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dc.contributor.authorAxon, D.R.
dc.contributor.authorLe, D.
dc.date.accessioned2021-07-17T01:39:35Z
dc.date.available2021-07-17T01:39:35Z
dc.date.issued2021
dc.identifier.citationAxon, D. R., & Le, D. (2021). Predictors of pain severity among community-dwelling older adults with pain in the United States: Findings from a cross-sectional, retrospective study using 2017 Medical Expenditure Panel Survey. Medicine, 100(20), e26011.
dc.identifier.issn1536-5964
dc.identifier.pmid34011100
dc.identifier.doi10.1097/MD.0000000000026011
dc.identifier.urihttp://hdl.handle.net/10150/660681
dc.description.abstractABSTRACT: The purpose of this study was to determine predictors of pain severity among older United States (US) adults with pain.This cross-sectional, retrospective study utilized 2017 Medical Expenditure Panel Survey data. Eligible participants were alive for the calendar year, aged ≥50 years, and reported pain in the past 4 weeks. Hierarchical logistic regression models, adjusting for the survey design, were used to identify significant predictors of pain severity (i.e., extreme/quite a bit or moderate/little pain).An estimated 14,250,534 adults aged ≥50 with pain reported extreme/quite a bit of pain. Many variables were associated with extreme/quite a bit of pain, including: age 50 to 64 vs ≥65 years (adjusted odds ratio [AOR] = 1.49, 95% confidence interval [95% CI] = 1.22-1.82); males vs females (AOR = 0.80, 95% CI = 0.67-0.95); white race vs others (AOR = 0.75, 95% CI = 0.61-0.92); married vs other marital status (AOR = 1.31, 95% CI = 1.08-1.57); income <200% vs ≥200% federal poverty level (AOR = 1.30, 95% CI = 1.06-1.60); employed vs unemployed (AOR = 0.47, 95% CI = 0.37-0.60); limitation vs no limitation (AOR = 2.64, 95% CI = 2.09-3.33); 0, 1, 3, or 4 vs ≥5 chronic conditions (AOR ranged from 0.39 for 0 conditions to 0.77 for 4 conditions); excellent/very good or good vs fair/poor perceived physical health status (AOR ranged from 0.28 for excellent/very good to 0.40 for good); smokers vs non-smokers (AOR = 1.56, 95% CI = 1.27-1.93); exercise versus no exercise (AOR = 0.74, 95% CI = 0.62-0.88); and South vs West census region (AOR = 1.34, 95% CI = 1.04-1.74).This study found several characteristics could predict pain severity among older US adults who reported extreme/quite a bit of pain. These characteristics may guide specific areas of focus to improve patients' pain management. Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc.
dc.language.isoen
dc.publisherLippincott Williams and Wilkins
dc.rightsCopyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CC BY-NC).
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.titlePredictors of pain severity among community-dwelling older adults with pain in the United States: Findings from a cross-sectional, retrospective study using 2017 Medical Expenditure Panel Survey
dc.typeArticle
dc.typetext
dc.contributor.departmentDepartment of Pharmacy Practice & Science, Center for Health Outcomes and Pharmacoeconomic Research, University of Arizona College of Pharmacy
dc.identifier.journalMedicine
dc.description.noteOpen access journal
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
dc.eprint.versionFinal published version
dc.source.journaltitleMedicine
refterms.dateFOA2021-07-17T01:39:35Z


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Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CC BY-NC).
Except where otherwise noted, this item's license is described as Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CC BY-NC).