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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.
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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.
U.S. Government Workshttps://www.usa.gov/government-works
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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.
U.S. Government Workshttps://www.usa.gov/government-works
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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.
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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.
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.
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.
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.