Evidence map›Paper›PMID 26147208›Full record

ArticlePloS one2015

Multilevel Analysis of the Predictors of HIV Prevalence among Pregnant Women Enrolled in Annual HIV Sentinel Surveillance in Four States in Southern India.

Usha Thamattoor, Tinku Thomas, Pradeep Banandur, S Rajaram, Thierry Duchesne, Belkacem Abdous, Reynold Washington, B M Ramesh, Stephen Moses, Michel Alary

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. 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
2.5field-weighted citation impact, top 7% 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, 18 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

10 authors at 5 institutions in 2 countries.

Usha ThamattoorSt John's Research Institute, Bangalore, 560034, India; CHARME II Project, Bangalore, 560044, India.
Tinku ThomasSt John's Research Institute, Bangalore, 560034, India; CHARME II Project, Bangalore, 560044, India.
Pradeep BanandurCHARME II Project, Bangalore, 560044, India; Department of Epidemiology, National Institute of Medical Sciences (NIMHANS), Bangalore, 560029, India.
S RajaramCHARME II Project, Bangalore, 560044, India; Karnataka Health Promotion Trust, Bangalore, 560044, India.
Thierry DuchesneCentre de recherche du CHU de Québec, Québec, Canada; Département de mathématiques et de statistique, Université Laval, Québec, Canada.
Belkacem AbdousCentre de recherche du CHU de Québec, Québec, Canada; Département de médecine sociale et préventive, Université Laval, Québec, Canada.
Reynold WashingtonSt John's Research Institute, Bangalore, 560034, India; Karnataka Health Promotion Trust, Bangalore, 560044, India.
B M RameshCHARME II Project, Bangalore, 560044, India; Karnataka Health Promotion Trust, Bangalore, 560044, India.
Stephen MosesDepartment of Community Health Sciences, University of Manitoba, Winnipeg, Canada.
Michel AlaryCHARME II Project, Bangalore, 560044, India; Centre de recherche du CHU de Québec, Québec, Canada; Département de médecine sociale et préventive, Université Laval, Québec, Canada.
Karnataka Health Promotion Trust · INCentre hospitalier universitaire de Québec · CANIMS University · INUniversité Laval · CAUniversity of Manitoba · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHeterogeneity of the HIV epidemic across districts of south India is reflected in HIV positivity among antenatal clinic (ANC) attendees. Along with individual factors, contextual factors also need consideration for effective HIV interventions. Thus, identifying district and individual level factors that influence ANC HIV positivity assumes importance to intervene effectively.

methodsData on HIV sentinel surveillance among the ANC population were obtained from the National AIDS Control Organization (NACO) between years 2004 and 2007. Data from serial cross-sectional studies among female sex workers (FSWs) conducted during this time period in 24 districts were used to generate district level variables corresponding to parameters concerning this high risk population. Other district level data were obtained from various official/governmental agencies. Multilevel logistic regression was used to identify individual and district level factors associated with ANC-HIV positivity.

resultsThe average ANC-HIV prevalence from 2004 to 2007 in the 24 integrated biological and behavioural assessments (IBBA) districts ranged from 0.25 to 3.25%. HIV positivity was significantly higher among ANC women with age ≥ 25 years [adjusted odds ratio (AOR):1.49; 95% confidence interval (95%CI):1.27 to 1.76] compared to those with age<25 years; illiterate (AOR:1.62; 95%CI:1.03 to 2.54) compared to literate; employed in agriculture (AOR:1.34; 95%CI:1.11 to 1.62) or with occupations like driver/helper/industry/factory workers/hotel staff (AOR:1.59; 95%CI:1.26 to 2.01) compared to unemployed. District level HIV prevalence among FSWs (AOR:1.03; 95%CI:1.0 to 1.05) and percentage women marrying under 18 years were significantly associated with ANC-HIV positivity (AOR:1.02; 95%CI:1.00 to 1.04).

conclusionIlliteracy of the woman, higher HIV prevalence among FSWs and early marriage were associated with HIV positivity among pregnant women in southern India. In addition to targeted HIV preventive interventions among FSWs, studying and changing the behavior of FSW clients and addressing structural drivers of the epidemic might indirectly help reduce HIV infection among women in southern India.

Indexed as

Sex WorkersAdultCross-Sectional StudiesEpidemicsFemaleHIV InfectionsHumansIndiaMultilevel AnalysisPregnancyPregnancy Complications, InfectiousPrevalenceSentinel SurveillanceYoung Adult

Identifiers

PMID26147208
PMCPMC4492681
OpenAlexW2116683367

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.