Evidence map›Paper›PMID 24494101›Full record

ArticleAddiction & health

Predictors of transition in different stages of smoking: a longitudinal study.

Asghar Mohammadpoorasl, Ali Fakhari, Fatemeh Rostami, Mansour Shamsipour, Hamideh Rashidian, Mohammad Ali Goreishizadeh

Abstract read
In one paragraph

Article in Addiction & health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
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

6 authors.

Asghar MohammadpooraslPhD Student, Department of Epidemiology and Biostatistics, School of Public Health and Public Health Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Ali FakhariAssociate Professor of Psychiatry, Tabriz University of Medical Sciences, Tabriz, Iran.
Fatemeh RostamiLecturer, National Public Health Management Center, Tehran, Iran.
Mansour ShamsipourMSc Student, Department of Epidemiology and Biostatistics, School of Public Health and Public Health Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Hamideh RashidianMSc Student, Department of Epidemiology and Biostatistics, School of Public Health and Public Health Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad Ali GoreishizadehProfessor of Psychiatry, Tabriz University of Medical Sciences, Tabriz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe investigated longitudinally the prevalence of smoking according to three stages of smoking (never smoking, experimenting the smoking, and regular smoking), the rates of transition from one stage to another one, and determinant predictors of transition through these stages of smoking.

methodsOf all 10(th) grade students in Tabriz, 1785 students were randomly selected and assessed twice, with a 12-month interval, with respect to the changes of stage. The predictor variables were measured when the students were in the 10(th) grade. Logistic regression and principal component analysis were used to analysis data at grade 11.

findingsOf 1785 students, 14.3% (CI 95%: 12.3-16.4) and 2.8% (CI 95%: 2.0-4.0) of the never smokers became experimenters and regular smokers, respectively and 16.5% (CI 95%: 12.4-21.7) of the experimenters became regular smokers. Among never smokers, participating in smoker groups (OR=1.24), having smoker friends (OR=1.85) and a positive attitude towards smoking (OR=1.22) predicted experimentation; and participating in smokers groups (OR=1.35) and a lower socioeconomic class (OR=0.36) predicted regular smoking. Among experimenters, students having general high risk behaviors (OR=2.56) and participating in smoker groups (OR=2.58) were distinguished as those who progressed to regular smoking in follow-up.

conclusionPrograms aimed at smoking prevention and intervention should incorporate plans which focus on predictors of transition through smoking stages, and targeting participation in smoker groups.

Indexed as

EpidemiologyLongitudinal studiesPeer groupPrevalenceRisk factorsRisk-TakingSmokingStudents

Identifiers

PMID24494101
PMCPMC3905501

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.