Background: Survivors of Intensive Care are known to be at increased risk of developing longer-term psychopathology issues.

Aim: The aim of this study was to determine the prevalence of posttraumatic stress disorder, anxiety and depression among COVID-19 survivors 1 year after discharge from an Italian Intensive Care Unit (ICU).

Methods: We conducted a cross-sectional study between April and August 2021 among 86 adults COVID-19 survivors in Lecco (Italy). The PTSD was measured using the PTSD-checklist (PCL), HADS scale was used to measure anxiety and depression. Chi-square test or Fisher exact two-tailed tests were used to test for associations and the multiple logistic regressions model to determine factors that were independently associated with the outcome variables.

Results: The mean PTSD, anxiety and depression scores were (38.6   6.3), (5.1   3.8), (6.9   3.7) respectively. Based on cut-off scores, the prevalence of PTSD (PCL ≥ 45), anxiety (HADs score ≥ 8) and depression (HADs score ≥ 8) were (n = 20, 23.2%) (n = 22, 25.6%) and (n = 38, 44.2%) respectively. COVID-19 survivors who experienced a decreased level of exercise post-ICU discharge were more likely to show symptoms of depression (AOR = 2.57; 95%CI: 1.31-6.85, p = 0.027) and anxiety (AOR = 3.19; 95%CI: 1.29-8.32, p = 0.021) compared to those whose exercise remained the same post-ICU discharge. In addition Older COVID survivors were more likely to show symptoms of depression (AOR = 8.2, 95% CI: 1.97-24.45, p = 0.001) and anxiety (AOR = 3.26; 95%CI: 1.12-8.1, p = 0.022) compared to younger ones.

Conclusions: Our findings show that PTSD, anxiety and depression are common among the COVID-19 survivors in Lecco.

Nursing Implications: Nurses play a key role in the public health response to such crises, delivering direct patient care and reducing the risk of exposure to the infectious disease.

Download full-text PDF

Source
http://dx.doi.org/10.7429/pi.2021.744264aDOI Listing

Publication Analysis

Top Keywords

anxiety depression
20
covid-19 survivors
20
intensive care
12
stress disorder
8
anxiety
8
disorder anxiety
8
depression
8
depression covid-19
8
survivors year
8
ptsd anxiety
8

Similar Publications

Purpose: As the global population of older adults rises, the United Nations Decade of Healthy Ageing (2021-2030) advocates for disease prevention, management, and enhancing overall wellbeing in older adults. We reviewed the MEDLINE literature under the MeSH term "music therapy" (MT), for its role in promoting healthy ageing.

Methods: A systematic search of the MEDLINE biomedical database (Ovid) was conducted using "MT" and "Ageing" as keywords, retrieving relevant full-text studies in English.

View Article and Find Full Text PDF

A preliminary exploration of establishing a mice model of hypoxic training.

Sci Rep

January 2025

Institute of Brain Diseases and Cognition, School of Medicine, Xiamen University, Xiamen, 361102, Fujian, China.

Altitude training has been widely adopted. This study aimed to establish a mice model to determine the time point for achieving the best endurance at the lowland. C57BL/6 and BALB/c male mice were used to establish a mice model of hypoxic training with normoxic training mice, hypoxic mice, and normoxic mice as controls.

View Article and Find Full Text PDF

Temporal Dynamics of Affective Scene Processing in the Healthy Adult Human Brain.

Neurosci Biobehav Rev

January 2025

Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA; Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany. Electronic address:

Understanding how the brain distinguishes emotional from neutral scenes is crucial for advancing brain-computer interfaces, enabling real-time emotion detection for faster, more effective responses, and improving treatments for emotional disorders like depression and anxiety. However, inconsistent research findings have arisen from differences in study settings, such as variations in the time windows, brain regions, and emotion categories examined across studies. This review sought to compile the existing literature on the timing at which the adult brain differentiates basic affective from neutral scenes in less than one second, as previous studies have consistently shown that the brain can begin recognizing emotions within just a few milliseconds.

View Article and Find Full Text PDF

Understanding structural-functional connectivity coupling in patients with major depressive disorder: A white matter perspective.

J Affect Disord

January 2025

Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong 264000, PR China; Shandong Provincial Key Medical and Health Laboratory of Intelligent Diagnosis and Treatment for Women's Diseases (Yantai Yuhuangding Hospital), Yantai, Shandong 264000, PR China; Big Data and Artificial Intelligence Laboratory, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong 264000, PR China. Electronic address:

Purpose: To elucidate the structural-functional connectivity (SC-FC) coupling in white matter (WM) tracts in patients with major depressive disorder (MDD).

Methods: A total of 178 individuals diagnosed with MDD and 173 healthy controls (HCs) were recruited for this study. The Euclidean distance was calculated to assess SC-FC coupling.

View Article and Find Full Text PDF

Introduction/objective: Emotional, mental, or psychological distress, defined as increased symptoms of depression, anxiety, and/or stress, is common in patients with chronic diseases, such as cardiovascular (CV) disease (CVD).

Methods: Literature was reviewed regarding data from studies and meta-analyses examining the impact of emotional stress on the occurrence and outcome of several CVDs (coronary disease, heart failure, hypertension, arrhythmias, stroke). These influences' pathophysiology and clinical spectrum are detailed, tabulated, and pictorially illustrated.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!