Evidence map›Paper›PMID 24618892›Full record

ArticlePloS one2014

Community-level income inequality and HIV prevalence among persons who inject drugs in Thai Nguyen, Vietnam.

Travis W Lim, Constantine Frangakis, Carl Latkin, Tran Viet Ha, Nguyen Le Minh, Carla Zelaya, Vu Minh Quan, Vivian F Go

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 19 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

8 authors at 2 institutions in 2 countries.

Travis W LimJohns Hopkins Bloomberg School of Public Health, Department of International Health, Baltimore, Maryland, United States.
Constantine FrangakisJohns Hopkins Bloomberg School of Public Health, Department of Biostatistics, Baltimore, Maryland, United States.
Carl LatkinJohns Hopkins Bloomberg School of Public Health, Department of Health, Behavior and Society, Baltimore, Maryland, United States.
Tran Viet HaJohns Hopkins Bloomberg School of Public Health, Department of Epidemiology, Baltimore, Maryland, United States.
Nguyen Le MinhThai Nguyen Center for Preventive Medicine, Thai Nguyen, Vietnam.
Carla ZelayaJohns Hopkins Bloomberg School of Public Health, Department of Epidemiology, Baltimore, Maryland, United States.
Vu Minh QuanJohns Hopkins Bloomberg School of Public Health, Department of Epidemiology, Baltimore, Maryland, United States.
Vivian F GoJohns Hopkins Bloomberg School of Public Health, Department of Epidemiology, Baltimore, Maryland, United States.
Johns Hopkins University · USThai Nguyen University · VN

Funding

Prevention for Positives: A Randomized Controlled Trial Among Vietnamese HIV-PosiR01DA022962 · NIDA · JOHNS HOPKINS UNIVERSITY · PI GO, VIVIAN F. · 2007 to 2011
$3.1M
Statistical Designs and Methods for Double-Sampling for HIV/AIDSR01AI102710 · NIAID · JOHNS HOPKINS UNIVERSITY · PI FRANGAKIS, CONSTANTINE E · 2013 to 2016
$1.6M
NIAID NIH HHS R01 AI102710NIDA NIH HHS 5R01DA022962-05NIDA NIH HHS R01 DA022962
6 · The paper itself

Abstract

Socioeconomic status has a robust positive relationship with several health outcomes at the individual and population levels, but in the case of HIV prevalence, income inequality may be a better predictor than absolute level of income. Most studies showing a relationship between income inequality and HIV have used entire countries as the unit of analysis. In this study, we examine the association between income inequality at the community level and HIV prevalence in a sample of persons who inject drugs (PWID) in a concentrated epidemic setting. We recruited PWID and non-PWID community participants in Thai Nguyen, Vietnam, and administered a cross-sectional questionnaire; PWID were tested for HIV. We used ecologic regression to model HIV burden in our PWID study population on GINI indices of inequality calculated from total reported incomes of non-PWID community members in each commune. We also modeled HIV burden on interaction terms between GINI index and median commune income, and finally used a multi-level model to control for community level inequality and individual level income. HIV burden among PWID was significantly correlated with the commune GINI coefficient (r = 0.53, p = 0.002). HIV burden was also associated with GINI coefficient (β = 0.082, p = 0.008) and with median commune income (β = -0.018, p = 0.023) in ecological regression. In the multi-level model, higher GINI coefficient at the community level was associated with higher odds of individual HIV infection in PWID (OR = 1.46 per 0.01, p = 0.003) while higher personal income was associated with reduced odds of infection (OR = 0.98 per $10, p = 0.022). This study demonstrates a context where income inequality is associated with HIV prevalence at the community level in a concentrated epidemic. It further suggests that community level socioeconomic factors, both contextual and compositional, could be indirect determinants of HIV infection in PWID.

Indexed as

Drug UsersAdolescentAdultCross-Sectional StudiesHIV InfectionsHumansIncomeMaleMiddle AgedPrevalenceResidence CharacteristicsRural PopulationSocioeconomic FactorsUrban PopulationVietnamYoung Adult

Identifiers

PMID24618892
PMCPMC3949692
OpenAlexW2068808692

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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.