↓ Skip to main content

Longitudinal Predictors of Behavioral Intentions and HIV Service Use Among Men Who Have Sex with Men

Overview of attention for article published in Prevention Science, July 2017
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
44 Mendeley
Title
Longitudinal Predictors of Behavioral Intentions and HIV Service Use Among Men Who Have Sex with Men
Published in
Prevention Science, July 2017
DOI 10.1007/s11121-017-0824-y
Pubmed ID
Authors

Larissa A. McGarrity, David M. Huebner, Carol J. Nemeroff, Rae Jean Proeschold-Bell

Abstract

HIV prevention interventions are generally effective at reducing sexual risk. Although these interventions have been widely disseminated in the USA, their success depends largely on whether subpopulations who have been prioritized for risk reduction are willing to participate. Understanding the factors predicting service utilization is critical to maximizing public health benefit. HIV-negative men who have sex with men (MSM) (n = 613) were enrolled in a longitudinal study investigating whether theoretically derived psychosocial variables (past behavior, cues to action, perceived susceptibility, positive expectations, perceived barriers, personal discomfort, and recent condomless anal intercourse) predicted intentions to use HIV prevention services and service use behavior across multiple categories (information seeking, structured service use, HIV testing, and volunteering/working in prevention services). Cues to action (including life events such as friend's recent HIV diagnosis) and past service use emerged as the most consistent predictors of intentions and actual service use. Perceived susceptibility, positive expectations, and condomless anal intercourse predicted some categories of service use indirectly through intentions. Contrary to predictions, perceived barriers and personal discomfort predicted intentions but were not predictors of service use. Intentions generally predicted behavior, with the exception of structured service use. This study addressed methodological limitations of prior research and utilized data from a longitudinal sample of MSM to discover predictors of access to HIV prevention services. Understanding who accesses HIV services and why will allow for directed strategies to improve dissemination and utilization.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 20%
Researcher 7 16%
Other 3 7%
Student > Bachelor 3 7%
Student > Ph. D. Student 2 5%
Other 5 11%
Unknown 15 34%
Readers by discipline Count As %
Nursing and Health Professions 7 16%
Medicine and Dentistry 6 14%
Psychology 6 14%
Agricultural and Biological Sciences 2 5%
Business, Management and Accounting 2 5%
Other 4 9%
Unknown 17 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 13 October 2017.
All research outputs
#20,444,703
of 22,999,744 outputs
Outputs from Prevention Science
#988
of 1,036 outputs
Outputs of similar age
#274,694
of 314,946 outputs
Outputs of similar age from Prevention Science
#27
of 27 outputs
Altmetric has tracked 22,999,744 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,036 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 1st percentile – i.e., 1% 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 314,946 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.