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Prevalence of musculoskeletal disorders among taxi drivers in Yaoundé, Cameroon: preventive effect of physical activity

Abstract

Background

Musculoskeletal Disorders (MSDs) are very common conditions in the workplace. Among professional drivers, there would be an increased risk of developing these disorders. Identifying the associated factors would allow us to better devise effective prevention strategies. Our objective was to determine the prevalence of MSDs among taxi drivers in the city of Yaoundé and to search for associated factors, mainly the level of physical activity.

Methods

We conducted an analytical cross-sectional study of 151 adult male professional taxi drivers. We used a non-probabilistic consecutive and non-exhaustive sampling method. Sociodemographic, anthropometric and occupational data were collected. MSDs over the past 12 months were assessed using the Nordic Questionnaire and physical activity level was determined by the World Health Organization (WHO) Global Physical Activity Questionnaire (GPAQ). Univariate logistic regression models, followed by a multivariate logistic regression, were used to determine factors associated with the presence of MSDs.

Results

The overall prevalence of MSDs was 86.8% (95% CI 80.8 – 91.4); the most affected areas were mainly the lower back (72.8%) the neck (42.4%), and the knees (29.1%). Job dissatisfaction was associated with MSDs (OR = 2.1 95%CI = 1.1–3.9). Most taxi drivers (62.9%) had a low physical activity level and no association was found between the physical activity level and MSDs.

Conclusions

MSDs are common ailments among taxi drivers in Yaoundé (Cameroon). There is a need to think about how to address job dissatisfaction and better identify other associated factors in order to define good prevention strategies.

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Background

Musculoskeletal disorders (MSDs) are disorders of the musculoskeletal system resulting from a number of factors wherein the work environment and working contribute significantly in different measures to the cause of the disease [1]. They refer to a number of heterogeneous conditions presenting primarily with pain whose severity varies from mild periodic symptoms to severe chronic and debilitating conditions [2]. They are the most common pathologies encountered at the workplace. In Europe, out of every five workers, three complain of MSDs [3]. They cause an alteration in the quality of life, a drop in productivity at work, early withdrawal from the workplace, and represent a high cost for the health system. The United States estimates that approximately $45 billion is the annual expenditure related to this condition [4]. Moreover, they are ranked first among the conditions that lead to prolonged absenteeism from work [4]. In Africa, a prevalence range of 15–93% has been found depending on the field of work [5]. In Cameroon, in the health, railway, education, and handling sectors, a prevalence ranging from 74 to 100% [6,7,8,9] has been reported. In a study among nurses in the Fako division of the South West region of Cameroon, 50% of them stated that MSDs slowed down their activities at work, 37.5% declared that this led to a decrease in the efficiency of nursing care provided and 12.5% ​​had been absent from work because of the condition [10].

In developed countries, MSDs have been controlled thanks to a better assessment of the nature of work-related risk factors and of protective factors, which has led to good preventive measures [11]. In addition to the positive effects of physical activity on the primary and secondary prevention of many chronic and debilitating diseases such as diabetes, cardiovascular diseases, stroke, cancer, and depression [12, 13], some studies have shown the sure benefit of physical activity as a complementary modality for managing MSDs [14,15,16]. Other studies have suggested that regular physical activity is associated with a lower incidence of MSDs in workers [17, 18]. This would therefore imply that an optimal level of physical activity could be an effective primary and secondary prevention strategy.

In all known fields of work, professional driving has been described as being associated with an increased risk of MSDs compared to the general population [19]. Indeed, a prolonged sitting position, the car’s vibrations, a poor posture, the carrying of loads, and work-related stress have been identified as factors favoring the occurrence of these disorders [20]. Worldwide, a prevalence ranging from 51–93% has been reported among professional drivers [21]. Few studies have been carried out in sub-Saharan Africa to assess the prevalence of MSDs in this occupation, let alone the associated factors whose identification would help to devise effective prevention strategies based on empirical data. We therefore proposed to determine the prevalence of MSDs within a population of professional drivers, in this case, taxi drivers in the city of Yaoundé, as well as their physical activity level, and to look for an association between the two primarily, and secondarily look for other associated factors.

Methods

Participants

This cross-sectional study was conducted between February 2021 and June 2021 at various taxi drivers Union and taxi stands in Yaoundé, the capital city of Cameroon. All the participants recruited in the study were male drivers with at least one year experience of driving taxi, who had no history of traumatic road or work accidents and aged 21 years or more.

Procedure

The participants in this study were contacted at the headquarters of the drivers’ Union while doing their meetings. All consented participants were evaluated using a five-part questionnaire that included the Nordic Musculoskeletal Questionnaire (NMQ). In all, a total of 151 had completed and evaluable questionnaire by a face-to-face interview.

The study participants were recruited through their respective unions. These unions organize regular meetings between their members and it was during these meetings that we collected the data. The data collection form included a questionnaire on socio-demographic characteristics, occupational characteristics of the taxi driver, MSD assessment, level of physical activity and anthropometric parameters. Socio-demographic and occupational characteristics were collected through questions. The assessment of MSDs was done with the Nordic questionnaire proposed in 1987 by Kuorinka, I. and subsequently adapted. It was designed to answer the question: "Do musculoskeletal disorders occur in a given population, and if so, in which parts of the body are they located? The questionnaire presents a figure of the human body with nine anatomical regions (three in the upper limbs, three in the lower limbs and three in the trunk) in order to help the subject being assessed to answer "yes" or "no" regarding the presence or absence of MSD symptoms for the different regions of the body over the last 12 months and then over the last 07 days, as well as the impact on work activity. It has been documented as having acceptable validity and reliability [22, 23]. It is widely used in occupational medicine to assess MSDs. The physical activity level of the taximen was assessed by the Global Physical Activity Questionnaire (GPAQ) developed by the WHO. It collects information on physical activity in the following three situations (or domains): activities at work, moving from one place to another, leisure activities and by means of algorithms to determine the physical activity level of an individual The questionnaire has been tested and found to be valid and reliable for epidemiological purposes in adults [24]. Weight and height were measured to assess weight status through the calculation of the body mass index.

Statistical analysis

Data entry was done in Cs Pro 7.5 and analysis in SPSS (Statistical Package for the Social Sciences) 20.0. Prevalence’s were reported as percentages with 95% confidence intervals. To search for factors associated with MSDs, Univariate logistic regression models has been done primarily followed by a multivariate logistic regression with all the variable that had association with p value < 0.2, Chi-square test was used to check the significance. Fischer test was used when one or more of the numbers in the contingency table were less than five. Significant differences were considered at last for a p-value < 0.05.

Ethical consideration

Following administrative procedures that resulted in the issuance of an ethical clearance No. 2073/CSRDHRC/2021 from the Regional Research Ethics Committee for Human Health of the Centre and in obtaining research authorizations from the presidents of the taxi drivers' unions, the research was conducted in accordance with the ethical principles of the European Union. The study was carried out in strict compliance with the fundamental principles of medical research according to Helsinki’s Declaration.

Results

The average age of the taxi drivers who participated in our study was 39.3 ± 8.1 years with a minimum of 23 years and a maximum of 58 years. The most represented age group was that of [30–40[ years with a percentage of 41.7%. In our study population, nearly two-third of the participants had a high school education level. The majority of participants (45.7%) were overweight and 27.8% were obese. Among the taxi drivers participating in the study, 43% had been in this profession for more than 15 years. The working hours varied from 3 to 20 h, with an average of 9.2 ± 2.4 h. These taxi drivers cumulatively worked 21 to 140 h weekly, with an average of 56.9 ± 17.6 h. More than half of the taxi drivers had a low level of physical activity (62.9%). Almost a third had a moderate level of physical activity (30.5%) and only 6.6% had a vigorous level of physical activity (Table 1).

Table 1 Sociodemographic and work related information on the surveyed taxi drivers

The overall prevalence of musculoskeletal disorders in the last 12 months was 86.8% (95% CI 80.8–91.4). Among the participants, 57% complained of musculoskeletal pain in the past seven days. Nearly a third (32.1%) of the subjects having had a complaint of pain in the last 12 months stated that they had stopped work earlier on certain days due to the pain. Finally, 20.6% of taxi drivers affected by MSDs were absent from work because of pain (Table 2).

Table 2 Distribution of participants according to reported MSDs symptoms and its impact on work for the past 12 months

Participants with a low physical activity level had a greater proportion of people affected by MSDs but this difference was not significant. For the lower back and neck regions, we did not find a significant association between the physical activity level and MSDs (Table 3).

Table 3 Association between physical activity level and MSDs

Age over 39 years and obesity increased the risk of having MSDs in our study population, but these associations were not significant (p > 0.05).

Having more than 12 years of job tenure and the common habit of taking naps in the taxi increased the risk of having MSDs in our study population, but these associations were not significant (p > 0.05) (Table 4).

Table 4 Personals and professional characteristics and MSDs

Taxi drivers who were dissatisfied with their jobs were three times more likely to develop musculoskeletal disorders and this association was close to significance in bivariate analysis (OR = 3.3, 95% IC = 0.9–12.5) (Table 5).

Table 5 Workplace comfort, psycho-social factors and MSDs (self-reported)

On multivariate analysis, job dissatisfaction clearly emerged as the sole factor significantly associated with MSDs (Table 6).

Table 6 Logistic regression analysis of sociodemographic and professional factors associated to MSDs

Discussion

The objective of this study was to determine the prevalence of musculoskeletal disorders (MSDs) among taxi drivers in Yaoundé (Cameroon) and the factors associated to them. We carried out an analytical cross-sectional study and the prevalence found was 86.8%. The most affected area of ​​the body was the lower back. Job dissatisfaction was associated with a higher frequency of MSDs. Most taxi drivers (62.9%) had a low physical activity level and we did not find a significant association between the level of physical activity and MSDs.

The overall prevalence of MSDs among taxi drivers was 86.8%. This prevalence is found in the prevalence range of MSDs among professional drivers reported in the literature. Leonard et al. and Zulkarnain et al. in their respective reviews on MSDs in professional drivers found prevalences ranging between 43.1% and 93% [21, 25]. This large interval can be explained by the data collection method chosen. In some studies, participants having reported of pain or any other related complaint (limiting mobility or discomfort) frequently during the course of the year or who reported that the complaint lasted at least 24 consecutive hours were counted as having MSDs [26, 27]. In the above-mentioned studies, the overall prevalence was lower than in those which, like ours, took into consideration any occasional musculoskeletal symptom reported by the professional driver. Knowing that before becoming chronic, the clinical expression of MSDs vary greatly with time and the prognostic factors are poorly known, it seemed important to us to report all the possible cases [28]. Abledu et al. [29] using an approach identical to ours found a prevalence of 70.5% among taxi drivers in Ghana. Similarly, Akinpelu et al. [30] found a prevalence of 89.3% among professional drivers (bus, taxi) in Nigeria. These two results are similar to ours. The high prevalence found in our study as everywhere else confirms the hypothesis that professional drivers are at high risk of developing MSDs.

The back region was the most affected region as described in the literature [21]. In professional drivers, the back region would be the major site because they have many risk factors for spinal pain compared to the general population, mainly due to vehicle vibrations and also a sedentary lifestyle [31]. Furthermore, in our study, we found a prevalence of 72.8%, which is higher than the 56% estimated in a meta-analysis carried out by Leonard et al. in a systematic review on the prevalence of MSDs among professional drivers in 04 continents [21]. Our result was different from those found in Ghana and Nigeria where their prevalence were 34.3% and 30% respectively [29, 30]. This difference can be explained by the fact that there were differences in the job tenures of the professional drivers in the different study populations. In the study carried out in Ghana, less than 2% of taxi drivers had worked for more than 12 years; in Nigeria, only 25% of the professional drivers had a job tenure of more than 15 years. Conversely, in our study, almost half of the taxi drivers (43%) had worked for more than 15 years. As MSDs result from chronic exposure to various risk factors, the accumulation of these exposures year after year in their work environment would explain a higher incidence among our participants [31]. In addition, a majority of our participants were overweight (47.5%) and 25.8% were obese. This would also tend to explain the high prevalence of MSDs among our study participants. Overweight, in addition to being a cardiovascular risk factor, has been shown to increase the risk of back pain due to the increased physical load exerted on articular discs and the musculoskeletal system of the spine in particular [32, 33].

MSDs were also frequently reported in the neck and knee regions with their prevalences being 42.4% and 29.1% respectively. These results are similar to those of Szeto et al. who found prevalences of 55.6% and 35% among bus drivers in Japan [34]). Magnusson et al. in their study of taxi drivers in Switzerland found the prevalence MSDs of the neck to be 40% [20]. Raanas et al. found a prevalence of 57.8% in the neck region among taxi drivers in Norway [19]. Chen et al. found the prevalence of MSDs of the knee to be 19% in Taiwan [35]. All these results are similar to ours, and from this uniformity one could deduce that the different regions of the body would be subjected to similar exposures irrespective of the professional driver’s horizon.

In our study, 62% of participants had a low physical activity level. Similarly, Marcelo et al. in their study in Brazil reported that 69.84% of taxi drivers had a physical activity level below the WHO recommendations which recommend a minimum of 150 min of moderate physical activity or 75 min of intense physical activity per week in order to derive substantial health benefits [36]. This low physical activity level among professional drivers could be explained by their heavy workload, making them unavailable for sporting activities. In our study, 56.3% of taxi drivers worked daily and 58.3% were employees. The status of employee does not confer much decision-making freedom regarding the worker’s time use; Marcelo et al. also found that a great number of taxi drivers in Brazil worked every day (43.6%) and when asked the reason for their low physical activity level, the majority of them mentioned the heavy workload [36].

The physical activity level was not significantly associated with MSDs. In contrast, Wang et al. reported that taxi drivers who had at least one hour of daily physical activity had less back pain than the others and this difference was significant (OR = 2 p < 0.001) [37]. Similarly, Raanaas et al. found that a low physical activity level was associated with a high frequency of MSDs among taxi drivers in Norway (OR = 1.99 CI = 1.24–3.19) [19]. This disparity in results can be explained by the difference in sample size of the different studies. Indeed, these two studies that found an association, were done on large sample sizes, one of which was 719 and the other 929. However, in our study where this association was not found, the sample size was 151. This could explain the difficulty in highlighting an association. Studies should be performed on larger sample sizes in order to empirically clarify the role of physical activity in the prevention of MSDs.

Job dissatisfaction was a factor independently associated with MSDs (OR = 2.1 CI = 1.1–3.9). Job dissatisfaction generates additional stress in the worker. Stress leads to an increase in muscle tone by acting on the nervous and endocrine systems. It also leads to the release of catecholamines which are vasoconstrictive and the release of inflammatory cytokines. All these mechanisms contribute to increase the biomechanical load of the musculoskeletal system while limiting the repair of micro-injuries due to a lack of blood supply and the presence of inflammation [28]. Zulkarnain et al. in a review of bus drivers showed that job dissatisfaction and perceived stress were factors frequently associated with MSDs [25]. In 2014, Abledu et al. found that those taxi drivers who perceived their work as stressful and reported being dissatisfied with their work had an increased prevalence of MSDs compared to others [OR = 2.3 (1.5–3.0) OR = 2.0 (1.3–3.6)] [29]. In Furthermore, work-related stress contributes to the high prevalence of cardiovascular events [38,39]. There is a need to think about how to address job dissatisfaction and other sources of stress and their solutions would be beneficial for better health among taxi drivers.

Although not statistically significant, the habit of frequent napping increased the risk of having MSDs (OR = 4.5). Napping in the taxi lead to poor postures. These poor postures lead to an excessive force exerted on the joints and the overload of adjacent muscles and tendons [38]. Raanaas et al. found that taxi drivers who reported having frequent naps in the taxi had a higher prevalence of MSDs (OR = 1.63 CI = 1.17–2.26) [19]. It would therefore be wise for taxi drivers to limit naps in the taxi for better musculoskeletal health. Similarly, job tenure greater than 12 years was associated with MSDs (OR = 2.5) and this association was close to significance (p = 0.059). The cumulative effect of years of exposure is thought to be the cause [31]. Similarly, Zulkarnain et al. found in a systematic review among the 14 types of professional drivers including taxi drivers that seniority in the profession was associated with a higher prevalence of MSDs [25]. Other associated factors such as prolonged working hours, the carrying of loads and perceived work-related stress have been found in other studies but not in ours. This would probably be explained by the size of our sample which did not allow us to unveil further statistically significant associations.

This study has certain limitations. The type of study carried out as well as our sample size did not allow us to properly assess the effect of professional, personal factors and further psychosocial factors in the incidence of musculoskeletal disorders.

Conclusions

The overall prevalence of MSDs among taxi drivers in the city of Yaoundé was 86.8% over the past 12 months; the back region was the most affected with a prevalence of 72.8%; Job dissatisfaction was associated with high risk of MSDs. The majority of taxi drivers had a level of physical activity below the WHO recommendations; No significant association was found between physical activity level and MSDs. In order to better guide prevention strategies, analytical and longitudinal studies comprising a clinical assessment would be a better way to objectify the presence of MSDs, identify all its risk factors and their impact on the occurrence of MSDs.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

MSDs:

Musculoskeletal disorders

GPAQ:

Global physical activity questionnaire

WHO:

Word health organization

References

  1. Diseases WEC on I and C of WR, Organization WH. Identification et prévention des maladies liées à la profession : rapport d’un Comité d’ experts de l’ OMS [réuni à Genève du 28 novembre au 2 décembre 1983] [Internet]. Genève : Organisation mondiale de la Santé; 1985 [cité 4 juin 2021]. Disponible sur: https://apps.who.int/iris/handle/10665/40231

  2. Musculoskeletal disorders and workplace factors. A critical review of epidemiologic evidence for work-related musculoskeletal disorders of the neck, upper extremity, and low back. 6 oct 2020 [cité 27 mars 2021]; Disponible sur: https://www.cdc.gov/niosh/docs/97-141/default.html

  3. European Agency for Safety and Health at Work. Work-related musculoskeletal disorders: prevalence, costs and demographics in the EU [Internet]. Publications Office of the European Union; 2019. Disponible sur: https://osha.europa.eu/sites/default/files/publications/documents/Work-related_MSDs_prevalence_costs_and_demographics_in_the_EU_report.pdf

  4. Work-Related Musculoskeletal Disorders & Ergonomics | Workplace Health Strategies by Condition | Workplace Health Promotion | CDC [Internet]. 2020 [cité 18 mars 2021]. Disponible sur: https://www.cdc.gov/workplacehealthpromotion/health-strategies/musculoskeletal-disorders/index.html

  5. Wanyonyi NEN, Frantz J. Prevalence of work-related musculoskeletal disorders in Africa: a systematic review. Physiotherapy. 1 mai 2015;101:e1604‑5.

  6. Mbang Bian W, Mekoulou Ndongo J, Richard Guessogo W, Ebal Minye E, Ndemba PBA, Gassina G, et al. Musculoskeletal disorders and risk factors among heavy load carriers in Yaounde city, Cameroon. Int J Occup Saf Ergon. 23 mars 2021;1‑7.

  7. Ngunde PJ, Akade NBN, Solange DM, Gwesang FP, Nahyeni B, Ayamba EV, et al. Musculoskeletal disorders among workers in the cameroon railways corporation-camrail, douala, cameroon. Revue de Médecine et de Pharmacie. 2020;10(2):1069–79.

    Google Scholar 

  8. Tami AM, Bika Lele EC, Mekoulou Ndongo J, Ayina Ayina CN, Guessogo WR, Lobe Tanga MY, et al. Epidemiology of musculoskeletal disorders among the teaching staff of the University of Douala, Cameroon: association with physical activity practice. Int J Environ Res Public Health. 2021;18(11):6004.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Work-related Musculoskeletal Disorders Amongst Oral Health Workers in Cameroon | Abstract [Internet]. [cité 4 juin 2021]. Disponible sur: https://www.longdom.org/abstract/workrelated-musculoskeletal-disorders-amongst-oral-health-workers-incameroon-40995.html

  10. Ngunde PJ, Elb K, Théophile NC, Mokake NDM, Eta AV, Bassa NE, et al. Prevalence, risk factors and effects of work related musculoskeletal disorders on nurses in Fako division, Cameroon. Revue de Médecine et de Pharmacie. 2020;10(2):1108–17.

    Google Scholar 

  11. Woolf AD, Brooks P, Akesson K, Mody GM. Prevention of musculoskeletal conditions in the developing world. Best Pract Res Clin Rheumatol août. 2008;22(4):759–72.

    Article  Google Scholar 

  12. Vina J, Sanchis-Gomar F, Martinez-Bello V, Gomez-Cabrera MC. Exercise acts as a drug; the pharmacological benefits of exercise. Br J Pharmacol sept. 2012;167(1):1–12.

    Article  CAS  Google Scholar 

  13. Warburton DER, Nicol CW, Bredin SSD. Health benefits of physical activity: the evidence. CMAJ. 2006;174(6):801–9.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Andersen LL, Christensen KB, Holtermann A, Poulsen OM, Sjøgaard G, Pedersen MT, et al. Effect of physical exercise interventions on musculoskeletal pain in all body regions among office workers: a one-year randomized controlled trial. Man Ther févr. 2010;15(1):100–4.

    Article  Google Scholar 

  15. Serra MVGB, Camargo PR, Zaia JE, Tonello MGM, Quemelo PRV. Effects of physical exercise on musculoskeletal disorders, stress and quality of life in workers. Int J Occup Saf Ergon. 2018;24(1):62–7.

    Article  PubMed  Google Scholar 

  16. Sundstrup E, Seeberg KGV, Bengtsen E, Andersen LL. A systematic review of workplace interventions to rehabilitate musculoskeletal disorders among employees with physical demanding work. J Occup Rehabil déc. 2020;30(4):588–612.

    Article  Google Scholar 

  17. Ghasemi S, Pirzadeh A. Effectiveness of Educational Physical Activity Intervention for Preventive of Musculoskeletal Disorders in Bus Drivers. Int J Prev Med [Internet]. 12 août 2019 [cité 13 mai 2021];10. Disponible sur: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6710914/

  18. Morken T, Magerøy N, Moen BE. Physical activity is associated with a low prevalence of musculoskeletal disorders in the Royal Norwegian Navy: a cross sectional study. BMC Musculoskelet Disord. 2007;8:56.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Raanaas RK, Anderson D. A questionnaire survey of Norwegian taxi drivers’ musculoskeletal health, and work-related risk factors. International Journal of Industrial Ergonomics. 1 mars 2008;38(3):280‑90.

  20. Magnusson ML, Pope MH, Wilder DG, Areskoug B. Are occupational drivers at an increased risk for developing musculoskeletal disorders? Spine  (Phila Pa 1976). 1996;21(6):710–7.

    Article  CAS  PubMed  Google Scholar 

  21. Joseph L, Standen M, Paungmali A, Kuisma R, Sitilertpisan P, Pirunsan U. Prevalence of musculoskeletal pain among professional drivers: a systematic review. J Occup Health janv. 2020;62(1): e12150.

    Google Scholar 

  22. Baron S, Hales T, Hurrell J. Evaluation of symptom surveys for occupational musculoskeletal disorders. Am J Ind Med juin. 1996;29(6):609–17.

    Article  CAS  Google Scholar 

  23. Kuorinka I, Jonsson B, Kilbom A, Vinterberg H, Biering-Sørensen F, Andersson G, et al. Standardised Nordic questionnaires for the analysis of musculoskeletal symptoms. Appl Ergon sept. 1987;18(3):233–7.

    Article  CAS  Google Scholar 

  24. Department of Chronic Diseases and Health Promotion. Questionnaire mondial sur la pratique d’activités physiques (GPAQ) Guide pour l’analyse [Internet]. Organisation mondiale de la Santé; 2017. Disponible sur: www.who.int/chp/steps

  25. Zulkarnain MA, Setyaningsih Y, Wahyuni I. Personal characteristic, occupational, work environment and psychosocial stressor factors of musculoskeletal disorders (MSDs) complaints on bus driver: literature review. IOP Conf Ser: Earth Environ Sci. 2021;623.

  26. Alperovitch-Najenson D, Santo Y, Masharawi Y, Katz-Leurer M, Ushvaev D, Kalichman L. Low back pain among professional bus drivers: ergonomic and occupational-psychosocial risk factors. Isr Med Assoc J janv. 2010;12(1):26–31.

    Google Scholar 

  27. Sekkay F, Imbeau D, Chinniah Y, Dubé PA, de Marcellis-Warin N, Beauregard N, et al. Risk factors associated with self-reported musculoskeletal pain among short and long distance industrial gas delivery truck drivers. Appl Ergon. 2018;72:69–87.

    Article  PubMed  Google Scholar 

  28. Aptel M, Gaudez C. Affections de l’appareil locomoteur en rapport avec l’exercice d’une profession. EMC SAS. 2006;15–912-A-10.

  29. Abledu JK, Offei EB, Abledu GK. Occupational and personal determinants of musculoskeletal disorders among urban taxi drivers in Ghana. Int Sch Res Notices. 2014;2014:1–5.

    Google Scholar 

  30. Akinpelu A, Oyewole O, Odole A, R.O O. Prevalence of Musculoskeletal Pain and Health Seeking Behaviour among Occupational Drivers in Ibadan, Nigeria. African Journal Biomedical Research. 1 mai 2011;14:89‑94.

  31. Lis AM, Black KM, Korn H, Nordin M. Association between sitting and occupational LBP. Eur Spine J févr. 2007;16(2):283–98.

    Article  Google Scholar 

  32. Walden R, Tomlinson B. Cardiovascular Disease. In: Benzie IFF, Wachtel-Galor S, éditeurs. Herbal Medicine: Biomolecular and Clinical Aspects [Internet]. 2nd éd. Boca Raton (FL): CRC Press/Taylor & Francis; 2011 [cité 15 juin 2021]. Disponible sur: http://www.ncbi.nlm.nih.gov/books/NBK92767/

  33. Zhang TT, Liu Z, Liu YL, Zhao JJ, Liu DW, Tian QB. Obesity as a risk factor for low back pain: a meta-analysis. Clin Spine Surg févr. 2018;31(1):22–7.

    Article  Google Scholar 

  34. Szeto GPY, Lam P. Work-related musculoskeletal disorders in urban bus drivers of Hong Kong. J Occup Rehabil juin. 2007;17(2):181–98.

    Article  Google Scholar 

  35. Chen JC, Dennerlein JT, Shih TS, Chen CJ, Cheng Y, Chang WP, et al. Knee pain and driving duration: a secondary analysis of the taxi drivers’ health study. Am J Public Health avr. 2004;94(4):575–81.

    Article  Google Scholar 

  36. Vieira MC, Sperandei S, Reis AC. Physical activity overcomes the effects of cumulative work time on hypertension prevalence among Brazilian taxi drivers. J Sports Med Phys Fitness mai. 2016;56(5):631–8.

    Google Scholar 

  37. Wang M, Yu J, Liu N, Liu Z, Wei X, Yan F, et al. Low back pain among taxi drivers: a cross-sectional study. Occup Med (Lond). 2017;67(4):290–5.

    Article  CAS  PubMed  Google Scholar 

  38. Luftmann A. La prévention des troubles musculo-squelettiques sur le lieu de travail [Internet]. OMS; 2004. Disponible sur: https://www.who.int/occupational_health/publications/en/pwh5f.pdf

Download references

Acknowledgements

The authors thank the taxi drivers' unions as well as the taxi drivers who took part in this study.

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Authors and Affiliations

Authors

Contributions

Conception and design: Assomo Ndemba. Acquisition of data: Ngatcha Tchounga, Azabji Kenfack, Guessogo. Analysis and interpretation of data: Assomo Ndemba, Ngatcha Tchounga, Azabji, Guessogo. Drafting the article: Assomo Ndemba, Ngatcha Tchounga, Azabji, Guessogo, Mekoulou Ndongo, Bika Lele, Ayina Ayina, Temfemo, Bongue, Mandengue, Etoundi-Ngoa. Reviewed submitted version of manuscript: all authors. Statistical analysis: Ngatcha Tchounga. Study supervision: Temfemo, Bongue, Mandengue, Etoundi-Ngoa. The authors read and approved the final manuscript.

Corresponding author

Correspondence to Peguy Brice Assomo Ndemba.

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Ethics approval and consent to participate

All the participants have given their written informed consent. A total of 151 adult male taxi drivers was recruited after administrative procedures which resulted on one hand in the issuing of an ethical clearance (No. 2073/CRERSHC/2021) from the Regional Committee on Research Ethics for Human Health of the Centre region and on the other hand in the obtention of research authorizations from the presidents of the various taxi driver unions.

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Not applicable.

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The authors declare that they have no competing.

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Ngatcha Tchounga, C.C., Azabji Kenfack, M., Guessogo, W.R. et al. Prevalence of musculoskeletal disorders among taxi drivers in Yaoundé, Cameroon: preventive effect of physical activity. BMC Musculoskelet Disord 23, 1018 (2022). https://doi.org/10.1186/s12891-022-05971-w

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  • DOI: https://doi.org/10.1186/s12891-022-05971-w

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