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Subgrouping of risky behaviors among Iranian college students: a latent class analysis

Overview of attention for article published in Neuropsychiatric Disease and Treatment, July 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
8 tweeters

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
58 Mendeley
Title
Subgrouping of risky behaviors among Iranian college students: a latent class analysis
Published in
Neuropsychiatric Disease and Treatment, July 2016
DOI 10.2147/ndt.s107349
Pubmed ID
Authors

Saeid Safiri, Afarin Rahimi-Movaghar, Masud Yunesian, Homayoun Sadeghi-Bazargani, Mansour Shamsipour, Mohammad Ali Mansournia, Akbar Fotouhi

Abstract

Risky behaviors may interrupt development or cause considerable morbidity or mortality. This study's purpose was to determine subgroups of students based on risky behaviors and assess the prevalence of risky behaviors in each of the subgroups. This anonymous cross-sectional study was carried out in October 2015 and November 2015, with 1,777 students from Tabriz University of Medical Sciences, through multistage random sampling method. The data were analyzed by latent class analysis. The prevalence rates of cigarette smoking (more than or equal to ten cigarettes), hookah use (≥1 time/month), and alcohol consumption (≥1 time/month) during the last year were 12.4% (95% confidence interval [CI]: 10.9-14.0), 11.6% (95% CI: 10.0-13.1), and 4.9% (95% CI: 3.8-5.9), respectively. The prevalence rates of illicit opioids (1.8%, 95% CI: 1.2-2.5), cannabis (1.2%, 95% CI: 0.7-1.7), methamphetamine (1.1%, 95% CI: 0.6-1.6), methylphenidate (2.5%, 95% CI: 1.7-3.2), and extramarital sex (5.5%, 95% CI: 4.5-6.6) over the last year were also estimated. Three latent classes were determined: 1) low risk; 2) cigarette and hookah smoker; and 3) high risk. It is worth mentioning that 3.7% of males and 0.4% of females were in the high risk group. Subgrouping of college students showed that a considerable percentage of them, especially males, were classified into the high risk and cigarette and hookah smoker groups. Appropriate preventive measures that consider multiple different risky behaviors simultaneously are needed for this part of the population.

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 16%
Student > Master 9 16%
Student > Ph. D. Student 7 12%
Researcher 4 7%
Professor > Associate Professor 4 7%
Other 12 21%
Unknown 13 22%
Readers by discipline Count As %
Medicine and Dentistry 11 19%
Nursing and Health Professions 11 19%
Psychology 8 14%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Social Sciences 2 3%
Other 7 12%
Unknown 16 28%

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 13 September 2016.
All research outputs
#7,374,387
of 14,533,317 outputs
Outputs from Neuropsychiatric Disease and Treatment
#827
of 2,442 outputs
Outputs of similar age
#97,936
of 264,540 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#49
of 108 outputs
Altmetric has tracked 14,533,317 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,442 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has gotten more attention than average, scoring higher than 64% 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 264,540 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 62% of its contemporaries.
We're also able to compare this research output to 108 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 50% of its contemporaries.