Objectives: To describe the characteristics of individuals receiving outpatient rehabilitation for post-acute sequelae of SARS-CoV-2 infection (PASC). Further, to examine factors associated with variation in their psychological and cognitive functioning and health-related quality of life.
Design: Observational study.
Setting: Outpatient COVID-19 recovery clinic at a large, tertiary, urban health system in the US.
Participants: COVID-19 survivors with persistent sequelae (N=324).
Interventions: Not applicable.
Main Outcome Measures: Multivariable logistic and linear regression models were used to examine factors associated with COVID survivors' experience of severe anxiety, severe depression, post-traumatic stress disorder (PTSD), cognitive impairment, and self-reported health-related quality of life.
Results: About 38% of survivors seeking care for their persistent COVID symptoms suffered from severe anxiety, 31.8% from severe depression, 43% experiencing moderate to severe PTSD symptomology, and 17.5% had cognitive impairment. Their health-related quality of life was substantially lower than that of the general population (-26%) and of persons with other chronic conditions. Poor and African American/Black individuals experienced worse psychological and cognitive sequelae after COVID19 infection, even after controlling for age, sex, initial severity of the acute infection, and time since diagnosis.
Conclusions: Evidence of consistent disparities in outcomes by the patients' race and socioeconomic status, even among those with access to post-acute COVID rehabilitation care, are concerning and have significant implications for PASC policy and program development.
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http://dx.doi.org/10.1016/j.apmr.2022.09.013 | DOI Listing |
JMIR Form Res
December 2024
Imperial College Business School, Imperial College London, London, United Kingdom.
Background: In recent years, the adoption of large language model (LLM) applications, such as ChatGPT, has seen a significant surge, particularly among students. These artificial intelligence-driven tools offer unprecedented access to information and conversational assistance, which is reshaping the way students engage with academic content and manage the learning process. Despite the growing prevalence of LLMs and reliance on these technologies, there remains a notable gap in qualitative in-depth research examining the emotional and psychological effects of LLMs on users' mental well-being.
View Article and Find Full Text PDFJ Adv Nurs
December 2024
School of Nursing, Jilin University, Changchun, Jilin, People's Republic of China.
Background: In a response to the lack of public awareness of dementia, 'ageing in place' and 'dementia-friendly community' policies have been proposed, and a number of relevant studies have been carried out.
Aim: To map the evidence of public help for people with dementia in the community.
Design: A scoping review.
PLoS One
December 2024
Département de Psychologie, Université de Montréal, Montréal, Québec, Canada.
Cognitive biases have been studied in relation to schizophrenia and psychosis for over 50 years. Yet, the quality of the evidence linking cognitive biases and psychosis is not entirely clear. This umbrella-review examines the quality of the evidence and summarizes the effect sizes of the reasoning and interpretation cognitive biases studied in relation to psychotic characteristics (psychotic disorders, psychotic symptoms, psychotic-like experiences or psychosis risk).
View Article and Find Full Text PDFPsychother Res
December 2024
Department of Psychology, University of Oslo, Oslo, Norway.
Objective: Few reliable patient characteristics have emerged as significant predictors of outcomes for Social Anxiety Disorder (SAD). This study aimed to explore whether affect integration, metacognitions, and maladaptive schemas could serve as predictors of therapeutic outcomes for patients with SAD. Relationships between these psychological constructs and baseline SAD symptomatology were also examined.
View Article and Find Full Text PDFNeuropsychopharmacol Rep
December 2024
Graduate School of Health Sciences, Gunma University, Maebashi, Japan.
Background: Schizotypy refers to a personality type characterized by behavioral and cognitive abnormalities similar in nature but less severe than those of schizophrenia. Schizotypy often progresses to schizophrenia, so identifying risk factors may facilitate early schizophrenia diagnosis and improve treatment. Psychological distress may be associated with schizotypy, highlighting its importance.
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