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Socio-demographic and sexual practices associated with HIV infection in Kenyan injection and non-injection drug users

Overview of attention for article published in BMC Public Health, January 2018
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Mentioned by

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4 tweeters
wikipedia
1 Wikipedia page

Citations

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6 Dimensions

Readers on

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41 Mendeley
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Title
Socio-demographic and sexual practices associated with HIV infection in Kenyan injection and non-injection drug users
Published in
BMC Public Health, January 2018
DOI 10.1186/s12889-018-5100-y
Pubmed ID
Authors

Valentine Budambula, Charles Matoka, James Ouma, Aabid A. Ahmed, Michael F. Otieno, Tom Were

Abstract

Substance use is increasingly becoming prevalent on the African continent, fueling the spread of HIV infection. Although socio-demographic factors influence substance consumption and risk of HIV infection, the association of these factors with HIV infection is poorly understood among substance users on the African continent. The objective of the study was to assess socio-demographic and sexual practices that are associated with HIV infection among injection drug users (IDUs), non-IDUs, and non-drug users (DUs) at an urban setting of coastal Kenya. A cross-sectional descriptive study was conducted among 451 adults comprising HIV-infected and -uninfected IDUs (n = 157 and 39); non-IDUs (n = 17 and 48); and non-DUs (n = 55 and 135); respectively at coastal, Kenya. Respondent driven sampling, snowball and makeshift methods were used to enroll IDUs and non-IDUs. Convenience and purposive sampling were used to enroll non-DUs from the hospital's voluntary HIV testing unit. Participant assisted questionnaire was used in collecting socio-demographic data and sexual practices. Binary logistic regression analysis indicated that higher likelihood of HIV infection was associated with sex for police protection (OR, 9.526; 95% CI, 1.156-78.528; P = 0.036) and history of sexually transmitted infection (OR, 5.117; 95% CI, 1.924-13.485; P = 0.001) in IDUs; divorced, separated or widowed marital status (OR, 6.315; 95% CI, 1.334-29.898; P = 0.020) in non-IDUs; and unemployment (OR, 2.724; 95% CI, 1.049-7.070; P = 0.040) in non-drug users. However, never married (single) marital status (OR, 0.140; 95% CI, 0.030-0.649; P = 0.012) was associated with lower odds for HIV infection in non-drug users. Altogether, these results suggest that socio-demographic and sexual risk factors for HIV transmission differ with drug use status, suggesting targeted preventive measures for drug users.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 24%
Researcher 6 15%
Student > Ph. D. Student 6 15%
Student > Doctoral Student 3 7%
Student > Bachelor 3 7%
Other 4 10%
Unknown 9 22%
Readers by discipline Count As %
Nursing and Health Professions 8 20%
Medicine and Dentistry 6 15%
Immunology and Microbiology 3 7%
Social Sciences 3 7%
Computer Science 2 5%
Other 5 12%
Unknown 14 34%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 23 November 2018.
All research outputs
#3,576,620
of 13,906,652 outputs
Outputs from BMC Public Health
#3,931
of 9,562 outputs
Outputs of similar age
#108,531
of 360,502 outputs
Outputs of similar age from BMC Public Health
#1
of 5 outputs
Altmetric has tracked 13,906,652 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 9,562 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has gotten more attention than average, scoring higher than 58% of its peers.
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 360,502 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 69% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them