ArticleBMC musculoskeletal disorders2020
Prevalence and predictors of work-related musculoskeletal disorders among workers of a gold mine in south Kivu, Democratic Republic of Congo.
Article in BMC musculoskeletal disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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13 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- Indexes for motor performance assessment in job integration/reintegration of people with neuromuscular disorders: A systematic review.Frontiers in neurology · 2022Pooled it
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- Machine learning analysis of the association between psychosocial risks and burnout syndrome in mining workers.Frontiers in public health · 2026Article
- SPINE20 recommendations 2025: Sustainable spine care for all.Brain & spine · 2026Article
- Assessment of Risk Factors for Musculoskeletal Pain Among University Staff Members.Healthcare (Basel, Switzerland) · 2025Article
- The Prevalence and Work-Related Risk Factors of Musculoskeletal Disorders Among Miners at Kalumbila Mine, Kalumbila District Zambia: A Cross-Sectional Study.Health science reports · 2025Article
- Prevalence and determinants of Musculoskeletal Disorders among quarry workers in The Gambia: a cross-sectional study.BMC musculoskeletal disorders · 2025Article
- Assessing low-back loading during lifting using personalized electromyography-driven trunk models and NIOSH-based risk levels.Frontiers in bioengineering and biotechnology · 2025Article
- Work-related musculoskeletal disorders among desludging operators in Uganda.BMC musculoskeletal disorders · 2024Article
- Occupational stress and musculoskeletal disorders in firefighters: the mediating effect of depression and job burnout.Scientific reports · 2024Article
- Space-time analysis of work-related musculoskeletal disorders in Brazil: an ecological study.Cadernos de saude publica · 2024Article
- Predictive factors of ergonomic behaviors based on social cognitive theory among women workers on assembly lines: application of Bayesian networks.BMC musculoskeletal disorders · 2023Article
- Association between Musculoskeletal Pain and Bone Turnover Markers in Long-Term Pb-Exposed Workers.Journal of research in health sciences · 2021Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWork-related musculoskeletal disorders (WRMSDs) are a major constraint to worker performance and health. However, research on their prevalence and associated factors among workers at gold mines in the Democratic Republic of Congo (DRC) is insufficient. The present study aimed to determine the prevalence and predictors of WRMSDs among workers of a Gold Mine in South Kivu, DRC.
methodsCross sectional data on prevalence of WRMSDs and risk factors was collected using a modified Nordic questionnaire and upper limb Core QX checklist from 196 workers of a gold mine. WRMSDs were defined as pain or injury(ies) or discomfort, numbness or limitation of movement in the musculoskeletal system at any time in the past 12 months which lasted at least 24 h. These had to be either induced or aggravated by work and circumstances of its performance. A generalised linear model of the Poison family with link log and robust error variances was used to generate prevalence ratios (PRs) and 95% confidence intervals (CIs) for the factors associated with WRMSDs. The effect of individual, ergonomic and psychosocial factors on WRMSDs were investigated while controlling for known confounders.
resultsMost workers were males 187 (95.4%) and their age ranged between 23 and 60 years with mean of 36.3 years. Of the 196 workers, 49 (25.0%) reported having at least one WRMSD during the previous 12 months. WRMSDs with highest occurrence rate were the lower back pain (14.8%), followed by thighs/hip pain (9.2%) and shoulder pain (8.2%). Prolonged heavy lifting/shovelling shovelling (PR = 1.69, 95% CI [1.32, 3.24] and longer work shifts (> 9 h) (PR = 3.56, 95% CI [1.76, 16.58]) were predictive for WRMSDs while jobs with low demands were protective against WRMSDs (PR = 0.18, 95% CI [0.08, 0.44]).
conclusionThe prevalence of WRMSDs is high and associated with prolonged heavy lifting/shovelling, longer work shifts and job demands. We recommend lowering workload and job demands and improving work ergonomics to mitigate and prevent the WRMSDs among workers in goldmines.
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