Lower Urinary Tract Symptoms in US Women: Contemporary Prevalence Estimates from the RISE FOR HEALTH Study.

BACKGROUND: To estimate the prevalence of a wide range of lower urinary tract symptoms (LUTS) in US women, and to explore associations with bother and discussion with healthcare providers, friends, and family. MATERIALS AND METHODS: We analyzed baseline data collected from 5/2022-12/2023 in the RISE FOR HEALTH study-a large, regionally-representative cohort study of adult female community members. LUTS and related bother were measured by the 10-item Symptoms of Lower Urinary Tract Dysfunction Research Network Symptom Index and discussion was assessed by a study-specific item. RESULTS: Of the 3000 eligible participants, 73% (95% confidence interval [CI] = 71-74%) reported any storage symptoms, 52% (95% CI = 50-53) any voiding or emptying symptoms, and 11% (95% CI = 10-13%) any pain with bladder filling, for an overall LUTS prevalence of 79% (95% CI = 78-81%). This prevalence estimate included 43% (95% CI = 41-45%) of participants with mild-to-moderate symptoms and 37% (95% CI = 35-38%) with moderate-to-severe symptoms. Over one-third of participants reported LUTS-related bother (38%, 95% CI = 36-39%) and discussion (38%, 95% CI = 36-40%), whereas only 7.1% (95% CI = 6.2-8.1%) reported treatment. Urgency and incontinence (including urgency and stress incontinence) were associated with the greatest likelihood of bother and/or discussion (adjusted prevalence ratios = 1.3-2.3), even at mild-to-moderate levels. They were also the most commonly treated LUTS. CONCLUSIONS: LUTS, particularly storage LUTS such as urgency and incontinence, were common and bothersome in the RISE study population, yet often untreated. Given this large burden, both prevention and treatment-related interventions are warranted to reduce the high prevalence and bother of LUTS.

Optimizing the measurement of sample entropy in resting-state fMRI data.

Introduction: The complexity of brain signals may hold clues to understand brain-based disorders. Sample entropy, an index that captures the predictability of a signal, is a promising tool to measure signal complexity. However, measurement of sample entropy from fMRI signals has its challenges, and numerous questions regarding preprocessing and parameter selection require research to advance the potential impact of this method. For one example, entropy may be highly sensitive to the effects of motion, yet standard approaches to addressing motion (e.g., scrubbing) may be unsuitable for entropy measurement. For another, the parameters used to calculate entropy need to be defined by the properties of data being analyzed, an issue that has frequently been ignored in fMRI research. The current work sought to rigorously address these issues and to create methods that could be used to advance this field. Methods: We developed and tested a novel windowing approach to select and concatenate (ignoring connecting volumes) low-motion windows in fMRI data to reduce the impact of motion on sample entropy estimates. We created utilities (implementing autoregressive models and a grid search function) to facilitate selection of the matching length m parameter and the error tolerance r parameter. We developed an approach to apply these methods at every grayordinate of the brain, creating a whole-brain dense entropy map. These methods and tools have been integrated into a publicly available R package ("powseR"). We demonstrate these methods using data from the ABCD study. After applying the windowing procedure to allow sample entropy calculation on the lowest-motion windows from runs 1 and 2 (combined) and those from runs 3 and 4 (combined), we identified the optimal m and r parameters for these data. To confirm the impact of the windowing procedure, we compared entropy values and their relationship with motion when entropy was calculated using the full set of data vs. those calculated using the windowing procedure. We then assessed reproducibility of sample entropy calculations using the windowed procedure by calculating the intraclass correlation between the earlier and later entropy measurements at every grayordinate. Results: When applying these optimized methods to the ABCD data (from the subset of individuals who had enough windows of continuous "usable" volumes), we found that the novel windowing procedure successfully mitigated the large inverse correlation between entropy values and head motion seen when using a standard approach. Furthermore, using the windowed approach, entropy values calculated early in the scan (runs 1 and 2) are largely reproducible when measured later in the scan (runs 3 and 4), although there is some regional variability in reproducibility. Discussion: We developed an optimized approach to measuring sample entropy that addresses concerns about motion and that can be applied across datasets through user-identified adaptations that allow the method to be tailored to the dataset at hand. We offer preliminary results regarding reproducibility. We also include recommendations for fMRI data acquisition to optimize sample entropy measurement and considerations for the field.

A Multilevel Examination of Cognitive Control in Adolescents With Nonsuicidal Self-injury.

Background: Nonsuicidal self-injury (NSSI), a transdiagnostic behavior, often emerges during adolescence. This study used the Research Domain Criteria approach to examine cognitive control (CC) with a focus on response inhibition and urgency relative to NSSI severity in adolescents. Methods: One hundred thirty-eight adolescents, assigned female sex at birth, with a continuum of NSSI severity completed negative and positive urgency measurements (self-report), an emotional Go/NoGo task within negative and positive contexts (behavioral), and structural and functional imaging during resting state and task (brain metrics). Cortical thickness, subcortical volume, resting-state functional connectivity, and task activation focused on an a priori-defined CC network. Eighty-four participants had all these main measures. Correlations and stepwise model selection followed by multiple regression were used to examine the association between NSSI severity and multiunit CC measurements. Results: Higher NSSI severity correlated with higher negative urgency and lower accuracy during positive no-inhibition (Go). Brain NSSI severity correlates varied across modalities and valence. For right medial prefrontal cortex and right caudate, higher NSSI severity correlated with greater negative but lower positive inhibition (NoGo) activation. The opposite pattern was observed for the right dorsolateral prefrontal cortex. Higher NSSI severity correlated with lower left dorsal anterior cingulate cortex (ACC) negative inhibition activation and thicker left dorsal ACC, yet it was correlated with higher right rostral ACC positive inhibition activation and thinner right rostral ACC, as well as lower CC network resting-state functional connectivity. Conclusions: Findings revealed multifaceted signatures of NSSI severity across CC units of analysis, confirming the relevance of this domain in adolescent NSSI and illustrating how multimodal approaches can shed light on psychopathology.

Increased suicidal ideation and suicide attempts in COVID-19 patients in the United States: Statistics from a large national insurance billing database.

Emerging research suggests suicidality may have increased during the COVID-19 pandemic. This cross-sectional study aimed to advance understanding of suicide risk during the pandemic through novel use of a large insurance database. Using logistic regression across time-points, we estimated the effect of exposure to SARS-CoV-2 infection on rates of suicidal ideation and suicide attempts in infected individuals versus uninfected controls during the pandemic (March 2020 - September 2021). In uninfected individuals, we estimated the effect of exposure to the pandemic period versus the pre-pandemic control period (January 2017 to February 2020) on suicidality rates. We also investigated within-pandemic temporal patterns of suicidality. All patients with data in the UnitedHealth Group claims during those intervals were included. ICD-10 codes defined suicidality measures. There were 525,312,717 (62.3% over age 45, 57.7% female) included encounters. From the pandemic subsample (32.8%), 1.7% were COVID+. Adjusted odds ratios showed that COVID+ patients were significantly more likely to have suicidal ideation and suicide attempts than COVID- patients. Among COVID- patients, adjusted odds of suicidality were significantly lower during versus prior to the pandemic. Results were unfortunately limited by the absence of data on deaths by suicide. Further research should examine how SARS-CoV-2 infection may influence suicidality.

Healthy bladder storage and emptying functions in community-dwelling women measured by a 2-day bladder health diary.

INTRODUCTION: The prevalence of healthy bladder storage and emptying function in community-dwelling women is not well established. METHODS: A planned secondary analysis of a US cross-sectional study designed to validate a bladder health instrument was conducted in women aged ≥18 years. A subset was invited to complete the novel 2-day bladder health diary capturing bladder storage and emptying experiences. Overall healthy bladder function was defined as ≤8 waking/daytime voids and ≤1 void during sleeping/nighttime; along with the absence of leakage, urgency, emptying difficulties (initiation, flow, efficacy, relief of urge sensation) and pain. Descriptive statistics of healthy bladder functions and regression models of factors associated with healthy function are reported. RESULTS: Of the 383 invited, 237 (62%) eligible women returned complete dairies. Of these, 12% (29/237) met criteria for overall healthy bladder function. Most (96%) denied pain, 74% had healthy daytime and 83% had healthy nighttime voiding frequency, 64% were continent, 36% reported healthy emptying and 30% denied any urgency episodes. Middle income (odds ratio [OR]:95% confidence interval [CI] = 11.4:1.9-67.4 for $75k-$99 999 vs. $25 000-$49 999), Graduate education (4.8:1.4-17) and previously seeking treatment for bladder problems (OR:95%CI = 0.1; 0-0.9) were associated with overall healthy function. CONCLUSION: The prevalence of overall healthy bladder function was very low based on our strict definition of health as measured on a 2-day diary. However, most women had healthy voiding frequency and denied pain or urinary leakage. Postvoid dribbling and urgency most commonly contributed to an overall unhealthy bladder. Further investigation is needed to determine whether these diary derived measures are meaningful for patient-oriented bladder health research.

Psychiatric Diagnoses and Treatment in Nine- to Ten-Year-Old Participants in the ABCD Study.

Objective: Psychiatric disorders commonly emerge prior to adulthood. Identification and intervention may vary significantly across populations. We leveraged a large population-based study to estimate the prevalence of psychiatric disorders and treatments, and evaluate predictors of treatment, in children ages 9-10 in the United States. Method: We analyzed cross-sectional data from the Adolescent Brain Cognitive Developmental (ABCD) Study. The Computerized Kiddie Schedule for Affective Disorders and Schizophrenia (KSADS-COMP) was used to estimate clinical diagnoses, and the Child Behavior Checklist (CBCL) was used to assess internalizing and externalizing psychopathology. Parents reported on prescription medications and other mental health interventions. Prevalence rates of KSADS diagnoses and treatments were calculated. Logistic regression analyses estimated associations between clinical and sociodemographic predictors (sex at birth, race, ethnicity, income, education, urbanicity) and treatments. Results: The most common KSADS diagnoses were anxiety disorders, followed by attention deficit/hyperactivity disorder (ADHD) and oppositional defiant disorder. ADHD and depression diagnoses predicted stimulant and antidepressant medication use, respectively. Bipolar and ADHD diagnoses also predicted antidepressant medications, outpatient treatment and psychotherapy. The odds of reporting specific treatments varied by sex, ethnic and racial identities, urbanicity, and income. Conclusion: Expected rates of KSADS-based psychiatric symptoms are present in the ABCD sample at ages 9-10, with treatment patterns broadly mapping onto psychopathology in expected ways. However, we observed important variations in reported treatment utilization across sociodemographic groups, likely reflecting societal and cultural influences. Findings are considered in the context of potential mental health disparities in U.S. children.