Evidence map›Paper›PMID 25885455›Full record

ArticleBMC public health2015

Cardiometabolic disease risk and HIV status in rural South Africa: establishing a baseline.

Samuel J Clark, F Xavier Gómez-Olivé, Brian Houle, Margaret Thorogood, Kerstin Klipstein-Grobusch, Nicole Angotti, Chodziwadziwa Kabudula, Jill Williams, Jane Menken, Stephen Tollman

Abstract read
In one paragraph

Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 1 pooled it
–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

53 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

10 authors.

Samuel J ClarkMRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa. work@samclark.net.
F Xavier Gómez-OlivéMRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa. F.Gomez-OliveCasas@wits.ac.za.
Brian HouleMRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa. brian.houle@anu.edu.au.
Margaret ThorogoodMRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa. m.thorogood@warwick.ac.uk.
Kerstin Klipstein-GrobuschSchool of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa. K.Klipstein-Grobusch@umcutrecht.nl.
Nicole AngottiMRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa. angotti@american.edu.
Chodziwadziwa KabudulaMRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa. Chodziwadziwa.Kabudula@wits.ac.za.
Jill WilliamsInstitute of Behavioral Science, University of Colorado Boulder, Boulder, USA. jill.williams@colorado.edu.
Jane MenkenInstitute of Behavioral Science, University of Colorado Boulder, Boulder, USA. jane.menken@colorado.edu.
Stephen TollmanMRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa. Stephen.Tollman@wits.ac.za.

Funding

Methods and Data CoreR24HD042828 · NICHD · UNIVERSITY OF WASHINGTON · PI TOLNAY, STEWART E · 2002 to 2016
$9.3M
Sexually Transmitted Infection Epidemics: Bayesian Prevalence & Size EstimateR01HD054511 · NICHD · UNIVERSITY OF WASHINGTON · PI RAFTERY, ADRIAN E · 2007 to 2016
$3.2M
Partnership for Social Science AIDS Research in South African's Era of ART RollouR24AG032112 · NIA · UNIVERSITY OF COLORADO · PI MENKEN, JANE A · 2007 to 2011
$1.6M
Predicting Impacts of Infectious Disease on Structure and Dynamics of PopulationsK01HD057246 · NICHD · UNIVERSITY OF WASHINGTON · PI CLARK, SAMUEL J · 2008 to 2012
$620k
NIA NIH HHS R24 AG032112NIA NIH HHS R24AG032112NICHD NIH HHS K01 HD057246NICHD NIH HHS R01 HD054511NICHD NIH HHS R24 HD042828Wellcome TrustWellcome Trust 058893/Z/99/AWellcome Trust 069683/Z/02/ZWellcome Trust 085477/Z/08/Z
6 · The paper itself

Abstract

backgroundTo inform health care and training, resource and research priorities, it is essential to establish how non-communicable disease risk factors vary by HIV-status in high HIV burden areas; and whether long-term anti-retroviral therapy (ART) plays a modifying role.

methodsAs part of a cohort initiation, we conducted a baseline HIV/cardiometabolic risk factor survey in 2010-2011 using an age-sex stratified random sample of ages 15+ in rural South Africa. We modelled cardiometabolic risk factors and their associations by HIV-status and self-reported ART status for ages 18+ using sex-stratified logistic regression models.

resultsAge-standardised HIV prevalence in women was 26% (95% CI 24-28%) and 19% (95% CI 17-21) in men. People with untreated HIV were less likely to have a high waist circumference in both women (OR 0.67; 95% CI 0.52-0.86) and men (OR 0.42; 95% CI 0.22-0.82). Untreated women were more likely to have low HDL and LDL, and treated women high triglycerides. Cardiometabolic risk factors increased with age except low HDL. The prevalence of hypertension was high (40% in women; 30% in men).

conclusionsSub-Saharan Africa is facing intersecting epidemics of HIV and hypertension. In this setting, around half the adult population require long-term care for at least one of HIV, hypertension or diabetes. Together with the adverse effects that HIV and its treatment have on lipids, this may have serious implications for the South African health care system. Monitoring of the interaction of HIV, ART use, and cardiometabolic disease is needed at both individual and population levels.

Indexed as

Health StatusRural PopulationAdolescentAdultCross-Sectional StudiesFemaleHIV SeropositivityHumansLogistic ModelsMaleMetabolic SyndromeMiddle AgedOdds RatioPrevalenceRisk FactorsSelf Report

Identifiers

PMID25885455
PMCPMC4335669

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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.