Endorsement of COVID-19 misinformation among criminal-legal involved individuals in the US

Criminal legal system involvement (CLI) is a critical social determinant of health that lies at the intersection of multiple sources of health disparities. The COVID-19 pandemic exacerbates many of these disparities, and specific vulnerabilities faced by the CLI population. This study investigated the prevalence of COVID-19-related misinformation, as well as its relationship with COVID-19 information…

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Associations between partisan media consumption, opioid use disorder stigma, and opioid policy support: An exploration of the media’s role in the ongoing opioid epidemic

We report on a preliminary investigation into the relationship between partisan media consumption (PMC) among U.S. adults and their (1) opioid use disorder (OUD) stigma, (2) national OUD policy support (e.g., Medicaid coverage for OUD treatment), (3) local OUD policy support (e.g., safe injection sites), (4) discriminatory OUD policies (e.g., denying housing), and (5) carceral…

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Openness to change among COVID misinformation endorsers

COVID misinformation endorsers (N = 1991) in a large, nationally representative survey (fielded in Fall 2021) were asked how likely they would adopt self-protective behaviors if a source they trusted debunked their prior misperceptions. Multiple linear regression estimated the relationships between openness to change and socio-demographics, health-related factors, and health information source usage patterns. Less…

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Gender identity, stimulant drug use, and criminal justice history on internalized stigma among a nationally representative sample of adults who misuse opioids

The rise of fatal stimulant use among adults who use opioids is a public health problem. Internalized stigma is a barrier to substance use treatment, which is greater for women and populations with criminal justice involvement. Using a nationally representative sample of adults in the United States from a probability-based survey on household opinions in…

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Latent class analysis of medical mistrust and COVID-19 vaccine hesitancy among adults in the United States just prior to FDA emergency use authorization

We used survey responses to conduct a latent class analysis to classify respondents into categories and explained this classification as a function of sociodemographic and attitudinal variables using multinomial logistic regression models. We then estimated the probability of respondents agreeing to receive a COVID-19 vaccine conditional on their medical mistrust category.

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