Measuring various aspects of coronavirus anxiety: a psychometric evaluation of Pandemic anxiety and Coronophobia scales from the latent and network perspective.

Since the outbreak of COVID-19, understanding and describing the changes in experiences related to the pandemic and its correlates have become crucial. The current study aims to provide a psychometric evaluation and examination of the relationship of two COVID-related anxiety scales through the latent and network approach. The data was collected from the same participants at two time points (Nwave 1 = 1283; Nwave 2 = 1326). The study examined the psychometric properties of the Pandemic Anxiety Scale and Coronaphobia scale. It also examined the factor structure, invariance and relationship with selected variables through both the latent and network approach. The results revealed that both scales provided good fit and psychometric properties-PAS (wave1: CFI = 0.97, TLI = 0.95, RMSEA = 0.05 [0.04, 0.07], SRMR = 0.048; wave2: CFI = 0.97, TLI = 0.95, RMSEA = 0.05 [0.04, 0.07], SRMR = 0.049), and Coronaphobia scale (wave1: CFI = 0.99, TLI = 0.98, RMSEA = 0.05 [0.03, 0.07], SRMR = 0.027; wave2: CFI ~ 1, TLI = 0.99, RMSEA = 0.03 [0.002, 0.06], SRMR = 0.015). The results also indicated that distinguishing between them is crucial as they were related differently to various variables. The global network models provided a more complex insight in their connections with the set of selected variables. The PAS and Coronaphobia scales are brief and valid measures that can be used in research looking at mental health issues related to the pandemic. The present study shows a unique pattern of relationships of these scales with other variables, extending previous studies into the topic of COVID-related anxiety.

Risk and protective factors for (internet) gaming disorder: A meta-analysis of pre-COVID studies.

This large-scale meta-analysis aimed to provide the most comprehensive synthesis to date of the available evidence from the pre-COVID period on risk and protective factors for (internet) gaming disorder (as defined in the DSM-5 or ICD-11) across all studied populations. The risk/protective factors included demographic characteristics, psychological, psychopathological, social, and gaming-related factors. In total, we have included 1,586 effects from 253 different studies, summarizing data from 210,557 participants. Apart from estimating these predictive associations and relevant moderating effects, we implemented state-of-the-art adjustments for publication bias, psychometric artifacts, and other forms of bias arising from the publication process. Additionally, we carried out an in-depth assessment of the quality of underlying evidence by examining indications of selective reporting, statistical inconsistencies, the typical power of utilized study designs to detect theoretically relevant effects, and performed various sensitivity analyses. The available evidence suggests the existence of numerous moderately strong and highly heterogeneous risk factors (e.g., male gender, depression, impulsivity, anxiety, stress, gaming time, escape motivation, or excessive use of social networks) but only a few empirically robust protective factors (self-esteem, intelligence, life satisfaction, and education; all having markedly smaller effect sizes). We discuss the theoretical implications of our results for prominent theoretical models of gaming disorder and for the existing and future prevention strategies. The impact of various examined biasing factors on the available evidence seemed to be modest, yet we identified shortcomings in the measurement and reporting practices.

Coping with cancer: the role of different sources of psychosocial support and the personality of patients with cancer in (mal)adaptive coping strategies.

OBJECTIVES: Cancer is a serious event in a person's life. However, certain coping strategies in relation to selected social, emotional, and personality factors appear to manage the disease. METHODS: Sources of social support were tested in cancer survivors (N = 696) using hierarchical linear regression. Selected personality variables in terms of sociodemographic, clinical, and emotional factors were used as predictors of adaptive and maladaptive coping strategies. RESULTS: It was found that adaptive coping strategies were more frequent in younger patients, in patients who attended cancer support groups and those with a greater level of optimism. Maladaptive coping was related to the higher level of experience of pain and sadness, neuroticism, and pessimism. The absence of a relapse and the time since the disease had been diagnosed were also important factors in coping with cancer. CONCLUSIONS: The results point to the importance of considering various individual factors in the process of intervention to facilitate adaptive coping and to reduce maladaptive coping.

Contextual factors predicting compliance behavior during the COVID-19 pandemic: A machine learning analysis on survey data from 16 countries.

Voluntary isolation is one of the most effective methods for individuals to help prevent the transmission of diseases such as COVID-19. Understanding why people leave their homes when advised not to do so and identifying what contextual factors predict this non-compliant behavior is essential for policymakers and public health officials. To provide insight on these factors, we collected data from 42,169 individuals across 16 countries. Participants responded to items inquiring about their socio-cultural environment, such as the adherence of fellow citizens, as well as their mental states, such as their level of loneliness and boredom. We trained random forest models to predict whether someone had left their home during a one week period during which they were asked to voluntarily isolate themselves. The analyses indicated that overall, an increase in the feeling of being caged leads to an increased probability of leaving home. In addition, an increased feeling of responsibility and an increased fear of getting infected decreased the probability of leaving home. The models predicted compliance behavior with between 54% and 91% accuracy within each country's sample. In addition, we modeled factors leading to risky behavior in the pandemic context. We observed an increased probability of visiting risky places as both the anticipated number of people and the importance of the activity increased. Conversely, the probability of visiting risky places increased as the perceived putative effectiveness of social distancing decreased. The variance explained in our models predicting risk ranged from < .01 to .54 by country. Together, our findings can inform behavioral interventions to increase adherence to lockdown recommendations in pandemic conditions.

Cancer-related posttraumatic growth and posttraumatic stress: how are they connected and what are their correlates?

PURPOSE: Cancer is a stressful life event that can lead to specific posttraumatic reactions. Posttraumatic stress symptoms (PTSS) and posttraumatic growth (PTG) are two main posttraumatic reactions that are related to each other, and both have different correlates. METHODS: The linearity of the relationship between PTG and PTSS and the different socio-demographic, cancer-related, emotional, and psychological correlates were analyzed in patients with cancer (N = 126). RESULTS: The relationship between PTG and PTSS was found to be more curvilinear than linear. PTSS was more strongly related to psychological factors (e.g., anxious preoccupation, hope-helplessness, and resilience) while PTG was strongly related to existential factors (e.g., self-transcendence and religiosity). CONCLUSION: The results show that cancer-related PTSS and PTG are specifically related constructs which are related differently to particular correlates. Specifically, the greatest differences were observed in the psychological variables. In the early phases, therapeutic interventions focused on variables related to PTSS can lead to the reduction of PTSS. In follow-up phases, the therapeutic intervention focused on the increase of the level of variables related to PTG can help the development of PTG.

Relationships between satisfaction with life, posttraumatic growth, coping strategies, and resilience in cancer survivors: A network analysis approach.

OBJECTIVE: Cancer survivors' satisfaction with life should be seen through the psychological factors related to a person's capabilities to face and handle the situation. This study aimed to (1) examine the relationships of satisfaction with life, posttraumatic growth, resilience and coping strategies in a global network model, (2) find the bridge indicators between satisfaction with life and the other constructs, and (3) test for the invariance of the network structures across several moderating variables. METHODS: In a heterogeneous sample of 696 cancer survivors (69% female; mean age = 53.1 ± 15.44 years; median time from being diagnosed = 4 years; breast cancer was the most frequent type of cancer) their satisfaction with life, resilience, coping strategies and posttraumatic growth was measured. In order to account for their complexity, the relationships between the constructs were explored using a network analysis approach. RESULTS: The network analysis shows that satisfaction with life is strongly connected to resilience, moderately connected to coping strategies, and has a weak connection with posttraumatic growth. In the separate networks, the relationships between the psychological constructs were examined in greater detail. Besides some exceptions observed in the degree of disability, the networks were invariant across gender, age, years since being diagnosed, cancer type and treatment type. CONCLUSION: The findings suggest that interventions focused on cancer survivors' coping strategies and resilience could help increase their satisfaction with life. However, further replication of the proposed and/or modified model is needed.

Registered Replication Report: Dijksterhuis and van Knippenberg (1998).

Dijksterhuis and van Knippenberg (1998) reported that participants primed with a category associated with intelligence ("professor") subsequently performed 13% better on a trivia test than participants primed with a category associated with a lack of intelligence ("soccer hooligans"). In two unpublished replications of this study designed to verify the appropriate testing procedures, Dijksterhuis, van Knippenberg, and Holland observed a smaller difference between conditions (2%-3%) as well as a gender difference: Men showed the effect (9.3% and 7.6%), but women did not (0.3% and -0.3%). The procedure used in those replications served as the basis for this multilab Registered Replication Report. A total of 40 laboratories collected data for this project, and 23 of these laboratories met all inclusion criteria. Here we report the meta-analytic results for those 23 direct replications (total N = 4,493), which tested whether performance on a 30-item general-knowledge trivia task differed between these two priming conditions (results of supplementary analyses of the data from all 40 labs, N = 6,454, are also reported). We observed no overall difference in trivia performance between participants primed with the "professor" category and those primed with the "hooligan" category (0.14%) and no moderation by gender.

Assessing the structure and meaningfulness of the dissociative subtype of PTSD.

PURPOSE: Studies conducted in the USA, Canada and Denmark have supported the existence of the dissociative PTSD subtype, characterized primarily by symptoms of depersonalization and derealization. The current study aimed to examine the dissociative PTSD subtype in an Eastern European, predominantly female (83.16%) sample, using an extended set of dissociative symptoms. METHODS: A latent profile analysis was applied to the PTSD and dissociation data from 689 trauma-exposed university students from Slovakia. RESULTS: Four latent profiles of varying PTSD and dissociation symptomatology were uncovered. They were named non-symptomatic, moderate PTSD, high PTSD and dissociative PTSD. The dissociative PTSD profile showed elevations on depersonalization and derealization, but also the alternative dissociative indicators of gaps in awareness and memory, sensory misperceptions and cognitive and behavioural re-experiencing. The core PTSD symptoms of 'memory impairment' and 'reckless or self-destructive behaviour' were also significantly elevated in the dissociative PTSD profile. Moreover, anxiety and anger predicted membership in the dissociative PTSD profile. CONCLUSION: The results provide support for the proposal that the dissociative PTSD subtype can be characterized by a variety of dissociative symptoms.

Positive changes following cancer: posttraumatic growth in the context of other factors in patients with cancer.

PURPOSE: The incidence of posttraumatic growth (PTG) has mostly been researched after typical traumatic events such as war, violence, bereavement, vehicle accidents, and so forth. This research has shown that PTG also occurs after cancer. This article presents the results of research which focused on PTG and what was related to its incidence, such as the specific reaction to trauma, among patients with hematological cancer (N = 72). The differences in the levels of PTG were analyzed from the perspective of demographic characteristics, characteristics of the disease, and treatment. METHODS: PTG was measured using the Posttraumatic Growth Inventory-Czech version (PTGI-CZ). The associated variables were measured using instruments in measuring benefit findings [Benefit Finding Scale for Children-Czech version (BFSC-CZ)], distress tolerance [Distress Tolerance Scale (DTS)], hope [Adult Hope Trait Scale (AHTS)], and optimism [Revised Life Orientation Test (LOT-R)]. RESULTS: Regression analysis found that a higher perception of benefits of the disease (benefit findings) and a greater effort to regulate feelings of distress (distress regulation) explained 67.1% of the variance of PTG. CONCLUSIONS: There were no significant differences in the level of PTG in terms of demographic indicators, type of cancer, current state of disease, or type of treatment. It was found that it was important for patients to perceive that their disease had been beneficial in a certain way. It was also important that patients made a great effort to regulate distress, which can occur when coping with the negative consequences of a disease, and at the same time, it is important for the process of PTG.