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Related Experiment Videos

Atopic Dermatitis, Depression, and Suicidality.

Mathew N Nicholas1, Melinda J Gooderham2,3

  • 11 University of Toronto, Faculty of Medicine, Toronto, ON, Canada.

Journal of Cutaneous Medicine and Surgery
|March 17, 2017
PubMed
Summary
This summary is machine-generated.

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Atopic dermatitis (AD) patients face higher risks of depression and suicidality. Disease severity and female sex increase these risks, while older age is linked to depression. Further research is needed.

Area of Science:

  • Dermatology
  • Psychiatry
  • Epidemiology

Background:

  • Atopic dermatitis (AD) is a prevalent skin condition.
  • AD is linked to an underappreciated increased risk of depression and suicidality.
  • Identifying at-risk patients is crucial for timely intervention.

Purpose of the Study:

  • To review risk factors associated with depression and suicidality in patients with atopic dermatitis.
  • To explore the influence of disease severity, age, sex, and comorbidities on psychiatric risk.
  • To highlight the need for further research, particularly concerning suicidality in AD.

Main Methods:

  • Literature review of studies investigating risk factors for depression and suicidality in AD patients.
  • Analysis of associations between AD severity, age, sex, and psychiatric comorbidities.
Keywords:
atopicattempted suicidedepressiondermatitisrisk factorssuicidal ideationsuicide

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  • Synthesis of current evidence to identify key risk indicators.

    • Main Results:

    • Increasing severity of atopic dermatitis is associated with higher risks of both depression and suicidality.
    • Female sex is also linked to an increased risk for depression and suicidality.
    • Increasing age is associated with an increased risk for depression, but not specifically suicidality.

    Conclusions:

    • Disease severity and female sex are significant risk factors for depression and suicidality in AD.
    • Age is a risk factor for depression in AD patients.
    • Validated screening tools incorporating these factors could aid in identifying at-risk individuals.