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

Examining sociodemographic correlates of opioid use, misuse, and use disorders in the All of Us Research Program.
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DOI:
10.1371/journal.pone.0290416
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发表时间:
2023
期刊:
影响因子:
3.7
通讯作者:
--
中科院分区:
综合性期刊3区
文献类型:
--
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我们所有人的研究计划招收了不同的美国参与者,这为更好地了解阿片类药物使用问题提供了一个独特的机会。本研究旨在从调查数据和电子健康记录(EHR)中估计阿片类药物使用的流行程度及其与社会人口学特征的关系。本研究共纳入了214,206名参与者,他们竞争调查模块并共享EHR数据。采用调整后的逻辑回归来探讨社会人口学特征与阿片类药物使用之间的关系。街头阿片类药物的终生患病率为4%,处方阿片类药物的非医疗使用为9%。男性终生使用阿片类药物的几率较高(aOR: 1.4至3.1),但目前非医疗使用处方阿片类药物的几率较低(aOR: 0.6)。与非西班牙裔白人参与者相比,其他种族和民族的参与者终生使用的几率降低(aOR: 0.2至0.9),但当前使用的几率增加(aOR: 1.9至9.9)。与美国出生的参与者相比,外国出生的参与者使用阿片类药物和被诊断为阿片类药物使用障碍(OUD)的风险较低(aOR: 0.36至0.67)。男性、年轻人、白人和美国出生的参与者更容易患OUD。所有的Us研究数据都可以作为监测美国接受处方阿片类药物流行率、OUD诊断和阿片类药物非医疗使用的国家趋势的指标。该计划采用纵向设计,定期收集与健康相关的数据,包括电子病历数据,这将通过提供与阿片类药物相关的重要临床信息,为文献做出贡献。此外,该数据将增强对不同人群中OUD患病率的估计,包括在全国调查数据中代表性不足的群体。
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). 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. 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. 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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