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CAM use among overweight and obese persons with radiographic knee osteoarthritis
BACKGROUND: Obesity is associated with knee pain and is an independent predictor of incident knee osteoarthritis (OA); increased pain with movement often leads patients to adopt sedentary lifestyles to avoid pain. Detailed descriptions of pain management strategies by body mass index (BMI) level amo...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3850510/ https://www.ncbi.nlm.nih.gov/pubmed/24073985 http://dx.doi.org/10.1186/1472-6882-13-241 |
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author | Lapane, Kate L Yang, Shibing Jawahar, Rachel McAlindon, Timothy Eaton, Charles B |
author_facet | Lapane, Kate L Yang, Shibing Jawahar, Rachel McAlindon, Timothy Eaton, Charles B |
author_sort | Lapane, Kate L |
collection | PubMed |
description | BACKGROUND: Obesity is associated with knee pain and is an independent predictor of incident knee osteoarthritis (OA); increased pain with movement often leads patients to adopt sedentary lifestyles to avoid pain. Detailed descriptions of pain management strategies by body mass index (BMI) level among OA patients are lacking. The objectives were to describe complementary and alternative medicine (CAM) and conventional medication use by BMI level and identify correlates of CAM use by BMI level. METHODS: Using Osteoarthritis Initiative baseline data, 2,675 patients with radiographic tibiofemoral OA in at least one knee were identified. Use of CAM therapies and conventional medications was determined by interviewers. Potential correlates included SF-12, CES-D, Western Ontario and McMaster Universities Osteoarthritis Index, and Knee injury and Osteoarthritis Outcome Score quality of life. Multinomial logistic regression models adjusting for sociodemographic and clinical factors provided estimates of the association between BMI levels and treatment use; binary logistic regression identified correlates of CAM use. RESULTS: BMI was inversely associated with CAM use (45% users had BMI ≥35 kg/m(2); 54% had BMI <25 kg/m(2)), but positively associated with conventional medication use (54% users had BMI ≥35 kg/m(2); 35.1% had BMI <25 kg/m(2)). Those with BMI ≥30 kg/m(2) were less likely to use CAM alone or in combination with conventional medications when compared to patients with BMI <25 kg/m(2). CONCLUSIONS: CAM use is common among people with knee OA but is inversely associated with BMI. Understanding ways to further symptom management in OA among overweight and obese patients is warranted. |
format | Online Article Text |
id | pubmed-3850510 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-38505102013-12-05 CAM use among overweight and obese persons with radiographic knee osteoarthritis Lapane, Kate L Yang, Shibing Jawahar, Rachel McAlindon, Timothy Eaton, Charles B BMC Complement Altern Med Research Article BACKGROUND: Obesity is associated with knee pain and is an independent predictor of incident knee osteoarthritis (OA); increased pain with movement often leads patients to adopt sedentary lifestyles to avoid pain. Detailed descriptions of pain management strategies by body mass index (BMI) level among OA patients are lacking. The objectives were to describe complementary and alternative medicine (CAM) and conventional medication use by BMI level and identify correlates of CAM use by BMI level. METHODS: Using Osteoarthritis Initiative baseline data, 2,675 patients with radiographic tibiofemoral OA in at least one knee were identified. Use of CAM therapies and conventional medications was determined by interviewers. Potential correlates included SF-12, CES-D, Western Ontario and McMaster Universities Osteoarthritis Index, and Knee injury and Osteoarthritis Outcome Score quality of life. Multinomial logistic regression models adjusting for sociodemographic and clinical factors provided estimates of the association between BMI levels and treatment use; binary logistic regression identified correlates of CAM use. RESULTS: BMI was inversely associated with CAM use (45% users had BMI ≥35 kg/m(2); 54% had BMI <25 kg/m(2)), but positively associated with conventional medication use (54% users had BMI ≥35 kg/m(2); 35.1% had BMI <25 kg/m(2)). Those with BMI ≥30 kg/m(2) were less likely to use CAM alone or in combination with conventional medications when compared to patients with BMI <25 kg/m(2). CONCLUSIONS: CAM use is common among people with knee OA but is inversely associated with BMI. Understanding ways to further symptom management in OA among overweight and obese patients is warranted. BioMed Central 2013-09-28 /pmc/articles/PMC3850510/ /pubmed/24073985 http://dx.doi.org/10.1186/1472-6882-13-241 Text en Copyright © 2013 Lapane et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Lapane, Kate L Yang, Shibing Jawahar, Rachel McAlindon, Timothy Eaton, Charles B CAM use among overweight and obese persons with radiographic knee osteoarthritis |
title | CAM use among overweight and obese persons with radiographic knee osteoarthritis |
title_full | CAM use among overweight and obese persons with radiographic knee osteoarthritis |
title_fullStr | CAM use among overweight and obese persons with radiographic knee osteoarthritis |
title_full_unstemmed | CAM use among overweight and obese persons with radiographic knee osteoarthritis |
title_short | CAM use among overweight and obese persons with radiographic knee osteoarthritis |
title_sort | cam use among overweight and obese persons with radiographic knee osteoarthritis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3850510/ https://www.ncbi.nlm.nih.gov/pubmed/24073985 http://dx.doi.org/10.1186/1472-6882-13-241 |
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