Evidence map›Paper›PMID 35761242›Full record

ArticleBMC musculoskeletal disorders2022

Risk assessment of the work-related musculoskeletal disorders based on individual characteristics using path analysis models.

Ebrahim Darvishi, Fakhradin Ghasemi, Fateme Sadeghi, Kamaladdin Abedi, Somaye Rahmati, Ghazale Sadeghzade

Erratum issuedOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC musculoskeletal disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Ebrahim DarvishiEnvironmental Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran. darvishi.hse6@yahoo.com.
Fakhradin GhasemiDepartment of occupational health and safety engineering, Abadan University of Medical Sciences, Abadan, Iran.
Fateme SadeghiDepartment of Clinical Psychology, Faculty of Humanities, Kurdistan University, Sanandaj, Iran.
Kamaladdin AbediEnvironmental Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran.
Somaye RahmatiDepartment of Clinical Psychology, Faculty of Humanities, Kurdistan University, Sanandaj, Iran.
Ghazale SadeghzadeDepartment of Clinical Psychology, Faculty of Humanities, Kurdistan University, Sanandaj, Iran.
University of Kurdistan · IRKurdistan University of Medical Sciences · IRHamedan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to assess the risk of work-related musculoskeletal disorders (WMSDs) using the path analysis models.

methodsThis study was carried out on 350 office employees with good general health. All variables were collected using a questionnaire. Personality traits and mental workload of employees were evaluated using the NEO Personality Inventory and the NASA-task load index software, respectively. The individual and personality traits were used as predictor variables, and mental workload (MWL) and body posture scores as mediating variables of the musculoskeletal discomforts. The role of predictor and mediating variables on discomforts was explained based on the path analysis models.

resultsThe impact coefficient of MWL and posture on WMSDs was significant. The coefficient of the direct effect of body mass index (BMI) and gender on musculoskeletal disorders was significant and positive and the women have reported a higher rate of discomforts. The strongest positive impact of personality traits on MWL and posture was conscientiousness, followed by neuroticism and agreeableness. In return, the strongest negative impact was extroversion, followed by openness. The strongest positive impact of individual factors on MWL and posture was BMI, followed by work experience.

conclusionGender, BMI, neuroticism, extraversion, and conscientiousness can be strong predictors for musculoskeletal discomforts which can mediate the impact of body posture and mental workload (mediating factors) on musculoskeletal discomfort. Therefore, personality and individual traits can be strong alarming and indicators for risk identification and preventing musculoskeletal disorders when choosing people for a job or task.

Indexed as

Musculoskeletal DiseasesFemaleHumansNeuroticismPersonalityPersonality InventoryRisk AssessmentSurveys and QuestionnairesIndividual characteristicsMusculoskeletal disordersPath analysis modelRisk assessment

Identifiers

PMID35761242
PMCPMC9235182
OpenAlexW4283577283

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.