Article in Journal of agromedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 21% of its field
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
1 citing paper in PubMed, 2 citations in OpenAlex.
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
5 authors at 2 institutions in 1 country.
Ariana L JohnsonDepartment of Public Health Sciences, University of Miami, Miami, Florida, USA.ORCID 0000-0002-5257-7114
Kyle J SelfSchool of Education and Human Development- Educational and Psychological Studies, University of Miami, Miami, Florida, USA.
Cho-Hee ShraderMailman School of Public Health, ICAP at Columbia University, Columbia University, New York, New York, USA.
Edda RodriguezDepartment of Public Health Sciences, University of Miami, Miami, Florida, USA.
Mariano KanamoriDepartment of Public Health Sciences, University of Miami, Miami, Florida, USA.ORCID 0000-0003-2260-3307
University of Miami · USICAP Global Health
Funding
Social Determinants Predicting Trajectories of HIV with Recent Latina ImmigrantsP20MD002288 · NIMHD · FLORIDA INTERNATIONAL UNIVERSITY · PI DE LA ROSA, MARIO R · 2007 to 2016
$13.5M
The University of Miami AIDS Research Center on Mental Health and HIV/AIDS - Center for HIV & Research in Mental Health (CHARM)Research Core & MHD-CEP30MH133399 · NIMH · UNIVERSITY OF MIAMI CORAL GABLES · PI Victoria Behar-Zusman · 2023 to 2026
$8.9M
Hispanic Men Building Respect Education and Safety/ Hombres Manteniendo Respeto, Educacion y Seguridad (HOMBRES DE FAMILIA)U54MD002266 · NIMHD · UNIVERSITY OF MIAMI CORAL GABLES · PI BEHAR-ZUSMAN, VICTORIA, DE LA ROSA, MARIO R · 2017 to 2022
$8.3M
University of Miami Developmental HIV/AIDS Mental Health Research Center (D-ARC)P30MH116867 · NIMH · UNIVERSITY OF MIAMI CORAL GABLES · PI SAFREN, STEVEN A · 2019 to 2023
$6.5M
LatiNET, a Multilevel Social Network Model to Examine and Address SARS-CoV-2 Misinformation in Low-Income Latinx Communities.R01MD018343 · NIMHD · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI KANAMORI NISHIMURA, MARIANO JUAN · 2022 to 2024
$2.3M
PrEParados: A Multi-Level Social Network Model to Increase PrEP Enrollment by Latino MSM Self-Identified as Gay, Bisexual or Straight in MiamiR01MH125727 · NIMH · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI KANAMORI NISHIMURA, MARIANO JUAN · 2021 to 2023
$1.8M
Multilevel approaches for embracing dyadic, egocentric and two-mode networks which address substance use disorders and HIV risk in Latina seasonal workersR00DA041494 · NIDA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI KANAMORI NISHIMURA, MARIANO JUAN · 2018 to 2020
$747k
Multilevel approaches for embracing dyadic, egocentric and two-mode networks which address substance use disorders and HIV risk in Latina seasonal workersK99DA041494 · NIDA · FLORIDA INTERNATIONAL UNIVERSITY · PI KANAMORI NISHIMURA, MARIANO JUAN · 2016 to 2017
$366k
Latinx MSM PrEP Disparities due to Immigration Stress and Drug Use NetworksF31MD015988 · NIMHD · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI SHRADER, CHO-HEE · 2020 to 2020
backgroundLittle is known about polydrug use among Latino seasonal farmworkers. This cross-sectional study with male Latino seasonal workers (LSWs) living in South Florida categorized distinct classes of drug use and then characterized each drug use typology by demographic, structural, and psychological factors.
methodsOne hundred and twenty-five male LSWs were recruited during community events using convenience sampling between July 2019-March 2020. Latent class analysis was conducted by leveraging measures of self-reported use of nine drugs in the past year (sedatives, cannabis, stimulants, heroin, opioids, cocaine, PCP, hallucinogens, and inhalants). Correlates of latent class membership were examined using 3-step categorical latent variable logistic regression. Analyses were performed using Mplus version 8 and SAS 9.4.
resultsFour drug use classes were identified, male LSWs who exhibited: 1) use of illegal opioids only (
conclusionsThis pilot study suggests the presence of heterogeneity in polydrug use classes among LSWs in South Florida.
Indexed as
Substance-Related DisordersCross-Sectional StudiesFloridaHispanic or LatinoHumansLatent Class AnalysisMalePilot ProjectsSeasonsTransients and MigrantsHIVlatent class analysissubstance use
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.
Patterns of Polydrug Use Classes Among a Subset of Latino Male Seasonal Workers in South Florida: A Latent Class Analysis. · full record | OpenQuestion