Prevalence and pattern of work-related musculoskeletal disorders amongst electricity utility workers in Lagos, Nigeria
U A C Okafor1, ME Danjuma1, SN Oghumu2, KI Oke3, AM Akinfeleye4, CE Mbada5
1 Department of Physiotherapy, Faculty of Clinical Sciences, College of Medicine, University of Lagos, Idi-Araba, Lagos, Nigeria
2 Department of Physiotherapy, Faculty of Allied Medical Sciences, College of Medical Sciences, University of Calabar, Calabar; Department of Physiotherapy, Faculty of Clinical Sciences, University of Lagos, Idi-Araba, Lagos, Nigeria
3 Department of Physiotherapy, School of Basic Medical Sciences, College of Medical Sciences, University of Benin, Benin City, Nigeria
4 Department of Physiotherapy, Lagos University Teaching Hospital, Idi-Araba, Lagos, Nigeria
5 Department of Medical Rehabilitation, Obafemi Awolowo University, Ile-Ife; Department of Physiotherapy, University of Medical Sciences, Ondo, Nigeria; Department of Health Professions, Manchester Metropolitan University, Manchester, United Kingdom
Dr. K I Oke
Department of Physiotherapy, College of Medical Sciences, University of Benin, Benin City
Source of Support: None, Conflict of Interest: None
Background: Electricity utility workers are often exposed to various types and degrees of work-related musculoskeletal disorders (WMSDs). However, there seems to be a neglect or underreporting of WMSDs amongst them in developing countries, including Nigeria. Hence, this study investigated the prevalence and pattern of WMSDs amongst electric utility workers in Lagos, Nigeria.
Materials and Methods: A cross-sectional survey using a 68-item questionnaire was conducted amongst 180 electricity utility workers in selected electric power companies in Lagos, Nigeria. Data collected included sociodemographic variables of respondents, 12-month and point prevalence of WMSDs as well as psychosocial risk factors of WMSDs. The disabilities of the arm, shoulder and hand (DASH) and their impacts on work performance of respondents were evaluated. Data were analysed using descriptive and inferential statistics.
Results: The 12-month prevalence of WMSDs amongst the respondents was 78.9%, while the point prevalence was 53.3%. The wrist/hand, lower back and the shoulders in descending order were the body parts most affected. Age and work experience had a significant association (P < 0.05) with the prevalence of WMSDs. Psychosocial risk factors had no association with the occurrence of WMSDs. However, a significant association (P < 0.05) was found between perceived physical work demand and prevalence of WMSDs. Furthermore, a significant association (P < 0.05) was found between each of the DASH with prevalence of WMSDs.
Conclusion: A high proportion of electric utility workers presented with WMSDs of which the wrist/hand was the most affected body part. Ergonomic interventions may have a great impact in the prevention of WMSDs amongst electricity workers.