Evidence map›Paper›PMID 40026694›Full record

ArticleTobacco induced diseases2025

Association between type of smoking and smoking cessation plans in Korean adults: A nationwide cross-sectional study.

Kitae Park, Dan Bi Kim, Jae Yong Shin, Chung-Mo Nam, Eun-Cheol Park

Abstract read
In one paragraph

Article in Tobacco induced diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

5 authors.

Kitae Park *Department of Health Policy and Management, Graduate School of Public Health, Yonsei University, Seoul, Republic of Korea.
Dan Bi Kim *Department of Public Health, Graduate School, Yonsei University, Seoul, Republic of Korea.
Jae Yong ShinInstitute of Health Services Research, Yonsei University, Seoul, Republic of Korea.
Chung-Mo NamDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
Eun-Cheol ParkInstitute of Health Services Research, Yonsei University, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAmid the changing tobacco product landscape, the effects of e-cigarettes on smoking cessation remain unclear. This study aims to examine the relationship between different types of smoking (conventional cigarettes, e-cigarettes, and dual use) and smoking cessation plans among adult smokers.

methodsA representative national dataset analysis of KHANES data (2018-2022) was conducted on 1475 current smokers. Current smokers were defined as those who had smoked more than five packs (100 cigarettes) of cigarettes in their lifetime and had smoked in the past 30 days, and type of smoking was classified as conventional cigarette, e-cigarette, or dual use. Smoking cessation plan was classified as 'yes' for smokers who intended to quit within one or six months, and 'no' for those with no plans to quit. Multivariable logistic regression analysis was used to examine the association between smoking type and smoking cessation plans, adjusting for potential confounders.

resultsA total of 26.0% of male smokers and 30.7% of female smokers had a smoking cessation plan. Compared with conventional cigarette users, e-cigarette users were less likely to have a smoking cessation plan (Male: AOR=0.52; CI: 0.29-0.91; Female: AOR=0.56; CI: 0.16-1.93). The results indicated no statistical significance in female e-cigarette users. In males, e-cigarette users smoking over 20 packs/year were less likely to have smoking cessation plans (AOR=0.11; 95% CI: 0.03-0.58).

conclusionsE-cigarette use may have a negative impact on smoking cessation plans in male smokers. The results suggest the importance of public health efforts to provide accurate information and interventions related to e-cigarettes.

Indexed as

dual usere-cigarettessmoking cessationtobacco

Identifiers

PMID40026694
PMCPMC11869209

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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.