Rapid vertebrate speciation via isolation, bottlenecks, and drift.

Speciation is often driven by selective processes like those associated with viability, mate choice, or local adaptation, and "speciation genes" have been identified in many eukaryotic lineages. In contrast, neutral processes are rarely considered as the primary drivers of speciation, especially over short evolutionary timeframes. Here, we describe a rapid vertebrate speciation event driven primarily by genetic drift. The White Sands pupfish (Cyprinodon tularosa) is endemic to New Mexico's Tularosa Basin where the species is currently managed as two Evolutionarily significant units (ESUs) and is of international conservation concern (Endangered). Whole-genome resequencing data from each ESU showed remarkably high and uniform levels of differentiation across the entire genome (global FST ≈ 0.40). Despite inhabiting ecologically dissimilar springs and streams, our whole-genome analysis revealed no discrete islands of divergence indicative of strong selection, even when we focused on an array of candidate genes. Demographic modeling of the joint allele frequency spectrum indicates the two ESUs split only ~4 to 5 kya and that both ESUs have undergone major bottlenecks within the last 2.5 millennia. Our results indicate the genome-wide disparities between the two ESUs are not driven by divergent selection but by neutral drift due to small population sizes, geographic isolation, and repeated bottlenecks. While rapid speciation is often driven by natural or sexual selection, here we show that isolation and drift have led to speciation within a few thousand generations. We discuss these evolutionary insights in light of the conservation management challenges they pose.

Longevity, demographic characteristics, and socio-economic status are linked to triiodothyronine levels in the general population.

The hypothalamic-pituitary-thyroid (HPT) axis is fundamental to human biology, exerting central control over energy expenditure and body temperature. However, the consequences of normal physiologic HPT-axis variation in populations without diagnosed thyroid disease are poorly understood. Using nationally representative data from the 2007 to 2012 National Health and Nutrition Examination Survey, we explore relationships with demographic characteristics, longevity, and socio-economic factors. We find much larger variation across age in free T3 than other HPT-axis hormones. T3 and T4 have opposite relationships to mortality: free T3 is inversely related and free T4 is positively related to the likelihood of death. Free T3 and household income are negatively related, particularly at lower incomes. Finally, free T3 among older adults is associated with labor both in terms of unemployment and hours worked. Physiologic TSH/T4 explain only 1.7% of T3 variation, and neither are appreciably correlated to socio-economic outcomes. Taken together, our data suggest an unappreciated complexity of the HPT-axis signaling cascade broadly such that TSH and T4 may not be accurate surrogates of free T3. Furthermore, we find that subclinical variation in the HPT-axis effector hormone T3 is an important and overlooked factor linking socio-economic forces, human biology, and aging.

Multiple sclerosis in Denmark (1950-2023): mean age, sex distribution, incidence and prevalence.

With rising life expectancy and advancements in disease management, we expect the multiple sclerosis population is getting older. However, evidence supporting this hypothesis remains sparse. Our study aimed to determine whether the mean age of the Danish multiple sclerosis population has increased and to analyse the developments in sex distribution, incidence, and prevalence, all of which affect age composition. We conducted a cohort study by linking nationwide data from the Danish Multiple Sclerosis Registry to the Population Statistics Registry, the Danish Cause of Death Registry, and the Historical Migration Registry. We included all living patients with a confirmed multiple sclerosis diagnosis who lived in Denmark on the 1st of January each year from 1950 to 2023. We calculated the mean and median age, age distribution, sex distribution, incidence, and prevalence of the Danish MS population annually from 1950 to 2023. We included 28,145 individuals with multiple sclerosis. The mean age of the Danish multiple sclerosis population increased until the late 1970s to around 52.5 years, where it stabilised until 1990. The mean age experienced a slight decline to 51.2 years in 2005, followed by a subsequent rise to its peak of 54.2 years in 2023. In 1975, females comprised 58.7% of the multiple sclerosis population, increasing to 65.7% by 2000 and 68.5% in 2023. The incidence of multiple sclerosis remained stable at around 3.5 per 100,000 until 1975 and steadily increased by more than 2.5 times in 2000 to 11.4 per 100,000. Despite fluctuations, it remained relatively stable from 2000 until 2022, showing a slight decrease in 2022 compared to the previous two decades. Both overall and sex-specific prevalence exhibited an upward trend, particularly among females. Our study demonstrates that the mean age of the Danish multiple sclerosis population has increased, although not as decisively as expected. The female proportion has grown in tandem with prevalence, while incidence appears to have stabilised in recent decades after years of increase. Denmark's robust registry data and universal healthcare system offer a unique opportunity for reliable epidemiological analysis. Our results establish a benchmark for future demographic studies in the field of multiple sclerosis.

Impact of brain parcellation on prediction performance in models of cognition and demographics.

Brain connectivity analysis begins with the selection of a parcellation scheme that will define brain regions as nodes of a network whose connections will be studied. Brain connectivity has already been used in predictive modelling of cognition, but it remains unclear if the resolution of the parcellation used can systematically impact the predictive model performance. In this work, structural, functional and combined connectivity were each defined with five different parcellation schemes. The resolution and modality of the parcellation schemes were varied. Each connectivity defined with each parcellation was used to predict individual differences in age, education, sex, executive function, self-regulation, language, encoding and sequence processing. It was found that low-resolution functional parcellation consistently performed above chance at producing generalisable models of both demographics and cognition. However, no single parcellation scheme showed a superior predictive performance across all cognitive domains and demographics. In addition, although parcellation schemes impacted the graph theory measures of each connectivity type (structural, functional and combined), these differences did not account for the out-of-sample predictive performance of the models. Taken together, these findings demonstrate that while high-resolution parcellations may be beneficial for modelling specific individual differences, partial voluming of signals produced by the higher resolution of the parcellation likely disrupts model generalisability.

Investigating the role of county-level colorectal cancer screening rates on stage at diagnosis of colorectal cancer in rural Georgia.

BACKGROUND: To examine the impact of county-level colorectal cancer (CRC) screening rates on stage at diagnosis of CRC and identify factors associated with stage at diagnosis across different levels of screening rates in rural Georgia. METHODS: We performed a retrospective analysis utilizing data from 2004 to 2010 Surveillance, Epidemiology, and End Results Program. The 2013 United States Department of Agriculture rural-urban continuum codes were used to identify rural Georgia counties. The 2004-2010 National Cancer Institute small area estimates for screening behaviors were applied to link county-level CRC screening rates. Descriptive statistics and multinominal logistic regressions were performed. RESULTS: Among 4,839 CRC patients, most patients diagnosed with localized CRC lived in low screening areas; however, many diagnosed with regionalized and distant CRC lived in high screening areas (p-value = 0.009). In multivariable analysis, rural patients living in high screening areas were 1.2-fold more likely to be diagnosed at a regionalized and distant stage of CRC (both p-value < 0.05). When examining the factors associated with stage at presentation, Black patients who lived in low screening areas were 36% more likely to be diagnosed with distant diseases compared to White patients (95% CI, 1.08-1.71). Among those living in high screening areas, patients with right-sided CRC were 38% more likely to have regionalized disease (95% CI, 1.09-1.74). CONCLUSION: Patients living in high screening areas were more likely to have a later stage of CRC in rural Georgia. IMPACT: Allocating CRC screening/treatment resources and improving CRC risk awareness should be prioritized for rural patients in Georgia.

Demographics, Practice Analysis, and Geographic Distribution of Neuro-Ophthalmologists in the United States in 2023.

PURPOSE: To assess the demographic characteristics and geographic distribution of neuro-ophthalmologists practicing in the United States. DESIGN: A cross-sectional study. PARTICIPANTS: Neuro-ophthalmologists across the United States. METHODS: In this cross-sectional study, public databases from the American Academy of Ophthalmology, North American Neuro-ophthalmology Society, American Neurological Association, and American Academy of Neurology were used to identify neuro-ophthalmologists in the United States as of April 2023. Providers' office locations were geocoded using ArcGIS pro, version 2.9 (Esri). Data on age, sex, and residency and fellowship training were collected. Analysis was performed using SPSS 28.0 (IBM Corp.). MAIN OUTCOME MEASURES: Neuro-ophthalmologists' demographics, and information about their medical education, postgraduate education, residency training, fellowship training, years in practice, practice environment, and geographic distribution of neuro-ophthalmologists across the United States. RESULTS: A total of 635 neuro-ophthalmologists (436 male, 68.7%) were identified. The majority (599, 94.3%) graduated from an allopathic medical school. Most of the 85 physicians who held a secondary graduate degree had a PhD (54, 63.5%). Although approximately three-quarters (429, 67.6%) completed their residency in ophthalmology, 159 (25%) had residency positions in neurology and 47 (7.4%) had residency positions in both. Approximately one-third (191, 30.0%) were trained in more than 1 fellowship, including oculoplastics (78, 12.3%) or pediatric ophthalmology (53, 8.3%). The average post-fellowship years of experience was 23.7±13.7 years, with 134 (21.1%) in their early career (< 10 years), 120 (18.9%) in their mid-careers (10-19 years), and 381 (60.0%) in their late careers (> 20 years). Male neuro-ophthalmologists had 10.5±1.1 more years of experience than female neuro-ophthalmologists (P < 0.001). Three states (Maine, South Dakota, Wyoming) and 2897 counties (93.2%) had no neuro-ophthalmologists. Counties without a neuro-ophthalmologist had lower median income (P < 0.001), lower access to a vehicle (P = 0.024), and lower rates of health insurance (P = 0.012). CONCLUSIONS: Practicing neuro-ophthalmologists are mostly male and often are trained in more than 1 subspecialty. More than half of the practicing neuro-ophthalmologists are in their late careers, which may further exacerbate the existing geographic and socioeconomic disparities in access to neuro-ophthalmology. FINANCIAL DISCLOSURE(S): The author(s) have no proprietary or commercial interest in any materials discussed in this article.

Geographic Access to Eye Care in the United States.

Using service area analysis, we demonstrate nearly all Americans live within an accessible distance (i.e., 60 minutes) of an ophthalmologist and optometrist; we also characterize the geographic areas that remain without facile access to care.

Hematopoietic cell transplantation and cellular therapies in Switzerland. Evolution over 25 years. A report from the stem cell transplantation and cellular therapies working groups of the SBST 1997-2021.

The Swiss Blood Stem Cell Transplantation and Cellular Therapy Group (SBST) leads a mandatory national registry for all hematopoietic stem cell transplants (HCT) and cellular therapies. After 25 years, information was available for 11,226 patients receiving an HCT (4031 allogeneic and 7195 autologous), including 925 pediatric patients. We compared patient characteristics and outcome by quinquennia 1997-2001, 2002-2006, 2007-2011, 2012-2016, and 2017-2021. There were numerous changes over time. Allogeneic transplant recipients became older (median age 33.7 vs. 54.3) and had more frequently unrelated donors and reduced intensity conditioning in later quinquennia. Similarly, age increased for recipients of autologous HCT (median 48.3 vs. 59.9). We did not see a significant drop in transplant activity during the SARS-CoV-2 pandemic. Analysis of outcome showed overall survival (relative risk (RR) of death 0.664 (0.529-0.832) and progression free survival (RR 0.708 (0.577-0.870) being improved over time comparing the latest to the first quinquennium adjusting for risk factors. Non-relapse mortality decreased in recipients of allogeneic HCT (RR: 0.371 (0.270-0.509)) over time but relapse risks did not. Outcome of autologous HCT improved as well across quinquennia, this improvement was mainly due to decreased relapse risks (RR 0.681 (0.597-0.777)), possibly related to maintenance treatment or rescue treatment for relapse mainly in myeloma patients. Cellular therapies other than allogeneic or autologous HCT, particularly chimeric antigen receptor T-cells (CAR-T) treatment have started to increase after 2019, year of approval of the first commercial CAR-T product in Switzerland. Data on chimeric antigen receptor T-cell treatment are too early for comparative analyses. Detailed analyses of changes over time are presented. This study includes all HCTs, and cellular therapies, data useful for quality assurance programs, health care cost estimation and benchmarking. Between 50% and 60% of patients are long-term survivors after both types of HCT, indicating growing populations of surviving patients requiring long-term care.

Editorial: Placing research in context - what participant and study characteristics should be routinely reported in studies of child and adolescent mental health?

This editorial argues that research findings in child and adolescent psychopathology need to be contextualized with demographic information and location in order to help with interpretation of findings and implications for the services that are available and/or potentially effective. For developmental psychopathology and child and adolescent mental health treatment, the demographic information should include key factors known to influence etiology, treatment effectiveness and service availability. These factors include, but may not be limited to, sex and age, location including country (and city or urban area), socioeconomic class, culture and minoritized status. Including such information, in addition to helping us understand why findings might not generalize, can draw attention to the exclusion of certain groups from research and so drive attempts to increase the representativeness of research in child and adolescent mental health.

Patient socio-demographics and clinical factors associated with malaria mortality: a case control study in the northern region of Ghana.

BACKGROUND: Ghana is a malaria-endemic country with the entire population at risk. The Northern region of the country recorded the highest malaria case fatality rate (CFR) for two consecutive years: 1.11% in 2013 and 1.07% in 2014. Even though the National Malaria Elimination Programme (NMEP) has achieved a reduction in malaria mortality, the existence of high case fatality in the Northern region was alarming. This study, therefore, aimed to determine the factors associated with malaria mortality in the northern region of Ghana to institute control measures. METHODS: An unmatched case control study was conducted from July 2015 to August 2015. The study population consisted of patients admitted to health facilities for severe malaria in the Northern region of Ghana. A case was defined as a patient diagnosed with severe malaria at an eligible health facility who died as a result of malaria. A control was a patient diagnosed with severe malaria admitted to an eligible health facility who did not die. Health facilities that recorded CFRs of 1.0% and above were randomly sampled for this study, after which, 10 cases and 20 controls were recruited from each health facility. Information on cases and controls was then abstracted from hospital records using an electronically deployed abstraction tool. Continuous variables were expressed as means and medians, and categorical variables as frequencies and proportions. Multivariable logistic regression was used to assess the strength of the association between malaria mortality and factors predictive of malaria mortality. A p-value of < 0.05 was considered statistically significant. RESULTS: In all, a total of 95 cases and 190 controls participated in this study. The median ages of cases and controls were 4.1 years (IQR = 21.6) and 5.7 years (IQR = 18.2), respectively. Fifty-four (56.8%) cases were females, while 93 (49.0%) of the controls were females. Factors associated with malaria mortality included: duration of hospital stay less than 24 h [aOR: 12.0, 95% CI (5.9-24.6)], severe pallor [aOR: 2.3, 95% CI (1.1-4.6)], children under 5 years [aOR: 2.8, 95% CI (1.4-5.6)], oral Artesunate/Amodiaquine administration [aOR: 0.4, 95% CI (0.2-0.9)] and sepsis as an additional diagnosis [aOR: 4.1, 95% CI (1.8-9.5)]. CONCLUSION: Predictors of malaria mortality in the Northern region include children under 5 years, severe pallor, sepsis as an additional diagnosis, and use of oral anti-malarial. Patients with severe pallor and sepsis as co-morbidities should receive proactive management. The NMEP and its partners should implement measures to strengthen the referral system, anaemia prevention and management, and retrain health workers on malaria case management. Malaria control interventions targeted at under five children in the region should be reviewed and enhanced.

Using Wearable Devices to Profile Demographic-Specific Recovery After Pediatric Appendectomy.

INTRODUCTION: Counseling patients and parents about the postoperative recovery expectations for physical activity after pediatric appendectomy varies significantly and is not specific to patients' demographic characteristics. Consumer wearable devices (CWD) can be used to objectively assess patients' normative postoperative recovery of physical activity. This study aimed to develop demographic-specific normative physical activity recovery trajectories using CWD in pediatric patients undergoing appendectomy. METHODS: Children ages 3-18 y old undergoing laparoscopic appendectomy for acute appendicitis were recruited. Patients wore a Fitbit device for 21 d postoperatively and daily step counts were measured. Patients with postoperative complications were excluded. Segmented regression models were fitted and time-to-plateau was estimated for patients with simple and complicated appendicitis separately for each age group, sex, race/ethnicity, and body mass index category. RESULTS: Among 147 eligible patients; 76 (51.7%) were female, 86 (58.5%) were in the younger group, and 79 (53.7%) had complicated appendicitis. Patients 3-11 y old demonstrated a faster trajectory to a physical activity plateau compared to those 12-18 in both simple (postoperative day [POD] 9 versus POD 17) and complicated appendicitis (POD 17 versus POD 21). Males and females had a similar postoperative recovery trajectory in simple and complicated appendicitis. There was no clear pattern differentiating trajectories based on race/ethnicity. Overweight/obese patients demonstrated a slower recovery trajectory in simple appendicitis. CONCLUSIONS: This study demonstrates that factors other than the disease itself, such as age, may affect recovery, suggesting the need for more tailored discharge instructions. CWDs can improve our understanding of recovery and allow for better data-driven counseling perioperatively.

Demographic Traits, Clinical Status, and Comorbidities of Patients With Thromboangiitis Obliterans in Japan.

BACKGROUND: The latest demographics, clinical and living conditions, and comorbidities of patients with thromboangiitis obliterans (TAO) in Japan are unknown.Methods and Results: We conducted a retrospective cross-sectional survey using the annual database of the Japanese Ministry of Health, Labour and Welfare medical support system for patients with TAO between April 2013 and March 2014. This study included 3,220 patients (87.6% male), with current age ≥60 years in 2,155 patients (66.9%), including 306 (9.5%) patients aged ≥80 years. Overall, 546 (17.0%) had undergone extremity amputation. The median interval from onset to amputation was 3 years. Compared with never smokers (n=400), 2,715 patients with a smoking history had a higher amputation rate (17.7% vs. 13.0%, P=0.02, odds ratio [OR]=1.437, 95% confidence interval [CI]=1.058-1.953). A lower proportion of workers and students was seen among patients after amputation than among amputation-free patients (37.9% vs. 53.0%, P<0.0001, OR=0.542, 95% CI=0.449-0.654). Comorbidities, including arteriosclerosis-related diseases, were found even in patients in their 20-30 s. CONCLUSIONS: This large survey confirmed that TAO is not a life-threatening but an extremity-threatening disease that threatens patients' professional lives. Smoking history worsens patients' condition and extremity prognosis. Long-term total health support is required, including care of extremities and arteriosclerosis-related diseases, social life support, and smoking cessation.

Greater attention to socioeconomic status in developmental research can improve the external validity, generalizability, and replicability of developmental science.

Psychological researchers have been criticized for making broad presumptions about human behavior based on limited sampling. In part, presumptive generalizability is reflected in the limited representation of sociodemographic variation in research reports. In this analysis, we examine time-trends in reporting of a key sociodemographic construct relevant to many aspects of child development-socioeconomic status (SES)-across six mainstream developmental journals (Infancy, Child Development, Developmental Science, Developmental Psychology, Infant and Child Development, and Infant Behavior & Development) between 2016 and 2022. Findings point to limited reporting of SES across developmental journals and across time. Reporting rates varied significantly by region and by topic of development. In terms of specific indicators of SES, there was consistent use of income and caregiver education as SES indicators. The epistemic costs of the lack of integration of socio-economic factors in developmental research are addressed. Pathways to greater integration of SES are proposed. RESEARCH HIGHLIGHTS: We analyzed reporting and representation of socioeconomic status in published studies on early child development. A large proportion of published studies did not report any socio-economic information. Suggestions for greater attention to socioeconomic status are proposed.

An investigation into how accurately UK rabbit owners identify pain in their pet rabbits.

BACKGROUND: Rabbits are popular family pets. They are prey species and so have evolved to hide signs of illness and pain. Recent research has developed robust pain scales for use in a clinical setting, but to date none has examined rabbit owners' ability to recognise pain in their animals. This study investigated how owners identify pain in their pet rabbits and their ability to correctly identify different levels of pain, in order to determine any need for owner education in this area. METHODS: Owners were recruited via Facebook and a two-part online survey was distributed. Part one collected data on demographics, owners' knowledge of pain signs and beliefs about pain in rabbits. Part two asked respondents to pain score eight videos of rabbits in different levels of pain for comparison to pain scores made by three experts. We used a simplified version of the Bristol Rabbit Pain Score (BRPS) which involved a single 0 to 3 scale. We explored the number of pain signs each respondent could list, the total score given to the videos, and their deviation from the experts' scores. RESULTS: A total of 500 respondents completed part one of the survey and 345 additionally completed Part two. Respondents were on average able to state five signs of pain (range 0-12), but females stated significantly more (p = 0.018), as did those who worked with rabbits (p = 0.004) and those with experience of their rabbit having an operation (p = 0.01). Overall, 98.6% of respondents thought rabbits felt pain as much or more that dogs and cats. In Part two, respondents more frequently agreed with the experts when identifying rabbits in no pain (88.8%) and severe pain (65.2%), but there was lower agreement when identifying mild (28.4%) and moderate pain (43.2%). Respondents overall rated pain lower than experts with an average total pain score of 11.9 compared to 18 given by the experts. CONCLUSIONS: Most rabbit owners are able to list numerous pain signs and are generally able to identify pain-free rabbits and those in severe pain. Owners' ability to differentiate between mild and moderate pain is more limited and could benefit from training in the subtler signs of pain. Veterinary professionals are well placed to educate owners about signs of pain in rabbits and should be aware of areas where owners' knowledge can be improved.

Global Cognition, Gender, and Level of Education Predict Dual-Task Gait Speed Variability Metrics in Older Adults.

INTRODUCTION: The purpose of this study was to determine if demographic variables and measures of cognitive function, functional mobility, self-reported balance self-efficacy, and self-reported physical activity can predict gait speed variability during single-task walking (STGSCV), during cognitive-motor dual-tasking (DTGSCV), and dual-task effect on gait speed variability (DTEGSCV) in older adults. METHODS: In 62 older adults, demographics were recorded and cognitive function (including the Montreal Cognitive Assessment, MoCA), functional mobility, balance self-efficacy (Activities-specific Balance Confidence Scale, ABC), and self-reported physical activity (Physical Activity Scale for the Elderly, PASE) were assessed. Three linear regression models were used to determine whether the functional mobility tests, PASE score, ABC score, and tests of cognitive function predicted gait speed variability outcomes (STGSCV, DTGSCV, DTEGSCV), with demographics included as covariates. RESULTS: MoCA score (p = 0.003), gender (p = 0.040), and years of education (p = 0.010) significantly predicted DTGSCV (R2 = 0.297, p = 0.002). MoCA score (p = 0.008) and years of education (p < 0.001) also significantly predicted DTEGSCV. Despite a significant regression model (R2 = 0.316, p = 0.001), there were no significant individual predictors of STGSCV. CONCLUSION: Older adults with lower cognitive function scores, according to the MoCA, and higher levels of education demonstrate larger gait speed variability during dual-tasking and may be at increased risk of real-world mobility issues or falling.

A Comparison of Demographics Across the Burn, Spinal Cord Injury, and Traumatic Brain Injury Model Systems.

OBJECTIVE: This study aims to analyze the demographic profiles of participants in the traumatic brain injury (TBI), burn injury (BI), and spinal cord injury (SCI) Model Systems Databases. DESIGN: Data from the Burn Model System (BMS) National Database, TBI Model Systems (TBIMS) National Database, and SCI Model System (SCIMS) Database was analyzed from 1994 to 2020. SETTING: Not applicable PARTICIPANTS: The study included 16 years and older participants with available data in selected variables, totaling 4,807 BI, 19,127 TBI, and 18,473 SCI participants. INTERVENTIONS: Not applicable MAIN OUTCOME MEASURES: Variables including age, race, ethnicity, sex, education level, primary payor source, family income level, employment status at one-year post-injury, etiology, and mortality at one-year post-injury were analyzed across the database. RESULTS: Median ages at injury for BMS (40.4), TBIMS (40), and SCIMS (38) Database participants were comparable. Males constituted about 75% of participants in BMS, TBIMS, and SCIMS datasets, with approximately 75% having a high school education or lower. The proportion of participants funded by Medicare during initial hospital care varied across the BMS (14%), TBIMS (15.6%), and SCIMS (10.2%). For family income (data available for BMS and SCIMS), roughly 30% of these participants reported a family income below $25,000. Etiology data indicated 49.0% of TBI and 40.7% of SCI cases resulted from vehicular incidents. CONCLUSIONS: An overlapping at-risk population for these injuries appears to be middle-aged males with lower education levels and family incomes, who have access to vehicles. This underscores the need for preventive initiatives tailored to this identified population to mitigate the risk of these injuries.

Prevalence of self-reported hearing difficulty on the Revised Hearing Handicap Inventory and associated factors.

BACKGROUND: Hearing loss is common in aging adults and is an important public health concern. Self-reported measures of hearing difficulty are often used in research and clinical practice, as they capture the functional impacts of hearing loss on individuals. However, little research has evaluated the prevalence or factors associated with self-reported hearing difficulty. Therefore, the purpose of this study was to determine the prevalence of self-reported hearing difficulty, measured by the Revised Hearing Handicap Inventory (RHHI), and associated factors. METHODS: This study was conducted in a community-based cohort study based in Charleston, SC. We determined the prevalence of RHHI self-reported hearing difficulty (score ≥ 6 points) and evaluated associated factors with logistic regression models. Results are presented as odds ratios (OR) with corresponding 95% confidence intervals (95% CI). RESULTS: There were 1558 participants included in this study (mean age 63.7 [SD 14.4], 56.9% female, 20.0% Minority race). The prevalence of RHHI self-reported hearing difficulty was 48.8%. In a multivariable model, older age (per + 1 year; OR 0.97 [95% CI 0.96, 0.98]), Minority (vs. White) race (OR 0.68 [95% CI 0.49, 0.94]), and speech-in-noise scores that are better than predicted (OR 0.99 [95% CI 0.98, 1.00]) were associated with lower odds of RHHI self-reported hearing difficulty. Furthermore, female (vs. male) sex (OR 1.39 [95% CI 1.03, 1.86]), higher PTA in the worse ear (per + 1 dB; OR 1.10 [95% CI 1.09, 1.12]), more comorbid conditions (vs. 0; 1 condition: OR 1.50 [95% CI 1.07, 2.11]; 2 conditions: OR 1.96 [95% CI 1.32, 2.93]; 3 + conditions: OR 3.00 [95% CI 1.60, 5.62]), noise exposure (OR 1.54 [95% CI 1.16, 2.03]), bothersome tinnitus (OR 2.16 [95% CI 1.59, 2.93]), and more depressive symptoms (OR 1.04 [95% CI 1.01, 1.07]) were associated with higher odds of RHHI self-reported hearing difficulty. CONCLUSIONS: The prevalence of RHHI self-reported hearing difficulty is high, and associated factors included demographics, audiometric hearing and other hearing-related factors, and physical and mental health. The RHHI likely captures functional impacts of hearing loss that are not captured by audiometry alone. Study findings can support the correct interpretation of the RHHI in research and clinical settings.

Demographic changes in COVID-19 mortality during the pandemic: analysis of trends in disparities among workers using California's mortality surveillance system.

BACKGROUND: There is limited information on the extent and patterns of disparities in COVID-19 mortality throughout the pandemic. We aimed to examine trends in disparities by demographics over variants in the pre- and post-vaccine availability period among Californian workers using a social determinants of health lens. METHODS: Using death certificates, we identified all COVID-19 deaths that occurred between January 2020 and May 2022 among workers aged 18-64 years in California (CA). We derived estimates for at-risk worker populations using the Current Population Survey. The waves of COVID-19 mortality in the pre-vaccine availability period were March 2020-June 2020 (wave 1), and July 2020-November 2020 (wave 2), and in the post-vaccine availability period: December 2020-May 2021 (wave 3), June 2021-January 2022 (wave 4), and February 2022-May 2022 (wave 5). Poisson regression models with robust standard errors were used to determine wave-specific mortality rate ratios (MRRs). We examined the change in MRR across waves by including an interaction term between each demographic characteristic and wave period in different models. The role of potential misclassification of Race/ethnicity on death certificates was examined using probabilistic quantitative bias analysis as sensitivity analysis. RESULTS: Among the 24.1 million working age CA population included in the study, there were 26,068 COVID-19 deaths in the period between January 2020 and May 2022. Compared with their respective reference groups, workers who were 50-64 years old, male, Native Hawaiian, Latino, or African American, foreign-born; individuals who had lower education; and unmarried were disproportionately affected by COVID-19 mortality. While disparities by sex, race/ethnicity and foreign-born status narrowed in later waves (post-vaccine availability), disparities by age, education level and marital status did not change substantially across waves. CONCLUSION: Demographic disparities in COVID-19 mortality narrowed in the post-vaccine availability waves. However, the existence of disparities across all waves of the pandemic, even in an era of widespread vaccine coverage, could indicate remaining gaps in prevention and differential vulnerability. Addressing the underlying social, structural, and occupational factors that contribute to these disparities is critical for achieving health equity.

Demographic Correlates of Endometriosis Diagnosis Among United States Women Aged 15-50.

OBJECTIVE: To compare demographic characteristics of women with and without a diagnosis of endometriosis. DESIGN: Data were collected from the National Survey of Family Growth-a publicly available survey designed and administered by the Centers for Disease Control, which uses a nationally-representative sample of the United States population. Univariate data were reported as survey-weighted percentages and means and were analyzed using chi-square, t tests, and logistic regression. Analyses accounted for complex survey design. SETTING: United States. PARTICIPANTS: Interviews were conducted with 6141 female respondents, aged 15 to 50, between 2017 and 2019. INTERVENTIONS: Data were collected through in-person interviews. RESULTS: Nationally, 5.7% reported a diagnosis of endometriosis (95% CI 4.6-6.9%). Those with endometriosis were older, with a mean age of 39 (95% CI 38.1-39.9), compared to 31.7 (95% CI 31.2-32.2) among those without (p <.0005). Endometriosis diagnosis was significantly associated with race. Compared to non-Hispanic White women, Hispanic women had an adjusted odds ratio (aOR) of 0.37 (95% CI 0.21-0.65) for diagnosis of endometriosis, and non-Hispanic Black women had an aOR of 0.54 (95% CI 0.35-0.84). We also observed a difference in diagnosis by health insurance: compared to those with private insurance or Medi-Gap coverage, those with Medicare or military insurance had an aOR for endometriosis diagnosis of 2.49 (95% CI 1.36-4.55). Finally, compared to those with less than a high school education, those who had completed high school or greater had an aOR for endometriosis diagnosis of 2.84 (95% CI 1.15-6.99). CONCLUSION: These disparities in endometriosis diagnosis suggest that intersecting barriers may preclude certain groups from accessing timely endometriosis diagnosis and management. Further studies are warranted to explore these hypothesis-generating data and to identify and address specific barriers to equitable endometriosis diagnosis and management.

Race, Ethnicity, and Sex Representation Trends Among Minimally Invasive Gynecologic Surgery Fellowship Trainees and Graduates.

STUDY OBJECTIVE: To study the race, ethnicity, and sex representation and annual trends of AAGL FMIGS fellows and graduates. DESIGN: A retrospective cross-sectional study. SETTING: AAMC databases were queried for demographic information between 2011 and 2023. PATIENTS/SUBJECTS: AAGL FMIGS fellows and graduates. INTERVENTIONS: N/A MEASUREMENTS AND MAIN RESULTS: Descriptive statistical analysis and the actual-to-expected (AE) ratio of each race, ethnicity, and sex were performed. AE ratio was calculated by dividing the 13-year average actual percentage of FMIGS trainees and graduates by the expected percentage based demographics of OBGYN residents and the US general population. 477 fellows graduated or were in training between 2011 and 2023; race and ethnicity information was obtained for 347 (72.7%) individuals, and sex information was available for 409 (85.7%). Representation of females ranged from 66.7% in 2017 to 93.3% in 2022. There was a significantly increasing slope for the representation of females (+1.3% per year; 95% CI 0.00-0.03; p = .027). Compared to their distribution among US OBGYN residents, White fellows' representation was lower [AE ratio, 95% CI 0.60 (0.44-0.81)] and of Asian fellows was higher [AE ratio, 95% CI 2.17 (1.47-3.21)]. Female fellows' representation was lower than expected [AE ratio, 95% CI 0.68 (0.48-0.96)] compared to their distribution among US OBGYN residents. Compared to the general US population, White fellows [AE ratio, 95% CI 0.65 (0.48-0.87)] and Hispanic fellows [AE ratio, 95% CI 0.53 (0.34-0.83)] representation was lower. Asian fellows' representation was higher compared to the general US population [AE ratio, 95% CI 5.87 (3.48-9.88)]. CONCLUSION: White and Hispanic fellows' representation was lower than expected, while Asian fellows' representation was higher in AAGL-accredited FMIGS programs. Female representation increased throughout the years, but overall, female fellows' representation was lower than expected compared to their distribution among OBGYN residents. These findings may help develop equitable recruitment strategies for FMIGS programs and reduce health disparities within complex gynecology.