Evidence map›Paper›PMID 31679893›Full record

ArticleAnnals of epidemiology2019

Examining neighborhood poverty-based disparities in HIV/STI prevalence: an analysis of Add Health data.

Andrew R Zullo, Joëlla W Adams, Jason R Gantenberg, Brandon D L Marshall, Chanelle J Howe

Open access · greenAbstract read
In one paragraph

Article in Annals of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Andrew R ZulloDepartments of Health Services, Policy, and Practice and Epidemiology, Brown University School of Public Health, Centers for Evidence Synthesis and Gerontology and Healthcare Research, Providence, RI; Providence Veterans Affairs Medical Center, Center of Innovation in Long-Term Services and Supports, Providence, RI. Electronic address: andrew_zullo@brown.edu.
Joëlla W AdamsDepartment of Epidemiology, Brown University School of Public Health, Centers for Epidemiology and Environmental Health, Providence, RI.
Jason R GantenbergDepartment of Epidemiology, Brown University School of Public Health, Centers for Epidemiology and Environmental Health, Providence, RI.
Brandon D L MarshallDepartment of Epidemiology, Brown University School of Public Health, Centers for Epidemiology and Environmental Health, Providence, RI.
Chanelle J HoweDepartment of Epidemiology, Brown University School of Public Health, Centers for Epidemiology and Environmental Health, Providence, RI.
Brown University · USProvidence VA Medical Center · US

Funding

Wave IV Data CollectionP01HD031921 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HARRIS, KATHLEEN MULLAN · 1994 to 2020
$86.1M
Training in Child/Adolescent Biobehavioral HIV ResearchT32MH078788 · NIMH · RHODE ISLAND HOSPITAL · PI LARRY K BROWN · 2007 to 2026
$6.2M
Develop Patient Centered Outcomes Scholars for Comparative Effectiveness ResearchK12HS022998 · AHRQ · BROWN UNIVERSITY · PI TRIKALINOS, THOMAS · 2014 to 2018
$3.4M
Highly Adaptive Epidemic Control Strategies for HIV Prevention in Drug UsersDP2DA040236 · NIDA · BROWN UNIVERSITY · PI MARSHALL, BRANDON DAVID LEWIS · 2015 to 2015
$2.4M
AHRQ HHS K12 HS022998NICHD NIH HHS P01 HD031921NIDA NIH HHS DP2 DA040236NIMH NIH HHS T32 MH078788
6 · The paper itself

Abstract

purposeThe purpose of the study was to estimate the effect of exposure to neighborhood poverty in adolescence on HIV/STI prevalence in early adulthood.

methodsLongitudinal data from three waves of the National Longitudinal Study of Adolescent to Adult Health were analyzed. The primary exposure was living in a high- versus medium/low-poverty neighborhood during wave I. The outcome was having a sexually transmitted infection (STI) or receiving a HIV/STI diagnosis in the past 12 months at wave III. Covariates included sociodemographic, behavioral, and mental health-related factors. Inverse probability weighted marginal structural models were used to estimate neighborhood poverty-based differences in HIV/STI prevalence.

resultsThe analytic sample comprised 8232 National Longitudinal Study of Adolescent to Adult Health participants. Of these, 16% and 84% resided in high- and medium/low-poverty neighborhoods, respectively. Eleven percent currently had an STI or HIV/STI diagnosis within the prior 12 months. Accounting for measured potential sources of confounding and selection bias, the HIV/STI prevalence difference (95% confidence limits) for those who grew up in high- versus medium/low-poverty neighborhoods was 0.015 (-0.015, 0.045).

conclusionsStrong evidence for neighborhood poverty-based differences in HIV/STI prevalence was not observed. Researchers should continue to investigate the effect of neighborhood-level socioeconomic position measures and, if warranted, identify etiologically relevant exposure periods.

Indexed as

Health Status DisparitiesResidence CharacteristicsSocial Determinants of HealthAdolescentAdultFemaleHIV InfectionsHumansLongitudinal StudiesMalePovertyPoverty AreasPrevalenceSocioeconomic FactorsUnited StatesHIVInfectious diseasePovertyResidence characteristicsSexually transmitted diseases

Identifiers

PMID31679893
PMCPMC6902432
OpenAlexW2979726728

What OpenQuestion holds

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Registered trials

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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.