Cognitive and psychiatric symptoms are frequently reported after SARS-CoV-2 infection, but their interplay has been only partially explored. We investigated frequency and severity of psychiatric symptoms in patients with persistent cognitive complaints after COVID-19.

We conducted a cross-sectional study. Neurologists assessed 101 patients reporting cognitive symptoms after COVID-19. Patients were invited to fill a screening battery with self-reported psychometric scales (Depression Anxiety Stress Scales-21, Impact of Event Scale-Revised, Insomnia Severity Index). Patients scoring above validated cut-offs in ≥1 scale were referred to psychiatrists who administered the Mini-International Neuropsychiatric Interview (M.I.N.I.), Hamilton Anxiety (HAM-A), and Hamilton Depression (HAM-D) rating scales and asked to complete the Personality Inventory for DSM-5-Brief Form (PID-5-BF).

Out of the 57 referred patients, 38 (64.4%) accepted to undergo the psychiatric examination. Among these, 18 (47.4%) were diagnosed with adjustment disorder (23.7%), anxiety disorder (10.5%), major depressive disorder (7.9%), and post-traumatic stress disorder (2.6%). Pharmacologic treatment before post-COVID condition (present in 12 patients, 31.6%) was associated with a score above cut-off on the HAM-A and HAM-D scales. A longer duration of untreated psychiatric illness after COVID-19 was associated with worse scores on the same scales. Patients with a higher PID-5-BF total score had a higher probability of receiving a psychiatric diagnosis.

Almost half of patients with post-COVID-19 conditions reporting cognitive symptoms were found to suffer from a psychiatric condition after psychiatric evaluation. The application of a psychiatric screening in a population suffering from long-term effects of COVID-19 can lead to early diagnosis and timely treatment.

Symptoms of obsessive-compulsive disorder (OCD) have been reported to increase during the COVID-19 lockdowns because of the hygiene requirements related to the pandemic. Patients with adjustment disorder (AD) may, in turn, represent a vulnerable population for identifiable stressors. In this study, we aimed at assessing potential symptoms changes in OCD patients during the lockdown in comparison with AD patients as well as versus healthy controls (HC).

During the COVID-related lockdown, we enrolled 65 patients and 29 HC. Participants were tested with four clinical rating scales (Yale–Brown obsessive-compulsive scale and Brown Assessment of Beliefs Scale for OCD patients; Beck Depression Inventory-II and State–Trait Anxiety Inventory-Y for each group) that had been also administered just before the Italian lockdown.

Our results showed that during the lockdown: (i) the symptoms of depression and anxiety increased in all groups, but this increase was most pronounced in HC (p < 0.001); (ii) OCD symptoms severity did not increase, but the insight worsened (p = 0.028); (iii) the proportion of OCD patients showing hygiene-related symptoms increased (p = 0.031 for obsessions of contamination), whereas that of patients with checking-related symptoms decreased.

The lockdown-induced psychological distress apparently changed the characteristics and the pattern of OCD symptoms expression but not their overall severity. This evidence confirms the heterogeneity and changing nature of OCD symptoms, strongly depending on the environmental circumstances.

Physical activity (PA) is crucial in the treatment of cardiac disease. There is a high prevalence of stress-response and affective disorders among cardiac patients, which might be negatively associated with their PA. This study aimed at investigating daily differential associations of International Classification of Diseases (ICD)-11 adjustment disorder, depression and anxiety symptoms with PA and sedentary behaviour (SB) during and right after inpatient cardiac rehabilitation.

The sample included N = 129 inpatients in cardiac rehabilitation, Mage = 62.2, s.d.age = 11.3, 84.5% male, n = 2845 days. Adjustment disorder, depression and anxiety symptoms were measured daily during the last 7 days of rehabilitation and for 3 weeks after discharge. Moderate-to-vigorous PA (MVPA), light PA (LPA) and SB were measured with an accelerometer. Bayesian lagged multilevel regressions including all three symptoms to obtain their unique effects were conducted.

On days with higher adjustment disorder symptoms than usual, patients engaged in less MVPA, and more SB. Patients with overall higher depression symptoms engaged in less MVPA, less LPA and more SB. On days with higher depression symptoms than usual, there was less MVPA and LPA, and more SB. Patients with higher anxiety symptoms engaged in more LPA and less SB.

Results highlight the necessity to screen for and treat adjustment disorder and depression symptoms during cardiac rehabilitation.

There is cumulative evidence of the importance of exploring the change of dynamics between symptoms over time as reflective of consolidation of psychopathology.

To explore the interactions between symptoms of ICD-11 adjustment disorder before and after the second lockdown of the COVID-19 pandemic in Israel and identify the most central symptoms and their concurrent and prospective associations with probable adjustment disorder.

This is a population-based study drawn from a probability-based internet panel. A representative sample of the adult Israeli population was assessed at two time points (T1, pre-second lockdown, n = 1029, response rate 76.17%; T2, post-second lockdown, n = 764, response rate 74.24%). Symptoms of adjustment disorder were assessed by the International Adjustment Disorder Questionnaire (IADQ).

Although the overall strength of associations at the two measurement points was similar and two same communities were found, there was a significant change in their structure, with a more consolidated network at T2. The most central item was ‘difficult to relax’ in both networks. Cross-sectionally, all symptoms of failure to adapt significantly predicted adjustment disorder. ‘Worry a lot more’ (preoccupation) and ‘difficult to adapt to life’ (failure to adapt) at T1 significantly predicted this diagnosis at T2.

Adjustment disorder symptoms consolidated during the second lockdown of the pandemic. In line with the ICD-11 conceptualisation of adjustment disorder, both preoccupation and failure-to-adapt symptoms have prognostic validity. This highlights the importance of identifying and targeting adjustment disorder symptoms during a period of stress such as the COVID-19 pandemic.

Type 1 diabetes (T1D) incidence is increasing around the world, being the third chronic medical condition in childhood. It is characterized by pancreatic β-cell loss which leads to insulin deficiency. Treatment includes insulin medication and lifestyle changes. Youngsters with T1D are at a high risk of psychological comorbidity (depression, anxiety, eating disorders), and especially anxiety symptoms have been correlated with worse diabetes control.

Our purpose is to examine the impact of T1D in adolescence regarding a case report and literature review.

We present the case of a 14-year-old female with T1D onset and no psychiatric history. She is referred to our service three months after the T1D onset. Both her parents and the patient were anxious about the diagnostic implications and the treatment. The patient sometimes refused to follow insulin treatment and was angry and labile. Both family and individual assessment interviews were accomplished.

Regarding our assessment and after coordination with endocrine service (doctor and nurse) we diagnosed an [F43.23] Adjustment Disorder (acute, with mixed anxiety and depressed mood). Following recent evidence Acceptance and Commitment Therapy and Family Therapy were the election treatment with good outcomes. The patient was released after 3 months of follow-up.

T1D treatment entails lifestyle changes and self-control, which may be stressful and challenging for adolescents and their families, causing mental health problems. Since learning self-care and emotional coping strategies can improve both psychological well-being and glucose management, an interdisciplinary approach including psychological care, especially on the onset, can be crucial.

No significant relationships.

International Classification of Diseases, 11th revision (ICD-11) adjustment disorder (AjD) is characterized by two main symptom clusters: preoccupation with the stressor and failure to adapt to the stressor. The network analytic approach provides important information on the structural validity of a disorder and reveals which symptoms are most prominent. To date, no study compared the network structure of AjD symptoms in clinical and nonclinical samples, which could potentially inform our understanding of psychopathological mechanisms that underlie AjD and identify core targets for therapy.

A network analysis was conducted on AjD symptoms as assessed by the Adjustment Disorder—New Module (ADNM-8) using data from 330 clinical participants from the UK and a nonclinical sample of 699 participants from Switzerland.

Comparisons of network structure invariance revealed differences between the network structure of the clinical and the nonclinical samples. Results highlight that in terms of both edges strength and centrality, failure to adapt symptoms was more prominent in the clinical sample, while the preoccupation symptoms were more prominent in the nonclinical sample. Importantly, global strength was similar across networks.

Results provide evidence of the coherence of AjD in the ICD-11 as assessed by the ADNM questionnaire. They tentatively suggest that subclinical AjD may be characterized by emerging preoccupation symptoms that may result in failure to adapt and functional impairment in clinical manifestation of AjD. However, there is a need for replication and longitudinal research to further validate this hypothesis.

Adjustment disorder (AD) is described as a maladaptive reaction to an identifiable psychosocial stressor/s that usually emerges within a month after the onset of the stressor. With all uncertainty, fears and disorientation, it’s no surprise that many people have developed an AD linked to the sudden changes brought about by COVID-19, such as threat to life, imposed restrictions, and the associated changes. Mindfulness-based cognitive therapy (MBCT) has been found to be effective for depression and anxiety problems, little is known, however, about its efficacy for adjustment disorder.

The aim of the current research was to evaluate if 4 weeks long, modified internet-delivered MBCT can reduce symptoms of Covid-19 related AD.

438 individuals with a diagnosis of AD were recruited to take part in the study. They were randomly assigned to i-MBCT, i-progressive muscle relaxation training (i-PMR), and Waiting List (WL). Assessments with questionnaires evaluating AD (ADMN-20), depression (PHQ-9, HADS-D), and anxiety (HADS-A, GAD-7) were filled at baseline, 4-week, and 1-month post-randomization. 142 individuals completed baseline and 4 week assessment (i-MBCT, n= 34; i-PMR, n= 36 and WL, n=72).

We found a significant reduction in AD symptoms following the i-MBCT group, whereas no change was found in both control conditions. While a decrease in depressive and anxiety was found in both i-MBCT and i-PMR groups, the greatest reduction has been observed in i-MBCT.

These preliminary findings suggest that i-MBCT can be an effective intervention in treating Covid-19 related AD, but more studies are needed.

No significant relationships.

To assess the prevalence of elevated risk of serious mental illness and probable ICD-11 adjustment disorder in the UK population at two time points during COVID-19, and their association with COVID-19-related stressful events.

To check the dose–response model for stress between the number of COVID-19-related stressful events and mental health indices.

We conducted two cross-sectional studies, using internet survey samples across the UK (N = 1293 for study 1; N = 1073 for study 2). Samples used internet panel surveys during March–April 2020 and 3 months later (June 2020), and used random stratified samples. Studies assessed prevalence of serious risk of mental illness and probable ICD-11 adjustment disorder.

Elevated risk of serious mental illness was found among those with COVID-19-related social life or occupationally stressful events (study 1). Elevated risk of serious mental illness and probable ICD-11 adjustment disorder was evident among those reporting COVID-19-related stressful events (personal health problems and caregiving; study 2). Cumulative COVID-19-related stressful events were associated with elevated risk of serious mental illness in study 1 (odds ratio 1.65; 95% CI 1.03–2.64; P = 0.037), and with both elevated risk of serious mental illness (odds ratio 2.19; 95% CI 1.15–4.15; P = 0.017) and probable ICD-11 adjustment disorder (odds ratio 2.45; 95% CI 1.27–4.72; P = 0.007) in study 2.

Psychiatrists should be aware that COVID-19-related stressful events can lead to serious psychological problems. Mental health professionals need to pay particular attention to patients who report cumulative COVID-19-related stressful events, and consider them for mental health assessment and treatment.

Research on adolescent adjustment disorder (AD) is scarce. We characterized adolescent outpatients with AD in psychosocial background and treatment received compared with patients with other non-psychotic disorders (OND). Furthermore, we explored precipitant stressors, distress symptoms and behavioral problems among males and females with AD.

Data were collected prospectively on 290 consecutive psychiatric outpatients, aged 12–22 yrs, at a secondary care clinic in Finland. DSM-III-R diagnoses were assigned, based on all available information, at the end of treatment.

AD was the second most common diagnosis among non-psychotic patients (31% of 290). Compared to OND-patients, those with AD were predominantly female and had less severe psychosocial impairment. In multivariate comparisons school-related stressors, problems with law and restlessness characterized males, and parental illness and internalizing symptoms females with AD. Intensity and duration of treatment of AD-patients varied widely.

Adjustment disorder comprised a common clinical entity among adolescent outpatients. Psychiatric assessment and treatment should be individually targeted by taking into account gender-specific stressors and distress symptoms among young people with AD.

Adjustment disorder with anxiety (AjD-A) is a common cause of severe anxiety symptoms, but little is known about its prevalence in old age.

This cross-sectional study examined the prevalence of AjD-A in outpatients over the age of 60 who consecutively consulted 34 general practitioners and 22 psychiatrists during a 2-week period. The diagnosis of AjD-A was obtained using the optional module for diagnostic of adjustment disorder of the Mini International Neuropsychiatric Interview (MINI). The study procedure also explored comorbid psychiatric conditions and documented recent past stressful life events, as well as social disability and current pharmacological and non-pharmacological management.

Overall, 3651 consecutive subjects were screened (2937 in primary care and 714 in mental health care). The prevalence rate of AjD-A was 3.7% (n = 136). Up to 39% (n = 53) of AjD-A subjects had a comorbid psychiatric condition, mostly of the anxious type. The most frequently stressful life event reported to be associated with the onset of AjD-A was personal illness or health problem (29%). More than 50% of the AjD-A patients were markedly to extremely disabled by their symptoms. Compared to patients who consulted psychiatrists, patients who were seen by primary care physicians were older, had obtained lower scores at the Hamilton Anxiety Rating Scale, benefited less frequently from non-pharmacological management and received benzodiazepines more frequently.

AjD-A appears to be a significantly disabling cause of anxiety symptoms in community dwelling elderly persons, in particular those presenting personal health related problems. Improvement of early diagnosis and non-pharmacological management of AjD-A would contribute to limit risks of benzodiazepine overuse, particularly in primary care settings.

Common mental disorders (CMD) cause large suffering and high societal costs. Cognitive behavioural therapy (CBT) can effectively treat CMD, but access to treatment is insufficient. Guided self-help (GSH) CBT, has shown effects comparable with face-to-face CBT. However, not all patients respond to GSH, and stepping up non-responders to face-to-face CBT, could yield larger response rates. The aim was to test a stepped care model for CMD in primary care by first evaluating the effects of GSH-CBT and secondly, for non-responders, evaluating the additional effect of face-to-face CBT.

Consecutive patients (N = 396) with a principal disorder of depression, anxiety, insomnia, adjustment or exhaustion disorder were included. In Step I, all patients received GSH-CBT. In Step II, non-responders were randomized to face-to-face CBT or continued GSH. The primary outcome was remission status, defined as a score below a pre-established cutoff on a validated disorder-specific scale.

After GSH-CBT in Step I, 40% of patients were in remission. After Step II, 39% of patients following face-to-face CBT were in remission compared with 19% of patients after continued GSH (p = 0.004). Using this stepped care model required less than six therapy sessions per patient and led to an overall remission rate of 63%.

Stepped care can be effective and resource-efficient to treat CMD in primary care, leading to high remission rates with limited therapist resources. Face-to-face CBT speeded up recovery compared with continued GSH. At follow-ups after 6 and 12 months, remission rates were similar in the two groups.

Despite being commonly used in research and clinical practice, the evidence regarding the factor structure of the Beck Depression Inventory-II (BDI-II) remains equivocal and this has implications on how the scale scores should be aggregated. Researchers continue to debate whether the BDI-II is best viewed as a unidimensional scale, or whether specific subscales have utility. The present study sought to test a comprehensive range of competing factor analytic models of the BDI-II, including traditional non-hierarchical multidimensional models and confirmatory bifactor models.

Participants (n=370) were clinical outpatients diagnosed with either depressive episode or adjustment disorder. Confirmatory factor analysis and confirmatory bifactor modelling were used to test 15 competing models. The unidimensionality of the best fitting model was assessed using three strength indices (explained common variance, percentage of uncontaminated correlations and ω hierarchical).

Overall, bifactor solutions provided superior fit than both unidimensional and non-hierarchical multidimensional models. The best fitting model consisted of a general depression factor and three specific factors: cognitive, somatic and affective. High factor loadings and strength indices for the general depression factor supported the view that the BDI-II measures a single latent construct.

The BDI-II should primarily be viewed as a unidimensional scale, and should be scored as such. Although it is not recommended that scores on individual subscales are used in isolation, they may prove useful in clinical assessment and/or treatment planning if used in conjunction with total scores.

Adjustment disorder (AD) is one of the most debated diagnoses in psychiatry since it has been recognised as vaguely defined and causing a lot of difficulties in clinical practice. We aimed to analyse the structure of adjustment disorder based on International Classification of Diseases (ICD)–11 proposals by the WHO ICD-11 Working Group on the Classification of Disorders Specifically Associated with Stress in the general population in Lithuania. Three structural models of adjustment disorder were tested using Confirmatory Factor Analysis (CFA).

Data from the sample of 649 participants who experienced at least one significant stressor during the last two years was included in CFA analysis. Stressor exposure and AD symptoms were measured with the Lithuanian version of the Adjustment Disorder New Module (ADNM-20).

The CFA analysis revealed that the two core factor model of the AD with two core symptoms: preoccupation and failure to adapt fitted data the best in contrast to other two models.

The study supports the ICD-11 proposal for the structure of adjustment disorder with two core symptoms: preoccupation and failure to adapt. Further studies are needed to analyse the structure of AD in other populations.