Psychiatry and Psychology Commons^™

Subanesthetic Iv Ketamine Reduces Acute Suicidal Ideation In Patients With Mood Disorders, Kimberly Jenko, Jack Anzilotti

Physician Assistant Capstones, 2016 to 2019

Background. Depression and suicide are common in the United States and present a significant problem in the healthcare landscape. Currently, there are few options that can rapidly reduce suicidal ideation in patients with depression. Ketamine, a glutamate N-methyl-D-aspartate (NMDA) receptor antagonist, has been shown to reduce acute suicidality in patients with depression. Previous studies have a reduction of suicidal ideation compared to saline placebo, but few studies have shown a significant effect compared to a similar psychoactive drug such as midazolam.

Method. A search of PubMed and PsychNET was performed in September 2018 using the terms “ketamine,” “suicide,” …

Integrative Pharmacotherapeutic Approaches To Treating Depression, Charlotte Tse

Independent Study Project (ISP) Collection

Traditional Chinese Medicine (TCM), based in the philosophy-religions of Buddhism, Confucianism, and Daoism, is more than a purely prescriptive medical system; it is a way of life focused primarily on the principles of prevention rather than the more reactionary direction that pharmacotherapy in the US has taken. Mental illness is expected to account for a quarter of China’s overall health burden by 2020, with depression affecting around 100 million people and nearly 30 percent of young Chinese adults. Conventional antidepressants have a delayed onset and unpredictable therapeutic efficacy in this condition, especially in mild to moderate cases of depression. In …

Identifying Depression In The National Health And Nutrition Examination Survey Data Using A Deep Learning Algorithm, Jihoon Oh, Kyongsik Yun, Uri Maoz, Tae-Suk Kim, Jeong-Ho Chae

Psychology Faculty Articles and Research

Background

As depression is the leading cause of disability worldwide, large-scale surveys have been conducted to establish the occurrence and risk factors of depression. However, accurately estimating epidemiological factors leading up to depression has remained challenging. Deep-learning algorithms can be applied to assess the factors leading up to prevalence and clinical manifestations of depression.

Methods

Customized deep-neural-network and machine-learning classifiers were assessed using survey data from 19,725 participants from the NHANES database (from 1999 through 2014) and 4949 from the South Korea NHANES (K-NHANES) database in 2014.

Results

A deep-learning algorithm showed area under the receiver operating characteristic curve (AUCs) …

Mental Health Stigma In College Students By Academic Major, Kristen Miller

Mahurin Honors College Capstone Experience/Thesis Projects

Stigma is best defined as the disapproval and shame felt by people who display characteristics not widely accepted in society. Although mental illness has become more prevalent in society through advocacy and awareness campaigns, it fails to be accepted and often individuals may feel shame that prevents them from seeking help (Dyrbye, Eacker, Durning, Brazeau, Moutier, Massie, S., et al, 2015; Givens & Tjia, 2002). Physicians in particular have been shown to have decreased help-seeking behaviors for psychological issues due to fear of professional repercussions (Dyrbye et al., 2015). Physicians also show increased levels of stress, anxiety, depression, and elevated …