Evidence map›Paper›PMID 27524898›Full record

ArticleNeuropsychiatric disease and treatment2016

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

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

Abstract read
In one paragraph

Article in Neuropsychiatric disease and treatment, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Health-risk behaviors among Iranian university students, 2019: a web-based survey.Archives of public health = Archives belges de sante publique · 2020
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  5. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Saeid SafiriDepartment of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran; Department of Public Health, School of Nursing and Midwifery, Maragheh University of Medical Sciences, Maragheh.
Afarin Rahimi-MovagharIranian National Center for Addiction Studies (INCAS), Iranian Institute for Reduction of High-Risk Behaviors, Tehran University of Medical Sciences, Tehran.
Masud YunesianDepartment of Environmental Health Engineering, School of Public Health; Department of Research Methodology and Data Analysis, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran.
Homayoun Sadeghi-BazarganiRoad Traffic Injury Research Center, Department of Statistics & Epidemiology, Tabriz University of Medical Sciences, Tabriz, Iran.
Mansour ShamsipourDepartment of Research Methodology and Data Analysis, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran.
Mohammad Ali MansourniaDepartment of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran.
Akbar FotouhiDepartment of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRisky 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. PARTICIPANTS AND

methodsThis 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.

resultsThe 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.

conclusionSubgrouping 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.

Indexed as

alcohol drinkingdrug abuselatent class analysisrisk behaviorssexual behaviorsubstance abuse

Identifiers

PMID27524898
PMCPMC4966499

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.