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      Rapid growth in disposable e‐cigarette vaping among young adults in Great Britain from 2021 to 2022: a repeat cross‐sectional survey

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          Abstract

          Aims

          To estimate recent trends in the prevalence of disposable e‐cigarette vaping in Great Britain, overall and across ages, and to measure these trends in the context of changes in smoking and vaping prevalence.

          Design

          The Smoking Toolkit Study, a monthly representative cross‐sectional survey.

          Setting

          Great Britain.

          Participants

          A total of 36 876 adults (≥ 18 years) completed telephone interviews between January 2021 and April 2022.

          Measurements

          Current e‐cigarette vapers were asked which type of device they mainly use. We estimated age‐specific monthly time trends in the prevalence of current disposable e‐cigarette use among vapers and inhaled nicotine use (vaping/smoking), smoking and vaping among adults.

          Findings

          From January 2021 to April 2022, there was an 18‐fold increase in the percentage of vapers who used disposables, rising from 1.2 to 22.2% [prevalence ratio (PR) = 18.0; 95% compatibility interval (CI) = 9.18–49.0]. Growth in disposable e‐cigarette vaping was most pronounced in younger adults (interaction P‐value = 0.013): for example, the percentage of 18‐year‐old vapers using disposables rose from 0.4 to 54.8% (PR = 129; 95% CI = 28.5–4520), while it rose from 2.1 to 10.0% (PR = 4.73; 95% CI = 2.06–23.6) among 45‐year‐old vapers. However, the overall percentage of people currently using any inhaled nicotine remained stable over time both among all adults (20.0 versus 21.2%; PR = 1.06; 95% CI = 0.92–1.22) and among 18‐year‐olds (30.2 versus 29.7%; PR = 0.99; 95% CI = 0.80–1.22). In 18‐year‐olds, vaping prevalence grew (11.3 versus 17.7%; PR = 1.57; 95% CI = 1.12–2.29), and there was imprecise evidence for a decline in smoking (24.5 versus 19.5%; PR = 0.80; 95% CI = 0.63–1.04). In 45‐year‐olds, there was relatively little change in vaping (PR = 1.08; 95% CI = 0.88–1.33) or smoking prevalence (PR = 1.01; 95% CI = 0.88–1.16).

          Conclusions

          Use of disposable e‐cigarettes in Great Britain grew rapidly between 2021 and 2022, especially among younger adults, but the overall prevalence of inhaled nicotine use was stable over time. Most young adult vapers in Great Britain now use disposable products.

          Related collections

          Most cited references10

          • Record: found
          • Abstract: found
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          Is Open Access

          Notes from the Field: E-Cigarette Use Among Middle and High School Students — National Youth Tobacco Survey, United States, 2021

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            Semantic and cognitive tools to aid statistical science: replace confidence and significance by compatibility and surprise

            Background Researchers often misinterpret and misrepresent statistical outputs. This abuse has led to a large literature on modification or replacement of testing thresholds and P-values with confidence intervals, Bayes factors, and other devices. Because the core problems appear cognitive rather than statistical, we review some simple methods to aid researchers in interpreting statistical outputs. These methods emphasize logical and information concepts over probability, and thus may be more robust to common misinterpretations than are traditional descriptions. Methods We use the Shannon transform of the P-value p, also known as the binary surprisal or S-value s = −log2(p), to provide a measure of the information supplied by the testing procedure, and to help calibrate intuitions against simple physical experiments like coin tossing. We also use tables or graphs of test statistics for alternative hypotheses, and interval estimates for different percentile levels, to thwart fallacies arising from arbitrary dichotomies. Finally, we reinterpret P-values and interval estimates in unconditional terms, which describe compatibility of data with the entire set of analysis assumptions. We illustrate these methods with a reanalysis of data from an existing record-based cohort study. Conclusions In line with other recent recommendations, we advise that teaching materials and research reports discuss P-values as measures of compatibility rather than significance, compute P-values for alternative hypotheses whenever they are computed for null hypotheses, and interpret interval estimates as showing values of high compatibility with data, rather than regions of confidence. Our recommendations emphasize cognitive devices for displaying the compatibility of the observed data with various hypotheses of interest, rather than focusing on single hypothesis tests or interval estimates. We believe these simple reforms are well worth the minor effort they require.
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              Splines for trend analysis and continuous confounder control.

                Author and article information

                Contributors
                h.tattan-birch@ucl.ac.uk
                Journal
                Addiction
                Addiction
                10.1111/(ISSN)1360-0443
                ADD
                Addiction (Abingdon, England)
                John Wiley and Sons Inc. (Hoboken )
                0965-2140
                1360-0443
                11 September 2022
                February 2023
                : 118
                : 2 ( doiID: 10.1111/add.v118.2 )
                : 382-386
                Affiliations
                [ 1 ] Department of Behavioural Science and Health University College London London UK
                [ 2 ] SPECTRUM Consortium London UK
                [ 3 ] Addictions and Inclusion, Office for Health Improvement and Disparities London UK
                Author notes
                [*] [* ] Correspondence

                Harry Tattan‐Birch, Institute of Epidemiology and Health Care, 1–19 Torrington Place, Fitzrovia, London WC1E 7HB, UK.

                Email: h.tattan-birch@ 123456ucl.ac.uk

                Author information
                https://orcid.org/0000-0001-9410-8343
                https://orcid.org/0000-0001-5658-6168
                https://orcid.org/0000-0002-2961-8838
                https://orcid.org/0000-0002-2797-5428
                Article
                ADD16044
                10.1111/add.16044
                10086805
                36065820
                165e11e0-0c1f-4528-8a1d-b9317c49d384
                © 2022 The Authors. Addiction published by John Wiley & Sons Ltd on behalf of Society for the Study of Addiction.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 06 May 2022
                : 24 August 2022
                Page count
                Figures: 1, Tables: 1, Pages: 5, Words: 3069
                Funding
                Funded by: Cancer Research UK , doi 10.13039/501100000289;
                Award ID: PRCRPG‐Nov21\100002
                Funded by: The Office for Health Improvement and Disparities
                Award ID: 558585/180737
                Funded by: The UK Research Prevention Partnership
                Award ID: MR/S037519/1
                Categories
                Data Insight
                Data Insight
                Custom metadata
                2.0
                February 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.7 mode:remove_FC converted:11.04.2023

                Clinical Psychology & Psychiatry
                disposable e‐cigarettes,electronic nicotine delivery systems,elf bar,ends,england,puff bar,scotland,vaping,wales,young adults

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