Search results for "depressive disorder"
showing 10 items of 445 documents
Exercise for depression in older adults: a meta-analysis of randomized controlled trials adjusting for publication bias
2016
OBJECTIVE: To evaluate the antidepressant effects of exercise in older adults, using randomized controlled trial (RCT) data. METHODS: We conducted a meta-analysis of exercise in older adults, addressing limitations of previous works. RCTs of exercise interventions in older people with depression (≥ 60 years) comparing exercise vs. control were eligible. A random-effects meta-analysis calculating the standardized mean difference (SMD) (95% confidence interval [95%CI]), meta-regressions, and trim, fill, and fail-safe number analyses were conducted. RESULTS: Eight RCTs were included, representing 138 participants in exercise arms and 129 controls. Exercise had a large and significant effect on…
Effect of comorbid anxiety, depressive, and personality disorders on treatment outcome of somatoform disorders
1999
Comorbid mental disorders of DSM-IV axis I and axis II have repeatedly been found to be a negative predictor for the treatment of axis I disorders, although recent contrary findings exist. Little is known about the effect of comorbidity on the therapy outcome of somatoform disorders. We compared three types of comorbidity, (1) personality disorders (PDs), (2) major depression (MDD) and anxiety (ANX) disorders, and (3) PDS and MDD and ANX, with regard to their relevance for the treatment outcome of somatoform disorders. One hundred twenty-six inpatients were assessed at least 4 weeks before admission to treatment, upon admission, and again at discharge. Somatoform, hypochondriacal, and depre…
Predicting new major depression symptoms from long working hours, psychosocial safety climate and work engagement: a population-based cohort study
2021
ObjectivesThis study sought to assess the association between long working hours, psychosocial safety climate (PSC), work engagement (WE) and new major depression symptoms emerging over the next 12 months. PSC is the work climate supporting workplace psychological health.SettingAustralian prospective cohort population data from the states of New South Wales, Western Australia and South Australia.ParticipantsAt Time 1, there were 3921 respondents in the sample. Self-employed, casual temporary, unclassified, those with working hours <35 (37% of 2850) and participants with major depression symptoms at Time 1 (6.7% of 1782) were removed. The final sample was a population-based cohort of 1084…
Recommendations of the treatment-resistant depression expert center network for promoting tobacco smoking cessation based on the results from the rea…
2022
Abstract Background Tobacco smoking has been associated with suicide, impulsivity and depression in non-clinical populations with differences across sexes. Objective To determine the role of tobacco smoking in Treatment-Resistant Depression (TRD) according to sex in a precision-medicine approach. Method The FACE-TRD cohort is a national cohort of TRD patients recruited in 13 resistant depression expert centers between 2014 and 2021 and followed-up at 6 months. A standardized one-day long comprehensive battery was carried out, including trained-clinician and patient-reported outcomes, and patients were reevaluated at 6 months on their smoking and psychiatric hospitalization outcomes. Results…
Positive and Negative Affect Schedule (PANAS): psychometric properties of the online Spanish version in a clinical sample with emotional disorders
2020
Abstract Background The Positive and Negative Affect Schedule (PANAS) is the most widely and frequently used scale to assess positive and negative affect. The PANAS has been validated in several languages, and it has shown excellent psychometric properties in the general population and some clinical samples, such as forensic samples, substance users, and adult women with fibromyalgia. Nevertheless, the psychometric properties of the scale have not yet been examined in clinical samples with anxiety, depressive, and adjustment disorders. In addition, the proliferation of Internet-based treatments has led to the development of a wide range of assessments conducted online with digital versions …
The profiles of health care utilization among a non-depressed population and patients with depressive symptoms with and without clinical depression
2019
Objective: To examine health service (HS) utilization profiles among a non-depressive population and patients with depressive symptoms (DS) with and without clinical depression. Design, subjects and setting: The study population was based on primary care patients with DS scoring ≥10 in the 21-item Beck Depression Inventory (BDI) and who were at least 35 years old and had been referred to depression nurse case managers (n = 705). Their psychiatric diagnosis was confirmed with the Mini-International Neuropsychiatric Interview (M.I.N.I.). Of these patients, 447 had clinical depression. The number of patients with DS without clinical depression was 258. The control group consisted of a random s…
Attentional biases toward emotional images in the different episodes of bipolar disorder: an eye-tracking study.
2014
Attentional biases toward emotional information may represent vulnerability and maintenance factors in bipolar disorder (BD). The present experimental study examined the processing of emotional information in BD patients using the eye-tracking technology. Bipolar patients in their different states (euthymia, mania, depression) simultaneously viewed four pictures with different emotional valence (happy, neutral, sad, threatening) for 20 s while their eye movements were monitored. A group of healthy individuals served as the control. The data revealed the following: (i) a decrease in attention to happy images in BD patients in their depressive episodes compared to healthy individuals, and (ii…
The Physical and Mental Well-Being of Medical Doctors in the Silesian Voivodeship
2022
Physical and mental well-being are important determinants of medical doctors’ lives, including their professional activity, which has a direct impact on the health and lives of patients. The aim of the study was to assess the health condition of medical doctors from the Silesian Voivodeship. The physical health condition, including the prevalence of chronic diseases, drug therapy, and pro-health activities, was assessed. Data on mental health according to the HADS scale (hospital anxiety and depression scale) referred to the selected socio-economic and professional aspects of life, as well as life and job satisfaction. The doctors most often reported diseases of the circulatory system and d…
Intervención cognitivo conductual para mujeres con trastorno depresivo persistente: sintomatología ansiosa, depresiva y satisfacción vital
2021
Antecedentes. El trastorno depresivo persistente (TDP) es una afectación del estado de ánimo frecuente en mujeres. Se ha empleado la terapia cognitivo conductual (TCC), la terapia cognitiva basada en mindfulness y la terapia centrada en la compasión de forma aislada. Objetivos. Evaluar la eficacia de un programa de intervención grupal multicomponente. Método. Tras la firma del consentimiento informado, las participantes (n = 6) respondieron (pre, post intervención y seguimiento) cuestionarios sobre: ansiedad, depresión, satisfacción con la vida y satisfacción con la intervención. Resultados. Nuestros resultados previos al tratamiento muestran niveles elevados de sintomatología ansiosa y dep…
MFCC-based Recurrent Neural Network for automatic clinical depression recognition and assessment from speech
2022
Abstract Clinical depression or Major Depressive Disorder (MDD) is a common and serious medical illness. In this paper, a deep Recurrent Neural Network-based framework is presented to detect depression and to predict its severity level from speech. Low-level and high-level audio features are extracted from audio recordings to predict the 24 scores of the Patient Health Questionnaire and the binary class of depression diagnosis. To overcome the problem of the small size of Speech Depression Recognition (SDR) datasets, expanding training labels and transferred features are considered. The proposed approach outperforms the state-of-art approaches on the DAIC-WOZ database with an overall accura…