Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Depression: Overview

Depression: Overview

Depression is a prevalent mental illness marked by persistent sadness and lack of interest in previously enjoyable activities. It can take several forms, including major depression, persistent depressive disorder, and bipolar I and II disorders. Symptoms range from emotional changes like chronic worry to physical changes like sleep disturbances and suicidal thoughts. From a neurobiological perspective, depression is believed to be triggered by abnormalities in the brain's prefrontal cortex,...

Depressive Disorders: MDD and Dysthymia

Depressive Disorders: MDD and Dysthymia

Depressive disorders are a group of mental health conditions characterized by pervasive feelings of sadness, diminished pleasure in life, and a significant impact on daily functioning. These conditions are most prevalent in individuals during their 30s and affect women at twice the rate of men. Contrary to popular belief, younger individuals are generally more susceptible to these disorders than older adults. Two key types of depressive disorders include Major Depressive Disorder (MDD) and...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Daytime sleepiness among Midwestern firefighters.

Archives of environmental & occupational health·2020

Same author

Alcohol trajectories among biracial black subgroups: Testing the intermediate substance use hypothesis.

Addictive behaviors·2019

Same author

Erratum to: Methods for evaluating medical tests and biomarkers.

Diagnostic and prognostic research·2019

Same author

The effect of sleep pattern changes on postpartum depressive symptoms.

BMC women's health·2018

Same author

A comparison of bivariate, multivariate random-effects, and Poisson correlated gamma-frailty models to meta-analyze individual patient data of ordinal scale diagnostic tests.

Biometrical journal. Biometrische Zeitschrift·2017

Same author

The relationship between employment status and depression symptomatology among women at risk for postpartum depression.

Women's health (London, England)·2017

Search research articles

Related Experiment Video

Updated: Jun 3, 2026

Design and Implementation of an fMRI Study Examining Thought Suppression in Young Women with, and At-risk, for Depression

Design and Implementation of an fMRI Study Examining Thought Suppression in Young Women with, and At-risk, for Depression

Published on: May 19, 2015

Problems with a diagnostic depression interview in a postpartum depression trial.

Dwenda Gjerdingen¹, Patricia McGovern, Bruce Center

¹Department of Family Medicine and Community Health, University of Minnesota, St. Paul, MN 55103, USA. dgjerdin@umphysicians.umn.edu

Journal of the American Board of Family Medicine : JABFM

|March 9, 2011

Summary

This summary is machine-generated.

Using diagnostic interviews like the Structured Clinical Interview for DSM Disorders (SCID) in postpartum depression trials can lead to selection bias. Alternative screening tools like the Patient Health Questionnaire (PHQ-9) may offer broader insights into depression symptoms.

More Related Videos

Use of a Psychophysiological Script-driven Imagery Experiment to Study Trauma-related Dissociation in Borderline Personality Disorder

Use of a Psychophysiological Script-driven Imagery Experiment to Study Trauma-related Dissociation in Borderline Personality Disorder

Published on: March 8, 2018

Related Experiment Videos

Last Updated: Jun 3, 2026

Design and Implementation of an fMRI Study Examining Thought Suppression in Young Women with, and At-risk, for Depression

Design and Implementation of an fMRI Study Examining Thought Suppression in Young Women with, and At-risk, for Depression

Published on: May 19, 2015

Use of a Psychophysiological Script-driven Imagery Experiment to Study Trauma-related Dissociation in Borderline Personality Disorder

Use of a Psychophysiological Script-driven Imagery Experiment to Study Trauma-related Dissociation in Borderline Personality Disorder

Published on: March 8, 2018

Area of Science:

Psychiatry
Clinical Psychology
Perinatal Mental Health

Background:

Diagnostic and Statistical Manual (DSM)-IV based depression interviews are crucial for treatment trials but can burden participants.
The Structured Clinical Interview for DSM Disorders (SCID) is a common diagnostic tool.
Participant burden is a significant consideration in clinical trial design.

Purpose of the Study:

To evaluate the use of the SCID depression module in a postpartum depression treatment trial.
To identify challenges and limitations associated with using the SCID in this population.
To compare SCID results with a self-report screening tool.

Main Methods:

A prospective cohort study involving 506 mothers from primary care clinics.
Participants completed the SCID depression module and the 9-item Patient Health Questionnaire (PHQ-9) at multiple postpartum time points.
Data collection occurred over 9 months postpartum.

Main Results:

Only 8.9% of women had a positive SCID diagnosis, compared to 22.1% positive PHQ-9 scores.
SCID noncompletion occurred in 14.8% of participants, with noncompleters being demographically disadvantaged.
Inconsistent SCID/PHQ-9 results were observed, with functionally impaired women sometimes having negative SCID scores.

Conclusions:

Mandatory diagnostic interviews like the SCID can introduce selection bias and lead to missed diagnoses in research.
The diagnostic accuracy of the SCID may be compromised by practical limitations in real-world research settings.
Researchers should carefully consider the implications of using DSM-IV-based interviews in clinical trials, especially in vulnerable populations.