Patterns and predictors of work-related musculoskeletal disorders among commercial tricycle (keke napep) riders in Nigeria

3Citations
Citations of this article
16Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Objective: This study assessed the prevalence, pattern and predictors of Work related Musculoskeletal Disorders (WMSD) among tricycle (keke) ridders in Nigeria. Method: A total of 384 keke riders participated in this cross-sectional study. WMSD was assessed with Cornwell questionnaire while the demographic, job related, and anthropometric variables were assessed with the use of a self-designed interview guide. Data obtained was analysed descriptively using frequency and percentage, mean and standard deviation and inferentially using chi-square and logistic regression. Level of significance was set at α = 0.05. Results: The mean age of the participants was 38.73 ± 10.55 years with a mean ridding duration 8.50 ± 1.39 h/day. The general WMSD prevalence in this study was 79.9%; and was more prevalent at the low back (60.4%), neck (49.7%) and shoulder (39.8%) regions. There was a significant association between the general WMSD and each of ridding with passengers in the front cabin (X2 = 19.156, p < 0.001), vibration (X2 = 28.568, p = 0.001), twist while making a turn (X2 = 39.874, p < 0.001), awkward sitting posture (X2 = 4.243, p = 0.039). Twisting while ridding (OR = 1.006, p = 0.009) and job stress (OR = −1.398, p = 0.01) were the significant predictors of general WMSD. Conclusion: There is a high prevalence of WMSD among Nigerian Tricycle ridders. Job stress and twisting while driving are important predictors of WMSD in this group. Ergonomic training programmes are recommended for this population.

Cite

CITATION STYLE

APA

Ekechukwu, E. N. D., Okaku, M. O., Adaramola, S., & Onuorah, I. N. (2019). Patterns and predictors of work-related musculoskeletal disorders among commercial tricycle (keke napep) riders in Nigeria. In Advances in Intelligent Systems and Computing (Vol. 820, pp. 765–777). Springer Verlag. https://doi.org/10.1007/978-3-319-96083-8_92

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free