Evidence map›Paper›PMID 30417749›Full record

ArticleInternational journal of STD & AIDS2019

Relationship between socioeconomic status and risk of sexually transmitted infections in Uganda: Multilevel analysis of a nationally representative survey.

Godwin Anguzu, Andrew Flynn, Joseph Musaazi, Ronnie Kasirye, Leonard K Atuhaire, Agnes N Kiragga, Allen Kabagenyi, Andrew Mujugira

Abstract read
In one paragraph

Article in International journal of STD & AIDS, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

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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.

Godwin Anguzu1 Infectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, Uganda.ORCID 0000-0002-7311-2084
Andrew Flynn1 Infectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, Uganda.
Joseph Musaazi1 Infectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, Uganda.
Ronnie Kasirye1 Infectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, Uganda.
Leonard K Atuhaire2 School of Statistics and Planning, College of Business and Management Sciences, Makerere University, Kampala, Uganda.
Agnes N Kiragga1 Infectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, Uganda.
Allen Kabagenyi2 School of Statistics and Planning, College of Business and Management Sciences, Makerere University, Kampala, Uganda.
Andrew Mujugira1 Infectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, Uganda.

Funding

University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI MARI M KITAHATA · 1988 to 2026
$104.9M
HIV Co-infections in Uganda: TB, Cryptococcus, and Viral Hepatitis.D43TW009771 · FIC · JOHNS HOPKINS UNIVERSITY · PI CASTELNUOVO, BARBARA, KAMBUGU, ANDREW DDUNGU · 2014 to 2023
$3.3M
HIV Self Testing to Empower Prevention Choices in Sex WorkersK43TW010695 · FIC · INFECTIOUS DISEASES INSTITUTE · PI MUJUGIRA, ANDREW · 2017 to 2021
$530k
FIC NIH HHS D43 TW009771FIC NIH HHS K43 TW010695NIAID NIH HHS P30 AI027757
6 · The paper itself

Abstract

Socioeconomic status (SES) appears to have positive and negative associations with sexually transmitted infection (STI) risk in resource-limited settings, but few studies have evaluated nationally representative data. We assessed multiple SES measures and their effect on STI risk. We conducted a secondary analysis of data from the Uganda Demographic and Health Survey (UDHS 2011). The primary outcome (STI risk) was self-reported STIs and/or symptoms in the prior 12 months. We examined associations between multiple SES measures and STI risk using a mixed-effects Poisson regression model. The results showed that of the 9256 sexually active individuals, 7428 women and 1828 men were included in the analysis. At an individual level, middle wealth quintile and disposable income were associated with STI risk, whereas being in the richest wealth quintile was protective. Residence in wealthier regions (adjusted incidence rate ratio [aIRR] 3.92, 3.62, and 2.75, for Central, Western, and Eastern regions; p < 0.01) was associated with increased STI risk. Regional level analysis revealed stochastic variability of STI risk across geographical region (variance 0.03; p = 0.01). The bilateral association between SES and STI risk underscores the need for multi-sectoral interventions to address the upstream effects of poverty on STI risk and downstream effects of STIs on health and economic productivity.

Indexed as

Social ClassAdolescentAdultCross-Sectional StudiesFemaleHealth SurveysHumansMaleMiddle AgedMultilevel AnalysisPopulation SurveillancePovertyPrevalenceSexually Transmitted DiseasesUgandaYoung Adultmixed-effects regression modelssexually transmitted infectionssocioeconomic statusUganda Demographic and Health Survey

Identifiers

PMID30417749
PMCPMC6592843

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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.