Longitudinal Measurement Invariance of the Parenting Sense of Competence (PSoC): Evidence to Question Its Use?

Background: This study investigated the factor structure of the parenting sense of competence (PSoC), a measure of parenting self-efficacy, in a sample of parents recruited when their infants were under 2 months old. Due to the lack of longitudinal analysis of the PSoC's factor structure over time, the study sought to establish if the published two-factor structure was consistent over an 18-month period.

Methods: Data collected from 536 parents who had participated in a randomised controlled trial of universal proportionate parenting support, delivered in five sites in England, were subject to confirmatory factor analysis (CFA).

Herbivory and water availability interact to shape the adaptive landscape in the perennial forb, Boechera stricta.

Abiotic and biotic factors interact to influence phenotypic evolution; however, identifying the causal agents of selection that drive the evolution and expression of traits remains challenging. In a field common garden, we manipulated water availability and herbivore abundance across three years, and evaluated clinal variation in functional traits and phenology, plasticity, local adaptation, and selection using diverse accessions of the perennial forb, Boechera stricta. Consistent with expectations, drought stress exacerbated damage from herbivores.

Do executive functions and processing speed mediate the relationship between socioeconomic status and educational achievement? Analysis of an observational birth cohort study.

Background: There are large and persistent social inequalities in children's educational attainment, with children from more socioeconomically disadvantaged families consistently having lower attainment. Despite this being widely reported, the mechanisms underlying the association between socioeconomic disadvantage and educational attainment are not well understood. It is important to understand the potential mechanisms by which socioeconomic disadvantage may impede on educational outcomes, as this knowledge could then be used to help target possible interventions to improve educational outcomes for socioeconomically disadvantaged children.

NCCN Guidelines® Insights: Survivorship, Version 2.2024.

The NCCN Guidelines for Survivorship include recommendations for screening, evaluation, and treatment of psychosocial and physical problems resulting from adult-onset cancer and its treatment. They also include recommendations to promote healthy behaviors and immunizations in survivors and provide a framework for care coordination. These NCCN Guidelines Insights summarize the panel's current recommendations regarding sexual health and fertility.

AI-Driven Prediction of Symptom Trajectories in Cancer Care: A Deep Learning Approach for Chemotherapy Management.

This study presents an advanced method for predicting symptom escalation in chemotherapy patients using Long Short-Term Memory (LSTM) networks and Convolutional Neural Networks (CNNs). The accurate prediction of symptom escalation is critical in cancer care to enable timely interventions and improve symptom management to enhance patients' quality of life during treatment. The analytical dataset consists of daily self-reported symptom logs from chemotherapy patients, including a wide range of symptoms, such as nausea, fatigue, and pain.