28 datasets found
  1. z

    Melanoma registration rates, 1948–2015 - Dataset - data.govt.nz - discover...

    • portal.zero.govt.nz
    Updated Oct 18, 2017
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    zero.govt.nz (2017). Melanoma registration rates, 1948–2015 - Dataset - data.govt.nz - discover and use data [Dataset]. https://portal.zero.govt.nz/77d6ef04507c10508fcfc67a7c24be32/dataset/melanoma-registration-rates-19482015
    Explore at:
    Dataset updated
    Oct 18, 2017
    License

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

    Description

    New Zealand and Australia have the world’s highest rates of melanoma, the most serious type of skin cancer. Melanoma is mainly caused by exposure to ultraviolet (UV) light, usually from the sun. New Zealand has naturally high UV levels, especially during summer. The risk of developing melanoma is affected by factors such as skin colour and type, family history, and the amount of sun exposure. Melanoma can affect people at any age, but the chance of developing a melanoma increases with age. We report on age-standardised rates of melanoma to account for the increasing proportion of older people in our population. Our data on melanoma registrations come from the New Zealand Cancer Registry and the Ministry of Health's Mortality Collection. The passing of the Cancer Registry Act 1993 and Cancer Registry Regulations 1994 led to significant improvements in data quality and coverage (Ministry of Health, 2013). A sharp increase in registrations after 1993 is likely to have been related to these legislative and regulatory changes; for this reason we have only analysed data from 1996. 2014–15 data are provisional and subject to change. More information on this dataset and how it relates to our environmental reporting indicators and topics can be found in the attached data quality pdf.

  2. z

    Melanoma registration rates, by age group, 1996–2015 - Dataset -...

    • portal.zero.govt.nz
    Updated Oct 18, 2017
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    portal.zero.govt.nz (2017). Melanoma registration rates, by age group, 1996–2015 - Dataset - data.govt.nz - discover and use data [Dataset]. https://portal.zero.govt.nz/77d6ef04507c10508fcfc67a7c24be32/dataset/melanoma-registration-rates-by-age-group-19962015
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    Dataset updated
    Oct 18, 2017
    License

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

    Description

    This csv reports melanoma registration rates, per 100,000 population, by age groups (eg 0–24 years old, 25–44 years old). New Zealand and Australia have the world’s highest rates of melanoma, the most serious type of skin cancer. Melanoma is mainly caused by exposure to ultraviolet (UV) light, usually from the sun. New Zealand has naturally high UV levels, especially during summer. The risk of developing melanoma is affected by factors such as skin colour and type, family history, and the amount of sun exposure. Melanoma can affect people at any age, but the chance of developing a melanoma increases with age. We report on age-standardised rates of melanoma to account for the increasing proportion of older people in our population. Our data on melanoma registrations come from the New Zealand Cancer Registry and the Ministry of Health's Mortality Collection. The passing of the Cancer Registry Act 1993 and Cancer Registry Regulations 1994 led to significant improvements in data quality and coverage (Ministry of Health, 2013). A sharp increase in registrations after 1993 is likely to have been related to these legislative and regulatory changes; for this reason we have only analysed data from 1996. 2014–15 data are provisional and subject to change. More information on this dataset and how it relates to our environmental reporting indicators and topics can be found in the attached data quality pdf.

  3. Melanoma Cancer Death Rate (per 100,000), New Jersey, by year: Beginning...

    • healthdata.nj.gov
    • data.wu.ac.at
    application/rdfxml +5
    Updated Dec 9, 2020
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    Death Certificate Database, Office of Vital Statistics and Registry, New Jersey Department of Health (2020). Melanoma Cancer Death Rate (per 100,000), New Jersey, by year: Beginning 2010 [Dataset]. https://healthdata.nj.gov/w/3dmc-bmt7/_variation_?cur=DEvDAB_4K1B&from=root
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    csv, tsv, xml, application/rssxml, application/rdfxml, jsonAvailable download formats
    Dataset updated
    Dec 9, 2020
    Dataset provided by
    New Jersey Department of Healthhttps://www.nj.gov/health/
    Authors
    Death Certificate Database, Office of Vital Statistics and Registry, New Jersey Department of Health
    Area covered
    New Jersey
    Description

    Rate: Number of deaths due melanoma cancer per 100,000 Population.

    Definition: Number of deaths per 100,000 with malignant melanoma of the skin as the underlying cause of death (ICD-10 code: C43).

    Data Sources:

    (1) Centers for Disease Control and Prevention, National Center for Health Statistics. Compressed Mortality File. CDC WONDER On-line Database accessed at http://wonder.cdc.gov/cmf-icd10.html

    (2) Death Certificate Database, Office of Vital Statistics and Registry, New Jersey Department of Health

    (3) Population Estimates, State Data Center, New Jersey Department of Labor and Workforce Development

  4. SIIM-ISIC Melanoma Classification Image Stats

    • kaggle.com
    zip
    Updated Jul 8, 2020
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    Laura Fink (2020). SIIM-ISIC Melanoma Classification Image Stats [Dataset]. https://www.kaggle.com/datasets/allunia/siimisic-melanoma-classification-image-stats/code
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    zip(7470777 bytes)Available download formats
    Dataset updated
    Jul 8, 2020
    Authors
    Laura Fink
    License

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

    Description

    Dataset

    This dataset was created by Laura Fink

    Released under CC0: Public Domain

    Contents

  5. a

    AIHW - Cancer Incidence and Mortality Across Regions (CIMAR) - Persons...

    • data.aurin.org.au
    Updated Jun 28, 2023
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    (2023). AIHW - Cancer Incidence and Mortality Across Regions (CIMAR) - Persons Mortality (SA4) 2009-2013 - Dataset - AURIN [Dataset]. https://data.aurin.org.au/dataset/au-govt-aihw-aihw-cimar-mortality-persons-sa4-2009-13-sa4
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    Dataset updated
    Jun 28, 2023
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    This dataset presents the footprint of cancer mortality statistics in Australia for all cancers combined and the 6 top cancer groupings (colorectal, leukaemia, lung, lymphoma, melanoma of the skin and pancreas) and their respective ICD-10 codes. The data spans the years 2009-2013 and is aggregated to Statistical Area Level 4 (SA4) from the 2011 Australian Statistical Geography Standard (ASGS). Mortality data refer to the number of deaths due to cancer in a given time period. Cancer deaths data are sourced from the Australian Institute of Health and Welfare (AIHW) 2013 National Mortality Database (NMD).

  6. d

    Cancer Registration Statistics, England 2020

    • digital.nhs.uk
    Updated Oct 20, 2022
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    (2022). Cancer Registration Statistics, England 2020 [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/cancer-registration-statistics
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    Dataset updated
    Oct 20, 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

    This publication reports on newly diagnosed cancers registered in England in addition to cancer deaths registered in England during 2020. It includes this summary report showing key findings, spreadsheet tables with more detailed estimates, and a methodology document.

  7. r

    AIHW - Cancer Incidence and Mortality Across Regions (CIMAR) - Males...

    • researchdata.edu.au
    null
    Updated Jun 28, 2023
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    Government of the Commonwealth of Australia - Australian Institute of Health and Welfare (2023). AIHW - Cancer Incidence and Mortality Across Regions (CIMAR) - Males Incidence (PHN) 2006-2010 [Dataset]. https://researchdata.edu.au/aihw-cancer-incidence-2006-2010/2738799
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    nullAvailable download formats
    Dataset updated
    Jun 28, 2023
    Dataset provided by
    Australian Urban Research Infrastructure Network (AURIN)
    Authors
    Government of the Commonwealth of Australia - Australian Institute of Health and Welfare
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Area covered
    Description

    This dataset presents the footprint of male cancer incidence statistics in Australia for all cancers combined and the 11 top cancer groupings (bladder, colorectal, head and neck, kidney, leukaemia, lung, lymphoma, melanoma of the skin, pancreas, prostate and stomach) and their respective ICD-10 codes. The data spans the years 2006-2010 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS).

    Incidence data refer to the number of new cases of cancer diagnosed in a given time period. It does not refer to the number of people newly diagnosed (because one person can be diagnosed with more than one cancer in a year). Cancer incidence data come from the Australian Institute of Health and Welfare (AIHW) 2012 Australian Cancer Database (ACD).

    For further information about this dataset, please visit:

    Please note:

    • AURIN has spatially enabled the original data using the Department of Health - PHN Areas.

    • Due to changes in geographic classifications over time, long-term trends are not available.

    • Values assigned to "n.p." in the original data have been removed from the data.

    • The Australian and jurisdictional totals include people who could not be assigned a PHN. The number of people who could not be assigned a PHN is less than 1% of the total.

    • The Australian total also includes residents of Other Territories (Cocos (Keeling) Islands, Christmas Island and Jervis Bay Territory).

    • The ACD records all primary cancers except for basal and squamous cell carcinomas of the skin (BCCs and SCCs). These cancers are not notifiable diseases and are not collected by the state and territory cancer registries.

    • The diseases coded to ICD-10 codes D45-D46, D47.1 and D47.3-D47.5, which cover most of the myelodysplastic and myeloproliferative cancers, were not considered cancer at the time the ICD-10 was first published and were not routinely registered by all Australian cancer registries. The ACD contains all cases of these cancers which were diagnosed from 1982 onwards and which have been registered but the collection is not considered complete until 2003 onwards.

    • Note that the incidence data presented are for 2006-2010 because 2011 and 2012 data for NSW and ACT were not able to be provided for the 2012 ACD.

  8. z

    Melanoma registration trends, 1996–2013 - Dataset - data.govt.nz - discover...

    • portal.zero.govt.nz
    Updated Oct 18, 2017
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    zero.govt.nz (2017). Melanoma registration trends, 1996–2013 - Dataset - data.govt.nz - discover and use data [Dataset]. https://portal.zero.govt.nz/77d6ef04507c10508fcfc67a7c24be32/dataset/melanoma-registration-trends-19962013
    Explore at:
    Dataset updated
    Oct 18, 2017
    License

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

    Description

    New Zealand and Australia have the world’s highest rates of melanoma, the most serious type of skin cancer. Melanoma is mainly caused by exposure to ultraviolet (UV) light, usually from the sun. New Zealand has naturally high UV levels, especially during summer. The risk of developing melanoma is affected by factors such as skin colour and type, family history, and the amount of sun exposure. Melanoma can affect people at any age, but the chance of developing a melanoma increases with age. We report on age-standardised rates of melanoma to account for the increasing proportion of older people in our population. Our data on melanoma registrations come from the New Zealand Cancer Registry and the Ministry of Health's Mortality Collection. The passing of the Cancer Registry Act 1993 and Cancer Registry Regulations 1994 led to significant improvements in data quality and coverage (Ministry of Health, 2013). A sharp increase in registrations after 1993 is likely to have been related to these legislative and regulatory changes; for this reason we have only analysed data from 1996. Trend direction was assessed using the Theil-Sen estimator and the Two One-Sided Test (TOST) for equivalence at the 95% confidence level. More information on this dataset and how it relates to our environmental reporting indicators and topics can be found in the attached data quality pdf.

  9. a

    AIHW - Cancer Incidence and Mortality Across Regions (CIMAR) - Males...

    • data.aurin.org.au
    Updated Jun 28, 2023
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    (2023). AIHW - Cancer Incidence and Mortality Across Regions (CIMAR) - Males Mortality (SA4) 2009-2013 - Dataset - AURIN [Dataset]. https://data.aurin.org.au/dataset/au-govt-aihw-aihw-cimar-mortality-males-sa4-2009-13-sa4
    Explore at:
    Dataset updated
    Jun 28, 2023
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    This dataset presents the footprint of male cancer mortality statistics in Australia for all cancers combined and the 11 top cancer groupings (bladder, colorectal, head and neck, kidney, leukaemia, lung, lymphoma, melanoma of the skin, pancreas, prostate and stomach) and their respective ICD-10 codes. The data spans the years 2009-2013 and is aggregated to Statistical Area Level 4 (SA4) from the 2011 Australian Statistical Geography Standard (ASGS). Mortality data refer to the number of deaths due to cancer in a given time period. Cancer deaths data are sourced from the Australian Institute of Health and Welfare (AIHW) 2013 National Mortality Database (NMD). For further information about this dataset, please visit: Australian Institute of Health and Welfare - Cancer Incidence and Mortality Across Regions (CIMAR) books. Australian Institute of Health and Welfare - 2013 National Mortality Database. Please note: AURIN has spatially enabled the original data.

  10. One–year net cancer survival for Bladder, Breast, Colorectal, Kidney, Lung,...

    • ons.gov.uk
    • cy.ons.gov.uk
    xls
    Updated Jun 29, 2016
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    Office for National Statistics (2016). One–year net cancer survival for Bladder, Breast, Colorectal, Kidney, Lung, Melanoma, Ovary, Prostate and Uterus, by stage at diagnosis [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/conditionsanddiseases/datasets/oneyearnetcancersurvivalforbladderbreastcolorectalkidneylungmelanomaovaryprostateanduterusbystageatdiagnosis
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    xlsAvailable download formats
    Dataset updated
    Jun 29, 2016
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Survival estimates for adults diagnosed with cancer, by stage, for years 2012, 2013, 2014 and 2015, England

  11. Hospital admissions: Summary statistics

    • data.europa.eu
    html
    Updated Oct 30, 2021
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    Office for National Statistics (2021). Hospital admissions: Summary statistics [Dataset]. https://data.europa.eu/data/datasets/hospital_admissions_-_summary_statistics?locale=bg
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    htmlAvailable download formats
    Dataset updated
    Oct 30, 2021
    Dataset authored and provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    This dataset provides counts of Finished Admission Episodes (FAE) at MSOA level and higher geographies. The information covers the following specified diagnosis, cause and operative procedures: 1) Coronary Heart Disease; 2) Cerbrovascular Disease (including Stroke); 3) Cancer (excluding non-melanoma skin cancer); 4) Falls (basic accidental falls); 5) Coronary Artery Bypass Graft (CABG) and Percutaneous Transluminal Coronary Angioplasty (PTCA) (Heart); 6) Hip Replacement; 7) Knee Replacement; 8) Cataracts. Source: The Information Centre for health and social care (IC) Publisher: Neighbourhood Statistics Geographies: Local Authority District (LAD), Government Office Region (GOR), National Geographic coverage: England Time coverage: 2004/05 to 2007/08 Type of data: Administrative data

  12. a

    AIHW - Cancer Mortality (PHN) 2011-2015 - Dataset - AURIN

    • data.aurin.org.au
    Updated Jun 28, 2023
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    (2023). AIHW - Cancer Mortality (PHN) 2011-2015 - Dataset - AURIN [Dataset]. https://data.aurin.org.au/dataset/au-govt-aihw-phn-cancer-mortality-2011-2015-phn2015
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    Dataset updated
    Jun 28, 2023
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    This dataset presents the footprint of cancer mortality data in Australia for all cancers combined, and six selected cancers (female breast cancer, colorectal cancer, cervical cancer, lung cancer, melanoma of the skin, and prostate cancer) with their respective ICD-10 codes. The data spans the years 2011 to 2015 and is aggregated to 2015 PHN boundaries based on the 2011 Australian Statistical Geography Standard (ASGS). The source of the mortality data is the Australia Cancer Database, the National Mortality Database and the National Death Index. Cause of Death Unit Record File data are provided to the AIHW by the Registries of Births, Deaths and Marriages and the National Coronial Information System (managed by the Victorian Department of Justice) and include cause of death coded by the Australian Bureau of Statistics (ABS). The data are maintained by AIHW in the National Mortality Database. For more information, please visit the data source: AIHW - Cancer incidence and mortality in Australia by small geographic areas. Please note: AURIN has spatially enabled the original data using the Department of Health - PHN Areas. Colorectal deaths presented are underestimates. For further information on complexities in the measurement of bowel cancer in Australia, refer to the Australian Bureau of Statistics.

  13. c

    Health Survey Northern Ireland, 2012-2013

    • datacatalogue.cessda.eu
    Updated Nov 28, 2024
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    Northern Ireland (2024). Health Survey Northern Ireland, 2012-2013 [Dataset]. http://doi.org/10.5255/UKDA-SN-8051-1
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    Dataset updated
    Nov 28, 2024
    Dataset provided by
    Department of Health
    Authors
    Northern Ireland
    Time period covered
    Apr 1, 2012 - Mar 31, 2013
    Area covered
    Ireland, Northern Ireland
    Variables measured
    Individuals, National
    Measurement technique
    Face-to-face interview: Computer-assisted (CAPI/CAMI), Telephone interview: Computer-assisted (CATI)
    Description

    Abstract copyright UK Data Service and data collection copyright owner.

    The Health Survey Northern Ireland (HSNI) was commissioned by the Department of Health in Northern Ireland and the Central Survey Unit (CSU) of the Northern Ireland Statistics and Research Agency (NISRA) carried out the survey on their behalf. This survey series has been running on a continuous basis since April 2010 with separate modules for different policy areas included in different financial years. It covers a range of health topics that are important to the lives of people in Northern Ireland. The HSNI replaces the previous Northern Ireland Health and Social Wellbeing Survey (available under SNs 4589, 4590 and 5710).

    Adult BMI, height and weight measurements, accompanying demographic and derived variables, geography, and a BMI weighting variable, are available in separate datasets for each survey year.

    Further information is available from the Northern Ireland Statistics and Research Agency and the Department of Health (Northern Ireland) survey webpages.


    The Health Survey Northern Ireland, 2012-2013 provides a source of information on a wide range of health issues relevant to Northern Ireland. The information collected is pursuing the development of policies aimed at improving the health and well-being of the Northern Ireland population.


    Main Topics:

    The 2012-2013 questionnaire asked questions on the following topics:
  14. basic household information
  15. general health
  16. specific medical conditions and visits to hospital
  17. GP, medicines and pharmacy modules
  18. changes made to improve health
  19. views on health and social care services
  20. skin cancer prevention module
  21. child health
  22. carers
  23. personal and public involvement
  24. smoking and drinking
  25. religion, ethnic group and sexual identity
  26. smoke alarms/detectors and carbon monoxide alarms
  27. self-completion of EQ5D, breasfeeding and sexual health

    Standard Measures:
  28. 12-item EQ5D health Questionnaire

  • List of relevant studies using DL and ML algorithms for skin cancer...

    • figshare.com
    xls
    Updated Mar 20, 2024
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    Ahmad Naeem; Tayyaba Anees (2024). List of relevant studies using DL and ML algorithms for skin cancer identification. [Dataset]. http://doi.org/10.1371/journal.pone.0297667.t004
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    xlsAvailable download formats
    Dataset updated
    Mar 20, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Ahmad Naeem; Tayyaba Anees
    License

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

    Description

    List of relevant studies using DL and ML algorithms for skin cancer identification.

  • z

    Day of year column ozone Dobson spectrophotometer measurements (1987–2013) -...

    • portal.zero.govt.nz
    Updated Feb 2, 2020
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    zero.govt.nz (2020). Day of year column ozone Dobson spectrophotometer measurements (1987–2013) - Dataset - data.govt.nz - discover and use data [Dataset]. https://portal.zero.govt.nz/77d6ef04507c10508fcfc67a7c24be32/dataset/day-of-year-column-ozone-dobson-spectrophotometer-measurements-19872013
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    Dataset updated
    Feb 2, 2020
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    Ozone (O3) is a gas that is of interest in two regions of Earth’s atmosphere – at ground level and in the upper atmosphere (stratosphere). Stratospheric ozone absorbs ultraviolet (UV) rays from the sun and protects Earth from harmful levels of UV. Exposure to these UV rays has been linked to skin cancer. Monitoring variations in stratospheric ozone concentrations is important in New Zealand as we have high rates of skin cancers. This ozone data for Lauder was taken with Dobson spectrophotometer (72) from 1987 to 2013. Measurements are in Dobson units (DU). One DU represents the amount of ozone molecules needed to produce a 0.01mm layer of pure ozone. These datasets contain annual measurements by DOY and DOY statistics of mean, standard deviation, minimum and maximum. Further information can be found in: Liley, B, Querel, B, & McKenzie, R (2014). Measurements of Ozone and UV for New Zealand. Prepared for the Ministry for the Environment, Wellington. Available at https://data.mfe.govt.nz/x/LoPyPo on the Ministry for the Environment dataservice (https://data.mfe.govt.nz/). This dataset relates to the "Ozone concentrations" measure on the Environmental Indicators, Te taiao Aotearoa website.

  • f

    Diagram S1 - Tooth Loss and Risk of Head and Neck Cancer: A Meta-Analysis

    • figshare.com
    • plos.figshare.com
    doc
    Updated Jun 1, 2023
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    Ren-Sheng Wang; Xue-Ying Hu; Wan-Jie Gu; Zhen Hu; Bo Wei (2023). Diagram S1 - Tooth Loss and Risk of Head and Neck Cancer: A Meta-Analysis [Dataset]. http://doi.org/10.1371/journal.pone.0071122.s001
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    docAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Ren-Sheng Wang; Xue-Ying Hu; Wan-Jie Gu; Zhen Hu; Bo Wei
    License

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

    Description

    The flow diagram of this meta-analysis. (DOC)

  • f

    Samples of dermoscopic images before and after SMOTE TOMEK.

    • plos.figshare.com
    xls
    Updated Mar 20, 2024
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    Ahmad Naeem; Tayyaba Anees (2024). Samples of dermoscopic images before and after SMOTE TOMEK. [Dataset]. http://doi.org/10.1371/journal.pone.0297667.t002
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    xlsAvailable download formats
    Dataset updated
    Mar 20, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Ahmad Naeem; Tayyaba Anees
    License

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

    Description

    Samples of dermoscopic images before and after SMOTE TOMEK.

  • f

    Statistics of in vivo tumor experiments.

    • plos.figshare.com
    • figshare.com
    xls
    Updated May 31, 2023
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    Jasper G. van den Boorn; Debby Konijnenberg; Esther P. M. Tjin; Daisy I. Picavet; Nico J. Meeuwenoord; Dmitri V. Filippov; J. P. Wietze van der Veen; Jan D. Bos; Cornelis J. M. Melief; Rosalie M. Luiten (2023). Statistics of in vivo tumor experiments. [Dataset]. http://doi.org/10.1371/journal.pone.0010626.t001
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jasper G. van den Boorn; Debby Konijnenberg; Esther P. M. Tjin; Daisy I. Picavet; Nico J. Meeuwenoord; Dmitri V. Filippov; J. P. Wietze van der Veen; Jan D. Bos; Cornelis J. M. Melief; Rosalie M. Luiten
    License

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

    Description

    ns: not significant (considered if p>0.05). Exp.: experiment.nt: not tested. TFS: tumor-free survival.*: Unpaired t-test. CI: CpG & imiquimod.**: Logrank test for survival (endpoint tumor size max 200 mm2). MIC: monobenzone, imiquimod & CpG.1:Day of tumor size comparison (last day on which experimental animals were all alive).For Exp. 2 see Fig. 1A/B, for Exp. 3 see Fig. 3C (upper panel), for Exp. 4 see Fig. 3A/B and C (lower panel),

  • d

    OPCS Omnibus Survey, February 1993 - Dataset - B2FIND

    • b2find.dkrz.de
    Updated Oct 31, 2023
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    (2023). OPCS Omnibus Survey, February 1993 - Dataset - B2FIND [Dataset]. https://b2find.dkrz.de/dataset/593dc0eb-bba9-5fb4-a2b5-4c10feffc874
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    Dataset updated
    Oct 31, 2023
    Description

    Abstract copyright UK Data Service and data collection copyright owner.The Opinions and Lifestyle Survey (formerly known as the ONS Opinions Survey or Omnibus) is an omnibus survey that began in 1990, collecting data on a range of subjects commissioned by both the ONS internally and external clients (limited to other government departments, charities, non-profit organisations and academia).Data are collected from one individual aged 16 or over, selected from each sampled private household. Personal data include data on the individual, their family, address, household, income and education, plus responses and opinions on a variety of subjects within commissioned modules. The questionnaire collects timely data for research and policy analysis evaluation on the social impacts of recent topics of national importance, such as the coronavirus (COVID-19) pandemic and the cost of living, on individuals and households in Great Britain. From April 2018 to November 2019, the design of the OPN changed from face-to-face to a mixed-mode design (online first with telephone interviewing where necessary). Mixed-mode collection allows respondents to complete the survey more flexibly and provides a more cost-effective service for customers. In March 2020, the OPN was adapted to become a weekly survey used to collect data on the social impacts of the coronavirus (COVID-19) pandemic on the lives of people of Great Britain. These data are held in the Secure Access study, SN 8635, ONS Opinions and Lifestyle Survey, Covid-19 Module, 2020-2022: Secure Access. From August 2021, as coronavirus (COVID-19) restrictions were lifting across Great Britain, the OPN moved to fortnightly data collection, sampling around 5,000 households in each survey wave to ensure the survey remains sustainable. The OPN has since expanded to include questions on other topics of national importance, such as health and the cost of living. For more information about the survey and its methodology, see the ONS OPN Quality and Methodology Information webpage.Secure Access Opinions and Lifestyle Survey dataOther Secure Access OPN data cover modules run at various points from 1997-2019, on Census religion (SN 8078), cervical cancer screening (SN 8080), contact after separation (SN 8089), contraception (SN 8095), disability (SNs 8680 and 8096), general lifestyle (SN 8092), illness and activity (SN 8094), and non-resident parental contact (SN 8093). See Opinions and Lifestyle Survey: Secure Access for details. Main Topics:Each month's questionnaire consists of two elements: core questions, covering demographic information, are asked each month together with non-core questions that vary from month to month. The non-core questions for this month were: Mortgage Arrears (Module 2): source of mortgage, if any, and whether behind in payments, and if so reasons for falling behind. Also question on whether bought from a Right to Buy scheme. Health Screening (Module 4): whether prefer to have a health test carried out by pharmacist or by a doctor and reasons why; attitude to self-testing kits. Contraception (Module 6): method of birth control used and reasons for choice; changes in methods used; the use of Family Planning Clinics; awareness of emergency methods for use after intercourse has taken place. Investment Income (Module 7a): ownership of shares and income from shares, bank accounts and building society accounts. Census Question and GP Visits (Module 22): census questions about number of rooms available to the household; long-term illness; state of health; recent consultations with a doctor and visits to a hospital. Sensible Drinking (Module 40): whether drinks alcohol and if so what type; whether knows how much a unit of alcohol is; how much alcohol consumed in a week; awareness of recommended units as the safe, sensible weekly limit for men and women. Smoking (Module 60): whether smokes cigarettes now or has ever smoked; how many cigarettes smoked; type of cigarettes smoked (filter, non-filter or hand-rolled). Repairs and Redecorating (Module 61): total expenditure that household paid in the last month for maintenance, decoration, repairs or replacements to a contractor or someone else outside the household. Skin Cancer (Module 62): awareness of skin cancer and risks associated with excessive exposure to the sun; views on importance of sun protection measures. Leasehold Accommodation (Module 63): home owners of leasehold property asked how long did lease have to run when property was bought; how long lease has to run now; ownership of freehold. Multi-stage stratified random sample Face-to-face interview

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    Kvinnors livsstil och hälsa (WLH) - 1991 - Dataset - B2FIND

    • b2find.dkrz.de
    Updated Nov 4, 2023
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    (2023). Kvinnors livsstil och hälsa (WLH) - 1991 - Dataset - B2FIND [Dataset]. https://b2find.dkrz.de/dataset/3178a687-5280-59a5-aca2-b5845c8f4f72
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    Dataset updated
    Nov 4, 2023
    Description

    Oral contraceptives, use of hormone replacement therapy, dietary habits and other lifestyle factors affect the risk for cancer, cardiovascular diseases and other chronic diseases in young women. Starting in 1991, a comprehensive questionnaire was mailed to 96,000 Swedish women aged 29-49 years. Approximately 50,000 completed questionnaires were returned providing detailed information on a wide range of lifestyle factors with a focus on oral contraceptive use, diet, UV light exposure, and reproductive factors. This study is strictly coordinated with a similar study among 60,000 young women in Norway; apart from the dietary component, the questionnaires are identical and joint analyses have been conducted. In 2003, a second questionnaire was sent to all women to update information on lifestyle, and hormonal factors as well as to assess mental health. Currently analysis is ongoing for several lifestyle factors and cancers of the breast, ovarium, endometrial, colorectal, skin, skin melanoma, lymphomas, as well as cardiovascular outcomes (myocardial infarction, haemorragic and ischaemic stroke), psychiatric diseases, sleeping disorders and overall mortality. Several analyses have been performed during the last years on different exposures, such as oral contraceptives, BMI, changes in body size and shape, UV radiation exposure, alcohol consumption, smoking, and risk of different cancer sites and overall mortality. Purpose: The overall aim of Women's lifestyle and health cohort is to examine lifestyle factors and health outcomes such as cancer, cardiovascular diseases and some chronic diseases. The baseline questionnaire was mailed to 96,000 Swedish women aged 29-49 years, in 1991. The questionnaire was answered by 49,259 women. P-piller, användning av hormonersättningsbehandling, matvanor och andra livsstilsfaktorer påverkar risken för cancer, hjärt- och kärlsjukdomar och andra kroniska sjukdomar hos unga kvinnor. År 1991 skickades ett omfattande frågeformulär till 96 000 svenska kvinnor i åldern 29-49 år. Cirka 50 000 kvinnor besvarade enkäten som ger detaljerad information om en rad olika livsstilsfaktorer med fokus på användning av p-piller, kost, exponering av UV-ljus, och reproduktiva faktorer. Denna studie är strikt samordnad med en liknande studie bland 60 000 unga kvinnor i Norge; bortsett från delen som avser diet är enkäterna identiska och gemensamma analyser har genomförts. Under 2003 skickades en andra enkät till alla kvinnor för att uppdatera informationen om livsstilsfaktorer, hormonella faktorer, och för att bedöma den psykiska hälsan. För närvarande pågår analyser för flera livsstilsfaktorer och cancer i bröst, ovarium, livmoder, kolorektal, hud, melanom, lymfom, samt kardiovaskulära händelser (hjärtinfarkt, blödnings-och ischemisk stroke), psykiatriska sjukdomar, sömnstörningar och generell dödlighet. Under de senaste åren har flera analyser utförts av olika exponeringar, såsom p-piller, BMI, förändringar i kroppens storlek och form, exponering av UV-strålning, alkoholkonsumtion, rökning, risk för olika cancerformer och generell dödlighet. Syfte: Det övergripande syftet med studiekohorten Kvinnors livsstil och hälsa (WLH) är att studera hur olika livsstilsfaktorer påverkar risken för cancer, hjärt-kärlsjukdomar och andra kroniska sjukdomar hos unga kvinnor. Vid baslinjemätningen 1991 skickades formulär till 96 000 svenska kvinnor i åldern 29-49 år. Formuläret besvarades av 49 259 kvinnor. Probability: Simple random Sannolikhetsurval: obundet slumpmässigt urval Probability Sannolikhetsurval Self-administered questionnaire Självadministrerat frågeformulär Access Befolkningskarakter... Befolkningsstatistik Behavior and Behavi... Behavioral Discipli... Behavioral Sciences Beteende och beteen... Beteendevetenskap Beteendevetenskapli... Breast Diseases Breast Neoplasms Bröstsjukdomar Brösttumörer Cardiovascular Dise... Chemical Actions an... Chronic Disease Contraceptive Agents Contraceptives Data Collection Datainsamling Demografi Demography Diet Disease Disease Attributes Dödlighet Environment and Pub... Epidemiologic Measu... Epidemiologic Methods Epidemiologiska met... Epidemiologiska mät... Farmakologisk verkan Female Folkhälsa Folkhälsovetenskap Food Fysiologiska effekt... Fysiologiska fenomen Global Health HEALTH Health Health Care Evaluat... Health Care Quality Health Occupations Health Sciences Health Services Adm... Hjärt kärlsjukdomar Hormone Substitutes Hormoner Hormones Hud och bindvävssju... Hudsjukdomar HÄLSA Hälsa Hälso och sjukvårds... Hälsovetenskap Information Management Information Science Informationsbehandling Informationsvetenskap Investigative Techn... Kemisk verkan och a... Konceptionsregleran... Kost Kronisk sjukdom Kvinnor Life Style Livsstil Medical and Health ... Medicin Medicin och hälsove... Medicine Mental Disorders Miljö och folkhälsa Mortality Neoplasms Neoplasms by Site Nervous System Dise... Nervsystemets sjukd... Neurologic Manifest... Neurologiska manife... Nutritional Physiol... Näringsfysiologi Oral P piller Pathologic Processes Pathological Condit... Patologiska processer Patologiska tillstånd Personer Persons Pharmacologic Actions Physiological Effec... Physiological Pheno... Population Characte... Preventivmedel Preventivmedel för ... Psychiatry Psychology Psykiatri Psykiska störningar Psykologi Public Health Quality of Health Care Reproductive Contro... Samhällsvetenskap Signs and Symptoms Sjukdom Sjukdomssymtom Skin Diseases Skin and Connective... Sleep Wake Disorders Social Social Medicine and... Social Sciences Socialpsykologi Sömn och vakenhetss... Tecken och symtom Terapeutisk användning Therapeutic Uses Tumörer Utredningsmetoder Utvärderingsmetoder... Vital Statistics Vårdkvalitet Vårdyrken Women and Evaluation and Hormone Antagon... and Nutrition global hälsa hormonersättningar ... lokalisering mat och näring socialmedicin och e... tecken och symtom tillgång och utvärd...

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    zero.govt.nz (2017). Melanoma registration rates, 1948–2015 - Dataset - data.govt.nz - discover and use data [Dataset]. https://portal.zero.govt.nz/77d6ef04507c10508fcfc67a7c24be32/dataset/melanoma-registration-rates-19482015

    Melanoma registration rates, 1948–2015 - Dataset - data.govt.nz - discover and use data

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    Dataset updated
    Oct 18, 2017
    License

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

    Description

    New Zealand and Australia have the world’s highest rates of melanoma, the most serious type of skin cancer. Melanoma is mainly caused by exposure to ultraviolet (UV) light, usually from the sun. New Zealand has naturally high UV levels, especially during summer. The risk of developing melanoma is affected by factors such as skin colour and type, family history, and the amount of sun exposure. Melanoma can affect people at any age, but the chance of developing a melanoma increases with age. We report on age-standardised rates of melanoma to account for the increasing proportion of older people in our population. Our data on melanoma registrations come from the New Zealand Cancer Registry and the Ministry of Health's Mortality Collection. The passing of the Cancer Registry Act 1993 and Cancer Registry Regulations 1994 led to significant improvements in data quality and coverage (Ministry of Health, 2013). A sharp increase in registrations after 1993 is likely to have been related to these legislative and regulatory changes; for this reason we have only analysed data from 1996. 2014–15 data are provisional and subject to change. More information on this dataset and how it relates to our environmental reporting indicators and topics can be found in the attached data quality pdf.

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