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
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Research Support, Non-U.S. Gov't
MeSH terms
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Adult
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Aged
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Aged, 80 and over
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Autoimmune Diseases / diagnosis
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Autoimmune Diseases / epidemiology*
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Autoimmune Diseases / psychology
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Comorbidity
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Cross-Sectional Studies
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Depression / epidemiology
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Depression / psychology*
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Depressive Disorder / diagnosis
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Depressive Disorder / epidemiology*
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Fatigue / epidemiology
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Fatigue / psychology*
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Female
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Humans
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Mental Health
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Middle Aged
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Predictive Value of Tests
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Severity of Illness Index
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Sickness Impact Profile
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Social Support
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Stress, Psychological / epidemiology
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Stress, Psychological / psychology*
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Taiwan / epidemiology
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Young Adult