of life of the farmer. Furthermore, regression analysis revealed that a number of the shed features, such as height of the breast rail, presence of stall gates, length and width of the platform and solid side on first milking bail, were significant predictors of one or more of these 6 PCA factors. Although these results may not reflect causal relationships, these relationships between shed characteristics and a number of job-related characteristics of the farmer highlight the potential importance of shed design to both the cow and the farmer and provide a valuable guide in identifying features of milking sheds that require future examination as to their effects on cow behaviour.


Author(s):  
Jungsun Park ◽  
Yangho Kim

This study examined the relationship of musculoskeletal symptoms with exposure to a combination of ergonomic risk factors at work and the possible ameliorating effect of enough time to rest during working hours or between consecutive shifts in Korean workers. Data were from the 2017 Korean Working Conditions Survey. Workers exposed to ergonomic risk factors were more likely to report musculoskeletal symptoms than those without exposure, and exposure to more ergonomic risk factors increased the probability of musculoskeletal symptoms. Workers who had the opportunity to rest when desired and those who had enough time to rest between consecutive shifts were less likely to report musculoskeletal symptoms. In conclusion, workers exposed to more ergonomic risk factors had an increased risk for musculoskeletal symptoms, and providing enough time to rest and recovery to workers reduced the risk of musculoskeletal symptoms.


2000 ◽  
Vol 31 (1) ◽  
pp. 181-189 ◽  
Author(s):  
Christine Brulin ◽  
Anna Winkvist ◽  
Stivia Langendoen

2021 ◽  
Vol 1199 (1) ◽  
pp. 012011
Author(s):  
D Onofrejová ◽  
M Balážiková

Abstract For the analysis of musculoskeletal workload and associated potential hazardous working conditions as well as musculoskeletal symptoms in worker populations among various occupations different approaches are taken, and extensive data collection studies are being accomplished. Questions are targeted on musculoskeletal workload and associated potentially hazardous working conditions can be categorized into seven indices (force, dynamic and static load, repetitive load, climatic factors, vibration and ergonomic environmental factors). Evaluation focus on standing, sitting, walking and uncomfortable postures, the indices constitute a brief overview of the main findings on musculoskeletal workload and associated potentially hazardous working conditions. The validity of the findings is fair when compared with an index of psychosocial working conditions and discomfort during exposure to physical loads. Worker groups with contrasting musculoskeletal loads can be differentiated on the basis of the indices and other factors. It appears that most indices and factors show significant associations with low back and/or neck-shoulder symptoms. This simulation model NIOSH analysis can be used as a simple and quick approach to identify worker groups in which a more thorough ergonomic analysis indicates possible improvements in load factor using particular exoskeletons at work.


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