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Predicting condom use in adolescents: a test of three socio-cognitive models using a structural equation modeling approach

Overview of attention for article published in BMC Public Health, January 2016
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  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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Title
Predicting condom use in adolescents: a test of three socio-cognitive models using a structural equation modeling approach
Published in
BMC Public Health, January 2016
DOI 10.1186/s12889-016-2702-0
Pubmed ID
Authors

José P. Espada, Alexandra Morales, Alejandro Guillén-Riquelme, Rafael Ballester, Mireia Orgilés

Abstract

The theory of planned behavior (TPB), socio-cognitive model (SCM), and information-motivation-behavioral skills (IMB) model are effective in predicting condom use. However, the adequacy of these three theoretical models in predicting the frequency of condom use (FCU) among young people has not been compared. This cross-sectional study tested the applicability and suitability of these three models in predicting the FCU, and analyzed the relationships among the postulated constructs. Sexually experienced adolescents (n = 410) aged 13-18 completed a survey assessing the TPB, SCM, and IMB model constructs. Participants were students recruited from 18 high schools, randomly selected from the north, south, east, and southeast of Spain. A structural equation modelling (SEM) analysis was applied to test TPB, SCM and IBM and constructs relationships of each model using R. The results of SEM demonstrated that behavioral skills predict behavior via motivation as hypothesized by the IMB model, but not directly via knowledge about condom use and sexually transmitted infections (STIs). Cognitive factors, such knowledge about condom use and STIs as well as condom use self-efficacy, directly predicted the FCU when modeled as per the SCM. According to the TPB, condom use intention was the best predictor of the FCU, and condom use intention was predicted by attitudes toward condom use and subjective norms related to condom use, but perceived control was not directly or indirectly related to the FCU. Based on the data, the TPB becomes the best-fit model for predicting the FCU among young people compared to the SCM and IMB model. From a statistical perspective, the TPB seems to be the most suitable model for predicting the FCU among young people compared to the other models. Overall, key direct predictors of the FCU in adolescents included condom use intention, behavioral skills and cognitive factors, such as STIs knowledge and condom use self-efficacy. The next step should be to test integrative models that include personal, contextual, environmental, and social factors.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 193 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 <1%
Belgium 1 <1%
Unknown 191 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 33 17%
Student > Ph. D. Student 25 13%
Student > Bachelor 23 12%
Student > Doctoral Student 14 7%
Researcher 13 7%
Other 37 19%
Unknown 48 25%
Readers by discipline Count As %
Nursing and Health Professions 34 18%
Psychology 29 15%
Medicine and Dentistry 28 15%
Social Sciences 16 8%
Business, Management and Accounting 7 4%
Other 25 13%
Unknown 54 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 05 July 2017.
All research outputs
#7,458,794
of 24,344,498 outputs
Outputs from BMC Public Health
#7,823
of 16,069 outputs
Outputs of similar age
#115,764
of 404,834 outputs
Outputs of similar age from BMC Public Health
#111
of 250 outputs
Altmetric has tracked 24,344,498 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 16,069 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has gotten more attention than average, scoring higher than 50% 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 404,834 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 71% of its contemporaries.
We're also able to compare this research output to 250 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 55% of its contemporaries.