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Mediators of behavior change resulting from a sexual risk reduction intervention for STI patients, Cape Town, South Africa

Overview of attention for article published in Journal of Behavioral Medicine, September 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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Citations

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119 Mendeley
Title
Mediators of behavior change resulting from a sexual risk reduction intervention for STI patients, Cape Town, South Africa
Published in
Journal of Behavioral Medicine, September 2014
DOI 10.1007/s10865-014-9591-4
Pubmed ID
Authors

Eileen V. Pitpitan, Seth C. Kalichman, Randi L. Garcia, Demetria Cain, Lisa A. Eaton, Leickness C. Simbayi

Abstract

Theory-based sexual risk reduction interventions are often demonstrated effective, but few studies have examined the mechanisms that mediate their behavior changes. In addition, critical contextual factors, such as alcohol use, are often not accounted for by social cognitive theories and may add to the explanatory value of intervention effects. The purpose of this study is to examine the underlying mechanisms driving condom use following a brief sexual risk reduction intervention grounded in the information, motivation, behavioral skills (IMB) model of behavior change. We examined IMB theoretical constructs and alcohol-related contextual factors as potential mediators in separate models. Patients (n = 617) from an STI clinic in Cape Town, South Africa were randomly assigned to either a brief risk reduction intervention or an education-only control condition. We assessed IMB, and alcohol-related variables at baseline, 3, 6, 9, and 12 months and modeled IMB constructs and alcohol-related factors as mediators of behavior change. Results of growth-curve mediational modeling showed that 1 year after counseling, the intervention indirectly affected sexual risk behavior through alcohol-related constructs, but not IMB constructs. Alcohol use and related factors play critical roles in explaining HIV and STI risk reduction intervention effects. Interventions that directly address alcohol use as a factor in sexual risk behavior and behavior change should be the focus of future research.

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X Demographics

The data shown below were collected from the profiles of 4 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 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Norway 1 <1%
Unknown 116 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 19%
Student > Master 14 12%
Student > Ph. D. Student 13 11%
Student > Bachelor 11 9%
Other 10 8%
Other 20 17%
Unknown 28 24%
Readers by discipline Count As %
Nursing and Health Professions 20 17%
Medicine and Dentistry 18 15%
Psychology 17 14%
Social Sciences 11 9%
Business, Management and Accounting 6 5%
Other 15 13%
Unknown 32 27%
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 19 April 2015.
All research outputs
#12,610,382
of 22,763,032 outputs
Outputs from Journal of Behavioral Medicine
#659
of 1,069 outputs
Outputs of similar age
#103,169
of 237,379 outputs
Outputs of similar age from Journal of Behavioral Medicine
#4
of 12 outputs
Altmetric has tracked 22,763,032 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,069 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one is in the 36th percentile – i.e., 36% 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 237,379 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 56% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.