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The prevalence and socio-economic determinants of HIV among teenagers aged 15–18 years who were participating in a mobile testing population based survey in 2013–2014 in Zambia

Overview of attention for article published in BMC Public Health, August 2016
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6 X users

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121 Mendeley
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Title
The prevalence and socio-economic determinants of HIV among teenagers aged 15–18 years who were participating in a mobile testing population based survey in 2013–2014 in Zambia
Published in
BMC Public Health, August 2016
DOI 10.1186/s12889-016-3449-3
Pubmed ID
Authors

Pascalina Chanda-Kapata, Eveline Klinkenberg, Nicole Maddox, William Ngosa, Nathan Kapata

Abstract

The objective of the study was to estimate the prevalence of HIV among teenagers in Zambia and determine whether age, sex, setting, educational level, marital and socioeconomic status were associated with being HIV positive. A cross sectional population based survey of the prevalence of HIV among teenagers aged 15-18 years old who were also participants in a national Tuberculosis (TB) prevalence survey. Consenting teenagers were counselled and tested for HIV. The HIV prevalence was estimated using a logistic regression model. Associations of social demographic characteristics with HIV were determined using univariate and multivariate. The study involved 6,395 teenagers aged 15-18 years where 2,532 declined HIV testing, 44 tested positive and 3,806 tested negative. The HIV prevalence was estimated to be 1.1 % (95 % CI 0.71-1.60); in females the HIV prevalence was 1.6 % (95 % CI 0.99-2.20) whereas in males it was 0.58 % (95 % CI 0.10-1.10). The prevalence of HIV was twice as high among the urban (1.90 %; 95 % CI 0.99-2.90) than the rural teenagers (0.89 %; 95 % CI 0.46-1.30), and being divorced or widowed was associated with higher risk of HIV regardless of residence. The risk of HIV was lower among students or those who were in school compared to those who were unemployed and not in school. HIV prevalence among teenagers was lower than the overall national level prevalence. The patterns of HIV risk among the young population will require further monitoring in order to identify appropriate tools for intervention.

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X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 <1%
Unknown 120 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 20%
Researcher 12 10%
Student > Ph. D. Student 11 9%
Student > Postgraduate 8 7%
Student > Bachelor 8 7%
Other 18 15%
Unknown 40 33%
Readers by discipline Count As %
Medicine and Dentistry 25 21%
Nursing and Health Professions 21 17%
Social Sciences 5 4%
Economics, Econometrics and Finance 4 3%
Psychology 3 2%
Other 17 14%
Unknown 46 38%
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 18 September 2016.
All research outputs
#14,254,992
of 25,371,288 outputs
Outputs from BMC Public Health
#10,297
of 17,508 outputs
Outputs of similar age
#182,250
of 356,496 outputs
Outputs of similar age from BMC Public Health
#234
of 406 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 17,508 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 41st percentile – i.e., 41% 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 356,496 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 406 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.