Epidemiology of Mental Health Disorders and Ageing Research Group, Sant Joan de Déu Research Institute, Esplugues de Llobregat, Spain; Research, Teaching, and Innovation Unit, Parc Sanitari Sant Joan de Déu, Carrer Doctor Antoni Pujada, 42, 08830, Sant Boi de Llobregat, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Medicine, Universitat de Barcelona, Barcelona, Spain.
Published: February 2023
AI Article Synopsis
Article Abstract
We estimated all-cause and cause-specific mortality associated with mental disorder diagnoses using outpatient and inpatient registers from Catalonia. A historical register-based cohort was used, including 516,944 adults diagnosed with psychotic, mood, or anxiety disorders in 2005-2016, and their matched controls. Six psychiatric groups were created using hierarchical rules. Mortality rate ratios (MRRs), calculated with stratified Cox proportional-hazards models adjusted for mental comorbidity, ranged from 2.45 (95%CI = 2.28-2.64) for other non-organic psychoses to 1.11 (95%CI = 1.08-1.15) for anxiety disorders. Higher MRRs were found in males compared to females with non-organic psychoses, other affective and anxiety disorders, and the excess risk of death was higher in younger ages for all the diagnoses except for schizophrenia. Overall, suicide mortality rates were higher for those with mental disorder diagnoses. The highest MRRs due to natural causes were found for metabolic disorders in schizophrenia, infectious diseases in other non-organic psychoses, and respiratory diseases for bipolar, other affective and anxiety disorders. In the most comprehensive study in Southern Europe, excess mortality is observed not only in people with diagnoses of severe mental disorders, but also in those with other mental disorder diagnoses considered less severe, with an important contribution of both natural and unnatural causes.
Social support is widely beneficial for individuals suffering from mental health disorders. Preliminary work suggests that it is influential in the treatment of obsessive-compulsive disorder (OCD), but no studies have investigated the importance of social support as it relates to readiness to change (RTC, a relevant variable in treatment-seeking populations. The present study aimed to investigate this relationship as well as broadly characterize support-seeking experiences in those with OCD.
Department of Neurology, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China.
Background: Malnutrition, post-stroke depression (PSD), post-stroke anxiety (PSA), and post-stroke fatigue (PSF) in stroke survivors have complex relationships and are associated with adverse stroke outcomes.
Aims: This research aims to explore the temporal and directional relationships between malnutrition, PSD, PSA, and PSF after stroke in older adults.
Methods: Patients aged 65 years and older with their first ischemic stroke from two centers were selected and assessed at baseline, 3 months and 12 months.
Antidepressant medication adherence patterns are inconsistent in adolescents with anxiety and related disorders, and the clinical and demographic features predicting adherence are poorly understood. In an ongoing single-site prospective trial involving adolescents (aged 12-17) with the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition anxiety disorders treated with escitalopram, adherence was measured for 12 weeks using electronic monitoring caps. Adherence patterns were examined using qualitative and unsupervised clustering approaches, and predictors of adherence were evaluated using logistic regression, with demographic (age, sex, and race) and clinical variables (e.
Objectives: Explore short-term effects of "The Caregiver Pathway," an intervention for family caregiver follow-up, on Post-Intensive Care Syndrome symptoms among families (PICS-F).
Design: A randomized controlled trial.
Setting: A medical ICU at a Norwegian University Hospital.
Anxiety disorders are one of the most common mental health pathologies in the world. They require searc h and development of novel effective pharmacologically active substances. Thus, the development of new approaches to the search for anxiolytic substances by artificial intelligence methods is an important area of modern bioinformatics and pharmacology.
