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Examining sociodemographic correlates of opioid use, misuse, and use disorders in the All of Us Research Program

BACKGROUND: The All of Us Research Program enrolls diverse US participants which provide a unique opportunity to better understand the problem of opioid use. This study aims to estimate the prevalence of opioid use and its association with sociodemographic characteristics from survey data and electr...

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Autores principales: Yeh, Hsueh-Han, Peltz-Rauchman, Cathryn, Johnson, Christine C., Pawloski, Pamala A., Chesla, David, Waring, Stephen C., Stevens, Alan B., Epstein, Mara, Joseph, Christine, Miller-Matero, Lisa R., Gui, Hongsheng, Tang, Amy, Boerwinkle, Eric, Cicek, Mine, Clark, Cheryl R., Cohn, Elizabeth, Gebo, Kelly, Loperena, Roxana, Mayo, Kelsey, Mockrin, Stephen, Ohno-Machado, Lucila, Schully, Sheri, Ramirez, Andrea H., Qian, Jun, Ahmedani, Brian K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10437856/
https://www.ncbi.nlm.nih.gov/pubmed/37594966
http://dx.doi.org/10.1371/journal.pone.0290416
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author Yeh, Hsueh-Han
Peltz-Rauchman, Cathryn
Johnson, Christine C.
Pawloski, Pamala A.
Chesla, David
Waring, Stephen C.
Stevens, Alan B.
Epstein, Mara
Joseph, Christine
Miller-Matero, Lisa R.
Gui, Hongsheng
Tang, Amy
Boerwinkle, Eric
Cicek, Mine
Clark, Cheryl R.
Cohn, Elizabeth
Gebo, Kelly
Loperena, Roxana
Mayo, Kelsey
Mockrin, Stephen
Ohno-Machado, Lucila
Schully, Sheri
Ramirez, Andrea H.
Qian, Jun
Ahmedani, Brian K.
author_facet Yeh, Hsueh-Han
Peltz-Rauchman, Cathryn
Johnson, Christine C.
Pawloski, Pamala A.
Chesla, David
Waring, Stephen C.
Stevens, Alan B.
Epstein, Mara
Joseph, Christine
Miller-Matero, Lisa R.
Gui, Hongsheng
Tang, Amy
Boerwinkle, Eric
Cicek, Mine
Clark, Cheryl R.
Cohn, Elizabeth
Gebo, Kelly
Loperena, Roxana
Mayo, Kelsey
Mockrin, Stephen
Ohno-Machado, Lucila
Schully, Sheri
Ramirez, Andrea H.
Qian, Jun
Ahmedani, Brian K.
author_sort Yeh, Hsueh-Han
collection PubMed
description BACKGROUND: The All of Us Research Program enrolls diverse US participants which provide a unique opportunity to better understand the problem of opioid use. This study aims to estimate the prevalence of opioid use and its association with sociodemographic characteristics from survey data and electronic health record (EHR). METHODS: A total of 214,206 participants were included in this study who competed survey modules and shared EHR data. Adjusted logistic regressions were used to explore the associations between sociodemographic characteristics and opioid use. RESULTS: The lifetime prevalence of street opioids was 4%, and the nonmedical use of prescription opioids was 9%. Men had higher odds of lifetime opioid use (aOR: 1.4 to 3.1) but reduced odds of current nonmedical use of prescription opioids (aOR: 0.6). Participants from other racial and ethnic groups were at reduced odds of lifetime use (aOR: 0.2 to 0.9) but increased odds of current use (aOR: 1.9 to 9.9) compared with non-Hispanic White participants. Foreign-born participants were at reduced risks of opioid use and diagnosed with opioid use disorders (OUD) compared with US-born participants (aOR: 0.36 to 0.67). Men, Younger, White, and US-born participants are more likely to have OUD. CONCLUSIONS: All of Us research data can be used as an indicator of national trends for monitoring the prevalence of receiving prescription opioids, diagnosis of OUD, and non-medical use of opioids in the US. The program employs a longitudinal design for routinely collecting health-related data including EHR data, that will contribute to the literature by providing important clinical information related to opioids over time. Additionally, this data will enhance the estimates of the prevalence of OUD among diverse populations, including groups that are underrepresented in the national survey data.
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spelling pubmed-104378562023-08-19 Examining sociodemographic correlates of opioid use, misuse, and use disorders in the All of Us Research Program Yeh, Hsueh-Han Peltz-Rauchman, Cathryn Johnson, Christine C. Pawloski, Pamala A. Chesla, David Waring, Stephen C. Stevens, Alan B. Epstein, Mara Joseph, Christine Miller-Matero, Lisa R. Gui, Hongsheng Tang, Amy Boerwinkle, Eric Cicek, Mine Clark, Cheryl R. Cohn, Elizabeth Gebo, Kelly Loperena, Roxana Mayo, Kelsey Mockrin, Stephen Ohno-Machado, Lucila Schully, Sheri Ramirez, Andrea H. Qian, Jun Ahmedani, Brian K. PLoS One Research Article BACKGROUND: The All of Us Research Program enrolls diverse US participants which provide a unique opportunity to better understand the problem of opioid use. This study aims to estimate the prevalence of opioid use and its association with sociodemographic characteristics from survey data and electronic health record (EHR). METHODS: A total of 214,206 participants were included in this study who competed survey modules and shared EHR data. Adjusted logistic regressions were used to explore the associations between sociodemographic characteristics and opioid use. RESULTS: The lifetime prevalence of street opioids was 4%, and the nonmedical use of prescription opioids was 9%. Men had higher odds of lifetime opioid use (aOR: 1.4 to 3.1) but reduced odds of current nonmedical use of prescription opioids (aOR: 0.6). Participants from other racial and ethnic groups were at reduced odds of lifetime use (aOR: 0.2 to 0.9) but increased odds of current use (aOR: 1.9 to 9.9) compared with non-Hispanic White participants. Foreign-born participants were at reduced risks of opioid use and diagnosed with opioid use disorders (OUD) compared with US-born participants (aOR: 0.36 to 0.67). Men, Younger, White, and US-born participants are more likely to have OUD. CONCLUSIONS: All of Us research data can be used as an indicator of national trends for monitoring the prevalence of receiving prescription opioids, diagnosis of OUD, and non-medical use of opioids in the US. The program employs a longitudinal design for routinely collecting health-related data including EHR data, that will contribute to the literature by providing important clinical information related to opioids over time. Additionally, this data will enhance the estimates of the prevalence of OUD among diverse populations, including groups that are underrepresented in the national survey data. Public Library of Science 2023-08-18 /pmc/articles/PMC10437856/ /pubmed/37594966 http://dx.doi.org/10.1371/journal.pone.0290416 Text en https://creativecommons.org/publicdomain/zero/1.0/This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Yeh, Hsueh-Han
Peltz-Rauchman, Cathryn
Johnson, Christine C.
Pawloski, Pamala A.
Chesla, David
Waring, Stephen C.
Stevens, Alan B.
Epstein, Mara
Joseph, Christine
Miller-Matero, Lisa R.
Gui, Hongsheng
Tang, Amy
Boerwinkle, Eric
Cicek, Mine
Clark, Cheryl R.
Cohn, Elizabeth
Gebo, Kelly
Loperena, Roxana
Mayo, Kelsey
Mockrin, Stephen
Ohno-Machado, Lucila
Schully, Sheri
Ramirez, Andrea H.
Qian, Jun
Ahmedani, Brian K.
Examining sociodemographic correlates of opioid use, misuse, and use disorders in the All of Us Research Program
title Examining sociodemographic correlates of opioid use, misuse, and use disorders in the All of Us Research Program
title_full Examining sociodemographic correlates of opioid use, misuse, and use disorders in the All of Us Research Program
title_fullStr Examining sociodemographic correlates of opioid use, misuse, and use disorders in the All of Us Research Program
title_full_unstemmed Examining sociodemographic correlates of opioid use, misuse, and use disorders in the All of Us Research Program
title_short Examining sociodemographic correlates of opioid use, misuse, and use disorders in the All of Us Research Program
title_sort examining sociodemographic correlates of opioid use, misuse, and use disorders in the all of us research program
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10437856/
https://www.ncbi.nlm.nih.gov/pubmed/37594966
http://dx.doi.org/10.1371/journal.pone.0290416
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