An attempt to employ the Zung Self-Rating Depression Scale as a "lab test" to trigger follow-up in ambulatory oncology clinics: criterion validity and detection.
ABSTRACT We examined issues of criterion validity and detection of depression employing the Zung Self-Rating Depression Scale (ZSDS) as a "lab test" to trigger follow-up interviews of ambulatory oncology patients by oncology staff and the possibility of subsequent algorithm-based antidepressant treatment. Sixty oncology patients were screened with the ZSDS and then interviewed using the Mini-International Neuropsychiatric Interview (MINI). We examined the sensitivity and specificity of various cutoffs on the ZSDS and a briefer version, the Brief Zung Self-Rating Depression Scale (BZSDS) as they predicted results of the MINI, which was used as the criterion. Mean age of patients was 58.3 years (SD = 11.9). Thirty-two were female (53.3%) and 28 were male (46.7%). The correlation of the ZSDS (r = -0.66, P <.0001) and BZSDS (r = -0.57, P <.0001) with the MINI overall suggested acceptable levels of criterion validity. Additionally, we examined various cutoff scores on the ZSDS and BZSDS to explore the false negative and false positive rates that are associated with each. For example, using the mild cutoff on the Zung (score > 48) to determine depression or adjustment disorder, 14 false negatives and 2 false positives were found. When the more stringent moderate cutoff (score > 56) was used, 25 false negatives and 0 false positives were found. Oncology staff can utilize such data to make decisions about where to set cut-offs that trigger follow-up based on the amount of error that is allowable in their attempts to identify depressive symptoms in their patients. We discuss that such decisions might be based on many factors including the resources available in a particular site for follow-up or the comfort of particular oncologists and nurses managing and prescribing psychotropic medications, or in providing supportive counseling.
SourceAvailable from: Amor Aradilla-Herrero[Show abstract] [Hide abstract]
ABSTRACT: The most important factor which predisposes young people to suicide is depression, although protective factors such as self-esteem, emotional adaptation and social support may reduce the probability of suicidal ideation and suicide attempts. Several studies have indicated an elevated risk of suicide for health-related professions. Little is known, however, about the relationship between perceived emotional intelligence and suicide risk among nursing students. The main goals were to determine the prevalence of suicide risk in a sample of nursing students, to examine the relationship between suicide risk and perceived emotional intelligence, depression, trait anxiety and self-esteem, and to identify any gender differences in relation to these variables. Cross-sectional study of nursing students (n=93) who completed self-report measures of perceived emotional intelligence (Trait Meta-Mood Scale, which evaluates three dimensions: emotional attention, clarity and repair), suicide risk (Plutchik Suicide Risk Scale), self-esteem (Rosenberg Self-esteem Scale), depression (Zung Self-Rating Depression Scale) and anxiety (Trait scale of the State-Trait Anxiety Inventory). Linear regression analysis confirmed that depression and emotional attention are significant predictors of suicidal ideation. Moreover, suicide risk showed a significant negative association with self-esteem and with emotional clarity and repair. Gender differences were only observed in relation to depression, on which women scored significantly higher. Overall, 14% of the students were considered to present a substantial suicide risk. The findings suggest that interventions to prevent suicidal ideation among nursing students should include strategies to detect mood disorders (especially depression) and to improve emotional coping skills. In line with previous research the results indicate that high scores on emotional attention are linked to heightened emotional susceptibility and an increased risk of suicide. The identification and prevention of factors associated with suicidal behaviour in nursing students should be regarded as a priority.Nurse education today 07/2013; 34:520-525. DOI:10.1016/j.nedt.2013.07.001 · 0.91 Impact Factor
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ABSTRACT: Anxiety is often present in patients with depression. The aim of this study was to evaluate the impact of clustered depression and anxiety on mortality and rehospitalization in hospitalized patients with heart failure (HF). A total of 221 hospitalized patients with HF, who completed the questionnaires, were analyzed in this prospective study (mean age 62±13 years; 28% female). One-third patients had implanted cardiac devices. Depression was defined as a Zung Self-Rating Depression Scale index score of ≥60 and anxiety was defined as a State-Trait Anxiety Inventory score of ≥40 (male) or ≥42 (female). The primary outcome was the composite of death from any cause or rehospitalization due to worsened HF and refractory arrhythmia. Of the 221 HF patients, 29 (13%) had depression alone, 80 (36%) had anxiety alone, and 46 patients (21%) had both depression and anxiety. During an average follow-up of 41±21 months, patients with depression alone and those with clustered depression and anxiety were at an increased risk of the primary outcome [hazard ratio (HR) 2.24, 95% confidence interval (CI): 1.17-4.28, p=0.01 and HR 2.75, 95% CI: 1.51-4.99, p=0.01, respectively] compared to patients with no symptoms. Multivariate analysis after adjusting for age, gender, New York Heart Association functional class, B-type natriuretic peptide, device implantation, renal dysfunction, and left ventricular dysfunction showed clustered depression and anxiety, but not depression alone or anxiety alone, was an independent predictor of the primary outcome (HR 1.96, 95% CI: 1.00-3.27, p=0.04). Our results showed that clustered depression and anxiety were associated with worse outcomes in patients with HF.Journal of Cardiology 04/2014; DOI:10.1016/j.jjcc.2014.02.031 · 2.57 Impact Factor
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ABSTRACT: This study investigated the sleep quality of women with breast cancer and their relationship with quality of life and depression. Fifty women with breast cancer (clinical group) and a control group of other 50 women without the disease answered a clinical-demographic questionnaire and the Pittsburgh Sleep Quality Index. The clinical group also completed the Quality of Life Cancer-Survivor and the Brief Zung Self-Rating Depression Scale questionnaires. It was found that women with breast cancer had significantly more complaints of nocturia, heat and nighttime awakenings. The clinical group with poor quality of sleep reported impaired quality of life and more symptoms of depression. In general terms, sleep quality in women with breast cancer can predict their quality of life and psychological well-being.Psicologia Reflexão e Crítica 12/2011; 25(3):506-513. DOI:10.1590/S0102-79722012000300010 · 0.09 Impact Factor