Upper Trapezius Muscle Activity Pattern at Work and Associated Neck Pain : Study Protocol for Analyses of a Pooled EMG Data Set
(2023) In Applied Human Factors and Ergonomics International 116. p.85-97- Abstract
Background: Repetitive and monotonous work is often associated with neck pain, potentially resulting in sick leave and reduced productivity. Establishing appropriate muscle activity patterns, including duration and frequency of breaks that can prevent neck pain development, is important for providing workplace guidance. While several smaller studies addressing monotonous neck-loading work have indicated that such breaks can reduce the risk of neck pain, studies with a higher number of participants are necessary to confirm an association, and if so, to improve the precision of a possible association. The purpose of this protocol was to describe and discuss the background, methods, and challenges of a study pooling several datasets with... (More)
Background: Repetitive and monotonous work is often associated with neck pain, potentially resulting in sick leave and reduced productivity. Establishing appropriate muscle activity patterns, including duration and frequency of breaks that can prevent neck pain development, is important for providing workplace guidance. While several smaller studies addressing monotonous neck-loading work have indicated that such breaks can reduce the risk of neck pain, studies with a higher number of participants are necessary to confirm an association, and if so, to improve the precision of a possible association. The purpose of this protocol was to describe and discuss the background, methods, and challenges of a study pooling several datasets with measurements of upper trapezius muscle activity during work and associated measurements of neck pain. Methods: Seven Scandinavian research institutes provided surface electromyographic (EMG) data from 750 participants of upper trapezius muscle activity recorded during working hours along with questionnaire data containing information about neck pain and other health-related factors. The different EMG datasets were merged into a com-mon format. Various questions on neck pain will be harmonized. Associations between EMG variables and neck pain will be examined using linear mixed model regressions controlled for various confounders. Discussion: Aiming to provide further insight into the possible association between trapezius muscle activity pattern and neck pain, this study protocol highlights the challenges that arise when creating a pooled data set. Solving these challenges may help increase the knowledge about appropriate muscle activity patterns during work.
(Less)
- author
- organization
- publishing date
- 2023
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Electromyography, Musculoskeletal disorders, Work exposure
- host publication
- Applied Human Factors and Ergonomics International
- series title
- Applied Human Factors and Ergonomics International
- volume
- 116
- pages
- 13 pages
- publisher
- AHFE International
- external identifiers
-
- scopus:105031618835
- ISSN
- 2771-0718
- DOI
- 10.54941/ahfe1004360
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2023. Published by AHFE Open Access. All rights reserved.
- id
- e97a89b0-cde6-43d4-bd6a-41e2ebe7fc23
- date added to LUP
- 2026-04-01 16:29:26
- date last changed
- 2026-04-01 16:29:52
@inbook{e97a89b0-cde6-43d4-bd6a-41e2ebe7fc23,
abstract = {{<p>Background: Repetitive and monotonous work is often associated with neck pain, potentially resulting in sick leave and reduced productivity. Establishing appropriate muscle activity patterns, including duration and frequency of breaks that can prevent neck pain development, is important for providing workplace guidance. While several smaller studies addressing monotonous neck-loading work have indicated that such breaks can reduce the risk of neck pain, studies with a higher number of participants are necessary to confirm an association, and if so, to improve the precision of a possible association. The purpose of this protocol was to describe and discuss the background, methods, and challenges of a study pooling several datasets with measurements of upper trapezius muscle activity during work and associated measurements of neck pain. Methods: Seven Scandinavian research institutes provided surface electromyographic (EMG) data from 750 participants of upper trapezius muscle activity recorded during working hours along with questionnaire data containing information about neck pain and other health-related factors. The different EMG datasets were merged into a com-mon format. Various questions on neck pain will be harmonized. Associations between EMG variables and neck pain will be examined using linear mixed model regressions controlled for various confounders. Discussion: Aiming to provide further insight into the possible association between trapezius muscle activity pattern and neck pain, this study protocol highlights the challenges that arise when creating a pooled data set. Solving these challenges may help increase the knowledge about appropriate muscle activity patterns during work.</p>}},
author = {{Koch, Markus and Forsman, Mikael and Enquist, Henrik and Olsen, Henrik Baare and Søgaard, Karen and Sjøgaard, Gisela and Østensvik, Tove and Nilsen, Petter and Andersen, Lars Louis and Jacobsen, Markus Due and Westgaard, Rolf and Mork, Paul Jarle and Fan, Xuelong and Wærsted, Morten and Veiersted, Kaj Bo}},
booktitle = {{Applied Human Factors and Ergonomics International}},
issn = {{2771-0718}},
keywords = {{Electromyography; Musculoskeletal disorders; Work exposure}},
language = {{eng}},
pages = {{85--97}},
publisher = {{AHFE International}},
series = {{Applied Human Factors and Ergonomics International}},
title = {{Upper Trapezius Muscle Activity Pattern at Work and Associated Neck Pain : Study Protocol for Analyses of a Pooled EMG Data Set}},
url = {{http://dx.doi.org/10.54941/ahfe1004360}},
doi = {{10.54941/ahfe1004360}},
volume = {{116}},
year = {{2023}},
}
