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Socio-economic determinants of disease progression among HIV infected adults in Kenya

Overview of attention for article published in BMC Public Health, July 2015
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  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
Socio-economic determinants of disease progression among HIV infected adults in Kenya
Published in
BMC Public Health, July 2015
DOI 10.1186/s12889-015-2084-8
Pubmed ID
Authors

Nyawira T. Gitahi–Kamau, James N. Kiarie, Kenneth K. Mutai, Beatrice W. Gatumia, P. M. Gatongi, A. Lakati

Abstract

Socioeconomic determinants have been shown to have an effect on the progression of HIV disease evidenced by studies carried out largely in developed countries. Knowledge of these factors could inform on prioritization of populations during scale up of highly active antiretroviral therapy (HAART) constrained health systems. The objective of this study was to identify socioeconomic correlates of HIV disease progression in an adult Kenyan population. We analysed data from 312 HIV positive individuals, drawn from a cohort enrolled in a randomized clinical trial investigating the effectiveness of Acyclovir in the prevention of HIV transmission among serodiscordant couples. In this study we included individuals with CD4 counts ≥ 350 cells/mm(3) and World Health Organization (WHO), clinical stage one or two. The exposure variables measured were: - daily household income available for expenditure, age, gender, housing type and level of formal education. We used a composite outcome of disease progression to WHO clinical stage 3 or 4 or a laboratory outcome of CD4 count below 350 cells/mm(3) after two years of follow-up. Logistic regression was used to determine associations of variables that were found to be significant at univariate analysis, and to control for potential confounders. Seventy eight (25 %) individuals reported HIV disease progression. Majority (79.9 %) were female. The median age was 30 year and 93.6 % had attained a primary level of education. Median CD4 at enrolment into the clinical trial was 564 cells/mm(3); those who had disease progression were enrolled with a significantly (p < 0.001) lower CD4 count. Daily household income available for expenditure adjusted for CD4 count at enrolment was associated significantly (p = 0.04) with HIV disease progression. Disease progression was five times more likely to occur in study subjects with daily income available for expenditure of less than US$1 compared to those with more than US$ 5 available for daily expenditure [adjusted Odds Ratio 4.6 (95 % Confidence Interval 1.4-14.4)]. Disease progression was not associated with age, gender, type of housing or level of education attained (p < 0.05). Populations with low household incomes should be considered vulnerable to disease progression and should therefore be prioritized during the scale up of HAART for treatment as prevention.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Rwanda 1 2%
Unknown 52 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 22%
Researcher 8 15%
Student > Bachelor 8 15%
Student > Ph. D. Student 5 9%
Lecturer 4 7%
Other 7 13%
Unknown 10 19%
Readers by discipline Count As %
Medicine and Dentistry 18 33%
Nursing and Health Professions 13 24%
Social Sciences 3 6%
Biochemistry, Genetics and Molecular Biology 2 4%
Immunology and Microbiology 2 4%
Other 5 9%
Unknown 11 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 August 2015.
All research outputs
#14,601,638
of 25,473,687 outputs
Outputs from BMC Public Health
#10,699
of 17,615 outputs
Outputs of similar age
#125,296
of 275,345 outputs
Outputs of similar age from BMC Public Health
#179
of 296 outputs
Altmetric has tracked 25,473,687 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 17,615 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 275,345 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 296 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.