2021
DOI: 10.1186/s12891-021-04041-x
|View full text |Cite
|
Sign up to set email alerts
|

WOMAC score and arthritis diagnosis predict decreased agricultural productivity

Abstract: Background Arthritis and joint pain are highly prevalent in agricultural (ag) workers. Many ag operations are sustained by a small number of workers, and the disability of even one worker thus contributes to economic hardship. This study investigated associations between joint health in Montana ag workers and economic well-being and work capacity. Methods This observational mixed-methods study utilized quantitative survey data and qualitative focus… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

1
5
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
2

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(6 citation statements)
references
References 29 publications
1
5
0
Order By: Relevance
“…This demonstrates a tripartite link between workload, symptoms, and OA biomarker levels. Associations between increasing WOMAC and work capacity agreed with prior findings of declining productivity with high WOMAC score and arthritis diagnosis [ 8 ].…”
Section: Discussionsupporting
confidence: 84%
See 4 more Smart Citations
“…This demonstrates a tripartite link between workload, symptoms, and OA biomarker levels. Associations between increasing WOMAC and work capacity agreed with prior findings of declining productivity with high WOMAC score and arthritis diagnosis [ 8 ].…”
Section: Discussionsupporting
confidence: 84%
“…Our study sought to determine whether calving season is an independent risk factor for the development of OA in Montana ranchers. Calving operations have been identified by ranchers as the most physically demanding season of the year and has features that may contribute to joint injury and physiologic stress [ 8 ]. Pre-season and within calving season, we assayed blood, urine and saliva samples for biomarkers known to be associated with OA and with increasing OA severity and analyzed these data with regard to predictors included in our pre-season and in-season survey.…”
Section: Discussionmentioning
confidence: 99%
See 3 more Smart Citations