Hoarding disorder (HD) can be understood through the cognitive behavioural model in the context of vulnerability factors (for example, personality traits, co-morbidities, traumatic life events) and beliefs about possessions (for example, identity, emotional attachment, memory, utility). Less is known about the strength of these hypothesised beliefs, or how they interact within the hoarding population, with researchers suggesting that specifying beliefs would improve treatment outcomes.

The current study explored beliefs in HD, utilising Q-methodology to explore both categories of beliefs and the interactions between these. Moreover, Q-methodology allowed for comparison of the individuals endorsing specific categories of beliefs.

A comprehensive list of beliefs about possessions was developed. Thirty-two adults with clinically significant levels of HD completed a Q-sort task, alongside measures of proposed vulnerabilities, including co-morbidity, trauma and attachment style.

Q-factor analysis produced four profiles consisting of groups of participants who endorsed the same beliefs and had shared characteristics: (1) ‘Expression of identity’, (2) ‘Responsibility and morality’, (3) ‘Stability and predictability’, and (4) ‘Objects as emotional and meaningful beings’.

The profiles were distinguished by different categories of beliefs and co-morbid symptoms, suggesting that more targeted assessment tools and interventions would be beneficial to account for this heterogeneity within the clinical population. In particular, beliefs about identity and self-concept formed the largest profile, and beliefs about stability and predictability introduce a novel category of beliefs.

Over the past five decades, Eastern Europe has seen relatively little in terms of terrorist attacks. The recent escalation of the Russo-Ukrainian conflict has, however, placed a new spotlight on the region, and new questions and concerns around war, conflict, insurgency, and terrorism are being posed. The Russian invasion and extensive combat operations, the largest in Europe since World War II, are occurring across Ukraine where there are 15 active nuclear reactors, not including the Chernobyl site, that are vulnerable to attack or sabotage. In addition, Eastern Europe has been heavily affected by COVID-19, exposing broad vulnerabilities in an otherwise fragile health care system. This raises concerns over the ability of Eastern European health care institutions to absorb surge and manage terrorist attacks or acts of violent extremism. This study provides an epidemiological description of all terrorism-related fatalities and injuries in Eastern Europe sustained from 1970 – 2019.

Data collection was performed using a retrospective database search through the Global Terrorism Database (GTD). The GTD was searched using the internal database functions for all terrorism events which occurred in Eastern Europe from January 1, 1970 - December 31, 2019. Years 2020 and 2021 were not yet available at the time of this study. Primary weapon type, country where the incident occurred, and number of deaths and injured were collated. Results were exported into an Excel spreadsheet (Microsoft Corp.; Redmond, Washington USA) for analysis.

There were 3,901 terrorism-related events in Eastern Europe between the years 1970 and 2019, inclusive. In total, the attacks resulted in 5,391 deaths and 9,538 persons injured. Explosives were the most commonly used weapon type in 59.2% of all attacks in the region, followed by firearms in 27.6%.

From 1970 through 2019, a total of 3,901 terrorist attacks occurred in Eastern Europe, inflicting 5,391 deaths and 9,538 injuries. Of those, 72.3% occurred in Russia and Ukraine. Terrorist attacks sharply declined since the peak in 2014, but there is an overall uptrend in attacks since the 1970s.

Having attention-deficit/hyperactivity disorder (ADHD) is a risk factor for concussion that impacts concussion diagnosis and recovery. The relationship between ADHD and repetitive subconcussive head impacts on neurocognitive and behavioral outcomes is less well known. This study evaluated the role of ADHD as a moderator of the association between repetitive head impacts on neurocognitive test performance and behavioral concussion symptoms over the course of an athletic season.

Study participants included 284 male athletes aged 13–18 years who participated in high school football. Parents completed the Strengths and Weaknesses of ADHD Symptoms and Normal Behavior (SWAN) ratings about their teen athlete before the season began. Head impacts were measured using an accelerometer worn during all practices and games. Athletes and parents completed behavioral ratings of concussion symptoms and the Attention Network Task (ANT), Digital Trail Making Task (dTMT), and Cued Task Switching Task at pre- and post-season.

Mixed model analyses indicated that neither head impacts nor ADHD symptoms were associated with post-season athlete- or parent-reported concussion symptom ratings or neurocognitive task performance. Moreover, no relationships between head impact exposure and neurocognitive or behavioral outcomes emerged when severity of pre-season ADHD symptoms was included as a moderator.

Athletes’ pre-season ADHD symptoms do not appear to influence behavioral or neurocognitive outcomes following a single season of competitive football competition. Results are interpreted in light of several study limitations (e.g., single season, assessment of constructs) that may have impacted this study’s pattern of largely null results.

To assess preventability of hospital-onset bacteremia and fungemia (HOB), we developed and evaluated a structured rating guide accounting for intrinsic patient and extrinsic healthcare-related risks.

HOB preventability rating guide was compared against a reference standard expert panel.

A 10-member panel of clinical experts was assembled as the standard of preventability assessment, and 2 physician reviewers applied the rating guide for comparison.

The expert panel independently rated 82 hypothetical HOB scenarios using a 6-point Likert scale collapsed into 3 categories: preventable, uncertain, or not preventable. Consensus was defined as concurrence on the same category among ≥70% experts. Scenarios without consensus were deliberated and followed by a second round of rating.

Two reviewers independently applied the rating guide to adjudicate the same 82 scenarios in 2 rounds, with interim revisions. Interrater reliability was evaluated using the κ (kappa) statistic.

Expert panel consensus criteria were met for 52 scenarios (63%) after 2 rounds.

After 2 rounds, guide-based rating matched expert panel consensus in 40 of 52 (77%) and 39 of 52 (75%) cases for reviewers 1 and 2, respectively. Agreement rates between the 2 reviewers were 84% overall (κ, 0.76; 95% confidence interval [CI], 0.64–0.88]) and 87% (κ, 0.79; 95% CI, 0.65–0.94) for the 52 scenarios with expert consensus.

Preventability ratings of HOB scenarios by 2 reviewers using a rating guide matched expert consensus in most cases with moderately high interreviewer reliability. Although diversity of expert opinions and uncertainty of preventability merit further exploration, this is a step toward standardized assessment of HOB preventability.

The COVID-19 pandemic exacerbated gender disparities in some academic disciplines. This study examined the association of the pandemic with gender authorship disparities in clinical neuropsychology (CN) journals.

Author bylines of 1,018 initial manuscript submissions to four major CN journals from March 15 through September 15 of both 2019 and 2020 were coded for binary gender. Additionally, authorship of 40 articles published on pandemic-related topics (COVID-19, teleneuropsychology) across nine CN journals were coded for binary gender.

Initial submissions to these four CN journals increased during the pandemic (+27.2%), with comparable increases in total number of authors coded as either women (+23.0%) or men (+25.4%). Neither the average percentage of women on manuscript bylines nor the proportion of women who were lead and/or corresponding authors differed significantly across time. Moreover, the representation of women as authors of pandemic-related articles did not differ from expected frequencies in the field.

Findings suggest that representation of women as authors of peer-reviewed manuscript submissions to some CN journals did not change during the initial months of the COVID-19 pandemic. Future studies might examine how risk and protective factors may have influenced individual differences in scientific productivity during the pandemic.

Characterize and compare SARS-CoV-2–specific immune responses in plasma and gingival crevicular fluid (GCF) from nursing home residents during and after natural infection

Prospective cohort

Nursing home

SARS-CoV-2–infected nursing home residents

A convenience sample of 14 SARS-CoV-2–infected nursing home residents, enrolled 4–13 days after real-time reverse transcription polymerase chain reaction diagnosis, were followed for 42 days. Post diagnosis, plasma SARS-CoV-2–specific pan-Immunoglobulin (Ig), IgG, IgA, IgM, and neutralizing antibodies were measured at 5 timepoints and GCF SARS-CoV-2–specific IgG and IgA were measured at 4 timepoints.

All participants demonstrated immune responses to SARS-CoV-2 infection. Among 12 phlebotomized participants, plasma was positive for pan-Ig and IgG in all 12, neutralizing antibodies in 11, IgM in 10, and IgA in 9. Among 14 participants with GCF specimens, GCF was positive for IgG in 13 and IgA in 12. Immunoglobulin responses in plasma and GCF had similar kinetics; median times to peak antibody response was similar across specimen types (4 weeks for IgG; 3 weeks for IgA). Participants with pan-Ig, IgG, and IgA detected in plasma and GCF IgG remained positive through this evaluation’s end 46–55 days post-diagnosis. All participants were viral culture negative by the first detection of antibodies.

Nursing home residents had detectable SARS-CoV-2 antibodies in plasma and GCF after infection. Kinetics of antibodies detected in GCF mirrored those from plasma. Non-invasive GCF may be useful for detecting and monitoring immunologic responses in populations unable or unwilling to be phlebotomized.

Several social determinants of health (SDoH) have been associated with the onset of major depressive disorder (MDD). However, prior studies largely focused on individual SDoH and thus less is known about the relative importance (RI) of SDoH variables, especially in older adults. Given that risk factors for MDD may differ across the lifespan, we aimed to identify the SDoH that was most strongly related to newly diagnosed MDD in a cohort of older adults.

We used self-reported health-related survey data from 41 174 older adults (50–89 years, median age = 67 years) who participated in the Mayo Clinic Biobank, and linked ICD codes for MDD in the participants' electronic health records. Participants with a history of clinically documented or self-reported MDD prior to survey completion were excluded from analysis (N = 10 938, 27%). We used Cox proportional hazards models with a gradient boosting machine approach to quantify the RI of 30 pre-selected SDoH variables on the risk of future MDD diagnosis.

Following biobank enrollment, 2073 older participants were diagnosed with MDD during the follow-up period (median duration = 6.7 years). The most influential SDoH was perceived level of social activity (RI = 0.17). Lower level of social activity was associated with a higher risk of MDD [hazard ratio = 2.27 (95% CI 2.00–2.50) for highest v. lowest level].

Across a range of SDoH variables, perceived level of social activity is most strongly related to MDD in older adults. Monitoring changes in the level of social activity may help identify older adults at an increased risk of MDD.