Search Results (215)

Prosocial behavior is an important manifestation of socialization in young children. As the primary setting for socialization of young children, the family bears the significant responsibility of fostering prosocial behavior in young children. Drawing on family systems theory and Goleman’s emotional intelligence theory, the purpose of this study was to investigate the relationship between parenting styles and children’s prosocial behavior and the mediating role of children’s emotional intelligence in it. In this study, an online questionnaire was distributed to 869 young children’s parents using the Parenting Style Questionnaire, Children’s Prosocial Behavior Questionnaire, and Children’s Emotional Intelligence Questionnaire. The results indicated that democratic parenting style positively influenced children’s prosocial behavior, while indulgent parenting style, permissive parenting style and inconsistent parenting style negatively impacted it. Authoritarian parenting style had no significant effect on children’s prosocial behavior. Children’s emotional intelligence mediated the relationship between parenting styles and prosocial behavior. This study explored factors influencing children’s prosocial behavior from both external family systems and internal individual perspectives and revealed their underlying mechanisms, providing theoretical support for research and educational practice on children’s prosocial behavior. Full article

Detecting fake news is essential in natural language processing to verify news authenticity and prevent misinformation-driven social, political, and economic disruptions targeting specific groups. A major challenge in multimodal fake news detection is effectively integrating textual and visual modalities, as semantic gaps and contextual variations between images and text complicate alignment, interpretation, and the detection of subtle or blatant inconsistencies. To enhance accuracy in fake news detection, this article introduces an ensemble-based framework that integrates textual and visual data using ViLBERT’s two-stream architecture, incorporates VADER sentiment analysis to detect emotional language, and uses Image–Text Contextual Similarity to identify mismatches between visual and textual elements. These features are processed through the Bi-GRU classifier, Transformer-XL, DistilBERT, and XLNet, combined via a stacked ensemble method with soft voting, culminating in a T5 metaclassifier that predicts the outcome for robustness. Results on the Fakeddit and Weibo benchmarking datasets show that our method outperforms state-of-the-art models, achieving up to 96% and 94% accuracy in fake news detection, respectively. This study highlights the necessity for advanced multimodal fake news detection systems to address the increasing complexity of misinformation and offers a promising solution. Full article

Climate change is the greatest health threat of the 21st century, with healthcare contributing approximately 4–5% of global greenhouse gas emissions. Decarbonising healthcare, the deliberate reduction of emissions across all healthcare activities, is essential to reduce the health sector’s environmental impact while maintaining equitable, high-quality care. Preparing future health professionals for sustainable, low-carbon practice is increasingly recognised as critical; however, education on healthcare decarbonisation remains inconsistent and weakly embedded in curricula. This scoping review mapped existing educational resources for pre-registration health profession students. Following the JBI methodology, six databases (Scopus, Web of Science, MEDLINE, CINAHL, PsycINFO, and GreenFILE) were searched in April 2025 (updated in October 2025). Data were thematically analysed. In total, 32 studies met inclusion criteria, comprising 17 mixed-methods, 11 quantitative, and 4 qualitative designs. Most interventions were multimodal, addressing sustainability or climate change through simulation, digital, formal, or didactic methods. Knowledge and attitudes were the most frequently evaluated outcomes. Thematic analysis identified knowledge and awareness, attitudes and emotional responses, behavioural intent and action, identity formation through collaborative learning, and barriers to decarbonisation. Findings suggest that blended, interactive, and technology-enhanced education improves knowledge, attitudes, and identity, but sustained impact requires longitudinal, skills-based, and policy-aligned interventions to drive meaningful healthcare decarbonisation action. Full article

Background/Objectives: Children born small for gestational age (SGA) are at increased risk for impaired growth, metabolic disturbances, and neurodevelopmental difficulties. Although previous research has examined cognitive and behavioral outcomes in this population, findings remain inconsistent. Moreover, limited evidence is available regarding the potential effects of recombinant human growth hormone (rhGH) therapy on cognitive development. We aimed to assess cognitive performance, emotional–behavioral functioning, and neonatal predictors of neurocognitive outcomes in term SGA children compared with age- and sex-matched peers born appropriate for gestational age (AGA). We also explored potential differences in cognitive outcomes between rhGH-treated and untreated SGA children. Methods: A total of 18 term SGA children and 23 AGA controls underwent anthropometric measurements, biochemical evaluation, cognitive testing using the Wechsler Intelligence Scale for Children—Fourth Edition (WISC-IV), and behavioral assessment through the Child Behavior Checklist (CBCL). Birth weight, length, and head circumference were analyzed as potential predictors of cognitive performance. Results: SGA children demonstrated significantly lower Intelligence Quotient (IQ) scores than AGA peers, with marked weaknesses in Perceptual Reasoning index (PRI) and Processing Speed index (PSI), while Verbal Comprehension and Working Memory were preserved. They also exhibited higher internalizing behavioral symptoms, whereas externalizing behaviors did not differ between groups. Birth head circumference emerged as a strong predictor of PRI and a modest predictor of PSI. No associations were found between rhGH treatment parameters and cognitive outcomes. Larger longitudinal studies are needed to clarify how early growth restriction affects brain development and cognition and whether GH therapy influences these processes. Full article

Introduction: Low vision affects more than visual acuity; it substantially disrupts daily functioning and may contribute to long-term cognitive, emotional, and social consequences. When medical or surgical treatment options are no longer effective, structured low-vision rehabilitation becomes essential, providing strategies and tools that support functional adaptation and promote independence. This review aims to map the current outcomes of rehabilitation services, identify gaps in existing research, and highlight opportunities for further study. Methods: An article search was conducted via PubMed, Scopus, PsycInfo, and Google Scholar. Then, title, abstract, and full-text screenings for inclusion were performed by all the authors independently, and disagreements were resolved through discussion. The relevant outcomes from the eligible publications were extracted by four authors and then cross-checked by the other authors. The results are presented via the Preferred Reporting Items for Systematic Reviews and Meta-analysis extension for Scoping Reviews checklist. Results: A total of 13 studies met the inclusion criteria. Most were randomized controlled trials (n = 10,77%), with the majority conducted in the United States and the United Kingdom. Study populations consisted of adults aged 18 years and older. Across the included studies, low-vision rehabilitation interventions particularly visual training, magnification-based programs, and multidisciplinary approaches, were associated with significant improvements in visual function, activities of daily living, and vision-related quality of life. Conclusions: Low vision rehabilitation interventions demonstrate clear benefits for visual acuity, contrast sensitivity, reading speed, and functional independence. However, substantial gaps remain, including limited evidence on long-term outcomes, inconsistent assessment of psychosocial influences, and underrepresentation of diverse populations. Standardized outcome measures and long-term, inclusive research designs are needed to better understand the sustained and equitable impact of low-vision rehabilitation. Full article

Background: Although parenting interventions are effective in improving parenting practices and child development, most are developed within Western cultural frameworks that may not align with South Asian collectivist values and family structures. The extent to which cultural adaptation influences the effectiveness of parenting interventions in South Asian populations remains unclear. Aim: To systematically review the effectiveness of parenting interventions on child developmental outcomes, parenting outcomes, and parental health among South Asian families, and to examine whether the depth of cultural adaptation, assessed using Bernal’s Ecological Validity Model (EVM), is associated with intervention effectiveness. Methods: A systematic review and meta-analysis were conducted. We systematically searched CINAHL, MEDLINE, Science Direct, PsychINFO, PubMed, and Cochrane library. Data were extracted from six electronic databases up to August 2023. Quality and risk of bias were appraised using the Revised Cochrane Risk of Bias Tool for Randomized Trials for the quantitative studies and the Critical Appraisal Skill Program (CASP) checklist for the qualitative studies. Results: Seventeen studies (fifteen quantitative, two qualitative) involving 8088 participants were included; ten studies contributed data to meta-analysis. Parenting interventions were associated with moderate improvements in parenting knowledge (SMD = 0.51, 95% CI 0.25 to 0.76) and small improvements in parental involvement (SMD = 0.36, 95% CI 0.00 to 0.72). Significant reductions in parental depression (SMD = −0.77, 95% CI −1.20 to −0.34) and disability symptoms (SMD = 0.82, 95% CI 0.68 to 0.96) were observed, though effects on post-natal depression (SMD = 0.15, 95% CI −1.00 to 1.30) and physical quality of life (SMD = −0.27, 95% CI −1.22 to 1.75) were non-significant. For children, large improvements were found in cognitive (SMD = 0.84–1.48), language (SMD = 0.79, 95% CI 0.25 to 1.33), and social development (SMD = 0.54, 95% CI 0.16 to 0.91), but not in emotional or motor development. Sensitivity analyses indicated larger effects for studies demonstrating deeper cultural adaptation. Qualitative findings highlighted maternal empowerment, improved mental wellbeing, and the importance of family support and culturally congruent facilitators for engagement. Overall certainty of evidence was rated as low due to high heterogeneity, risk of bias, and imprecision. Discussion: Culturally adapted parenting interventions show promising benefits for parenting practices, parental mental health, and child developmental outcomes among South Asian families, particularly when adaptations extend beyond surface-level changes. However, evidence quality is low and inconsistent, highlighting the need for more rigorous trials and clearer reporting of cultural adaptation to optimize effectiveness. Full article

Background/Objectives: Home care plays a crucial role in contemporary healthcare systems, particularly in the long-term care of people with chronic and progressive illnesses. Family caregivers often experience substantial physical, emotional, and organizational burden. Telemedicine and digital health applications have the potential to support home care by improving health monitoring, communication, and care coordination. However, their use among family caregivers remains inconsistent, and little is known about how organizational support structures such as telemedicine centers influence acceptance and everyday use. This study aims to examine the benefits of telemedicine in home care and to evaluate the role of telemedicine centers as supportive infrastructures for family caregivers. Methods: A mixed-methods design was applied. Quantitative data were collected through an online survey of 58 family caregivers to assess the use of telemedicine and digital health applications, perceived benefits, barriers, and support needs. This was complemented by an in-depth qualitative case study exploring everyday caregiving experiences with telemedicine technologies and telemedicine center support. A systematic literature review informed the theoretical framework and the development of the empirical instruments. Results: Most respondents reported not using telemedicine or digital health applications in home care. Among users, telemedicine was associated with perceived improvements in quality of care, particularly through enhanced health monitoring, improved communication with healthcare professionals, and increased feelings of safety and control. Key barriers to adoption included technical complexity, data protection concerns, and limited digital literacy. Both quantitative findings and the qualitative case study highlighted the importance of structured support. Telemedicine centers were perceived as highly beneficial, providing technical assistance, training, coordination, and ongoing guidance that facilitated technology acceptance and sustained use. Conclusions: Telemedicine and digital health applications can meaningfully support home care and reduce caregiver burden when they are embedded in supportive socio-technical structures. Telemedicine centers can function as central points of contact that enhance usability, trust, and continuity of care. The findings suggest that successful implementation of telemedicine in home care requires not only technological solutions but also accessible organizational support and targeted training for family caregivers. Full article

Background: In recent decades, interest has grown in the link between lipid metabolism and mental health. Omega-3 fatty acids (EPA and DHA) play a crucial role in brain function, neuroplasticity, and emotional regulation. Deficiency or an imbalanced omega-6/omega-3 ratio, typical of Western diets, has been associated with an increased risk of mood disorders, such as major depression and bipolar disorder. Objective: This review critically synthesizes neurobiological and clinical evidence on the role of omega-3s in mood disorders, assessing mechanisms, randomized controlled trials, and meta-analyses, with a focus on inflammatory biomarkers and their integration into a personalized psychiatry framework. Methods: A narrative review of epidemiological studies, randomized controlled trials (RCTs), meta-analyses, and experimental research was conducted, evaluating mechanistic pathways (synaptic, inflammatory, neuroplastic, and redox) and clinical moderators (particularly inflammatory markers and dietary lipid profiles). Results: Consistent evidence indicates that EPA-enriched formulations (≥60%) exert antidepressant effects, particularly in patients with elevated inflammatory markers (CRP, IL-6, TNF-α). In contrast, DHA-only preparations show limited efficacy, and outcomes vary depending on dietary omega-6/omega-3 balance. However, the literature remains heterogeneous in design, sample size, and biomarker stratification, which limits generalizability and contributes to conflicting findings across studies. Conclusions: While omega-3 fatty acids represent promising adjunctive interventions for mood disorders, methodological weaknesses and inconsistent formulations hinder definitive conclusions. Future research should prioritize biomarker-guided, precision-based approaches to clarify therapeutic efficacy and optimize clinical use. Full article

Traditional recommendation systems are largely built upon the “rational-agent” assumption, representing user preferences as static numerical vectors while neglecting the pivotal role of emotions in decision-making. However, according to the dual-system theory in cognitive psychology, human decisions are jointly governed by two interacting subsystems: a rational system responsible for deliberate reasoning and an affective system driven by emotion and intuition. Conflicts between these two systems often lead to inconsistencies between users’ preferences and emotional experiences in real-world recommendation scenarios. To address this challenge, we propose an Emotion-Enhanced Dual-Agent Collaborative Framework (EDACF) that explicitly models and leverages cognitive conflicts between users’ emotional experiences and rational preferences. EDACF introduces user and item agents equipped with separate natural language memories for preference, emotion, and conflict representations, enabling cognitive-level reasoning beyond static numerical modeling. The framework features three key innovations: (1) a conflict detection mechanism that identifies users’ cognitive inconsistency states; (2) a dual-memory update strategy that maintains preference stability while capturing emotional dynamics; and (3) an adaptive reasoning mechanism that adjusts decision weights based on detected conflicts. Extensive experiments demonstrate that EDACF outperforms state-of-the-art baselines by 9.9% in NDCG@10 and 13.1% in MRR@10, with improvements exceeding 32% among user groups with high conflict. These results highlight a paradigm shift in recommendation systems from behavior prediction toward cognitive-level understanding of user decision processes. Full article

Background/Objective: The use of Large Language Models (LLMs) has recently gained significant interest from the research community toward the development and adoption of Generative Artificial Intelligence (GenAI) solutions for healthcare. The present work introduces the first meta-review (i.e., review of systematic reviews) in the field of LLMs for chronic diseases, focusing particularly on cardiovascular, cancer, and mental diseases, to identify their value in patient care, and challenges for their implementation and clinical application. Methods: A literature search in the bibliographic databases of PubMed and Scopus was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, to identify systematic reviews incorporating LLMs. The original studies included in the reviews were synthesized according to their target disease, specific application, LLMs used, data sources, accuracy, and key outcomes. Results: The literature search identified 5 systematic reviews respecting our inclusion and exclusion criteria, which examined 81 unique LLM-based solutions. The highest percentage of the solutions targeted mental disease (86%), followed by cancer (7%) and cardiovascular disease (6%), implying a large research focus in mental health. Generative Pre-trained Transformer (GPT)-family models were used most frequently (~55%), followed by Bidirectional Encoder Representations from Transformers (BERT) variants (~40%). Key application areas included depression detection and classification (38%), suicidal ideation detection (7%), question answering based on treatment guidelines and recommendations (7%), and emotion classification (5%). Study aims and designs were highly heterogeneous, and methodological quality was generally moderate with frequent risk-of-bias concerns. Reported performance varied widely across domains and datasets, and many evaluations relied on fictional vignettes or non-representative data, limiting generalisability. The most significant found challenges in the development and evaluation of LLMs include inconsistent accuracy, bias detection and mitigation, model transparency, data privacy, need for continual human oversight, ethical concerns and guidelines, as well as the design and conduction of high-quality studies. Conclusions: While LLMs show promise for screening, triage, decision support, and patient education—particularly in mental health—the current literature is descriptive and constrained by data, transparency, and safety gaps. We recommend prioritizing rigorous real-world evaluations, diverse benchmark datasets, bias-auditing, and governance frameworks before LLM clinical deployment and large adoption. Full article

Background/Objectives: Sepsis survivors frequently experience long-term complications known as Post-Sepsis Syndrome. Many survivors and their relatives express ongoing dissatisfaction with the quality and accessibility of health information. Yet the specific informational needs and preferred formats remain insufficiently defined. To identify the informational needs of sepsis survivors and their relatives across different stages of illness and recovery. Methods: This qualitative study, conducted within the AVENIR project, included semi-structured telephone interviews with 12 survivors and 6 relatives in Germany. Interviews were transcribed verbatim and analyzed using qualitative content analysis according to Mayring. Results: Eighteen interviews highlighted phase-specific gaps in information. Relatives reported urgent needs for timely, comprehensible and empathetic communication during the ICU phase, often while under decision pressure. Survivors described limited capacity to process information during the acute phase and sought orientation only after cognitive and emotional stabilization. After discharge, both groups reported an “information vacuum”, marked by insufficient guidance on long-term physical and psychological consequences, rehabilitation, vaccination, and follow-up care. Many participants received no informational material, or only general or inconsistent information. Desired content emphasized basic sepsis knowledge, explanations of persistent symptoms, practical coping strategies, and navigation of support services. Preferred formats included peer support and repeated, personal conversations with healthcare professionals, complemented by trusted online and printed resources. Conclusions: Sepsis survivors and relatives experience notable, role- and phase-specific information deficits that extend from the ICU into long-term recovery. Timely, reliable, and accessible information may help reduce uncertainty, support coping, and strengthen autonomy for both survivors and relatives. Full article

Background: Worldwide, cancer is a leading cause of morbidity and mortality, with symptoms of pain and emotional distress, associated with the disease and its treatment. Art therapy and art making are promising adjuncts to pharmacotherapy for these symptoms. However, current studies do not support replacing pharmacotherapy with these methods. Research Question: Is there evidence supporting the use of art therapy and/or art making interventions for managing cancer-related pain (primary outcome) and emotional distress (secondary outcome) among adult cancer survivors, during and following active treatment? Methods: We searched six databases, including PubMed, CINAHL, Scopus, ProQuest (library’s version), and Google Scholar, using the search terms “cancer pain” AND “art therapy” OR “art making.” Inclusion criteria included English language, peer-reviewed studies, on adult cancer survivors. The search yielded 1305 results, with 23 meeting the inclusion criteria. Because emotional distress was frequently discussed in the context of cancer-related pain in the included studies, it was added as a secondary outcome. Results: The efficacy of art therapy/art making to manage cancer-related pain and emotional distress was difficult to determine due to the heterogeneity of study designs and interventions. Of the studies reviewed in which pain was a primary outcome, eight found significant pain reductions, three found small or no effects, and three reviews described art making as a non-verbal method of communicating about pain, but did not address changes in pain levels. The terms “art therapy” and “art making” were sometimes used interchangeably. The choice of therapeutic approach was sometimes financially driven, and was also impacted by the availability of certified art therapists. Discussion: Methodological shortcomings of the existing research include small sample sizes, lack of standardized intervention protocols, and inconsistent outcome measures, underscoring the need for more rigorous and generalizable studies. Future research should consider neuroimaging evidence linking aesthetic experiences with activation of the brain’s “reward network” by utilizing fMRI to study brain activity during art therapy and art making interventions. Full article

Background/Objectives: Community health workers (CHWs) play a critical role in advancing health equity by bridging gaps in care for underserved populations. However, limited institutional support, inconsistent training, and lack of integration contribute to high rates of burnout. The Lunch and Learn program was launched in Maryland in fall 2023 as a virtual continuing education and peer-support initiative designed to foster professional development, enhance connections among CHWs, and align with Maryland state CHW certification requirements. This article describes the program’s first year of implementation as a proof-of-concept and model for scalable CHW workforce support. Methods: The program offered twice-monthly, one-hour virtual sessions that included expert-led presentations, Q&A discussions, and dedicated peer-support time. Participant engagement was assessed using attendance metrics, post-session surveys, and annual feedback forms to identify trends in participation, learning outcomes, and evolving professional priorities. Results: Participation increased over time with the program’s listserv expanding from 29 to 118 members and average session attendance more than doubling. CHWs highlighted the program’s value in meeting both educational and emotional support needs. Conclusions: The Lunch and Learn program demonstrates a promising model for addressing burnout through education and community connection. As an adaptable, CHW-informed initiative, it supports both professional growth and well-being. Ongoing development will focus on expanding access, incorporating experiential learning assessments, and advocating for sustainable funding to ensure long-term program impact and CHW workforce stability. Full article

Background: Attention-Deficit/Hyperactivity Disorder (ADHD) in adults is frequently accompanied by psychiatric comorbidities that worsen outcomes and complicate treatment. Pharmacological management is central in care, yet its impact on co-occurring disorders remains uncertain. This systematic review evaluated the effectiveness of commonly prescribed medications for adult ADHD (methylphenidate, atomoxetine, bupropion, and lisdexamfetamine) on comorbid mood, anxiety, personality, and substance use disorders. Tricyclic antidepressants were also included in the search strategy; however, no eligible adult studies assessing imipramine or desipramine in patients with ADHD and psychiatric comorbidity were identified. Methods: A systematic search of the literature was conducted to identify studies examining these medications in adults with ADHD and at least one psychiatric comorbidity. Eligible studies reported clinical outcomes for both ADHD symptoms and the co-occurring disorder. Data were extracted and narratively synthesized, with particular attention paid to treatment effects and sources of heterogeneity. Results: Across the included studies, pharmacological treatments consistently improved core ADHD symptomatology. Their effects on psychiatric comorbidity were more variable. Some evidence suggested beneficial outcomes for selected anxiety disorder subtypes and for features of Cluster B personality disorders, possibly related to reductions in emotional dysregulation and impulsivity. Findings regarding substance use disorders were mixed: several studies reported reduced craving or substance use, but long-term stabilization was inconsistent. Marked heterogeneity in study design, populations, and outcome measures limited comparability. Conclusions: Current pharmacological treatments for adult ADHD show reliable efficacy for core symptoms but inconsistent benefits across comorbid psychiatric conditions. While targeted improvements may occur in specific domains, the evidence base is insufficient to define optimal long-term strategies for adults with ADHD and complex comorbidity. Rigorous, longitudinal studies are needed to clarify medication effects on distinct comorbid profiles and to inform integrated treatment planning. Full article

Background/Objectives: Emotional eating can pose a significant threat to one’s health as it can be a predictor of eating disorders. It involves eating in response to emotional distress rather than physical hunger and is widely associated with insecure attachment patterns. However, it remains unclear whether this relationship is consistent across cultures and in the general population. This review aimed to examine the relationship between different conceptualizations of attachment and emotional eating in non-clinical adolescent and adult populations. Methods: Nineteen eligible studies were identified through searches of five databases, including ProQuest, Scopus, Google Scholar, PubMed, and ProQuest Dissertations and Theses Global (PQDT), which covers peer-reviewed literature published between 1990 and 2025. Both quantitative and qualitative studies were included, spanning attachment styles, representations, and states. Results: The findings consistently revealed that general secure attachment styles are associated with lower levels of EE. In comparison, insecure–anxious and disorganized attachment styles are positively associated with higher EE levels. In contrast, avoidant attachment showed a weak or inconsistent association. Mediators such as difficulties with emotion regulation, perceived hunger, and body dissatisfaction were frequently identified, and stress emerged as a relevant moderator. Notably, attachment to specific figures (e.g., romantic partners versus caregivers) and cultural context were poorly addressed, which may influence the strength and consistency of the associations. The review also highlights conceptual gaps in the literature, including a limited focus on early attachment representations, context-specific attachment scripts, and the cultural validity of these concepts. Most studies were cross-sectional and conducted in Western contexts, which limited their causal interpretation and generalizability. Conclusions: These findings underscore the importance of attachment-based frameworks in understanding and preventing EE. They suggest the necessity to conduct further studies that are more nuanced, longitudinal, culturally diverse, and that consider sex and pubertal changes for a better understanding of the relationship between attachment and EE. This review contributes to prevention efforts and global health strategies by addressing the relational and emotional determinants of unhealthy eating behaviors in the general population. Full article