Psychiatry and Psychology Commons^™

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) …

The Influence Of Stressful Life Events On The Development Of Type 2 Diabetes, Joshua Minks

Dissertations

This study examined the relationship between distress and the development of Type 2 diabetes mellitus (T2DM) in the presence of established risk factors. Distress secondary to mental health disparities, stressful life events, and work conditions has been shown to promote insulin resistance and the development of T2DM.

Subjects (N=79) diagnosed with T2DM within the previous six months were recruited from SSM Health Centers and VA Medical Centers in the greater St. Louis area. They completed the Recent Life Changes Questionnaire, ENRICHD Social Support Instrument, and a demographic survey and analyses were conducted to determine differences between the veteran …

A Program Of Research On Burnout-Depression Overlap, Irvin Sam Schonfeld

Publications and Research

The article describes a program of research aimed at unraveling the nature of the relationship of job-related burnout to depression. The research tends to show that burnout symptoms are depressive symptoms and what is termed a state of burnout often reflects an episode of depression.

Burnout: Moving Beyond The Status Quo, Renzo Bianchi, Irvin Sam Schonfeld, Éric Laurent

Publications and Research

Burnout has been defined as a job-induced syndrome combining emotional exhaustion, depersonalization/cynicism, and a sense of reduced personal accomplishment. In this article, we expand on past analyses of burnout by reviewing key, yet overlooked, problems affecting the construct. We concomitantly examine the implications of these problems for the overall validity of burnout research. Our work shows that burnout research is undermined by 4 main problems. First, what constitutes a case of burnout is unclear. Second, the basic conceptualization and operationalization of burnout are ill aligned. Third, burnout is unlikely to be the specifically job-induced syndrome it has been posited to …

Inquiry Into The Correlation Between Burnout And Depression, Irvin Sam Schonfeld, Jay Verkuilen, Renzo Bianchi

Publications and Research

The extent to which burnout refers to anything other than a depressive condition remains an object of controversy among occupational health specialists. In three studies conducted in two different countries and two different languages, we investigated the discriminant validity of burnout scales by evaluating the magnitude of the correlation between (latent) burnout and (latent) depression. In Study 1 (N = 911), burnout was assessed with the Maslach Burnout Inventory–General Survey’s Exhaustion subscale and depression with the depression module of the Patient Health Questionnaire (PHQ). In Study 2 (N = 1,386), the Shirom–Melamed Burnout Measure was used to assess burnout and …

An Exploratory Structural Equation Modeling Bi-Factor Analytic Approach To Uncovering What Burnout, Depression, And Anxiety Scales Measure, Irvin Sam Schonfeld, Jay Verkuilen, Renzo Bianchi

Publications and Research

In this study, we addressed the ongoing debate about what burnout and depression scales measure by conducting an exploratory structural equation modeling (ESEM) bifactor analysis. A sample of 734 U.S. teachers completed a survey that included the Center for Epidemiologic Studies Depression scale (CES-D-10), the depression module of the Patient Health Questionnaire (PHQ-9), the Generalized Anxiety Disorder scale (GAD-7), and the Maslach Burnout Inventory (MBI), which contains emotional exhaustion (EE), depersonalization (DP), and (diminished) personal accomplishment (PA) subscales. Job adversity and workplace support were additionally measured for the purpose of a nomological network analysis. EE, burnout’s core, was more highly …