61 datasets found
  1. Age-adjusted mean change in body weight between the TH group and NTH group...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated May 30, 2023
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    Shuko Takahashi; Yuki Yonekura; Ryohei Sasaki; Yukari Yokoyama; Kozo Tanno; Kiyomi Sakata; Akira Ogawa; Seichiro Kobayashi; Taro Yamamoto (2023). Age-adjusted mean change in body weight between the TH group and NTH group stratified by lifestyle factors, psychosocial factors, and cardiovascular risk factors. [Dataset]. http://doi.org/10.1371/journal.pone.0166817.t004
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    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Shuko Takahashi; Yuki Yonekura; Ryohei Sasaki; Yukari Yokoyama; Kozo Tanno; Kiyomi Sakata; Akira Ogawa; Seichiro Kobayashi; Taro Yamamoto
    License

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

    Description

    Age-adjusted mean change in body weight between the TH group and NTH group stratified by lifestyle factors, psychosocial factors, and cardiovascular risk factors.

  2. w

    Suicide Rate (age-adjusted), New Jersey, by year: Beginning 2010

    • data.wu.ac.at
    • healthdata.nj.gov
    • +1more
    application/excel +5
    Updated May 23, 2018
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    Loretta Kelly (2018). Suicide Rate (age-adjusted), New Jersey, by year: Beginning 2010 [Dataset]. https://data.wu.ac.at/schema/healthdata_nj_gov/NHRxaC1oNzg5
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    application/excel, application/xml+rdf, json, xml, xlsx, csvAvailable download formats
    Dataset updated
    May 23, 2018
    Dataset provided by
    Loretta Kelly
    Area covered
    New Jersey
    Description

    Age-adjusted death rate due to suicide, New Jersey.

    Rate: Number of suicides per 100,000 persons (age-adjusted).

    Definition: Deaths with suicide as the underlying cause. Suicide is defined as death resulting from the intentional use of force against oneself. ICD-10 codes: X60-X84, Y87.0

    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

  3. f

    Comparison of age-adjusted mean (SE) of physical performance measures and...

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Jan 2, 2024
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    Arima, Kazuhiko; Kojima, Michiko; Hasegawa, Maiko; Suiko, Masahiro; Osaki, Makoto; Mizukami, Satoshi; Tsujimoto, Ritsu; Nakashima, Hiroki; Nishimura, Takayuki; Honda, Yuzo; Tomita, Yoshihito; Tanaka, Natsumi; Okawachi, Tetsuji; Sou, Youko; Abe, Yasuyo; Kanagae, Mitsuo; Aoyagi, Kiyoshi (2024). Comparison of age-adjusted mean (SE) of physical performance measures and stiffness index by status of exercise, smoking, and alcohol consumption. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001483458
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    Dataset updated
    Jan 2, 2024
    Authors
    Arima, Kazuhiko; Kojima, Michiko; Hasegawa, Maiko; Suiko, Masahiro; Osaki, Makoto; Mizukami, Satoshi; Tsujimoto, Ritsu; Nakashima, Hiroki; Nishimura, Takayuki; Honda, Yuzo; Tomita, Yoshihito; Tanaka, Natsumi; Okawachi, Tetsuji; Sou, Youko; Abe, Yasuyo; Kanagae, Mitsuo; Aoyagi, Kiyoshi
    Description

    Comparison of age-adjusted mean (SE) of physical performance measures and stiffness index by status of exercise, smoking, and alcohol consumption.

  4. Age-Adjusted Mean Intakes of Fats and Energy among U.S. Adults Aged 20–74...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 1, 2023
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    Earl S. Ford; Simon Capewell (2023). Age-Adjusted Mean Intakes of Fats and Energy among U.S. Adults Aged 20–74 Years. [Dataset]. http://doi.org/10.1371/journal.pone.0065228.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Earl S. Ford; Simon Capewell
    License

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

    Description

    Age-Adjusted Mean Intakes of Fats and Energy among U.S. Adults Aged 20–74 Years.

  5. NOHSS Adult Indicators - 2010 And Prior BRFSS

    • catalog.data.gov
    • healthdata.gov
    • +6more
    Updated Mar 1, 2025
    + more versions
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    Centers for Disease Control and Prevention (2025). NOHSS Adult Indicators - 2010 And Prior BRFSS [Dataset]. https://catalog.data.gov/dataset/nohss-adult-indicators-2010-and-prior-brfss
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    Dataset updated
    Mar 1, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    Data from BRFSS for indicators of adult oral health for 1999 and even years from 2002 through 2010. National estimates are represented by the median prevalence among 50 states and the District of Columbia data. Estimates are prepared from the BRFSS public use data sets. Estimates in this file are not age adjusted, and may differ slightly from estimates available from the BRFSS web site or Chronic Disease Indicators due to small differences in definition, age adjustment or rounding. For more information, see: http://www.cdc.gov/oralhealthdata/overview/Adult_Indicators.html

  6. Age-adjusted mean changes in weight and height-for-age Z-scores among...

    • plos.figshare.com
    xls
    Updated May 31, 2023
    + more versions
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    Hesham M. Al-Mekhlafi; Mohamed T. Al-Maktari; Rohana Jani; Abdulhamid Ahmed; Tengku Shahrul Anuar; Norhayati Moktar; Mohammed A. K. Mahdy; Yvonne A. L. Lim; Rohela Mahmud; Johari Surin (2023). Age-adjusted mean changes in weight and height-for-age Z-scores among children according to Giardia infection. [Dataset]. http://doi.org/10.1371/journal.pntd.0002516.t007
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Hesham M. Al-Mekhlafi; Mohamed T. Al-Maktari; Rohana Jani; Abdulhamid Ahmed; Tengku Shahrul Anuar; Norhayati Moktar; Mohammed A. K. Mahdy; Yvonne A. L. Lim; Rohela Mahmud; Johari Surin
    License

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

    Description

    All values are mean (95% confidence interval); Δ: change; mo: months; WAZ: weight-for-age Z-scores; HAZ: height-for-age Z-scores; WHZ: weight-for- height Z-scores.*Significant difference compared to Giardia-negative children (P

  7. f

    Estimated absolute and relative age-adjusted changes in risk factor...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 6, 2023
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    N. P. Sobers; N. Unwin; T. A. Samuels; S. Capewell; M. O’Flaherty; J. A. Critchley (2023). Estimated absolute and relative age-adjusted changes in risk factor prevalence/mean levels occurring in Barbados from 1990 to 2012 comparing models 1 and 2. [Dataset]. http://doi.org/10.1371/journal.pone.0215392.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 6, 2023
    Dataset provided by
    PLOS ONE
    Authors
    N. P. Sobers; N. Unwin; T. A. Samuels; S. Capewell; M. O’Flaherty; J. A. Critchley
    License

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

    Area covered
    Barbados
    Description

    Estimated absolute and relative age-adjusted changes in risk factor prevalence/mean levels occurring in Barbados from 1990 to 2012 comparing models 1 and 2.

  8. A

    NOHSS Adult Indicators

    • data.amerigeoss.org
    • data.virginia.gov
    • +6more
    csv, json, rdf, xml
    Updated Jul 26, 2019
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    United States[old] (2019). NOHSS Adult Indicators [Dataset]. https://data.amerigeoss.org/mk/dataset/nohss-adult-indicators-a78ac
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    xml, csv, json, rdfAvailable download formats
    Dataset updated
    Jul 26, 2019
    Dataset provided by
    United States[old]
    Description

    2012-2016 (even years). Data from BRFSS for indicators of adult oral health for even years from 2012 through 2016. National estimates are represented by the median prevalence among 50 states and the District of Columbia data. Estimates are prepared from the BRFSS public use data sets. Estimates in this file are not age adjusted, and may differ slightly from estimates available from the BRFSS web site or Chronic Disease Indicators due to small differences in definition, age adjustment or rounding. For more information, see: http://www.cdc.gov/oralhealthdata/overview/Adult_Indicators.html

  9. f

    Mean characteristics of patients who started RRT for end-stage renal disease...

    • plos.figshare.com
    xls
    Updated Jun 14, 2023
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    Maxime Desmarets; Carole Ayav; Kadiatou Diallo; Florian Bayer; Frédéric Imbert; Erik André Sauleau; Elisabeth Monnet (2023). Mean characteristics of patients who started RRT for end-stage renal disease and mean values of the contextual indicators in townships for the whole area and by quintiles of RRT incidence rate. [Dataset]. http://doi.org/10.1371/journal.pone.0236698.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 14, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Maxime Desmarets; Carole Ayav; Kadiatou Diallo; Florian Bayer; Frédéric Imbert; Erik André Sauleau; Elisabeth Monnet
    License

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

    Description

    Mean characteristics of patients who started RRT for end-stage renal disease and mean values of the contextual indicators in townships for the whole area and by quintiles of RRT incidence rate.

  10. O

    ARCHIVED - ADD and Related Disorders

    • data.sandiegocounty.gov
    csv, xlsx, xml
    Updated Feb 13, 2020
    + more versions
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    County of San Diego (2020). ARCHIVED - ADD and Related Disorders [Dataset]. https://data.sandiegocounty.gov/Health/ARCHIVED-ADD-and-Related-Disorders/ex2j-av9r
    Explore at:
    csv, xlsx, xmlAvailable download formats
    Dataset updated
    Feb 13, 2020
    Dataset authored and provided by
    County of San Diego
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    Basic Metadata *Rates per 100,000 population. Age-adjusted rates per 100,000 2000 US standard population.

    **Blank Cells: Rates not calculated for fewer than 5 events. Rates not calculated in cases where zip code is unknown.

    ***API: Asian/Pacific Islander. ***AIAN: American Indian/Alaska Native.

    Prepared by: County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2019.

    Code Source: ICD-9CM - AHRQ HCUP CCS v2015. ICD-10CM - AHRQ HCUP CCS v2018. ICD-10 Mortality - California Department of Public Health, Group Cause of Death Codes 2013; NHCS ICD-10 2e-v1 2017.

    Data Guide, Dictionary, and Codebook: https://www.sandiegocounty.gov/content/dam/sdc/hhsa/programs/phs/CHS/Community%20Profiles/Public%20Health%20Services%20Codebook_Data%20Guide_Metadata_10.2.19.xlsx

  11. Homicide Rate, New Jersey, by year: Beginning 2010

    • splitgraph.com
    • healthdata.nj.gov
    • +1more
    Updated Sep 2, 2020
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    New Jersey Department of Health (2020). Homicide Rate, New Jersey, by year: Beginning 2010 [Dataset]. https://www.splitgraph.com/healthdata-nj-gov/homicide-rate-new-jersey-by-year-beginning-2010-nj5x-srif
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    application/openapi+json, application/vnd.splitgraph.image, jsonAvailable download formats
    Dataset updated
    Sep 2, 2020
    Dataset authored and provided by
    New Jersey Department of Healthhttps://www.nj.gov/health/
    Area covered
    New Jersey
    Description

    Age-adjusted death rate of residents due to homicide, New Jersey.

    Rate: Number of homicides per 100,000 persons (age-adjusted).

    Definition: Deaths where homicide is indicated as the underlying cause of death. Homicide is defined as death resulting from the intentional use of force or power, threatened or actual, against another person, group, or community. ICD-10 Codes: X85-Y09, Y87.1 (homicide)

    Data Sources:

    (1) Death Certificate Database, Office of Vital Statistics and Registry, New Jersey Department of Health http://www.state.nj.us/health/chs/

    (2) National Center for Health Statistics and U.S. Census Bureau. Vintage 2009 bridged-rate postcensal population estimates

    http://www.cdc.gov/nchs/nvss/bridged_race.htm as of July 23, 2010

    (3) 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

    Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

    See the Splitgraph documentation for more information.

  12. d

    Data from: Late Lutetian Thermal Maximum - crossing a thermal threshold in...

    • search.dataone.org
    • doi.pangaea.de
    • +1more
    Updated Feb 23, 2018
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    Westerhold, Thomas; Röhl, Ursula; Donner, Barbara; Frederichs, Thomas; Kordesch, Wendy E C; Bohaty, Steven M; Hodell, David A; Laskar, Jacques; Zeebe, Richard E (2018). Late Lutetian Thermal Maximum - crossing a thermal threshold in Earth's climate system? [Dataset]. http://doi.org/10.1594/PANGAEA.883619
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    Dataset updated
    Feb 23, 2018
    Dataset provided by
    PANGAEA Data Publisher for Earth and Environmental Science
    Authors
    Westerhold, Thomas; Röhl, Ursula; Donner, Barbara; Frederichs, Thomas; Kordesch, Wendy E C; Bohaty, Steven M; Hodell, David A; Laskar, Jacques; Zeebe, Richard E
    Time period covered
    Apr 13, 1987 - Apr 5, 2003
    Area covered
    Description

    Recognizing and deciphering transient global warming events triggered by massive release of carbon into Earth's ocean-atmosphere climate system in the past are important for understanding climate under elevated pCO2 conditions. Here we present new high-resolution geochemical records including benthic foraminiferal stable isotope data with clear evidence of a short-lived (30 kyr) warming event at 41.52 Ma. The event occurs in the late Lutetian within magnetochron C19r and is characterized by a ~2°C warming of the deep ocean in the southern South Atlantic. The magnitudes of the carbon and oxygen isotope excursions of the Late Lutetian Thermal Maximum are comparable to the H2 event (53.6 Ma) suggesting a similar response of the climate system to carbon cycle perturbations even in an already relatively cooler climate several million years after the Early Eocene Climate Optimum. Coincidence of the event with exceptionally high insolation values in the Northern Hemisphere at 41.52 Ma might indicate that Earth's climate system has a thermal threshold. When this tipping point is crossed, rapid positive feedback mechanisms potentially trigger transient global warming. The orbital configuration in this case could have caused prolonged warm and dry season leading to a massive release of terrestrial carbon into the ocean-atmosphere system initiating environmental change.

  13. NOHSS Adult Indicators - Adults who have visited a dentist or dental clinic...

    • data.cdc.gov
    • data.wu.ac.at
    Updated Jan 30, 2025
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    Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Oral Health (2025). NOHSS Adult Indicators - Adults who have visited a dentist or dental clinic in the past year [Dataset]. https://data.cdc.gov/Oral-Health/NOHSS-Adult-Indicators-Adults-who-have-visited-a-d/jbym-fau6
    Explore at:
    application/geo+json, xlsx, kml, kmz, csv, xmlAvailable download formats
    Dataset updated
    Jan 30, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Authors
    Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Oral Health
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description
    1. Data from BRFSS for indicators of adult oral health for 1999 and even years from 2002 through 2016. National estimates are represented by the median prevalence among 50 states and the District of Columbia data. Estimates are prepared from the BRFSS public use data sets. Estimates in this file are not age adjusted, and may differ slightly from estimates available from the BRFSS web site or Chronic Disease Indicators due to small differences in definition, age adjustment or rounding. For more information, see: http://www.cdc.gov/oralhealthdata/overview/Adult_Indicators.html
  14. Adults aged 65+ who have lost all of their natural teeth due to tooth decay...

    • chronicdata.cdc.gov
    csv, xlsx, xml
    Updated Jan 30, 2025
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    Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Oral Health (2025). Adults aged 65+ who have lost all of their natural teeth due to tooth decay or gum disease (by Race) [Dataset]. https://chronicdata.cdc.gov/w/vzr2-2rzq/x389-wqiw?cur=7ZFjSUF-nKP
    Explore at:
    csv, xml, xlsxAvailable download formats
    Dataset updated
    Jan 30, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Authors
    Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Oral Health
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    2012-2020 (even years). Data from BRFSS for indicators of adult oral health for even years from 2012 through 2020. National estimates are represented by the median prevalence among 50 states and the District of Columbia data. Estimates are prepared from the BRFSS public use data sets. Estimates in this file are not age adjusted, and may differ slightly from estimates available from the BRFSS web site or Chronic Disease Indicators due to small differences in definition, age adjustment or rounding. For more information, see: http://www.cdc.gov/oralhealthdata/overview/Adult_Indicators.html

  15. d

    Data from: Stable oxygen isotope, UK'37, productivity, CaCO3 and XRF records...

    • search.dataone.org
    • doi.pangaea.de
    • +2more
    Updated Jan 8, 2018
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    Fraser, Nicholas; Kuhnt, Wolfgang; Holbourn, Ann; Bolliet, Timothé; Andersen, Nils; Blanz, Thomas; Beaufort, Luc (2018). Stable oxygen isotope, UK'37, productivity, CaCO3 and XRF records from sediment core MD06-3075 [Dataset]. http://doi.org/10.1594/PANGAEA.837186
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    Dataset updated
    Jan 8, 2018
    Dataset provided by
    PANGAEA Data Publisher for Earth and Environmental Science
    Authors
    Fraser, Nicholas; Kuhnt, Wolfgang; Holbourn, Ann; Bolliet, Timothé; Andersen, Nils; Blanz, Thomas; Beaufort, Luc
    Time period covered
    May 6, 2008
    Area covered
    Description

    Proxy records of hydrologic variability in the West Pacific Warm Pool (WPWP) have revealed wide-scale changes in past convective activity in response to orbital and sub-orbital climate forcings. However, attributing proxy responses to regional changes in WPWP hydrology versus local variations in precipitation requires independent records linking the terrestrial and marine realms. We present high-resolution stable isotope, UK'37 sea-surface temperature, X-ray fluorescence (XRF) core scanning and coccolithophore-derived paleoproductivity records covering the past 120 ka from International Marine Global Change (IMAGES) Program Core MD06-3075 (6°29' N, 125°50' E, water depth 1878 m), situated in the Davao Gulf on the southern side of Mindanao. XRF-derived log(Fe/Ca) records provide a robust proxy for runoff-driven sedimentary discharge from Mindanao, whilst past changes in local productivity are associated with variable freshwater runoff and stratification of the surface layer. Significant precessional-scale variability in sedimentary discharge occurred during Marine Isotope Stage (MIS) 5, with peaks in discharge contemporaneous with Northern Hemisphere summer insolation minima. We attribute these changes to the latitudinal migration of the Intertropical Convergence Zone (ITCZ) over the WPWP together with variability in the strength of the Walker circulation acting on precessional timescales. Between 60 and 15 ka sedimentary discharge at Mindanao was muted, displaying little orbital- or millennial-scale variability, likely in response to weakened precessional insolation forcing and lower sea level driving increased subsidence of air masses over the exposed Sunda Shelf. These results highlight the high degree of local variability in the precipitation response to past climate changes in the WPWP.

  16. f

    Age-adjusted mean change in risk factors for non-communicable diseases in...

    • plos.figshare.com
    xls
    Updated May 31, 2023
    + more versions
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    Thirunavukkarasu Sathish; Srinivasan Kannan; Sankara P. Sarma; Oliver Razum; Odile Sauzet; Kavumpurathu Raman Thankappan (2023). Age-adjusted mean change in risk factors for non-communicable diseases in the study cohort. [Dataset]. http://doi.org/10.1371/journal.pone.0178949.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Thirunavukkarasu Sathish; Srinivasan Kannan; Sankara P. Sarma; Oliver Razum; Odile Sauzet; Kavumpurathu Raman Thankappan
    License

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

    Description

    Age-adjusted mean change in risk factors for non-communicable diseases in the study cohort.

  17. f

    Age-adjusted characteristics in patients with respiratory viral co-infection...

    • figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 3, 2023
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    Ignacio A. Echenique; Philip A. Chan; Kimberle C. Chapin; Sarah B. Andrea; Joseph L. Fava; Leonard A. Mermel (2023). Age-adjusted characteristics in patients with respiratory viral co-infection compared to mono-infection. [Dataset]. http://doi.org/10.1371/journal.pone.0060845.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Ignacio A. Echenique; Philip A. Chan; Kimberle C. Chapin; Sarah B. Andrea; Joseph L. Fava; Leonard A. Mermel
    License

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

    Description

    aReference category.bBack transformation of the mean age-adjusted natural log values analyzed, along with back transformed 95% confidence intervals.cOdds ratios not computed on variables with zero occurrences in a cell category.dAdjusted means and standard errors are presented.eNAD: No acute disease; IO: interstitial opacities; FASD: focal airspace disease; MFASD: multifocal airspace disease.

  18. f

    Data_Sheet_1_Revising Incidence and Mortality of Lung Cancer in Central...

    • frontiersin.figshare.com
    • datasetcatalog.nlm.nih.gov
    docx
    Updated May 30, 2023
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    Krisztina Bogos; Zoltán Kiss; Gabriella Gálffy; Lilla Tamási; Gyula Ostoros; Veronika Müller; László Urbán; Nóra Bittner; Veronika Sárosi; Aladár Vastag; Zoltán Polányi; Zsófia Nagy-Erdei; Zoltán Vokó; Balázs Nagy; Krisztián Horváth; György Rokszin; Zsolt Abonyi-Tóth; Judit Moldvay (2023). Data_Sheet_1_Revising Incidence and Mortality of Lung Cancer in Central Europe: An Epidemiology Review From Hungary.docx [Dataset]. http://doi.org/10.3389/fonc.2019.01051.s001
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    docxAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Frontiers
    Authors
    Krisztina Bogos; Zoltán Kiss; Gabriella Gálffy; Lilla Tamási; Gyula Ostoros; Veronika Müller; László Urbán; Nóra Bittner; Veronika Sárosi; Aladár Vastag; Zoltán Polányi; Zsófia Nagy-Erdei; Zoltán Vokó; Balázs Nagy; Krisztián Horváth; György Rokszin; Zsolt Abonyi-Tóth; Judit Moldvay
    License

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

    Area covered
    Central Europe, Europe, Hungary
    Description

    Objective: While Hungary is often reported to have the highest incidence and mortality rates of lung cancer, until 2018 no nationwide epidemiology study was conducted to confirm these trends. The objective of this study was to estimate the occurrence of lung cancer in Hungary based on a retrospective review of the National Health Insurance Fund (NHIF) database.Methods: Our retrospective, longitudinal study included patients aged ≥20 years who were diagnosed with lung cancer (ICD-10 C34) between 1 Jan 2011 and 31 Dec 2016. Age-standardized incidence and mortality rates were calculated using both the 1976 and 2013 European Standard Populations (ESP).Results: Between 2011 and 2016, 6,996 – 7,158 new lung cancer cases were recorded in the NHIF database annually, and 6,045 – 6,465 all-cause deaths occurred per year. Age-adjusted incidence rates were 115.7–101.6/100,000 person-years among men (ESP 1976: 84.7–72.6), showing a mean annual change of − 2.26% (p = 0.008). Incidence rates among women increased from 48.3 to 50.3/100,000 person-years (ESP 1976: 36.9–38.0), corresponding to a mean annual change of 1.23% (p = 0.028). Age-standardized mortality rates varied between 103.8 and 97.2/100,000 person-years (ESP 1976: 72.8–69.7) in men and between 38.3 and 42.7/100,000 person-years (ESP 1976: 27.8–29.3) in women.Conclusion: Age-standardized incidence and mortality rates of lung cancer in Hungary were found to be high compared to Western-European countries, but lower than those reported by previous publications. The incidence of lung cancer decreased in men, while there was an increase in incidence and mortality among female lung cancer patients.

  19. f

    Age-adjusted prevalence and mean values of selected cardiovascular risk...

    • plos.figshare.com
    xls
    Updated Jun 8, 2023
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    Silvia Stringhini; Brenda Spencer; Pedro Marques-Vidal; Gerard Waeber; Peter Vollenweider; Fred Paccaud; Pascal Bovet (2023). Age-adjusted prevalence and mean values of selected cardiovascular risk factors by level of education and age group among women (N = 3343). [Dataset]. http://doi.org/10.1371/journal.pone.0049443.t003
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    Dataset updated
    Jun 8, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Silvia Stringhini; Brenda Spencer; Pedro Marques-Vidal; Gerard Waeber; Peter Vollenweider; Fred Paccaud; Pascal Bovet
    License

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

    Description

    BP: blood pressure; CI: confidence interval; HDL: high-density lipoprotein; LDL: low-density lipoprotein. Prevalence and mean values are adjusted for age and place of birth (Switzerland or outside Switzerland).ap for linear trend across socioeconomic categories.bDifference in prevalence/mean between the highest and the lowest educational category.cp for interaction between educational level and age group.dAnalyses restricted to current smokers (N = 503 in the 35–54 years group and N = 288 in the 55–75 years group). 31 smokers with missing information on pack-years were not included.eOverweight: BMI ≥25 kg/m2 and

  20. Comparison of age-adjusted mean differences in the scores before and after...

    • plos.figshare.com
    xls
    Updated Jun 6, 2023
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    Parviz Ayazi; Abolfazl Mahyar; Mahdieh Yousef-Zanjani; Abbas Allami; Neda Esmailzadehha; Taraneh Beyhaghi (2023). Comparison of age-adjusted mean differences in the scores before and after the intervention in the three groups. [Dataset]. http://doi.org/10.1371/journal.pone.0170277.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 6, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Parviz Ayazi; Abolfazl Mahyar; Mahdieh Yousef-Zanjani; Abbas Allami; Neda Esmailzadehha; Taraneh Beyhaghi
    License

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

    Description

    Comparison of age-adjusted mean differences in the scores before and after the intervention in the three groups.

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Shuko Takahashi; Yuki Yonekura; Ryohei Sasaki; Yukari Yokoyama; Kozo Tanno; Kiyomi Sakata; Akira Ogawa; Seichiro Kobayashi; Taro Yamamoto (2023). Age-adjusted mean change in body weight between the TH group and NTH group stratified by lifestyle factors, psychosocial factors, and cardiovascular risk factors. [Dataset]. http://doi.org/10.1371/journal.pone.0166817.t004
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Age-adjusted mean change in body weight between the TH group and NTH group stratified by lifestyle factors, psychosocial factors, and cardiovascular risk factors.

Related Article
Explore at:
xlsAvailable download formats
Dataset updated
May 30, 2023
Dataset provided by
PLOShttp://plos.org/
Authors
Shuko Takahashi; Yuki Yonekura; Ryohei Sasaki; Yukari Yokoyama; Kozo Tanno; Kiyomi Sakata; Akira Ogawa; Seichiro Kobayashi; Taro Yamamoto
License

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

Description

Age-adjusted mean change in body weight between the TH group and NTH group stratified by lifestyle factors, psychosocial factors, and cardiovascular risk factors.

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