Trends in smoking prevalence and implication for chronic diseases in China: Serial national cross-sectional surveys from 2003 to 2013
Abstract
Background China is the world's largest consumer of tobacco and has a large smoking-related chronic disease burden. In this nationwide study, we aimed to evaluate smoking prevalence and its implication on chronic diseases in the Chinese population.Methods We collected data from serial cross-sectional National Health Service Surveys done in China in 2003, 2008, and 2013. These surveys cover all 31 provinces, autonomous regions, and municipalities in mainland China, and use multistage stratified cluster sampling. We divided mainland China into east, central, and west regions and then sampled counties from each region stratified by urban and rural areas. All respondents aged 15 years or older in the selected households were eligible. We analysed the variation in smoking prevalence from 2003 to 2013, further identified risk factors for smoking, and assessed the association between smoking and chronic diseases by using multiple logistic regression.Findings The number of individuals interviewed and involved in the study was 153 450 in 2003, 145 223 in 2008, and 229 676 in 2013. The standardised smoking prevalence in China was consistently high, with a proportion of current smokers of 26·0% (95% CI 25·8-26·2) in 2003, 24·9% (24·8-25·1) in 2008, and 25·2% (25·1-25·4) in 2013 (p value for trend 0·5062). For men, prevalence was 48·4% (48·1-48·7) in 2003, 47·0% (46·6-47·4) in 2008, and 47·2% (46·9-47·5) in 2013. For women, prevalence was 3·1% (3·0-3·2) in 2003, 2·3% (2·2-2·5) in 2008, and 2·7% (2·6-2·8) in 2013. Smoking prevalence varied in different regions, and we identified four major patterns. While a consistently high proportion of Chinese men smoked, the standardised smoking prevalence in women younger than 40 years increased from 1·0% in 2003 to 1·6% in 2013. Moreover, the smoking prevalence among adolescent smokers aged 15-24 years increased from 8·3% in 2003 to 12·5% in 2013. Alcohol consumption was closely linked to smoking in adolescents (odds ratio 7·5, 95% CI 6·9-8·1). Risk factors for adolescent smoking were having older family members who smoke (1·9, 1·8-1·9) and low level education (1·3, 1·2-1·4). Increased risks of chronic diseases were related to smoking (1·1, 1·0-1·1), with higher risks related to early smoking initiation (1·1, 1·0-1·1) and long-term smoking (1·2, 1·2-1·3).Interpretation The implementation of tobacco control policies in China since the signing of the WHO Framework Convention on Tobacco Control in 2003 has not been effective in reducing smoking prevalence. Smoking prevalence among adolescents of both genders has increased substantially and there has been a steady increase among young women. More practical and effective policies targeting adolescents and women are urgently needed. Action is needed to prevent the large and growing smoking-related chronic disease burden further increasing as China's population ages.Funding National Health Commission of the People's Republic of China.
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Smokers have significantly lower bone mineral density than non-smokers.
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Cites
Forouzanfar, M. H., Afshin, A., Alexander, L. T., Anderson, H. R., Bhutta, Z. A., Biryukov, S., Brauer, M., Burnett, R., Cercy, K., Charlson, F. J., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(16)31679-8 · Cited by 7,698 · see citing works
Self-citationGakidou, E., Afshin, A., Abajobir, A. A., Abate, K. H., Abbafati, C., Abbas, K. M., Abd-Allah, F., Abdulle, A. M., Abera, S. F., Aboyans, V., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)32366-8 · Cited by 2,406 · see citing works
Self-citationPrevalence and Ethnic Pattern of Diabetes and Prediabetes in China in 2013
Wang, L., Gao, P., Zhang, M., Huang, Z., Zhang, D., Deng, Q., Yichong, L., Zhao, Z., Qin, X., Jin, D., et al. (2017) · JAMA · doi:10.1001/jama.2017.7596 · Cited by 1,849 · see citing works
Self-citationWang, C., Xu, J., Yang, L., Xu, Y., Zhang, X., Bai, C., Kang, J., Ran, P., Shen, H., Wen, F., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)30841-9 · Cited by 1,707 · see citing works
Self-citationSmoking prevalence and cigarette consumption in 187 countries, 1980-2012
Ng, M., Freeman, M. K., Fleming, T. D., Robinson, M., Dwyer-Lindgren, L., Thomson, B., Wollum, A., Sanman, E., Wulf, S., Lopez, A. D., et al. (2014) · JAMA · doi:10.1001/jama.2013.284692 · Cited by 1,576 · see citing works
Zhou, M., Wang, H., Zhu, J. W., Chen, W., Wang, L., Liu, S., Yichong, L., Wang, L., Liu, Y., Yin, P., et al. (2015) · The Lancet · doi:10.1016/s0140-6736(15)00551-6 · Cited by 1,466 · see citing works
Self-citationEstimates of global mortality attributable to smoking in 2000
Ezzati, M., & Lopez, A. D. (2003) · The Lancet · doi:10.1016/s0140-6736(03)14338-3 · Cited by 1,247 · see citing works
Shibuya, K., Ciecierski, C. C., Guindon, G. E., Bettcher, D. W., EVANS, D. B., & Murray, C. J. L. (2003) · BMJ · doi:10.1136/bmj.327.7407.154 · Cited by 1,239 · see citing works
Lu, J., Lu, Y., Wang, X., Li, X., Linderman, G. C., Wu, C., Cheng, X., Mu, L., Zhang, H., Liu, J., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)32478-9 · Cited by 1,133 · see citing works
Self-citationGiovino, G. A., Mirza, S. A., Samet, J. M., Gupta, P. C., Jarvis, M. J., Bhala, N., Peto, R., Zatonski, W., Hsia, J., Morton, J., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61085-x · Cited by 740 · see citing works
Meng, Q., Xu, L., Zhang, Y., Juncheng, Q., Cai, M., Xin, Y., Gao, J., Xu, K., Boerma, J. T., & Barber, S. L. (2012) · The Lancet · doi:10.1016/s0140-6736(12)60278-5 · Cited by 611 · see citing works
Bilano, V., Gilmour, S., Moffiet, T., d'Espaignet, E. T., Stevens, G. A., Commar, A., Tuyl, F., Hudson, I., & Shibuya, K. (2015) · The Lancet · doi:10.1016/s0140-6736(15)60264-1 · Cited by 463 · see citing works
Källberg, H., Ding, B., Padyukov, L., Bengtsson, C., Rönnelid, J., Klareskog, L., & Alfredsson, L. S. (2010) · Annals of the Rheumatic Diseases · doi:10.1136/ard.2009.120899 · Cited by 401 · see citing works
Rosenstock, S. J., Jørgensen, T., Bonnevie, O., et al. (2003) · Gut · doi:10.1136/gut.52.2.186 · Cited by 277 · see citing works
The road to effective tobacco control in China
Yang, G., Wang, Y., Wu, Y., Yang, J., & Wan, X. (2015) · The Lancet · doi:10.1016/s0140-6736(15)60174-x · Cited by 269 · see citing works
Xi, B., Liang, Y., Liu, Y., Yan, Y., Zhao, M., Ma, C., & Bovet, P. (2016) · The Lancet Global Health · doi:10.1016/s2214-109x(16)30187-5 · Cited by 214 · see citing works
WHO technical manual on tobacco tax administration
Smith, K. E. (2013) · Public Health · doi:10.1016/j.puhe.2012.10.004 · Cited by 172 · see citing works
Bush, J., White, M., Kai, J., Rankin, J., & Bhopal, R. (2003) · BMJ · doi:10.1136/bmj.326.7396.962 · Cited by 154 · see citing works
Religious Involvement and Cigarette Smoking in Young Adults: The CARDIA Study
Whooley, M. A., Boyd, A. L., Gardin, J. M., & Williams, D. R. (2002) · Archives of Internal Medicine · doi:10.1001/archinte.162.14.1604 · Cited by 101 · see citing works
Liu, X., Bragg, F., Yang, L., Kartsonaki, C., Guo, Y., Du, H., Bian, Z., Chen, Y., Yu, C., Lv, J., et al. (2018) · The Lancet Public Health · doi:10.1016/s2468-2667(18)30026-4 · Cited by 94 · see citing works
Yichong, L., Zeng, X., Liu, J., Liu, Y., Liu, S., Yin, P., Qi, J., Zhao, Z., Yu, S., Hu, Y., et al. (2017) · BMC Medicine · doi:10.1186/s12916-017-0894-5 · Cited by 89 · see citing works
Self-citationTobacco control challenges in East Asia: proposals for change in the world's largest epidemic region
Katanoda, K., Jiang, Y., Park, S., Lim, M. K., Qiao, Y., & Inoue, M. (2013) · Tobacco Control · doi:10.1136/tobaccocontrol-2012-050852 · Cited by 73 · see citing works
Katulanda, P., Ranasinghe, C., Rathnapala, A., Karunaratne, N., Sheriff, R., & Matthews, D. R. (2014) · BMC Public Health · doi:10.1186/1471-2458-14-612 · Cited by 59 · see citing works
WHO Framework Convention on Tobacco Control: a key milestone
Nikogosian, H. (2010) · Bulletin of the World Health Organization · doi:10.2471/blt.10.075895 · Cited by 43 · see citing works
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Qiao, J., Wang, Y., Li, X., Jiang, F., Zhang, Y., Ma, J., Song, Y., Ma, J., Fu, W., Pang, R., et al. (2021) · The Lancet · doi:10.1016/s0140-6736(20)32708-2 · Cited by 569 · see citing works
Self-citationPrecision medicine in the era of artificial intelligence: implications in chronic disease management
Subramanian, M., Wojtusciszyn, A., Favre, L., Boughorbel, S., Shan, J., Letaief, K. B., Pitteloud, N., & Chouchane, L. (2020) · Journal of Translational Medicine · doi:10.1186/s12967-020-02658-5 · Cited by 362 · see citing works
Dorjee, K., Kim, H., Bonomo, E., & Dolma, R. (2020) · PLOS ONE · doi:10.1371/journal.pone.0243191 · Cited by 216 · see citing works
An Overlooked Bone Metabolic Disorder: Cigarette Smoking-Induced Osteoporosis
Weng, W., Li, H., & Zhu, S. (2022) · Genes · doi:10.3390/genes13050806 · Cited by 65 · see citing works
- Authors
- Wang, M., Luo, X., Xu, S., Liu, W., Ding, F., Zhang, X., Wang, L., Liu, J., Hu, J., & Wang, W.
- Affiliations
- Tongji Hospital (CN)
- National Health and Family Planning Commission (CN)
- Corresponding author
- Wang, Wei
- ORCID
- Venue
- The Lancet Respiratory Medicine
- Publisher
- Elsevier BV
- Published
- 2019-01
- Volume
- 7
- Issue
- 1
- Pages
- 35-45
- ISSN
- 2213-2600 (ISSN-L)
- OpenAlex
- W2898484931
- Cited by
- 326
- References
- 24
- Citations by year
- 2026: 16 · 2025: 42 · 2024: 41 · 2023: 47 · 2022: 71 · 2021: 44 · 2020: 47 · 2019: 14 · 2018: 2
- FWCI
- 18.34
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Lancet Respiratory Medicine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Huazhong University of Science and Technology
- Topics
- Health Sciences › Medicine › Physiology › Smoking Behavior and Cessation
- Health Sciences › Medicine › Oncology › Global Cancer Incidence and Screening
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Chronic Obstructive Pulmonary Disease (COPD) Research
- Keywords
- tobacco use trends, chronic disease, smoking risk factors, urban-rural differences, sex differences in smoking, China, tobacco control, smoking cessation, lung cancer, cardiovascular disease, stroke, chronic obstructive pulmonary disease, diabetes mellitus, cancer mortality
- MeSH terms
- Cigarette Smoking, Adolescent, Adult, China, Chronic Disease, Cross-Sectional Studies, Female, Health Surveys, Humans, Male, Middle Aged, Risk Factors, Prevalence, Logistic Models, Cost of Illness, Age Distribution, Sex Distribution, Young Adult
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