The baby and the bathwater: On the need for substantive–methodological synergy in organizational research

The burnout-depression conundrum: investigating construct-relevant multidimensionality across four countries and four patient samples

This research seeks to contribute to the ongoing discussion about the distinctive nature of burnout and depression. In a first study, we relied on employee samples from four European countries (N = 5199; 51.27% women; Mage = 43.14). In a second study, we relied on a large sample of patients (N = 5791; 53.70% women; Mage = 39.54) who received a diagnosis of burnout, depressive episode, job strain, or adaptation disorder. Across all samples and subsamples, we relied on the bifactor exploratory structural equation modelling to achieve an optimal disaggregation of the variance shared across our measures of burnout and depression from the variance uniquely associated with each specific subscale included in these measures. Our results supported the value of this representation of participants' responses, as well as their invariance across samples. More precisely, our results revealed a strong underlying global factor representing participants' levels of psychological distress, as well as the presence of equally strong specific factors supporting the distinctive nature of burnout and depression. This means that, although both conditions share common ground (i.e. psychological distress), they are not redundant. Interestingly, our results also unexpectedly suggested that suicidal ideation might represent a distinctive core component of depression.

Workers' emotional exhaustion and mental well-being over the COVID-19 pandemic: a Dynamic Structural Equation Modeling (DSEM) approach

The COVID-19 pandemic has presented significant challenges to the workforce, particularly concerning emotional and mental well-being. Given the prolonged periods of work-related stress, unexpected organizational changes, and uncertainties about work faced during the pandemic, it becomes imperative to study occupational health constructs under a dynamic methodological perspective, to understand their stable and unstable characteristics better. In this study, drawing on the Dynamic Structural Equation Modeling (DSEM) framework, we used a combination of multilevel AR(1) models, Residual-DSEM (RDSEM), multilevel bivariate VAR(1) models, and multilevel location-scale models to investigate the autoregression, trend, and (residual) cross-lagged relationships between emotional exhaustion (EmEx) and mental well-being (MWB) over the COVID-19 pandemic. Data were collected weekly on 533 workers from Germany (91.18%) and Italy (8.82%) who completed a self-reported battery (total number of observations = 3,946). Consistent with our hypotheses, results were as follows: (a) regarding autoregression, the autoregressive component for both EmEx and MWB was positive and significant, as well as it was their associated between-level variability; (b) regarding trend, over time EmEx significantly increased, while MWB significantly declined, furthermore both changes had a significant between-level variability; (c) regarding the longitudinal bivariate (cross-lagged) relationships, EmEx and MWB negatively and significantly affected each other from week to week, furthermore both cross-lagged relationships showed to have significant between-level variance. Overall, our study pointed attention to the vicious cycle between EmEx and MWB, even after controlling for their autoregressive component and trend, and supported the utility of DSEM in occupational health psychology studies.

The Influence of Leadership on Employees' Work-nonwork Interface and Wellbeing: A Scoping Review

Many current working conditions are characterized by increasing blurred boundaries between work and nonwork with spillover that impact employees' and recovery processes and wellbeing. Research, although emerging, considers these processes in the leadership-wellbeing relationship insufficiently. The main aim of this study, therefore, was to enhance our understanding of the role of leadership on employee's work-nonwork interface and wellbeing. To address these processes adequately, longitudinal research is most appropriate. To our best knowledge, no review exists that could inform longitudinal studies on the leadership-employee wellbeing relationship with a focus on spillover and recovery processes. Following the PRISMA Extension for Scoping Reviews, we apply a narrative synthesis of 21 identified studies to organize the research landscape. We make three main contributions: First, we adopt an integrated resource-demands based process perspective and expand the leadership-employee wellbeing relationship by including spillover and recovery. Second, we map the used theoretical approaches and analyzed research gaps. Third, we offer a list of the issues and potential remedies of applied methodologies to orient further research. Results show, that while work-nonwork research is predominantly approached from a negative conflict-based view, research focused more on positive than on negative leadership. We identify two broad categories of investigated mechanisms, namely bolstering/hampering mechanisms, and buffering/strengthening mechanisms. Findings also highlight the importance of personal energy resources and therefore call for more attention to affect-driven theories. The identified predominance of the IT and healthcare sectors and of working parents warrants more representative research. We offer recommendations to advance future research both theoretically and methodologically.

On the Combined Role of Work Engagement and Burnout Among Novice Nurses: A Longitudinal Person-Centered Analysis

This study examined the profiles taken by global and specific facets of work engagement and burnout among a sample of novice ( M tenure = 3.77 years) nurses ( n = 570; 88.4% females; M age = 29.3 years). This study also investigated the role of psychological need satisfaction in the prediction of profile membership, and the implications of these profiles for attitudinal (job satisfaction), behavioral (in-role and extra-role performance, absenteeism, and presenteeism) and health (perceived health difficulties) outcomes. Latent profile analyses revealed six profiles: High Global Engagement and Low Global Burnout, Moderately High Global Engagement and Moderately Low Global Burnout, Low Dedication and Efficacy and Highly Cynical, Dedicated but Exhausted Burned-Out, Low Efficacy Burned-Out, and Very Low Global Engagement and Very High Global Burnout. Although these profiles were replicated over a 1-year period, profile membership was only weakly stable. The most beneficial outcomes were observed in the High Global Engagement and Low Global Burnout profile, and the most detrimental in the Very Low Global Engagement and Very High Global Burnout profile. Need satisfaction was also associated with profile membership, although associations were stronger for global levels of need satisfaction than for specific levels of autonomy, competence, and relatedness need satisfaction.