4 datasets found
  1. d

    Smoking, Drinking and Drug Use among Young People in England, 2021: Data...

    • digital.nhs.uk
    Updated Sep 6, 2022
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    (2022). Smoking, Drinking and Drug Use among Young People in England, 2021: Data tables [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/smoking-drinking-and-drug-use-among-young-people-in-england/2021
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    Dataset updated
    Sep 6, 2022
    License

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

    Area covered
    England
    Description

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

  2. d

    Data from: Smoking, Drinking and Drug Use among Young People in England

    • digital.nhs.uk
    Updated Sep 6, 2022
    + more versions
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    (2022). Smoking, Drinking and Drug Use among Young People in England [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/smoking-drinking-and-drug-use-among-young-people-in-england
    Explore at:
    Dataset updated
    Sep 6, 2022
    License

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

    Time period covered
    Sep 1, 2021 - Feb 28, 2022
    Area covered
    England
    Description

    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).

  3. Data from: Sample demographics.

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jul 26, 2023
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    Alannah Hillmer; Caroul Chawar; Amel Lamri; Jacqueline Hudson; Flavio Kapczinski; Luciano Minuzzi; David C. Marsh; Lehana Thabane; Andrew D. Paterson; Zainab Samaan (2023). Sample demographics. [Dataset]. http://doi.org/10.1371/journal.pone.0289059.t001
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    xlsAvailable download formats
    Dataset updated
    Jul 26, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Alannah Hillmer; Caroul Chawar; Amel Lamri; Jacqueline Hudson; Flavio Kapczinski; Luciano Minuzzi; David C. Marsh; Lehana Thabane; Andrew D. Paterson; Zainab Samaan
    License

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

    Description

    BackgroundIndividuals with an Opioid Use Disorder (OUD) have increased rates of cannabis use in comparison to the general population. Research on the short- and long-term impacts of cannabis use in OUD patients has been inconclusive. A genetic component may contribute to cannabis cravings.AimsIdentify genetic variants associated with cannabis use through Genome-wide Association Study (GWAS) methods and investigate a Polygenic Risk Score (PRS). In addition, we aim to identify any sex differences in effect size for genetic variants reaching or nearing genome-wide significance in the GWAS.MethodsThe study outcomes of interest were: regular cannabis use (yes/no) (n = 2616), heaviness of cannabis use (n = 1293) and cannabis cravings (n = 836). Logistic and linear regressions were preformed, respectively, to test the association between genetic variants and each outcome, regular cannabis use and heaviness of cannabis use. GWAS summary statistics from a recent large meta-GWAS investigating cannabis use disorder were used to conduct PRS’s. Findings are limited to a European ancestry sample.ResultsNo genome-wide significant associations were found. Rs1813412 (chromosome 17) for regular cannabis use and rs62378502 (chromosome 5) for heaviness of cannabis use were approaching genome-wide significance. Both these SNPs were nominally significant (p

  4. PRS best model fit for each outcome for CUD.

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jul 26, 2023
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    Alannah Hillmer; Caroul Chawar; Amel Lamri; Jacqueline Hudson; Flavio Kapczinski; Luciano Minuzzi; David C. Marsh; Lehana Thabane; Andrew D. Paterson; Zainab Samaan (2023). PRS best model fit for each outcome for CUD. [Dataset]. http://doi.org/10.1371/journal.pone.0289059.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jul 26, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Alannah Hillmer; Caroul Chawar; Amel Lamri; Jacqueline Hudson; Flavio Kapczinski; Luciano Minuzzi; David C. Marsh; Lehana Thabane; Andrew D. Paterson; Zainab Samaan
    License

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

    Description

    BackgroundIndividuals with an Opioid Use Disorder (OUD) have increased rates of cannabis use in comparison to the general population. Research on the short- and long-term impacts of cannabis use in OUD patients has been inconclusive. A genetic component may contribute to cannabis cravings.AimsIdentify genetic variants associated with cannabis use through Genome-wide Association Study (GWAS) methods and investigate a Polygenic Risk Score (PRS). In addition, we aim to identify any sex differences in effect size for genetic variants reaching or nearing genome-wide significance in the GWAS.MethodsThe study outcomes of interest were: regular cannabis use (yes/no) (n = 2616), heaviness of cannabis use (n = 1293) and cannabis cravings (n = 836). Logistic and linear regressions were preformed, respectively, to test the association between genetic variants and each outcome, regular cannabis use and heaviness of cannabis use. GWAS summary statistics from a recent large meta-GWAS investigating cannabis use disorder were used to conduct PRS’s. Findings are limited to a European ancestry sample.ResultsNo genome-wide significant associations were found. Rs1813412 (chromosome 17) for regular cannabis use and rs62378502 (chromosome 5) for heaviness of cannabis use were approaching genome-wide significance. Both these SNPs were nominally significant (p

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(2022). Smoking, Drinking and Drug Use among Young People in England, 2021: Data tables [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/smoking-drinking-and-drug-use-among-young-people-in-england/2021

Smoking, Drinking and Drug Use among Young People in England, 2021: Data tables

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50 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Sep 6, 2022
License

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

Area covered
England
Description

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

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