ArticleAmerican journal of public health2016
Population-Attributable Risk Percentages for Racialized Risk Environments.
Article in American journal of public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Mortgage discrimination at the intersection of race and sexual orientation and its association with HIV incidence among sexual minority men in the U.S.Annals of epidemiology · 2025Article
- A hypothetical intervention to reduce inequities in anxiety for Multiracial people: simulating an intervention on childhood adversity.American journal of epidemiology · 2024Article
- Racialized environments and syringe services program implementation: County-level factors.Drug and alcohol dependence · 2024Article
- Correlates of Recent HIV Testing Among People Who Inject Drugs in Rural Areas: A Multi-site Cross-Sectional Study, 2018-2020.AIDS and behavior · 2024Article
- Perceived healthcare discrimination and well-being among older adults in the United States and Brazil.SSM - population health · 2022Article
- Negotiating sex work and client interactions in the context of a fentanyl-related overdose epidemic.Culture, health & sexuality · 2021Article
- Prescription Drug Monitoring Programs and Overdoses: Advancing the Next Generation of Research.American journal of public health · 2020Article
- A Public Health of Consequence: Shifting the Cultural Narrative From Churning Grants to a Scholarship of Consequence.American journal of public health · 2019Article
- The intersectional risk environment of people who use drugs.Social science & medicine (1982) · 2019Article
- Place-based predictors of HIV viral suppression and durable suppression among heterosexuals in New York city.AIDS care · 2019Article
- Perceived neighborhood disorder, racial-ethnic discrimination and leading risk factors for chronic disease among women: California Behavioral Risk Factor Surveillance System, 2013.SSM - population health · 2018Article
- Place-Based Predictors of HIV Viral Suppression and Durable Suppression Among Men Who Have Sex With Men in New York City.AIDS and behavior · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Research about relationships between place characteristics and racial/ethnic inequities in health has largely ignored conceptual advances about race and place within the discipline of geography. Research has also almost exclusively quantified these relationships using effect estimates (e.g., odds ratios), statistics that fail to adequately capture the full impact of place characteristics on inequities and thus undermine our ability to translate research into action. We draw on geography to further develop the concept of "racialized risk environments," and we argue for the routine calculation of race/ethnicity-specific population-attributable risk percentages.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.