Evidence map›Paper›PMID 39691356›Full record

ArticlePreventive medicine reports2025

Associations of sociodemographic and smoking characteristics with intention to quit among Chinese adults aged 20-69 years who smoke: Findings from nationwide China Health Literacy Survey during 2018-19.

Zhen-Xiao Huang, Ying-Hua Li, Ying Xie, Yi Liu, Zheng Su, Xin Xia, Dan Xiao, Chen Wang

Abstract read
In one paragraph

Article in Preventive medicine reports, 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

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

8 authors.

Zhen-Xiao HuangSchool of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China.
Ying-Hua LiChina Health Education Center, Beijing 100011, China.
Ying XieSchool of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China.
Yi LiuNational Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; Department of Tobacco Control and Prevention of Respiratory Diseases, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing 100029, China.
Zheng SuNational Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; Department of Tobacco Control and Prevention of Respiratory Diseases, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing 100029, China.
Xin XiaNational Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; Department of Tobacco Control and Prevention of Respiratory Diseases, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing 100029, China.
Dan XiaoNational Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; Department of Tobacco Control and Prevention of Respiratory Diseases, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing 100029, China.
Chen WangSchool of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To identify factors influencing the intention to quit (ItQ) among Chinese who smoke, focusing on 10th Revision of the International Classification of Diseases (ICD-10) Nicotine dependence. Additionally, to estimate the number of individuals with ItQ, supporting optimal allocation of cessation resources. Methods: This study used data from the 2018 China Health Literacy Survey, a nationally representative cross-sectional study with 20,288 participants who smoke currently aged 20-69 years. The ItQ proportions were estimated overall and by subgroup. Logistic regression was employed to estimate ORs and 95 % CIs for ItQ. The number of people who smoke with ItQ was estimated based on the census data. Results: In China, 41.34 % of individuals who smoke had ItQ, higher in females (44.89 %) than males (41.34 %). Provincial proportions ranged from 23.53 % to 63.56 %. ItQ was significantly associated with smoking characteristics, including occasional smoking (OR = 2.08, 95 % CI = 1.88-2.20), fewer pack-years (OR = 0.70, 95 % CI = 0.68-0.73), older smoking initiation age (OR = 1.22, 95 % CI = 1.18-1.27), and ICD-10 Nicotine dependence (OR = 1.12, 95 % CI = 1.06-1.19), as well as age, sex, socioeconomic factors, and health status. Withdrawal symptoms were positively associated with ItQ in individuals who smoke without ICD-10 Nicotine dependence but negatively in those with ICD-10 Nicotine dependence. An estimated 100.3 million adults aged 20-69 in China have ItQ, with 52.14 million suffering from ICD-10 Nicotine dependence. Conclusions: The intention to quit smoking among Chinese who smoke is low and varies by ICD-10 Nicotine dependence and region, underscoring the need for targeted smoking cessation interventions across diverse smoking populations.

Indexed as

Associated factorsChinese mainlandIndividuals who smokeIntention to quit smokingNicotine dependence

Identifiers

PMID39691356
PMCPMC11647633

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.