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Kang J, Payne SC, Sasangohar F, Mehta RK. Field-based longitudinal evaluation of multimodal worker fatigue assessments in offshore shiftwork. APPLIED ERGONOMICS 2024; 115:104164. [PMID: 37925754 DOI: 10.1016/j.apergo.2023.104164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 10/16/2023] [Accepted: 10/31/2023] [Indexed: 11/07/2023]
Abstract
Fatigue in offshore environments is a critical safety hazard, yet the utility of daily fatigue assessments has not been longitudinally examined in these environments. The aim of this exploratory longitudinal field study across two drillships in the Gulf of Mexico was to determine the changes in subjective, performance-based, and physiological fatigue measures over time across different shift types (day, night, and swing) and to identify correlations between these multimodal fatigue assessments. Repeated measures correlation analyses of daily fatigue data from seventy offshore workers revealed that while total sleep time remained unaffected by time on rig, workers' performances on the psychomotor vigilance test (PVT) deteriorated over time across all shift types. Several correlations between the various multimodal measures were consistent with the extant literature on worker fatigue symptoms and perceptual and physiological manifestations. These findings emphasize the utility of PVT and single item self-reports to capture worker fatigue in offshore shiftwork.
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Affiliation(s)
- John Kang
- Wm. Michael Barnes 64' Industrial & Systems Engineering, Texas A&M University, College Station, TX, 77843, USA
| | - Stephanie C Payne
- Department of Psychology, Texas A&M University, College Station, TX, 77843, USA
| | - Farzan Sasangohar
- Wm. Michael Barnes 64' Industrial & Systems Engineering, Texas A&M University, College Station, TX, 77843, USA
| | - Ranjana K Mehta
- Industrial & Systems Engineering, University of Wisconsin Madison, Madison, WI 53706 USA.
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2
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Karthikeyan R, Carrizales J, Johnson C, Mehta RK. A Window Into the Tired Brain: Neurophysiological Dynamics of Visuospatial Working Memory Under Fatigue. HUMAN FACTORS 2024; 66:528-543. [PMID: 35574703 DOI: 10.1177/00187208221094900] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
OBJECTIVE We examine the spatiotemporal dynamics of neural activity and its correlates in heart rate and its variability (HR/HRV) during a fatiguing visuospatial working memory task. BACKGROUND The neural and physiological drivers of fatigue are complex, coupled, and poorly understood. Investigations that combine the fidelity of neural indices and the field-readiness of physiological measures can facilitate measurements of fatigue states in operational settings. METHOD Sixteen healthy adults, balanced by sex, completed a 60-minute fatiguing visuospatial working memory task. Changes in task performance, subjective measures of effort and fatigue, cerebral hemodynamics, and HR/HRV were analyzed. Peak brain activation, functional and effective connections within relevant brain networks were contrasted against spectral and temporal features of HR/HRV. RESULTS Task performance elicited increased neural activation in regions responsible for maintaining working memory capacity. With the onset of time-on-task effects, resource utilization was seen to increase beyond task-relevant networks. Over time, functional connections in the prefrontal cortex were seen to weaken, with changes in the causal relationships between key regions known to drive working memory. HR/HRV indices were seen to closely follow activity in the prefrontal cortex. CONCLUSION This investigation provided a window into the neurophysiological underpinnings of working memory under the time-on-task effect. HR/HRV was largely shown to mirror changes in cortical networks responsible for working memory, therefore supporting the possibility of unobtrusive state recognition under ecologically valid conditions. APPLICATIONS Findings here can inform the development of a fieldable index for cognitive fatigue.
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3
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Bazazan A, Noman Y, Norouzi H, Maleki-Ghahfarokhi A, Sarbakhsh P, Dianat I. Physical and psychological job demands and fatigue experience among offshore workers. Heliyon 2023; 9:e16441. [PMID: 37274697 PMCID: PMC10238685 DOI: 10.1016/j.heliyon.2023.e16441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 05/07/2023] [Accepted: 05/16/2023] [Indexed: 06/06/2023] Open
Abstract
Offshore operations are generally challenging and hazardous, and the workers are exposed to conditions that may lead to fatigue. A cross-sectional study evaluated physical and psychological job demands and their associations with fatigue among offshore workers. The offshore workers (n = 251) completed a questionnaire including demographic/job details, Multidimensional Fatigue Inventory (MFI‒20), and Job Content Questionnaire (JCQ). Data were analysed using linear regression modelling. Results indicated that the physical (particularly performing repetitive motions and applying pressure with hands and wrists) and psychological (e.g., intense task concentration and fast working) job demands were relatively high. The total mean (SD) fatigue score (MFI‒20) was 56.3 (13.9). Individual factors (Body Mass Index ‒ BMI), physical job demands (awkward working postures, frequent moving/lifting heavy objects and doing lots of physical efforts) and psychological job demands (task interruptions by other people and doing an excessive amount of work) were the main variables associated with different dimensions of fatigue in the multivariate models. While physical fatigue was only associated with the physical job demands, both physical and psychological job demands were significantly associated with mental fatigue in the multivariate context. The findings have possible implications for job design and implementation of intervention programmes to promote health and performance of the employees.
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Affiliation(s)
- Ahmad Bazazan
- Department of Occupational Health and Ergonomics, Faculty of Health, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Yousuf Noman
- Department of Management, Occupational Health and Safety, University of California, Los Angeles, USA
| | - Hadis Norouzi
- Kermanshah Health Centre, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | | | - Parvin Sarbakhsh
- Department o Statistics and Epidemiology School of Public Health, Tabriz University of Medical Sciences Tabriz, Iran
| | - Iman Dianat
- Department of Occupational Health and Ergonomics, Faculty of Health, Tabriz University of Medical Sciences, Tabriz, Iran
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Porta M, Porceddu S, Leban B, Casu G, Mura GM, Campagna M, Pau M. Characterization of upper limb use in health care workers during regular shifts: A quantitative approach based on wrist-worn accelerometers. APPLIED ERGONOMICS 2023; 112:104046. [PMID: 37267772 DOI: 10.1016/j.apergo.2023.104046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 05/09/2023] [Accepted: 05/11/2023] [Indexed: 06/04/2023]
Abstract
Despite the high prevalence of upper limb (UL) work-related musculoskeletal disorders (WRMSD) among health care workers (HCWs), little is known about their relationship with exposure to biomechanical risk factors. This study aimed to assess UL activity features under actual working conditions using two wrist-worn accelerometers. Accelerometric data were processed to obtain duration, intensity, and asymmetry of UL use in 32 HCWs during the execution of commonly performed tasks (e.g., patient hygiene, transfer, and meal distribution) within a regular shift. The results show that such tasks are characterized by significantly different patterns of UL use, in particular, higher intensities and larger asymmetries were observed respectively for patient hygiene and meal distribution. The proposed approach appears, thus, suitable to discriminate tasks characterized by different UL motion patterns. Future studies could benefit from the integration of such measures with self-reported workers' perception to elucidate the relationship between dynamic UL movements and WRMSD.
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Affiliation(s)
- Micaela Porta
- Department of Mechanical, Chemical and Materials Engineering University of Cagliari, Italy.
| | - Simona Porceddu
- Department of Medical Sciences and Public Health, University of Cagliari, Italy
| | - Bruno Leban
- Department of Mechanical, Chemical and Materials Engineering University of Cagliari, Italy
| | - Giulia Casu
- Department of Mechanical, Chemical and Materials Engineering University of Cagliari, Italy
| | - Giovanni M Mura
- Department of Medical Sciences and Public Health, University of Cagliari, Italy
| | - Marcello Campagna
- Department of Medical Sciences and Public Health, University of Cagliari, Italy
| | - Massimiliano Pau
- Department of Mechanical, Chemical and Materials Engineering University of Cagliari, Italy
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5
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Ruscitto C, Ogden J, Ellis JG. To what extent is circadian phase predictive of subjective jet lag in long-haul cabin crew pre- and post-trip? APPLIED ERGONOMICS 2023; 106:103882. [PMID: 36081186 DOI: 10.1016/j.apergo.2022.103882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 08/10/2022] [Accepted: 08/14/2022] [Indexed: 06/15/2023]
Abstract
Long-haul cabin crew regularly report misalignment between their circadian phase and the external world (i.e. jet lag). The extent to which changes in circadian phase relate to reported levels of jet lag remains unclear. The main aim of the present study was first to evaluate the relationship between objective (circadian phase) and subjective jet lag and second to explore the relative role of both subjective and objective psycho-behavioural factors in predicting the subjective experience of jet lag. Twenty-eight long-haul cabin crew completed questionnaires measuring diurnal preference, trip characteristics and subjective jet lag as a single and as a multidimensional measure. Sleep was monitored using actigraphy and urinary melatonin peak time was measured, at baseline (T1), e.g. before a long-haul trip and post-trip on the crew's first recovery day (T2). Subjective jet lag was also measured at both time points. At T1, later circadian phase related to increased unidimensional jet lag, however, a post-trip discrepancy was found between objective and subjective uni- and multidimensional jet lag measured at T2 and change from T1 to T2. After controlling for direction and size of circadian phase, increased uni- and multidimensional subjective jet lag was predicted by depressed mood states. The regression models including phase, diurnal preference, departure time on the outbound sector and arousal levels accounted for 28% of the variance in unidimensional jet lag and 53% of the variance in multidimensional jet lag. It was concluded that there is a discordance between objective and subjective jet lag post-trip. Further, subjective jet lag in long-haul cabin crew is better explained by mood impairment than circadian phase. The results are discussed with reference to the gap between subjective and objective jet lag and the role of psychology rather than just biology in the jet lag experience. The implications for improving health and safety in the workplace, through a better understanding of the role of human factors in the management of jet lag, are discussed.
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Affiliation(s)
| | - Jane Ogden
- School of Psychology, University of Surrey, Guildford, UK
| | - Jason G Ellis
- Northumbria Sleep Research Laboratory, Northumbria University, Newcastle, UK
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Darnai G, Matuz A, Alhour HA, Perlaki G, Orsi G, Arató Á, Szente A, Áfra E, Nagy SA, Janszky J, Csathó Á. The neural correlates of mental fatigue and reward processing: A task-based fMRI study. Neuroimage 2023; 265:119812. [PMID: 36526104 DOI: 10.1016/j.neuroimage.2022.119812] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 11/07/2022] [Accepted: 12/12/2022] [Indexed: 12/15/2022] Open
Abstract
Increasing time spent on the task (i.e., the time-on-task (ToT) effect) often results in mental fatigue. Typical effects of ToT are decreasing levels of task-related motivation and the deterioration of cognitive performance. However, a massive body of research indicates that the detrimental effects can be reversed by extrinsic motivators, for example, providing rewards to fatigued participants. Although several attempts have been made to identify brain areas involved in mental fatigue and related reward processing, the neural correlates are still less understood. In this study, we used the psychomotor vigilance task to induce mental fatigue and blood oxygen-level-dependent functional magnetic resonance imaging to investigate the neural correlates of the ToT effect and the reward effect (i.e., providing extra monetary reward after fatigue induction) in a healthy young sample. Our results were interpreted in a recently proposed neurocognitive framework. The activation of the right middle frontal gyrus, right insula and right anterior cingulate gyrus decreased as fatigue emerged and the cognitive performance dropped. However, after providing an extra reward, the cognitive performance, as well as activation of these areas, increased. Moreover, the activation levels of all of the mentioned areas were negatively associated with reaction times. Our results confirm that the middle frontal gyrus, insula and anterior cingulate cortex play crucial roles in cost-benefit evaluations, a potential background mechanism underlying fatigue, as suggested by the neurocognitive framework.
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Affiliation(s)
- Gergely Darnai
- Department of Behavioural Sciences, Medical School, University of Pécs, Pécs, Hungary; Department of Neurology, Medical School, University of Pécs, Pécs, Hungary; ELKH-PTE Clinical Neuroscience MR Research Group, Pécs, Hungary
| | - András Matuz
- Department of Behavioural Sciences, Medical School, University of Pécs, Pécs, Hungary
| | | | - Gábor Perlaki
- Department of Neurology, Medical School, University of Pécs, Pécs, Hungary; ELKH-PTE Clinical Neuroscience MR Research Group, Pécs, Hungary; Pécs Diagnostic Centre, Pécs, Hungary
| | - Gergely Orsi
- ELKH-PTE Clinical Neuroscience MR Research Group, Pécs, Hungary; Pécs Diagnostic Centre, Pécs, Hungary; Department of Neurosurgery, Medical School, University of Pécs, Pécs, Hungary
| | - Ákos Arató
- Department of Neurology, Medical School, University of Pécs, Pécs, Hungary
| | - Anna Szente
- Department of Neurology, Medical School, University of Pécs, Pécs, Hungary
| | - Eszter Áfra
- Department of Behavioural Sciences, Medical School, University of Pécs, Pécs, Hungary
| | - Szilvia Anett Nagy
- Department of Neurology, Medical School, University of Pécs, Pécs, Hungary; ELKH-PTE Clinical Neuroscience MR Research Group, Pécs, Hungary; Pécs Diagnostic Centre, Pécs, Hungary; Structural Neurobiology Research Group, Szentágothai Research Centre, University of Pécs, Pécs, Hungary
| | - József Janszky
- Department of Neurology, Medical School, University of Pécs, Pécs, Hungary; ELKH-PTE Clinical Neuroscience MR Research Group, Pécs, Hungary.
| | - Árpád Csathó
- Department of Behavioural Sciences, Medical School, University of Pécs, Pécs, Hungary
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Hagan-Haynes K, Pratt S, Lerman S, Wong I, Baker A, Flower D, Riethmeister V. US research needs related to fatigue, sleep, and working hours among oil and gas extraction workers. Am J Ind Med 2022; 65:840-856. [PMID: 34775611 DOI: 10.1002/ajim.23310] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 10/27/2021] [Accepted: 10/29/2021] [Indexed: 02/01/2023]
Abstract
BACKGROUND During 2003-2013, 1189 US oil and gas extraction (OGE) workers died while working, resulting in an average annual workplace fatality rate seven times that for all US workers. OGE work commonly involves long hours, shiftwork, irregular schedules, and long commutes, but effects of these factors on fatigue, occupational injury, and illness in OGE are largely unknown. METHODS A scoping review of relevant OGE research during 2000-2019 was completed and supplemented by input from a NIOSH-sponsored Forum. RESULTS Seventy-eight papers were identified; 76% reported only offshore research. Five themes for research needs emerged: build knowledge about the impacts of fatigue; explore interactions between on- and off-the-job risk factors; identify and evaluate interventions; assess effectiveness of technology; and increase the diffusion of fatigue risk management information. CONCLUSIONS Further collaboration between researchers and OGE operators and contractors can lead to action-oriented recommendations to mitigate the effects of fatigue, inadequate sleep, and shiftwork.
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Affiliation(s)
- Kyla Hagan-Haynes
- Western States Division, National Institute for Occupational Safety & Health, Denver, Colorado, USA
| | - Stephanie Pratt
- Strategic Innovative Solutions LLC, Morgantown, West Virginia, USA
| | | | - Imelda Wong
- Division of Science Integration, National Institute for Occupational Safety & Health, Cincinnati, Ohio, USA
| | - Angela Baker
- Royal Dutch Shell, Human Factors, The Hague, The Netherlands
| | - David Flower
- British Petroleum, Global Health, London, United Kingdom
| | - Vanessa Riethmeister
- Royal Dutch Shell, High Risk Transport, The Hague, South Hollands, The Netherlands
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Silva L, Dias M, Folgado D, Nunes M, Namburi P, Anthony B, Carvalho D, Carvalho M, Edelman E, Gamboa H. Respiratory Inductance Plethysmography to Assess Fatigability during Repetitive Work. SENSORS 2022; 22:s22114247. [PMID: 35684868 PMCID: PMC9185634 DOI: 10.3390/s22114247] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Revised: 05/27/2022] [Accepted: 05/30/2022] [Indexed: 11/16/2022]
Abstract
Cumulative fatigue during repetitive work is associated with occupational risk and productivity reduction. Usually, subjective measures or muscle activity are used for a cumulative evaluation; however, Industry 4.0 wearables allow overcoming the challenges observed in those methods. Thus, the aim of this study is to analyze alterations in respiratory inductance plethysmography (RIP) to measure the asynchrony between thorax and abdomen walls during repetitive work and its relationship with local fatigue. A total of 22 healthy participants (age: 27.0 ± 8.3 yrs; height: 1.72 ± 0.09 m; mass: 63.4 ± 12.9 kg) were recruited to perform a task that includes grabbing, moving, and placing a box in an upper and lower shelf. This task was repeated for 10 min in three trials with a fatigue protocol between them. Significant main effects were found from Baseline trial to the Fatigue trials (p < 0.001) for both RIP correlation and phase synchrony. Similar results were found for the activation amplitude of agonist muscle (p < 0.001), and to the muscle acting mainly as a joint stabilizer (p < 0.001). The latter showed a significant effect in predicting both RIP correlation and phase synchronization. Both RIP correlation and phase synchronization can be used for an overall fatigue assessment during repetitive work.
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Affiliation(s)
- Luís Silva
- Laboratório de Instrumentação, Engenharia Biomédica e Física da Radiação (LIBPhys-UNL), Departamento de Física, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal; (M.D.); (D.F.); (H.G.)
- Correspondence:
| | - Mariana Dias
- Laboratório de Instrumentação, Engenharia Biomédica e Física da Radiação (LIBPhys-UNL), Departamento de Física, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal; (M.D.); (D.F.); (H.G.)
| | - Duarte Folgado
- Laboratório de Instrumentação, Engenharia Biomédica e Física da Radiação (LIBPhys-UNL), Departamento de Física, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal; (M.D.); (D.F.); (H.G.)
- Associação Fraunhofer Portugal Research, Rua Alfredo Allen 455/461, 4200-135 Porto, Portugal;
| | - Maria Nunes
- Associação Fraunhofer Portugal Research, Rua Alfredo Allen 455/461, 4200-135 Porto, Portugal;
| | - Praneeth Namburi
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; (P.N.); (B.A.); (E.E.)
- MIT.nano Immersion Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Brian Anthony
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; (P.N.); (B.A.); (E.E.)
- Device Realization Laboratory, Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Diogo Carvalho
- Faculty of Medicine, Rīga Stradiņš University, 16 Dzirciema iela, LV-1007 Rīga, Latvia;
| | - Miguel Carvalho
- Campus de Azurém, Minho University, 4800-058 Guimarães, Portugal;
| | - Elazer Edelman
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; (P.N.); (B.A.); (E.E.)
- Brigham and Women’s Hospital, Cardiovascular Division, 75 Francis Street, Boston, MA 02115, USA
| | - Hugo Gamboa
- Laboratório de Instrumentação, Engenharia Biomédica e Física da Radiação (LIBPhys-UNL), Departamento de Física, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal; (M.D.); (D.F.); (H.G.)
- Associação Fraunhofer Portugal Research, Rua Alfredo Allen 455/461, 4200-135 Porto, Portugal;
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Applicability of Physiological Monitoring Systems within Occupational Groups: A Systematic Review. SENSORS 2021; 21:s21217249. [PMID: 34770556 PMCID: PMC8587311 DOI: 10.3390/s21217249] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 10/24/2021] [Accepted: 10/25/2021] [Indexed: 12/17/2022]
Abstract
The emergence of physiological monitoring technologies has produced exceptional opportunities for real-time collection and analysis of workers' physiological information. To benefit from these safety and health prognostic opportunities, research efforts have explored the applicability of these devices to control workers' wellbeing levels during occupational activities. A systematic review is proposed to summarise up-to-date progress in applying physiological monitoring systems for occupational groups. Adhering with the PRISMA Statement, five databases were searched from 2014 to 2021, and 12 keywords were combined, concluding with the selection of 38 articles. Sources of risk of bias were assessed regarding randomisation procedures, selective outcome reporting and generalisability of results. Assessment procedures involving non-invasive methods applied with health and safety-related goals were filtered. Working-age participants from homogeneous occupational groups were selected, with these groups primarily including firefighters and construction workers. Research objectives were mainly directed to assess heat stress and physiological workload demands. Heart rate related variables, thermal responses and motion tracking through accelerometry were the most common approaches. Overall, wearable sensors proved to be valid tools for assessing physiological status in working environments. Future research should focus on conducting sensor fusion assessments, engaging wearables in real-time evaluation methods and giving continuous feedback to workers and practitioners.
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Cardiorespiratory and Thermoregulatory Parameters Are Good Surrogates for Measuring Physical Fatigue during a Simulated Construction Task. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17155418. [PMID: 32731366 PMCID: PMC7432684 DOI: 10.3390/ijerph17155418] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 07/23/2020] [Accepted: 07/24/2020] [Indexed: 11/17/2022]
Abstract
Cardiorespiratory (e.g., heart rate and breathing rate) and thermoregulatory (e.g., local skin temperature and electrodermal activity) responses are controlled by the sympathetic nervous system. To cope with increased physical workload, the sympathetic system upregulates its activity to generate greater sympathetic responses (i.e., increased heart rate and respiratory rate). Therefore, physiological measures may have the potential to evaluate changes in physical condition (including fatigue) during functional tasks. This study aimed to quantify physical fatigue using wearable cardiorespiratory and thermoregulatory sensors during a simulated construction task. Twenty-five healthy individuals (mean age, 31.8 ± 1.8 years) were recruited. Participants were instructed to perform 30 min of a simulated manual material handling task in a laboratory. The experimental setup comprised a station A, a 10-metre walking platform, and a station B. Each participant was asked to pick up a 15 kg ergonomically-designed wooden box from station A and then carried it along the platform and dropped it at station B. The task was repeated from B to A and then A to B until the participants perceived a fatigue level > 15 out of 20 on the Borg-20 scale. Heart rate, breathing rate, local skin temperature, and electrodermal activity at the wrist were measured by wearable sensors and the perceived physical fatigue was assessed using the Borg-20 scale at baseline, 15 min, and 30 min from the baseline. There were significant increases in the heart rate (mean changes: 50 ± 13.3 beats/min), breathing rate (mean changes: 9.8 ± 4.1 breaths), local skin temperature (mean changes: 3.4 ± 1.9 °C), electrodermal activity at the right wrist (mean changes: 7.1 ± 3.8 µS/cm), and subjective physical fatigue (mean changes: 8.8 ± 0.6 levels) at the end of the simulated construction task (p < 0.05). Heart rate and breathing rate at 15 and 30 min were significantly correlated with the corresponding subjective Borg scores (p < 0.01). Local skin temperature at 30 min was significantly correlated with the corresponding Borg scores (p < 0.05). However, electrodermal activity at the right wrist was not associated with Borg scores at any time points. The results implied cardiorespiratory parameters and local skin temperature were good surrogates for measuring physical fatigue. Conversely, electrodermal activity at the right wrist was unrelated to physical fatigue. Future field studies should investigate the sensitivity of various cardiorespiratory and thermoregulatory parameters for real time physical fatigue monitoring in construction sites.
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Mehta RK, Smith A, Williams JP, Camille Peres S, Sasangohar F. Investigating Fatigue in Offshore Drilling Workers: A Qualitative Data Analysis of Interviews. IISE Trans Occup Ergon Hum Factors 2019. [DOI: 10.1080/24725838.2019.1593896] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Affiliation(s)
- Ranjana K. Mehta
- Department of Industrial and Systems Engineering, Texas A&M University, College Station, Texas 77843-3122, USA
| | - Alec Smith
- Department of Industrial and Systems Engineering, Texas A&M University, College Station, Texas 77843-3122, USA
| | - Jason P. Williams
- Department of Industrial and Systems Engineering, Texas A&M University, College Station, Texas 77843-3122, USA
| | - S. Camille Peres
- Department of Environmental and Occupational Health, Texas A&M University, College Station, Texas 77843-3122, USA
| | - Farzan Sasangohar
- Department of Industrial and Systems Engineering, Texas A&M University, College Station, Texas 77843-3122, USA
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Shortz AE, Mehta RK, Peres SC, Benden ME, Zheng Q. Development of the Fatigue Risk Assessment and Management in High-Risk Environments (FRAME) Survey: A Participatory Approach. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:E522. [PMID: 30781731 PMCID: PMC6406396 DOI: 10.3390/ijerph16040522] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Revised: 02/02/2019] [Accepted: 02/10/2019] [Indexed: 12/26/2022]
Abstract
Existing risk assessment tools are not effective or sustainable in identifying Oil and Gas Extraction (OGE) workers at high risk of fatigue-related injuries or incidents. We developed a comprehensive Fatigue Risk Assessment and Management in high-risk Environments (FRAME) survey through an industry-academic participatory approach. The FRAME survey was developed through: (1) systematic gathering of existing fatigue scales; (2) refining the inventory using the Delphi Consensus technique; and (3) further refinement through employee/worker focus groups. The participatory approach resulted in a final FRAME survey across four fatigue dimensions-sleep, shiftwork, physical, and mental fatigue, and was composed of 26 items. The FRAME survey was founded on occupational fatigue science and refined and tailored to the OGE industry, through rigorous industry stakeholder input, for safer, effective, practical, and sustainable fatigue assessment and management efforts.
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Affiliation(s)
- Ashley E Shortz
- Department of Environmental and Occupational Health, Texas A&M University, College Station, TX 77843, USA.
| | - Ranjana K Mehta
- Department of Industrial and Systems Engineering, Texas A&M University, College Station, TX 77843, USA.
| | - S Camille Peres
- Department of Environmental and Occupational Health, Texas A&M University, College Station, TX 77843, USA.
| | - Mark E Benden
- Department of Environmental and Occupational Health, Texas A&M University, College Station, TX 77843, USA.
| | - Qi Zheng
- Department of Epidemiology and Biostatistics, Texas A&M University, College Station, TX 77843, USA.
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13
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Kannan P, Quddus N, Peres SC, Mannan MS. Can We Simplify Complexity Measurement? A Primer Towards Usable Framework For Industry Implementation. ACTA ACUST UNITED AC 2018. [DOI: 10.1177/1541931218621194] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The development of systems with complex interactions has led to limitations which are reflected in performance including reliability and safety of the systems. Concurrent developments of frameworks to represent and analyze complexity have aided the understanding of complexity in human-machine systems. The methodology and framework presented is proposed to aid the design of experiments to establish causative relationships of complexity attributes with performance and further deployment in industry. The framework leverages three independent measurement paradigms, at the worker level, interaction level, and task level to classify twenty measurable complexity attributes. Their deployment in key performance indicator (KPI) frameworks and procedure writer’s guides are discussed.
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Affiliation(s)
- Pranav Kannan
- Mary Kay O’Connor Process Safety Center, Artie McFerrin Department of Chemical Engineering
| | - Noor Quddus
- Mary Kay O’Connor Process Safety Center, Artie McFerrin Department of Chemical Engineering
| | - S. Camille Peres
- Department of Environmental and Occupational Health, School of Public Health Texas A&M University, College Station, TX 77840-3122
| | - M. Sam Mannan
- Mary Kay O’Connor Process Safety Center, Artie McFerrin Department of Chemical Engineering
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Mehta RK, Peres SC, Shortz AE, Hoyle W, Lee M, Saini G, Chan HC, Pryor MW. Operator situation awareness and physiological states during offshore well control scenarios. J Loss Prev Process Ind 2018. [DOI: 10.1016/j.jlp.2018.07.010] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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