Strain on the streets: A cross-sectional study on the prevalence and risk factors of musculoskeletal disorders Among 50 urban street sweepers in the Philippines

BackgroundMusculoskeletal disorders (MSDs) are a significant occupational health issue for street sweepers due to the physically demanding nature of their tasks and prolonged exposure to ergonomic and psychosocial risks. These risks result in discomfort and reduced productivity, especially in labor-intensive jobs in developing countries.ObjectivesThis study assessed the prevalence of MSDs among street sweepers in the Philippines, identified contributing ergonomic and psychosocial factors, and proposed interventions to enhance their health and well-being.MethodsA cross-sectional design was used with 50 street sweepers. Data collection tools included the Nordic Musculoskeletal Questionnaire (NMQ) for MSD prevalence, the Rapid Entire Body Assessment (REBA) for ergonomic risks, and the Copenhagen Psychosocial Questionnaire (COPSOQ) for psychosocial risks. Statistical analyses, including chi-square tests and logistic regression, examined variable associations.ResultsLogistic regression analysis revealed that ergonomic and psychosocial risks were significantly associated with musculoskeletal disorder (MSD) prevalence. Medium ergonomic risk (REBA) increased the odds of MSDs by 12.18 times (95% CI: 3.76-39.49, p < 0.001), while low ergonomic risk still showed elevated odds at 6.05 (95% CI: 2.27-16.12, p < 0.001). Low psychosocial risk (COPSOQ) was also associated with a 7.39-fold increase in MSD odds (95% CI: 2.77-19.67, p < 0.001), while moderate psychosocial risk reduced the odds (OR = 0.45, 95% CI: 0.21-0.98, p = 0.04). Female gender and overweight status were also significant predictors. The study's sample size (n = 50) may have limited statistical power; larger, more diverse samples are needed to clarify these relationships and improve generalizability.ConclusionFindings highlight the need for interventions, including ergonomic tools, task rotation, flexible schedules, and social support programs. Regular training and health assessments are essential to mitigate risks. A holistic approach to occupational health is crucial for improving the well-being and productivity of street sweepers. Future studies should explore intervention effectiveness and broader comparative analyses.

Authors

Institutions

Publication Details

Journal
Work
Published
2026-01-09
DOI
https://doi.org/10.1177/10519815251410885
Primary Topic
Musculoskeletal pain and rehabilitation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Strain on the streets: A cross-sectional study on the prevalence and risk factors of musculoskeletal disorders Among 50 urban street sweepers in the Philippines

Ma. Janice J Gumasing
Work
Musculoskeletal pain and rehabilitation
article

Strain on the streets: A cross-sectional study on the prevalence and risk factors of musculoskeletal disorders Among 50 urban street sweepers in the Philippines

Ma. Janice J Gumasing
article en

Abstract

BackgroundMusculoskeletal disorders (MSDs) are a significant occupational health issue for street sweepers due to the physically demanding nature of their tasks and prolonged exposure to ergonomic and psychosocial risks. These risks result in discomfort and reduced productivity, especially in labor-intensive jobs in developing countries.ObjectivesThis study assessed the prevalence of MSDs among street sweepers in the Philippines, identified contributing ergonomic and psychosocial factors, and proposed interventions to enhance their health and well-being.MethodsA cross-sectional design was used with 50 street sweepers. Data collection tools included the Nordic Musculoskeletal Questionnaire (NMQ) for MSD prevalence, the Rapid Entire Body Assessment (REBA) for ergonomic risks, and the Copenhagen Psychosocial Questionnaire (COPSOQ) for psychosocial risks. Statistical analyses, including chi-square tests and logistic regression, examined variable associations.ResultsLogistic regression analysis revealed that ergonomic and psychosocial risks were significantly associated with musculoskeletal disorder (MSD) prevalence. Medium ergonomic risk (REBA) increased the odds of MSDs by 12.18 times (95% CI: 3.76-39.49, p < 0.001), while low ergonomic risk still showed elevated odds at 6.05 (95% CI: 2.27-16.12, p < 0.001). Low psychosocial risk (COPSOQ) was also associated with a 7.39-fold increase in MSD odds (95% CI: 2.77-19.67, p < 0.001), while moderate psychosocial risk reduced the odds (OR = 0.45, 95% CI: 0.21-0.98, p = 0.04). Female gender and overweight status were also significant predictors. The study's sample size (n = 50) may have limited statistical power; larger, more diverse samples are needed to clarify these relationships and improve generalizability.ConclusionFindings highlight the need for interventions, including ergonomic tools, task rotation, flexible schedules, and social support programs. Regular training and health assessments are essential to mitigate risks. A holistic approach to occupational health is crucial for improving the well-being and productivity of street sweepers. Future studies should explore intervention effectiveness and broader comparative analyses.

Work
De La Salle University (PH)
Industry, innovation and infrastructure
Openalex Percentile: Top 91%
Musculoskeletal pain and rehabilitation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Strain on the streets: A cross-sectional study on the prevalence and risk factors of musculoskeletal disorders Among 50 urban street sweepers in the Philippines — Ma. Janice J Gumasing · Work (2026) | TGRS Research Map | TGRS