Predictors of depressive symptoms among hospitalized COVID-19 patients with respiratory problems.

COVID-19 patients and survivors quite often experience depressive symptoms, which can increase risk for lower immune system response and poorer recovery. Vulnerability to depressive symptoms may be elevated in those patients who have the most severe COVID-19 course of illness, that is, patients who require supplementary oxygen therapy or even intubation. The current study involved a unique sample of patients who were hospitalized due to COVID-19 and who required respiratory support (N = 34, 10 women) in which we investigated depressive symptoms as well as psychopathological personality traits (PID5) as predictors. The majority of patients (76.5%) presented some degree of depressive symptoms. Although we expected severe levels of depressive symptoms to be most prevalent, more patients showed rather moderate levels. At the same time, Negative Affectivity was most predictive of depressive symptoms. We suggest that medical care for patients with greater emotional sensitivity and vulnerability to stress be supplemented with psychological support in order to address depressive symptoms and foster recovery.

Defense Mechanisms and Borderline Personality Organization Among COVID-19 Believers and Non-believers During Complete Lock-Down.

The aim of the current study was to investigate whether a specific social perception of the pandemic-believing or not in COVID-19-predicts borderline personality organizations and whether this relationship is mediated by more primitive maladaptive mechanisms-splitting, denial, and dissociation. The online study included 720 organization aged 25-45. Participants were diverse in terms of place of residence, being in a relationship, and education level. Approximately 30% of the general population reported not believing in the COVID-19 pandemic. Non-believers scored slightly higher on borderline symptoms and used more maladaptive defense mechanisms than believers. Individuals who deny COVID-19 are more likely to show characteristics of borderline personality organization. Splitting is an important mechanism in this relationship.

COVID-19-related psychological distress and engagement in preventative behaviors among individuals with severe mental illnesses.

Individuals with severe mental illnesses (SMIs) may be disproportionately vulnerable to COVID-19 infection and psychological distress. This study investigated the prevalence of engagement in COVID-19 preventative behaviors, predictors of these behaviors, and COVID-19-related psychological distress. One hundred and sixty-three individuals with SMIs (94 with schizophrenia spectrum illnesses and 69 with affective disorders) and 27 psychiatrically healthy comparison participants were recruited from ongoing studies across 3 sites, to complete a phone survey querying implementation of 8 specific COVID-19 preventative behaviors that participants engaged in at least once in the past month as well as standard assessments of depression, anxiety, perceived stress, loneliness, and coping. Data were collected between 3 April 2020 and 4 June 2020. The large majority of our SMI sample, which consisted of outpatients with relatively mild symptom severity, endorsed engaging in multiple preventative behaviors. Relatively few differences were found between groups; however, individuals with SMI were less likely to work remotely than healthy individuals and individuals with schizophrenia spectrum illness were less likely to stay home as a preventative measure, wear face masks, and work remotely than individuals with affective disorders. Differences in staying home remained after controlling for potential confounds. Although individuals with SMI reported more psychological distress related to COVID-19, this distress was largely unrelated to engagement in preventative behaviors. The large majority of individuals with SMI in this outpatient sample, regardless of broad diagnostic category, reported performing multiple behaviors intended to prevent COVID-19 infection at least once a month and reported distress associated with the pandemic. These findings suggest a good level of awareness of COVID-19 among stable outpatients with SMI. The degree to which more acutely ill persons with SMI engage in such preventative behaviors, however, remains to be examined.

A Longitudinal Investigation of the Effects of the COVID-19 Pandemic on the Mental Health of Individuals with Pre-existing Severe Mental Illnesses.

OBJECTIVE: Individuals with severe mental illnesses (SMI), including schizophrenia spectrum illnesses and affective disorders, may be at increased risk for negative mental health outcomes related to the COVID-19 pandemic. This study compared the severity of pre-pandemic symptoms and affective experiences to current symptoms to evaluate this possibility. METHODS: 148 individuals with SMI (92 with schizophrenia spectrum illnesses and 56 with affective disorders) were recruited from ongoing ecological momentary assessment studies that sampled day-to-day experiences and symptom severity prior to the pandemic. Participants completed a one-time phone survey that queried these same experiences/symptoms between April and June of 2020. RESULTS: Severity of affective experiences and psychotic symptoms remained stable across time, as did sleep duration. Well-being and the number of substances used increased during the early months of the pandemic. Increases in well-being were associated with being female and spending less time alone pre-pandemic. Patterns of stability/change did not differ according to diagnostic category. CONCLUSIONS: At this relatively early stage, individuals with SMI are not reporting a worsening of symptoms or affective experiences and instead appear to be resilient in the face of the pandemic. Continued assessment is needed to determine whether this resilience will persist as the pandemic progresses.

Assessing the Real-Time Mental Health Challenges of COVID-19 in Individuals With Serious Mental Illnesses: Protocol for a Quantitative Study.

BACKGROUND: The outbreak of coronavirus disease 2019 (COVID-19) has caused significant stress and mental health problems among the general public. However, persons at greatest risk for poor mental health outcomes, such as people with serious mental illness, have been largely overlooked. OBJECTIVE: This paper presents the protocol for a study that aims to examine the mental health impact of COVID-19 and social distancing behaviors in people with serious mental illness and the behaviors undertaken to prevent COVID-19 infection in this group. METHODS: Participants will include individuals with serious mental illness (eg, schizophrenia, bipolar disorder) and nonpsychiatric control participants who are currently participating in or have previously participated in several ongoing parent observational studies. Data will be collected from April 2020 through August 2020. Participants will complete phone interviews at 2 time points to assess their current emotional functioning and discuss the measures they have taken to prevent COVID-19 infection. Baseline (pre-COVID-19) mental health, sampled by ecological momentary assessment over an extended period, will be compared with current mental health, also sampled by ecological momentary assessment over an extended period. Demographic, cognitive, and psychosocial factors at baseline will be used to examine risk and resilience to current mental health and coping. RESULTS: The inclusion of participants for the first round of telephone assessments started on April 3, 2020 and will be completed by May 31, 2020. As of April 30, 2020, 101 individuals had completed these first-round assessments. The second round of telephone assessments will likely occur between June 1, 2020, and August 31, 2020. Study results will be published in peer-reviewed scientific journals. CONCLUSIONS: Our findings will have broad implications for understanding the psychological consequences of COVID-19 among vulnerable persons with serious mental illness and will provide the opportunity to identify targets to reduce negative outcomes in the future. We also hope our efforts will provide a roadmap and resources for other researchers who would like to implement a similar approach. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/19203.