Testing the Effectiveness of the Health Belief Model in Predicting Preventive Behavior During the COVID-19 Pandemic: The Case of Romania and Italy

none5sìWe use a cultural psychology approach to examine the relevance of the Health Belief Model (HBM) for predicting a variety of behaviors that had been recommended by health officials during the initial stages of the COVID-19 lockdown for containing the spread of the virus and not overburdening the health system in Europe. Our study is grounded in the assumption that health behavior is activated based on locally relevant perceptions of threats, susceptibility and benefits in engaging in protective behavior, which requires careful attention to how these perceptions might be structured and activated. We assess the validity of the HBM in two European countries that have been relatively understudied, using simultaneous measurements during acute periods of infection in Romania and Italy. An online questionnaire provided a total of (N = 1863) valid answers from both countries. First, to understand individual difference patterns within and across populations, we fit a General Linear Model in which endorsement was predicted by behavior, country, their interaction, and a random effect for participants. Second, we assess the effect of demographics and health beliefs on prevention behaviors by fitting a multi-group path model across countries, in which each behavior was predicted by the observed health belief variables and demographics. Health beliefs showed stronger relationships with the recommended behaviors than demographics. Confirming previously reported relationships, self-efficacy, perceived severity, and perceived benefits were consistently related to the greater adoption of individual behaviors, whereas greater perceived barriers were related to lower adoption of health behaviors. However, we also point to important location specific effects that suggest that local norms shape protective behavior in highly contextualized ways.openKarl, Johannes Alfons; Fischer, Ronald; Druică, Elena; Musso, Fabio; Stan, AnastasiaKarl, Johannes Alfons; Fischer, Ronald; Druică, Elena; Musso, Fabio; Stan, Anastasi

Rapid review and meta-meta-analysis of self-guided interventions to address anxiety, depression, and stress during COVID-19 social distancing

We conducted a rapid review and quantitative summary of meta-analyses that have examined interventions which can be used by individuals during quarantine and social distancing to manage anxiety, depression, stress, and subjective well-being. A literature search yielded 34 meta-analyses (total number of studies k = 1,390, n = 145,744) that were summarized. Overall, self-guided interventions showed small to medium effects in comparison to control groups. In particular, self-guided therapeutic approaches (including cognitive-behavioral, mindfulness, and acceptance-based interventions), selected positive psychology interventions, and multi-component and activity-based interventions (music, physical exercise) showed promising evidence for effectiveness. Overall, self-guided interventions on average did not show the same degree of effectiveness as traditional guided individual or group therapies. There was no consistent evidence of dose effects, baseline differences, and differential effectiveness of eHealth interventions. More research on the effectiveness of interventions in diverse cultural settings is needed

Rituals, rigidity and cognitive load: A competitive test of ritual benefits for stress

A central hypothesis to account for the ubiquity of rituals across cultures is their supposed anxiolytic effects: rituals being maintained because they reduce existential anxiety and uncertainty. We aimed to test the anxiolytic effects of rituals by investigating two possible underlying mechanisms for it: cognitive load and repetitive movement. In our pre-registered experiment (osf.io/rsu9x), 180 undergraduates took part in either a stress or a control condition and were subsequently assigned to either control, cognitive load, undirected movement, a combination of undirected movement and cognitive load, or a ritualistic intervention. Using both repeated self-report measures and continuous physiological indicators of anxiety, we failed to find direct support for a cognitive suppression effect of anxiety trough ritualistic behavior. Nevertheless, we found that induced stress increased participants’ subsequent repetitive behavior, which in turn reduced physiological arousal. This study provides novel evidence for plausible underlying effects of the proposed anxiolytic effect of rituals: repetitive behavior but not cognitive load may decrease physiological stress responses during ritual

Niche diversity effects on personality measurement – evidence from large national samples during the COVID-19 pandemic

We report systematic variability in the psychometric properties of a brief personality inventory during the early stages of the COVID-19 pandemic. Drawing upon recent discussions about the universality vs cultural relativism of personality measures, we review and comparatively test theories predicting systematic variability in personality measurement across cultures using an established brief personality measure applied to population samples in 16 nations during the first wave of the COVID-19 pandemic (N = 35,052). We found systematic variation in factor replicability and effective dimensionality. In line with previous theorizing, factors replicated better in contexts with greater niche diversity. Examining possible drivers underlying this association, the investigation of the individual components in the niche construction index suggested that life expectancy and to a lesser degree economic complexity are associated with greater personality structure differentiation. Population-level indicators of acute threat due to COVID-19 did not show credible effects. These patterns suggest that a) investigation of personality structure in population samples can provide useful insights into personality dynamics, b) socioecological factors have a systematic impact on survey responses, but c) we also need better theorizing and research about both personality and culture to understand how niche construction dynamics operate

The complexities of “minding the gap”: perceived discrepancies between Values and behavior affect well-being

Research on self-determination theory and clinical models such as acceptance and commitment therapy has shown that behaving in line with our values is a key to maintaining healthy well-being. Combining work on values and experimental studies on moral hypocrisy and well-being, we experimentally tested how behaving incongruently with values affects well-being. We hypothesized that discrepancies between how one thinks one should have behaved and how one reported one did behave would be more detrimental to well-being when the behaviors were value-expressive and motivationally coherent compared to a control condition; greater perceived gaps between how participants feel they should have acted and how they report they did act would be associated with more negative well-being outcomes; the relationship between value manipulation and well-being would be mediated by perceived behavioral gap; and that personal values would interact with value manipulation to produce differential effects on well-being. One-hundred and fifty-eight first-year psychology students participated in an experiment designed to highlight discrepancies between how participants have behaved in accordance with a certain value and how they think they should have behaved, before reporting their well-being. As hypothesized, greater discrepancies between reported past behavior and how participants thought they should have behaved was associated with negative affect and decreased reports of positive well-being. We found no evidence for differential effects of manipulated value-expressive behaviors on well-being, or for our hypothesis that personal values and manipulated value-expressive behaviors interact. Nevertheless, value content mattered in terms of inducing perceived behavioral gaps. Our study suggests that perceived discrepancies between any value and reported past behavior can have a negative impact on some aspects of well-being. We discuss how the application of our methodology can be used in further studies to disentangle the value-behavior nexus

Comparative analysis of machine learning algorithms for multi-syndrome classification of neurodegenerative syndromes

Importance: The entry of artificial intelligence into medicine is pending. Several methods have been used for the predictions of structured neuroimaging data, yet nobody compared them in this context. Objective: Multi-class prediction is key for building computational aid systems for differential diagnosis. We compared support vector machine, random forest, gradient boosting, and deep feed-forward neural networks for the classification of different neurodegenerative syndromes based on structural magnetic resonance imaging. Design, setting, and participants: Atlas-based volumetry was performed on multi-centric T1-weighted MRI data from 940 subjects, i.e., 124 healthy controls and 816 patients with ten different neurodegenerative diseases, leading to a multi-diagnostic multi-class classification task with eleven different classes. Interventions: N.A. Main outcomes and measures: Cohen’s kappa, accuracy, and F1-score to assess model performance. Results: Overall, the neural network produced both the best performance measures and the most robust results. The smaller classes however were better classified by either the ensemble learning methods or the support vector machine, while performance measures for small classes were comparatively low, as expected. Diseases with regionally specific and pronounced atrophy patterns were generally better classified than diseases with widespread and rather weak atrophy. Conclusions and relevance: Our study furthermore underlines the necessity of larger data sets but also calls for a careful consideration of different machine learning methods that can handle the type of data and the classification task best