Cargando…

How common are aches and pains among garment factory workers? A work-related musculoskeletal disorder assessment study in three factories of south 24 Parganas district, West Bengal

CONTEXT: Garment Industry is considered to be the second-largest employment sector in India. Occupational health problems among workers are often ignored, work-related musculoskeletal disorders (WMSD) accounts for the majority of it. The leverage of a healthy workforce is indispensable in the smooth...

Descripción completa

Detalles Bibliográficos
Autores principales: Pal, Arkaprovo, Dasgupta, Aparajita, Sadhukhan, Sanjoy K., Bandyopadhyay, Lina, Paul, Bobby, Podder, Debayan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8138367/
https://www.ncbi.nlm.nih.gov/pubmed/34041098
http://dx.doi.org/10.4103/jfmpc.jfmpc_55_20
_version_ 1783695792030089216
author Pal, Arkaprovo
Dasgupta, Aparajita
Sadhukhan, Sanjoy K.
Bandyopadhyay, Lina
Paul, Bobby
Podder, Debayan
author_facet Pal, Arkaprovo
Dasgupta, Aparajita
Sadhukhan, Sanjoy K.
Bandyopadhyay, Lina
Paul, Bobby
Podder, Debayan
author_sort Pal, Arkaprovo
collection PubMed
description CONTEXT: Garment Industry is considered to be the second-largest employment sector in India. Occupational health problems among workers are often ignored, work-related musculoskeletal disorders (WMSD) accounts for the majority of it. The leverage of a healthy workforce is indispensable in the smooth running of the country's economic machinery. AIMS: To find out the prevalence of WMSD among the workers and to assess the relationship of WMSDs with sociodemographic, behavioral, and occupational factors. SETTINGS AND DESIGN: A cross-sectional study was conducted from June 2017 to August 2019 among 222 workers in three garment factories located in a municipality area of south 24 Parganas District, West Bengal. METHODS AND MATERIAL: Sociodemographic and behavioral characteristics, occupational differentials, and morbidity profiles were assessed using a pre-designed, pre-tested schedule. STATISTICAL ANALYSIS USED: Data were analyzed by SPSS ver. 16.0. Logistic regression was done to determine the associates of WMSDs. RESULTS: Most of the workers were males (70.27%), belonged to the age-group of 36–55 (42.34%) and were illiterate (33.78%). WMSD was prevalent among 70.72% of the workers. Presence of WMSD was significantly associated with educational status{illiterate (OR: 3.59; CI: 1.56–8.22), below secondary (OR-2.89;CI: 1.26-6.62)}, sitting job (OR: 2.02; CI: 1.01-4.03), unsatisfactory working environment (OR: 8.38; CI:1.95–36.06), and level of distress {mild (OR-2.89;CI: 1.26-6.62), moderate-severe (OR: 6.98; CI: 1.46–33.25)}. CONCLUSIONS: Improving health awareness and periodic health check-up is the need of the hour for the sustenance of the massive workforce, which can be achieved through the integration of basic occupational health services (BOHS) with primary health care (PHC) infrastructure.
format Online
Article
Text
id pubmed-8138367
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Wolters Kluwer - Medknow
record_format MEDLINE/PubMed
spelling pubmed-81383672021-05-25 How common are aches and pains among garment factory workers? A work-related musculoskeletal disorder assessment study in three factories of south 24 Parganas district, West Bengal Pal, Arkaprovo Dasgupta, Aparajita Sadhukhan, Sanjoy K. Bandyopadhyay, Lina Paul, Bobby Podder, Debayan J Family Med Prim Care Original Article CONTEXT: Garment Industry is considered to be the second-largest employment sector in India. Occupational health problems among workers are often ignored, work-related musculoskeletal disorders (WMSD) accounts for the majority of it. The leverage of a healthy workforce is indispensable in the smooth running of the country's economic machinery. AIMS: To find out the prevalence of WMSD among the workers and to assess the relationship of WMSDs with sociodemographic, behavioral, and occupational factors. SETTINGS AND DESIGN: A cross-sectional study was conducted from June 2017 to August 2019 among 222 workers in three garment factories located in a municipality area of south 24 Parganas District, West Bengal. METHODS AND MATERIAL: Sociodemographic and behavioral characteristics, occupational differentials, and morbidity profiles were assessed using a pre-designed, pre-tested schedule. STATISTICAL ANALYSIS USED: Data were analyzed by SPSS ver. 16.0. Logistic regression was done to determine the associates of WMSDs. RESULTS: Most of the workers were males (70.27%), belonged to the age-group of 36–55 (42.34%) and were illiterate (33.78%). WMSD was prevalent among 70.72% of the workers. Presence of WMSD was significantly associated with educational status{illiterate (OR: 3.59; CI: 1.56–8.22), below secondary (OR-2.89;CI: 1.26-6.62)}, sitting job (OR: 2.02; CI: 1.01-4.03), unsatisfactory working environment (OR: 8.38; CI:1.95–36.06), and level of distress {mild (OR-2.89;CI: 1.26-6.62), moderate-severe (OR: 6.98; CI: 1.46–33.25)}. CONCLUSIONS: Improving health awareness and periodic health check-up is the need of the hour for the sustenance of the massive workforce, which can be achieved through the integration of basic occupational health services (BOHS) with primary health care (PHC) infrastructure. Wolters Kluwer - Medknow 2021-02 2021-02-27 /pmc/articles/PMC8138367/ /pubmed/34041098 http://dx.doi.org/10.4103/jfmpc.jfmpc_55_20 Text en Copyright: © 2021 Journal of Family Medicine and Primary Care https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Pal, Arkaprovo
Dasgupta, Aparajita
Sadhukhan, Sanjoy K.
Bandyopadhyay, Lina
Paul, Bobby
Podder, Debayan
How common are aches and pains among garment factory workers? A work-related musculoskeletal disorder assessment study in three factories of south 24 Parganas district, West Bengal
title How common are aches and pains among garment factory workers? A work-related musculoskeletal disorder assessment study in three factories of south 24 Parganas district, West Bengal
title_full How common are aches and pains among garment factory workers? A work-related musculoskeletal disorder assessment study in three factories of south 24 Parganas district, West Bengal
title_fullStr How common are aches and pains among garment factory workers? A work-related musculoskeletal disorder assessment study in three factories of south 24 Parganas district, West Bengal
title_full_unstemmed How common are aches and pains among garment factory workers? A work-related musculoskeletal disorder assessment study in three factories of south 24 Parganas district, West Bengal
title_short How common are aches and pains among garment factory workers? A work-related musculoskeletal disorder assessment study in three factories of south 24 Parganas district, West Bengal
title_sort how common are aches and pains among garment factory workers? a work-related musculoskeletal disorder assessment study in three factories of south 24 parganas district, west bengal
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8138367/
https://www.ncbi.nlm.nih.gov/pubmed/34041098
http://dx.doi.org/10.4103/jfmpc.jfmpc_55_20
work_keys_str_mv AT palarkaprovo howcommonareachesandpainsamonggarmentfactoryworkersaworkrelatedmusculoskeletaldisorderassessmentstudyinthreefactoriesofsouth24parganasdistrictwestbengal
AT dasguptaaparajita howcommonareachesandpainsamonggarmentfactoryworkersaworkrelatedmusculoskeletaldisorderassessmentstudyinthreefactoriesofsouth24parganasdistrictwestbengal
AT sadhukhansanjoyk howcommonareachesandpainsamonggarmentfactoryworkersaworkrelatedmusculoskeletaldisorderassessmentstudyinthreefactoriesofsouth24parganasdistrictwestbengal
AT bandyopadhyaylina howcommonareachesandpainsamonggarmentfactoryworkersaworkrelatedmusculoskeletaldisorderassessmentstudyinthreefactoriesofsouth24parganasdistrictwestbengal
AT paulbobby howcommonareachesandpainsamonggarmentfactoryworkersaworkrelatedmusculoskeletaldisorderassessmentstudyinthreefactoriesofsouth24parganasdistrictwestbengal
AT podderdebayan howcommonareachesandpainsamonggarmentfactoryworkersaworkrelatedmusculoskeletaldisorderassessmentstudyinthreefactoriesofsouth24parganasdistrictwestbengal