Assessment of Psychological Responses and Related Factors of Discharged Patients Who Have Been Hospitalized With Covid-19

Cansel, Neslihan; Tetik, Burcu Kayhan; Demir, Gülsüm; Kurt, Osman; Evren, Bahri; Yücel, Aytaç

doi:10.24869/psyd.2021.611

Cited by 4 publications

(3 citation statements)

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“…Mental-health effects may be difficult to assess in long COVID patients, and the underlying mechanisms are probably complex; there are data suggesting an association between smoking and sedative use [15] (significant for female gender), a relationship that might not be casual but that rather might reflect anxious behavior. Furthermore, the SARS-CoV-2 epidemic seems to have had an indirect effect on mental health and even somatic symptoms, as was shown in a Greek cohort [80]; similarly, a Turkish transverse study reported that smoking predicted the levels of anxiety experienced by recovered COVID patients who had been hospitalized (OR 4, 95% CI 1.2-12.5) [36], but the authors hypothesize that tobacco use is a coping strategy, rather than a cause. Smoking was found to be associated with sleep disorders, anxiety, and depression in a Chinese cohort that enrolled previously hospitalized COVID-19 patients [39] one year after their discharge, and various mental-health conditions are known to be associated with chronic respiratory diseases [81].…”

Section: Discussionmentioning

confidence: 92%

Looking at the Data on Smoking and Post-COVID-19 Syndrome—A Literature Review

Trofor,

Robu Popa,

Melinte

et al. 2024

JPM

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Long COVID is a recently described entity that is responsible for significant morbidity and that has consequences ranging from mild to life-threatening. The underlying mechanisms are not completely understood, and treatment options are currently limited, as existing data focus more on risk factors and predictors. Smoking has been reported as a risk factor for poor outcomes of acute SARS-CoV-2 infection and seems to also play a role in mediating post-COVID-19 symptoms. We aimed to review relevant work addressing the interaction between smoking and long COVID in order to characterize smoking’s role as a risk factor and possibly identify new research directions. Methods: The PubMed/MEDLINE database was searched using the keywords ‘smoking’, ‘long COVID’, and ‘post-acute COVID’ to identify relevant English-language articles published up to October 2023. Results and conclusions: From the 374 initial hits, a total of 36 papers were deemed relevant to the aim of the review. There was significant variability concerning the ways in which tobacco usage was quantified and reported; still, there is compelling evidence linking smoking to an increased risk of developing manifestations of post-acute-COVID disease. Some clinical conditions, such as dyspnea, cardiovascular symptoms, and cognitive or mental-health impairment, seem to be relatively strongly associated with smoking, while the connection between smoking and upper-airway involvement seems less certain. The available data support recommending smoking cessation as a clinical tool for the prevention of long COVID.

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Section: Discussionmentioning

confidence: 92%

Looking at the Data on Smoking and Post-COVID-19 Syndrome—A Literature Review

Trofor,

Robu Popa,

Melinte

et al. 2024

JPM

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“…Zung in 1965. [11][12][13] The SDS is composed of 20 question entries that respond to 4 specific symptoms of psychotic, somatic disorders, psychomotor disorders, and depressive psychological disorders. The score of the 20 entries is the total score, and the standard score is equal to the total score multiplied by the integer part of 1.25, the smaller the score the better.…”

Section: Measurement Toolsmentioning

confidence: 99%

Prevalence, risk factors, and clinical correlates of anxiety, depression, and sleep disorders in chaperones for children in the emergency department in China during COVID-19

et al. 2023

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The outbreak of novel coronavirus pneumonia in Wuhan, Hubei Province, in 2019 and its rapid spread across the country caused severe public panic in China. The purpose of this study was to investigate the mental health problems of children's chaperones at the emergency clinic during the coronavirus disease 2019 (COVID-19) outbreak and to analyze the related influencing factors. A total of 260 chaperones for children in the emergency department participated in this cross-sectional study through the questionnaire constellation platform. The survey period was from February to June 2021. Information collected included demographic data and mental health scales. The Self-Assessment Scale for Anxiety, the Self-Rating Scale for Depression, and the Pittsburgh Sleep Quality Index assessed anxiety, depression, and sleep quality, respectively. Logistic regression was used to analyze influential factors associated with mental health problems. The prevalence of depression, anxiety, and sleep disorders among family members accompanying children attending the emergency room was 41.54%, 20.00%, and 93.08%, respectively, with 21.54% of family members suffering from moderate sleep disorders. Univariate analysis showed that being in Wuhan or not during the city closure (X 2 = 8.61, P < .01) was strongly associated with the occurrence of depression; female (X 2 = 4.87, P = .03), working or not (X 2 = 6.39, P = .01) and fear of going to the hospital (X 2 = 7.80, P = .01) were key factors for the occurrence of anxiety symptoms; Knowledge of transmission routes and prevention of COVID-19 (X 2 = 12.56, P = .03) was a key factor for sleep disorders; logistic stepwise regression analysis showed that fear of going to the hospital was a risk factor for anxiety symptoms (odds ratio = 2.51, P < .01, 95% confidence interval = 1.30-4.85). Our findings suggest that mental health problems were prevalent among family members accompanying children attending the emergency department during the COVID-19 outbreak, with a high prevalence of sleep disturbances in particular. Relevant factors included presence or absence in Wuhan during the outbreak closure, gender, work or absence, and fear of hospital visits. There is a need to focus on the mental health distress of the chaperones for children in the emergency department, and to provide timely intervention and diversion.

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“…Study Characteristics Study ID Country Aim Study Design Data Collection Period Year Single/Multi Centre History of Psychiatric Disorders Recorded Total Sample (n=) ICU Sample (n=) Days in ICU (Mean, sd) Age (Mean/Median) Gender (% Male) Comparison Group? Start End Banno et al, 2021 [ 38 ] Japan To assess the 1-year prevalence of post-intensive care syndrome after coronavirus disease 2019 Cohort study Mar Apr 2020 Single centre No 18 18 6 (5.0–12.5) 57.5 (49.5–71.8) 78% No Cansel et al, 2021 [ 41 ] Turkey To investigate the prevalence of generalised anxiety disorder, depression, PTSD, and the factors that may be associated with them in patients who were hospitalised and then discharged due to COVID-19. Cross sectional study Mar Nov 2020 Single centre Yes 102

…”

mentioning

confidence: 99%

Evaluating Mental Health Outcomes in COVID-19 ICU Survivors: A Scoping Review of Measurement Tools

T’ng,

Kenardy,

Hartanto

2024

JCM

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Objective: The objective of this scoping review was to map the range of measurement tools used to study the prevalence of common mental health conditions in COVID-19 ICU survivors. Introduction: Increased rates of admission to and survivorship from intensive care units (ICUs) have been observed in recent years, particularly during the global pandemic. ICU patients are at a higher risk of developing depressive, anxiety, and PTSD symptoms. Due to the high burden of disease, an accurate understanding of long-term mental health challenges for this population is key. Unfortunately, there is significant variability in reported prevalence rates. Heterogeneity in measurement tools potentially contribute to this. Inclusion criteria: Studies were eligible if they (a) reported mental health outcomes of adult patients diagnosed with COVID-19 and admitted to an ICU, (b) used standardised mental health outcome measures, and (3) were peer-reviewed. Methods: Searches were conducted in PubMed, PsycInfo, and Scopus. The initial search retrieved 1234 publications. After de-duplication and title and abstract screening, 72 full-text articles were examined for eligibility and 44 articles were excluded, leaving 28 eligible studies. Reference lists of the eligible studies were screened, and four other studies were added. 32 studies were ultimately included in this review. Results: Significant heterogeneity of measurement tools and clinical thresholds were observed. Only 6.25% of the studies compared changes in mental health outcomes to baseline measurements. Between five and nine unique measurement tools were used to study depression, anxiety, and PTSD, respectively. Studies were also observed to use up to 19 different thresholds to establish the prevalence of PTSD. Conclusions: The heterogeneity of measurement tools and thresholds continues to confound prevalence rate estimations of mental health complications post-ICU admission. Future research will benefit from consistency in the use of recommended outcome measures and the use of psychometrically comparable cut-off points between key measures.

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Assessment of Psychological Responses and Related Factors of Discharged Patients Who Have Been Hospitalized With Covid-19

Cited by 4 publications

References 0 publications

Looking at the Data on Smoking and Post-COVID-19 Syndrome—A Literature Review

Looking at the Data on Smoking and Post-COVID-19 Syndrome—A Literature Review

Prevalence, risk factors, and clinical correlates of anxiety, depression, and sleep disorders in chaperones for children in the emergency department in China during COVID-19

Evaluating Mental Health Outcomes in COVID-19 ICU Survivors: A Scoping Review of Measurement Tools

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