Evidence map›Paper›PMID 28549442›Full record

ArticleBMC public health2017

Characteristics of hardcore smokers in South Korea from 2007 to 2013.

EunKyo Kang, Jung A Lee, Hong-Jun Cho

Abstract read
In one paragraph

Article in BMC public health, 2017. 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. Article
  8. Factors Associated with Single-Use and Co-Use of Tobacco and Alcohol: A Multinomial Modeling Approach.International journal of environmental research and public health · 2019
    Article
  9. Prevalence and Predictors of Hardcore Smoking in India-: Findings from the Global Adult Tobacco Survey (2016-2017).Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    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.

EunKyo KangDepartment of Family Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Jung A LeeDepartment of Family Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Hong-Jun ChoDepartment of Family Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea. hjcho@amc.seoul.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs the prevalence of smoking decreased in western countries, a significant proportion of smokers appeared to be particularly resistant to quitting- "hardcore" smokers. This study examines the characteristics of hardcore smokers in South Korea.

methodsWe used the data from 2007 to 2013 from the Korea National Health and Nutrition Examination Survey. Hardcore smoking was defined as (1) smoking >15 cigarettes per day, (2) having no plans of quitting, and (3) having made no attempts to quit. Multiple logistic regression analyses were used to investigate the association between various sociodemographic variables and hardcore smoking.

resultsThe proportion of hardcore smokers among smokers did not change significantly from 23.1% in 2007 to 23.0% in 2013. None of the three characteristics of hardcore smokers for either gender showed a significant change from 2007 to 2013. Multiple logistic regression analysis showed that hardcore smokers were 1.64 times (95% confidence interval [CI], 1.28-2.11) greater among those aging 40-49 years than among those aging 19-29 years, and four times greater among men than women. Never-married smokers were less likely to be hardcore smokers than married ones (odds ratio 0.79; 95% CI, 0.66-0.96). Household income and education level did not have any significant association with the likelihood of a hardcore smoker.

conclusionsHardcore smoking was more prevalent among men, unmarried men and those aging 40-49 years.

Indexed as

AdultAge FactorsFemaleHumansMaleMiddle AgedOdds RatioPrevalenceRepublic of KoreaSex FactorsSmokingSocioeconomic FactorsTobacco ProductsTobacco Use DisorderYoung AdultKoreaSmokingTobacco use

Identifiers

PMID28549442
PMCPMC5446685

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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.