Search Results (2,005)

Background/Objectives: There is a growing need for autism spectrum disorder (ASD) assessment tools that are diagnostically aligned, clinically usable, and accessible across diverse service contexts. The Diagnostic Autism Spectrum Interview—Version 2 (DASI-2) is a freely available, semi-structured clinical interview mapped directly to DSM-5 and ICD-11 criteria. This pilot study aimed to adapt DASI-2 into Hungarian and explore the (1) acceptability of DASI-2 administration, (2) agreement with prior clinical ASD diagnoses, and (3) relationship between DASI-2 observational ratings and ADOS-2 classifications. Methods: Following a multistep translation procedure, DASI-2 was administered to seven children previously assessed for ASD in a multidisciplinary Hungarian clinical setting. The assessment included a parent interview, direct assessment with the child or young person, and completion of the DASI observational record (OR1–OR4). DASI diagnostic outcomes were compared with prior clinical decisions, and OR scores were analyzed in relation to ADOS-2 classifications. Results: All participants completed the DASI-2 interview in full. Agreement with prior clinical diagnosis was found in six of seven cases (κ = 0.70, indicating substantial agreement). When exploring the one non-aligned case, the divergence in diagnostic outcome was due to broader contextual information considered by the initial clinical team which influenced clinical opinion. The five participants diagnosed with ASD showed substantially higher DASI observational scores (mean = 15.26) than the two who were not diagnosed (mean = 1.57), mirroring ADOS-2 severity classifications. Conclusions: These findings support the acceptability and preliminary validity of DASI-2. Its inclusive structured observational record may provide a practical complement to resource-intensive tools such as the ADOS-2; however, further validation in larger and more diverse samples is needed. Full article

Art therapy serves as a crucial intervention modality for children with autism spectrum disorder (ASD), demonstrating unique value in emotional expression, sensory integration, and social communication. However, current practice presents critical challenges, including the disconnect between design expertise and clinical needs, unclear mechanisms of environmental factors’ impact on therapeutic outcomes, and insufficient evidence-based support for technology integration. Purpose: This study aimed to construct an evidence-based theoretical framework for art therapy environment design for children with autism, clarifying the relationship between environmental design elements and therapeutic effectiveness. Methodology: Based on the Web of Science database, this study employed a dual-track approach comprising bibliometric analysis and micro-qualitative content analysis to systematically examine the knowledge structure and developmental trends. Research hotspots were identified through keyword co-occurrence network analysis using CiteSpace, while 24 representative design cases were analyzed to gain insights into design concepts, emerging technologies, and implementation principles. Key Findings: Through keyword network visualization analysis, this study identified ten primary research clusters that were systematically categorized into four core design elements: sensory feedback design, behavioral guidance design, emotional resonance design, and therapeutic support design. A responsive therapeutic environment conceptual framework was proposed, encompassing four interconnected components based on the ABC model from positive psychology: emotional, sensory, environmental, and behavioral dimensions. Evidence-based design principles were established emphasizing child-centeredness, the promotion of multisensory expression, the achievement of dynamic feedback, and appropriate technology integration. Research Contribution: This research establishes theoretical connections between environmental design elements and art therapy effectiveness, providing a systematic design guidance framework for interdisciplinary teams, including environmental designers, clinical practitioners, technology developers, and healthcare administrators. The framework positions technology as a therapeutic mediator rather than a driver, ensuring technological integration supports rather than interferes with children’s natural creative impulses. This contributes to creating more effective environmental spaces for art therapy activities for children with autism while aligning with SDG3 goals for promoting mental health and reducing inequalities in therapeutic access. Full article

Background/Objectives: Maternal overweight and obesity are critical factors increasing the risk of various pregnancy complications. Maternal obesity can lead to fetal macrosomia and a heightened risk of intrauterine death, with long-term implications for the child’s health. This study aimed to analyze the incidence of obesity and its impact on pregnancy outcomes in women who delivered by cesarean section at the University Hospital “St. George”, Plovdiv. Methods: A single-center retrospective cohort study was conducted. The documentary method was used for gathering data. Records were randomly selected. The statistical methods used included mean values, confidence intervals (of mean), frequency, and the Kolmogorov–Smirnov test for normality of distribution. Data comparisons were performed using the Mann–Whitney test. Mean values of numerical variables were compared using the independent samples t-test. Results: In total, 46.36% of women in this study were affected by obesity to varying degrees, and the proportion of women who were overweight at the end of their pregnancy was 37.85%. In the studied cohort, 15.99% of women were affected by hypertensive complications. This significant prevalence of obesity highlights concerns regarding body weight among women of reproductive age. This study emphasized a strong correlation between maternal obesity, particularly severe obesity, and the occurrence of preeclampsia. Conclusions: In this study among women who delivered by cesarean section, a significant proportion of them were affected by overweight and obesity. Data for our country are insufficient, and a more in-depth study of this problem is needed. Future research should explore the long-term impacts of maternal obesity on the health of the mother and the newborn. Full article

Background/Objectives: Urban green space has been increasingly recognized as a determinant of maternal and child health. This study investigated the association between prenatal exposure to different types of green space and the risk of congenital anomalies in South Korea. Methods: We analyzed data from the National Health Insurance Service (N = 142,422). Green space exposure was measured at the area level and categorized into grassland and forest; statistical analysis was performed using generalized estimating equations and generalized additive models to analyze the associations. Additionally, subgroup and sensitivity analyses were performed. Results: GEE analysis showed that a 10% increase in the proportion of grassland in a residential district was associated with a reduced risk of nervous system (adjusted odds ratio [aOR]: 0.77, 95% confidence interval [CI]: 0.63–0.94) and genitourinary system anomalies (aOR: 0.83, 95% CI: 0.71–0.97). The subgroup analysis results showed significance only for male infants, but the difference between the sexes was not significant. In the quartile-based analysis, we found a slightly significant p-value for trend for the effect of forests on digestive system anomalies, but the trend was toward increasing risk. In a sensitivity analysis with different exposure classifications, the overall and nervous system anomalies in built green space showed that the risk decreased as green space increased compared to that in the lowest quartile. Conclusions: Our results highlight the importance of spatial environmental factors during pregnancy and suggest that different types of green spaces differentially impact the offspring’s early health outcomes. This study suggests the need for built environment planning as part of preventive maternal and child health strategies. Full article

Background: Maternal and newborn health disparities remain a challenge in Puerto Rico, especially in underserved communities. Comienzo Saludable Puerto Rico, sponsored by the U.S. Department of Health and Human Services’ Healthy Start Initiative (HRSA), addresses these gaps through an integrated Networks of Care model known as Cuidado Compartido. Comienzo Saludable Puerto Rico is a maternal, paternal, and child health program aimed at improving the health and well-being of pregnant women, mothers, fathers, newborns, and children in Puerto Rico, particularly those from disadvantaged communities. Methods: This paper presents the Comienzo Saludable Puerto Rico program’s Cuidado Compartido model to integrate a network of healthcare providers and services across hospitals, community organizations, and families. This model aims to improve maternal and newborn/child health outcomes by focusing on the importance of integrated, hospital-community-based care networks. Results: Participants experienced significant improvements in key birth outcomes: low birth weight prevalence declined by 27.2% compared to the community baseline, premature birth rates decreased by 30.9%, and infant mortality dropped by 75%, reaching 0% by 2021 and remaining there through 2023. These results were complemented by increases in maternal mental health screening, paternal involvement, and breastfeeding practices. Conclusions: The Cuidado Compartido model demonstrates a scalable, culturally responsive strategy to improve maternal, newborn, and child health outcomes. It offers critical insights for implementation in other high-need contexts. Full article

Background: Artificial intelligence (AI) and machine learning (ML) have been reshaping maternal, fetal, neonatal, and reproductive healthcare by enhancing risk prediction, diagnostic accuracy, and operational efficiency across the perinatal continuum. However, no comprehensive synthesis has yet been published. Objective: To conduct a scoping review of reviews of AI/ML applications spanning reproductive, prenatal, postpartum, neonatal, and early child-development care. Methods: We searched PubMed, Embase, the Cochrane Library, Web of Science, and Scopus through April 2025. Two reviewers independently screened records, extracted data, and assessed methodological quality using AMSTAR 2 for systematic reviews, ROBIS for bias assessment, SANRA for narrative reviews, and JBI guidance for scoping reviews. Results: Thirty-nine reviews met our inclusion criteria. In preconception and fertility treatment, convolutional neural network-based platforms can identify viable embryos and key sperm parameters with over 90 percent accuracy, and machine-learning models can personalize follicle-stimulating hormone regimens to boost mature oocyte yield while reducing overall medication use. Digital sexual-health chatbots have enhanced patient education, pre-exposure prophylaxis adherence, and safer sexual behaviors, although data-privacy safeguards and bias mitigation remain priorities. During pregnancy, advanced deep-learning models can segment fetal anatomy on ultrasound images with more than 90 percent overlap compared to expert annotations and can detect anomalies with sensitivity exceeding 93 percent. Predictive biometric tools can estimate gestational age within one week with accuracy and fetal weight within approximately 190 g. In the postpartum period, AI-driven decision-support systems and conversational agents can facilitate early screening for depression and can guide follow-up care. Wearable sensors enable remote monitoring of maternal blood pressure and heart rate to support timely clinical intervention. Within neonatal care, the Heart Rate Observation (HeRO) system has reduced mortality among very low-birth-weight infants by roughly 20 percent, and additional AI models can predict neonatal sepsis, retinopathy of prematurity, and necrotizing enterocolitis with area-under-the-curve values above 0.80. From an operational standpoint, automated ultrasound workflows deliver biometric measurements at about 14 milliseconds per frame, and dynamic scheduling in IVF laboratories lowers staff workload and per-cycle costs. Home-monitoring platforms for pregnant women are associated with 7–11 percent reductions in maternal mortality and preeclampsia incidence. Despite these advances, most evidence derives from retrospective, single-center studies with limited external validation. Low-resource settings, especially in Sub-Saharan Africa, remain under-represented, and few AI solutions are fully embedded in electronic health records. Conclusions: AI holds transformative promise for perinatal care but will require prospective multicenter validation, equity-centered design, robust governance, transparent fairness audits, and seamless electronic health record integration to translate these innovations into routine practice and improve maternal and neonatal outcomes. Full article

Introduction: Sex-specific differences in psychopharmacological treatment have gained increasing attention in adults, with studies showing that women often have higher serum concentrations of psychotropic drugs due to biological differences. However, despite recognition of these differences in adults, reference ranges for therapeutic drug monitoring (TDM) in general, but even more sex-specific therapeutic windows for psychotropic drugs, are lacking in children and adolescents, who may metabolize and respond to medications differently. Aim: The study aimed to investigate sex-specific differences in antidepressant (AD) and antipsychotic (AP) -treatment outcomes, and pharmacokinetics in childhood/adolescence. In particular, we examined differences in AD and AP serum levels and clinical effects, including adverse drug effects (ADEs) and therapeutic effectiveness. Methods: This study is part of the multicenter “TDM-VIGIL” pharmacovigilance project, which prospectively followed patients aged 6–18 years treated with AD and AP across 18 child psychiatric centers in German-speaking countries from 2014 to 2018. Clinical data, including drug concentrations (AD: fluoxetine, mirtazapine, (es)citalopram, sertraline; AP: aripiprazole, quetiapine, olanzapine, risperidone), were collected using an internet-based registry, and treatment outcomes and ADEs were assessed during routine visits. Statistical analyses were performed to examine sex differences in pharmacokinetics and clinical responses, adjusting for age, weight, and other confounders. Results: A total of 705 patients (66.5% girls, 24.7% <14 years, mean age of 14.6 years) were included. Female patients were slightly older, had lower body weight, and were more often diagnosed with depression and anorexia nervosa, while boys were more frequently diagnosed with hyperkinetic disorders and atypical autism. We found no sex differences in the serum concentrations of investigated drugs when adjusted for age and weight. In fluoxetine treatment in patients diagnosed with mood (affective) disorders, female sex was associated with the probability for very good therapy response (p = 0.04), as well as with moderate treatment response (p = 0.02) compared to no treatment response. Discussion: Our findings suggest that sex may not affect serum levels of investigated AD and AP in children/adolescents. However, treatment outcome of fluoxetine was associated with sex, with higher probability for a better outcome in female patients diagnosed with mood (affective) disorders. Full article

Background/Objectives: Despite the importance of parent mental health for child health, there are no global prevalence data on parental mental health symptoms when children are hospitalized. We aimed to describe depression and anxiety symptom prevalence and associated factors among parents of hospitalized children. Methods: We conducted this 14-country prospective cohort survey with parents/primary caregivers staying at a nearby Ronald McDonald House^® during their child’s hospital treatment. We used the Hospital Anxiety and Depression Scale to measure depression and anxiety symptoms and validated scales and theory-based questions to measure parent, family, and child covariates. We calculated the prevalence of clinically significant or concerning symptoms of depression and anxiety, and used multivariable regression analyses to examine associations between covariates and outcomes. Results: Among 3350 participants, 1789 (49.7%) reported depression symptoms and 2286 (69.0%) reported anxiety symptoms. Worry about housing and poorer ratings of their child’s health were associated with increased risk of depression symptoms. Poorer rating of the child’s health, living with a partner, and discrimination in daily life were associated with increased risk of anxiety symptoms. Higher levels of self-care, hospital family-centered care, and social support were associated with reduced risk of depression symptoms. Higher levels of self-care and social support were associated with reduced risk of anxiety symptoms. Conclusions: Clinically significant or concerning depression and anxiety symptoms are common among parents of hospitalized children globally. Hospitals should consider offering routine mental health symptom screening and preventative mental health and support services to all parents. Full article

Background/Objectives: The transjugular intrahepatic portosystemic shunt (TIPS) is an established treatment for complications of portal hypertension in patients with liver cirrhosis. While its use has increased and indications have broadened in recent years, recent comprehensive data on patient characteristics, trends, and in-hospital mortality in Germany are lacking. This study aimed to evaluate current clinical patterns and mortality outcomes associated with TIPS. Methods: This nationwide cross-sectional study used anonymized hospital data from the German InEK database between 2019 and 2023. TIPS procedures were identified using relevant OPS codes. Patient demographics, liver cirrhosis stage (Child–Pugh), hepatic encephalopathy grade, comorbid conditions, and in-hospital mortality were analyzed descriptively. Analyses were conducted using SAS 9.4. Results: A total of 12,905 TIPS procedures were documented. Annual case numbers rose from 2180 in 2019 to 2954 in 2023. Most patients were male (66.3%) and aged 60–74 years. Ascites (68.6%) was the most frequent associated diagnosis, followed by variceal bleeding (16.4%) and hepatorenal syndrome (14.9%). The average hospital stay decreased from 19.6 to 16.8 days. Overall in-hospital mortality was 8.5%, increasing with age (13.0% in ≥75 years), Child–Pugh C cirrhosis (14.9%), PCCL grade 4 (17.6%), hepatorenal syndrome (16.7%), and grade 4 hepatic encephalopathy (56.1%). Conclusions: TIPS usage in Germany has increased over the past five years, with a shift toward earlier disease stages. Higher in-hospital mortality in clinically complex patients underscores the importance of careful patient selection and tailored management strategies in high-risk groups. Full article

Background: Prematurity and low birth weight (LBW) drive infant morbidity and mortality, requiring nutritional interventions, especially in food-insecure settings. In Indonesia, regional disparities in food security hinder adequate nutrition for premature and LBW infants, exacerbating health challenges. The aim of study is to investigate and determine factors associated with prematurity and LBW in children from food-insecure and food-secure households. Methods: This research employed a cross-sectional study with 657 mothers of children aged 36–59 months, conducted using random sampling. Data was collected via standardized questionnaires and analyzed using Chi-square tests and logistic regression. Results: The adjusted model showed that children of food-insecure households had a higher risk of LBW (AOR = 0.54; 95% CI: 0.29–0.99; p < 0.05). LBWs were found to significantly less occur in food-insecure households. Low maternal education was associated with an increased risk of preterm birth (AOR = 3.23; 95% CI:1.78–5.84; p < 0.001). Furthermore, prematurity correlated with house ownership (p < 0.01), indicating the household’s wealth condition. Maternal education and house ownership were linked to prematurity, indicating the risk to child health outcomes. In summary, maternal education, employment status, and household income were linked to food insecurity, indicating the risk to child health outcomes. Conclusion: Strategies to improve child health outcomes are essential, including enhancing maternal nutrition knowledge to improve child feeding practices, promoting gender equality in career development, and reducing food insecurity in households. Full article

Background/Objectives: Communication disorders in childhood, including expressive, receptive, pragmatic, and fluency impairments, have been consistently linked to mental health challenges such as anxiety, depression, and behavioural difficulties. However, existing research remains fragmented across diagnostic categories and developmental stages. This scoping review aimed to synthesise empirical evidence on the relationship between communication disorders and mental health outcomes in children and adolescents and to identify key patterns and implications for practice and policy. Methods: Following the PRISMA Extension for Scoping Reviews (PRISMA-ScR) and Arksey and O’Malley’s framework, this review included empirical studies published in English between 2000 and 2024. Five databases were searched, and ten studies met the inclusion criteria. Data were charted and thematically analysed to explore associations across communication profiles and emotional–behavioural outcomes. Results: Four interconnected themes were identified: (1) emotional and behavioural manifestations of communication disorders; (2) social burden linked to pragmatic and expressive difficulties; (3) family and environmental stressors exacerbating child-level challenges; and (4) a lack of integrated care models addressing both communication and mental health needs. The findings highlight that communication disorders frequently co-occur with emotional difficulties, often embedded within broader social and systemic contexts. Conclusions: This review underscores the need for developmentally informed, culturally responsive, and interdisciplinary service models that address both communication and mental health in children. Early identification, family-centred care, and policy reforms are critical to reducing inequities and improving outcomes for this underserved population. Full article

Background: Chronic primary orofacial pain (COFP) affects approximately 7% of the population and often leads to reduced quality of life. Patients frequently undergo multiple assessments and treatments across healthcare disciplines, often without a definitive diagnosis. The 2019 ICD-11 classification of chronic primary pain clusters together COFP subtypes based on chronicity and associated functional and emotional impairment. Objective: This study aimed to evaluate whether these subtypes of COFP share common underlying mechanisms by comparing neuroimaging findings. Methods: A systematic review was conducted in accordance with PRISMA guidelines. Searches were performed using Medline (OVID) and Scopus up to April 2025. Inclusion criteria focused on MRI-based neuroimaging studies of participants diagnosed with COFP subtypes. Data extraction included participant demographics, imaging modality, brain regions affected, and pain assessment tools. Quality assessment used a modified Coleman methodological score. Results: Fourteen studies met the inclusion criteria, all utilising MRI and including two COFP subtypes (temporomandibular disorder and burning mouth syndrome). Resting- and task-state imaging revealed overlapping alterations in several brain regions, including the thalamus, somatosensory cortices (S1, S2), cingulate cortex, insula, prefrontal cortex, basal ganglia, medial temporal lobe, and primary motor area. These changes were consistent across both TMD and BMS populations. Conclusions: The findings suggest that chronic primary orofacial pain conditions (TMD and BMS) may share common central neuroplastic changes, supporting the hypothesis of a unified pathophysiological mechanism. This has implications for improving diagnosis and treatment strategies, potentially leading to more targeted and effective care for these patients. Full article

Maternal mental illness significantly impacts caregiving, influencing both mothers and their children. This narrative review examines the challenges faced by mothers with conditions such as depression, anxiety, bipolar disorder, and schizophrenia, which often disrupt caregiving routines, emotional stability, and social integration. These difficulties can hinder secure attachments and contribute to adverse developmental outcomes in children, including heightened risks of anxiety, depression, behavioral issues, and cognitive impairments. Children of mothers with mental illnesses are 1.8 times more likely to develop emotional or behavioral problems and face a 2.7 times higher risk of suicidal ideation during adolescence. Intergenerational transmission of mental illness is also prevalent, with affected children showing a 2.5 times greater likelihood of developing mental illnesses in adulthood. Effective interventions include cognitive behavioral therapy (CBT), family-based approaches, and community programs integrating parenting education and mental health resources. These strategies have demonstrated improvements in maternal well-being and child resilience. The review highlights the need for comprehensive policies addressing maternal mental health, early intervention for children, and culturally sensitive support systems to break cycles of intergenerational mental illness. Future research should prioritize evaluating long-term intervention effectiveness and exploring innovative tools like digital mental illnesses solutions to support affected families. Full article

Introduction: It is widely acknowledged that good quality relationships between social workers and children are essential to children’s non-formal inclusion in child protection processes. However, research exploring the perspective of children has shown this relationship to be highly complex, particularly when children are taken into care. Methods: This paper combines insights from two qualitative participatory studies conducted in Italy, both developed out of a collaboration between university, professional social work associations, and the Italian association of care leavers. The two projects explored, respectively, the perspectives of social workers on the one hand and of children in care and care leavers on the other regarding their relationship. Outcomes: The data reveal the complexity of the relationship between children and social workers, showing how both share a mirrored perception of it. Social workers recognise children’s negative feelings toward them and see them as inevitable, especially in cases of tense family dynamics. A relationship marked by hostile attitudes, anger, and distrust not only fuels social workers’ emotional struggles but also makes it harder to engage children effectively. While hostile attitudes and mistrust are often seen as obstacles to positive engagement, we advocate for recognising them not as barriers to be overcome but as realities to be acknowledged and addressed openly. This approach can create space for both children and practitioners to explore alternative forms of agency, fostering more meaningful participation. Full article

Background/Objectives: The COVID-19 pandemic introduced various stressors for families, including changes to daily routines, work, and schooling. Studies have linked these stressors to increased mental health challenges for parents and children. Sleep difficulties were also common during the pandemic, with some children and parents experiencing poorer sleep quality and shorter sleep duration. However, it remains unclear whether the effects of COVID-19 stress on mental health challenges are explained, at least in part, by effects of COVID-19 stress on child and/or parent sleep challenges. This study examined the impacts of COVID-19 stress on sleep and, in turn, mental health difficulties in school-aged children and their parents in Canada and the United States. Methods: Parents (N = 961) completed validated measures of COVID-19 stress, and of their own and their child’s sleep and mental health. Path analyses tested direct and indirect effects of COVID-19 stress on mental health outcomes with sleep problems as the potential mediator. Results: Child sleep problems partially mediated COVID-19 stress effects on both parent (β = 0.33) and child (β = 0.20) mental health difficulties, while parent sleep problems contributed significantly but to a lesser degree (parent mental health: β = 0.07; child mental health: β = 0.03). There also remained significant direct effects of COVID-19 stress on both child and parent mental health difficulties that were not mediated through sleep difficulties. Conclusions: Our findings underscore the interconnected nature of sleep and mental health, demonstrating that stress-related disruptions in sleep (particularly children’s sleep) can exacerbate mental health difficulties for both parents and children during crises like the COVID-19 pandemic. Full article