Prevalence of work-related musculoskeletal symptoms and associated risk factors among domestic gas workers and staff of works department in Enugu, Nigeria: a cross-sectional study

The impact of work-related musculoskeletal symptoms (WMSS) permeates various occupations. To compare WMSS and associated risk factors among domestic gas workers (DGWs) and staff of Works Department (SWD) in Enugu. One-hundred adults (DGW = 50, SWD = 50) participated in this cross-sectional study. Th...

Full description

Saved in:
Bibliographic Details
Published in:BMC musculoskeletal disorders 2020-09, Vol.21 (1), p.587-587, Article 587
Main Authors: Oluka, Chinenye Doris, Obidike, Esther, Ezeukwu, Antoninus Obinna, Onyeso, Ogochukwu Kelechi, Ekechukwu, Echezona Nelson Dominic
Format: Article
Language:English
Subjects:
Adult
Age
Blood pressure
Body mass index
Cross-Sectional Studies
Demographics
Demography
Electrical installations
Ergonomics
Exercise
Female
Gender
Gloves
Humans
Manual handling
Musculoskeletal diseases
Musculoskeletal Diseases - diagnosis
Musculoskeletal Diseases - epidemiology
Natural gas
Nigeria - epidemiology
Occupational Diseases - diagnosis
Occupational Diseases - epidemiology
Pain
Personal protective equipment
Prevalence
Questionnaires
Regions
Risk Factors
Shift duty
Sleep
Software
Surveys and Questionnaires
Teaching hospitals
Workers
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The impact of work-related musculoskeletal symptoms (WMSS) permeates various occupations. To compare WMSS and associated risk factors among domestic gas workers (DGWs) and staff of Works Department (SWD) in Enugu. One-hundred adults (DGW = 50, SWD = 50) participated in this cross-sectional study. The Nordic Musculoskeletal Questionnaire and a demographics questionnaire were used to assess the prevalence of WMSS and related risk factors. Data were analysed using independent t-test or Mann-Whitney U, chi-square, and logistic regression at p 
ISSN:1471-2474
1471-2474
DOI:10.1186/s12891-020-03615-5