Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Classification of depression

J Angst, H Grigo, M Lanz

    Acta Psychiatrica Scandinavica. Supplementum
    |January 1, 1981
    PubMed
    Summary
    This summary is machine-generated.

    Depression classification requires more than just symptoms; this study proposes a new model based on illness course and genetic factors. Validating this approach with external criteria is crucial for accurate diagnosis and treatment.

    Related Concept Videos

    You might also read

    Related Articles

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

    Sort by
    Same author

    The relationship between attention deficit hyperactivity disorder, bipolarity and mixed features in major depressive patients: Evidence from the BRIDGE-II-Mix Study.

    Journal of affective disorders·2019
    Same author

    Bipolar spectrum in major depressive disorders.

    European archives of psychiatry and clinical neuroscience·2018
    Same author

    Aggressiveness in depression: a neglected symptom possibly associated with bipolarity and mixed features.

    Acta psychiatrica Scandinavica·2017
    Same author

    Hypomania Checklist-32 - cross-validation of shorter versions screening for bipolar disorders in an epidemiological study.

    Acta psychiatrica Scandinavica·2017
    Same author

    Difficulties of diagnosing mood disorders correctly.

    Acta psychiatrica Scandinavica·2017
    Same author

    Screening for bipolar disorders: A public health issue.

    Journal of affective disorders·2016
    Same journal

    Use of psychotropic drugs during pregnancy and breast-feeding.

    Acta psychiatrica Scandinavica. Supplementum·2015
    Same journal

    Getting depression clinical practice guidelines right: time for change?

    Acta psychiatrica Scandinavica. Supplementum·2013
    Same journal

    Manipulating melatonin in managing mood.

    Acta psychiatrica Scandinavica. Supplementum·2013
    Same journal

    Chronobiology of mood disorders.

    Acta psychiatrica Scandinavica. Supplementum·2013
    Same journal

    It is time we managed depression: the emerging role of chronobiology. Preface.

    Acta psychiatrica Scandinavica. Supplementum·2013
    Same journal

    Lifestyle management of unipolar depression.

    Acta psychiatrica Scandinavica. Supplementum·2013
    See all related articles

    Area of Science:

    • Psychiatry
    • Clinical Psychology
    • Genetics

    Background:

    • Depression is a complex reaction pattern seen across psychiatric disorders.
    • Current depressive symptomatology alone is insufficient for valid classification.
    • Etiology and pathogenesis of depression remain largely unknown, limiting existing nosological approaches.

    Purpose of the Study:

    • To propose a novel classification system for depression based on illness course and genetic criteria.
    • To address the limitations of current depression classification systems that rely solely on symptomatology.
    • To explore the utility of external validation criteria for depression classification.

    Main Methods:

    • A preliminary study involving 100 patients diagnosed with depression.

    Related Experiment Videos

  • Comparison of clinical diagnoses with established criteria sets (Feighner et al., Taylor and Abrams, DSM-III).
  • Development and application of a proposed classification system focusing on course and genetic factors.
  • Main Results:

    • Clinical diagnoses of depressive patients were evaluated against multiple diagnostic criteria.
    • The proposed classification based on course and genetics offers a new perspective on categorizing depressive syndromes.
    • Preliminary findings suggest the need for external validation in depression classification.

    Conclusions:

    • A classification system for depression should incorporate illness course and genetic criteria for improved validity.
    • Existing classification systems for depression have limitations due to the unspecific nature of depressive symptoms.
    • Further research is needed to validate the proposed classification using external criteria such as biochemical and neurophysiological measures.