Evidence map›Paper›PMID 38846258›Full record

ArticleEthnicity & disease2023

Prevalence and Correlates of HIV-Associated Health Behaviors in a Population-Based Sample of Puerto Rican Adults, 2019.

German Rivera-Castellar, Brandi E Moore, Farzana Kapadia

Abstract read
In one paragraph

Article in Ethnicity & disease, 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
–field-weighted citation impact
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

3 authors.

German Rivera-CastellarDepartment of Epidemiology, School of Global Public Health, New York University, New York, NY.
Brandi E MooreDepartment of Epidemiology, School of Global Public Health, New York University, New York, NY.
Farzana KapadiaDepartment of Epidemiology, School of Global Public Health, New York University, New York, NY.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: High incidence and prevalence of HIV persist in Puerto Rico. To inform HIV prevention efforts, this study examines factors linked to HIV-associated behaviors in the territory. Methods: Using data from the 2019 Behavioral Risk Factor Surveillance System, multivariable logistic regression models were constructed to explore factors related to HIV-associated behaviors. Results: Among Puerto Rican residents (n=4446), 5.6% reported engaging in ≥1 HIV-associated behavior (past 12 months), and 39.2% had never been tested for HIV. Reporting HIV-associated behaviors was associated with male sex (adjusted odds ratio [aOR], 1.74; 95% confidence interval [CI], 1.30-2.33), higher household income (aOR, 1.71; 95% CI, 1.14-2.58), heavy alcohol use (aOR, 2.67; 95% CI, 1.68-4.25), and ever receiving an HIV test (aOR, 2.00; 95% CI, 1.40-2.86) in a multivariable model. Conversely, being married (aOR, 0.51; 95% CI, 0.35-0.72), having a recent routine checkup (aOR, 0.48; 95% CI, 0.32-0.72), and reporting 0 days of poor mental health (aOR, 0.61; 95% CI, 0.45-0.81) were associated with decreased odds of engaging in HIV-associated behaviors. Conclusions: Future surveys should incorporate measures of social and structural determinants that would provide greater context for understanding behavioral factors associated with HIV vulnerability as well as for developing appropriate HIV interventions in Puerto Rico.

Indexed as

Behavioral Risk Factor Surveillance SystemHIV InfectionsAdolescentAdultFemaleHealth BehaviorHumansMaleMiddle AgedPrevalencePuerto RicoRisk FactorsSexual BehaviorYoung AdultBehaviorBRFSSHispanicHIVLatinxPopulation-Based Study

Identifiers

PMID38846258
PMCPMC11152152

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.