Annual data on the proportion of adults in Great Britain who smoke cigarettes, cigarette consumption, the proportion who have never smoked cigarettes and the proportion of smokers who have quit by sex and age over time.

Annual data and annual historic data on the proportion of adults who currently smoke, the proportion of ex-smokers and the proportion of those who have never smoked, by sex and age.

Cigarette smoking among adults including the proportion of people who smoke, their demographic breakdowns, changes over time, and e-cigarettes.

This report contains results from the latest survey of secondary school pupils in England in years 7 to 11 (mostly aged 11 to 15), focusing on smoking, drinking and drug use. It covers a range of topics including prevalence, habits, attitudes, and wellbeing. This survey is usually run every two years, however, due to the impact that the Covid pandemic had on school opening and attendance, it was not possible to run the survey as initially planned in 2020; instead it was delivered in the 2021 school year. In 2021 additional questions were also included relating to the impact of Covid. They covered how pupil's took part in school learning in the last school year (September 2020 to July 2021), and how often pupil's met other people outside of school and home. Results of analysis covering these questions have been presented within parts of the report and associated data tables. It includes this summary report showing key findings, excel tables with more detailed outcomes, technical appendices and a data quality statement. An anonymised record level file of the underlying data on which users can carry out their own analysis will be made available via the UK Data Service later in 2022 (see link below).

This dataset contains three smoking related indicators. Rates of self reported four-week smoking quitters Smoking quit rates per 100,000 available from the HNA. - These quarterly reports present provisional results from the monitoring of the NHS Stop Smoking Services (NHS SSS) in England. This report includes information on the number of people setting a quit date and the number who successfully quit at the 4 week follow-up. Data for London presented with England comparator. PCT level data available from NHS. Number of Deaths Attributable to Smoking per 100,000 population by borough Deaths attributable to smoking, directly age-sex standardised rate for persons aged 35 years +. Causes of death considered to be related to smoking are: various cancers, cardiovascular and respiratory diseases, and diseases of the digestive system. Numbers of adults smoking by borough Prevalence of smoking among persons aged 18 years and over. - Population who currently smoke, are ex-smokers, or never smoked by borough. This includes cigarette, cigar or pipe smokers. Data by age is also provided for London with a UK comparator. Relevant links: http://www.hscic.gov.uk/Article/1685 http://www.apho.org.uk/default.aspx?QN=HP_DATATABLES

United Kingdom UK: Smoking Prevalence: Total: % of Adults: Aged 15+ data was reported at 22.300 % in 2016. This records a decrease from the previous number of 23.100 % for 2015. United Kingdom UK: Smoking Prevalence: Total: % of Adults: Aged 15+ data is updated yearly, averaging 25.500 % from Dec 2000 (Median) to 2016, with 9 observations. The data reached an all-time high of 38.200 % in 2000 and a record low of 22.300 % in 2016. United Kingdom UK: Smoking Prevalence: Total: % of Adults: Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Health Statistics. Prevalence of smoking is the percentage of men and women ages 15 and over who currently smoke any tobacco product on a daily or non-daily basis. It excludes smokeless tobacco use. The rates are age-standardized.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

This online study examined the impact on smoking and vaping craving of exposure to smoking (i.e., tobacco cigarette), vaping (i.e., cigalike and tank system device), or neutral cues. Participants (n=1120 recruited, n=936 for analysis) included UK adult current or former smokers who either vaped or did not vape. They were randomised to view one of four cue videos. The primary outcome was urge to smoke; secondary outcomes were urge to vape, desire to smoke and vape, as well as intention to quit smoking or remain abstinent from smoking. We found no evidence that exposure to videos of smoking or vaping cued smoking urges, and no evidence of interaction effects between cue exposure and smoking and vaping status. The study highlights the potential limitations of using an online setting for assessing craving. The study protocol was preregistered on the Open Science Framework: https://osf.io/a6jpu/.PLEASE NOTE: Any values that are listed as NULL in the data sheet are either missing values or not applicable values.

Contains a set of data tables for each part of the Smoking, Drinking and Drug Use among Young People in England, 2021 report

Annual data on the proportion of adults in Great Britain who use e-cigarettes, by different characteristics such as age, sex and cigarette smoking status.

This dataset captures the percentage of mothers in England who are recorded as smokers at the time of delivery. It is a key maternal health indicator, reflecting the prevalence of smoking among pregnant women at the point of childbirth. The data is collected through the NHS England Statistics on Women's Smoking at Time of Delivery (SATOD) and is used to monitor progress in reducing smoking during pregnancy.

Rationale

Smoking during pregnancy poses significant health risks to both the mother and the baby, including increased chances of miscarriage, premature birth, and low birth weight. Reducing the percentage of mothers who smoke at the time of delivery is a public health priority. This indicator supports efforts to improve maternal and child health outcomes by tracking smoking prevalence and informing targeted interventions.

Numerator

The numerator is the number of women known to be smokers at the time of delivery, as recorded in maternity services data.

Denominator

The denominator is also the number of women known to be smokers at the time of delivery, as reported in the same dataset. This suggests the indicator is expressed as a percentage of known cases, excluding unknowns.

Caveats

This indicator is based on observational data and may be subject to measurement bias. Additionally, known IT issues have led to high levels of unknown smoking status in the source data. These issues are expected to improve over time as data systems become more robust and consistent.

External References

More information is available from the following source:

Statistics on Women's Smoking Status at Time of Delivery - NHS Digital

Click here to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.

This dataset includes information regarding proportion who smoke cigarettes, cigarette consumption, the proportion who have never smoked cigarettes and proportion of smokers who have quit by sex/age over time in Great Britain from 1974 to 2019.

This dataset presents the prevalence of smoking among adults aged 18 and over who have a long-term mental health condition. It is derived from the GP Patient Survey (GPPS) and reflects the proportion of individuals within this group who self-report as current smokers. The indicator provides insight into smoking behaviours among a population known to experience significant health inequalities.

Rationale

Adults with long-term mental health conditions are more likely to smoke than the general population, contributing to poorer physical health outcomes and reduced life expectancy. Reducing smoking prevalence in this group is a public health priority. This indicator supports efforts to monitor and address health disparities through targeted smoking cessation interventions.

Numerator

The numerator is the sum of individual weighted counts of respondents who self-report as current smokers (responses 3 or 4 to question Q55) and who also report having a long-term mental health condition (Q31_14 = true) in the GP Patient Survey.

Denominator

The denominator is the sum of individual weighted counts of all respondents who provided valid responses to both the smoking status (Q55) and long-term medical conditions (Q31) questions in the GP Patient Survey.

Caveats

No specific caveats are noted for this indicator. However, as with all self-reported survey data, responses may be subject to reporting bias or inaccuracies in self-assessment.

External References

More information is available from the following source:

Fingertips Public Health Profiles

Click here to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.

Smoking is a leading preventable cause of chronic diseases, including circulatory disease, cancer, and chronic lung conditions, and worsens outcomes in acute illnesses. Despite public health efforts, 13-16% of the UK population still smoke, with higher rates among hospital admissions, especially in older adults who also experience poorer outcomes.

Influenza can cause severe complications, such as ICU admission and death, particularly in older adults and those with chronic respiratory conditions. Smoking further increases the risks of mortality and ICU admission, yet UK-specific data on seasonal influenza in this context remains limited.

This dataset includes 13,524 influenza-related hospital admissions from January 2018 to July 2024, focusing on individuals aged 65 and older. It contains demographics, serial physiology, clinical assessments, diagnostic codes (ICD-10 and SNOMED-CT), initial presentations, ventilation, ICU transfers, prescriptions, and outcomes. While a dataset for all ages is available, this subset emphasizes older adults, who are at greater risk of severe complications, particularly from smoking.

Geography: The West Midlands has a population of 6 million & includes a diverse ethnic & socio-economic mix. UHB is one of the largest NHS Trusts in England, providing direct acute services & specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds & > 120 ITU bed capacity. UHB runs a fully electronic healthcare record (PICS; Birmingham Systems), a shared primary & secondary care record (Your Care Connected) & a patient portal “My Health”.

Data set availability: Data access is available via the PIONEER Hub for projects which will benefit the public or patients. This can be by developing a new understanding of disease, by providing insights into how to improve care, or by developing new models, tools, treatments, or care processes. Data access can be provided to NHS, academic, commercial, policy and third sector organisations. Applications from SMEs are welcome. There is a single data access process, with public oversight provided by our public review committee, the Data Trust Committee. Contact pioneer@uhb.nhs.uk or visit www.pioneerdatahub.co.uk for more details.

Available supplementary data: Matched controls; ambulance and community data. Unstructured data (images). We can provide the dataset in OMOP and other common data models and can build synthetic data to meet bespoke requirements.

Available supplementary support: Analytics, model build, validation & refinement; A.I. support. Data partner support for ETL (extract, transform & load) processes. Bespoke and “off the shelf” Trusted Research Environment build and run. Consultancy with clinical, patient & end-user and purchaser access/ support. Support for regulatory requirements. Cohort discovery. Data-driven trials and “fast screen” services to assess population size.

BackgroundSmoking is a risk factor for chronic obstructive pulmonary disease (COPD). Few studies have assessed the causal relationship between smoking and COPD using Mendelian randomization.MethodsExposure and outcome datasets were obtained from the IEU Open GWAS project (https://gwas.mrcieu.ac.uk/). The exposure data set includes smoking (ever smoke, smoking/smokers in household, exposure to tobacco smoke at home). The outcome data set includes COPD susceptibility and acute COPD admissions. The main methods of Mendelian randomization analysis are weighted median method and MR-Egger method. Heterogeneity and polymorphism analyses were performed to ensure the accuracy of the results.Reslutsever smoke increased the risk of COPD prevalence, and ever smoke and smoking/smokers in household increased the risk of acute COPD admission. ConclusionTherefore, we should enhance the management of nonpharmacological prescription of COPD to reduce the individual incidence.

BackgroundChildren's exposure to secondhand smoke (SHS) has been causally linked to a number of childhood morbidities and mortalities. Over 50% of UK children whose parents are smokers are regularly exposed to SHS at home. No previous review has identified the factors associated with children's SHS exposure in the home.AimTo identify by systematic review, the factors which are associated with children's SHS exposure in the home, determined by parent or child reports and/or biochemically validated measures including cotinine, carbon monoxide or home air particulate matter.MethodsElectronic searches of MEDLINE, EMBASE, PsychINFO, CINAHL and Web of Knowledge to July 2014, and hand searches of reference lists from publications included in the review were conducted.FindingsForty one studies were included in the review. Parental smoking, low socioeconomic status and being less educated were all frequently and consistently found to be independently associated with children's SHS exposure in the home. Children whose parents held more negative attitudes towards SHS were less likely to be exposed. Associations were strongest for parental cigarette smoking status; compared to children of non-smokers, those whose mothers or both parents smoked were between two and 13 times more likely to be exposed to SHS.ConclusionMultiple factors are associated with child SHS exposure in the home; the best way to reduce child SHS exposure in the home is for smoking parents to quit. If parents are unable or unwilling to stop smoking, they should instigate smoke-free homes. Interventions targeted towards the socially disadvantaged parents aiming to change attitudes to smoking in the presence of children and providing practical support to help parents smoke outside the home may be beneficial.

This dataset comprises polygon data showing Smoke Control areas within East Staffordshire. The dataset is based on paper plans created as a consequence of the Clean Air Act 1956. Smoke Control Areas are areas where people can only use smokeless fuels in domestic chimneys.

Age-standardised rate of mortality from oral cancer (ICD-10 codes C00-C14) in persons of all ages and sexes per 100,000 population.RationaleOver the last decade in the UK (between 2003-2005 and 2012-2014), oral cancer mortality rates have increased by 20% for males and 19% for females1Five year survival rates are 56%. Most oral cancers are triggered by tobacco and alcohol, which together account for 75% of cases2. Cigarette smoking is associated with an increased risk of the more common forms of oral cancer. The risk among cigarette smokers is estimated to be 10 times that for non-smokers. More intense use of tobacco increases the risk, while ceasing to smoke for 10 years or more reduces it to almost the same as that of non-smokers3. Oral cancer mortality rates can be used in conjunction with registration data to inform service planning as well as comparing survival rates across areas of England to assess the impact of public health prevention policies such as smoking cessation.References:(1) Cancer Research Campaign. Cancer Statistics: Oral – UK. London: CRC, 2000.(2) Blot WJ, McLaughlin JK, Winn DM et al. Smoking and drinking in relation to oral and pharyngeal cancer. Cancer Res 1988; 48: 3282-7. (3) La Vecchia C, Tavani A, Franceschi S et al. Epidemiology and prevention of oral cancer. Oral Oncology 1997; 33: 302-12.Definition of numeratorAll cancer mortality for lip, oral cavity and pharynx (ICD-10 C00-C14) in the respective calendar years aggregated into quinary age bands (0-4, 5-9,…, 85-89, 90+). This does not include secondary cancers or recurrences. Data are reported according to the calendar year in which the cancer was diagnosed.Counts of deaths for years up to and including 2019 have been adjusted where needed to take account of the MUSE ICD-10 coding change introduced in 2020. Detailed guidance on the MUSE implementation is available at: https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/articles/causeofdeathcodinginmortalitystatisticssoftwarechanges/january2020Counts of deaths for years up to and including 2013 have been double adjusted by applying comparability ratios from both the IRIS coding change and the MUSE coding change where needed to take account of both the MUSE ICD-10 coding change and the IRIS ICD-10 coding change introduced in 2014. The detailed guidance on the IRIS implementation is available at: https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/bulletins/impactoftheimplementationofirissoftwareforicd10causeofdeathcodingonmortalitystatisticsenglandandwales/2014-08-08Counts of deaths for years up to and including 2010 have been triple adjusted by applying comparability ratios from the 2011 coding change, the IRIS coding change and the MUSE coding change where needed to take account of the MUSE ICD-10 coding change, the IRIS ICD-10 coding change and the ICD-10 coding change introduced in 2011. The detailed guidance on the 2011 implementation is available at https://webarchive.nationalarchives.gov.uk/ukgwa/20160108084125/http://www.ons.gov.uk/ons/guide-method/classifications/international-standard-classifications/icd-10-for-mortality/comparability-ratios/index.htmlDefinition of denominatorPopulation-years (aggregated populations for the three years) for people of all ages, aggregated into quinary age bands (0-4, 5-9, …, 85-89, 90+)

This dataset shows Smoke Control areas within Bristol.

Smoke Control Areas are areas where people can only use smokeless fuels in domestic chimneys.