ArticleBMC musculoskeletal disorders2023
Prevalence of work-related musculoskeletal disorders and associated factors among University of Zimbabwe Faculty of Medicine and Health Sciences non-academic workers: a cross-sectional study.
Article in BMC musculoskeletal disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Prevalence and multidimensional factors associated with work-related musculoskeletal disorders in Chinese gas station workers.Scientific reports · 2026Article
- Patterns and Predictors of Upper Limb and Neck Work-Related Musculoskeletal Disorders Among Practicing Optometrists in Jordan: A Cross-Sectional Survey.Clinical optometry · 2026Article
- Prevalence of Work-Related Musculoskeletal Disorders and Associated Factors Among Doctor of Physical Therapy in Syria: A Cross-Sectional Study.Health science reports · 2025Article
- Work-related musculoskeletal disorders among desludging operators in Uganda.BMC musculoskeletal disorders · 2024Article
- Work-related musculoskeletal disorders among United Arab Emirates schoolteachers: an examination of physical activity.BMC musculoskeletal disorders · 2024Observational
- Prevalence and risk factors of work-related musculoskeletal disorders among physical therapists in Ho Chi Minh City, Vietnam.BMC public health · 2024Article
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5 authors at 1 institution in 1 country.
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Abstract
backgroundWork-related musculoskeletal disorders most commonly contribute to years lived with disability among workers. Heavy physical work, static work posture, awkward posture, force exertion, lifting and repetitive movements increase the risk of developing work-related musculoskeletal disorders.
objectivesThe aim of the study was to determine the prevalence of work-related musculoskeletal disorders and associated factors among non-academic workers at the University of Zimbabwe Faculty of Medicine and Health Sciences. Non-academic workers included security personnel, catering staff, drivers, library staff, clerical staff, technicians and janitorial staff. METHODS AND MATERIALS: The study used a cross-sectional analytical design. One hundred and eight non-academic workers at the University of Zimbabwe Faculty of Medicine and Health Sciences were sampled through proportional stratified sampling in January 2021. An adapted Nordic Musculoskeletal Questionnaire capturing socio-demographics and ergonomic risk factors was used to gather data. SPSS v24 was used for data analysis including frequencies, tests of association and multivariate logistic regression.
resultsOne hundred non-academic workers from the University of Zimbabwe Faculty of Medicine and Health Sciences responded. The 3-month and 12-month prevalences of work-related musculoskeletal disorders were highest in the lower back (n = 72, 72% and n = 75, 75%) and wrists/hands (n = 60, 60% and n = 69, 69%) respectively. Sociodemographic factors such as age (p = 0.002), gender (p < 0.001), educational level (p = 0.008) and worker category (p < 0.001) were associated with increased work-related musculoskeletal disorders, while work experience (p = 0.002) was associated with a decreased prevalence of back pain and discomfort. Females (AOR = 55.90; 95% CI [3.84, 814.54]), security personnel (AOR = 39.53, 95% CI [1.57, 996.00]), catering staff (AOR = 91.3295% CI [2.24, 3724.78]) and those who attained bachelor's degrees (AOR = 73.25, 95% CI [1.46, 3682.39]), higher national diplomas (AOR = 93.49, 95% CI [1.28, 6848.04]) and national diplomas (AOR = 52.22; 95% CI [1.09, 2510.73]) had higher odds of experiencing WMSDs. Increased working experience was protective against experiencing lower back pain (AOR = 0.84; 95% CI [0.74, 0.95]). DISCUSSION AND
conclusionThe prevalence of work-related musculoskeletal disorders was high among the participants. This was influenced by the nature of work as well as cultural factors. RECOMMENDATIONS: Occupational therapists and physiotherapists need to design focused ameliorative and health promotive interventions targeting at-risk populations in universities. Employers should consider developing wellness programs for workers and promoting healthy working environments.
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