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Risk Factor Profiles for Individuals With Diagnosed OA and With Symptoms Indicative of OA: Findings From the Canadian Longitudinal Study on Aging

OBJECTIVE: The vast majority of published estimates of osteoarthritis (OA) burden are based on an OA diagnosis. These data are limited, as individuals often do not visit a physician until their symptoms are moderate to severe. This study compared individuals with an OA diagnosis to those with OA joi...

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Autores principales: Yip, Calvin, Badley, Elizabeth M., Canizares, Mayilee, Power, J. Denise, Perruccio, Anthony V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7077769/
https://www.ncbi.nlm.nih.gov/pubmed/32114717
http://dx.doi.org/10.1002/acr2.11120
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author Yip, Calvin
Badley, Elizabeth M.
Canizares, Mayilee
Power, J. Denise
Perruccio, Anthony V.
author_facet Yip, Calvin
Badley, Elizabeth M.
Canizares, Mayilee
Power, J. Denise
Perruccio, Anthony V.
author_sort Yip, Calvin
collection PubMed
description OBJECTIVE: The vast majority of published estimates of osteoarthritis (OA) burden are based on an OA diagnosis. These data are limited, as individuals often do not visit a physician until their symptoms are moderate to severe. This study compared individuals with an OA diagnosis to those with OA joint symptoms but without a diagnosis considering a number of sociodemographic and health characteristics. A further distinction was made between individuals with symptoms in one joint site and those with symptoms in multiple joint sites. METHODS: Data are from 23 186 respondents aged 45 to 85 years from the first cycle of the Canadian Longitudinal Study on Aging. A multinomial logistic regression model examined the relationship between sociodemographic‐ and health‐related characteristics and OA status (diagnosed OA, joint symptoms without OA, no OA or joint symptoms). In addition, logistic regression models assessed the relationship between OA status and usually experiencing pain and having some degree of functional limitation. RESULTS: Twenty‐one percent of respondents reported a diagnosis of OA, and 25% reported symptoms typical of OA but without an OA diagnosis. Other than being slightly younger, the characteristic profile of individuals with symptoms in two or more joint sites was indistinguishable from that of those with diagnosed OA. CONCLUSION: It may be warranted to consider OA‐like multiple joint symptoms when deriving estimates of OA‐attributed population health and cost burden.
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spelling pubmed-70777692020-03-19 Risk Factor Profiles for Individuals With Diagnosed OA and With Symptoms Indicative of OA: Findings From the Canadian Longitudinal Study on Aging Yip, Calvin Badley, Elizabeth M. Canizares, Mayilee Power, J. Denise Perruccio, Anthony V. ACR Open Rheumatol Original Articles OBJECTIVE: The vast majority of published estimates of osteoarthritis (OA) burden are based on an OA diagnosis. These data are limited, as individuals often do not visit a physician until their symptoms are moderate to severe. This study compared individuals with an OA diagnosis to those with OA joint symptoms but without a diagnosis considering a number of sociodemographic and health characteristics. A further distinction was made between individuals with symptoms in one joint site and those with symptoms in multiple joint sites. METHODS: Data are from 23 186 respondents aged 45 to 85 years from the first cycle of the Canadian Longitudinal Study on Aging. A multinomial logistic regression model examined the relationship between sociodemographic‐ and health‐related characteristics and OA status (diagnosed OA, joint symptoms without OA, no OA or joint symptoms). In addition, logistic regression models assessed the relationship between OA status and usually experiencing pain and having some degree of functional limitation. RESULTS: Twenty‐one percent of respondents reported a diagnosis of OA, and 25% reported symptoms typical of OA but without an OA diagnosis. Other than being slightly younger, the characteristic profile of individuals with symptoms in two or more joint sites was indistinguishable from that of those with diagnosed OA. CONCLUSION: It may be warranted to consider OA‐like multiple joint symptoms when deriving estimates of OA‐attributed population health and cost burden. John Wiley and Sons Inc. 2020-03-01 /pmc/articles/PMC7077769/ /pubmed/32114717 http://dx.doi.org/10.1002/acr2.11120 Text en © 2020 The Authors. ACR Open Rheumatology published by Wiley Periodicals, Inc. on behalf of American College of Rheumatology. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Yip, Calvin
Badley, Elizabeth M.
Canizares, Mayilee
Power, J. Denise
Perruccio, Anthony V.
Risk Factor Profiles for Individuals With Diagnosed OA and With Symptoms Indicative of OA: Findings From the Canadian Longitudinal Study on Aging
title Risk Factor Profiles for Individuals With Diagnosed OA and With Symptoms Indicative of OA: Findings From the Canadian Longitudinal Study on Aging
title_full Risk Factor Profiles for Individuals With Diagnosed OA and With Symptoms Indicative of OA: Findings From the Canadian Longitudinal Study on Aging
title_fullStr Risk Factor Profiles for Individuals With Diagnosed OA and With Symptoms Indicative of OA: Findings From the Canadian Longitudinal Study on Aging
title_full_unstemmed Risk Factor Profiles for Individuals With Diagnosed OA and With Symptoms Indicative of OA: Findings From the Canadian Longitudinal Study on Aging
title_short Risk Factor Profiles for Individuals With Diagnosed OA and With Symptoms Indicative of OA: Findings From the Canadian Longitudinal Study on Aging
title_sort risk factor profiles for individuals with diagnosed oa and with symptoms indicative of oa: findings from the canadian longitudinal study on aging
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7077769/
https://www.ncbi.nlm.nih.gov/pubmed/32114717
http://dx.doi.org/10.1002/acr2.11120
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