Evidence map›Paper›PMID 36371749›Full record

ArticleAIDS and behavior2023

Does the Relationship Between HIV Stigma Subtypes and Viral Suppression Differ by Age?: A Stratified Analysis of Data from the Florida Medical Monitoring Project.

Renessa S Williams, Zhi Zhou, Christa Cook, Robert Lucero, Emma C Spencer, Robert L Cook

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Article in AIDS and behavior, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Renessa S WilliamsSchool of Nursing and Health Studies, University of Miami, 5030 Brunson Dr, Coral Gables, FL, 33146, USA. rsw95@miami.edu.ORCID http://orcid.org/0000-0003-4814-1534
Zhi ZhouDepartment of Epidemiology, College of Public Health and Health Professions & College of Medicine, University of Florida, 2055 Mowry Rd, Gainesville, FL, USA.
Christa CookDepartment of Nursing Systems, College of Nursing, University of Central Florida, 12201 Research Pkwy Suite 300, Orlando, FL, USA.
Robert LuceroSchool of Nursing, University of California, Los Angeles, 700 Tiverton Dr, Los Angeles, CA, USA.
Emma C SpencerBureau of Communicable Disease, Florida Department of Health, 4052 Bald Cypress Way, Tallahassee, FL, USA.
Robert L CookDepartment of Epidemiology, College of Public Health and Health Professions & College of Medicine, University of Florida, 2055 Mowry Rd, Gainesville, FL, USA.

Funding

Florida Department of Health AWD04074
6 · The paper itself

Abstract

HIV-related stigma is recognized as a top barrier to achieve viral suppression in the United States, but data describing who is most affected by HIV stigma is limited. The study sought to (1) identify the relationships between HIV-related stigma and unsuppressed viral load and (2) examine whether the association between HIV stigma subtypes and unsuppressed viral load differ by age group (i.e., 18-34, 35-49, and 50+ years-old) using surveillance data from the Florida Medical Monitoring Project (n = 1195). Most participants were 50+ years-old (55%), male (71%), and Black (51%). Enacted stigma was significantly associated with unsuppressed viral loads among the 18-34-year-old age group (OR 1.68, CI 1.09-2.60). After adjusting for potential confounders, only enacted stigma was independently associated with unsuppressed viral load in the 18-34-year-old age group. Results highlight the need for targeted interventions to reduce enacted stigma among younger persons with HIV to achieve viral suppression.

Indexed as

HIV InfectionsAdolescentAdultFloridaHumansMaleMiddle AgedSocial StigmaUnited StatesViral LoadYoung AdultAgeHIV-related stigmaMedical Monitoring ProjectViral suppression

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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.