Risk profiling of tobacco epidemic and estimated number of smokers living in China: a cross-sectional study based on PBICR

Our study investigated the prevalence of smokers and exposure to secondhand smoke in different spatial areas of China and explored various factors influencing the smoking prevalence. For the first time, our study applied Bayesian geostatistical modeling to generate a risk prediction map of smoking prevalence, which provides a more intuitive and clear understanding of the spatial disparities in smoking prevalence across different geographical regions, economic levels, and development status. We found significant spatial variations in smokers and secondhand smoke exposure in China, with higher rates in the western and northeastern regions.

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Publication Details

Journal
BMC Public Health
Published
2024-08-15
DOI
https://doi.org/10.1186/s12889-024-18559-x
Citations
3
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
1.58

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article

Risk profiling of tobacco epidemic and estimated number of smokers living in China: a cross-sectional study based on PBICR

Jiangyun Chen, Man Xiong, N. Zhang, Xinyi Rao et al.
3 citations
BMC Public Health
Health disparities and outcomes
1.58
article

Risk profiling of tobacco epidemic and estimated number of smokers living in China: a cross-sectional study based on PBICR

Jiangyun Chen, Man Xiong, N. Zhang, Xinyi Rao, Yibo Wu, Wenjun He, Na Ren, Siyuan Liu, Yang Jiao, Yueying Wang, Haozheng Zhou, Yan Zhou, Wenfu Yang, Sufelia Shalayiding, Xuanhao Yin
article en
3 citations

Abstract

Our study investigated the prevalence of smokers and exposure to secondhand smoke in different spatial areas of China and explored various factors influencing the smoking prevalence. For the first time, our study applied Bayesian geostatistical modeling to generate a risk prediction map of smoking prevalence, which provides a more intuitive and clear understanding of the spatial disparities in smoking prevalence across different geographical regions, economic levels, and development status. We found significant spatial variations in smokers and secondhand smoke exposure in China, with higher rates in the western and northeastern regions.

BMC Public HealthVol. 24(1)
Jinan University (CN), Peking University (CN), University of Macau (MO), Zhuhai People's Hospital (CN), Southern Medical University (CN)
National Natural Science Foundation of China, Guangdong Medical Research Foundation, Guangzhou Municipal Science and Technology Project, National College Students Innovation and Entrepreneurship Training Program
Good health and well-being
Openalex Percentile: Top 16%
Health disparities and outcomes
1.58
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