Literature DB >> 25815974

Interaction between physical and psychosocial risk factors on the presence of neck/shoulder symptoms and its consequences.

Baiduri Widanarko1, Stephen Legg, Jason Devereux, Mark Stevenson.   

Abstract

This study aimed to quantify the interaction between physical and psychosocial factors on the presence of neck/shoulder symptoms (NSS) and its consequences (reduced activities and absenteeism) among 1294 coal mining workers in Indonesia. A self-administered questionnaire was used to obtain information on current workplace exposure and NSS and its consequences. Participants were grouped into one of four combination exposure groups: low physical and low psychosocial (as the reference group); low physical and high psychosocial; high physical and low psychosocial, and high physical and high psychosocial (HPhyHPsy). The attributable proportion (AP) due to interaction between both factors was examined. Individuals in the HPhyHPsy group were most likely to report NSS [odds ratio (OR) 4.83, 95% confidence interval (CI) 2.43-9.58], reduced activities (OR 3.90, 95% CI 2.36-6.43), and absenteeism (OR 3.91, 95% CI 2.11-7.25). This study has shown an interaction between physical and psychosocial factors that increases the OR of NSS (AP 0.49, 95% CI 0.08-0.89). Practitioner Summary: Although physical and psychosocial factors are known to be predictors for NSS, little is known about their interaction. Self-reported questionnaire was used to obtain information about physical and psychosocial factors at work. This study found an interaction between the physical and psychosocial risk factors that increases the odds ratio of NSS.

Entities:  

Keywords:  developing countries; interaction; musculoskeletal discomfort; sick leave; work stress

Mesh:

Year:  2015        PMID: 25815974     DOI: 10.1080/00140139.2015.1019936

Source DB:  PubMed          Journal:  Ergonomics        ISSN: 0014-0139            Impact factor:   2.778


  7 in total

1.  Psychosocial work demands and physical workload decrease with ageing in blue-collar and white-collar workers: a prospective study based on the SLOSH cohort.

Authors:  Torbjörn Åkerstedt; Andrea Discacciati; Henrike Häbel; Hugo Westerlund
Journal:  BMJ Open       Date:  2019-09-17       Impact factor: 2.692

2.  Factors associated with musculoskeletal pain in the past 12 months amongst female miners in a South African goldmine.

Authors:  Khathutshelo P Kabongo; Saloshni Naidoo
Journal:  S Afr J Physiother       Date:  2021-01-18

3.  Relationship between personality type and musculoskeletal disorders among office staff.

Authors:  Fatemeh Baberi; Zahra Jahandideh; Mojtaba Akbari; Mahnaz Shakerian; Alireza Choobineh
Journal:  Med Lav       Date:  2019-08-26       Impact factor: 1.275

4.  Interaction between occupational physical burdens and low job control on musculoskeletal pain: Analysis of the 5th Korean Working Environment Survey.

Authors:  Jongin Lee; Hyoung-Ryoul Kim; Dong-Wook Lee; Mo-Yeol Kang
Journal:  J Occup Health       Date:  2021-01       Impact factor: 2.708

Review 5.  The Prevalence of Musculoskeletal Disorders among Miners around the World: A Systematic Review and Meta-Analysis.

Authors:  Hadiseh Rabiei; Mahdi Malakoutikhah; Mohammad Hossein Vaziri; Ali Salehi Sahlabadi
Journal:  Iran J Public Health       Date:  2021-04       Impact factor: 1.429

6.  Temporal patterns of sitting at work are associated with neck-shoulder pain in blue-collar workers: a cross-sectional analysis of accelerometer data in the DPHACTO study.

Authors:  David M Hallman; Svend Erik Mathiassen; Marina Heiden; Nidhi Gupta; Marie Birk Jørgensen; Andreas Holtermann
Journal:  Int Arch Occup Environ Health       Date:  2016-03-02       Impact factor: 3.015

7.  Interaction Effects of Physical and Psychosocial Working Conditions on Risk for Sickness Absence: A Prospective Study of Nurses and Care Assistants in Sweden.

Authors:  Magnus Helgesson; Staffan Marklund; Klas Gustafsson; Gunnar Aronsson; Constanze Leineweber
Journal:  Int J Environ Res Public Health       Date:  2020-10-12       Impact factor: 3.390

  7 in total

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