Evidence map›Paper›PMID 23766872›Full record

ArticleJournal of preventive medicine and public health = Yebang Uihakhoe chi2013

Factors related to increasing trends in cigarette smoking of adolescent males in rural areas of Korea.

Nam Soo Hong, Sin Kam, Keon Yeop Kim

Abstract read
In one paragraph

Article in Journal of preventive medicine and public health = Yebang Uihakhoe chi, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

3 authors.

Nam Soo HongDepartment of Preventive Medicine, Kyungpook National University School of Medicine, Daegu, Korea.
Sin Kam
Keon Yeop Kim

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCigarette smoking prevalence among adolescent males in rural areas of Korea has increased in recent years. The aim of this study was to explore the factors related to increasing trends in cigarette smoking among adolescent males living in rural areas.

methodsThe raw data from the Korea Youth Risk Behavior Web-based Survey from 2006 to 2009 were used. Data were analyzed by using the method of complex survey data analysis considering complex sampling design. Multiple logistic regression models were used to explore the factors affecting cigarette smoking. We evaluated the linear time trends in the prevalence of factors that were related to current smoking status and the linear time trends in cigarette smoking in groups stratified by the exposure to each factor using logistic regression models. Finally, we examined the contributions of the factors to the time trends in cigarette smoking by adjusting for each of those factors in the baseline regression models and changes in the adjusted odds ratio by survey year.

resultsA statistically significant increasing trend in smoking was observed after adjusting for the factors affecting cigarette smoking. Significant factors related to cigarette use were perceived stress, experience with depression, current alcohol drinking, exposure to secondhand smoke, and academic performance. The factor related to increasing trends in cigarette smoking was academic performance.

conclusionsStress about academic performance is an important factor affecting the increase in cigarette smoking among adolescent males in a rural area of Korea.

Indexed as

AdolescentAdolescent BehaviorAlcohol DrinkingDepressionHumansInternetLogistic ModelsMaleOdds RatioPrevalencePsychology, AdolescentRepublic of KoreaRisk FactorsRural PopulationSmokingTobacco Smoke PollutionTobacco Smoke PollutionAdolescentKorea Youth Risk Behavior Web-based SurveySmokingTrends

Identifiers

PMID23766872
PMCPMC3677067

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.