Dissecting the dynamics of SARS-CoV-2 reinfections in blood donors with pauci- or asymptomatic COVID-19 disease course at initial infection.

BACKGROUND: Understanding the dynamics of SARS-CoV-2 reinfections is crucial for public health policy, vaccine development, and long-term disease management. However, data on reinfections in the general population remains scarce. OBJECTIVES: This study aimed to investigate SARS-CoV-2 antibody dynamics among Austrian blood donors, representing healthy adults, over two years following primary infection and to evaluate the reinfection risk. METHODS: 117,895 blood donations were analysed for SARS-CoV-2 total anti-N levels from June 2020 to December 2023. We examined anti-N and anti-S antibody dynamics and in vitro functionality in 230 study participants at five defined times during 24 months, assessing associations with demographics, vaccination status, and reinfection awareness. RESULTS: The seroprevalence of SARS-CoV-2 infection-derived anti-N antibodies increased over time, reaching 90% by February 2023 and remaining at that level since then. According to serological screenings, we found an 88% reinfection rate, which is in contrast to participants' reports indicating a reinfection rate of 59%. Our data further reveal that about 26% of reinfections went completely unnoticed. Antibody dynamics were independent of age, sex, and ABO blood group. Interestingly, individuals with multiple reinfections reported symptoms more frequently during their primary infection. Our results further show that vaccination modestly affected reinfection risk and disease course. CONCLUSION: SARS-CoV-2 reinfections were uncommon until the end of 2021 but became common with the advent of Omicron. This study highlights the underestimation of reinfection rates in healthy adults and underscores the need for continued surveillance, which is an important support for public health policies and intervention strategies.

Epstein-Barr virus reactivation is not causative for post-COVID-19-syndrome in individuals with asymptomatic or mild SARS-CoV-2 disease course.

PURPOSE: Post-COVID-19-Syndrome (PCS) frequently occurs after an infection with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). However, the understanding of causative mechanisms is still limited. Aim of this study was to determine the PCS rate among SARS-CoV-2 seropositive blood donors as representatives of supposedly healthy adults, who had experienced an asymptomatic or mild COVID-19 disease course, and to examine whether Epstein-Barr virus (EBV) is reactivated in individuals reporting PCS. METHODS: The PCS rate was determined using questionnaires that included questions about infection and persistent symptoms. Pre-pandemic blood samples and samples collected at regular, pre-defined times after a SARS-CoV-2 infection were analysed for neopterin, a marker for antiviral immune responses, by an enzyme-linked immunosorbent assay (ELISA). Additionally, we determined the rate of SARS-CoV-2 anti-N total antibodies using an electrochemiluminescence immunoassay (ECLIA). Furthermore, quantitative real-time polymerase chain reaction (qPCR) to detect EBV DNA and ECLIA screening for EBV viral capsid-antigen (VCA) IgM, IgG and EBV nuclear antigen 1 (EBNA) IgG were performed. RESULTS: Our data reveal that 18% of all infections result in PCS, with symptoms lasting for up to one year. In individuals reporting PCS, no elevated levels of neopterin were detected, indicating no persisting pro-inflammatory, antiviral immune response. SARS-CoV-2 antibody levels were declining in all participants in comparable manner over time, pointing to a successful virus clearance. In individuals with PCS, no EBV DNA could be detected. Furthermore, no differences in EBV specific antibody levels could be shown in PCS groups compared to non-PCS groups. CONCLUSION: Our data suggest that PCS in per se healthy, immunocompetent adults cannot be ascribed to a reactivation of EBV.

Effects of response format on achievement and aptitude assessment results: multi-level random effects meta-analyses.

Psychological achievement and aptitude tests are fundamental elements of the everyday school, academic and professional lives of students, instructors, job applicants, researchers and policymakers. In line with growing demands for fair psychological assessment tools, we aimed to identify psychometric features of tests, test situations and test-taker characteristics that may contribute to the emergence of test bias. Multi-level random effects meta-analyses were conducted to estimate mean effect sizes for differences and relations between scores from achievement or aptitude measures with open-ended (OE) versus closed-ended (CE) response formats. Results from 102 primary studies with 392 effect sizes revealed positive relations between CE and OE assessments (mean r = 0.67, 95% CI [0.57; 0.76]), with negative pooled effect sizes for the difference between the two response formats (mean d av = -0.65; 95% CI [-0.78; -0.53]). Significantly higher scores were obtained on CE exams. Stem-equivalency of items, low-stakes test situations, written short answer OE question types, studies conducted outside the United States and before the year 2000, and test-takers' achievement motivation and sex were at least partially associated with smaller differences and/or larger relations between scores from OE and CE formats. Limitations and the results' implications for practitioners in achievement and aptitude testing are discussed.

Persistence of Naturally Acquired and Functional SARS-CoV-2 Antibodies in Blood Donors One Year after Infection.

The developmental course of antibodies produced after a SARS-CoV-2 infection has been insufficiently investigated so far. Therefore, the aim of this study was to investigate the dynamics of SARS-CoV-2 antibody levels against the viral nucleocapsid- and spike-protein among Austrian blood donors as a representative group of a supposedly healthy population within the first year after a SARS-CoV-2 infection. The impact of age, sex, vaccination status, AB0-blood group and awareness about the infection was evaluated. Our study shows that the level of anti-N antibodies is declining, while anti-S antibody levels remain stable. Antibodies detected were functional in vitro. Age, sex and blood group do not influence antibody dynamics. However, blood group AB shows significantly lower antibody levels and in vitro functionality compared to other blood groups. Our data reveal that one out of five individuals was not aware of a previous SARS-CoV-2 infection and that the disease course neither affects the level of antibody production nor the in vitro functionality. We also found that 14% of participants show persisting COVID-19-related symptoms for up to nine months. Our results provide valuable insights into the dynamics of the immune response after a SARS-CoV-2 infection in a representative cohort of adult blood donors in Central Europe.

Modeling Responses and Response Times in Tests With the Hierarchical Model and the Three-Parameter Lognormal Distribution.

The hierarchical model of van der Linden is the most popular model for responses and response times in tests. It is composed of two separate submodels-one for the responses and one for the response times-that are joined at a higher level. The submodel for the response times is based on the lognormal distribution. The lognormal distribution is a skew distribution with a support from zero to infinity. Such a support is unrealistic as the solution process demands a minimal processing time that sets a response time threshold. Ignoring this response time threshold misspecifies the model and threatens the validity of model-based inferences. In this article, the response time model of van der Linden is replaced by a model that is based on the three-parameter lognormal distribution. The three-parameter lognormal distribution extends the lognormal distribution by an additional location parameter that bounds the support away from zero. Two different approaches to model fitting are proposed and evaluated with regard to parameter recovery in a simulation study. The extended model is applied to two data sets. In both data sets, the extension improves the fit of the hierarchical model.

Psychometric Properties of the Multifaceted Gender-Related Attributes Survey (GERAS).

Since the 1920s, psychologists have sought to assess the sex- and gender-related attributes of men and women, including primarily aspects of personality and focusing on positive characteristics. In this paper, we introduce a new questionnaire for assessing gender-related attributes with a broader approach than provided by previous ones. Therefore, the questionnaire includes (a) not only personality traits but also cognitions and interests and (b) not only positive but also negative and neutral characteristics. Two independent datasets were acquired (Study 1: N = 1,466; Study 2: N = 471) for development and psychometric analyses. Factor analysis confirmed a hierarchical structure with two separate dimensions of masculinity and femininity overarching the multiple first-order domains of personality, cognition, and interests. Analyses of reliability and convergence with other gender identity and personality scales revealed sufficient values. The new instrument discriminated between the biological sexes and was related to the gender quotas in participants' occupations and social environments, thus providing evidence for criterion-related validity. Therefore, we propose the Gender-Related Attributes Survey (GERAS) as a useful tool for objectively assessing gender-related attributes across multiple facets in gender and sex-difference research.

How Do Men and Women Perceive a High-Stakes Test Situation?

The results of some high-stakes aptitude tests in Austria have revealed sex differences. We suggest that such discrepancies are mediated not principally by differences in aptitudes, skills, and knowledge but sex differences in test takers' perceptions of the test situation. Furthermore, previous research has indicated that candidates' evaluations of the fairness of the testing tool are of great importance from an institutional point of view because such perceptions are known to influence an organization's attractiveness. In this study, we aimed to investigate how women and men perceive and evaluate certain aspects of a high-stakes test situation by using the results and evaluations of an actual medical school aptitude test (747 applicants; 59% women). Test takers voluntarily evaluated the test situation and rated specific aspects of it (e.g., the fairness of the selection tool) and provided information regarding their test anxiety immediately after they completed the 4-h test. Data analyses indicated small, albeit significant sex differences in participants' perceptions of the test. Men described the test situation as slightly giving more opportunity to socialize and possessing more opportunity to deceive than women did. Furthermore, the perception of the test situation did not directly predict the test results, but it served as a moderator for the indirect effect of test anxiety on test results. By contrast, there were significant direct effects but no indirect effects of situation perception on evaluations of the fairness of the selection tool: The more the test situation was perceived as a high-pressure situation, the lower the fairness ratings of the testing tool. Results were discussed with reference to gender roles and test fairness.

Women Who Emerge as Leaders in Temporarily Assigned Work Groups: Attractive and Socially Competent but Not Babyfaced or Naïve?

The underrepresentation of women in top positions has been in the spotlight of research for decades. Prejudice toward female leaders, which decreases women's chances of emerging as leaders, has been discussed as a potential reason. Aiming to investigate the underlying mechanisms of this prejudice, we focused on the question of how facial characteristics might influence women's leadership emergence. Because other research has related ascribed social competence and ascribed naïveté to attractiveness and babyfacedness, respectively, we hypothesized that ascribed social competence would mediate the impact of ascribed attractiveness on leadership emergence and that ascribed naïveté would mediate the impact of ascribed babyfacedness on leadership emergence. In a pilot study, we analyzed data from 101 participants of a women's leadership contest held in 2015 in Germany. We then confirmed these results in a methodologically improved main study on other women who participated in the contest in one of two other years: 2016 and 2017 (N = 195). Women applied to participate in the contest by recording their answers to several questions in a video interview. In the contest, they were assigned to teams of about ten women each and worked on several assessment-center-like tasks. After each task, each member of each team nominated the three women they believed showed the best leadership potential in their group. We operationalized women's leadership emergence as the number of nominations received. We measured participants' facial attractiveness, babyfacedness, social competence, and naïveté by having raters follow a specifically developed rating manual to rate the answers the women gave in the video interviews. In both studies, the results indicated that women with higher ascribed facial attractiveness had higher ascribed social competence, which significantly predicted leadership emergence in the contest. Likewise, women with higher ascribed babyfacedness had higher ascribed naïveté, which significantly, albeit only slightly, negatively predicted leadership emergence. We discuss the implications of the results for personnel selection.

Sex and menstrual cycle influences on three aspects of attention.

Sex differences and menstrual cycle influences have been investigated in a variety of cognitive abilities, but results regarding attention are comparably sparse. In the present study, 35 men and 32 naturally cycling women completed three attention tasks, which are commonly used in neuropsychological assessment situations. All participants completed two sessions, which were time-locked to the follicular (low progesterone) and luteal cycle phase (high progesterone) in women. The results reveal higher operation speed during sustained attention in men, but no sex differences in selected and divided attention. Menstrual cycle influences were observed on accuracy in all three tasks. During divided and sustained attention, for which a male advantage was previously reported, accuracy was higher during the early follicular compared to the mid-luteal cycle phase. Furthermore, during selected and sustained attention the learning effect from the first to the second test session was higher in women who started the experiment in their luteal cycle phase. These results suggest a possible role of progesterone in modulating the ability to focus on certain stimulus aspects, while inhibiting others and to sustain attention over a longer period of time.

Asynchronous Video Interviewing as a New Technology in Personnel Selection: The Applicant's Point of View.

The present study aimed to integrate findings from technology acceptance research with research on applicant reactions to new technology for the emerging selection procedure of asynchronous video interviewing. One hundred six volunteers experienced asynchronous video interviewing and filled out several questionnaires including one on the applicants' personalities. In line with previous technology acceptance research, the data revealed that perceived usefulness and perceived ease of use predicted attitudes toward asynchronous video interviewing. Furthermore, openness revealed to moderate the relation between perceived usefulness and attitudes toward this particular selection technology. No significant effects emerged for computer self-efficacy, job interview self-efficacy, extraversion, neuroticism, and conscientiousness. Theoretical and practical implications are discussed.

Neuroimaging supports behavioral personality assessment: Overlapping activations during reflective and impulsive risk taking.

Personality assessment has been challenged by the fact that different assessment methods (implicit measures, behavioral measures and explicit rating scales) show little or no convergence in behavioral studies. In this neuroimaging study we address for the first time, whether different assessment methods rely on separate or overlapping neuronal systems. Fifty nine healthy adult participants completed two objective personality tests of risk propensity: the more implicit Balloon Analogue Risk Task (BART) and the more explicit Game of Dice Task (GDT). Significant differences in activation, as well as connectivity patterns between both tasks were observed. In both tasks, risky decisions yielded significantly stronger activations than safe decisions in the bilateral caudate, as well as the bilateral Insula. The finding of overlapping brain areas validates different assessment methods, despite their behavioral non-convergence. This suggests that neuroimaging can be an important tool of validation in the field of personality assessment.

Interactive effects of culture and sex hormones on the sex role self-concept.

Sex role orientation, i.e., a person's masculinity or femininity, influences cognitive and emotional performance, like biological sex. While it is now widely accepted that sex differences are modulated by the hormonal status of female participants (menstrual cycle, hormonal contraceptive use), the question, whether hormonal status and sex hormones also modulate participants sex role orientation has hardly been addressed previously. The present study assessed sex role orientation and hormonal status as well as sex hormone levels in three samples of participants from two different cultures (Northern American, Middle European). Menstrual cycle phase did not affect participant's masculinity or femininity, but had a significant impact on reference group. While women in their follicular phase (low levels of female sex hormones) determined their masculinity and femininity in reference to men, women in their luteal phase (high levels of female sex hormones) determined their masculinity and femininity in reference to women. Hormonal contraceptive users rated themselves as significantly more feminine and less masculine than naturally cycling women. Furthermore, the impact of biological sex on the factorial structure of sex role orientation as well as the relationship of estrogen to masculinity/femininity was modulated by culture. We conclude that culture and sex hormones interactively affect sex role orientation and hormonal status of participants should be controlled for when assessing masculinity and/or femininity.

Overweight people have low levels of implicit weight bias, but overweight nations have high levels of implicit weight bias.

Although a greater degree of personal obesity is associated with weaker negativity toward overweight people on both explicit (i.e., self-report) and implicit (i.e., indirect behavioral) measures, overweight people still prefer thin people on average. We investigated whether the national and cultural context - particularly the national prevalence of obesity - predicts attitudes toward overweight people independent of personal identity and weight status. Data were collected from a total sample of 338,121 citizens from 71 nations in 22 different languages on the Project Implicit website (https://implicit.harvard.edu/) between May 2006 and October 2010. We investigated the relationship of the explicit and implicit weight bias with the obesity both at the individual (i.e., across individuals) and national (i.e., across nations) level. Explicit weight bias was assessed with self-reported preference between overweight and thin people; implicit weight bias was measured with the Implicit Association Test (IAT). The national estimates of explicit and implicit weight bias were obtained by averaging the individual scores for each nation. Obesity at the individual level was defined as Body Mass Index (BMI) scores, whereas obesity at the national level was defined as three national weight indicators (national BMI, national percentage of overweight and underweight people) obtained from publicly available databases. Across individuals, greater degree of obesity was associated with weaker implicit negativity toward overweight people compared to thin people. Across nations, in contrast, a greater degree of national obesity was associated with stronger implicit negativity toward overweight people compared to thin people. This result indicates a different relationship between obesity and implicit weight bias at the individual and national levels.

Response Time Modeling Based on the Proportional Hazards Model.

Response time data are regularly analyzed in psychology. When several response times are assessed per participant, it is common practice to use latent trait models in order to account for the dependency of the response times from the same participant. One such model is the proportional hazards model with random effects. Despite its popularity in survival analysis, this model is rarely used in psychology because of the difficulty of model estimation when latent variables are present. In this article, a new estimation method is proposed. This method is based on the rank correlation matrix containing Kendall's Tau coefficients and unweighted least squares estimation ( Kendall, 1938 ). Compared with marginal maximum likelihood estimation, the new estimation approach is simple, not computationally intensive, and almost as efficient. Additionally, the approach allows the implementation of a test for model fit. Feasibility of the estimation method and validity of the fit test is demonstrated with a simulation study. An application of the model to a real data set is provided.

Frequency and perceived severity of negative experiences during medical education in Germany--results of an online-survery of medical students.

AIMS: Negative experiences during the course of medical education have been reported in many countries, but little is known about the perceived severity of these experiences. We studied for the first time how often students at a medical university in Germany have had negative experiences, and how severe they perceive these to be. METHOD: We asked medical students in an online survey whether they felt adequately appreciated, had experienced peer rivalry, verbal abuse by their mentors, physical abuse or mistreatment, sexual harassment, racial or ethnic discrimination, or any other kind of mistreatment. RESULTS: Of 391 students, 56% stated that they felt insufficiently appreciated, 51% had experienced rivalry, and 34% had suffered verbal abuse. Fifty-nine percent of the students felt highly aggrieved because of verbal abuse, while 46% were aggrieved by the ongoing rivalry and 32% by the lack of appreciation. Significantly fewer students felt upset because they were passed over or ignored (21%). Generally, female students felt more often aggrieved by these negative experiences than their male colleagues. CONCLUSION: Of the possible negative experiences, the less prominent ones such as lack of appreciation or verbal abuse are not only frequent, they are also perceived as very upsetting. Medical teachers should reflect this more in their day-to-day dealings with students and aim to improve on their contact with the students accordingly.

A latent trait model for response times on tests employing the proportional hazards model.

For computer-administered tests, response times can be recorded conjointly with the corresponding responses. This broadens the scope of potential modelling approaches because response times can be analysed in addition to analysing the responses themselves. For this purpose, we present a new latent trait model for response times on tests. This model is based on the Cox proportional hazards model. According to this model, latent variables alter a baseline hazard function. Two different approaches to item parameter estimation are described: the first approach uses a variant of the Cox model for discrete time, whereas the second approach is based on a profile likelihood function. Properties of each estimator will be compared in a simulation study. Compared to the estimator for discrete time, the profile likelihood estimator is more efficient, that is, has smaller variance. Additionally, we show how the fit of the model can be evaluated and how the latent traits can be estimated. Finally, the applicability of the model to an empirical data set is demonstrated.