Cargando…

Cardiovascular Disease Risk Factors Predict the Development and Numbers of Common Musculoskeletal Disorders in a Prospective Cohort

The aim of the study is to assess risk of common musculoskeletal disorders (MSDs) based on cardiovascular disease (CVD) risk scores. METHODS: Data from a 9-year prospective cohort of 1224 workers in three states were analyzed. Baseline data included questionnaires, structured interviews, physical ex...

Descripción completa

Detalles Bibliográficos
Autores principales: Hegmann, Kurt T., Thiese, Matthew S., Wood, Eric M., Kapellusch, Jay, Foster, James C., Drury, David L., Kendall, Richard, Merryweather, Andrew S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10417266/
https://www.ncbi.nlm.nih.gov/pubmed/37264528
http://dx.doi.org/10.1097/JOM.0000000000002895
_version_ 1785087985182572544
author Hegmann, Kurt T.
Thiese, Matthew S.
Wood, Eric M.
Kapellusch, Jay
Foster, James C.
Drury, David L.
Kendall, Richard
Merryweather, Andrew S.
author_facet Hegmann, Kurt T.
Thiese, Matthew S.
Wood, Eric M.
Kapellusch, Jay
Foster, James C.
Drury, David L.
Kendall, Richard
Merryweather, Andrew S.
author_sort Hegmann, Kurt T.
collection PubMed
description The aim of the study is to assess risk of common musculoskeletal disorders (MSDs) based on cardiovascular disease (CVD) risk scores. METHODS: Data from a 9-year prospective cohort of 1224 workers in three states were analyzed. Baseline data included questionnaires, structured interviews, physical examinations, anthropometric measurements, nerve conduction studies, and individualized measurement of job physical factors. Monthly follow-ups were conducted. Framingham risk scores were calculated. A priori case definitions were constructed for carpal tunnel syndrome, lateral epicondylopathy, medial epicondylopathy, and rotator cuff tendinopathy. RESULTS: Adjusted RRs for one or more MSDs increased to 3.90 (95% confidence interval, 2.20–6.90) among those with 10-year cardiovascular disease risk scores greater than 15% and 17.4 (95% confidence interval, 3.85–78.62) among those with more than 4 disorders. CONCLUSIONS: Cardiovascular disease factors are strongly associated with the subsequent development of common MSDs. Risks among those with multiple MSDs are considerably stronger.
format Online
Article
Text
id pubmed-10417266
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Lippincott Williams & Wilkins
record_format MEDLINE/PubMed
spelling pubmed-104172662023-08-12 Cardiovascular Disease Risk Factors Predict the Development and Numbers of Common Musculoskeletal Disorders in a Prospective Cohort Hegmann, Kurt T. Thiese, Matthew S. Wood, Eric M. Kapellusch, Jay Foster, James C. Drury, David L. Kendall, Richard Merryweather, Andrew S. J Occup Environ Med Online-Only: Fast Track Article The aim of the study is to assess risk of common musculoskeletal disorders (MSDs) based on cardiovascular disease (CVD) risk scores. METHODS: Data from a 9-year prospective cohort of 1224 workers in three states were analyzed. Baseline data included questionnaires, structured interviews, physical examinations, anthropometric measurements, nerve conduction studies, and individualized measurement of job physical factors. Monthly follow-ups were conducted. Framingham risk scores were calculated. A priori case definitions were constructed for carpal tunnel syndrome, lateral epicondylopathy, medial epicondylopathy, and rotator cuff tendinopathy. RESULTS: Adjusted RRs for one or more MSDs increased to 3.90 (95% confidence interval, 2.20–6.90) among those with 10-year cardiovascular disease risk scores greater than 15% and 17.4 (95% confidence interval, 3.85–78.62) among those with more than 4 disorders. CONCLUSIONS: Cardiovascular disease factors are strongly associated with the subsequent development of common MSDs. Risks among those with multiple MSDs are considerably stronger. Lippincott Williams & Wilkins 2023-08 2023-06-02 /pmc/articles/PMC10417266/ /pubmed/37264528 http://dx.doi.org/10.1097/JOM.0000000000002895 Text en Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American College of Occupational and Environmental Medicine. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Online-Only: Fast Track Article
Hegmann, Kurt T.
Thiese, Matthew S.
Wood, Eric M.
Kapellusch, Jay
Foster, James C.
Drury, David L.
Kendall, Richard
Merryweather, Andrew S.
Cardiovascular Disease Risk Factors Predict the Development and Numbers of Common Musculoskeletal Disorders in a Prospective Cohort
title Cardiovascular Disease Risk Factors Predict the Development and Numbers of Common Musculoskeletal Disorders in a Prospective Cohort
title_full Cardiovascular Disease Risk Factors Predict the Development and Numbers of Common Musculoskeletal Disorders in a Prospective Cohort
title_fullStr Cardiovascular Disease Risk Factors Predict the Development and Numbers of Common Musculoskeletal Disorders in a Prospective Cohort
title_full_unstemmed Cardiovascular Disease Risk Factors Predict the Development and Numbers of Common Musculoskeletal Disorders in a Prospective Cohort
title_short Cardiovascular Disease Risk Factors Predict the Development and Numbers of Common Musculoskeletal Disorders in a Prospective Cohort
title_sort cardiovascular disease risk factors predict the development and numbers of common musculoskeletal disorders in a prospective cohort
topic Online-Only: Fast Track Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10417266/
https://www.ncbi.nlm.nih.gov/pubmed/37264528
http://dx.doi.org/10.1097/JOM.0000000000002895
work_keys_str_mv AT hegmannkurtt cardiovasculardiseaseriskfactorspredictthedevelopmentandnumbersofcommonmusculoskeletaldisordersinaprospectivecohort
AT thiesematthews cardiovasculardiseaseriskfactorspredictthedevelopmentandnumbersofcommonmusculoskeletaldisordersinaprospectivecohort
AT woodericm cardiovasculardiseaseriskfactorspredictthedevelopmentandnumbersofcommonmusculoskeletaldisordersinaprospectivecohort
AT kapelluschjay cardiovasculardiseaseriskfactorspredictthedevelopmentandnumbersofcommonmusculoskeletaldisordersinaprospectivecohort
AT fosterjamesc cardiovasculardiseaseriskfactorspredictthedevelopmentandnumbersofcommonmusculoskeletaldisordersinaprospectivecohort
AT drurydavidl cardiovasculardiseaseriskfactorspredictthedevelopmentandnumbersofcommonmusculoskeletaldisordersinaprospectivecohort
AT kendallrichard cardiovasculardiseaseriskfactorspredictthedevelopmentandnumbersofcommonmusculoskeletaldisordersinaprospectivecohort
AT merryweatherandrews cardiovasculardiseaseriskfactorspredictthedevelopmentandnumbersofcommonmusculoskeletaldisordersinaprospectivecohort