BACKGROUND: The COVID-19 pandemic prompted the launch of the US Department of Health and Human Services\' COVID-19 Public Education Campaign to boost vaccine confidence and uptake among adults, as vaccines are key to preventing severe illness and death.
OBJECTIVE: Past segmentation research relevant to COVID-19 behavior has found important differences in attitudes, sociodemographics, and subsequent COVID-19 prevention behaviors across population segments. This study extends prior work by incorporating a more comprehensive set of attitudes, behaviors, and sociodemographic variables to identify population segments by differing levels of COVID-19 vaccine confidence and evaluate differences in their subsequent uptake of COVID-19 prevention behaviors.
METHODS: Data were obtained from 5 waves (January 2021 to June 2022) of a web-based longitudinal, probability-based panel survey of US adults (N=4398) administered in English and in Spanish. Participants were recruited from NORC at the University of Chicago\'s national AmeriSpeak panel and were invited to participate across multiple waves. Latent class cluster analysis estimated segments of respondents based on over 40 COVID-19 attitudes, beliefs, behaviors, and sociodemographics as reported in wave 1. Survey-weighted cross-tabulations and bivariate regression analyses assessed differences in COVID-19 vaccine uptake, booster uptake, mask use, and social distancing in all segments across all 5 survey waves.
RESULTS: A total of 6 segments (hardline nonintenders, prevention-compliant nonintenders, burned-out waiters, anxious waiters, skeptical confidents, and ready confidents) were identified, which differed by their COVID-19 vaccine confidence, prevention-related attitudes and behaviors, and sociodemographics. Cross-tabulations and regression results indicated significant segment membership differences in COVID-19 vaccine and booster timing, mask use, and social distancing. Results from survey-weighted cross-tabulations comparing COVID-19 vaccine and booster uptake across segments indicate statistically significant differences in these outcomes across the 6 segments (P<.001). Results were statistically significant for each segment (P<.01 for booster uptake among burned-out waiters; P<.001 for all other coefficients), indicating that, on average, respondents in segments with lower intentions to vaccinate reported later receipt of COVID-19 vaccines and boosters relative to the timing of vaccine and booster uptake among ready confidents.
CONCLUSIONS: Results extend previous research by showing that initial beliefs and behaviors relevant to COVID-19 vaccination, mask use, and social distancing are important for understanding differences in subsequent compliance with recommended COVID-19 prevention measures. Specifically, we found that across respondent segments, the probability of vaccine and booster uptake corresponded with both COVID-19 vaccine confidence and mask use and social distancing compliance; more compliant segments were more likely to get vaccinated or boosted than less compliant segments given similar levels of vaccine confidence. These findings help identify appropriate audiences for campaigns. Results highlight the use of a comprehensive list of attitudes, behaviors, and other individual-level characteristics that can serve as a basis for future segmentation efforts relevant to COVID-19 and other infectious diseases.

Pre-injury anxiety disorder may be a risk factor for poor outcomes following sportsrelated concussion. A systematic review was performed to characterize the relationship between pre-injury anxiety disorder and post-concussion symptom presentation and recovery time after sports-related concussions among children, adolescents, and young adults. A PRISMA-compliant literature search was conducted in Ovid MEDLINE, PsycINFO, EMBASE, and Scopus for articles published up to 25 January 2024. The initial query yielded 1358 unique articles. Articles that analyzed the relationship between pre-injury anxiety disorder and post-concussion symptoms and recovery time were included. A final cohort of 11 articles was extracted, comprising a total of 8390 study participants, of whom 921 had a history of pre-injury anxiety disorder. Pre-injury anxiety disorder was associated with prolonged time to return to sports activity and an increased incidence of physical, emotional, cognitive, and sleep-related symptoms. While the results of this review suggest an association between pre-injury anxiety disorder and post-concussion symptoms and recovery time, future studies should be more stringent regarding standardized anxiety disorder definitions, longitudinal assessment of post-concussion symptoms, anxiety disorder subtypes, and anxiety treatment history.

UNASSIGNED: Utilizing Ruthven\'s (2022) transition model, we explored how identity, voluntariness, and reason for retirement are related to subjective wellbeing throughout an athlete\'s retirement.
UNASSIGNED: 541 participants completed an anonymous, online survey and estimated their wellbeing starting before retirement and up to the present. A set of linear mixed models regressed the seven wellbeing outcomes on the three measures, with education, gender, and time since retirement as covariates.
UNASSIGNED: Identity: Athletic Identity wellbeing was significantly and consistently lower than Diversified Identity. Voluntariness: Surprise retirement was significantly more difficult and contributed to a sharper decline on the day of transition. Reason for retirement: Pursue Something Else and Right Time experienced no significant wellbeing changes, while Injury had a significant decline on their transition day. Motivation Loss experienced significantly lower wellbeing prior to retirement, and a significant, gradual rise on the day of and throughout their transition.
UNASSIGNED: There are wellbeing benefits for a diverse identity, voluntary retirement, and retiring due to pursuing something else, or feeling ready to retire. At risk groups include retiring due to injury, low motivation, and loss of eligibility/graduation. Findings support the benefit of utilizing a theoretical model to explain elite athlete outcomes.

Previous studies on reinforcement learning have identified three prominent phenomena: (1) individuals with anxiety or depression exhibit a reduced learning rate compared to healthy subjects; (2) learning rates may increase or decrease in environments with rapidly changing (i.e. volatile) or stable feedback conditions, a phenomenon termed learning rate adaptation; and (3) reduced learning rate adaptation is associated with several psychiatric disorders. In other words, multiple learning rate parameters are needed to account for behavioral differences across participant populations and volatility contexts in this flexible learning rate (FLR) model. Here, we propose an alternative explanation, suggesting that behavioral variation across participant populations and volatile contexts arises from the use of mixed decision strategies. To test this hypothesis, we constructed a mixture-of-strategies (MOS) model and used it to analyze the behaviors of 54 healthy controls and 32 patients with anxiety and depression in volatile reversal learning tasks. Compared to the FLR model, the MOS model can reproduce the three classic phenomena by using a single set of strategy preference parameters without introducing any learning rate differences. In addition, the MOS model can successfully account for several novel behavioral patterns that cannot be explained by the FLR model. Preferences for different strategies also predict individual variations in symptom severity. These findings underscore the importance of considering mixed strategy use in human learning and decision-making and suggest atypical strategy preference as a potential mechanism for learning deficits in psychiatric disorders.

UNASSIGNED: Metabolic dysfunction-associated steatotic liver disease (MASLD) has become the most common chronic liver disease worldwide and is increasingly being diagnosed at younger ages, affecting more than one-third of young people with obesity.
UNASSIGNED: To evaluate associations between perinatal conditions and risk of MASLD and associated progressive liver disease.
UNASSIGNED: This nationwide, population-based case-control study included all biopsy-confirmed cases of MASLD in Sweden. Individuals aged 25 years or younger (hereafter, young individuals) with biopsy-proven MASLD between January 1, 1992, and December 31, 2016, were matched to up to 5 general population control individuals. Granular data on maternal and perinatal characteristics were retrieved from the Swedish Medical Birth Register. Data were analyzed from June 2023 to June 2024.
UNASSIGNED: Birth weight (low [<2500 g], reference [2500 to <4000 g], or high [≥4000 g]), gestational age (GA), and birth weight for GA (small for GA [SGA; <10th percentile], appropriate for GA [10th-90th percentile], or large for GA [LGA; >90th percentile]), compared between patients and matched controls.
UNASSIGNED: The main outcome was odds of biopsy-proven MASLD and MASLD-associated progressive liver disease (ie, liver fibrosis or cirrhosis) according to birth weight, GA, and birth weight for GA, adjusted for matching factors.
UNASSIGNED: In total, 165 young individuals with biopsy-proven MASLD (median age at diagnosis: 12.0 years [IQR, 4.4-16.9 years]; 100 [60.6%] male) were matched with 717 controls. There was an association between low birth weight and future development of MASLD (adjusted odds ratio [AOR], 4.05; 95% CI, 1.85-8.88) but no association between high birth weight and odds of MASLD (AOR, 0.64; 95% CI, 0.38-1.08) compared with the reference birth weight. An association was seen for SGA (AOR, 3.36; 95% CI, 2.00-5.64) compared with appropriate size for GA (reference category) but not for LGA (AOR, 0.57; 95% CI, 0.27-1.20). Progressive liver disease was more common in individuals born with low birth weight (AOR, 6.03; 95% CI, 1.66-21.87) or SGA (AOR, 4.90; 95% CI, 2.15-11.14).
UNASSIGNED: In this nationwide study of young individuals with biopsy-proven MASLD, low birth weight and SGA were associated with development of MASLD and progressive liver disease, suggesting a need for structured screening measures to diagnose these conditions early in high-risk individuals.

Classic change blindness is the phenomenon where seemingly obvious changes that coincide with visual disruptions (such as blinks or brief blanks) go unnoticed by an attentive observer. Some early work into the causes of classic change blindness suggested that any pre-change stimulus representation is overwritten by a representation of the altered post-change stimulus, preventing change detection. However, recent work revealed that, even when observers do maintain memory representations of both the pre- and post-change stimulus states, they can still miss the change, suggesting that change blindness can also arise from a failure to compare the stored representations. Here, we studied slow change blindness, a related phenomenon that occurs even in the absence of visual disruptions when the change occurs sufficiently slowly, to determine whether it could be explained by conclusions from classic change blindness. Across three different slow change blindness experiments we found that observers who consistently failed to notice the change had access to at least two memory representations of the changing display. One representation was precise but short lived: a detailed representation of the more recent stimulus states, but fragile. The other representation lasted longer but was fairly general: stable but too coarse to differentiate the various stages of the change. These findings suggest that, although multiple representations are formed, the failure to compare hypotheses might not explain slow change blindness; even if a comparison were made, the representations would be too sparse (longer term stores) or too fragile (short-lived stores) for such comparison to inform about the change.

Borderline personality disorder is a common, treatable condition that usually presents in late adolescence or early adulthood. Patients with borderline personality disorder are disproportionately represented in many clinical settings. Early identification and intervention of borderline personality disorder could help address the current mental health affecting young adults. College and university mental health settings have an opportunity to identify borderline personality disorder and to help guide students and families to appropriate treatment. College-based clinicians also have a role in educating campus administrators who may have little or no familiarity with standard borderline personality disorder symptoms or the trajectory of the disorder.

BACKGROUND: We aimed to determine the capabilities of compressed sensing (CS) and deep learning reconstruction (DLR) with those of conventional parallel imaging (PI) for improving image quality while reducing examination time on female pelvic 1.5-T magnetic resonance imaging (MRI).
METHODS: Fifty-two consecutive female patients with various pelvic diseases underwent MRI with T1- and T2-weighted sequences using CS and PI. All CS data was reconstructed with and without DLR. Signal-to-noise ratio (SNR) of muscle and contrast-to-noise ratio (CNR) between fat tissue and iliac muscle on T1-weighted images (T1WI) and between myometrium and straight muscle on T2-weighted images (T2WI) were determined through region-of-interest measurements. Overall image quality (OIQ) and diagnostic confidence level (DCL) were evaluated on 5-point scales. SNRs and CNRs were compared using Tukey\'s test, and qualitative indexes using the Wilcoxon signed-rank test.
RESULTS: SNRs of T1WI and T2WI obtained using CS with DLR were higher than those using CS without DLR or conventional PI (p < 0.010). CNRs of T1WI and T2WI obtained using CS with DLR were higher than those using CS without DLR or conventional PI (p < 0.003). OIQ of T1WI and T2WI obtained using CS with DLR were higher than that using CS without DLR or conventional PI (p < 0.001). DCL of T2WI obtained using CS with DLR was higher than that using conventional PI or CS without DLR (p < 0.001).
CONCLUSIONS: CS with DLR provided better image quality and shorter examination time than those obtainable with PI for female pelvic 1.5-T MRI.
CONCLUSIONS: CS with DLR can be considered effective for attaining better image quality and shorter examination time for female pelvic MRI at 1.5 T compared with those obtainable with PI.
CONCLUSIONS: Patients underwent MRI with T1- and T2-weighted sequences using CS and PI. All CS data was reconstructed with and without DLR. CS with DLR allowed for examination times significantly shorter than those of PI and provided significantly higher signal- and CNRs, as well as OIQ.

Cutaneous leishmaniasis (CL) stands out as a significant vector-borne endemic in Pakistan. Despite the rising incidence of CL, the genetic diversity of Leishmania species in the country\'s endemic regions remains insufficiently explored. This study aims to uncover the genetic diversity and molecular characteristics of Leishmania species in CL-endemic areas of Baluchistan, Khyber Pakhtunkhwa (KPK), and Punjab in Pakistan. Clinical samples from 300 CL patients were put to microscopic examination, real-time ITS-1 PCR, and sequencing. Predominantly affecting males between 16 to 30 years of age, with lesions primarily on hands and faces, the majority presented with nodular and plaque types. Microscopic analysis revealed a positivity rate of 67.8%, while real-time PCR identified 60.98% positive cases, mainly L. tropica, followed by L. infantum and L. major. Leishmania major (p = 0.009) showed substantially greater variation in nucleotide sequences than L. tropica (p = 0.07) and L. infantum (p = 0.03). Nucleotide diversity analysis indicated higher diversity in L. major and L. infantum compared to L. tropica. This study enhances our understanding of CL epidemiology in Pakistan, stressing the crucial role of molecular techniques in accurate species identification. The foundational data provided here emphasizes the necessity for future research to investigate deeper into genetic diversity and its implications for CL control at both individual and community levels.

BACKGROUND: Polycystic ovary syndrome (PCOS) is a common chronic endocrine disorder in women with complex and poorly understood etiologies. The present study aimed to describe the clinical features of PCOS in a sample of Syrian women as well as the risk factors, associated comorbid diseases, and patterns and efficacy of treatment.
METHODS: The present study is cross-sectional observational study conducted on a sample of Syrian women diagnosed with PCOS, using self-administered questionnaire during the period between December 25, 2023 and January 18, 2024. Overall, 1666 women with PCOS were recruited through online platforms.
RESULTS: Higher frequency of PCOS was observed in young women aged 15-25 years (63.1%) and in single ladies (76.5%). The main chief complaints experienced by patients with PCOS were hirsutism (71.25%), irregular menstrual cycle (70.95%), depressed mood (53.9%), acne (49.52%), abdominal obesity (43.88%), alopecia (38.12%), and weight gain (34.57%). The most common risk factors observed in patients with PCOS were lack of physical exercise (76.4%), unhealthy food habits (51.6%), family history (38.5%), and history of taking anabolic steroids (17.2%). Comorbid diseases were found in 11.5% of PCOS patients. These diseases were hypothyroidism (5.7%), hypertension (3.06%), dyslipidemia (1.68%), heart diseases (1.56%), and diabetes mellitus (0.78%). Most patients were treated with oral contraceptive pills (82.11%) or metformin (64.83%). The efficacy of treatment was observed as complete cure in 430 patients (25.8%) and partial response alleviating symptoms in 819 patients (49.2%), while and no benefit was found in 417 patients (25%).
CONCLUSIONS: PCOS is associated with widespread dermatological and metabolic aberrations that pose psychological burden on women and increase their risk for having comorbid diseases. Most patients with PCOS do not receive adequate therapy. Understanding the risk factors and clinical features for each patient is essential to choose the proper treatment.