7 datasets found
  1. f

    Data from: A Bayesian network analysis of posttraumatic stress disorder...

    • tandf.figshare.com
    txt
    Updated Jun 1, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Richard J. McNally; Alexandre Heeren; Donald J. Robinaugh (2023). A Bayesian network analysis of posttraumatic stress disorder symptoms in adults reporting childhood sexual abuse [Dataset]. http://doi.org/10.6084/m9.figshare.21829617.v1
    Explore at:
    txtAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Taylor & Francis
    Authors
    Richard J. McNally; Alexandre Heeren; Donald J. Robinaugh
    License

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

    Description

    Background: The network approach to mental disorders offers a novel framework for conceptualizing posttraumatic stress disorder (PTSD) as a causal system of interacting symptoms. Objective: In this study, we extended this work by estimating the structure of relations among PTSD symptoms in adults reporting personal histories of childhood sexual abuse (CSA; N = 179). Method: We employed two complementary methods. First, using the graphical LASSO, we computed a sparse, regularized partial correlation network revealing associations (edges) between pairs of PTSD symptoms (nodes). Next, using a Bayesian approach, we computed a directed acyclic graph (DAG) to estimate a directed, potentially causal model of the relations among symptoms. Results: For the first network, we found that physiological reactivity to reminders of trauma, dreams about the trauma, and lost of interest in previously enjoyed activities were highly central nodes. However, stability analyses suggest that these findings were unstable across subsets of our sample. The DAG suggests that becoming physiologically reactive and upset in response to reminders of the trauma may be key drivers of other symptoms in adult survivors of CSA. Conclusions: Our study illustrates the strengths and limitations of these network analytic approaches to PTSD.

  2. Results and graphs of a questionnaire based survey on effects of metal...

    • figshare.com
    xlsx
    Updated Jun 17, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Andres Dobat; Sultan Wood (2019). Results and graphs of a questionnaire based survey on effects of metal detecting among British Armed Forces veterans with PTSD and/or other mental health challenges. [Dataset]. http://doi.org/10.6084/m9.figshare.7955960.v4
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jun 17, 2019
    Dataset provided by
    figshare
    Authors
    Andres Dobat; Sultan Wood
    License

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

    Area covered
    United Kingdom
    Description

    Sorted results and graphs of a questionnaire based survey on self-assessment of the effects of metal detecting among British Armed Forces veterans with PTSD (Post Traumatic Stress Disorder) and/or other diagnosed or undiagnosed psychological challenges.

  3. O

    EMS - CPI 01 - Trauma Scene Time Compliance Chart

    • data.austintexas.gov
    application/rdfxml +5
    Updated Apr 3, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Austin, Texas - data.austintexas.gov (2025). EMS - CPI 01 - Trauma Scene Time Compliance Chart [Dataset]. https://data.austintexas.gov/w/b349-rrxx/7r79-5ncn?cur=bEuwwHNx7ML&from=dgSPkwf-apd
    Explore at:
    application/rdfxml, csv, application/rssxml, xml, json, tsvAvailable download formats
    Dataset updated
    Apr 3, 2025
    Dataset authored and provided by
    City of Austin, Texas - data.austintexas.gov
    License

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

    Description

    This table contains data related to Clinical Performance Indicators (CPIs) used by the City of Austin/Travis County EMS System Office of the Medical Director (OMD). More information on CPIs can be found at http://www.austintexas.gov/page/performance-improvement.

  4. O

    EMS - Trauma Alert Scene Time Compliance Chart

    • data.austintexas.gov
    • data.wu.ac.at
    application/rdfxml +5
    Updated Apr 1, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Austin, Texas - data.austintexas.gov (2025). EMS - Trauma Alert Scene Time Compliance Chart [Dataset]. https://data.austintexas.gov/w/3aer-bfy4/7r79-5ncn?cur=g0jLce9i7gk
    Explore at:
    application/rdfxml, tsv, json, xml, csv, application/rssxmlAvailable download formats
    Dataset updated
    Apr 1, 2025
    Dataset authored and provided by
    City of Austin, Texas - data.austintexas.gov
    License

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

    Description

    This table contains data describing ATCEMS management of Trauma Alert patients. In this setting, “Trauma Alert” refers to injured patients who meet Physiological or Anatomical criteria for transport to a Trauma Center per City of Austin/Travis County EMS System Clinical Operating Guidelines.

  5. F

    Producer Price Index by Industry: General Medical and Surgical Hospitals:...

    • fred.stlouisfed.org
    json
    Updated Aug 10, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2017). Producer Price Index by Industry: General Medical and Surgical Hospitals: Multiple Significant Trauma (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/PCU622110622110126
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 10, 2017
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Producer Price Index by Industry: General Medical and Surgical Hospitals: Multiple Significant Trauma (DISCONTINUED) (PCU622110622110126) from Jun 2008 to May 2017 about surgical, hospitals, medical, PPI, industry, inflation, price index, indexes, price, and USA.

  6. Number of Americans who used ecstasy (MDMA) in the past year 2009-2023

    • statista.com
    Updated Nov 1, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Number of Americans who used ecstasy (MDMA) in the past year 2009-2023 [Dataset]. https://www.statista.com/statistics/611689/mdma-use-during-past-year-in-the-us/
    Explore at:
    Dataset updated
    Nov 1, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, it was estimated that around 2.1 million people in the United States had used ecstasy, also known as MDMA or Molly, in the past year. MDMA is a synthetic drug that produces feelings of pleasure and emotional warmth, as well as increased empathy, energy, and sense of well-being. MDMA may also cause negative effects such as nausea, jaw clenching, chills, and disorganized thoughts, but deaths from MDMA overdose are rare. MDMA use in the United States As of 2023, around 22.3 million people in the United States had used MDMA at some point in their lifetime. Furthermore, around 603 thousand people reported using MDMA in the past month. Although MDMA gained popularity as a club drug, it is now used by a wider range of people for different reasons. However, it’s use among high school students is still relatively rare. As of 2023, only 1.3 percent of U.S. students in grades 8, 10, and 12 reported that they had used MDMA in their lifetime. In comparison, around 23.1 percent of students said they had used marijuana in their lifetime. MDMA as therapy In recent years there has been increased interest in using psychedelic drugs such as MDMA, LSD, and psilocybin to treat mental disorders. The use of these substances for mental health treatment is known as psychedelic therapy. Clinical trials are now being run to investigate the use of MDMA to treat post-traumatic stress disorder (PTSD), depression, anxiety, and alcohol use disorder. From 2000 to 2022, there were 13 clinical trials worldwide in phase two involving MDMA to treat PTSD.

  7. Rate of homelessness in the U.S. 2023, by state

    • statista.com
    Updated Sep 5, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Rate of homelessness in the U.S. 2023, by state [Dataset]. https://www.statista.com/statistics/727847/homelessness-rate-in-the-us-by-state/
    Explore at:
    Dataset updated
    Sep 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    When analyzing the ratio of homelessness to state population, New York, Vermont, and Oregon had the highest rates in 2023. However, Washington, D.C. had an estimated 73 homeless individuals per 10,000 people, which was significantly higher than any of the 50 states. Homeless people by race The U.S. Department of Housing and Urban Development performs homeless counts at the end of January each year, which includes people in both sheltered and unsheltered locations. The estimated number of homeless people increased to 653,104 in 2023 – the highest level since 2007. However, the true figure is likely to be much higher, as some individuals prefer to stay with family or friends - making it challenging to count the actual number of homeless people living in the country. In 2023, nearly half of the people experiencing homelessness were white, while the number of Black homeless people exceeded 243,000. How many veterans are homeless in America? The  number of homeless veterans in the United States has halved since 2010. The state of California, which is currently suffering a homeless crisis, accounted for the highest number of homeless veterans in 2022. There are many causes of homelessness among veterans of the U.S. military, including post-traumatic stress disorder (PTSD), substance abuse problems, and a lack of affordable housing.

  8. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Richard J. McNally; Alexandre Heeren; Donald J. Robinaugh (2023). A Bayesian network analysis of posttraumatic stress disorder symptoms in adults reporting childhood sexual abuse [Dataset]. http://doi.org/10.6084/m9.figshare.21829617.v1

Data from: A Bayesian network analysis of posttraumatic stress disorder symptoms in adults reporting childhood sexual abuse

Related Article
Explore at:
txtAvailable download formats
Dataset updated
Jun 1, 2023
Dataset provided by
Taylor & Francis
Authors
Richard J. McNally; Alexandre Heeren; Donald J. Robinaugh
License

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

Description

Background: The network approach to mental disorders offers a novel framework for conceptualizing posttraumatic stress disorder (PTSD) as a causal system of interacting symptoms. Objective: In this study, we extended this work by estimating the structure of relations among PTSD symptoms in adults reporting personal histories of childhood sexual abuse (CSA; N = 179). Method: We employed two complementary methods. First, using the graphical LASSO, we computed a sparse, regularized partial correlation network revealing associations (edges) between pairs of PTSD symptoms (nodes). Next, using a Bayesian approach, we computed a directed acyclic graph (DAG) to estimate a directed, potentially causal model of the relations among symptoms. Results: For the first network, we found that physiological reactivity to reminders of trauma, dreams about the trauma, and lost of interest in previously enjoyed activities were highly central nodes. However, stability analyses suggest that these findings were unstable across subsets of our sample. The DAG suggests that becoming physiologically reactive and upset in response to reminders of the trauma may be key drivers of other symptoms in adult survivors of CSA. Conclusions: Our study illustrates the strengths and limitations of these network analytic approaches to PTSD.

Search
Clear search
Close search
Google apps
Main menu