Online Program Home
My Program

Abstract Details

Activity Number: 676 - Analysis and Reporting: Benefit-Risk and Robust Models
Type: Contributed
Date/Time: Thursday, August 2, 2018 : 10:30 AM to 12:20 PM
Sponsor: Section on Medical Devices and Diagnostics
Abstract #329782 Presentation
Title: Screening for Depression in Arthritis Populations in Self-Reported Questionnaire
Author(s): Jinxiang Hu*
Companies: University of Kansas Medical Center
Keywords: Depression; Structural Equation Models; Self-reported questionnaire; arthritis
Abstract:

Depression level in patients with arthritis may be contaminated by their arthritis status especially on self-reported somatic questions like fatigue and sleep disturbance. We are interested in examining the appropriateness for the the Centers for Epidemiological Studies-Depression (CESD) scale as a screening tool on general population with arthritis. We fit structural equation models (SEM)to the CESD data extracted from National Health and Nutrition Examination Survey (NHANES) I Epidemiologic Follow-up Study (NHEFS) and examined the direct effect of arthritis on each question in the CESD,controlling the latent depression level. Results showed that arthritis had a statistically significant effect on five questions in the CESD scale. However the magnitude of effect size were very small. So we conclude that the CESD scale can be used as a screening tool for the general arthritis population.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2018 program