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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ANALYSIS OF the risk factors of MUSCULOSKELETAL DISORDERS: A dataset on most challenging operations in the garments industry in Bangladesh and reported occupational discomforts by the workers.

Authors: Mukarroma, Zannatul; Khan, Md Isfar; Chowdhury, Sharif Muktadir Hossain;

ANALYSIS OF the risk factors of MUSCULOSKELETAL DISORDERS: A dataset on most challenging operations in the garments industry in Bangladesh and reported occupational discomforts by the workers.

Abstract

This dataset comprises the perceived most challenging operations in the garment industry and the occupational discomfort faced by the workers. Collected through participant surveys, the dataset encompasses demographic information and work related parameters. The primary objective of this dataset is to identify and analyse the prevalence of MSDs in the most challenging operation in the garment industry. Researchers, ergonomists, and occupational health professionals can leverage this dataset to explore further for mitigating MSD risks in the industry. This dataset can be used for finding the Ergonomic interventions and workplace improvements. It can facilitate specific interventions for solving work related diseases among the garment workers. Anyone can use this dataset with proper citation. Note: This dataset adheres to ethical considerations, and participant information is anonymized to ensure confidentiality.

Keywords

Ergonomics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average