MiCOL6, MiCOL7A and MiCOL7B isolated from mango regulate flowering and stress response in transgenic Arabidopsis.

The CONSTANS/CONSTANS-Like (CO/COL) family has been shown to play important roles in flowering, stress tolerance, fruit development and ripening in higher plants. In this study, three COL genes, MiCOL6, MiCOL7A and MiCOL7B, which each contain only one CCT domain, were isolated from mango (Mangifera indica), and their functions were investigated. MiCOL7A and MiCOL7B were expressed mainly at 20 days after flowering (DAF), and all three genes were highly expressed during the flowering induction period. The expression levels of the three genes were affected by light conditions, but only MiCOL6 exhibited a clear circadian rhythm. Overexpression of MiCOL6 promoted earlier flowering, while overexpression of MiCOL7A or MiCOL7B delayed flowering compared to that in the control lines of Arabidopsis thaliana under long-day (LD) and short-day (SD) conditions. Overexpressing MiCOL6, MiCOL7A or MiCOL7B in transgenic plants increased superoxide dismutase (SOD) and proline levels, decreased malondialdehyde (MAD) levels, and improved survival under drought and salt stress. In addition, yeast two-hybrid (Y2H) and bimolecular fluorescence complementation (BiFC) analyses showed that the MiCOL6, MiCOL7A and MiCOL7B proteins interact with several stress- and flower-related proteins. This work demonstrates the functions of MiCOL6, MiCOL7A and MiCOL7B and provides a foundation for further research on the role of mango COL genes in flowering regulation and the abiotic stress response.

Emotion regulation flexibility and psychosis: A longitudinal study disentangling components of flexibility in psychosis-proneness.

OBJECTIVES: Flexibility in self-regulation has emerged as an important component of mental health. Previous findings found that deficits in two components of regulatory flexibility were linked cross-sectionally to psychosis-proneness. We aimed to replicate and extend these findings longitudinally. METHODS: We measured psychosis-proneness and components of emotion regulation flexibility (i.e. context sensitivity, repertoire and feedback) at two time points with three months in between. RESULTS: Two flexibility components predicted psychotic-like experiences. The ability to detect the absence of contextual cues was implicated in both positive and negative dimensions but through opposite pathways. Expressive suppression ability-a subcomponent of repertoire-predicted positive symptoms. None of the flexibility components predicted distress related to the symptoms. CONCLUSIONS: The current study provides further evidence on the implication of emotion regulation flexibility in the longer-term maintenance of psychotic-like experiences. Future studies can advance this work further by evaluating possible bidirectional relationships between psychotic-like experiences and deficits in emotion regulation flexibility.

Resilience and Disaster: Flexible Adaptation in the Face of Uncertain Threat.

Disasters cause sweeping damage, hardship, and loss of life. In this article, we first consider the dominant psychological approach to disasters and its narrow focus on psychopathology (e.g., posttraumatic stress disorder). We then review research on a broader approach that has identified heterogeneous, highly replicable trajectories of outcome, the most common being stable mental health or resilience. We review trajectory research for different types of disasters, including the COVID-19 pandemic. Next, we consider correlates of the resilience trajectory and note their paradoxically limited ability to predict future resilient outcomes. Research using machine learning algorithms improved prediction but has not yet illuminated the mechanism behind resilient adaptation. To that end, we propose a more direct psychological explanation for resilience based on research on the motivational and mechanistic components of regulatory flexibility. Finally, we consider how future research might leverage new computational approaches to better capture regulatory flexibility in real time.

Lack of the CCT domain changes the ability of mango MiCOL14A to resist salt and drought stress in Arabidopsis.

CONSTANS (CO) is the key gene in the photoperiodic pathway that regulates flowering in plants. In this paper, a CONSTANS-like 14A (COL14A) gene was obtained from mango, and its expression patterns and functions were characterized. Sequence analysis shows that MiCOL14A-JH has an additional A base, which leads to code shifting in subsequent coding boxes and loss of the CCT domain. The MiCOL14A-JH and MiCOL14A-GQ genes both belonged to group Ⅲ of the CO/COL gene family. Analysis of tissue expression patterns showed that MiCOL14A was expressed in all tissues, with the highest expression in the leaves of seedling, followed by lower expression levels in the flowers and stems of adult leaves. However, there was no significant difference between different mango varieties. At different development stages of flowering, the expression level of MiCOL14A-GQ was the highest in the leaves before floral induction period, and the lowest at flowering stage, while the highest expression level of MiCOL14A-JH appeared in the leaves at flowering stage. The transgenic functional analysis showed that both MiCOL14A-GQ and MiCOL14A-JH induced delayed flowering of transgenic Arabidopsis. In addition, MiCOL14A-JH enhanced the resistance of transgenic Arabidopsis to drought stress, while MiCOL14A-GQ increased the sensitivity of transgenic Arabidopsis to salt stress. Further proteinprotein interaction analysis showed that MiCOL14A-JH directly interacted with MYB30-INTERACTING E3 LIGASE 1 (MiMIEL1), CBL-interacting protein kinase 9 (MiCIPK9) and zinc-finger protein 4 (MiZFP4), but MiCOL14A-GQ could not interact with these three stress-related proteins. Together, our results demonstrated that MiCOL14A-JH and MiCOL14A-GQ not only regulate flowering but also play a role in the abiotic stress response in mango, and the lack of the CCT domain affects the proteinprotein interaction, thus affecting the gene response to stress. The insertion of an A base can provide a possible detection site for mango resistance breeding.

Impact and centrality of attention dysregulation on cognition, anxiety, and low mood in adolescents.

Functional impairments in cognition are frequently thought to be a feature of individuals with depression or anxiety. However, documented impairments are both broad and inconsistent, with little known about when they emerge, whether they are causes or effects of affective symptoms, or whether specific cognitive systems are implicated. Here, we show, in the adolescent ABCD cohort (N = 11,876), that attention dysregulation is a robust factor underlying wide-ranging cognitive task impairments seen in adolescents with moderate to severe anxiety or low mood. We stratified individuals high in DSM-oriented depression or anxiety symptomology, and low in attention deficit hyperactivity disorder (ADHD), as well as vice versa - demonstrating that those high in depression or anxiety dimensions but low in ADHD symptoms not only exhibited normal task performance across several commonly studied cognitive paradigms, but out-performed controls in several domains, as well as in those low in both dimensions. Similarly, we showed that there were no associations between psychopathological dimensions and performance on an extensive cognitive battery after controlling for attention dysregulation. Further, corroborating previous research, the co-occurrence of attention dysregulation was associated with a wide range of other adverse outcomes, psychopathological features, and executive functioning (EF) impairments. To assess how attention dysregulation relates to and generates diverse psychopathology, we performed confirmatory and exploratory network analysis with different analytic approaches using Gaussian Graphical Models and Directed Acyclic Graphs to examine interactions between ADHD, anxiety, low mood, oppositional defiant disorder (ODD), social relationships, and cognition. Confirmatory centrality analysis indicated that features of attention dysregulation were indeed central and robustly connected to a wide range of psychopathological traits across different categories, scales, and time points. Exploratory network analysis indicated potentially important bridging traits and socioenvironmental influences in the relationships between ADHD symptoms and mood/anxiety disorders. Trait perfectionism was uniquely associated with both better cognitive performance and broad psychopathological dimensions. This work suggests that attentional dysregulation may moderate the breadth of EF, fluid, and crystalized cognitive task outcomes seen in adolescents with anxiety and low mood, and may be central to disparate pathological features, and thus a target for attenuating wide-ranging negative developmental outcomes.

Psychological distress and everyday discrimination among Chinese international students one year into COVID-19: a preregistered comparative study.

BACKGROUND AND OBJECTIVES: During the COVID-19 pandemic, Chinese international students (CISs) experienced distress associated with both unique and universal stressors, among which everyday discrimination may be especially harmful. DESIGN: Cross-sectional design. METHODS: We compared distress between CISs (N = 381) and Chinese students in Chinese colleges (CSCCs; N = 305) and examined correlates of distress including the association between everyday discrimination and distress as well as moderators on this link. RESULTS: Compared to CSCCs, CISs reported greater depression and anxiety. Sensitivity analyses - multiple regressions controlling for covariates and coarsened exact matched (CEM) comparisons - replicated the results. 28.6% CISs reported suicidal ideation (PHQ-9 item 9) at least several days during the past two weeks. Within CISs, depression was associated with being older, female, non-heterosexual, increased everyday discrimination, decreased self-esteem, coping flexibility, perceived social support, and satisfaction with online learning. Anxiety was associated with being in undergraduate years, female, increased discrimination, decreased self-esteem, coping flexibility, and satisfaction with online learning. High perceived social support and being heterosexual weakened the association between discrimination and anxiety and depression, while high self-esteem strengthened the association between discrimination and anxiety. CONCLUSIONS: Our study underscored the distress experienced by CISs and highlighted risk/protective factors that may warrant attention.

Overexpression of two CONSTANS-like 2 (MiCOL2) genes from mango delays flowering and enhances tolerance to abiotic stress in transgenic Arabidopsis.

The CO/COL gene family plays an important role in regulating photoperiod-dependent flowering time in plants. In this study, two COL2 gene homologs, MiCOL2A and MiCOL2B, were isolated from 'SiJiMi' mango, and their expression patterns and functions were characterized. The MiCOL2A and MiCOL2B genes both belonged to the group Ⅰ of CO/COL gene family. MiCOL2A and MiCOL2B exhibited distinct circadian rhythms and were highly expressed in leaves during the flowering induction period. Subcellular localization analysis revealed that MiCOL2A and MiCOL2B are localized in the nucleus. The overexpression of MiCOL2A and MiCOL2B significantly delayed flowering time in Arabidopsis under both long-day (LD) and short-day (SD) conditions. The MiCOL2A and MiCOL2B overexpression Arabidopsis plants exhibited more tolerance to slat and drought stress after abiotic stress treatments, with greater ROS scavenging capacity and protective enzyme activity, less cell damage and death and higher expression of stress response genes than wild type plants. Bimolecular fluorescence complementation (BiFC) analysis showed that MiCOL2A and MiCOL2B interacted with several stress-related proteins, including zinc finger protein 4 (MiZFP4), MYB30-INTERACTING E3 LIGASE 1 (MiMIEL1) and RING zinc finger protein 34 (MiRZFP34). The results indicate that MiCOL2A and MiCOL2B are not only involved in flowering time but also play a positive role in abiotic stress responses in plants.

Components of emotion regulation flexibility and psychosis: The association between psychosis-proneness and context sensitivity.

OBJECTIVES: Emotion regulation flexibility has been conceptualized as a multi-componential construct involving context sensitivity, repertoire and feedback responsiveness. Psychosis research has yet to incorporate these new developments in the study of emotion regulation. Thus, we sought to advance even further the knowledge on emotion regulation in psychosis by adopting the emotion regulation flexibility approach as proposed by Bonanno and Burton (Perspectives on Psychological Science, 2013, 8, 591). METHOD: In total, 401 participants completed 4 scales assessing the multi-components of emotion regulation flexibility and psychosis-proneness. RESULTS: Our results indicated that Context Sensitivity (i.e., Cue Absence) and Feedback Responsiveness (i.e., Evaluation) were associated with psychosis-proneness. Cue absence was specifically associated with the positive dimension, while both Cue Absence and Enhancement ability were associated with the negative dimension. CONCLUSIONS: Overall, our results suggest that emotional context insensitivity is the most relevant component of regulatory flexibility in the case of psychosis-proneness. Thus, the disruption in this first step of flexible emotion regulation might be already present in those prone to psychosis. Difficulties in decoding appropriately the contextual cues might further disrupt the other steps of emotion regulation contributing to the psychotic (-like) experiences. This study needs replication in clinical and non-clinical samples.

Understanding posttraumatic stress trajectories in adolescent females: A strength-based machine learning approach examining risk and protective factors including online behaviors.

Heterogeneity in the course of posttraumatic stress symptoms (PTSS) following a major life trauma such as childhood sexual abuse (CSA) can be attributed to numerous contextual factors, psychosocial risk, and family/peer support. The present study investigates a comprehensive set of baseline psychosocial risk and protective factors including online behaviors predicting empirically derived PTSS trajectories over time. Females aged 12-16 years (N = 440); 156 with substantiated CSA; 284 matched comparisons with various self-reported potentially traumatic events (PTEs) were assessed at baseline and then annually for 2 subsequent years. Latent growth mixture modeling (LGMM) was used to derive PTSS trajectories, and least absolute shrinkage and selection operator (LASSO) logistic regression was used to investigate psychosocial predictors including online behaviors of trajectories. LGMM revealed four PTSS trajectories: resilient (52.1%), emerging (9.3%), recovering (19.3%), and chronic (19.4%). Of the 23 predictors considered, nine were retained in the LASSO model discriminating resilient versus chronic trajectories including the absence of CSA and other PTEs, low incidences of exposure to sexual content online, minority ethnicity status, and the presence of additional psychosocial protective factors. Results provide insights into possible intervention targets to promote resilience in adolescence following PTEs.

Genome-wide identification of the mango CONSTANS (CO) family and functional analysis of two MiCOL9 genes in transgenic Arabidopsis.

CONSTANS/CONSTANS-like (CO/COL) transcription factors play a vital role in the photoperiodic flowering pathway. However, the biological functions of COL genes in mango are unclear. In this study, we identified 31 COL genes from the 'Jin Huang' mango genome and divided them into three groups according to the specific gene structure and protein domain characteristics. These 31 MiCOL genes were heterogeneously distributed on 14 chromosomes. Expression pattern analysis showed that most MiCOL genes were mainly expressed in leaves and stems and during the floral induction period, followed by the floral differentiation period. The expression of COL genes was induced by drought and salt stress, but the expression patterns of different genes were different, which may suggest that MiCOL genes are involved in the abiotic stress response of mango. Under salt and drought conditions, two MiCOL9 genes can improve the resistance of Arabidopsis by improving the scavenging ability of ROS and proline accumulation and reducing the MDA content. Additionally, overexpression of MiCOL9 genes significantly inhibited flowering in transgenic Arabidopsis. This work provides an important foundation for understanding the biological roles of mango COL genes in plant growth, development and stress responses.

Depression and PTSD in the aftermath of strict COVID-19 lockdowns: a cross-sectional and longitudinal network analysis.

Background: Post-traumatic stress disorder (PTSD) and major depressive disorder (MDD) are two highly comorbid psychological outcomes commonly studied in the context of stress and potential trauma. In Hubei, China, of which Wuhan is the capital, residents experienced unprecedented stringent lockdowns in the early months of 2020 when COVID-19 was first reported. The comorbidity between PTSD and MDD has been previously studied using network models, but often limited to cross-sectional data and analysis. Objectives: This study aims to examine the cross-sectional and longitudinal network structures of MDD and PTSD symptoms using both undirected and directed methods. Methods: Using three types of network analysis - cross-sectional undirected network, longitudinal undirected network, and directed acyclic graph (DAG) - we examined the interrelationships between MDD and PTSD symptoms in a sample of Hubei residents assessed in April, June, August, and October 2020. We identified the most central symptoms, the most influential bridge symptoms, and causal links among symptoms. Results: In both cross-sessional and longitudinal networks, the most central depressive symptoms included sadness and depressed mood, whereas the most central PTSD symptoms changed from irritability and hypervigilance at the first wave to difficulty concentrating and avoidance of potential reminders at later waves. Bridge symptoms showed similarities and differences between cross-sessional and longitudinal networks with irritability/anger as the most influential bridge longitudinally. The DAG found feeling blue and intrusive thoughts the gateways to the emergence of other symptoms. Conclusions: Combining cross-sectional and longitudinal analysis, this study elucidated central and bridge symptoms and potential causal pathways among PTSD and depression symptoms. Clinical implications and limitations are discussed.

Antecedentes: El trastorno de estrés postraumático (TEPT) y el trastorno depresivo mayor (TDM) son dos resultados psicológicos altamente comórbidos que se estudian comúnmente en el contexto del estrés y trauma potencial. En Hubei, China, de la cual Wuhan es la capital, los residentes experimentaron cuarentenas estrictas sin precedentes en los primeros meses de 2020 cuando se informó por primera vez del COVID-19. La comorbilidad entre TEPT y TDM se ha estudiado previamente utilizando modelos de red, pero a menudo se limita a datos y análisis transversales.Objetivos: Este estudio tiene como objetivo examinar las estructuras de red transversales y longitudinales de los síntomas de TDM y TEPT utilizando métodos dirigidos y no dirigidos.Métodos: Mediante el uso de tres tipos de análisis de red: red no dirigido transversal, red no dirigido longitudinal y gráfico acíclico dirigido (DAG), examinamos las interrelaciones entre los síntomas de TDM y TEPT en una muestra de residentes de Hubei evaluados en abril, junio, agosto y octubre de 2020. Identificamos los síntomas centrales, los síntomas puente más influyentes y los vínculos causales entre los síntomas.Resultados: Tanto en redes transversales como longitudinales, los síntomas depresivos más centrales incluyeron tristeza y estado de ánimo deprimido, mientras que los síntomas de TEPT más centrales cambiaron de irritabilidad e hipervigilancia en la primera ola a dificultad para concentrarse y evitar posibles recordatorios en las oleadas posteriores. Los síntomas puente, mostraron similitudes y diferencias entre las redes transversales y longitudinales con irritabilidad/ira como el puente más influyente longitudinalmente. El DAG descubrió que la tristeza y los pensamientos intrusivos son las puertas de entrada a la aparición de otros síntomas.Conclusiones: Al combinar los análisis transversal y longitudinal, este estudio elucidó los síntomas centrales y puente y las posibles vías causales entre los síntomas de TEPT y de depresión. Se discuten las implicaciones clínicas y las limitaciones.

Domains of life satisfaction and perceived health and incidence of chronic illnesses and hospitalization: evidence from a large population-based Chinese cohort.

BACKGROUND: Global life satisfaction has been consistently linked to physical health. A deeper and culturally nuanced understanding of which domains of satisfaction may be responsible for this association has implications for developing novel, scalable, and targeted interventions to improve physical health at the population level. OBJECTIVES: This cohort study draws participants from the China Family Panel Studies (CPFS), a nationally representative cohort of 10,044 Chinese adults to assess the independent associations between three important domains of life satisfaction (and their changes) and indicators of physical health. RESULTS: A total of 10,044 participants were included in the primary analysis (4,475 female [44.6%]; mean [SD] age, 46.2 [12.1] years). Higher baseline levels of satisfaction with job, marriage, and medical services were independently associated with better perceived physical health (0.04 < ß values < 0.12). Above and beyond their baseline levels, increases in satisfaction with job, marriage, and medical services were independently associated with better perceived physical health (0.04 < ß values < 0.13). On the contrary, only higher baseline levels of and increases in satisfaction with marriage showed prospective associations with lower odds of incidence of chronic health condition and hospitalization (0.84 < ORs < 0.91). CONCLUSIONS: These findings provide policymakers and interventionists interested in leveraging psychological health assets with rich information to rank variables and develop novel interventions aimed at improving wellbeing at the population level.

Isolation and Functional Characterization of Two CONSTANS-like 16 (MiCOL16) Genes from Mango.

CONSTANS (CO) is an important regulator of photoperiodic flowering and functions at a key position in the flowering regulatory network. Here, two CO homologs, MiCOL16A and MiCOL16B, were isolated from "SiJiMi" mango to elucidate the mechanisms controlling mango flowering. The MiCOL16A and MiCOL16B genes were highly expressed in the leaves and expressed at low levels in the buds and flowers. The expression levels of MiCOL16A and MiCOL16B increased during the flowering induction period but decreased during the flower organ development and flowering periods. The MiCOL16A gene was expressed in accordance with the circadian rhythm, and MiCOL16B expression was affected by diurnal variation, albeit not regularly. Both the MiCOL16A and MiCOL16B proteins were localized in the nucleus of cells and exerted transcriptional activity through their MR domains in yeast. Overexpression of both the MiCOL16A and MiCOL16B genes significantly repressed flowering in Arabidopsis under short-day (SD) and long-day (LD) conditions because they repressed the expression of AtFT and AtSOC1. This research also revealed that overexpression of MiCOL16A and MiCOL16B improved the salt and drought tolerance of Arabidopsis, conferring longer roots and higher survival rates to overexpression lines under drought and salt stress. Together, our results demonstrated that MiCOL16A and MiCOL16B not only regulate flowering but also play a role in the abiotic stress response in mango.

Psychopathology and resilience following strict COVID-19 lockdowns in Hubei, China: Examining person- and context-level predictors for longitudinal trajectories.

In Hubei, China, where the coronavirus disease (COVID-19) epidemic first emerged, the government has enforced strict quarantine and lockdown measures. Longitudinal studies suggest that the impact of adverse events on psychological adjustment is highly heterogenous. To better understand protective and risk factors that predict longitudinal psychopathology and resilience following strict COVID-19 lockdowns, this study used unsupervised machine learning to identify half-year longitudinal trajectories (April, June, August, and October, 2020) of three mental health outcomes (depression, anxiety, and posttraumatic stress disorder [PTSD]) among a sample of Hubei residents (N = 326), assessed a broad range of person- and context-level predictors, and applied least absolute shrinkage and selection operator (LASSO) logistic regression, a supervised machine learning approach, to select best predictors for trajectory memberships of resilience and chronic psychopathology. Across outcomes, most individuals remained resilient. Models with both person- and context-level predictors showed excellent predictive accuracy, except for models predicting chronic anxiety. The person-level models showed either good or excellent predictive accuracy. The context-level models showed good predictive accuracy for depression trajectories but were only fair in predicting trajectories of anxiety and PTSD. Overall, the most critical person-level predictors were worry, optimism, fear of COVID, and coping flexibility, whereas important context-level predictors included features of stressful life events, community satisfaction, and family support. This study identified clinical patterns of response to COVID-19 lockdowns and used a combination of risk and protective factors to accurately differentiate these patterns. These findings have implications for clinical risk identifications and interventions in the context of potential trauma. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Sleep profiles as a longitudinal predictor for depression magnitude and variability following the onset of COVID-19.

The coronavirus disease 2019 (COVID-19) has disrupted multiple domains of life including sleep. The present study used a longitudinal dataset (N = 671) and a person-centered analytic approach - latent profile analysis (LPA) - to elucidate the relationship between sleep and depression. We used LPA to identify profiles of sleep patterns assessed by Pittsburg Sleep Quality Index (PSQI) at the beginning of the study. The profiles were then used as a predictor of depression magnitude and variability over time. Three latent profiles were identified (medicated insomnia sleepers [MIS], inefficient sleepers [IS], and healthy sleepers [HS]). MIS exhibited the highest level of depression magnitude over time, followed by IS, followed by HS. A slightly different pattern emerged for the variability of depression: While MIS demonstrated significantly greater depression variability than both IS and HS, IS and HS did not differ in their variability of depression over time. Medicated insomnia sleepers exhibited both the greatest depression magnitude and variability than inefficient sleepers and healthy sleepers, while the latter two showed no difference in depression variability despite inefficient sleepers' greater depression magnitude than healthy sleepers. Clinical implications and limitations are discussed.

Isolation and functional analysis of two CONSTANS-like 1 genes from mango.

The CONSTANS-LIKE1 (COL1) gene plays an important role in the regulation of photoperiodic flowering in plants. In this study, two COL1 homolog genes, MiCOL1A and MiCOL1B, were isolated from mango (Mangifera indica L.). The open reading frames of MiCOL1A and MiCOL1B are 852 and 822 bp in length and encode 284 and 274 amino acids, respectively. The MiCOL1A and MiCOL1B proteins contain only one CCT domain and belong to the CO/COL group IV protein family. MiCOL1A and MiCOL1B were expressed both in vegetative and reproductive organs but with expression level differences. MiCOL1A was highly expressed in juvenile and adult leaves, but MiCOL1B was highly expressed in flowers. Seasonal expression analysis showed that MiCOL1A and MiCOL1B have similar expression patterns and higher expression levels during flower induction and flower organ differentiation periods. However, MiCOL1A and MiCOL1B exhibited unstable patterns in circadian expression analysis. MiCOL1A and MiCOL1B were localized in the nucleus and had transcriptional activation activity in yeast. Overexpression of MiCOL1A and MiCOL1B resulted in significantly delayed flowering time in Arabidopsis. Furthermore, we also found that overexpression of MiCOL1A and MiCOL1B enhanced drought tolerance in transgenic Arabidopsis. The results demonstrated that MiCOL1A and MiCOL1B are not only involved in flowering regulation but also play a role in the stress response of plants.

Positive functioning at work during COVID-19: Posttraumatic growth, resilience, and emotional exhaustion in Chinese frontline healthcare workers.

Research on traumatic events often emphasizes the importance of posttraumatic growth (PTG) and resilience, yet few studies have explored their trends and their relationship throughout the progression of traumatic events. This paper explores the longitudinal relationship between resilience and PTG, as well as the role of job burnout in this relationship, among frontline healthcare workers during the COVID-19 pandemic, who have been exposed to high-risk work environments over extraordinarily long workdays. In Study 1, 134 Chinese frontline healthcare workers completed a three-wave survey (Time 1, Time 2, and Time 3) in February-May 2020. In Study 2, 401 frontline healthcare workers completed a cross-sectional survey. The cross-lagged analysis suggested that resilience at Time 1 positively predicted PTG at Time 2, which in turn positively predicted resilience at Time 3. PTG at Time 1 also positively predicted resilience at Time 2 (Study 1). However, job burnout was negatively related to both resilience and PTG; in particular, emotional exhaustion moderated the link between PTG and resilience (Study 2). Our findings support a cycle of reinforcement between resilience and PTG over time. The positive effect of PTG on resilience, however, is undermined by emotional exhaustion. Implications for future intervention research and workplace support are discussed.

Corrigendum: Previous Radiotherapy Increases the Efficacy of IL-2 in Malignant Pleural Effusion: Potential Evidence of a Radio-Memory Effect?

[This corrects the article DOI: 10.3389/fimmu.2018.02916.].

Depression Following COVID-19 Lockdown in Severely, Moderately, and Mildly Impacted Areas in China.

Background: The Coronavirus Disease 2019 (COVID-19) pandemic has led to overwhelming levels of distress as it spread rapidly from Wuhan, Hubei province to other regions in China. To contain the transmission of COVID-19, China has executed strict lockdown and quarantine policies, particularly in provinces with the highest severity (i.e., Hubei). Although the challenges faced by individuals across provinces may share some similarities, it remains unknown as to whether and how the severity of COVID-19 is related to elevation in depression. Methods: The present study compared depression among individuals who lived in mildly, moderately, and severely impacted provinces in China following the lockdown (N = 1,200) to norm data obtained from a representative sample within the same provinces in 2016 (N = 950), and examined demographic correlates of depression in 2020. Results: Residents in 2020, particularly those living in more heavily impacted provinces, reported increased levels of depression than the 2016 sample. Subsequent analyses of sub-dimensions of depression replicated the findings for depressed mood but not for positive affect, as the latter only declined among residents in the most severely impacted area. Increased depressed mood was associated with female, younger age, fewer years of education, and being furloughed from work, whereas reduced positive affect was associated with younger age and fewer years of education only. Conclusions: This study underscored the impact of COVID-19 on depression and suggested individual characteristics that may warrant attention.

Anxiety and resilience in the face of natural disasters associated with climate change: A review and methodological critique.

In the past two decades, climate change-related natural disasters, such as hurricanes, floods, and droughts have become increasingly frequent and severe, impacting the emotional and psychological well-being of those who are directly or indirectly exposed to them. Despite great interest in understanding differences in anxiety and resilience in response to natural disasters, enthusiasm appears to outstrip empirical clarity, as there remains considerable ambiguity as to determinants of resilient or pathological outcomes following exposure to natural disasters. In addition, there are several major methodological limitations in climate change and related natural disaster research, including the use of univariate analyses, cross-sectional design, and retrospective measures. Keeping these limitations in mind, we first review literature examining the mental health outcomes of natural disasters. Findings suggest that, overall, resilience is more common than pathological outcomes. Second, we use a multi-dimensional framework of resilience to selectively review factors at the event, individual, as well as family and community levels that could help inform resilient or pathological outcomes. Finally, we consider key limitations and future directions for research and practice in the field of anxiety and resilience in response to climate disasters.