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Previous research suggested that during the COVID-19 pandemic, mental distress did not affect all people equally. This longitudinal study aims to examine joint trajectories of depressive, anxiety, and stress symptoms in a sample of Italian adults during the pandemic, and to identify psychosocial predictors of distress states. We analyzed four-wave panel data from 3,931 adults who had received assessments of depressive, anxiety and stress symptoms between April 2020 and May 2021. Trajectories of individual psychological distress were identified by Latent Class Growth Analysis (LCGA) with parallel processes, and multinomial regression models were conducted to identify baseline predictors. Parallel process LCGA identified three joint trajectory classes for depression, anxiety and stress symptoms. Most individuals (54%) showed a resilient trajectory. However, two subgroups showed vulnerable joint trajectories for depression, anxiety and stress. Expressive suppression, intolerance to uncertainty, and fear of COVID-19 were risk characteristics associated with vulnerable trajectories for mental health distress. Moreover, vulnerability to mental health distress was higher in females, younger age groups and those unemployed during the first lockdown. Findings support the fact that group heterogeneity could be detected in the trajectories of mental health distress during the pandemic and it may help to identify subgroups at risk of worsening states., Competing Interests: Declaration of Competing Interest None of the authors report any conflicts of interest with this work., (Copyright © 2023 Elsevier B.V. All rights reserved.)

Background: A growing body of research has highlighted the negative effects of the COVID-19 pandemic on women's mental health. Previous studies showed that women have higher levels of depression, anxiety and PTSD, and worse psychological adjustment than men, which also persisted after the earlier phase of the pandemic. This study aimed to evaluate changes in women's psychological distress during the pandemic and to evaluate the factors that have a more significant impact in predicting women's psychological distress., Methods: This two-wave longitudinal study (T1 = Italian first lockdown, and T2 = second phase, when the restrictive measures were eased) involved 893 women (M age = 36.45, SD = 14.48). Participants provided demographic and health data as well as measures of psychological distress, emotion regulation processes, and ability to tolerate uncertainty., Results: No significant changes were found in women's psychological distress between T1 and T2, i.e., during and after the first lockdown. Lower social stability status and higher maladaptive emotional coping predicted high psychological distress., Conclusions: Results showed that modifiable psychological variables play a central role in predicting distress and indicated that emotion regulation interventions might be helpful in increasing psychological resilience and mitigating the adverse impacts of the COVID-19 pandemic within the female population.

Background: Although preliminary research has evidenced negative psychological consequences of the COVID-19 pandemic among the general population, little research has been carried out examining the interplay among the broader dimensions and correlates of individual distress. Via network analysis, the current study investigated the pathways that underlie some components of psychological distress and their changes over time (during and post COVID-19-related lockdown)., Methods: 1,129 adult participants (79.1% women) completed a two-wave online survey during and after the lockdown, and reported on variables such as depression, anxiety, stress, fear of COVID, intolerance of uncertainty, emotion regulation and social support. The networks were estimated via Gaussian Graphical Models and their temporal changes were compared through the centrality measures., Results: Depression, stress, anxiety and fear of COVID formed a spatially contiguous pattern, which remained unchanged in both the two waves. After the lockdown, the fear of COVID node reduced its strength in the network, whereas inhibitory intolerance of uncertainty and emotion suppression were associated with depression. Emotion regulation was connected to depression, but not to stress and anxiety during both waves. Perceived emotional support had few connections to the other nodes., Limitations: Only 32.7% of participants provided complete responses for both waves., Conclusion: The COVID-19 outbreak has had a significant psychosocial impact on adults. In the context of the network approach, depressive symptoms had the highest strength and their associations to other dimensions of individual distress may be key factors in understanding the influence of exposure to the COVID-19 outbreak on mental health., (Copyright © 2021. Published by Elsevier B.V.)