Background: Abusive and violent policing is an important determinant of health for people who inject drugs (PWID), which has been linked to structural vulnerability. However, further exploration of the intersectional nature of this vulnerability is warranted. California's Central Valley is a largely rural/suburban and politically conservative area, with high rates of injection drug use and overdose mortality, where rates of abusive policing of PWID have not been characterized.
Methods: We assessed self-reported experiences of abusive policing using a sequential mixed-methods approach, consisting of n = 54 in-depth qualitative interviews followed by a respondent driven survey of n = 494 PWID. Qualitative conclusions were used to guide the development a novel quantitative framework to explore intersectional structural vulnerability, drawing on UpSet visualization and multivariable logistic regression.
Results: Qualitative analysis suggests that abusive policing is not random or isolated; instead it can be understood in the context of routinized police harassment of PWID, which can escalate into physical or other forms of violence. These cycles are mediated by various forms of social disadvantage-often articulated through the frame of "looking like a drug user"-with deep connections to markers of race, class, gender, occupation and other elements of personal identity. Quantitative results confirm high frequency of abusive encounters with police, including physical violence (42%), verbal abuse (62%), sexual violence (9%), and the confiscation of new/unused syringes (39%). Females report higher rates of sexual violence and exploitation (aOR= 4.2; 95% CI: 2.1-9.0) and males report higher rates of physical violence (aOR=3.6; 95% CI: 2.4-5.6) and all other outcomes. Experiencing homelessness, having traded sex, and living in a rural zip code, are independently associated with numerous forms of police abuse. Intersectional analysis reveals clusters of individuals with highly elevated vulnerability, and in general, having a greater number of vulnerability factors was associated with increased odds of police abuse.
Conclusions: We find that structural vulnerability is linked-in a highly intersectional manner-with experiencing abusive police encounters among PWID in California's Central Valley. Monitoring, prevention, and response to deleterious law enforcement practices must be integrated into structural interventions to protect vulnerable groups. Reform is especially urgent in rural/suburban areas that are increasingly important focal points to reduce social and health harms associated with injection drug use.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940555 | PMC |
http://dx.doi.org/10.1016/j.drugpo.2020.102981 | DOI Listing |
Nat Commun
January 2025
Reservoir Technology Department, Institute for Energy Technology, 2007, Kjeller, Norway.
Borealis is a recently discovered submerged mud volcano in the Polar North Atlantic, differing from the numerous methane seepages previously identified in the region. Here we show in situ observations from a remotely operated vehicle (ROV), capturing the release of warm (11.5 °C) Neogene sediments and methane-rich fluids from a gryphon at Borealis.
View Article and Find Full Text PDFAnn Fam Med
January 2025
University of Saskatchewan, School of Rehabilitation Sciences, Saskatoon, Saskatchewan, Canada
Purpose: People who are transgender or gender diverse (PTGD) often experience difficulties navigating the health care system due to a variety of factors such as lack of knowledgeable and/or culturally competent clinicians, discrimination, and structural and/or socioeconomic barriers. We sought to determine whether a peer health navigator service in the Canadian province of Saskatchewan helped connect transgender and gender-diverse clients and health care practitioners (HCPs) to resources, and how this service changed their health care experiences.
Methods: Semistructured interviews were conducted with 9 clients and 9 HCPs.
Respir Med
January 2025
Respiratory Disease and Lung Function Unit, Department of Medicine and Surgery, University of Parma, Parma, Italy.
The increasing global elderly population, projected to reach 20% of individuals aged 65 and over by 2030, faces significant pulmonary challenges, including chronic obstructive pulmonary disease (COPD). Aging is associated with a natural decline in lung function and structural changes that exacerbate respiratory issues. COPD, characterized by chronic respiratory symptoms and airflow obstruction, presents a unique challenge in older patients due to the accelerated decline in lung function.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Oncology, Vejle Hospital, University Hospital of Southern Denmark, Odense, Denmark.
Background: Patients with severe mental illness experience serious inequity when facing cancer treatment. They are less likely to be referred for cancer treatment following recommended guidelines and have poorer cancer survival than patients without mental illness. Relevant specialties such as psychiatry and general practice are rarely involved, and the patient perspective is rarely represented in research in the field.
View Article and Find Full Text PDFPLoS One
January 2025
School of Information and Communication Engineering, Beijing University of Information Science and Technology, Bei Jing City, China.
To enhance the intelligent classification of computer vulnerabilities and improve the efficiency and accuracy of network security management, this study delves into the application of a comprehensive classification system that integrates the Memristor Neural Network (MNN) and an improved Temporal Convolutional Neural Network (TCNN) in network security management. This system not only focuses on the precise classification of vulnerability data but also emphasizes its core role in strengthening the network security management framework. Firstly, the study designs and implements a neural network model based on memristors.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!