Contrasting male and female trends in tobacco-attributed mortality in China: evidence from successive nationwide prospective cohort studies
Open accessAbstract
BACKGROUND: Chinese men now smoke more than a third of the world's cigarettes, following a large increase in urban then rural usage. Conversely, Chinese women now smoke far less than in previous generations. We assess the oppositely changing effects of tobacco on male and female mortality. METHODS: Two nationwide prospective studies 15 years apart recruited 220,000 men in about 1991 at ages 40-79 years (first study) and 210,000 men and 300,000 women in about 2006 at ages 35-74 years (second study), with follow-up during 1991-99 (mid-year 1995) and 2006-14 (mid-year 2010), respectively. Cox regression yielded sex-specific adjusted mortality rate ratios (RRs) comparing smokers (including any who had stopped because of illness, but not the other ex-smokers, who are described as having stopped by choice) versus never-smokers. FINDINGS: Two-thirds of the men smoked; there was little dependence of male smoking prevalence on age, but many smokers had not smoked cigarettes throughout adult life. Comparing men born before and since 1950, in the older generation, the age at which smoking had started was later and, particularly in rural areas, lifelong exclusive cigarette use was less common than in the younger generation. Comparing male mortality RRs in the first study (mid-year 1995) versus those in the second study (mid-year 2010), the proportional excess risk among smokers (RR-1) approximately doubled over this 15-year period (urban: RR 1·32 [95% CI 1·24-1·41] vs 1·65 [1·53-1·79]; rural: RR 1·13 [1·09-1·17] vs 1·22 [1·16-1·29]), as did the smoking-attributed fraction of deaths at ages 40-79 years (urban: 17% vs 26%; rural: 9% vs 14%). In the second study, urban male smokers who had started before age 20 years (which is now typical among both urban and rural young men) had twice the never-smoker mortality rate (RR 1·98, 1·79-2·19, approaching Western RRs), with substantial excess mortality from chronic obstructive pulmonary disease (COPD RR 9·09, 5·11-16·15), lung cancer (RR 3·78, 2·78-5·14), and ischaemic stroke or ischaemic heart disease (combined RR 2·03, 1·66-2·47). Ex-smokers who had stopped by choice (only 3% of ever-smokers in 1991, but 9% in 2006) had little smoking-attributed risk more than 10 years after stopping. Among Chinese women, however, there has been a tenfold intergenerational reduction in smoking uptake rates. In the second study, among women born in the 1930s, 1940s, 1950s, and since 1960 the proportions who had smoked were, respectively, 10%, 5%, 2%, and 1% (3097/30,943, 3265/62,246, 2339/97,344, and 1068/111,933). The smoker versus non-smoker RR of 1·51 (1·40-1·63) for all female mortality at ages 40-79 years accounted for 5%, 3%, 1%, and <1%, respectively, of all the female deaths in these four successive birth cohorts. In 2010, smoking caused about 1 million (840,000 male, 130,000 female) deaths in China. INTERPRETATION: Smoking will cause about 20% of all adult male deaths in China during the 2010s. The tobacco-attributed proportion is increasing in men, but low, and decreasing, in women. Although overall adult mortality rates are falling, as the adult population of China grows and the proportion of male deaths due to smoking increases, the annual number of deaths in China that are caused by tobacco will rise from about 1 million in 2010 to 2 million in 2030 and 3 million in 2050, unless there is widespread cessation. FUNDING: Wellcome Trust, MRC, BHF, CR-UK, Kadoorie Charitable Foundation, Chinese MoST and NSFC.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Smoking already causes around 20% of all deaths in middle age in Chinese men.
“smoking already causes around 20% of all deaths in middle age in Chinese men.207”
From Global health 2050: the path to halving premature death by mid-century (2024) · cites this paper as [207]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Mortality in relation to smoking: 50 years' observations on male British doctors
Doll, R., Peto, R., Boreham, J., & Sutherland, I. (2004) · BMJ · doi:10.1136/bmj.38142.554479.ae · Cited by 2,920 · see citing works
Self-citationChen, Z., Chen, J., Collins, R., Guo, Y., Peto, R., Wu, F., Li, L., & on behalf of the China Kadoorie Biobank (CKB) collaborative group (2011) · International Journal of Epidemiology · doi:10.1093/ije/dyr120 · Cited by 1,034 · see citing works
Self-citationHuxley, R. R., & Woodward, M. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60781-2 · Cited by 906 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Cancer statistics in China, 2015
Chen, W., Zheng, R., Baade, P. D., Zhang, S., Zeng, H., Bray, F., Jemal, A., Yu, X. Q., & He, J. (2016) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21338 · Cited by 17,038 · see citing works
Richardson, S., Hirsch, J. S., Narasimhan, M., Crawford, J. M., McGinn, T., Davidson, K. W., and the Northwell COVID-19 Research Consortium, Barnaby, D. P., Becker, L. B., Chelico, J. D., et al. (2020) · JAMA · doi:10.1001/jama.2020.6775 · Cited by 9,254 · see citing works
Feigin, V. L., Roth, G. A., Naghavi, M., Parmar, P., Krishnamurthi, R., Chugh, S., Mensah, G. A., Norrving, B., Shiue, I., Ng, M., et al. (2016) · The Lancet Neurology · doi:10.1016/s1474-4422(16)30073-4 · Cited by 1,691 · see citing works
Yang, K., Sheng, Y., Huang, C., Jin, Y., Xiong, N., Jiang, K., Lu, H., Liu, J., Yang, J., Dong, Y., et al. (2020) · The Lancet Oncology · doi:10.1016/s1470-2045(20)30310-7 · Cited by 584 · see citing works
Self-citationAdherence to healthy lifestyle and cardiovascular diseases in the Chinese population
Lv, J., Yu, C., Guo, Y., Bian, Z., Yang, L., Chen, Y., Tang, X., Zhang, W., Qian, Y., Huang, Y., et al. (2017) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2016.11.076 · Cited by 266 · see citing works
Self-citationGlobal health 2050: the path to halving premature death by mid-century
Jamison, D. T., Summers, L. H., Chang, A. Y., Karlsson, O., Mao, W., Norheim, O. F., Ogbuoji, O., Schäferhoff, M., Watkins, D., Adeyi, O., et al. (2024) · The Lancet · doi:10.1016/s0140-6736(24)01439-9 · Cited by 125 · see citing works
Self-citationLiu, 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
Wang, C., Huang, P., Shen, Z., Qian, W., Li, K., Luo, X., Zeng, Q., Guo, T., Yu, H., Yang, Y., et al. (2019) · Neuroscience Letters · doi:10.1016/j.neulet.2018.12.013 · Cited by 16 · see citing works
Wang, S., Zuo, L., Jiang, T., Peng, P., Chu, S., & Xiao, D. (2017) · Neurological Research · doi:10.1080/01616412.2017.1379277 · Cited by 12 · see citing works
- Authors
- Chen, Z., Peto, R., Zhou, M., Iona, A., Smith, M., Yang, L., Guo, Y., Chen, Y., Bian, Z., Lancaster, G., Sherliker, P., Pang, S., Wang, H., Su, H., Wu, M., Wu, X., Chen, J., Collins, R., & Li, L.
- Affiliations
- University of Oxford (GB)
- Chinese Center For Disease Control and Prevention (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Jiangsu Provincial Center for Disease Control and Prevention (CN)
- Sichuan Center for Disease Control and Prevention (CN)
- China National Center for Food Safety Risk Assessment (CN)
- Corresponding author
- Li, Liming
- ORCID
- Venue
- The Lancet
- Publisher
- Elsevier BV
- Published
- 2015-10
- Volume
- 386
- Issue
- 10002
- Pages
- 1447-1456
- ISSN
- 0099-5355 (ISSN-L)
- 0140-6736
- PMC
- PMC4691901
- OpenAlex
- W1897436286
- Cited by
- 430
- References
- 3
- Citations by year
- 2026: 23 · 2025: 44 · 2024: 37 · 2023: 48 · 2022: 41 · 2021: 43 · 2020: 43 · 2019: 47 · 2018: 32 · 2017: 44 · 2016: 24 · 2015: 3
- FWCI
- 4.22
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- The Lancet (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Pure (Coventry University) (submittedVersion, cc-by)
- Funders
- Wellcome Trust (088158/Z/09/Z, 104085/Z/14/Z, 2011BAI09B01, 81390541)
- International Development Research Centre
- Cancer Research UK (088158/Z/09/Z, 104085/Z/14/Z)
- British Heart Foundation (104085/Z/14/Z, 088158/Z/09/Z)
- National Natural Science Foundation of China (104085/Z/14/Z, 81390541, 088158/Z/09/Z, 2011BAI09B01)
- Ministry of Science and Technology of the People's Republic of China (2011BAI09B01, 088158/Z/09/Z, 81390541, 104085/Z/14/Z)
- Medical Research Council (104085/Z/14/Z, 088158/Z/09/Z, MC_PC_13049)
- 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
- sex differences, smoking prevalence, urban-rural differences, smoking initiation age, smoking cessation, men's health, China, cohort studies, mortality trends, urbanization, never smokers
- MeSH terms
- Adult, Aged, China, Female, Follow-Up Studies, Humans, Male, Middle Aged, Mortality, Prospective Studies, Rural Health, Smoking, Urban Health, Smoking Cessation, Age Distribution, Sex Distribution
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review