The protective role of resilience and social support against burnout during the COVID-19 pandemic.

Background: The COVID-19 pandemic brought on a range of stressors in homes and workplaces. With no sign of ending after one year, burnout was a concern. Resilience has been known to shield against the effects of stress. While often thought of as an individual trait, previous studies have shown social support to improve resilience. The study aimed to examine the extent of burnout in the Singapore population and whether social support and resilience cushioned the impact of COVID-19 related stressors a year into the pandemic. Methods: Participants were 858 Singapore residents who participated in a larger study between October 2021 and September 2022. The Copenhagen Burnout Inventory provided Work-and Personal-related burnout scores. Multivariable linear regression was used to identify demographic variables associated with burnout. Path analysis revealed the associations between COVID-19 stressors, social support, resilience and burnout. Results: 22 and 19% of the sample reported work and personal burnout respectively, with younger adults being more burnt out than older adults. Higher stress was associated with higher burnout and higher social support was associated with lower burnout. Path analysis revealed that the relationship between social support and burnout was partially accounted for by increased resilience. Conclusion: Managing altered work arrangements, career expectations, and increased responsibilities at home may contribute to greater levels of burnout in the younger adults. Increased employer support and targeted interventions could mitigate the impact of these stressors. The study also highlighted the importance of maintaining social connections even while physically distancing.

Evaluating a maladaptive personality-informed model of social support and post-traumatic stress disorder.

BACKGROUND: Social support is a robust predictor of post-traumatic stress disorder (PTSD). Although the inverse relationship between perceived social support and PTSD (social causation model) is supported, less is understood about the antecedents of the social causation model. Further, there is limited research in non-Western psychiatric populations that experience elevated rates of trauma and PTSD (e.g., mood disorders). The present study evaluated whether cumulative traumatic life events influenced current PTSD symptoms through maladaptive personality traits and perceptions of social support among Asian patients with mood disorders. METHODS: A total of 200 Asian patients (77.5 % Chinese) with mood disorders were assessed for maladaptive personality traits, perceptions of social support, cumulative traumatic life events, PTSD, and depressive symptoms. Structural equation modelling was conducted to evaluate the extended social causation model. RESULTS: The extended social causation model demonstrated acceptable fit to the data (Comparative Fit Index [CFI] = 0.90; absolute Root Mean Square Error of Approximation [RMSEA] = 0.08). There were significant indirect effects of cumulative traumatic life events on current PTSD symptoms (ß = 0.29, p < .001; 85 % variance explained) and depressive symptoms (ß = 0.28, p < .001; 69 % variance explained). LIMITATIONS: Results may not be generalizable beyond the Singapore population due to the socio-cultural and environmental context. CONCLUSIONS: The present findings provide conceptual support for a maladaptive personality-informed model of social support and PTSD, which could better inform trauma-focused interventions in preventing and treating the debilitating effects of PTSD in psychiatric populations.

How do professionals and non-professionals respond to non-suicidal self-injury? Lived experiences of psychiatric outpatients in Singapore.

BACKGROUND: For young people who engage in non-suicidal self-injury (NSSI), receiving negative responses to their NSSI can pose a barrier to future help-seeking. This qualitative study aimed to explore helpful and unhelpful ways in which professionals and non-professionals respond to NSSI, from the perspectives of individuals with lived experiences of NSSI. METHODS: Semi-structured interviews were conducted with 20 outpatients (6 males, 14 females) aged 17 to 29 years from a tertiary psychiatric hospital in Singapore, who had reported engaging in NSSI behavior in an earlier study. The interviews were audio recorded and transcribed verbatim. Thematic analysis was used to identify themes and subthemes in the data. RESULTS: Professionals' responses were organized into three main themes: 'prescribing solutions without understanding needs', 'disapproval or judgment', and 'helpful responses'. Non-professionals' responses were organized into four main themes: 'emotionally charged responses', 'avoidance and inaction', 'poor understanding of reasons for NSSI', and 'providing tangible support and acknowledging NSSI'. Participants also described how unhelpful responses negatively impacted their willingness to seek help. CONCLUSIONS: Our findings provide a better understanding of responses to NSSI that are considered helpful and unhelpful, and can be used to improve existing guidelines on responding to NSSI.

Treatment delays for mental disorders in Singapore: results from the Singapore Mental Health Study 2016.

PURPOSE: Although the trajectory of mental disorders can be improved with timely treatment, many people defer treatment-seeking. This study aimed to examine the prevalence and correlates of treatment delays for mental disorders in Singapore, as well as perceived effectiveness of treatment received. METHODS: A total of 6126 respondents, aged 18 and above, participated in the Singapore Mental Health Study 2016-a cross-sectional, nationwide study conducted in Singapore from 2016 to 2018. Lifetime treatment contact for mood, anxiety, and alcohol use disorders (AUD) was assessed using the World Mental Health-Composite International Diagnostic Interview (Version 3.0). Multivariable logistic regression was conducted to examine correlates of delayed treatment. RESULTS: A total of 137 participants had made lifetime treatment contact for a mental disorder. The proportion of respondents who received delayed treatment (i.e., at least one year after onset of disorder) was 60.8% for any disorder, 59.5% for mood disorders, 56.3% for anxiety disorders, and 92.7% for AUD. The median delay was 5 years for mood disorders, one year for anxiety disorders, and 4 years for AUD. Treatment delay was significantly associated with older age, higher educational qualification, lifetime AUD, and earlier age of onset of disorder. 58.4% of respondents with lifetime treatment contact had received treatment that they considered effective. CONCLUSION: The high prevalence and long durations of treatment delay underscore the need to encourage help-seeking for mental disorders, especially since treatment is generally perceived to be helpful. Our findings also highlight several population groups more susceptible to receiving delayed treatment.

Pathological personality explains individual differences in global emotion dysregulation within the pathway between child maltreatment and severe depressive symptoms.

OBJECTIVE: Global emotion dysregulation mediates the relationship between child maltreatment and severe depressive symptoms; however, there is a lack of research on maladaptive personality traits and their contribution to individual differences in global emotion dysregulation within this conceptual model. The present study tested a preliminary serial mediation model where maladaptive personality traits and global emotion dysregulation mediate the relationship between child maltreatment and severe depressive symptoms. METHOD: A total of 200 patients with mood disorders (Mage = 36.5 years; 54% females) were assessed for maladaptive personality traits (Personality Inventory for Diagnostic and Statistical Manual of Mental Disorders [5th ed.] Brief Form), global emotion dysregulation (Difficulties in Emotion Regulation Scale-Short), childhood trauma (Childhood Trauma Questionnaire), and depressive symptoms (Patient Health Questionnaire-9). RESULTS: Ordinary least squares regression and partial least squares-structural equation modeling revealed a consistent and significant indirect effect of child maltreatment on severe depressive symptoms through negative affectivity, detachment, psychoticism, and global emotion dysregulation. Among child maltreatment types, only emotional abuse had a significant indirect effect on severe depressive symptoms through maladaptive personality traits and global emotion dysregulation, b = 0.50, SE = 0.09, 95% confidence intervals [0.326, 0.694] after controlling for age, gender, and remaining types of child maltreatment. CONCLUSIONS: Findings support the view that maladaptive personality traits shed important insights on individual differences in global emotion dysregulation, and this information could aid clinical formulation and treatment of childhood adversity-related psychopathology. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Sleep disturbance as transdiagnostic mediator between adverse childhood experiences and psychopathology in children and adolescents: A structural equation modeling meta-analysis.

Background: Increasing research efforts have focused on understanding why some individuals develop severe psychopathology after exposure to adverse childhood experiences (ACEs). Sleep disturbances (insomnia, nightmares, and sleep disorders) are prevalent sequelae of ACEs and associated with psychopathology; however, there is no meta-analytic evidence on whether sleep disturbance functions as a transdiagnostic mediator in the relationship between ACEs and psychopathology (internalizing/externalizing disorders and psychosis) in children and adolescents. Methods: Systematic searches in three databases (PubMed; PsycINFO; Web of Science) identified 98 articles (N = 402,718; age range 1-17 years) and the present study used a novel two-stage meta-analytic structural equation model to investigate whether ACEs predict psychopathology through sleep disturbance. Subgroup analyses determined potential biases due to study design (cross-sectional vs. longitudinal) and geographical differences (Western vs. non-Western countries). Sensitivity analyses evaluated the influence of early childhood (<5 years old) and overlapping symptoms (i.e., nightmares and trauma symptoms) on model stability. Results: The pooled correlations among ACEs, sleep disturbance, and psychopathology were significant; the effect sizes ranged from moderate to high (r = 0.21 to r = 0.29). The indirect effect from ACEs via sleep disturbance to psychopathology was significant (ß = 0.05, 95% CI [0.04, 0.06]). The direct effect of ACEs on psychopathology was significant (ß = 0.18, 95% CI 0.13-0.24). Subgroup analyses revealed larger effects for cross-sectional studies than longitudinal studies (Δ χ2 (3) = 9.71, p = 0.021). Sensitivity analyses revealed stable and consistent results. Conclusions: The present meta-analytic results indicate that sleep disturbance is a transdiagnostic mediator in the relationship between ACEs and psychopathology among children and adolescents. Further research is required to determine the synergistic effects between sleep disturbance and other risk mechanisms, and elucidate the complex pathways that lead to disorder in the aftermath of childhood adversities.