Productivity and workload analysis between manual and motor-manual pruning of <i>Pinus patula</i> at two different lifts

Sibiya, Zimbili Bonisiwe; Ackerman, Pierre; Ackerman, Simon

doi:10.1080/14942119.2021.1906568

Cited by 1 publication

(2 citation statements)

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“…The results of the association between heart rate and metabolic rate were in accordance with a previous formula [20]. Several studies have reported small sample sizes in actual forestry fields (5-13 participants) [10][11][12][13]. A low risk of a statistical type 2 error due to small sample size, which indicates a small measurement error in correlation, may be a strength for implementing the main study.…”

Section: Discussionsupporting

confidence: 85%

“…Heart rate (HR) monitoring is widely used to estimate the workload. Several studies have measured the workload of forestry workers using HR monitors in the field [9][10][11][12][13][14]. They reported a single task or operation, such as afforestation, pruning, felling, or cable work, and used the crude or HR relative to the maximal or submaximal HR.…”

Section: Introductionmentioning

confidence: 99%

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Energy Expenditure Estimation for Forestry Workers Moving on Flat and Inclined Ground

Okuda

Kawamoto

Tado

et al. 2023

Forests

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Forestry workers endure highly physical workloads. Japanese forestry workers experience additional up-and-down movements due to geographical features. Fatigue is a common cause of injury. This pilot study aimed to determine an appropriate method for estimating energy expenditure while moving across inclined ground to simulate a Japanese forest. Six participants wore a portable indirect calorimeter (V˙O2), heart rate (HR) monitor (17 g), accelerometer (20 g; vector magnitude; VM), and a global navigation satellite system (GNSS) device. They walked shouldering 20 kg of weight on flat, 15°- and 30°-slopes. The time course of HR was similar to that of V˙O2, but that of VM and the vertical movement varied from that of V˙O2. GNSS cannot correctly detect vertical movements. The HR index (HRI), indicating the ratio of activity HR to resting HR, was significantly correlated with the metabolic equivalent of the task (MET) calculated from V˙O2 (r = 0.932, p < 0.0001), which fit the previously proposed formula for METs (METs = HRI × 6 − 5). However, VM was not correlated with VM (r = 0.354, p = 0.150). We can use HRI to measure the workload of Japanese forestry workers with a small burden in the field.

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