Experienced discrimination and internalized stigma among people infected with SARS-CoV-2 and surviving COVID-19: Association with anxiety, depression, and insomnia symptoms.

People surviving COVID-19 may experience social stigma related to their condition even after clinical recovery. This study aimed to: (1) investigate COVID-19-related experienced discrimination and internalized stigma, and (2) explore their association with symptoms of anxiety, depression, and insomnia. We conducted an online survey of people who survived COVID-19. Perception of stigma was assessed using the COVID-19 Experienced Discrimination Scale and the COVID-19 Internalized Stigma Scale. Depression, anxiety, and insomnia were assessed using, respectively, the Patient Health Questionnaire-9, the General Anxiety Disorder Scale-7, and the Insomnia Severity Index. Multivariable logistic regression analyses for each psychopathological domain were performed. A total of 579 participants participated in this study. Overall, 25% reported some degree of experienced discrimination, and 23% reported some degree of internalized stigma. Adjusted odds ratio showed that scoring higher on internalized stigma related significantly to higher symptoms of depression (2.14; 95% confidence interval [CI], 1.35-3.39), anxiety (2.30; 95% CI, 1.48-3.59), and insomnia (2.54; 95% CI, 1.64-3.95), whereas experienced discrimination was associated to anxiety (1.55; 95% CI, 1.06-2.28) and insomnia (1.82; 95% CI, 1.24-2.69). Experiences of social stigmatization are frequent among people surviving COVID-19 and seem to be associated with levels of psychological disturbances. Further research is required to elucidate the direction of these relationships to implement effective treatment strategies.

Development and psychometric validation of new questionnaires assessing experienced discrimination and internalised stigma among people with Covid-19.

AIMS: To develop and validate two new standardised measures assessing, respectively, experienced discrimination (Covid-19 Experienced DISCrimination scale, CEDISC) and internalised stigma (COvid-19 INternalised Stigma scale, COINS) in people who had been infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) or had developed coronavirus disease 2019 (Covid-19) disease. METHODS: Both the CEDISC and the COINS were developed in Italian and tested for ease of use, comprehension, acceptability, the relevance of items and response options within a focus group session. Online cross-sectional validation survey was conducted among adults infected with SARS-CoV-2 or who developed Covid-19 disease, members of a closed Facebook discussion group in Italy. Exploratory factor analysis (EFA) with Promax oblique rotation; the Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy and the Bartlett's test of sphericity were used to assess the suitability of the sample for factor analysis. Reliability was assessed as internal consistency using Cronbach's alpha and as test-retest reliability using weighted kappa and intraclass correlation coefficient (ICC). Precision was examined by Kendall's tau-b coefficient. RESULTS: Overall, 579 participants completed the CEDISC, 519 also completed the COINS, 155 completed the retest for both scales after two weeks. The 12 items of the CEDISC converged over a 2-factor solution ('social life' and 'close relations') accounting for 49.2% of the variance (KMO = 0.894; Bartlett's test p < 0.001); the 13 items of the COINS converged over a 3-factor solution ('self-perception', 'close relations' and 'social life') accounting for 67.7% (KMO = 0.827; Bartlett's test p < 0.001). Cronbach's α was 0.848 for the CEDISC, and 0.837 for the COINS. The CEDISC showed three items (25%) with kappa between 0.61 and 0.80 and seven (58.4%) between 0.41 and 0.60, with only two items scoring 0.21 and 0.40; the COINS had ten items (76.9%) with kappa ranging from 0.41 to 0.60, and three items below 0.31. ICC was 0.906 (95% CI, 0.871-0.932) for the, CEDISC and 0.860 (95% CI, 0.808-0.898) for the COINS. Kendall's tau-b ranged from 0.360 to 0.556 (p < 0.001) for the CEDISC and from 0.290 to 0.606 (p < 0.001) for the COINS. CONCLUSIONS: Both the CEDISC and the COINS are two valid and reliable scales to be used in studies examining the role of stigma and discrimination of people infected with SARS-CoV-2 and Covid-19 patients, and in research evaluating interventions designed to mitigate stigma in this population.

Risk of post-traumatic stress symptoms in hospitalized and non-hospitalized COVID-19 recovered patients. A cross-sectional study.

High rates of post-traumatic stress disorder (PTSD) symptoms have been found among patients with more severe COVID-19-related symptoms, and hospitalization is generally recognized as a risk factor for developing PTSD. Furthermore, other personality characteristics may increase the risk of developing post-traumatic stress symptoms following a COVID-19 infection. This study aimed to assess personality traits, alexithymia, dissociation, anxiety, and depression in patients who have recovered from COVID-19 and the impact of these variables on the presence of post-traumatic stress symptoms. Five hundred and six participants completed a battery of standardized questionnaires. All the scales used in this study are valid and reliable measures of their respective constructs. Results showed that high levels of alexithymia, dissociation, anxiety, and depression statistically significantly predicted the three main clusters of PTSD symptoms (avoidance, intrusion, and hyperarousal) in individuals who have recovered from COVID-19. Furthermore, negative affectivity and psychoticism significantly predicted PTSD symptoms in our sample. Finally, individuals hospitalized by COVID-19 are more at risk of developing intrusion and hyperarousal symptoms than those who never needed hospital care. Our findings are a valuable contribution in identifying the main risk factors of psychological distress related to COVID-19 to address the long-term mental health needs of people who have experienced the disease.

What Is the Role of Psychological Factors in Long COVID Syndrome? Latent Class Analysis in a Sample of Patients Recovered from COVID-19.

Background: This study aimed to identify clusters of long COVID-19 symptoms using latent class analysis and investigate the psychological factors involved in the onset of this syndrome. Method: Five hundred and six subjects recovering from COVID-19 completed a series of standardized questionnaires to evaluate the personality traits, alexithymia, and post-traumatic stress. Results: Five classes were identified: Brain fog (31.82%), No symptoms (20.95%), Sensory disorders (18.77%), Breath impairment (17.59%), and Multiple disorders (10.87%). Women reported post-COVID-19 respiratory symptoms and multiple disorders to a greater extent than men. Hospitalized subjects were more likely to report persistent symptoms after COVID-19 than asymptomatic or home-treated subjects. Antagonism, hyperarousal, and difficulty identifying emotions significantly predicted post COVID-19 symptoms. Conclusions: These findings open new questions for research on long COVID-19 and how states of emotional dysregulation can alter the physiological processes of the body and contribute to the onset of organic pathologies.