Cargando…

Monitoring work-related physical activity and estimating lower-limb loading: a proof-of-concept study

BACKGROUND: Physical activity (PA) is important to general health and knee osteoarthritis (OA). Excessive workplace PA is an established risk factor for knee OA however, appropriate methods of measurement are unclear. There is a need to examine and assess the utility of new methods of measuring work...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Xia, Perry, Thomas A, Caroupapoullé, Jimmy, Forrester, Alexander, Arden, Nigel K, Hunter, David J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8212530/
https://www.ncbi.nlm.nih.gov/pubmed/34144697
http://dx.doi.org/10.1186/s12891-021-04409-z
_version_ 1783709655862607872
author Wang, Xia
Perry, Thomas A
Caroupapoullé, Jimmy
Forrester, Alexander
Arden, Nigel K
Hunter, David J
author_facet Wang, Xia
Perry, Thomas A
Caroupapoullé, Jimmy
Forrester, Alexander
Arden, Nigel K
Hunter, David J
author_sort Wang, Xia
collection PubMed
description BACKGROUND: Physical activity (PA) is important to general health and knee osteoarthritis (OA). Excessive workplace PA is an established risk factor for knee OA however, appropriate methods of measurement are unclear. There is a need to examine and assess the utility of new methods of measuring workplace PA and estimating knee load prior to application to large-scale, knee OA cohorts. Our aims, therefore, were to monitor workplace PA and estimate lower-limb loading across different occupations in health participants. METHODS: Twenty-four healthy adults, currently working full-time in a single occupation (≥ 35 h/week) and free of musculoskeletal disease, comorbidity and had no history of lower-limb injury/surgery (past 12-months) were recruited across New South Wales (Australia). A convenience sample was recruited with occupations assigned to levels of workload; sedentary, light manual and heavy manual. Metrics of workplace PA including tasks performed (i.e., sitting), step-count and lower-limb loading were monitored over 10 working days using a daily survey, smartwatch, and a smartphone. RESULTS: Participants of light manual occupations had the greatest between-person variations in mean lower-limb load (from 2 to 59 kg*m/s3). Lower-limb load for most participants of the light manual group was similar to a single participant in heavy manual work (30 kg*m/s3) and was at least three times greater than the sedentary group (2 kg*m/s3). The trends of workplace PA over working hours were largely consistent, per individual, but rare events of extreme loads were observed across all participants (up to 760 kg*m/s3). CONCLUSIONS: There are large interpersonal variations in metrics of workplace PA, particularly among light and heavy manual occupations. Our estimates of lower-limb loading were largely consistent with pre-conceived levels of physical demand. We present a new approach to monitoring PA and estimating lower-limb loading, which could be applied to future occupational studies of knee OA. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12891-021-04409-z.
format Online
Article
Text
id pubmed-8212530
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-82125302021-06-22 Monitoring work-related physical activity and estimating lower-limb loading: a proof-of-concept study Wang, Xia Perry, Thomas A Caroupapoullé, Jimmy Forrester, Alexander Arden, Nigel K Hunter, David J BMC Musculoskelet Disord Research BACKGROUND: Physical activity (PA) is important to general health and knee osteoarthritis (OA). Excessive workplace PA is an established risk factor for knee OA however, appropriate methods of measurement are unclear. There is a need to examine and assess the utility of new methods of measuring workplace PA and estimating knee load prior to application to large-scale, knee OA cohorts. Our aims, therefore, were to monitor workplace PA and estimate lower-limb loading across different occupations in health participants. METHODS: Twenty-four healthy adults, currently working full-time in a single occupation (≥ 35 h/week) and free of musculoskeletal disease, comorbidity and had no history of lower-limb injury/surgery (past 12-months) were recruited across New South Wales (Australia). A convenience sample was recruited with occupations assigned to levels of workload; sedentary, light manual and heavy manual. Metrics of workplace PA including tasks performed (i.e., sitting), step-count and lower-limb loading were monitored over 10 working days using a daily survey, smartwatch, and a smartphone. RESULTS: Participants of light manual occupations had the greatest between-person variations in mean lower-limb load (from 2 to 59 kg*m/s3). Lower-limb load for most participants of the light manual group was similar to a single participant in heavy manual work (30 kg*m/s3) and was at least three times greater than the sedentary group (2 kg*m/s3). The trends of workplace PA over working hours were largely consistent, per individual, but rare events of extreme loads were observed across all participants (up to 760 kg*m/s3). CONCLUSIONS: There are large interpersonal variations in metrics of workplace PA, particularly among light and heavy manual occupations. Our estimates of lower-limb loading were largely consistent with pre-conceived levels of physical demand. We present a new approach to monitoring PA and estimating lower-limb loading, which could be applied to future occupational studies of knee OA. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12891-021-04409-z. BioMed Central 2021-06-18 /pmc/articles/PMC8212530/ /pubmed/34144697 http://dx.doi.org/10.1186/s12891-021-04409-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Wang, Xia
Perry, Thomas A
Caroupapoullé, Jimmy
Forrester, Alexander
Arden, Nigel K
Hunter, David J
Monitoring work-related physical activity and estimating lower-limb loading: a proof-of-concept study
title Monitoring work-related physical activity and estimating lower-limb loading: a proof-of-concept study
title_full Monitoring work-related physical activity and estimating lower-limb loading: a proof-of-concept study
title_fullStr Monitoring work-related physical activity and estimating lower-limb loading: a proof-of-concept study
title_full_unstemmed Monitoring work-related physical activity and estimating lower-limb loading: a proof-of-concept study
title_short Monitoring work-related physical activity and estimating lower-limb loading: a proof-of-concept study
title_sort monitoring work-related physical activity and estimating lower-limb loading: a proof-of-concept study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8212530/
https://www.ncbi.nlm.nih.gov/pubmed/34144697
http://dx.doi.org/10.1186/s12891-021-04409-z
work_keys_str_mv AT wangxia monitoringworkrelatedphysicalactivityandestimatinglowerlimbloadingaproofofconceptstudy
AT perrythomasa monitoringworkrelatedphysicalactivityandestimatinglowerlimbloadingaproofofconceptstudy
AT caroupapoullejimmy monitoringworkrelatedphysicalactivityandestimatinglowerlimbloadingaproofofconceptstudy
AT forresteralexander monitoringworkrelatedphysicalactivityandestimatinglowerlimbloadingaproofofconceptstudy
AT ardennigelk monitoringworkrelatedphysicalactivityandestimatinglowerlimbloadingaproofofconceptstudy
AT hunterdavidj monitoringworkrelatedphysicalactivityandestimatinglowerlimbloadingaproofofconceptstudy