|Year : 2021 | Volume
| Issue : 4 | Page : 198-203
Relation of work stressors and work-related MSDs among Indian heavy vehicle drivers
Ravinder Kumar1, Rohit Sharma2, Vikas Kumar2, Abid Ali Khan3
1 Research Scholar, Amity University, Noida, Uttar Pradesh, India
2 Department of Mechanical Engineering, Amity University, Noida, Uttar Pradesh, India
3 Department of Mechanical Engineering, ZHCET, Faculty of Engineering and Technology, Aligarh Muslim University, Aligarh, Uttar Pradesh, India
|Date of Submission||15-May-2020|
|Date of Decision||20-Jun-2020|
|Date of Acceptance||17-Sep-2020|
|Date of Web Publication||31-Dec-2021|
Dr. Rohit Sharma
Department of Mechanical Engineering, Amity University, Noida - 201313, Uttar Pradesh
Source of Support: None, Conflict of Interest: None
Aims: The aim of the study was to identify the relation of work stressors and work-related musculoskeletal disorders (WRMSDs) among the heavy vehicle drivers. Methods and Material: The study involved 154 bus drivers and 161 truck drivers of India. A specially designed questionnaire was used to assess the physical and psychosocial work stresses, job diagnostics, driving hazards, physical environment, and WRMSDs. Statistical Analysis Used: The odds ratios (OR) and development percentage of the test measurements were calculated in the descriptive statistics. The binary logistic regression and Pearson correlation test were used for the data analysis. Results: The results of this study showed that the WRMSDs among the truck drivers were higher than those among the bus drivers. The bus drivers were more likely to develop pain in their arms, while the truck drivers were more likely to suffer from neck, shoulders, legs, lower back, and upper back pain. Results from statistical analysis indicated that age, driving hours, physical fatigue, vehicle design, domestic pressure, and growth opportunities had a significant impact on the development of WRMSDs in the bus drivers. While, in the case of truck drivers, it was found that driving hours, tenure, vibration, physical fatigue, mental overload, and job dissatisfaction were significant. Conclusions: The study concludes that the work stressors are associated with different types of MSDs, and the level of MSDs differs significantly between the bus and truck drivers.
Keywords: Bus drivers, musculoskeletal disorders, psychosocial, truck drivers, work stressors
|How to cite this article:|
Kumar R, Sharma R, Kumar V, Khan AA. Relation of work stressors and work-related MSDs among Indian heavy vehicle drivers. Indian J Occup Environ Med 2021;25:198-203
|How to cite this URL:|
Kumar R, Sharma R, Kumar V, Khan AA. Relation of work stressors and work-related MSDs among Indian heavy vehicle drivers. Indian J Occup Environ Med [serial online] 2021 [cited 2022 Aug 8];25:198-203. Available from: https://www.ijoem.com/text.asp?2021/25/4/198/334686
| Introduction|| |
Work-related musculoskeletal disorders (WRMSDs) are disorders of muscles, nerves, tendons, joints, cartilage, and spinal discs associated with exposure to various risk factors in the workplace. Numerous studies have identified an adverse association between the drivers' health and their job due to a wide range of factors like whole-body vibration exposure, awkward posture, long-term seating, road condition, and MSDs., Drivers having high weight or being aged have higher chances of the prevalence of MSDs.
Work stress has negative effects on drivers' physical and psychological health. MSDs among the bus and truck drivers around the world have emerged as a major health problem. These disorders affect various parts of the body, such as neck, shoulders, upper and lower back, arms, and legs. The symptoms of these disorders are discomfort and pain.,
The aim of this study was to identify various aspects of work stressors and explores their relationship with the development of MSDs among the bus and truck drivers as well as the existence of any difference of MSD levels in the two types of drivers.
| Subjects and Methods|| |
For this cross-sectional study, a total of 188 bus drivers and 191 truck drivers were invited from selected districts of Haryana and National Capital Region (NCR) to represent the study population [Table 1]. But, for various reasons, 34 bus drivers and 30 truck drivers did not participate. So a total of 315 drivers (154 bus and 161truck) were selected by using a convenience sampling method. The questionnaire was explained to most drivers who were unable to understand the English language in their local dialect. At the start of the study, informed consent was obtained from each subject. Most of the drivers were from low and medium economic backgrounds.
|Table 1: Number of subjects and reasons for not participating in the study|
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An interviewer-administered questionnaire was specifically designed to collect data from the drivers. The predominance of self-reported MSDs among drivers was assessed by a National Institute for Occupational Safety and Health (NIOSH) checklist. The drivers needed to respond to questions about the severity of pain in the course of recent months, absenteeism or loss of productivity because of pain, their findings about the reason for pain, and the types of medicinal measures used to relieve pain. The severity of pain was measured on a scale of 1–4 (mild, moderate, severe, and intolerable) and productivity loss was measured in terms of limited duties and number of lost working days.
To distinguish the characteristics of work and stressors, a multi-method ergonomic checklist was used. The ergonomics checklist consisted of questions on job characteristics, job diagnostic dimensions, physical and psychosocial job stresses, physical environment hazards, and workplace constraints. The checklist queries were answered on a 5-point Likert scale, where '1' mean strong disagreement with the query and '5' meant strong agreement with the query. The positive indicator of the lack of stress on the subject was a low score. The relative loading of scores for each checkpoint segment was calculated by dividing the actual total score with the maximum total score of the segment. For each of the work stressors, the relative loadings would range from 0 to 1, and each work aspect loading ≥0.5 would be measured as a stressor.
Statistical analysis used
The data collected were examined using SPSS for Windows version 22.0. The odds ratios (OR) and development percentage of the test measurements were calculated in the descriptive statistics. As test measures, the subject group's personal characteristics, physiological and psychosocial stressors were included. To check data normality, the Kolmogorov–Smirnov (K–S) test was used. The data were normally distributed for most factors (P < 0.05) for both the bus and truck drivers. The binary logistic regression was performed using the backward elimination method to determine the effect of work stressors and work characteristics on the generation of MSDs. Using the Pearson correlation test, the relationship between work stressors and MSDs was found. ANOVA was used to compare the responses of the bus and truck drivers to different work stressors. The Cronbach's alpha values of the ergonomics checklists for the bus and truck drivers varied from 0.669 to 0.714, showing modest to acceptable reliability.
The study was approved by the Institutional Ethics Committee (IEC), Amity University Noida, India on 01 August 2019.
| Results|| |
[Table 2] shows the personal characteristics of the drivers selected for analyzing work stressors. The values of average age and driving tenure for the truck drivers were significantly higher (P < 0.02) than for the bus drivers. The truck drivers were more in the habit of tobacco chewing than the bus drivers (P < 0.05). The Bus drivers were more qualified than the truck drivers (P < 0.02).
MSDs among drivers
[Figure 1] illustrates that approximately 39.4% of the bus drivers and 42% of the truck drivers reported WRMSDs. The bus drivers were more prone to develop arms pain (24.75%,) as compared to the truck drivers (18.75%). However, the truck drivers were more prone to develop legs pain (24.5%), lower back pain (45.25%), neck pain (24%), shoulder pain (25.25%), and upper back pain (28%) as compared to the bus drivers, which is evident from the percentages, i.e., 17% bus drivers develop legs pain, 41.5% lower back pain, 21.5% neck pain, 24.75% shoulders pain, and 26.75% upper back pain.
Personal characteristics and MSDs among drivers
[Table 3] illustrates that the bus drivers having age >40 years (P < 0.05) and driving for more than 9h (P < 0.001) had significantly higher chances of developing MSDs, while the truck drivers driving for more than 9h (P < 0.001) and driving tenure more than 15 years (P < 0.05) had significantly higher chances of MSDs. In the case of both bus and truck drivers, education, marital status, smoking, tobacco chewing, and alcohol consumption had no significant impact on MSDs. The truck drivers (OR 4.4) experienced greater productivity loss due to pain caused by the loss of working days. The vibration (OR 2.9, P < 0.005) and driving tenure (OR 3, P < 0.005) for the truck drivers showed higher pain-related significance. Drivers were indifferent to the remedial measures, and there was no clear difference between the two types of drivers about the type of measure used for pain-relieving [Table 4].
Drivers' working characteristics and WRMSDs
The ergonomics checklist revealed the driver's multiple working characteristics. The responses of the drivers to the work stressors are shown in [Figure 2]. The bus drivers identified workplace design (P < 0.001) as more stressful than the truck drivers, whereas the truck drivers identified job specialization (P < 0.001), skill requirement (P < 0.001), physical work (P < 0.001). MMH (P < 0.001), work posture (P < 0.05), noise (P < 0.01), work environment (P < 0.05), vibration (P < 0.001), driving schedule (P < 0.001), vehicle control (P < 0.05), vehicle characteristics (P < 0.001), growth opportunities (P < 0.001), organizational commitment (P < 0.01), and psychosocial personal aspects (P < 0.001) as significantly stressful.
|Figure 2: Responses of bus and truck drivers on work characteristics. Notes: *P < 0.05, **P < 0.01, ***P < 0.001|
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Relation between driver's psychosocial variables and WRMSDs
More than 12–50% of the drivers complained of physical fatigue. For both the bus (OR 22.8, P < 0.05) and truck drivers (OR 59.2, P < 0.001), physical fatigue was positively associated with MSDs development in one or more body regions [Table 5]. For the bus drivers, there was a positive association between domestic pressure (OR 4.2, P < 0.05) and growth opportunities (OR 19.7, P < 0.001) to develop MSDs. The occurrence of MSDs was significantly affected by mental overload (OR 19.2, P < 0.05), and job dissatisfaction (OR 6.6, P < 0.02) among the truck drivers. The irregular working hours, fear and anxiety, task clarity, job autonomy, and social recognition did not have any significant impact on MSDs generation.
The correlation coefficient for the work stressors and the MSDs generation was calculated. [Table 6] shows the coefficients of correlation that are statistically significant. Workplace design (OR 4.7, P < 0.001), work posture (OR 5.7, P < 0.001), noise (OR 4.1, P < 0.05), work environment (OR 8.8, P < 0.001) and vibration (OR 8, P < 0.01) contributed significantly to pain generation among drivers in one or more body regions.
| Discussion|| |
This study indicates that the development of MSDs among the bus and truck drivers are the result of the multiple work stress aspects. Both the bus and truck drivers are engaged with various strenuous activities, which cause musculoskeletal problems in their bodies, thereby leading to the problem of absenteeism and accidents on the roads. These accidents may become very valuable to the government or transport company and disability to the drivers for continuing with their job.
MSDs are the manifestations of the ergonomic hazards and are the main cause of the disability of drivers. WRMSDs are the major medical problems among the drivers in both the industrialized and industrially developing nations. Study by Heinrich showed that the major cause of accidents is the human factor. MSDs showed statistical significance in work duration, age, and BMI.
Truck drivers reported higher levels of pain in legs, lower back. neck, shoulders, and upper back in comparison to bus drivers in this study. This might be due to the higher levels of physical work (including MMH) performed by the truck drivers and their irregular driving and break schedules. A study by Okunribido also confirms the role of MMH in increasing LBP levels.
Different work stressors are found to play a major role in causing MSDs among the bus and truck drivers. This study indicates a real difference in how the bus and truck drivers behaved with the work stressors. The study proves that psychosocial variables play a role in the difference between the bus and truck drivers. The study has observed that age (>40 years) and driving hours (>9 h) positively affect MSDs among the bus drivers, while driving hours (>9h) and driving tenure (>15 years) positively impact the occurrence of MSDs among the truck drivers. Statistically significant determinants of MSDs related complaints are the age and years of driving profession. MSDs are associated with vibration exposure and poor ergonomics of city bus cabins. Vibrations during driving are responsible for the drivers' cervical herniated discs and upper extremities problems.
Psychosocial stressors are related not only to psychosomatic complaints and symptoms of poor health, but also to acute and chronic MSDs. The relation between work-related psychosocial stressors and individual driver characteristics was also found by Montoro.
As a cause of WRMSDs, the truck drivers are more likely to have mental overload and job dissatisfaction compared to the bus drivers, who are more disturbed by domestic pressure and lack of growth opportunities. Among the bus and truck drivers, the effect of physical fatigue in generating MSDs was also observed. Different adverse health indicators, job stress, and performance problems among professional drivers were associated with fatigue.
The results of the correlation analysis revealed a significant relationship between work characteristics and MSDs, validating that musculoskeletal pain and discomfort are the consequences of the interaction of multiple stressors related with working and physical environment as well as some of the personal characteristics.
Thus, from the study of work stressors, it can be concluded that in order to prevent drivers from musculoskeletal problems and increase their productivity, the concept of identifying work stressors among drivers should be introduced for the benefit of both drivers and the transport industry.
This work will help in identifying the work stressors among the drivers. The study will help in reducing the accidents and MSDs among drivers.
Financial support and sponsorship
Conflicts of interest
There are no conflicts of interest.
| References|| |
Bureau of Labor Statistics News, United States Department of Labor. Nonfatal occupational injuries and illnesses requiring days away from work for State government and local government workers. 2008. Available from: http://www.bls.gov/iif/home.htm
Prado-Leon LR, Aceves-González C, Avila-Chaurand R. Occupational driving as a risk factor in low back pain: A case-control study in a Mexican population. Work 2008;31:387-96.
Tiemessen IJ, Hulshof CT, Frings-Dresen MH. An overview of strategies to reduce whole-body vibration exposure on drivers: A systematic review. Int J Ind Ergon 2007;37:245-56.
Sadeghi N, Habibi E, Sajjadi S. The relationships between musculoskeletal disorders and anthropometric indices in public vehicle drivers. Int J Collab Res Intern Med Public Health 2012;4:1173-84.
Krause N, Ragland DR, Greiner BA, Syme L, Fisher JM. Psychosocial job factors associated with back and neck pain in public transit operators. Scand J Work Environ Health 1997;23:179-86.
Lee JH, Gak, HB. Effect of self-stretching on pain and musculoskeletal Symptoms of bus drivers. J Phys Ther Sci 2014;26:1911-4.
Massaccesi M, Pagnotta A, Soccetti A, Masali M, Masiero C, Greco F. Investigation of work-related disorders in truck drivers using RULA method. Appl Ergon 2003;34:303-7.
Cohen AL. Elements of Ergonomics Programs: A Primer based on Workplace Evaluations of Musculoskeletal Disorders. DIANE Publishing; 1997.
Nag PK. Work systems-checklists. In: ILO Encyclopedia of Occupational Health and Safety. Geneva International Labour Organization; 1998. p. 29-14.
Nag A, Vyas H, Nag PK. Gender differences, work stressors and musculoskeletal disorders in weaving industries. Ind Health 2010;48:339-48.
Henrich HW. Industrial accident prevention; a scientific approach. In: Industrial Accident Prevention; A Scientific Approach. McGraw-Hill; 1959.
Mozafari A, Vahedian M, Mohebi S, Najafi M. Work-related musculoskeletal disorders in truck drivers and official workers. Acta Medica Iranica 2015;53:432-8.
Okunribido, OO, Magnusson M, Pope MH. Low back pain in drivers: The relative role of whole-body vibration, posture and manual materials handling. J Sound Vib 2006;298:540-55.
Kompier M, de Vries M, van-Noord F, Mulders H, Meijman T, Broersen J. Physical work environment and musculoskeletal disorders in the bus drivers profession. Musculoskeletal Disorders at Work. London, New York: Taylor and Francis; 1987. p. 17.
Lan FY, Liou YW, Huang KY, Guo HR, Wang JD. An investigation of a cluster of cervical herniated discs among container truck drivers with occupational exposure to whole-body vibration. J Occup Health 2016;58:118-27.
Houtman IL, Bongers PM, Smulders PG, Kompier MA. Psychosocial stressors at work and musculoskeletal problems. Scand J Work Environ Health 1994;20:139-45.
Montoro L, Useche S, Alonso F, Cendales B. Work environment, stress, and driving anger: A structural equation model for predicting traffic sanctions of public transport drivers. Int J Environ Res Public Health 2018;15:497.
Useche SA, Cendales B, Gómez V. Measuring fatigue and its associations with job stress, health and traffic accidents in professional drivers: The case of BRT operators. EC Neurol 2017;4:103-18.
[Figure 1], [Figure 2]
[Table 1], [Table 2], [Table 3], [Table 4], [Table 5], [Table 6]