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Sociodemographic and Clinical Predictors of Prescription Opioid Use in a Longitudinal Community-Based Cohort Study of Middle-Aged and Older Adults
OBJECTIVES: Identifying factors associated with opioid use in middle-aged and older adults is a fundamental step in the mitigation of potentially unnecessary opioid consumption and opioid-related harms. METHODS: Using longitudinal data on a community-based cohort of adults aged 50–90 years residing...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8854450/ https://www.ncbi.nlm.nih.gov/pubmed/34404244 http://dx.doi.org/10.1177/08982643211039338 |
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author | Shiue, Kristin Y. Dasgupta, Nabarun Naumann, Rebecca B. Nelson, Amanda E. Golightly, Yvonne M. |
author_facet | Shiue, Kristin Y. Dasgupta, Nabarun Naumann, Rebecca B. Nelson, Amanda E. Golightly, Yvonne M. |
author_sort | Shiue, Kristin Y. |
collection | PubMed |
description | OBJECTIVES: Identifying factors associated with opioid use in middle-aged and older adults is a fundamental step in the mitigation of potentially unnecessary opioid consumption and opioid-related harms. METHODS: Using longitudinal data on a community-based cohort of adults aged 50–90 years residing in Johnston County, North Carolina, we examined sociodemographic and clinical factors in non-opioid users (n = 786) at baseline (2006–2010) as predictors of opioid use at follow-up (2013–2015). Variables included age, sex, race, obesity, educational attainment, employment status, household poverty rate, marital status, depressive symptoms, social support, pain catastrophizing, pain sensitivity, insurance status, polypharmacy, and smoking status. RESULTS: At follow-up, 13% of participants were using prescription opioids. In the multivariable model, high pain catastrophizing (adjusted odds ratio; 95% confidence interval = 2.14; 1.33–3.46), polypharmacy (2.08; 1.23–3.53), and history of depressive symptoms (2.00; 1.19–3.38) were independent markers of opioid use. DISCUSSION: Findings support the assessment of these modifiable factors during clinical encounters in patients ≥ 50 years old with chronic pain. |
format | Online Article Text |
id | pubmed-8854450 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-88544502022-03-27 Sociodemographic and Clinical Predictors of Prescription Opioid Use in a Longitudinal Community-Based Cohort Study of Middle-Aged and Older Adults Shiue, Kristin Y. Dasgupta, Nabarun Naumann, Rebecca B. Nelson, Amanda E. Golightly, Yvonne M. J Aging Health Articles OBJECTIVES: Identifying factors associated with opioid use in middle-aged and older adults is a fundamental step in the mitigation of potentially unnecessary opioid consumption and opioid-related harms. METHODS: Using longitudinal data on a community-based cohort of adults aged 50–90 years residing in Johnston County, North Carolina, we examined sociodemographic and clinical factors in non-opioid users (n = 786) at baseline (2006–2010) as predictors of opioid use at follow-up (2013–2015). Variables included age, sex, race, obesity, educational attainment, employment status, household poverty rate, marital status, depressive symptoms, social support, pain catastrophizing, pain sensitivity, insurance status, polypharmacy, and smoking status. RESULTS: At follow-up, 13% of participants were using prescription opioids. In the multivariable model, high pain catastrophizing (adjusted odds ratio; 95% confidence interval = 2.14; 1.33–3.46), polypharmacy (2.08; 1.23–3.53), and history of depressive symptoms (2.00; 1.19–3.38) were independent markers of opioid use. DISCUSSION: Findings support the assessment of these modifiable factors during clinical encounters in patients ≥ 50 years old with chronic pain. SAGE Publications 2021-08-18 2022-03 /pmc/articles/PMC8854450/ /pubmed/34404244 http://dx.doi.org/10.1177/08982643211039338 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Articles Shiue, Kristin Y. Dasgupta, Nabarun Naumann, Rebecca B. Nelson, Amanda E. Golightly, Yvonne M. Sociodemographic and Clinical Predictors of Prescription Opioid Use in a Longitudinal Community-Based Cohort Study of Middle-Aged and Older Adults |
title | Sociodemographic and Clinical Predictors of Prescription Opioid Use
in a Longitudinal Community-Based Cohort Study of Middle-Aged and Older
Adults |
title_full | Sociodemographic and Clinical Predictors of Prescription Opioid Use
in a Longitudinal Community-Based Cohort Study of Middle-Aged and Older
Adults |
title_fullStr | Sociodemographic and Clinical Predictors of Prescription Opioid Use
in a Longitudinal Community-Based Cohort Study of Middle-Aged and Older
Adults |
title_full_unstemmed | Sociodemographic and Clinical Predictors of Prescription Opioid Use
in a Longitudinal Community-Based Cohort Study of Middle-Aged and Older
Adults |
title_short | Sociodemographic and Clinical Predictors of Prescription Opioid Use
in a Longitudinal Community-Based Cohort Study of Middle-Aged and Older
Adults |
title_sort | sociodemographic and clinical predictors of prescription opioid use
in a longitudinal community-based cohort study of middle-aged and older
adults |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8854450/ https://www.ncbi.nlm.nih.gov/pubmed/34404244 http://dx.doi.org/10.1177/08982643211039338 |
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