![]() ![]() © The Author(s) 2013 Reprints and permissions: .uk/journalsPermissions.nav. These red flags could assist with identification of at-risk patients on admission to or discharge from hospital, thereby enabling targeting of interventions.Īnxiety coronary heart disease depression risk factors screening. PINK is the must-shop destination for the cutest bras, panties, apparel, beauty products, accessories, and more Shop our favorite collections today, only from PINK. The results highlight several potential red flags for increased risk of persistent anxiety or worsening depressive symptoms after a cardiac event, including demographic, psychosocial, and behavioural indicators. Additionally, diabetes, and other comorbidities were red flags for persistent anxiety. A mental health history, younger age, smoking, financial stress, poor self-rated health, and social isolation were red flags for persistent anxiety and worsening depression. Inhospital anxiety symptoms tended to persist over time, whereas inhospital depression symptoms resolved for some patients and worsened for others. Growth mixture modelling was used to identify the trajectories of anxiety and depression over the 6 months after the acute event, and post-hoc tests identified predictors of persistent or worsening symptoms.įor both anxiety and depression, three common symptom trajectories were identified. Anxiety and depression were assessed using the Hospital Anxiety and Depression Scale. In this study, 160 cardiac patients consecutively admitted to two hospitals in regional Victoria, Australia, were interviewed in hospital and 2 and 6 months after discharge. Most previous research has focussed on metropolitan patients, hence the need for studies of regional and rural dwellers. It is therefore important to identify the predictors, or red flags, of persistent or worsening anxiety and depression symptoms. While early symptoms of anxiety and depression resolve for many patients soon after an acute cardiac event, the persistence or worsening of symptoms indicates increased mortality risk. The first column is supposed to be 'Default' and the last one should be 'Republic'. ![]()
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