Work Complexity and Musculoskeletal Symptoms in Healthcare Workers

<b>Background/Objectives:</b> To investigate whether healthcare workers present different characteristics of musculoskeletal symptoms depending on the level of complexity in which these professionals work in the Brazilian Unified Health System. <b>Methods:</b> Health professionals were recruited from 24 health institutions, using probabilistic stratified sampling. Data were collected using the Nordic Musculoskeletal Questionnaire. We obtained the questionnaire scores through exploratory factor analysis. Based on the scores, individuals could be grouped into symptom configurations using a non-hierarchical clustering algorithm (K-means). <b>Results:</b> The created groups differed in symptom intensity and location but did not differ by level of work complexity, as defined by Brazil's healthcare sector division. Therefore, regardless of the level of complexity at which professionals perform their activities in the Brazilian Unified Health System, the burden of musculoskeletal symptoms related to the factor under analysis is similar. We developed distinct symptom profiles for each group, accompanied by targeted occupational intervention recommendations. <b>Conclusions:</b> This study challenges conventional assumptions by demonstrating that musculoskeletal symptom burden remains consistent across varying levels of work complexity, while providing a practical framework for developing targeted interventions based on symptom profiles.

Authors

Institutions

Publication Details

Journal
Healthcare
Published
2026-01-05
DOI
https://doi.org/10.3390/healthcare14010135
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

Work Complexity and Musculoskeletal Symptoms in Healthcare Workers

Elamara Marama de Araújo Vieira, Gilvane de Lima Araújo, Wilza Karla dos Santos Leite, JONHATAN MAGNO NORTE DA SILVA
Healthcare
Musculoskeletal pain and rehabilitation
article

Work Complexity and Musculoskeletal Symptoms in Healthcare Workers

Elamara Marama de Araújo Vieira, Gilvane de Lima Araújo, Wilza Karla dos Santos Leite, JONHATAN MAGNO NORTE DA SILVA
article en

Abstract

<b>Background/Objectives:</b> To investigate whether healthcare workers present different characteristics of musculoskeletal symptoms depending on the level of complexity in which these professionals work in the Brazilian Unified Health System. <b>Methods:</b> Health professionals were recruited from 24 health institutions, using probabilistic stratified sampling. Data were collected using the Nordic Musculoskeletal Questionnaire. We obtained the questionnaire scores through exploratory factor analysis. Based on the scores, individuals could be grouped into symptom configurations using a non-hierarchical clustering algorithm (K-means). <b>Results:</b> The created groups differed in symptom intensity and location but did not differ by level of work complexity, as defined by Brazil's healthcare sector division. Therefore, regardless of the level of complexity at which professionals perform their activities in the Brazilian Unified Health System, the burden of musculoskeletal symptoms related to the factor under analysis is similar. We developed distinct symptom profiles for each group, accompanied by targeted occupational intervention recommendations. <b>Conclusions:</b> This study challenges conventional assumptions by demonstrating that musculoskeletal symptom burden remains consistent across varying levels of work complexity, while providing a practical framework for developing targeted interventions based on symptom profiles.

HealthcareVol. 14(1)
Universidade Federal da Paraíba (BR), Universidade Federal do Amapá (BR), Universidade Federal de Alagoas (BR)
Openalex Percentile: Top 96%
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.

Work Complexity and Musculoskeletal Symptoms in Healthcare Workers — Elamara Marama de Araújo Vieira, Gilvane de Lima Araújo, et al. · Healthcare (2026) | TGRS Research Map | TGRS