The network structure of psychopathological and resilient responses to the pandemic: A multicountry general population study of depression and anxiety.

Commonly identified patterns of psychological distress in response to adverse events are characterized by resilience (i.e., little to no distress), delayed (i.e., distress that increases over time), recovery (i.e., distress followed by a gradual decrease over time), and sustained (i.e., distress remaining stable over time). This study aimed to examine these response patterns during the COVID-19 pandemic. Anxiety and depressive symptom data collected across four European countries over the first year of the pandemic were analyzed (N = 3,594). Participants were first categorized into groups based on the four described patterns. Network connectivity and symptom clustering were then estimated for each group and compared. Two thirds (63.6%) of the sample displayed a resilience pattern. The sustained distress network (16.3%) showed higher connectivity than the recovery network (10.0%) group, p = .031; however, the resilient network showed higher connectivity than the delayed network (10.1%) group, p = .016. Regarding symptom clustering, more clusters emerged in the recovery network (i.e., three) than the sustained network (i.e., two). These results replicate findings that resilience was the most common mental health pattern over the first pandemic year. Moreover, they suggest that high network connectivity may be indicative of a stable mental health response over time, whereas fewer clusters may be indicative of a sustained distress pattern. Although exploratory, the network perspective provides a useful tool for examining the complexity of psychological responses to adverse events and, if replicated, could be useful in identifying indicators of protection against or vulnerability to future psychological distress.

ICD-11 prolonged grief disorder: Prevalence, predictors, and co-occurrence in a large representative sample.

The International Classification of Diseases has recently defined Prolonged Grief Disorder (PGD) with symptoms such as longing, worry, and intense emotional pain that exceed sociocultural norms more than 6 months after the loss. This study aims to (a) estimate the prevalence of this new diagnostic category, (b) identify its sociodemographic and loss-related predictors, and (c) assess the co-occurrence of PGD with other psychological disorders and substance abuse. A large representative sample of Spanish adults (N = 1498) participated. Several multivariate binary logistic regression and multivariate logistic regression models were used. Results showed a 9.95% prevalence in the total sample. Catholic beliefs were a positive predictor, while higher income and more time since loss significantly decreased the odds of PGD. PGD significantly increased the likelihood of anxiety, depression, somatisation, post-traumatic stress disorder, loneliness and substance use. Our study contributes to assessing the multicultural PGD validity, as our results from a large representative sample are comparable to those in other countries with the PGDS. Our findings have direct implications for the assessment and treatment of bereavement, identifying for practitioners variables that make individuals more vulnerable to PGD. Results highlighted the high co-occurrence of PGD with other psychological illnesses and increased drug use.

Measurement invariance of the Patient Health Questionnaire (PHQ-9) and Generalized Anxiety Disorder scale (GAD-7) across four European countries during the COVID-19 pandemic.

BACKGROUND: The Patient Health Questionnaire (PHQ-9) and Generalized Anxiety Disorder scale (GAD-7) are self-report measures of major depressive disorder and generalised anxiety disorder. The primary aim of this study was to test for differential item functioning (DIF) on the PHQ-9 and GAD-7 items based on age, sex (males and females), and country. METHOD: Data from nationally representative surveys in UK, Ireland, Spain, and Italy (combined N = 6,054) were used to fit confirmatory factor analytic and multiple-indictor multiple-causes models. RESULTS: Spain and Italy had higher latent variable means than the UK and Ireland for both anxiety and depression, but there was no evidence for differential items functioning. CONCLUSIONS: The PHQ-9 and GAD-7 scores were found to be unidimensional, reliable, and largely free of DIF in data from four large nationally representative samples of the general population in the UK, Ireland, Italy and Spain.

Does perceptual grouping improve visuospatial working memory? Optimized processing or encoding bias.

Visual working memory has been defined as a system of limited capacity that enables the maintenance and manipulation of visual information. However, some perceptual features like Gestalt grouping could improve visual working memory effectiveness. In two different experiments, we aimed to explore how the presence of elements grouped by color similarity affects the change detection performance of both, grouped and non-grouped items. We combined a change detection task with a retrocue paradigm in which a six item array had to be remembered. An always valid, variable-delay retrocue appeared in some trials during the retention interval, either after 100 ms (iconic-trace period) or 1400 ms (working memory period), signaling the location of the probe. The results indicated that similarity grouping biased the information entered into the visual working memory, improving change detection accuracy only for previously grouped probes, but hindering change detection for non-grouped probes in certain conditions (Exp. 1). However, this bottom-up automatic encoding bias was overridden when participants were explicitly instructed to ignore grouped items as they were irrelevant for the task (Exp. 2).

Post-Traumatic Growth and Stress-Related Responses During the COVID-19 Pandemic in a National Representative Sample: The Role of Positive Core Beliefs About the World and Others.

Given the need to understand both the negative and positive psychological consequences of the current global COVID-19 pandemic (Brewin et al. in Perspectives in Public Health 10.1177/1757913920957365 2020), the aim of this study was to test a cognitive model of post-traumatic symptoms (PTS) and post-traumatic growth (PTG) during confinement caused by the SARS-COV-2 epidemic. In line with cognitive models of trauma elaboration (Park in Psychological Bulletin 10.1037/a0018301), we included in our model some beliefs associated to the world (e.g., primal beliefs about a good world), to the self (e.g., death anxiety or orientation toward the future) and to others (e.g., suspiciousness or identification with humanity). To evaluate the explanatory model, a national representative sample of adults between the ages of 18 and 75 (N = 1951) was surveyed between 7th and 13th April, 2020, in the middle of a strict 7-week national confinement. Structural equation modelling yielded a very similar model to the one initially specified. The results highlight the role of both negative and positive core beliefs, which are pertinent to the current pandemic threat, in the appearance of PTS and PTG, respectively. In short, primal beliefs about a good world, openness to the future and identification with humanity were associated with PTG; while suspiciousness, intolerance of uncertainty, anxiety about death and also identification with humanity were associated with PTS and consequent impairment. This is an innovative study of different pathways to traumatic responses and growth during a pandemic. Future research is needed to replicate its findings.

The network structure of paranoia dimensions and its mental health correlates in the general population: The core role of loneliness.

Paranoid ideas are the most common abnormal beliefs in the schizophrenia spectrum, are also prevalent in non-clinical populations, and are highly correlated with other mental health problems such as anxiety, depression and low levels of well-being. Two previous studies with the same British population sample used confirmatory factor analysis and network analysis to show that the spectrum of paranoid beliefs is made up of four factors or dimensions (i.e., interpersonal sensitivity, mistrust, ideas of reference and ideas of persecution). The aims of this study are: 1) to explore the distribution and the structure of paranoid beliefs in a Spanish general population by applying the network approach and 2) to use network analysis to explore for the first time whether specific domains of paranoid ideation (i.e., dimensions) are specifically associated with mental health correlates such as depression, anxiety, loneliness, and well-being. We found a continuous distribution of paranoid beliefs among the 1328 individuals constituting the sample (e.g., 29,2 % did not endorse any items, 4.6 % endorsed half of the items, while 0.8 % endorsed all paranoid items). Paranoid ideas form three dimensions; interpersonal sensitivity, mistrust, and ideas of persecution (ideas of reference did not form a separate factor). The network model showed that loneliness has a pivotal role in connecting paranoid ideation with general psychopathology measures (i.e., depression, anxiety, loneliness and well-being). Research and clinical implications derived from our findings are also discussed.

A multicomponent positive psychology group intervention for people with severe psychiatric conditions; a randomized clinical trial.

OBJECTIVE: The aim of this study was to examine the efficacy and effectiveness of a theory-driven multicomponent positive psychology intervention to improve well-being for individuals with severe psychiatric conditions (SPCs) in comparison with treatment as usual (TAU). This intervention moves away from the traditional psychiatric perspectives that focused on symptoms and deficits, promoting a broader view of outcomes such as noncritical self-acceptance, strengths, and positive relationships with others, among other things. METHOD: A two-arm randomized and outcome-blinded trial with pre-post and 6-month follow-up evaluations was conducted to assess the intervention. A total of 141 participants were allocated to either the experimental condition or the waiting list group receiving their TAU. A mixed-effect model was used to examine the efficacy of the intervention and a repeated-measures Student's t-test for the follow-up effectiveness analysis. RESULTS: The intervention protocol was highly acceptable for participants, showing very high participant satisfaction as well as good attendance and adherence rates. At the end of the group therapy, participants reported a significant improvement in self-acceptance and environmental mastery and, these changes were maintained in the follow-up assessment after 6 months. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: The results of this randomized control trial provide further evidence supporting that positive psychology approaches can be a powerful complementary strategy to promote more comprehensive psychiatric rehabilitation services for people with SPCs. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

The mediating role of controllability appraisals and coping strategies on adaptive functioning after job loss: a path model.

Job loss is a stressful event that increases the risk of experiencing depression and anxiety, especially during the initial months of unemployment. This study examined differences in psychological symptoms and resilient functioning accounted by employment status. The results pointed out that recently unemployed compared to currently employed individuals had lower levels of perceived controllability and resilience as well as higher levels of depression and anxiety. Path analyses showed that lower controllability appraisals at wave 1 of recently unemployed compared to employed individuals, in turn, predicted a lower use of active coping and reappraisal at wave 2, with the latter further accounting for lower levels in resilience. Higher use of distraction further mediated the relation between employment status and higher levels of depression and anxiety symptoms. Our findings demonstrate the importance of controllability appraisals and coping strategies used to promote adaptive psychological functioning following job loss.

A symptom-based definition of resilience in times of pandemics: patterns of psychological responses over time and their predictors.

Background: It has been suggested that resilience is best conceptualized as healthy and stable functioning in the face of a potentially traumatic event. However, most research on this field has focused on self-reported resilience, and other patterns of response when facing adversity, in cross-sectional designs. Objective: Alternatively, we aimed to study changing patterns of psychological responses to the COVID-19 pandemic in the general population, based on patterns of symptoms, and factors contributing to those patterns. Method: A national representative sample of Spain (N = 1,628) responded to an internet-based survey at two assessment points, separated by 1 month (April and May 2020), during the official national confinement stage. Based upon whether participants exhibited absence/presence of distress (i.e., significant trauma-related, depression, or anxiety symptoms) at one or two of the assessment times, patterns of psychological responses were defined by categorizing individuals into one of the four categories: Resilience, Delayed distress, Recovered, and Sustained distress. Results: Analyses of the levels of disturbance associated with the symptoms provided support to that four-fold distinction of patterns of responses. Furthermore, resilience responses were the most common psychological response to the pandemic. Multinomial regression analyses revealed that the main variables increasing the probability of resilience to COVID-19 were being male, older, having no history of mental health difficulties, higher levels of psychological well-being and high identification with all humanity. Also, having low scores in several variables (i.e., anxiety and economic threat due to COVID-19, substance use during the confinement, intolerance to uncertainty, death anxiety, loneliness, and suspiciousness) was a significant predictor of a resilient response to COVID-19. Conclusion: Our findings are consistent with previous literature that conceptualizes resilience as a dynamic process. The clinical implications of significant predictors of the resilience and the rest of psychological patterns of response are discussed.

Antecedentes: Se ha sugerido que la mejor manera de conceptualizar la resiliencia es como un funcionamiento saludable y estable ante un evento potencialmente traumático. Sin embargo, la mayor parte de las investigaciones sobre la resiliencia y otras pautas de respuesta ante la adversidad se han centrado en el uso de cuestionarios de autoinforme de resiliencia en diseños transversales.Objetivo: Alternativamente, nuestro objetivo fue estudiar los cambios en los patrones de las respuestas psicológicas a la pandemia de COVID-19 en la población general y analizar de manera empírica las características que contribuyen a la respuesta resiliente.Métodos: Se utilizó una muestra nacional representativa española (N=1.628), que respondió a una encuesta realizada a través de Internet, en dos momentos de evaluación, separados por un mes, durante la etapa de confinamiento asociada a la pandemia (Abril y Mayo 2020). Se definieron los patrones de respuesta psicológica en función de la ausencia/presencia de malestar (v.g., síntomas significativos de estrés post-traumático, depresión y Ansiedad) en los dos momentos de evaluación, clasificando a los individuos en: resiliencia, malestar tardío, recuperación y malestar sostenido.Resultados: Análisis de los niveles de interferencia apoyaron estos cuatro de patrones dinámicos de respuesta psicológica. Además, la respuesta de resiliencia fue la más común frente a la pandemia. Un análisis de regresión multinomial indicó que los predictores de una mayor probabilidad de resiliencia fueron ser hombre, tener más edad, no tener antecedentes de salud mental, y altos niveles de identificación con la humanidad y de bienestar psicológico. Además, bajos niveles en otras variables (ansiedad y amenaza económica debida a la pandemia, consumo de sustancias durante el confinamiento, intolerancia a la incertidumbre, ansiedad ante la muerte, soledad, y desconfianza) fueron también predictores significativos de una respuesta de resiliencia psicológica al COVID-19.Conclusión: Nuestros hallazgos están en línea con la literatura previa que identifica la resiliencia como un patrón de respuesta común y un proceso dinámico. Se discuten las implicaciones clínicas de los predictores significativos de los cuatro diferentes patrones de respuesta.

Psychological Adjustment in Spain during the COVID-19 Pandemic: Positive and Negative Mental Health Outcomes in the General Population.

In the midst of the COVID-19 epidemic, Spain was one of the countries with the highest number of infections and a high mortality rate. The threat of the virus and consequences of the pandemic have a discernible impact on the mental health of citizens. This study aims to (a) evaluate the levels of anxiety, depression and well-being in a large Spanish sample during the confinement, (b) identify potential predictor variables associated to experiencing both clinical levels of distress and well-being in a sample of 2,122 Spanish people. By using descriptive analyses and logistic regression results revealed high rates of depression, anxiety and well-being. Specifically, our findings revealed that high levels of anxiety about COVID-19, increased substance use and loneliness as the strongest predictors of distress, while gross annual incomes and loneliness were strongest predictors of well-being. Finding of the present study provide a better insight about psychological adjustment to a pandemic and allows us to identify which population groups are at risk of experiencing higher levels of distress and which factors contribute to greater well-being, which could help in the treatments and prevention in similar stressful and traumatic situations.