Evidence map›Paper›PMID 41733578›Full record

ArticleLa Medicina del lavoro2026

Prevalence and Multivariate Impact of Musculoskeletal Disorders on General Health, Occupational Fatigue, and Productivity in an Industrial Workforce.

Alireza Choobineh, Mohammad Karami, Yaser Sahranavard, Mohammad Reza Fakhraei, Fatemeh Ghanbari Mohammad, Fatemeh Alibeygian, Somayeh Hossainie Nasab, Azam Alizadeh, Mina Shahbazi, Reza Tahmasebi

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Article in La Medicina del lavoro, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Alireza ChoobinehResearch Centre for Health Sciences, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
Mohammad KaramiHSE Department, Sarcheshemeh Copper Complex, Rafsanjan, Iran.
Yaser SahranavardHSE Department, Sarcheshemeh Copper Complex, Rafsanjan, Iran.
Mohammad Reza FakhraeiHSE Department, Sarcheshemeh Copper Complex, Rafsanjan, Iran.
Fatemeh Ghanbari MohammadHSE Department, Sarcheshemeh Copper Complex, Rafsanjan, Iran.
Fatemeh AlibeygianHSE Department, Sarcheshemeh Copper Complex, Rafsanjan, Iran.
Somayeh Hossainie NasabHSE Department, Sarcheshemeh Copper Complex, Rafsanjan, Iran.
Azam AlizadehHSE Department, Sarcheshemeh Copper Complex, Rafsanjan, Iran.
Mina ShahbaziStudent Research Committee, Department of Ergonomics, School of Health, Shiraz University of Medical Sci-ences, Shiraz, Iran.
Reza TahmasebiStudent Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMusculoskeletal disorders represent a leading occupational health challenge in heavy-industry settings, yet their combined impact on workers' general health, fatigue, and productivity remains underexplored. This study aims to quantify the relationship between multisite musculoskeletal symptom burden and key health and performance outcomes among copper-industry employees.

methodsA cross-sectional survey of 585 workers used the Standardized Nordic Musculoskeletal Questionnaire, the 28-item General Health Questionnaire, the SOFI-20 fatigue inventory, and the HPQ-26 productivity survey. Spearman's rank correlation was used to examine bivariate relationships, and multivariable linear regression models adjusting generally for demographic, work-related, and psychosocial factors were employed to estimate the independent effect of the number of painful sites on health, fatigue, and productivity outcomes.

resultsFifty-seven percent of workers reported pain in at least one region during the preceding 12 months, with an average of 2.6 painful sites per person (standard deviation 2.4). The number of painful sites showed a moderate positive correlation with poorer general health scores (ρ = 0.43, p < 0.001) and higher fatigue scores (ρ = 0.53, p < 0.001), and a moderate negative correlation with productivity ratings (ρ = -0.30, p < 0.001). In adjusted regression analyses, each additional painful site was associated with a 1.9-point worsening in general health score (95% CI 1.5 to 2.2), an 8.4-point increase in fatigue score (95% CI 7.3 to 9.6), and a 1.6-point decrease in productivity score (95% CI -2.0 to -1.2), all with p-values < 0.001.

conclusionsThere is a clear dose-response relationship between the number of painful anatomical sites and declines in health, increases in fatigue, and reductions in productivity among copper-industry workers. To address this multifaceted impact, interventions should integrate ergonomic workstation design, task rotation, optimized break schedules, and comprehensive health-promotion services targeting both physical and psychosocial risk factors.

Indexed as

EfficiencyFatigueHealth StatusMusculoskeletal DiseasesOccupational DiseasesAdultCopperCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceCopper

Identifiers

PMID41733578
PMCPMC12983178

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LicenceCC BY-NC
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.