Search Results (2)

Objectives: To evaluate the influence of job demands and resources on burnout risk among Italian pediatric neuropsychiatrists. Methods: This cross-sectional study was conducted between December 2023 and February 2024 and involved Italian pediatric neuropsychiatrists. The study applied the Job Demands-Resources (JD-R) model to assess the impact of job demands (such as work–family conflict, time pressure, and job uncertainty) and job resources (like organizational support and perceived job meaning) on burnout. Burnout was measured through emotional exhaustion, depersonalization, and personal accomplishment subscales. Demographic data, including gender and career stage, were analyzed for their association with burnout. Results: High job demands were significantly associated with increased emotional exhaustion and depersonalization, while greater job resources correlated with lower burnout levels and higher personal accomplishment. Gender differences emerged, with female neuropsychiatrists reporting significantly higher emotional exhaustion and lower personal accomplishment than male neuropsychiatrists. Seniority was not a strong predictor, but early-career professionals, particularly residents, exhibited higher susceptibility to emotional exhaustion. Perceived job meaning and organizational support were protective factors across all burnout subscales, buffering the effects of job demands. Conclusions: Burnout risk in Italian pediatric neuropsychiatrists is shaped by both job demands and resources. Addressing work–family conflict, job uncertainty, and time pressure alongside enhancing organizational support and fostering job meaning is crucial to mitigate burnout. Special attention should be given to early-career professionals and female neuropsychiatrists to reduce their emotional exhaustion and improve their well-being. These findings provide valuable insights for developing targeted strategies to improve well-being in this field, ultimately enhancing patient care. Full article

Background. Developmental Language Disorder (DLD) is frequent in childhood and may have long-term sequelae. By employing an evidence-based approach, this scoping review aims at identifying (a) early predictors of DLD; (b) the optimal age range for the use of screening and diagnostic tools; (c) effective diagnostic tools in preschool children. Methods. We considered systematic reviews, meta-analyses, and primary observational studies with control groups on predictive, sensitivity and specificity values of screening and diagnostic tools and psycholinguistic measures for the assessment of DLD in preschool children. We identified 37 studies, consisting of 10 systematic reviews and 27 primary studies. Results. Delay in gesture production, receptive and/or expressive vocabulary, syntactic comprehension, or word combination up to 30 months emerged as early predictors of DLD, a family history of DLD appeared to be a major risk factor, and low socioeconomic status and environmental input were reported as risk factors with lower predictive power. Optimal time for screening is suggested between age 2 and 3, for diagnosis around age 4. Because of the high variability of sensitivity and specificity values, joint use of standardized and psycholinguistic measures is suggested to increase diagnostic accuracy. Conclusions. Monitoring risk situations and employing caregivers’ reports, clinical assessment and multiple linguistic measures are fundamental for an early identification of DLD and timely interventions. Full article