Modeling heart rate of individual and team manual handling with one hand using generalized additive mixed models
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 man...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2024-02-01
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| Series: | BMC Medical Research Methodology |
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| Online Access: | https://doi.org/10.1186/s12874-024-02169-7 |
| _version_ | 1827327079845199872 |
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| author | Mohammad Hamed Hosseini Rashid Heidarimoghaddam Mehrdad Anbarian Saeed Ilbeigi Leili Tapak |
| author_facet | Mohammad Hamed Hosseini Rashid Heidarimoghaddam Mehrdad Anbarian Saeed Ilbeigi Leili Tapak |
| author_sort | Mohammad Hamed Hosseini |
| collection | DOAJ |
| description | 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, HR rest , 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 (R 2 =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. |
| first_indexed | 2024-03-07T14:55:50Z |
| format | Article |
| id | doaj.art-ca3c0c3352da4e9cb7ceb483494d71b2 |
| institution | Directory Open Access Journal |
| issn | 1471-2288 |
| language | English |
| last_indexed | 2024-03-07T14:55:50Z |
| publishDate | 2024-02-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Medical Research Methodology |
| spelling | doaj.art-ca3c0c3352da4e9cb7ceb483494d71b22024-03-05T19:28:39ZengBMCBMC Medical Research Methodology1471-22882024-02-012411910.1186/s12874-024-02169-7Modeling heart rate of individual and team manual handling with one hand using generalized additive mixed modelsMohammad Hamed Hosseini0Rashid Heidarimoghaddam1Mehrdad Anbarian2Saeed Ilbeigi3Leili Tapak4Department of Ergonomics, School of Public Health, Research Centre for Health Sciences Hamadan University of Medical SciencesDepartment of Ergonomics, School of Public Health, Research Centre for Health Sciences Hamadan University of Medical SciencesDepartment of Sports Biomechanics, Faculty of Sport Sciences, Bu-Ali Sina UniversitySports Biomechanics, Faculty of Sport Sciences, University of BirjandDepartment of Biostatistics, School of Public Health and Modeling of Noncommunicable Diseases Research Center, Hamadan University of Medical SciencesAbstract 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, HR rest , 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 (R 2 =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.https://doi.org/10.1186/s12874-024-02169-7Team manual handlingHeart RateGeneralized Additive Mixed Model |
| spellingShingle | Mohammad Hamed Hosseini Rashid Heidarimoghaddam Mehrdad Anbarian Saeed Ilbeigi Leili Tapak Modeling heart rate of individual and team manual handling with one hand using generalized additive mixed models BMC Medical Research Methodology Team manual handling Heart Rate Generalized Additive Mixed Model |
| title | Modeling heart rate of individual and team manual handling with one hand using generalized additive mixed models |
| title_full | Modeling heart rate of individual and team manual handling with one hand using generalized additive mixed models |
| title_fullStr | Modeling heart rate of individual and team manual handling with one hand using generalized additive mixed models |
| title_full_unstemmed | Modeling heart rate of individual and team manual handling with one hand using generalized additive mixed models |
| title_short | Modeling heart rate of individual and team manual handling with one hand using generalized additive mixed models |
| title_sort | modeling heart rate of individual and team manual handling with one hand using generalized additive mixed models |
| topic | Team manual handling Heart Rate Generalized Additive Mixed Model |
| url | https://doi.org/10.1186/s12874-024-02169-7 |
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