Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons^™

The Effects Of Psychedelic Microdosing On Mental Health: A Systematic Review, David F. Lo, Hasan Zia, Adarsh Thakur, Praneetha Rajkumar, Don D. Shamilov

Rowan-Virtua Research Day

This poster explores the effects of psychedelic microdosing on mental health conditions. Roughly 5.5 million individuals in the U.S. utilize psychedelics to treat their mental health issues. The primary substances used for microdosing currently include LSD and psilocybin, but mescaline, DMT, and amphetamines are used less commonly. This systematic review included 16 unique articles. The types of articles included: observational, placebo, self-reported, motivational, literature review, and comparative studies. The studies indicated lower levels of anxiety, depression, and stress among those that microdose. However, drawbacks such as difficulty sleeping and headaches were reported. Various studies have been published on the effects …

Informative Journaling Application (Unwind) For Ambient Awareness On Mood In Young Adults To Reduce Anxiety And Depression: A Randomized, Placebo-Controlled Trial, Jalen Wang

Dartmouth College Undergraduate Theses

The mental health of young adults in America is worsening. Technology-based interventions may offer an accessible way to help with this problem. The objective of the study was to determine the feasibility and preliminary efficacy of an informative journaling application to reduce symptoms of anxiety and depression for young adults. In an unblinded trial, 20 individuals age 18-22 were recruited from Dartmouth College and were randomized to either participate in using the informative journaling application (Unwind) (n=10) or were directed to a National Institute of Mental Health pamphlet as part of the control group (n=10). All participants completed the 9-item …

Analytic Hierarchy Process: An Innovative Technique For Culturally Tailoring Evidence-Based Interventions To Reduce Health Disparities, Jaime A. Corvin, Isabella Chan, Claudia X. Aguado, Ian Dollman, Junius Gonzales

Publications from Provost Junius J. Gonzales

Latinos in the United States represent a disproportionate burden of illness and disease and face barriers to accessing health care and related resources. Culturally tailored, evidence-based interventions hold promise in addressing many of these challenges. Yet, ensuring patient voice is vital in the successful development and implementation of such interventions. Thus, this paper examines the application of analytic hierarchy process (AHP) to inform the augmentation and implementation of an evidence-based chronic disease self-management programme for underserved Latinos living with both minor depression and chronic illness. The process of AHP allows for direct input from the individuals that would utilize such …

Neonatal Abstinence Syndrome From Selective Serotonin Reuptake Inhibitor Use During Pregnancy, Elizabeth Kramer, Maria Patnella, Rachel Bulko, Allie Harrison, Hannah Lamb, Manoranjan D'Souza

Pharmacy and Wellness Review

Neonatal abstinence syndrome (NAS) is a concern for infants born to mothers receiving treatment with a selective serotonin reuptake inhibitor (SSRI) throughout the pregnancy. The risk of NAS associated with SSRI use during pregnancy varies with the specific SSRI that is used by the patient during pregnancy. Common symptoms of NAS include premature delivery, gastrointestinal disturbances, irritability, low birth weight, short length and lack of response to various stimuli. Neonates that present with these symptoms can be scored using either the Finnegan or Lipsitz scoring tools. Neonates experiencing NAS can be calmed or treated using nonpharmacologic methods such as swaddling, …

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 Disorders In Primary Care Services: An Update, Junius Gonzales, Kathryn M. Magruder, Samuel J. Keith

Publications from Provost Junius J. Gonzales

Frank mental disorders, such as depression and panic disorder, are prevalent in primary care; they cause people substantial suffering and interfere with daily functioning. Even subthreshold or "subsyndromal" conditions, with fewer symptoms than necessary for making a diagnosis, cause substantial morbidity. Recent literature on mental disorders in primary care, where many, if not most, people with mental health problems are seen, is reviewed with focus on recognition and diagnosis issues, management of these problems in primary care, obstacles to accurate diagnosis and appropriate treatment, and prevention issues. In addition to a review of recent research, there is an effort to …