Peptidomic profile of human milk as influenced by fortification with different protein sources: An in vitro dynamic digestion simulation.

Fortification of human milk (HM) is often necessary to meet the nutritional requirements of preterm infants. The present experiment aimed to establish whether the supplementation of HM with either an experimental donkey milk-derived fortifier containing whole donkey milk proteins, or with a commercial bovine milk-derived fortifier containing hydrolyzed bovine whey proteins, affects peptide release differently during digestion. The experiment was conducted using an in vitro dynamic system designed to simulate the preterm infant's digestion followed by digesta analysis by means of LC-MS-MS. The different fortifiers did not appear to influence the cumulative intensity of HM peptides. Fortification had a differential impact on the release of either donkey or bovine bioactive peptides. Donkey milk peptides showed antioxidant/ACE inhibitory activities, while bovine peptides showed opioid, dipeptil- and propyl endo- peptidase inhibitory and antimicrobial activity. A slight delay in peptide release from human lactoferrin and α-lactalbumin was observed when HM was supplemented with donkey milk-derived fortifier.

Ten years trajectories of estimated glomerular filtration rate (eGFR) in a multiethnic cohort of people with type 1 diabetes and preserved renal function.

OBJECTIVES: We aim to evaluate estimated glomerular filtration rate (eGFR) patterns of progression in a multiethnic cohort of people with type I diabetes mellitus and with baseline eGFR ≥45 mL/min/1.73 m2. DESIGN: Observational cohort. SETTING: People with a clinical diagnosis of type 1 diabetes, attending two university hospital-based outpatient diabetes clinics, in South London between 2004 and 2018. PARTICIPANTS: We studied 1495 participants (52% females, 81% white, 12% African-Caribbean and 7% others). PRIMARY AND SECONDARY OUTCOME MEASURES: Clinical measures including weight and height, systolic blood pressure, diastolic blood pressure and laboratory results (such as serum creatinine, urine albumin to creatinine ratio (ACR), HbA1c were collected from electronic health records (EHRs) and eGFR was estimated by the Chronic Kidney Disease-Epidemiology Collaboration. Ethnicity was self-reported. RESULTS: Five predominantly linear patterns/groups of eGFR trajectories were identified. Group I (8.5%) had a fast eGFR decline (>3 mL/min/1.73 m2 year). Group II (23%) stable eGFR, group III (29.8%), groups IV (26.3%) and V (12.4%) have preserved eGFR with no significant fall. Group I had the highest proportion (27.6%) of African-Caribbeans. Significant differences between group I and the other groups were observed in age, gender, HbA1C, systolic and diastolic blood pressure, body mass index, cholesterol and urine ACR, p<0.05 for all. At 10 years of follow-up, 33% of group I had eGFR <30 and 16.5%<15 (mL/min/1.73 m2). CONCLUSIONS: Distinct trajectories of eGFR were observed in people with type 1 diabetes. The group with the highest risk of eGFR decline had a greater proportion of African-Caribbeans compared with others and has higher prevalence of traditional modifiable risk factors for kidney disease.

Domestic radon exposure and childhood cancer risk by site and sex in 727 counties in the United States, 2001-2018.

BACKGROUND: Childhood cancer has few established risk factors and environmental influences are underexplored. This ecologic study investigated the association between domestic radon exposure and childhood cancer risk in a large sample of United States (U.S.) counties. METHODS: Monthly ZIP code-level basement radon estimates from a geographic machine learning model were aggregated annually to counties, analyzed as continuous and dichotomized (cut point: 74 Bq/cubic meter (Bq/m3) or 2.0 picocuries/L (pCi/L)) versions, and lagged by one year. Annual county-level counts of sex- and site-specific (all, leukemia, brain and central nervous system [CNS], and other sites) incident cancer diagnoses among those 0-19 years from 2001 to 2018 were obtained from the National Cancer Institute's Surveillance, Epidemiology, and End Results Program database. Sex- and site-specific counts were modeled as zero-inflated Poisson distributions in a Bayesian spatiotemporal framework and sequentially adjusted for random and fixed confounder effects. RESULTS: In 727 counties across 14 states, the average population aged 0-19 years was 41,599 people at baseline. Results from fully adjusted spatiotemporal statistical models indicated 1.05 (95% credible interval, CrI: 1.00, 1.09) times higher relative risks (RRs) of leukemia among both sexes and a RR of 1.06 (95%CrI: 1.00, 1.12) in males from a 50 Bq/m3 (1.35 pCi/L) increase in radon concentration the year prior. For radon exposures ≥74 Bq/m3 (2.00 pCi/L) the year prior, RRs were 1.08 (95%CrI: 1.02, 1.15) for both sexes and 1.12 (95%CrI: 1.04, 1.22) for females. No associations were found with other cancer sites or sexes from prior year radon exposures. CONCLUSIONS: County-level childhood leukemia risk in both sexes were associated with average radon levels below U.S. Environmental Protection Agency guidelines recommending mitigation (148 Bq/m3 or 4.00 pCi/L). These findings warrant further investigation using population-based and individual-level study designs.

Cohort profile: the ADAPT study, a prospective study of pregnancy preferences, pregnancy, and health and well-being in the southwestern USA.

PURPOSE: Significant methodological shortcomings limit the validity of prior research on pregnancy decision-making and the effects of 'unintended' pregnancies on people's health and well-being. The Attitudes and Decisions After Pregnancy Testing (ADAPT) study investigates the consequences for individuals unable to attain their pregnancy and childbearing preferences using an innovative nested prospective cohort design and novel conceptualisation and measurement of pregnancy preferences. PARTICIPANTS: This paper describes the characteristics of the ADAPT Study Cohort, comprised of 2015 individuals aged 15-34 years, assigned female at birth, recruited between 2019 and 2022 from 23 health facilities in the southwestern USA. FINDINGS TO DATE: The cohort was on average 25 years old. About 59% identified as Hispanic/Latine, 21% as white, and 8% as black, 13% multiracial or another race. Over half (56%) were nulliparous. About 32% lived in a household with income <100% of the federal poverty level. A significant minority (37%) reported a history of a depressive, anxiety or other mental health disorder diagnosis, and 30% reported currently experiencing moderate or severe depressive symptoms. Over one-quarter (27%) had ever experienced physical intimate partner violence, and almost half (49%) had ever experienced emotional abuse. About half (49%) had been diagnosed with a chronic health condition, and 37% rated their physical health as fair or poor. The 335 (17%) participants who experienced incident pregnancy over 1 year were similar to selected non-pregnant matched comparison participants in terms of age, racial and ethnic identity, and parity but were more likely to live with a main partner than comparison participants. FUTURE PLANS: We will continue to follow participants who experienced incident pregnancy and non-pregnant comparison participants until 2026. Analyses will examine pregnancy decision-making and investigate differences in health and well-being by prepregnancy pregnancy desires and feelings after the discovery of pregnancy, offering new insights into the consequences of not attaining one's reproductive preferences. TRIAL REGISTRATION NUMBER: NCT03888404.

A Study on the Effects of Depth-Dependent Power Loss on Speckle Statistics Estimation.

Characterization of the interference patterns observed in B-mode images (i.e., speckle statistics) is a valuable tool in tissue characterization. However, changes in echo amplitudes unrelated to speckle, including power loss due to attenuation and diffraction, can bias these metrics, undermining their utility. Tissue with high attenuation such as the uterine cervix are especially affected. The purpose of this study was to demonstrate and quantify the effects of attenuation and diffraction on speckle statistics and to propose methods of compensation. Analysis was performed on simulated diffuse scattering phantoms of varying attenuation with simulated transducers at 9 and 5 MHz center frequency. Application in the in vivo macaque cervix using a clinical scanner is also presented. Nakagami and homodyned K distribution parameters were calculated in parameter estimation regions (PERs) of varying size within simulations and experiments. Changes in speckle statistics parameters with respect to PER size and depth were compared with and without two different compensation schemes. It has been shown that compensation for attenuation and diffraction is necessary to produce speckle statistics estimates that do not depend on medium attenuation or PER size. Reducing the dependence on these factors connects speckle statistics estimates more closely with the microstructure of the probed medium.

Examining the Evidence on the Statistics Prerequisite for Admission to Doctor of Nursing Practice Programs: Retrospective Cohort Study.

BACKGROUND: Doctor of Nursing Practice (DNP) programs in the United States confer the highest practice degree in nursing. The proportion of racial and ethnic minority DNP students, including those of Asian descent, keeps increasing in the United States. Statistics is commonly required for DNP programs. However, there is insufficient evidence regarding the number of years within which statistics should be taken and the minimum grade required for admission to the program. OBJECTIVE: This study aimed to examine the associations of statistics prerequisite durations and grades for admission with the course performances within the DNP program. We also explored whether a postadmission statistics overview course can prepare students for a DNP statistics course as well as a required statistics prerequisite course. METHODS: A retrospective cohort study was conducted with a sample of 31 DNP students at a large university in the Mid-Atlantic region. Statistical analysis of data collected over 5 years, between 2018 and 2022, was performed to examine the associations, using Spearman rank correlation analysis and Mann-Whitney U test (U). RESULTS: The performance of students in a DNP statistics course was not associated with prerequisite duration. There was no significant association between the duration and the DNP statistics course letter grades (ρ=0.12; P=.66), neither with exam 1 (ρ=0.03; P=.91) nor with exam 2 scores (ρ=0.01; P=.97). Prerequisite grades were positively associated with exam 1 grades (ρ=0.59; P=.02), but not exam 2 (ρ=0.35; P=.19) or course grades (ρ=0.40; P=.12). In addition, no difference was found in the performance of students whether meeting the prerequisite requirements or taking a 1-month, self-paced overview course (exam 1: U=159, P=.13; exam 2: U=102, P=.50; course letter grade: U=117, P=.92). CONCLUSIONS: No evidence was found to support the need for limits on when prerequisites are completed or grade requirements. Opting for a statistics overview course after admission can serve as a viable alternative to the statistics prerequisite, effectively preparing students for advanced quantitative data analysis in a DNP program.

Knee Pain, Joint Loading, and Structural Abnormalities on MRI in 13-Year-Old Children in a Population-Based Birth Cohort.

BACKGROUND: Knee pain is a common problem in children and adolescents, and it often has a chronic character. PURPOSE: To examine the prevalence of knee pain in 13-year-old children and assess associations of knee pain with physical factors and the presence of structural abnormalities on magnetic resonance imaging (MRI). STUDY DESIGN: Cross-sectional study; Level of evidence, 3. METHODS: Data from the Generation R Study, a population-based birth cohort, were used. Prevalence and characteristics of knee pain were assessed, using a pain mannequin, in children 13 years of age (N = 1849). Patient characteristics and data on physical activity were extracted from questionnaires. The body mass index standard deviation score and waist-hip ratio were calculated from objectively measured weight and height. Structural abnormalities were assessed by MRI. The differences between children with and without knee pain were also analyzed. RESULTS: A prevalence of 8.0% was found for knee pain in children, of which 92.3% persisted for >3 months (ie, chronic); 37.5% of the children experienced pain daily, and the pain was almost always located on the anterior side of the knee (98.6%). Higher body mass index standard deviation scores were seen in children with knee pain than in the children without knee pain. No differences in physical activity were seen between children with and without knee pain. Moreover, in children with knee pain compared with children without knee pain, characteristics of Osgood-Schlatter disease (6.8% vs 1.9%) and bipartite patella type 3 (4.7% vs 0.3%) were more often seen on MRI. CONCLUSION: This study shows that knee pain is a relatively frequent problem in children. It is almost always located on the anterior aspect, has a chronic character, and is often experienced daily. However, the possible implication of structural abnormalities on MRI in children with knee pain and the possible relationship with the development of future knee complaints are still unclear.

Understanding p-values and significance.

P-values combined with estimates of effect size are used to assess the importance of experimental results. However, their interpretation can be invalidated by selection bias when testing multiple hypotheses, fitting multiple models or even informally selecting results that seem interesting after observing the data. We offer an introduction to principled uses of p-values (targeted at the non-specialist) and identify questionable practices to be avoided.

Cognitive impairment mediates the white matter injury load and gait disorders in subcortical ischemic vascular disease.

Gait disorders are common in patients with subcortical ischemic vascular disease (SIVD). We aim to explore the impact of white matter (WM) damage on gait disorders in SIVD. 21 SIVD patients and 20 normal controls (NC) were included in the study. Montreal Cognitive Assessment (MoCA) was used to evaluate general cognition, while Speed-Accuracy Trade-Off (SAT) was used to assess executive function. Gait velocity, cadence, and stride length were measured. Diffusion Tensor Imaging (DTI) data were analyzed using Tract-Based Spatial Statistics (TBSS) and Peak Width of Skeletonized Mean Diffusivity (PSMD). The relationships among WM damage, gait disorders, and cognitive function were examined through mediation analysis. SIVD scored lower than NC in MoCA and SAT tests (P < 0.001). Gait velocity and stride length were decreased in SIVD. SIVD had lower PSMD (P < 0.001). PSMD correlated with gait parameters, which were totally mediated by MoCA and partially mediated by SAT. The fractional anisotropy (FA) and mean diffusivity (MD) of the genu of the corpus callosum (GCC) and body of CC (BCC) were correlated with gait parameters. The FA of the bilateral anterior corona radiata (ACR) was positively correlated with gait parameters, while the MD of the bilateral superior corona radiata (SCR), bilateral superior longitudinal fasciculus (SLF), and left external capsule (EC) were negatively correlated with them (P < 0.05). Gait impairments in SIVD were associated with cognitive deficits. Cognitive impairment mediated the WM damage and gait disorders. The microstructural alterations of CC, SLF, EC, and CR may be related to changes in gait.

Cardiovascular Disease Mortality Trends, 2010-2022: An Update with Final Data.

INTRODUCTION: Age-adjusted mortality rates (AAMR) for cardiovascular diseases (CVD) increased in 2020 and 2021, and provisional data indicated an increase in 2022, resulting in substantial excess CVD deaths during the COVID-19 pandemic. Updated estimates using final data for 2022 are needed. METHODS: The National Vital Statistics System's final Multiple Cause of Death files were analyzed in 2024 to calculate AAMR from 2010 to 2022 and excess deaths from 2020 to 2022 for US adults aged ≥35 years, with CVD as the underlying cause of death. RESULTS: The CVD AAMR among adults aged ≥35 years in 2022 was 434.6 deaths per 100,000 (95% CI: 433.8, 435.5), which was lower than in 2021 (451.8 deaths per 100,000; 95% CI: 450.9, 452.7). The most recent year with a similarly high CVD AAMR as in 2022 was 2012 (434.7 deaths per 100,000 population, 95% CI: 433.8, 435.7). The CVD AAMR for 2022 calculated using provisional data over-estimated the AAMR calculated using final data by 4.6% (95% CI: 4.3%, 4.9%) or 19.9 (95% CI: 18.6, 21.2) deaths per 100,000 population. From 2020 to 2022, an estimated 190,661 (95% CI: 158,139, 223,325) excess CVD deaths occurred. CONCLUSIONS: In 2022, the CVD AAMR among adults aged ≥35 years did not increase, but rather declined from a peak in 2021, signaling improvements in adverse mortality trends that began in 2020, amid the COVID-19 pandemic. However, the 2022 CVD AAMR remains higher than observed before the COVID-19 pandemic, indicating an ongoing need for cardiovascular disease prevention, detection, and management.

Can verbal autopsies be used on a national scale? Key findings and lessons from South Africa's national cause-of-death validation study.

BACKGROUND: Verbal autopsy (VA), though imperfect, serves as a vital tool to determine cause-of-death, particularly for out-of-facility deaths, but challenges persist in integrating VA into Civil Registration and Vital Statistics systems. OBJECTIVE: To describe the challenges and successes of collecting a national sample of verbal autopsy interviews in South Africa to obtain the cause of death profile in 2017/18. METHODS: We recruited next of kin from 27 randomly selected sub-districts (10.5%) across South Africa between September 2017 and April 2018. Trained fieldworkers conducted face-to-face interviews using the WHO2016 VA instrument, with physicians certifying underlying causes of death. Feasibility was evaluated based on response rates, participation, and data quality. RESULTS: Of the total 36,976 deaths registered, only 26% were identified during recruitment, with a 55% overall response rate for VA interviews. Physician-reviewed VA data were deemed of good quality for assigning underlying causes of death in 83% of cases. By comparing cause-specific mortality fractions, physician-reviewed VA identified 22.3% HIV/AIDS and InterVA-5 identified 18.5%, aligning with burden of disease estimates, while Statistics South Africa reported 4.9% HIV/AIDS. CONCLUSIONS: The study demonstrated the feasibility of using VA on a national scale, but immense challenges in identifying and recruiting next of kin highlight the importance of formalising VAs within the country's death notification system.

• Main findings: Next of kin of 9 730 decedents were approached at the time of registration of death and 55% consented to be approached later and agreed to do a VA interview by a trained field-worker; 83% of physician-reviewed VA data were considered high-quality for determining underlying causes and 22.3% of all the deaths were due to HIV/AIDS, much higher than the proportion reported in the national statistical office.• Added knowledge: Implementing the VA on a national scale was achievable but significant challenges in recruiting next of kin, emphasising a need to formalise VAs within the country's death notification system.• Global health impact for policy and action: Accurate cause-of-death data are crucial for policymakers to make informed decisions about the country's health system and could be supported by using VAs, particularly for the deaths that occur outside health facilities.

Common errors in statistics and methods.

As statistical reviewers and editors for BMJ Paediatrics Open (BMJPO), we frequently see methodological and statistical errors in articles submitted to our journal. To make a list of these common errors and propose suitable corrections, and inspired by similar efforts at other leading journals, we surveyed the statistical reviewers and editors at BMJPO to collect their 'pet peeves' and examples of best practices.(1, 2) We have divided these into seven sections: graphics; statistical significance and related issues; presentation, vocabulary, textual and tabular presentation; causality; model building, regression and choice of methods; meta-analysis; and miscellaneous. Here, we present the common errors, with brief explanations. We hope that the guidance provided here will help guide authors as they prepare their submissions to the journal, leading to higher quality and more robust research reporting.

Global, regional, and national burden of acute myeloid leukemia, 1990-2021: a systematic analysis for the global burden of disease study 2021.

BACKGROUND: Acute myeloid leukemia (AML), as the most common subtype of leukemia in adults, is characterised by rapid progression and poor prognosis. In the context of the rapid development of medical technology and the complexity of social factors, a detailed report describing the latest epidemiological patterns of AML is important for decision makers to allocate healthcare resources effectively. METHODS: Our research utilized the latest data sourced from the Global Burden of Disease (GBD) 2021. To delineate the burden of AML, we comprehensively described the incidence, deaths, disability-adjusted life years (DALYs), and the associated age-standardized rates per 100,000 persons (ASR) spanning from 1990 to 2021 stratifies according to age, sex, socio-demographic index (SDI), and nationality. Additionally, we extracted and analyzed data about the risk factors that contribute to AML-related deaths and DALYs. RESULTS: According to our study, the incidence of AML has continued to rise globally from 79,372 in 1990 to 144,645 in 2021 and AML affected the male and the elderly populations disproportionately. Furthermore, there was a significant positive correlation between the burden of AML and the SDI value. Developed nations generally exhibited higher age-standardized incidence rate, age-standardized death rate, and age-standardized disability-adjusted life year rate than the developing nations. We also analyzed the prevalence of smoking, high body mass index, and occupational benzene and formaldehyde exposure in the AML population in different SDI regions. Moreover, smoking and high body mass index were more prevalent in developed countries, whereas occupational exposure to these chemicals was the predominant risk factor in developing countries. CONCLUSION: The global burden of AML has increased over the past 32 years, with rising morbidity and mortality. The incidence of AML is differentially distributed across different SDI countries or regions. AML incidence is higher in the elderly and in men. The proportions of smoking, high body mass index, and occupational exposure to benzene and formaldehyde varied by region. The findings highlight the need for region-specific prevention and call for future research on preventive strategies and new treatments to lower AML incidence and improve patient outcomes.

Predicting Psoriatic Arthritis in Psoriasis Patients - A Swiss Registry Study.

Background: Psoriatic arthritis (PsA) is a prevalent comorbidity among patients with psoriasis, heavily contributing to their burden of disease, usually diagnosed several years after the diagnosis of psoriasis. Objectives: To investigate the predictability of psoriatic arthritis in patients with psoriasis and to identify important predictors. Methods: Data from the Swiss Dermatology Network on Targeted Therapies (SDNTT) involving patients treated for psoriasis were utilized. A combination of gradient-boosted decision trees and mixed models was used to classify patients based on their diagnosis of PsA or its absence. The variables with the highest predictive power were identified. Time to PsA diagnosis was visualized with the Kaplan-Meier method and the relationship between severity of psoriasis and PsA was explored through quantile regression. Results: A diagnosis of psoriatic arthritis was registered at baseline of 407 (29.5%) treatment series. 516 patients had no registration of PsA, 257 patients had PsA at inclusion, and 91 patients were diagnosed with PsA after inclusion. The model's AUROCs was up to 73.7%, and variables with the highest discriminatory power were age, PASI, physical well-being, and severity of nail psoriasis. Among patients who developed PsA after inclusion, significantly more first treatment series were classified in the PsA-group, compared to those with no PsA registration. PASI was significantly correlated with the median burden/severity of PsA (P = .01). Conclusions: Distinguishing between patients with and without PsA based on clinical characteristics is feasible and even predicting future diagnoses of PsA is possible. Patients at higher risk can be identified using important predictors of PsA.

Identification of genetic basis of brain imaging by group sparse multi-task learning leveraging summary statistics.

Brain imaging genetics is an evolving neuroscience topic aiming to identify genetic variations related to neuroimaging measurements of interest. Traditional linear regression methods have shown success, but their reliance on individual-level imaging and genetic data limits their applicability. Herein, we proposed S-GsMTLR, a group sparse multi-task linear regression method designed to harness summary statistics from genome-wide association studies (GWAS) of neuroimaging quantitative traits. S-GsMTLR directly employs GWAS summary statistics, bypassing the requirement for raw imaging genetic data, and applies multivariate multi-task sparse learning to these univariate GWAS results. It amalgamates the strengths of conventional sparse learning methods, including sophisticated modeling techniques and efficient feature selection. Additionally, we implemented a rapid optimization strategy to alleviate computational burdens by identifying genetic variants associated with phenotypes of interest across the entire chromosome. We first evaluated S-GsMTLR using summary statistics derived from the Alzheimer's Disease Neuroimaging Initiative. The results were remarkably encouraging, demonstrating its comparability to conventional methods in modeling and identification of risk loci. Furthermore, our method was evaluated with two additional GWAS summary statistics datasets: One focused on white matter microstructures and the other on whole brain imaging phenotypes, where the original individual-level data was unavailable. The results not only highlighted S-GsMTLR's ability to pinpoint significant loci but also revealed intriguing structures within genetic variations and loci that went unnoticed by GWAS. These findings suggest that S-GsMTLR is a promising multivariate sparse learning method in brain imaging genetics. It eliminates the need for original individual-level imaging and genetic data while demonstrating commendable modeling and feature selection capabilities.

Twelfth Triennial Toxicology Salary Survey.

This is the 12th in a series of salary surveys conducted at approximately 3-year intervals for toxicologists that began in 1988. Previous salary surveys were conducted in 1988,1 1991,2 1995,3 1998,4 2001,5 2004,6 2007 (which was posted electronically, but not published), 2012,7 2016,8 2020,9 and 2022.10 In addition to presenting the 2024 results, herein we are providing additional data and an analysis of the trends for employment and pay in toxicology over the last 37 years.

Spatiotemporal analysis of the association between Kawasaki disease incidence and PM2.5 exposure: a nationwide database study in Japan.

BACKGROUND: Kawasaki disease (KD) is an acute vasculitis primarily affecting children. While some studies suggest a link between KD and PM2.5 exposure, findings remain inconsistent. This study aimed to perform spatiotemporal analysis to investigate the impact of monthly and annual exposure to PM2.5 and other air pollutants on the incidence of KD before and after the advent of the COVID-19 pandemic. METHODS: In this retrospective analysis, we used the Japanese administrative claims database to identify the incidence of KD in children under age 5 in 335 secondary medical care areas across Japan before (from July 2014 to December 2019) and during (from January 2020 to December 2021) the COVID-19 pandemic. For each of these periods, we developed hierarchical Bayesian models termed conditional autoregressive (CAR) models that can address the spatiotemporal clustering of KD to investigate the association between the monthly incidence of KD and exposure to PM2.5, NO, NO2 and SO2 over 1-month and 12-month durations. The pollution data were collected from publicly available data provided by the National Institute for Environmental Studies. RESULTS: In the before-pandemic and during-pandemic periods, 55 289 and 14 023 new cases of KD were identified, respectively. The CAR models revealed that only 12-month exposure to PM2.5 was consistently correlated with KD incidence, and each 1 µg/m3 increase in annual PM2.5 exposure corresponded to a 3%-10% rise in KD incidence. Consistent outcomes were observed in the age-stratified sensitivity analysis. CONCLUSIONS: Annual exposure to PM2.5 was robustly linked with the onset of KD. Further research is needed to elucidate the underlying mechanism by which the spatiotemporal distribution of PM2.5 is associated with KD.

Language Statistics at Different Spatial, Temporal, and Grammatical Scales.

In recent decades, the field of statistical linguistics has made significant strides, which have been fueled by the availability of data. Leveraging Twitter data, this paper explores the English and Spanish languages, investigating their rank diversity across different scales: temporal intervals (ranging from 3 to 96 h), spatial radii (spanning 3 km to over 3000 km), and grammatical word ngrams (ranging from 1-grams to 5-grams). The analysis focuses on word ngrams, examining a time period of 1 year (2014) and eight different countries. Our findings highlight the relevance of all three scales with the most substantial changes observed at the grammatical level. Specifically, at the monogram level, rank diversity curves exhibit remarkable similarity across languages, countries, and temporal or spatial scales. However, as the grammatical scale expands, variations in rank diversity become more pronounced and influenced by temporal, spatial, linguistic, and national factors. Additionally, we investigate the statistical characteristics of Twitter-specific tokens, including emojis, hashtags, and user mentions, revealing a sigmoid pattern in their rank diversity function. These insights contribute to quantifying universal language statistics while also identifying potential sources of variation.

French translation of the Peyronie's disease questionnaire: A pilot study.

BACKGROUND: The Peyronie's Disease Questionnaire (PDQ) was designed to quantitatively assess the symptoms and psychosexual consequences of Peyronie's disease but has only been validated in four languages. The aim of the study was to provide a French translation of the PDQ, to make it available to the French-speaking urology community. METHODS: After a double translation of the PDQ from English into French, followed by a back translation by four expert translators, a conciliation process enabled the creation of the final French version. For each item, participants were asked to answer two sub-questions. The percentage of responses "I fully understood the question" to sub-question (a) constituted the validation criterion for the translation. RESULTS: The final French version was submitted to a series of 30 men with Peyronie's disease whose average age was 59 (±12) years. For each question, the comprehension rate was over 95%, and for 12/15 items it was 100%. For the remaining 3 items, men declared that they did not feel disturbed or bothered by the questions and none of the questions were misunderstood. CONCLUSION: This pilot study shows that our translation of the PDQ is valid and comprehensible by all participants, regardless of the age or level of education. This French version should be validated further in other French-speaking populations before final validation.