Jana Hlávková
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Jana Hlávková has a total of 12 co-authors. Here are the top co-authors by number of shared publications:
- Andrea Laštovková
Department of Occupational Medicine, First Medical Faculty, Charles University in Prague and General University Hospital in Prague, Czech Republic
1 shared publication - Daniela Pelclova
Toxicological Information Centre, Department of Occupational Medicine, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
1 shared publication - Edvard Ehler
Neurol Klin FZS UP, Kyjevska 44, Pardubice 53203, Czech Republic
1 shared publication Lenka Pešáková
Regional Public Health Institute, Olomouc, Czech Republic
1 shared publication- Marie Nakládalová
Department of Occupational Medicine, University Hospital Olomouc and Faculty of Medicine and Dentistry, Palacký University Olomouc, Olomouc, Czech Republic
1 shared publication Milan Richter
1st Department of Orthopaedics, First Medical Faculty, Charles University and Motol University Hospital, Prague, Czech Republic
1 shared publication
Latest Publications
- 1 March 2016
- Published by National Institute of Public Health, Prague in Central European Journal of Public Health
- Vol. 24 (1) , 58-67
Evaluation of Lumbar Spine Load by Computational Method in Order to Acknowledge Low-back Disorders as Occupational Diseases
The aim of the study was to develop a computational module for the prediction of compressive force on the L4/L5 disc suitable for use in field settings. The value of compressive force is intended to be used as a proxy measure of the mechanical burden of low-back when performing work activities. The compressive force predicted by the module in a particular worker should be compared with the NIOSH limit value of 3,400 N for the assessment of lumbar spine load during manual lifting tasks. Exceeding the limit will be considered as the fulfilment of "hygienic criterion" that should be met to acknowledge low-back disorder as an occupational disease. To develop the computational module we used the ergonomic software TECNOMATIX Classic Jack taking into account the anthropometric parameters of a worker and ergonomic parameters of his/her work activity. We calculated compressive forces on the L4/L5 disc in about 1,300 simulated combinations of various factors influencing compressive force. Parameters which turned out to be crucial for the compression of L4/L5 disc were included in the computational algorithm. Our study was primarily aimed at the assessment of lumbar disorders as occupational diseases. Moreover, the study can contribute to the recommendation of preventive measures to decrease health risks in occupations associated with the overload of low-back region. The graphic maps generated by the computational module enable a fast and exact analysis of particular job.
- 1 March 2016
- Published by National Institute of Public Health, Prague in Central European Journal of Public Health
- Vol. 24 (1) , 58-67
Evaluation of Lumbar Spine Load by Computational Method in Order to Acknowledge Low-back Disorders as Occupational Diseases
The aim of the study was to develop a computational module for the prediction of compressive force on the L4/L5 disc suitable for use in field settings. The value of compressive force is intended to be used as a proxy measure of the mechanical burden of low-back when performing work activities. The compressive force predicted by the module in a particular worker should be compared with the NIOSH limit value of 3,400 N for the assessment of lumbar spine load during manual lifting tasks. Exceeding the limit will be considered as the fulfilment of "hygienic criterion" that should be met to acknowledge low-back disorder as an occupational disease. To develop the computational module we used the ergonomic software TECNOMATIX Classic Jack taking into account the anthropometric parameters of a worker and ergonomic parameters of his/her work activity. We calculated compressive forces on the L4/L5 disc in about 1,300 simulated combinations of various factors influencing compressive force. Parameters which turned out to be crucial for the compression of L4/L5 disc were included in the computational algorithm. Our study was primarily aimed at the assessment of lumbar disorders as occupational diseases. Moreover, the study can contribute to the recommendation of preventive measures to decrease health risks in occupations associated with the overload of low-back region. The graphic maps generated by the computational module enable a fast and exact analysis of particular job.