The Impact of Body Posture on Heart Rate Strain during Tree Felling

Author:

Tsioras Petros A.ORCID,Khooshdohbat Mahmoud,Nikooy Mehrdad,Naghdi Ramin,Heidari Mahmoud

Abstract

Tree felling is recognized as one of the most difficult and physically demanding work phases in motor–manual wood harvesting, during which maintaining good posture can avert unnecessary loadings to the spine and the consequent musculoskeletal disorders to forestry professionals. This study aimed to (a) quantify the impact of posture selection by means of heart rate measurements and (b) analyze its interactions with the anthropometric and personal information of study subjects. Thirteen forest workers were asked to fell thirty trees in each of the four most common body postures during motor–manual forest operations: (i) stooping, (ii) flexed stooping, (iii) squatting, and (iv) half kneeling. Posture had a significant impact on the amount of heart strain measured as mean heart rate during work (HRwork), heart rate increase over resting heart rate (ΔHR), and relative heart rate index (HRR). The most popular position among the forest workers was flexed stooping, which also caused the most damage, compared with the least physiologically damaging position, half kneeling: HRwork by 12.40 bpm, ΔHR by 10.24 bpm, and HRR by 11.51. On the contrary, overweight and older subjects experienced lower heart rate strain, a finding that has to be further investigated.

Publisher

MDPI AG

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

Reference66 articles.

1. Wood harvesting accidents in the Austrian State Forest Enterprise 2000–2009

2. Workload, Exposure to Noise, and Risk of Musculoskeletal Disorders: A Case Study of Motor-Manual Tree Feeling and Processing in Poplar Clear Cuts

3. Physiological workload evaluation by means of heart rate monitoring during motor-manual clearcutting operations

4. Forest workers and steep terrain winching: The impact of environmental and anthropometric parameters on performance;Aalmo;Croat. J. For. Eng.,2016

5. An assesment of physiological workload of forest workers in felling operations;Çaliskan;Afr. J. Biotechnol.,2010

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