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
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Department of Pharmacy Practice & Science, Center for Health Outcomes and Pharmacoeconomic Research, University of Arizona College of PharmacyIssue Date
2021
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Lippincott Williams and WilkinsCitation
Axon, 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.Journal
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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).Collection Information
This 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.Abstract
ABSTRACT: 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.Note
Open access journalISSN
1536-5964PubMed ID
34011100Version
Final published versionae974a485f413a2113503eed53cd6c53
10.1097/MD.0000000000026011
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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).

