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.
Acknowledgment
We are particularly indebted to the women who took part in this study.
Disclosure statement
No competing financial interests exist with regard to this study.