Evidence map›Paper›PMID 40655497›Full record

ArticleIranian journal of public health2025

Validation of a Comprehensive Ergonomic Risk Assessment Technique for Tea Harvesting Farmers and Comparison with some Techniques.

Adel Mazloumi, Mojtaba Khosravi Danesh, Mansour Shamsipour, Bahram Kouhnavard

Abstract read
In one paragraph

Article in Iranian journal of public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

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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

3 citing papers in PubMed.

  1. Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Adel MazloumiDepartment of Occupational Health Engineering and Ergonomics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Mojtaba Khosravi DaneshDepartment of Occupational Health Engineering and Ergonomics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Mansour ShamsipourDepartment of Methodology of Studies and Data Analysis, Environmental Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Bahram KouhnavardDepartment of Occupational Health Engineering and Ergonomics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: We aimed to validate a thorough ergonomic risk assessment method for tea harvesting farmers. A comparative analysis with established methods such as OWAS (Ovako Working Posture Assessment System), RULA (Rapid Upper Limb Assessment), and REBA (Rapid Entire Body Assessment) was also conducted. Methods: The research was carried out in 2023 in Guilan Province. The research consisted of three phases: identifying risk factors influencing Musculoskeletal Disorders, validating these factors using the fuzzy Delphi technique (FDT) and fuzzy analytic hierarchy process (FAHP) methods, and developing a method that included a customized posture evaluation technique and questionnaire design. The criteria were categorized into personal, task-related, tools and equipment, environmental, and organizational factors. A team of experts evaluated the validity and reliability of the developed method. Results: Out of 60 identified risk factors, 43 were approved. Task-related factors were deemed the most important, while organizational factors were considered the least important by experts. A comparison of evaluator agreement across different tasks using various evaluation methods revealed good agreement in the developed method and REBA, but low agreement in the other two methods. Kappa coefficients for reliability assessment ranged from 0.61 to 0.80 among expert groups. Conclusion: The proposed developed technique had acceptable validity and reliability. In addition to posture evaluation, this technique evaluates personal, environmental, and organizational items using a questionnaire. Comparisons with established methods, including OWAS, RULA, and REBA, revealed that the developed method demonstrates a stronger correlation with disorders due to shared characteristics.

Indexed as

Fuzzy Delphi methodMusculoskeletal disordersRisk assessmentTea harvesting workers

Identifiers

PMID40655497
PMCPMC12241741

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