The 12-month course of ICD-11 adjustment disorder in the context of involuntary job loss

Technology-supported treatments for adjustment disorder: A systematic review and preliminary meta-analysis

BACKGROUND

The use of technology in psychological treatments can bring evidence-based interventions closer to more people using fewer resources. The aim of this systematic review and preliminary meta-analysis was to summarize all the available information about technology-supported psychological treatments for Adjustment Disorder (AjD) patients of all ages.

METHOD

Eligibility criteria included studies that tested a technology-supported treatment in patients with AjD and reported data on a mental health outcome. Case studies and case series were excluded. Searches were conducted in the PubMed, Web of Science, Scopus, and PsycINFO databases. Study quality was assessed using the Cochrane RoB 2.0. tool for Randomized Controlled Trials (RCTs) and the NHLBI tool for pre-post studies.

RESULTS

Nine articles (8 RCTs and 1 pre-post study) were included, eight that tested computerised interventions and two that used virtual reality. The meta-analysis showed the superior efficacy of the intervention groups compared to control conditions in reducing mental health symptomatology and a significant improvement between pre- and post-treatment.

LIMITATIONS

The small number of studies included and the high heterogeneity among them were two of the main limitations.

CONCLUSIONS

These results are similar to those observed in previous systematic reviews on technology-supported treatments for other mental disorders and suggest that these interventions could be effective for patients with AjD. However, further research is needed to determine the advantages and disadvantages of these interventions for the treatment of AjD in different age populations such as children, adolescents or older adults, as well as effective means for improving treatment retention.

Exhaustion disorder: scoping review of research on a recently introduced stress-related diagnosis

BACKGROUND

Symptoms related to chronic stress are prevalent and entail high societal costs, yet there is a lack of international consensus regarding diagnostics and treatment. A new stress-related diagnosis, exhaustion disorder, was introduced into the Swedish version of ICD-10 in 2005. Since then, use of the diagnosis has increased rapidly.

AIMS

To create the first comprehensive synthesis of research on exhaustion disorder to report on the current state of knowledge. Preregistration: Open Science Framework (http://www.w3.org/1999/xlink">osf.io), doi 10.17605/OSF.IO/VFDKW.

METHOD

A PRISMA-guided scoping review of all empirical studies of exhaustion disorder was conducted. Searches were run in the MEDLINE, PsycInfo and Web of Science databases. Data were systematically charted and thematically categorised based on primary area of investigation.

RESULTS

Eighty-nine included studies were sorted into six themes relating to lived experience of exhaustion disorder (n = 9), symptom presentation and course (n = 13), cognitive functioning (n = 10), biological measures (n = 24), symptom measurement scales (n = 4) and treatment (n = 29). Several studies indicated that individuals with exhaustion disorder experience a range of psychiatric and somatic symptoms beyond fatigue, but robust findings within most thematic categories were scarce. The limited number of studies, lack of replication of findings and methodological limitations (e.g. small samples and scarcity of specified primary outcomes) preclude firm conclusions about the diagnostic construct.

CONCLUSIONS

More research is needed to build a solid knowledge base for exhaustion disorder. International collaboration regarding the conceptualisation of chronic stress and fatigue is warranted to accelerate the growth of evidence.

The Association Between Men's Mental Health During COVID-19 and Deterioration in Economic Status

This study investigated associations among economic status deterioration, mental health, and gender during the COVID-19 pandemic. A total of 1,807 participants completed an online questionnaire that included demographic variables and questions measuring three mental health variables: psychological distress (as measured by symptoms of depression, anxiety, and stress), adjustment disorder, and emotional eating. Results indicated that women reported higher mental health impairment than men. Men and women whose economic status significantly deteriorated because of the COVID-19 pandemic reported greater mental health impairment than those whose economic status did not significantly deteriorate. However, men whose economic status significantly deteriorated reported high mental health impairment (emotional eating and adjustment difficulties) similar to women in the same situation. This change in men's reporting pattern suggests that the economic impact of COVID-19 severely impacted their mental health and affected how they view their masculinity, which, in turn, further impaired their mental health. As the COVID-19 outbreak has had a significant impact on mental health worldwide, it is important to identify individuals and groups who are at high risk of mental health impairment. The current study demonstrates that men's distress, which is frequently complex to identify, can be detected using standardized measures and analyzing these according to changes in reporting patterns as opposed to simply examining means and frequencies. The results suggest that the COVID-19 crisis may provide an opportunity to understand more about mental health, in particular, that of men.

Validation of the International Adjustment Disorder Questionnaire in Israel and Switzerland

The ICD-11 has introduced a new conceptualization of adjustment disorder (AjD) as a stress response syndrome with core symptoms of preoccupations and failure to adapt to the stressor. The current study aimed to assess the reliability and validity of the International Adjustment Disorder Questionnaire (IADQ) in two culturally distinct samples from Israel and Switzerland. Two samples were recruited in Israel (N = 1142) and Switzerland (N = 699) during the initial stages of the COVID-19 pandemic. Confirmatory factor analysis indicated that a correlated two-factor model provided an excellent fit to the Israeli and Swiss sample data. The IADQ scores correlated strongly with another measure of AjD symptoms, and with symptoms of depression, anxiety, acute stress, and negative emotions whereas correlations with posttraumatic stress disorder, complex posttraumatic stress disorder, and positive emotions were weaker. In the Swiss sample, 18.8% met diagnostic criteria for probable AjD and 10.2% in the Israeli sample. The current study provides the first evidence of the validity of the German and Hebrew versions of the IADQ and can be used for the screening of this debilitating condition.

Grief reactions, depression, and anxiety following job loss: patterns and correlates

Background: Research on grief, depression, and anxiety reactions following job loss is sparse. More insight in this matter could be important for the development of preventive and curative interventions targeting different manifestations of emotional distress following job loss, including grief reactions.Objective: The aim of this study was to examine job loss-related grief reactions in relation to depression and anxiety symptoms.Method: A sample of 525 Dutch workers (59.8% women, mean age of 50.6 years) who had lost their job was recruited. Latent class analysis was used to examine whether separate classes could be distinguished based on the endorsement of grief reactions and symptoms of depression of anxiety. We also examined factors associated with class membership.Results: Four classes were identified, including a so-called 'mixed', a 'grieving', a 'depressed', and a 'resilient' class. Job loss circumstances and coping strategies (but not socio-demographic and work characteristics) were associated with class membership.Conclusion: These results shed light on unique characteristics that might be targeted with specific clinical methods to increase mental health of different subgroups of individuals confronted with job loss.