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Alcohol abuse and other factors associated with risky sexual behaviors among adolescent students from the poorest areas in Costa Rica

Overview of attention for article published in International Journal of Public Health, August 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Average Attention Score compared to outputs of the same age and source

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2 policy sources
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Title
Alcohol abuse and other factors associated with risky sexual behaviors among adolescent students from the poorest areas in Costa Rica
Published in
International Journal of Public Health, August 2016
DOI 10.1007/s00038-016-0859-z
Pubmed ID
Authors

Diego Rios-Zertuche, Jose Cuchilla, Paola Zúñiga-Brenes, Bernardo Hernández, Patricia Jara, Ali H. Mokdad, Emma Iriarte

Abstract

We applied the Integrative Model of Behavioral Prediction to analyze factors associated with risky sexual behaviors for adolescent students living in the poorest segments in Costa Rica. We used data from a school-based knowledge, attitudes, and behaviors survey from the poorest districts of Costa Rica, collected for Salud Mesoamerica Initiative. We analyzed responses of 919 male and female students (12-19 years old) to determine factors associated with sexual intercourse and condom use. One of every four students reported being sexually active. Students that reported being sexually active were more likely to consume excessive alcohol (OR 3.04 [95 % CI 1.94-4.79]). While 88.0 % [95 % CI 73.5-95.1] of sexually active adolescents said they would use a condom the next time they have sex, only 53.1 % [95 % CI 39.3-66.5] reported condom use the last time. Non-condom-users felt purchasing condoms was uncomfortable (OR 0.34 [95 % CI 0.12-0.93]). Poor adolescents in Costa Rica begin sexual activities early and undertake behaviors that increase their risk for unwanted pregnancies and sexually transmitted infections. We found the urgent need to address alcohol abuse, and recognize gender differences in youth health programs.

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 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 82 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 20%
Student > Ph. D. Student 9 11%
Student > Bachelor 8 10%
Researcher 7 9%
Student > Doctoral Student 4 5%
Other 13 16%
Unknown 25 30%
Readers by discipline Count As %
Medicine and Dentistry 15 18%
Social Sciences 12 15%
Psychology 7 9%
Nursing and Health Professions 6 7%
Economics, Econometrics and Finance 2 2%
Other 10 12%
Unknown 30 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 01 October 2018.
All research outputs
#5,166,176
of 25,374,917 outputs
Outputs from International Journal of Public Health
#571
of 1,900 outputs
Outputs of similar age
#81,584
of 349,075 outputs
Outputs of similar age from International Journal of Public Health
#24
of 45 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,900 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one has gotten more attention than average, scoring higher than 69% 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 349,075 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.