Risk Factors for Depressive Symptoms in Persons with Chronic Schizophrenia

Wednesday, 24 July 2013

Chiu-Yueh Yang, PhD, RN
School of Nursing, National Yang-Ming University, Taipei, Taiwan
Su-Chen Lo, MSN, RN
Bali Psychiatric Center , Department of Health, New Taipei, Taiwan
Yi-Hsuan Chiang, RN
emergency department, Taipei City Hospital, Taipei, Taiwan

Learning Objective 1: The learner will be able to understand the predictors of depressive Symptom in chronic schizophrenia patients.

Learning Objective 2: The learner will be able to understand the prevalence of depressive Symptom in chronic schizophrenia patients.

Purpose: This study was to explore the predictors of depressive Symptom in chronic schizophrenia patients.

Methods: Purposive sampling was employed to recruit150 participants from a psychiatric center in northern Taiwan. Structural questionnaires used in this study including demographic data, the Characteristics of Auditory Hallucination Questionnaire(CAHQ), the Beck Anxiety Inventory (BAI), and the Beck Depression Inventory–II(BDI-II) were administered to all participants. Participants with a score ≥14 on BDI-II were classified as having clinically depressive symptoms. Logistic regression was employed to examine the significant predictors of depressive symptoms for schizophrenia patients.

Results: In our study 79 patients with schizophrenia out of 186 suffered from concurrent depression (42.5%). 33 of them had severe depression (17.7%) and 22 patients had mild depression (11.8%). Risk factors for ≥14 depressive symptoms in chronic schizophrenia patients: number of hospitalization (odds ratio = 1.127, p = .035), Characteristics of Auditory Hallucination Questionnaire (odds ratio = 1.071, p = .008), and BAI (odds ratio = 1.076, p< .001) were significant predictors of depressive symptoms in schizophrenia patients.

Conclusion: Psychiatric workers need to understand and educate schizophrenia patients to management auditory hallucination and anxious mood, which could consequently decrease the depressive symptoms for patients.