Zeng Q, Zhang C, Su F, Wan Y, Tu WJ, Hu H. Prevalence, cessation, and geographical variation of smoking among middle-aged and elderly adults in China: A population-based study.
Tob Induc Dis 2024;
22:TID-22-133. [PMID:
39034965 PMCID:
PMC11259031 DOI:
10.18332/tid/190247]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Revised: 06/12/2024] [Accepted: 06/20/2024] [Indexed: 07/23/2024] Open
Abstract
INTRODUCTION
Smoking significantly burdens human health, contributing to an increasing incidence of mortality and morbidity. This study aims to explore the prevalence of smoking, cessation, and the association between various risk factors and smoking intensity measured in pack-years among Chinese adults.
METHODS
During 2020-2021, the China Stroke High-risk Population Screening and Intervention Program (CSHPSIP) invited participants aged ≥40 years from 31 provinces in mainland China. This cross-sectional study presents the standardized prevalence of smoking and cessation across various demographics, including age, sex, residence, income, education level, BMI, and geographical region of residence. Multivariable logistic regression was used to examine the associations between smoking pack-years and related factors.
RESULTS
Among 524741 participants (mean age: 61.9 ± 10.9 years; 41.1% male; 58.9% female), standardized smoking prevalence was 19.3% (95% CI: 19.2-19.4), with men (37.2%; 95% CI: 37.0-37.4) displaying significantly higher rates than women (1.3%; 95% CI: 1.2-1.3). Smoking cessation rate stood at 11.2% (95% CI: 11.0-11.4), with 11.3% (95% CI: 11.1-11.5) for men and 8.4% (95% CI: 7.5-9.2) for women. Urban residents and those with advanced education had lower smoking rates and higher cessation rates. Additionally, the dose-response relationship indicated a more pronounced association between higher smoking pack-years and elevated health risks, including hypertension (AOR=1.30; 95% CI: 1.24-1.36), diabetes (AOR=1.26; 95% CI: 1.20-1.33), hyperlipidemia (AOR=1.22; 95% CI: 1.16-1.28), heart disease (AOR=1.40; 95% CI: 1.26-1.54), and stroke (AOR=1.23; 95% CI: 1.10-1.36).
CONCLUSIONS
This comprehensive study emphasizes the profound impact of smoking on health in Chinese adults, indicating the critical need for tailored cessation programs, particularly for middle-aged individuals, men, rural residents, and those with lower level of education.
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