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BMC Medical Research Methodology
Published in: BMC Medical Research Methodology 1/2024

Open Access 01-12-2024 | Research

Modeling heart rate of individual and team manual handling with one hand using generalized additive mixed models

Authors: Mohammad Hamed Hosseini, Rashid Heidarimoghaddam, Mehrdad Anbarian, Saeed Ilbeigi, Leili Tapak

Published in: BMC Medical Research Methodology | Issue 1/2024

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Abstract

Objectives

Despite the fact that team manual handling is common in different working environments, the previous studies in this regard, particularly those with a physiological approach are quite limited. The present study is an attempt to model the heart rate (HR) of individual and team manual handling with one hand.

Methods

Twenty-five young men (aged 21.24±1.42 year) volunteered for this study. The experiments included individual and two-person handling of the load with three different weights with and without height difference. The participants’ HR was registered at the end of the route by a chest-strap pulse monitor and a polar watch according to the manufacturer's recommendation. A multivariate Generalized Additive Mixed Model (MGAMM) was used for modeling heart rate based on explanatory variables of workload, carry method, HRrest, body weight, height, knee height, shoulder height, elbow height, and hand height. The significance level of the tests was considered as <0.05.

Results

Based on the MGAMM, the average HR (bpm) of participants increased as the workload increased (P<0.001). Handling the load with a taller person increased the HR compared to shorter partner (P<0.001). Moreover, the nonlinear associations of the resting HR (P<0.001), body weight (P<0.001), height (P<0.001), and the height of elbow, hand and knee (P<0.001) were statistically significant. The adjusted R2 of the model was 0.89 indicating that about 90 percent of the variations observed in HR could be explained by the variables in the model. This was greater than the model considering only linear effects (R2 =0.60).

Conclusion

The model obtained in this study can predict the heart rate of individual and team one-handed handling with high validity. The MGAMM can be used in modeling heart rate in manual handling.
Literature
1.
Paul S, Bhattacharyya D, Chatterjee T, Pal MS, Majumdar D, Singh SN, et al. Physiological and biochemical responses during incremental uphill load carriage. Int J Ind Ergon. 2015;50:26–33.CrossRef
2.
Pal M, Yadav A, Arya K, Chatterjee T, Bhattacharyya D, Kumar B. Optimization of load carriage at desert environment. Int J Ind Ergon. 2020;79: 102986.CrossRef
3.
Wu S-P, Chang S-Y. Effects of carrying methods and box handles on two-person team carrying capacity for females. Appl Ergon. 2010;41(4):615–9.CrossRefPubMed
4.
Johnson SL, Lewis DM. A Psychophysical Study of Two-Person Manual Material Handling Tasks. Proceedings of the Human Factors Society Annual Meeting. 1989;33(11):651–3.CrossRef
5.
Sharp M, Rice V, Nindl B, Williamson T. Maximum Lifting Capacity in Single and Mixed Gender Three-Person Teams. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 1993;37(10):725–9.CrossRef
6.
Marras WS, Davis KG, Kirking BC, Granata KP. Spine loading and trunk kinematics during team lifting. Ergonomics. 1999;42(10):1258–73.CrossRefPubMed
7.
Daynard D, Yassi A, Cooper JE, Tate R, Norman R, Wells R. Biomechanical analysis of peak and cumulative spinal loads during simulated patient-handling activities: a substudy of a randomized controlled trial to prevent lift and transfer injury of health care workers. Appl Ergon. 2001;32(3):199–214.CrossRefPubMed
8.
Barrett RS, Dennis GJ. Ergonomic issues in team lifting. Human Factors and Ergonomics in Manufacturing & Service Industries. 2005;15(3):293–307.CrossRef
9.
10.
Mital A, Motorwala A. An ergonomic evaluation of steel and composite access covers. Int J Ind Ergon. 1995;15(4):285–96.CrossRef
11.
Visser S, van der Molen HF, Kuijer PPFM, Hoozemans MJM, Frings-Dresen MHW. Evaluation of team lifting on work demands, workload and workers’ evaluation: An observational field study. Appl Ergon. 2014;45(6):1597–602.CrossRefPubMed
12.
Pandorf CE, Harman EA, Frykman PN, Patton JF, Mello RP, Nindl BC. Correlates of load carriage and obstacle course performance among women. Work. 2002;18:179–89.PubMed
13.
Bastien GJ, Willems PA, Schepens B, Heglund NC. Effect of load and speed on the energetic cost of human walking. Eur J Appl Physiol. 2005;94(1):76–83.CrossRefPubMed
14.
Lyons J, Allsopp A, Bilzon J. Influences of body composition upon the relative metabolic and cardiovascular demands of load-carriage. Occup Med. 2005;55(5):380–4.CrossRef
15.
Sharma R, Kamboj K, Bhardwaj J. Gender response and safe carrying load limit for sugar industry workers. Int J Occup Saf Ergon. 2019;25(1):51–60.CrossRefPubMed
16.
Badawy M, Schall MC, Sesek RF, Gallagher S, Davis GA, Capanoglu MF. One-handed carrying among elderly and obese individuals: a systematic review to identify research gaps. Ergonomics. 2018;61(10):1345–54.CrossRefPubMed
17.
Kilbom Å, Hägg GM, Käll C. One-handed load carrying — Cardiovascular, muscular and subjective indices of endurance and fatigue. Eur J Appl Physiol. 1992;65(1):52–8.CrossRef
18.
Lind A, McNicol G. Cardiovascular responses to holding and carrying weights by hand and by shoulder harness. J Appl Physiol. 1968;25(3):261–7.CrossRefPubMed
19.
Mital A. Preliminary guidelines for designing one-handed material handling tasks. J Occup Accid. 1985;7(1):33–40.CrossRef
20.
Datta SR, Chatterjee BB, Roy BN. The Relationship between Energy Expenditure and Pulse Rates with Body Weight and the Load Carried During Load Carrying on the Level. Ergonomics. 1973;16(4):507–13.CrossRefPubMed
21.
Taboun SM, Dutta SP. Energy cost models for combined lifting and carrying tasks. Int J Ind Ergon. 1989;4(1):1–17.CrossRef
22.
Mital A, Manivasagan I. Subjective estimates of one-handed carrying tasks. Appl Ergon. 1983;14(4):265–9.CrossRefPubMed
23.
Lee T-H, Tseng C-Y. Grip Force and Heart Rate Responses to Manual Carrying Tasks: Effects of Material, Weight, and Base Area of the Container. Int J Occup Saf Ergon. 2014;20(3):377–83.CrossRefPubMed
24.
Ganguli S, Datta SR. Studies in load carrying in BK amputees with a PTB prosthesis system. J Med Eng Technol. 1977;1(3):151–4.CrossRefPubMed
25.
Morrissey SJ, Liou YH. Metabolic costs of load carriage with different container sizes. Ergonomics. 1984;27(8):847–53.CrossRefPubMed
26.
Liou YH, Morrissey SJ. Predicting male and female physiological costs of load carriage. Trends in Ergonomics/Human Factors II, Amsterdam: Elsevier. 1985:633–9.
27.
Ismaila SO, Oriolowo KT, Akanbi OG. Predicting relative and working heart rates of bricklaying jobs using neural network. Occup Ergon. 2013;11(1):35–43.CrossRef
28.
Vickery-Howe DM, Drain JR, Clarke AC, Dascombe BJ, McWilliam JT, Middleton KJ. Treadmill load carriage overestimates energy expenditure of overground load carriage. Ergonomics. 2021;64(4):521–31.CrossRefPubMed
29.
Dal U, Erdogan T, Resitoglu B, Beydagi H. Determination of preferred walking speed on treadmill may lead to high oxygen cost on treadmill walking. Gait Posture. 2010;31(3):366–9.CrossRefPubMed
Metadata
Title
Modeling heart rate of individual and team manual handling with one hand using generalized additive mixed models
Authors
Mohammad Hamed Hosseini
Rashid Heidarimoghaddam
Mehrdad Anbarian
Saeed Ilbeigi
Leili Tapak
Publication date
01-12-2024
Publisher
BioMed Central
Published in
BMC Medical Research Methodology / Issue 1/2024
Electronic ISSN: 1471-2288
DOI
https://doi.org/10.1186/s12874-024-02169-7

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