Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 Jul 23:13:1626620.
doi: 10.3389/fpubh.2025.1626620. eCollection 2025.

The role of health literacy within the social determinants of health framework: a cross-sectional study on smoking behavior in Fujian, China

Affiliations

The role of health literacy within the social determinants of health framework: a cross-sectional study on smoking behavior in Fujian, China

Zulin Chen et al. Front Public Health. .

Abstract

Background: Smoking is a leading preventable cause of death, and its prevalence varies with social determinants of health (SDoH) such as education, age, and urban/rural residence. Health literacy (HL) may influence tobacco use, but its interplay with SDoH in China is unclear. This study examined associations between HL, key SDoH, and current smoking among residents aged 15-69 in Quanzhou, Fujian, China.

Methods: A cross-sectional survey was conducted in 2024 among 3,200 residents of Quanzhou, Fujian Province, selected via multistage random sampling. Data on smoking status, health literacy, and SDoH were collected using the nationally standardised questionnaire developed by the Chinese Center for Health Education. Associations between smoking status, HL, and SDoH were analyzed using chi-square tests and multivariable logistic regression.

Results: Of 3,200 participants, the overall prevalence of current smoking was 25.680%, with significant gender differences (p < 0.001). Given the extremely low prevalence of current smoking among females (0.66%), the following results are based exclusively on male participants. Among males (n = 1,533), smoking prevalence was higher in rural areas (51.37%) than in urban areas (41.83%, p = 0.002), and increased with age, peaking at 58.74% among those aged 55-64 (p < 0.001). Smoking prevalence declined with higher educational attainment, from 54.27% in those with junior high school education to 18.380% in those with a bachelor's degree or higher (p < 0.001). Multivariable logistic regression showed that age was associated with increased odds of smoking (e.g., OR = 5.699, 95% CI: 3.091-10.508 for ages 55-64 vs. 15-24; p < 0.001), and higher education was associated with reduced odds (e.g., bachelor's degree vs. no formal education: OR = 0.180, 95% CI: 0.087-0.374; p < 0.001). Among HL dimensions, only inadequate practical health skills remained significantly associated with current smoking (OR = 1.358, 95% CI: 1.015-1.817; p = 0.039).

Conclusion: HL and SDoH jointly influenced smoking in Chinese men; low practical health skills and being older, less educated, or from a rural area were linked to higher risk. Strategies that enhance practical health skills and address social disparities may help reduce smoking, supporting Healthy China 2030 and WHO tobacco-control goals.

Keywords: cross-sectional study; educational inequalities; health literacy; male; smoking behavior; social determinants of health/SDoH; tobacco use.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Similar articles

References

    1. Siddiqi K, Husain S, Vidyasagaran A, Readshaw A, Mishu MP, Sheikh A. Global burden of disease due to smokeless tobacco consumption in adults: an updated analysis of data from 127 countries. BMC Med. (2020) 18:222. doi: 10.1186/s12916-020-01677-9, PMID: - DOI - PMC - PubMed
    1. World Health Organization . WHO global report on trends in prevalence of tobacco use 2000–2025. 4th ed. Geneva: World Health Organization; (2021).
    1. Garrett BE, Dube SR, Babb S, McAfee T. Addressing the social determinants of health to reduce tobacco-related disparities. Nicotine Tob Res. (2015) 17:892–7. doi: 10.1093/ntr/ntu266, PMID: - DOI - PMC - PubMed
    1. Zhang M, Yang L, Wang L, Jiang Y, Huang Z, Zhao Z, et al. Trends in smoking prevalence in urban and rural China, 2007 to 2018: findings from 5 consecutive nationally representative cross-sectional surveys. PLoS Med. (2022) 19:e1004064. doi: 10.1371/journal.pmed.1004064, PMID: - DOI - PMC - PubMed
    1. Sun S, Yu H, Ling J, Yao D, Chen H, Liu G. The influence of health literacy and knowledge about smoking hazards on the intention to quit smoking and its intensity: an empirical study based on the data of China’s health literacy investigation. BMC Public Health. (2023) 23:2355. doi: 10.1186/s12889-023-17292-1, PMID: - DOI - PMC - PubMed

LinkOut - more resources