Relations Between Parental Emotion Talk and Preschoolers' Emotion Expressions in Low-Income Chinese American and Mexican American Families.

: Preschool children learn to express emotions in accordance with sociocultural norms. Parental emotion talk (ET) has been theorized to shape these processes. Limited research has examined preschoolers' observed emotion expressions and emotion-related behaviors in culturally diverse samples.

Predicting lack of clinical improvement following varicose vein ablation using machine learning.

Objective: Varicose vein ablation is generally indicated in patients with active/healed venous ulcers. However, patient selection for intervention in individuals without venous ulcers is less clear. Tools that predict lack of clinical improvement (LCI) after vein ablation may help guide clinical decision-making but remain limited.

Top-down self-regulation as a core construct in children's and adolescents' optimal development.

Research and theory on the role of top-down self-regulation (TDSR) in children's developmental outcomes has received considerable attention in the last few decades. In this review, we distinguish TDSR (and overlapping self-regulatory processes) from bottom-up regulation. With a particular focus on Eisenberg et al.

Repeat hysteroscopic polypectomy: Impact of hysteroscopic instrumentation and provision of anesthesia.

Study Objective: To determine the association of repeat polypectomy with patient and/or polyp characteristics, surgical setting, and type of hysteroscopic equipment.

Methods: Retrospective cohort study including all women who had undergone operative hysteroscopy for the removal of endometrial polyps between 1/2012-12/2022 in our division. Operative hysteroscopy with resection of endometrial polyps was performed using a bipolar loop resectoscope, miniaturized hysteroscopic instruments (bipolar needle, scissors, and graspers), or a tissue-removal device (from April 2021), with or without general anesthesia.

Using Machine Learning to Predict Outcomes Following Transfemoral Carotid Artery Stenting.

Background: Transfemoral carotid artery stenting (TFCAS) carries important perioperative risks. Outcome prediction tools may help guide clinical decision-making but remain limited. We developed machine learning algorithms that predict 1-year stroke or death following TFCAS.

Predicting inferior vena cava filter complications using machine learning.

Objective: Inferior vena cava (IVC) filter placement is associated with important long-term complications. Predictive models for filter-related complications may help guide clinical decision-making but remain limited. We developed machine learning (ML) algorithms that predict 1-year IVC filter complications using preoperative data.

The relevance of top-down self-regulation for children's and adolescents' developmental outcomes.

A popular topic in developmental science is self-regulation, an aspect of functioning viewed as contributing to optimal development. Of particular theoretical importance is top-down (frontal cortically based) self-regulation (TDSR). This article briefly reviews recent research on TDSR's relation to four areas of development: maladjustment, social competence, prosocial development, and academic development.

Pilot Implementation of Guiando Buenas Decisiones, an Evidence-Based Parenting Program for Spanish-Speaking Families, in Pediatric Primary Care in a Large, U.S. Health System: A Qualitative Interview Study.

Adolescent substance use is a significant public health problem in the United States and Hispanic youth engage in substance use services at lower rates than other groups. For this under-served group, prevention services delivered in non-stigmatized, non-specialty care settings may increase access to the services. We describe findings from a feasibility pilot of the implementation of a virtual version of Guiando Buenas Decisiones (GBD), a universal, group-based substance use prevention program for parents.

Management of renal artery aneurysms: A retrospective study.

Background: Although renal artery aneurysms (RAAs) are rare and often asymptomatic with slow growth, their natural progression and optimal management are not well understood. Treatment recommendations for RAAs do exist; however, they are supported by limited data.

Methods: A retrospective cohort study was conducted to explore the management of patients diagnosed with an RAA at our institution from January 1st, 2013, to December 31st, 2020.

Emotion-related Self-regulation Profiles in Early Adolescence: A Cross-National Study.

Emotionality and self-regulation are crucial for positive development, especially during early adolescence when youths experience normative increases in behavioral problems and declines in prosociality. Using Latent Profile Analysis (LPA-a person-oriented technique to identify patterns of functioning individuals), we identified youths' profiles based on dimensions of mother-reported negative emotionality (NE; anger/frustration, sadness/depressive mood), and Effortful Control (EC; attentional, activation and inhibitory control) and examined concurrent associations with self- and mother-reported aggressive and prosocial behaviors. We included a cross-national sample of 530 youths ( 11.

Following the COMPASS: Antithrombotic Prescription Trends in Patients with Symptomatic Peripheral Arterial Disease following Revascularization.

Background: The Vascular Outcomes Study of aspirin (ASA) Along with Rivaroxaban in Endovascular or Surgical Limb Revascularization for peripheral artery disease (PAD) trial demonstrated the superiority of ASA and low-dose rivaroxaban (Cardiovascular Outcomes for People Using Anticoagulation Strategies (COMPASS) trial dosing) compared with ASA alone in reducing major adverse cardiovascular events and major adverse limb events. We studied the COMPASS discharge prescription patterns in patients with symptomatic PAD who have undergone revascularization in our institution, since the time of publication of the Vascular Outcomes Study of ASA Along with Rivaroxaban in Endovascular or Surgical Limb Revascularization for PAD trial.

Methods: All patients included in this study had documented lower-extremity atherosclerotic PAD and were eligible for COMPASS dosing.

The relations among prosocial behavior, hedonic, and eudaimonic well-being in everyday life.

Introduction: Existing research highlights the significance of prosocial behavior (voluntary, intentional behavior that results in benefits for another) to people's well-being. Yet, the extent to which this expected positive relation operates at the within-person level (e.g.

Feasibility of Office-Based Operative Hysteroscopy by a Tissue Removal System Without Anesthesia.

Study Objective: To investigate the feasibility of operative hysteroscopy by a hysteroscopic tissue removal system (HTRS) without anesthesia in women with endometrial polyps (EP) or retained products of conception (RPOC).

Design: Prospective observational cohort study.

Setting: University-affiliated Department of Obstetrics and Gynecology.

Age is not a sole predictor of outcomes in octogenarians undergoing complex endovascular aortic repair.

Objective: To examine the perioperative, postoperative, and long-term outcomes of fenestrated/branched endovascular aneurysm repair (F/BEVAR) in octogenarians compared with nonoctogenarians.

Methods: A multicenter, retrospective cohort study was conducted using the Vascular Quality Improvement database, which prospectively captures information on patients who undergo vascular surgery across 1021 academic and community hospitals in North America. All patients who underwent F/BEVAR endovascular aortic repair from 2012 to 2022 were included.

Machine Learning to Predict Outcomes of Endovascular Intervention for Patients With PAD.

Importance: Endovascular intervention for peripheral artery disease (PAD) carries nonnegligible perioperative risks; however, outcome prediction tools are limited.

Objective: To develop machine learning (ML) algorithms that can predict outcomes following endovascular intervention for PAD.

Design, Setting, And Participants: This prognostic study included patients who underwent endovascular intervention for PAD between January 1, 2004, and July 5, 2023, with 1 year of follow-up.

Are prosocial tendencies relevant for developmental psychopathology? The relations of prosocial behavior and empathy-related responding to externalizing problems, internalizing problems, and autism spectrum disorder.

The field of developmental psychopathology tends to focus on the negative aspects of functioning. However, prosocial behavior and empathy-related responding - positive aspects of functioning- might relate to some aspects of psychopathology in meaningful ways. In this article, we review research on the relations of three types of developmental psychopathology- externalizing problems (EPs), internalizing problems (IPs), and Autism Spectrum Disorder (ASD) - to empathy-related responding (e.

Delayed diagnosis and treatment of adolescents and young women with suspected endometriosis.

Study Objective: Early diagnosis and treatment of endometriosis in adolescents and young women is considered essential for improving their quality of life and for prevention of long-term complications. In adult women with endometriosis, significant delays in diagnosis and medical or surgical treatment have been described. Our study aimed to investigate the delay in diagnosis and treatment of adolescents and young women with suspected endometriosis.

Using Machine Learning (XGBoost) to Predict Outcomes After Infrainguinal Bypass for Peripheral Artery Disease.

Objective: To develop machine learning (ML) algorithms that predict outcomes after infrainguinal bypass.

Background: Infrainguinal bypass for peripheral artery disease carries significant surgical risks; however, outcome prediction tools remain limited.

Methods: The Vascular Quality Initiative database was used to identify patients who underwent infrainguinal bypass for peripheral artery disease between 2003 and 2023.

Longitudinal Relations Among Parental Substance Use Disorder and Adolescent Drinking Behavior: The Role of Temperament, Negative Urgency, and Maternal Parenting.

Research suggests that parental substance use disorder is associated with adolescent drinking indirectly through negative urgency, a form of impulsivity that is particularly associated with high-risk drinking. Moreover, childhood mechanisms of risk may play a role in this developmental chain such that childhood temperament and parenting may be mechanisms through which parental substance use disorder is associated with adolescent negative urgency and drinking behavior. Therefore, the current study tested whether parental substance use disorder was indirectly associated with adolescent drinking frequency through childhood temperament (i.

Using machine learning to predict outcomes following suprainguinal bypass.

Objective: Suprainguinal bypass for peripheral artery disease (PAD) carries important surgical risks; however, outcome prediction tools remain limited. We developed machine learning (ML) algorithms that predict outcomes following suprainguinal bypass.

Methods: The Vascular Quality Initiative database was used to identify patients who underwent suprainguinal bypass for PAD between 2003 and 2023.

Peers' Emotionality and Children's Academic Achievement in Second Grade: Testing the Moderating Role of Children's Behavioral Self-Regulation.

Although there is interest in the role of peers in children's schooling experiences, few researchers have examined associations and related underlying processes between peers' emotionality, an aspect of temperament, and children's academic achievement. This study evaluated whether target children's ( = 260) own self-regulation, assessed with two behavioral measures, served a moderating function for associations between peers' emotionality and children's own academic achievement in second grade. There was a positive association between peers' positive emotionality and reading scores for children with higher self-regulation.

Machine learning to predict outcomes following endovascular abdominal aortic aneurysm repair.

Background: Endovascular aneurysm repair (EVAR) for abdominal aortic aneurysm (AAA) carries important perioperative risks; however, there are no widely used outcome prediction tools. The aim of this study was to apply machine learning (ML) to develop automated algorithms that predict 1-year mortality following EVAR.

Methods: The Vascular Quality Initiative database was used to identify patients who underwent elective EVAR for infrarenal AAA between 2003 and 2023.