100+ datasets found
  1. Countries with the highest share of tobacco-related deaths among males in...

    • statista.com
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    Statista, Countries with the highest share of tobacco-related deaths among males in 2019 [Dataset]. https://www.statista.com/statistics/279456/male-death-percentage-from-tobacco-use/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    Worldwide
    Description

    In 2019, China was the country with the highest share of deaths among males due to tobacco use worldwide. At that time, around ** percent of all deaths among males in China could be attributed to tobacco use. This statistic shows the countries with the highest percentage of male deaths due to tobacco use worldwide in 2019.

  2. Smoking Crisis

    • kaggle.com
    zip
    Updated Feb 23, 2024
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    willian oliveira (2024). Smoking Crisis [Dataset]. https://www.kaggle.com/datasets/willianoliveiragibin/smoking-crisis
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    zip(62301 bytes)Available download formats
    Dataset updated
    Feb 23, 2024
    Authors
    willian oliveira
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    project use R for graph :

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16731800%2F9ea39c2ead4bbbaf665a04d32f5cd292%2Fgraph1.gif?generation=1708719099584294&alt=media" alt="">

    Tobacco smoking stands as a significant global health crisis, affecting millions worldwide and leading to severe health complications and premature deaths. This issue has persisted for decades, with an estimated 100 million people succumbing prematurely due to smoking-related causes throughout the 20th century, predominantly in affluent nations. However, a decline in the global smoking rate signals a positive shift in global health, potentially enabling millions to enjoy longer, healthier lives.

    Annually, smoking is responsible for approximately 8 million premature deaths. These figures highlight the urgent need for effective measures to combat this epidemic. The World Health Organization (WHO) and the Institute for Health Metrics and Evaluation (IHME) provide critical data on the mortality rates associated with tobacco use, emphasizing the gravity of the situation. According to the latest WHO estimates as of November 2023, over 8 million people die each year due to tobacco use, with more than 7 million of these deaths directly linked to smoking. Additionally, around 1.3 million nonsmokers die from exposure to second-hand smoke. The IHME's Global Burden of Disease study further supports these findings, estimating that 8.7 million deaths annually can be attributed to tobacco use, including 7.7 million from smoking and 1.3 million from second-hand smoke exposure, alongside an additional 56,000 deaths from chewing tobacco.

    The impact of smoking on mortality is disproportionately higher among men, who account for 71% of premature deaths due to smoking. This disparity underscores the need for targeted interventions that address the specific risks and behaviors associated with smoking among different demographics.

    Understanding the vast death toll from tobacco use requires a comprehensive approach that encompasses all forms of tobacco consumption, including smoking and chewing tobacco. The data indicate that the vast majority of tobacco-related deaths are due to smoking, with figures from the IHME suggesting that smoking-related deaths constitute more than 99.9% of all tobacco-use deaths. This emphasizes the critical importance of focusing public health efforts on reducing smoking rates to mitigate the overall impact of tobacco on global health.

    The interactive charts and studies provided by organizations like the WHO and IHME offer valuable insights into the global and regional dynamics of smoking-related health issues. These resources allow for a detailed examination of smoking trends and their health consequences, facilitating evidence-based policy-making and public health strategies aimed at reducing smoking prevalence and its associated health burden.

    Efforts to combat smoking must take into account the various factors that contribute to its prevalence, including societal norms, economic factors, and the addictive nature of nicotine. Public health campaigns, legislative measures, and support programs for those trying to quit smoking are essential components of a comprehensive strategy to address this issue.

    Furthermore, research into the health effects of smoking and the mechanisms by which it contributes to diseases such as cancer, heart disease, and respiratory illnesses is crucial for developing effective treatments and prevention strategies. By understanding the full scope of smoking's impact on health, researchers and policymakers can better target interventions to reduce smoking rates and improve public health outcomes.

    In conclusion, the global health crisis posed by tobacco smoking is a multifaceted issue that requires concerted efforts from governments, public health organizations, and communities worldwide. The declining trend in smoking rates offers hope, but the continued high prevalence of smoking-related deaths underscores the need for ongoing action. Through research, public health initiatives, and policy interventions, it is possible to further reduce smoking rates and alleviate the tremendous health burden it imposes on societies around the globe.

  3. U.S. Tobacco Use Data

    • kaggle.com
    Updated Jan 24, 2023
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    The Devastator (2023). U.S. Tobacco Use Data [Dataset]. https://www.kaggle.com/datasets/thedevastator/u-s-tobacco-use-data-1995-2010
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 24, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    The Devastator
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    U.S. Tobacco Use Data

    Prevalence and Trends by State

    By Health [source]

    About this dataset

    This dataset provides insight into the prevalence and trends in tobacco use across the United States. By breaking down this data by state, you can see how tobacco has been used and changed over time. Smoking is a major contributor to premature deaths and health complications, so understanding historic usage rates can help us analyze and hopefully reduce those negative impacts. Drawing from the Behavioral Risk Factor Surveillance System, this dataset gives us an unparalleled look at both current and historical smoking habits in each of our states. With this data, we can identify high risk areas and track changes throughout the years for better health outcomes overall

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    How to use the dataset

    This dataset contains information on the prevalence and trends of tobacco use in the United States. The data is broken down by state, and includes percentages of smokers, former smokers, and those who have never smoked. With this dataset you can explore how smoking habits have changed over time as well as what regions of the country have seen more or less consistent smoking trends.

    To begin using this dataset, you will first want to familiarize yourself with the columns included within it and their associated values. There is a “State” column that provides the US state for which each row refers to; there are also columns detailing percentages for those who smoke every day (Smoke Everyday), some days (Smoke Some Days), previously smoked (Former Smoker) and those who have never smoked (Never Smoked). The “Location 1” column indicates each geographic region that falls into one of either four US census divisions or eight regions based upon where each state lies in relation to one another.

    Once you understand the data presented within these columns, there are a few different ways to begin exploring how tobacco use has changed throughout time including plotting prevalence data over different periods such as decades or specific years; compiling descriptive statistics such as percentiles or mean values; contrasting between states based on any relevant factors such as urban/rural population size or economic/political standing; and lastly looking at patterns developing throughout multiple years via various visualisations like box-and-whisker plots amongst other alternatives.

    This wide set of possibilities makes this dataset interesting enough regardless if you are looking at regional differences across single points in time or long-term changes regarding national strategies around reducing nicotine consumption. With all its nuances uncovered hopefully your results can lead towards further research uncovering any aspect about smoking culture you may find fascinating!

    Research Ideas

    • Comparing regional and state-level smoking rates and trends over time.
    • Analyzing how different demographics are affected by state-level smoking trends, such as comparing gender or age-based differences in prevalence and/or decreasing or increasing rates of tobacco use at the regional level over time.
    • Developing visualization maps that show changes in tobacco consumption prevalence (and related health risk factors) by location on an interactive website or tool for public consumption of data insights from this dataset

    Acknowledgements

    If you use this dataset in your research, please credit the original authors. Data Source

    License

    License: Open Database License (ODbL) v1.0 - You are free to: - Share - copy and redistribute the material in any medium or format. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices. - No Derivatives - If you remix, transform, or build upon the material, you may not distribute the modified material. - No additional restrictions - You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

    Columns

    File: BRFSS_Prevalence_and_Trends_Data_Tobacco_Use_-_Four_Level_Smoking_Data_for_1995-2010.csv | Column name | ...

  4. Fetal mortality rates in the United States in 2023, by age and tobacco use

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). Fetal mortality rates in the United States in 2023, by age and tobacco use [Dataset]. https://www.statista.com/statistics/1285779/fetal-mortality-rates-united-states-by-age-tobacco-use/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, there were around 12 fetal deaths per 1,000 births among women in the United States aged 35 to 39 years who used tobacco during their pregnancy, a significantly higher number compared to around five fetal deaths per 1,000 births among women in the same age group who did not use tobacco during their pregnancy. This statistic illustrates the fetal mortality rates in the United States in 2023, by age and tobacco use during pregnancy.

  5. Number of smoking-attributable deaths from tobacco-related diseases...

    • statista.com
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    Statista, Number of smoking-attributable deaths from tobacco-related diseases worldwide in 2019 [Dataset]. https://www.statista.com/statistics/279461/tobacco-caused-deaths-in-2015/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    Worldwide
    Description

    In 2019, there were around *********** deaths worldwide due to ischemic heart disease attributable to smoking. There were a further *** million deaths from ischemic heart disease caused by other factors. This statistic shows the total number of smoking-attributable deaths from tobacco-related diseases worldwide in 2019.

  6. Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) -...

    • catalog.data.gov
    • data.virginia.gov
    • +7more
    Updated Feb 3, 2025
    + more versions
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    Centers for Disease Control and Prevention (2025). Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) - Smoking-Attributable Mortality (SAM) [Dataset]. https://catalog.data.gov/dataset/smoking-attributable-mortality-morbidity-and-economic-costs-sammec-smoking-attributable-mo
    Explore at:
    Dataset updated
    Feb 3, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    2005-2009. SAMMEC - Smoking-Attributable Mortality, Morbidity, and Economic Costs. Smoking-attributable mortality (SAM) is the number of deaths caused by cigarette smoking based on diseases for which the U.S. Surgeon General has determined that cigarette smoking is a causal factor.

  7. g

    Tobacco-Related Deaths

    • gimi9.com
    • catalog.data.gov
    Updated Feb 11, 2019
    + more versions
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    (2019). Tobacco-Related Deaths [Dataset]. https://gimi9.com/dataset/data-gov_tobacco-related-deaths/
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    Dataset updated
    Feb 11, 2019
    Description

    An analysis of tobacco-related deaths in the City of Austin by demographic. Includes visualizations, examples, and statistics.

  8. Smoking death rate in 1990-2017

    • kaggle.com
    zip
    Updated Aug 27, 2022
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    Bahadir Umut Iscimen (2022). Smoking death rate in 1990-2017 [Dataset]. https://www.kaggle.com/datasets/bahadirumutiscimen/smoking-death-rate-in-19902017/discussion
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    zip(95106 bytes)Available download formats
    Dataset updated
    Aug 27, 2022
    Authors
    Bahadir Umut Iscimen
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Smoking is so common, and feels so familiar, that it can be hard to grasp just how large the impact is. Every year, around 8 million people die prematurely as a result of smoking.1 This means that about one in seven deaths worldwide are due to smoking.2 Millions more live in poor health because of it.

    Smoking primarily contributes to early deaths through heart diseases and cancers. Globally, more than one in five cancer deaths are attributed to smoking.

    This means tobacco kills more people every day than terrorism kills in a year.

    Smoking is a particularly large problem in high-income countries. There, cigarette smoking is the most important cause of preventable disease and death. This is especially true for men: they account for almost three-quarters of deaths from smoking.

    The impact of smoking is devastating on the individual level. In case you need some motivation to stop smoking: The life expectancy of those who smoke regularly is about 10 years lower than that of non-smokers.

    It’s also devastating on the aggregate level. In the past 30 years more than 200 million have died from smoking. Looking into the future, epidemiologists Prabhat Jha and Richard Peto estimate that “If current smoking patterns persist, tobacco will kill about 1 billion people this century.”

    It is on us to prevent this.

  9. Percentage of tobacco smokers worldwide from 2000 to 2025

    • statista.com
    Updated Jan 25, 2024
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    Statista (2024). Percentage of tobacco smokers worldwide from 2000 to 2025 [Dataset]. https://www.statista.com/statistics/937294/tobacco-smoking-prevalence-globally/
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    Dataset updated
    Jan 25, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    Worldwide
    Description

    It is projected that the prevalence of tobacco smoking will be 15.4 percent by 2025, a decrease from a prevalence of 27 percent in the year 2000. This statistic depicts the prevalence of tobacco smoking worldwide from 2000 to 2020 and projections for 2025.

  10. f

    Table_1_A drink equals how many cigarettes? Equating mortality risks from...

    • frontiersin.figshare.com
    docx
    Updated Feb 27, 2024
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    Harpreet Jaswal; Ivneet Sohi; Jürgen Rehm; Samuel Churchill; Adam Sherk; Tim Stockwell; Christine Levesque; Nitika Sanger; Hanie Edalati; Peter R. Butt; Catherine Paradis; Kevin D. Shield (2024). Table_1_A drink equals how many cigarettes? Equating mortality risks from alcohol and tobacco use in Canada.DOCX [Dataset]. http://doi.org/10.3389/fpubh.2024.1331190.s001
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    docxAvailable download formats
    Dataset updated
    Feb 27, 2024
    Dataset provided by
    Frontiers
    Authors
    Harpreet Jaswal; Ivneet Sohi; Jürgen Rehm; Samuel Churchill; Adam Sherk; Tim Stockwell; Christine Levesque; Nitika Sanger; Hanie Edalati; Peter R. Butt; Catherine Paradis; Kevin D. Shield
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Canada
    Description

    ObjectiveTo quantify and communicate risk equivalencies for alcohol-and tobacco-attributable mortality by comparing per standard drinks consumed to per number of cigarettes smoked in Canada.MethodsAlcohol-and tobacco-attributable premature deaths (≤75 years of age) and years of life lost (YLL) were estimated using a lifetime risk modeling approach. Alcohol-attributable death statistics were obtained from the 2023 Canadian Guidance on Alcohol and Health data source. Tobacco-attributable death statistics were derived from the Mortality Population Risk Tool (MPoRT) model.ResultsThe risk of alcohol use on premature death and YLL increased non-linearly with the number of drinks consumed, while the risk for tobacco use on these two measures increased linearly with the number of cigarettes smoked. Males who consumed 5 drinks/day—a standard drink contains 13.45 grams of alcohol in Canada—had an equivalent risk as smoking 4.9 cigarettes/day (when modeling for premature death) and 5.1 cigarettes/day (when modeling for YLL). Females who consumed 5 drinks/day experienced an equivalent risk as smoking 4.2 cigarettes/day for premature deaths and YLL. At all levels of alcohol consumption females and males who consumed

  11. 🚬Global Smoking Trends & Brand (2010-2024)🌍

    • kaggle.com
    zip
    Updated Mar 24, 2025
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    Atharva Soundankar (2025). 🚬Global Smoking Trends & Brand (2010-2024)🌍 [Dataset]. https://www.kaggle.com/datasets/atharvasoundankar/global-smoking-trends-and-brand-popularity
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    zip(4528 bytes)Available download formats
    Dataset updated
    Mar 24, 2025
    Authors
    Atharva Soundankar
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    📊

    This dataset provides a detailed analysis of smoking trends worldwide, covering essential metrics such as:
    - Total smokers and smoking prevalence rates
    - Cigarette consumption and brand market share
    - Tobacco taxation and smoking ban policies
    - Smoking-related deaths and gender-based smoking patterns

    Spanning data from 2010 to 2024, this dataset offers valuable insights for health research, policy evaluation, and data-driven decision-making.

    📊 Column Descriptions

    Column NameDescription
    🌍 CountryName of the country.
    📅 YearYear of data collection (2010-2024).
    🚬 Total Smokers (Millions)Estimated number of smokers in millions.
    📊 Smoking Prevalence (%)Percentage of the population that smokes.
    👨‍🦰 Male Smokers (%)Percentage of male smokers.
    👩 Female Smokers (%)Percentage of female smokers.
    📦 Cigarette Consumption (Billion Units)Total cigarette consumption in billions.
    🏆 Top Cigarette Brand in CountryMost popular cigarette brand in each country.
    📈 Brand Market Share (%)Market share of the top cigarette brand.
    Smoking-Related DeathsEstimated number of deaths attributed to smoking.
    💰 Tobacco Tax Rate (%)Percentage of tax applied to tobacco products.
    🚷 Smoking Ban PolicyType of smoking ban in the country (None, Partial, Comprehensive).
  12. d

    Canadian Tobacco Use Monitoring Survey, 2000: Annual, Person

    • search.dataone.org
    Updated Dec 28, 2023
    + more versions
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    Statistics Canada. Special Surveys Division (2023). Canadian Tobacco Use Monitoring Survey, 2000: Annual, Person [Dataset]. http://doi.org/10.5683/SP3/CXTOV2
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    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Statistics Canada. Special Surveys Division
    Time period covered
    Jan 1, 2000 - Dec 1, 2000
    Area covered
    Canada
    Description

    The Canadian Tobacco Use Monitoring Survey was conducted for Health Canada to provide data on tobacco use and related issues. The primary objective of the survey is to track changes in smoking status, especially for population most at risk, such as the 15-24 years olds. The survey will allow Health Canada to estimate smoking prevalence for age groups 15-24 and 25+ by province and by gender on a semi-annual basis. The survey is presented in three cycles: Cycle 1 - taken Feb-June 2000; Cycle 2 - taken July-Dec 2000; and Cycle Annual - combining both time periods. Each cycle contains two files; household data, and person data.

  13. f

    Data from: Burden of Total and Cause-Specific Mortality Related to Tobacco...

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Apr 22, 2014
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    You, San-Lin; Yang, Gong; Boffetta, Paolo; Nishino, Yoshikazu; Kim, Dong-Hyun; Oze, Isao; Ahsan, Habibul; Tsugane, Shoichiro; Pan, Wen-Harn; McLerran, Dale F.; Koh, Woon-Puay; He, Jiang; Fan, Jin-Hu; Wang, Renwei; Yuan, Jian-Min; Kakizaki, Masako; Shu, Xiao-Ou; Chuang, Shao-Yuan; Lee, Jung Eun; Gu, Dongfeng; Rolland, Betsy A.; Inoue, Manami; Park, Sue K.; Irie, Fujiko; Xiang, Yong-Bing; Tsuji, Ichiro; Sauvaget, Catherine; Ohishi, Waka; Watanabe, Takashi; Fu, Zhenming; Ozasa, Kotaro; Ahn, Yoon-Ok; Sinha, Rashmi; Kang, Daehee; Yoo, Keun-Young; Sawada, Norie; Chen, Yu; Butler, Lesley M.; Chen, Chien-Jen; Tanaka, Hideo; Ramadas, Kunnambath; Potter, John D.; Feng, Ziding; Gao, Yu-Tang; Pednekar, Mangesh Suryakant; Thornquist, Mark; Sairenchi, Toshimi; Parvez, Faruque; Tamakoshi, Akiko; Gupta, Prakash Chandra; Qiao, You-Lin; Zheng, Wei; Matsuo, Keitaro; Grant, Eric J.; Sugawara, Yumi; Shen, Chen-Yang (2014). Burden of Total and Cause-Specific Mortality Related to Tobacco Smoking among Adults Aged ≥45 Years in Asia: A Pooled Analysis of 21 Cohorts [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001198965
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    Dataset updated
    Apr 22, 2014
    Authors
    You, San-Lin; Yang, Gong; Boffetta, Paolo; Nishino, Yoshikazu; Kim, Dong-Hyun; Oze, Isao; Ahsan, Habibul; Tsugane, Shoichiro; Pan, Wen-Harn; McLerran, Dale F.; Koh, Woon-Puay; He, Jiang; Fan, Jin-Hu; Wang, Renwei; Yuan, Jian-Min; Kakizaki, Masako; Shu, Xiao-Ou; Chuang, Shao-Yuan; Lee, Jung Eun; Gu, Dongfeng; Rolland, Betsy A.; Inoue, Manami; Park, Sue K.; Irie, Fujiko; Xiang, Yong-Bing; Tsuji, Ichiro; Sauvaget, Catherine; Ohishi, Waka; Watanabe, Takashi; Fu, Zhenming; Ozasa, Kotaro; Ahn, Yoon-Ok; Sinha, Rashmi; Kang, Daehee; Yoo, Keun-Young; Sawada, Norie; Chen, Yu; Butler, Lesley M.; Chen, Chien-Jen; Tanaka, Hideo; Ramadas, Kunnambath; Potter, John D.; Feng, Ziding; Gao, Yu-Tang; Pednekar, Mangesh Suryakant; Thornquist, Mark; Sairenchi, Toshimi; Parvez, Faruque; Tamakoshi, Akiko; Gupta, Prakash Chandra; Qiao, You-Lin; Zheng, Wei; Matsuo, Keitaro; Grant, Eric J.; Sugawara, Yumi; Shen, Chen-Yang
    Area covered
    Asia
    Description

    BackgroundTobacco smoking is a major risk factor for many diseases. We sought to quantify the burden of tobacco-smoking-related deaths in Asia, in parts of which men's smoking prevalence is among the world's highest.Methods and FindingsWe performed pooled analyses of data from 1,049,929 participants in 21 cohorts in Asia to quantify the risks of total and cause-specific mortality associated with tobacco smoking using adjusted hazard ratios and their 95% confidence intervals. We then estimated smoking-related deaths among adults aged ≥45 y in 2004 in Bangladesh, India, mainland China, Japan, Republic of Korea, Singapore, and Taiwan—accounting for ∼71% of Asia's total population. An approximately 1.44-fold (95% CI = 1.37–1.51) and 1.48-fold (1.38–1.58) elevated risk of death from any cause was found in male and female ever-smokers, respectively. In 2004, active tobacco smoking accounted for approximately 15.8% (95% CI = 14.3%–17.2%) and 3.3% (2.6%–4.0%) of deaths, respectively, in men and women aged ≥45 y in the seven countries/regions combined, with a total number of estimated deaths of ∼1,575,500 (95% CI = 1,398,000–1,744,700). Among men, approximately 11.4%, 30.5%, and 19.8% of deaths due to cardiovascular diseases, cancer, and respiratory diseases, respectively, were attributable to tobacco smoking. Corresponding proportions for East Asian women were 3.7%, 4.6%, and 1.7%, respectively. The strongest association with tobacco smoking was found for lung cancer: a 3- to 4-fold elevated risk, accounting for 60.5% and 16.7% of lung cancer deaths, respectively, in Asian men and East Asian women aged ≥45 y.ConclusionsTobacco smoking is associated with a substantially elevated risk of mortality, accounting for approximately 2 million deaths in adults aged ≥45 y throughout Asia in 2004. It is likely that smoking-related deaths in Asia will continue to rise over the next few decades if no effective smoking control programs are implemented.Please see later in the article for the Editors' Summary

  14. d

    Statistics on Smoking (replaced by Statistics on Public Health)

    • digital.nhs.uk
    pdf, xlsx, zip
    Updated Jun 15, 2017
    + more versions
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    (2017). Statistics on Smoking (replaced by Statistics on Public Health) [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/statistics-on-smoking
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    xlsx(533.6 kB), pdf(1.4 MB), pdf(340.8 kB), pdf(148.4 kB), pdf(277.9 kB), zip(193.3 kB)Available download formats
    Dataset updated
    Jun 15, 2017
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Jan 1, 1980 - Mar 31, 2017
    Area covered
    United Kingdom
    Description

    This statistical report presents a range of information on smoking which is drawn together from a variety of sources. The report aims to present a broad picture of health issues relating to smoking in England and covers topics such as smoking prevalence, habits, behaviours and attitudes among adults and school children, smoking-related ill health and mortality and smoking-related costs. The topics covered include: Part 1: Smoking related ill health Part 2: Prescription items used to help people stop smoking Part 3: Smoking patterns in adults Part 4: Smoking patterns in children Part 5: Availability and affordability of tobacco Part 6: Behaviour and attitudes to smoking Each part provides an overview of the key findings on these topics, as well as providing links to sources of further information and relevant documents. This report contains data and information previously published by NHS Digital, Department of Health, the Office for National Statistics and Her Majesty's Revenue and Customs. The report also includes new analyses carried out by NHS Digital.

  15. V

    Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) -...

    • data.virginia.gov
    • datahub.hhs.gov
    • +6more
    csv, json, rdf, xsl
    Updated Aug 25, 2023
    + more versions
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    Centers for Disease Control and Prevention (2023). Smoking-Attributable Mortality, Morbidity, and Economic Costs (SAMMEC) - Smoking-Attributable Expenditures (SAE) [Dataset]. https://data.virginia.gov/dataset/smoking-attributable-mortality-morbidity-and-economic-costs-sammec-smoking-attributable-expendi
    Explore at:
    json, rdf, csv, xslAvailable download formats
    Dataset updated
    Aug 25, 2023
    Dataset provided by
    Centers for Disease Control and Prevention
    Description

    2005-2009. SAMMEC - Smoking-Attributable Mortality, Morbidity, and Economic Costs. Smoking-attributable expenditures (SAEs) are excess health care expenditures attributable to cigarette smoking by type of service among adults ages 19 years of age and older.

  16. Local tobacco control profiles: March 2023 update

    • gov.uk
    Updated Mar 7, 2023
    + more versions
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    Office for Health Improvement and Disparities (2023). Local tobacco control profiles: March 2023 update [Dataset]. https://www.gov.uk/government/statistics/local-tobacco-control-profiles-march-2023-update
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    Dataset updated
    Mar 7, 2023
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Office for Health Improvement and Disparities
    Description

    The https://fingertips.phe.org.uk/profile/tobacco-control">local tobacco control profiles data update for March 2023 has been published by the Office for Health Improvement and Disparities (OHID).

    These profiles have been designed to help local government and health services to assess the effect of tobacco use on their local populations. The data is presented in an interactive tool that allows users to view them in a user-friendly format.

    This update contains:

    • mortality from lung cancer
    • mortality from chronic obstructive pulmonary disease (COPD)

    View previous local tobacco control updates.

  17. Number of tobacco-attributable deaths worldwide in 2019, by region and sex

    • statista.com
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    Statista, Number of tobacco-attributable deaths worldwide in 2019, by region and sex [Dataset]. https://www.statista.com/statistics/1324766/number-death-from-tobacco-use-by-region-and-sex/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    Worldwide
    Description

    In 2019, there were around 2.6 million deaths among men in the Western Pacific region that could be attributed to tobacco. This statistic illustrates the number of tobacco-attributable deaths in 2019 worldwide, by region and sex.

  18. Smoking profile: October 2024 update

    • gov.uk
    Updated Oct 1, 2024
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    Office for Health Improvement and Disparities (2024). Smoking profile: October 2024 update [Dataset]. https://www.gov.uk/government/statistics/smoking-profile-october-2024-update
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    Dataset updated
    Oct 1, 2024
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Office for Health Improvement and Disparities
    Description

    These profiles have been designed to help local government and health services to assess the effect of smoking on their local populations. The data is presented in an interactive tool that allows users to view it in a user-friendly format.

    The smoking profiles data update for October 2024 contains:

    • smoking prevalence in adults (aged 18 and over) - current smokers (APS)
    • smoking prevalence in adults (18 and over) - ex-smokers (APS)
    • smoking prevalence in adults (18 and over) - never smokers (APS)
    • smoking prevalence among adults aged 18 to 64 in routine and manual occupations (APS)
    • odds of current smoking status among adults aged 18 to 64 with a routine and manual occupation (APS)
    • emergency hospital admissions for chronic obstructive pulmonary disease (aged 35 and over)
    • mortality from oral cancer

    View previous smoking profiles updates

  19. Distribution of tobacco-attributable deaths worldwide in 2019, by HDI

    • statista.com
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    Statista, Distribution of tobacco-attributable deaths worldwide in 2019, by HDI [Dataset]. https://www.statista.com/statistics/1324733/death-distribution-from-tobacco-attributable-use-by-hdi/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    Worldwide
    Description

    In 2019, around 47 percent of tobacco-attributable deaths worldwide were in countries with a high Human Development Index, while countries with low HDI represented only about 2.7 percent of all tobacco-attributable deaths that year. This statistic illustrates the distribution of tobacco-attributable deaths worldwide in 2019, by HDI.

  20. Local tobacco control profiles for England: July 2021

    • gov.uk
    Updated Jul 6, 2021
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    Public Health England (2021). Local tobacco control profiles for England: July 2021 [Dataset]. https://www.gov.uk/government/statistics/local-tobacco-control-profiles-for-england-july-2021
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    Dataset updated
    Jul 6, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Public Health England
    Area covered
    England
    Description

    The local tobacco control profiles (LTCP data update for July 2021 has been published by Public Health England (PHE).

    These profiles have been designed to help local government and health services to assess the effect of tobacco use on their local populations. The data are presented in an interactive tool that allows users to view them in a user-friendly format.

    This update contains:

    • smoking attributable mortality (new method)
    • smoking attributable deaths from heart disease (new method)
    • smoking attributable deaths from stroke (new method)
    • smoking attributable deaths from cancer (new method)
    • smoking attributable hospital admissions (new method)

    The short statistical summary slideset can now be found in the LTCP tool in the https://fingertips.phe.org.uk/profile/tobacco-control/supporting-information/presentations">our reports and presentations section of the ‘further information’ page.

    View previous LTCP updates.

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Statista, Countries with the highest share of tobacco-related deaths among males in 2019 [Dataset]. https://www.statista.com/statistics/279456/male-death-percentage-from-tobacco-use/
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Countries with the highest share of tobacco-related deaths among males in 2019

Explore at:
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2019
Area covered
Worldwide
Description

In 2019, China was the country with the highest share of deaths among males due to tobacco use worldwide. At that time, around ** percent of all deaths among males in China could be attributed to tobacco use. This statistic shows the countries with the highest percentage of male deaths due to tobacco use worldwide in 2019.

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