The clinically crucial predictors of depression in women with systemic autoimmune diseases

Health Care Women Int. 2020 Mar;41(3):293-307. doi: 10.1080/07399332.2019.1623796. Epub 2019 Jun 27.

Abstract

The researchers' aim of this study was to identify and quantify the useful, clinically crucial predictors of depression in Taiwanese women with systemic autoimmune diseases (SADs). We used a cross-sectional method. A total of 241 Taiwanese women with SADs between 21 and 85 years of age participated in the study. Analysis revealed that the strongest predictors of depression in participants were: perceived stress, fatigue, mental health, physical health, chronic-disease-related comorbidities, self-perceived SAD severity, and social support. The model used in the present study explained 70.9% of the variance in the depression.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Autoimmune Diseases / diagnosis
  • Autoimmune Diseases / epidemiology*
  • Autoimmune Diseases / psychology
  • Comorbidity
  • Cross-Sectional Studies
  • Depression / epidemiology
  • Depression / psychology*
  • Depressive Disorder / diagnosis
  • Depressive Disorder / epidemiology*
  • Fatigue / epidemiology
  • Fatigue / psychology*
  • Female
  • Humans
  • Mental Health
  • Middle Aged
  • Predictive Value of Tests
  • Severity of Illness Index
  • Sickness Impact Profile
  • Social Support
  • Stress, Psychological / epidemiology
  • Stress, Psychological / psychology*
  • Taiwan / epidemiology
  • Young Adult