Burnout is associated with a depressive interpretation style

How School Burnout Affects Depression Symptoms Among Chinese Adolescents: Evidence from Individual and Peer Clique Level

The impact of peer clique school burnout norms on adolescents' emotional adaptation is becoming increasingly prominent, but its underlying mechanisms remain unclear, especially in China where academic achievement is highly valued. The present study examined how clique burnout norms impact the relationship between school burnout, negative cognitive bias, and depressive symptoms. A total of 904 Chinese adolescents (57% boys; Mage = 12.73, SD = 0.43) participated in a two-wave longitudinal study (initiated in 2015, with approximately a 2-year interval). The results of multilevel models indicated that only in low clique burnout norms, adolescents with high school burnout at T1 would exhibit more negative cognitive bias and suffer from more depressive symptoms at T2, whereas the moderating effect was only observed in all-boys cliques. These findings reflect that a decrease in the overall level of burnout within a peer clique does not necessarily benefit every student, and the adaptation issues of students experiencing burnout still require attention even in a relatively healthy context.

Cognitive mechanisms and resilience in UK-based general practitioners: cross-sectional findings

BACKGROUND

Being a general practitioner (GP) is a stressful occupation, and the strain GPs are under can have negative effects on their psychological well-being, as well as on the patients' experience of healthcare. Resilience can help buffer against this and is a dynamic process by which one can cope with adversity and stress.

AIMS

This study aimed to identify modifiable cognitive mechanisms related to resilience in GPs, specifically interpretation bias and cognitive reappraisal.

METHODS

One hundred and fourteen GPs completed an online cross-sectional correlational study. This comprised questionnaires assessing resilience, emotional distress, work environment and cognitive mechanisms (emotion regulation), as well as a task assessing interpretation bias.

RESULTS

Resilience of GPs was negatively correlated with measures of emotional distress. Furthermore, resilience was positively correlated with positive interpretation bias (r = 0.60, ρ = 0.60, P < 0.01) and cognitive reappraisal (r = 0.39, ρ = 0.40, P < 0.01). In a hierarchical regression, positive interpretation bias (B = 0.25, SE B = 0.06, β = 0.39, P < 0.01) was a significant independent predictor of resilience when controlling for depression, anxiety and stress.

CONCLUSIONS

This is the first study to establish an association between resilience and positive interpretation bias and cognitive reappraisal in GPs. Future research should use longitudinal designs to determine if they have a causal role in promoting resilience, and importantly whether interventions focusing on these processes may foster resilience in less resilient GPs.

Occupational Depression, Cognitive Performance, and Task Appreciation: A Study Based on Raven's Advanced Progressive Matrices

The Occupational Depression Inventory (ODI) was recently developed to assess depressive symptoms that individuals specifically attribute to their work. Research on the criterion validity of the instrument is still in its infancy. In this study, we examined whether the ODI predicted performance on, and appreciation of, a cognitively challenging test. In light of the link established between clinical depression and neuropsychological impairment, and considering that individuals with depressive symptoms are more likely to feel helpless under challenging circumstances, we hypothesized that occupational depression would be associated with poorer cognitive performance and a darkened appreciation of the task undertaken. We relied on a sample of 1,359 educational staff members. We used an abridged version of Raven's Advanced Progressive Matrices (RAPMs) as a cognitively challenging task and measure of cognitive performance. RAPMs assess so-called eductive ability (meaning-making and problem-solving abilities) through items of various degrees of difficulty. Transient mood was assessed with a three-item measure before RAPMs were administered. Task appreciation was assessed with a single-item measure after the completion of RAPMs. We found occupational depression to be negatively linked to cognitive performance. A two-step cluster analysis, in which ODI and RAPMs scores were used as classifiers, revealed two profiles of respondents. The first profile was characterized by relatively low levels of depressive symptoms and high levels of cognitive performance; the second profile, by relatively high levels of depressive symptoms and low levels of cognitive performance. The two profiles differed strongly from one another, as indexed by Cohen's ds of 2.492 regarding depressive symptoms and 1.263 regarding cognitive performance. As anticipated, occupational depression predicted a darkened appreciation of the test. The association remained statistically significant, and largely unchanged, controlling for pretest mood and test performance. The highest levels of depressive symptoms were observed among individuals evaluating the task as "frustrating" and "discouraging." Our study suggests that occupational depression predicts poorer cognitive performance and a negativized experience of cognitive challenge. Such features may be part of a self-sustaining loop fostering the maintenance of depressive symptoms. The extent to which the ODI predicts performance in the work context needs to be investigated.

Do burnout and depressive symptoms form a single syndrome? Confirmatory factor analysis and exploratory structural equation modeling bifactor analysis

OBJECTIVE

The issue of burnout-depression overlap remains contentious. In this study, the question of whether burnout symptoms form a syndrome that is distinct from depression was reexamined.

METHODS

The study involved 332 employed individuals (65% female; mean age: 34). Burnout symptoms were assessed with the Shirom-Melamed Burnout Measure (SMBM). The SMBM operationalizes burnout based on three interconnected components, namely, physical fatigue, cognitive weariness, and emotional exhaustion. Depressive symptoms were assessed with the PHQ-9, a scale that covers the main manifestations of major depression. Confirmatory factor analysis (CFA) and exploratory structural equation modeling (ESEM) bifactor analysis were conducted.

RESULTS

On average, the factors underlying burnout's components correlated more strongly with the Depressive Symptom factor than with each other. Remarkably, such results were obtained even when fatigue-related items were excluded from the depression scale. Second-order CFA revealed that the factors underlying burnout's components and the Depressive Symptom factor were reflective of the same higher-order factor. ESEM bifactor analysis indicated that the general factor accounted for about 2/3 of the common variance extracted.

CONCLUSION

Consistent with a growing corpus of research, this study suggests that the burnout-depression distinction is untenable. Because the burnout-depression distinction tends to convey the idea that burnout is not as serious a problem as depression, many people struggling with depression might underestimate the gravity of their condition and not seek help when self-identifying as "burned out." Maintaining a line of demarcation between burnout and depression may thus be problematic from both a scientific and a health management standpoint.

A five-sample confirmatory factor analytic study of burnout-depression overlap

OBJECTIVE

It has been asserted that burnout-a condition ascribed to unresolvable job stress-should not be mistaken for a depressive syndrome. In this confirmatory factor analytic study, the validity of this assertion was examined.

METHODS

Five samples of employed individuals, recruited in Switzerland and France, were mobilized for this study (N = 3,113). Burnout symptoms were assessed with the Shirom-Melamed Burnout Measure, the Maslach Burnout Inventory (MBI)-General Survey, and the MBI for Educators. Depressive symptoms were measured with the PHQ-9.

RESULTS

In all five samples, the latent factors pertaining to burnout's components correlated on average more highly with the latent Depression factor than with each other, even with fatigue-related items removed from the PHQ-9. Second-order factor analyses indicated that the latent Depression factor and the latent factors pertaining to burnout's components were reflective of the same overarching factor.

CONCLUSIONS

This study suggests that the burnout-depression distinction is artificial.