Search Results (12,471)

There is a high rate of morbidity and considerable functional dependence in older adults, requiring care from informal caregivers. Person-centered care is a personalized approach that meets the person’s needs, taking their context into account. Objectives: Our aim was to assess the available evidence on Person-Centered Health Intervention Programs (PCHCIPs) in a home setting among older adults with multimorbidity and their informal caregivers, namely regarding their main characteristics and respective health outcomes. Methods: A systematic literature review was conducted in accordance with the PRISMA guidelines. Bibliographic searches were performed in five databases (CINAHL, MEDLINE, MedicLatina, Scopus, and Psychology and Behavioral Sciences Collection) in November 2024, including studies published between January 2014 and November 2024. Inclusion criteria: Randomized Controlled Trials of person-centered health intervention programs delivered to older adults and their caregivers in home care settings, and scientific articles published betweeen 2014 and 2024. The review protocol was registered in PROSPERO (registration number: CRD42022303687. Results: Twelve articles were included (n = 12). The PCHCIPs provides psychoeducational training and empowerment with physical, psychological, and social interventions that result in health outcomes for the dependent older adults (decreased health-related events and increased social involvement), for the caregiver (improved QoL, reduced burden), and for both participants (increased life satisfaction and reduced costs in health). Conclusions: PCHCIPs covering different areas of intervention (physical, psychosocial and economic) demonstrate positive health outcomes for older adults and their caregivers. It is important to explore more programs that encompass both participants. Full article

Multilingual research offers a unique window into the diverse developmental trajectories of language and cognition; yet this research has largely been built on a monolingual framework. Here, we first describe how a monolingual bias has limited theory construction and research on the multilingual experience. We then apply a developmental systems framework to understand the multilingual experience, shifting the field away from a monolingual bias toward centering the lived language experiences of multilingual children. At the center of our framework are the moment-to-moment, multimodal, and dynamic interactions between children, their social partners, and environment. Contributing to interaction dynamics are child and social partner characteristics (cognition, motivation, and experiences), as well as contextual factors (activities, places, and policies) that can shape multilingual exposure. Cultural practices, values, and beliefs, as well as developmental time at the micro level (seconds, hours, days) and the macro level (weeks, months, and years), permeate all levels of the framework. Our proposal reveals important avenues of future research, including (1) understanding the dynamic coordination of multimodal behaviors and languages within interactions, (2) how experiences specific to minoritized communities (e.g., language discrimination) shape interaction dynamics, (3) how the temporal patterns of language experience at the micro level contribute to long-term multilingual exposure, and (4) understanding experiences of different multilingual communities within and across communities. Use of this framework can advance knowledge of the contexts enriching multilingual experiences and reconstruct multilingual development research for the benefit of multilingual learners. Full article

Challenging behaviors, including noncompliance, aggression, hyperactivity, and impulsivity, are common among individuals with Fragile X Syndrome (FXS) and Down Syndrome (DS). To identify treatment needs specific to these populations, we conducted focus groups with caregivers and educators and used their input to adapt an evidence-based caregiver training program originally designed for caregivers of autistic children (i.e., The Research Units in Behavioral Intervention; RUBI). We then completed a feasibility trial in which five families of children with FXS and four families of children with DS completed a nine-session caregiver training program targeting behavioral principles, syndrome-specific information, and visual supports tailored to the unique needs of FXS or DS (adapted version of RUBI for non-autism developmental disabilities; RUBI-DD). The program demonstrated strong acceptability, with high caregiver satisfaction, 100% retention, and 100% session attendance. Across the combined sample, caregiver reports indicated significant improvements in irritability/aggression (F_(2,15.14) = 4.42, p = 0.03), lethargy/social withdrawal (F_(2,14.47) = 3.97, p = 0.04), stereotypies (F_(2,15.29) = 4.45, p = 0.03), hyperactivity (F_(2,15.14) = 6.51, p = 0.009), social inflexibility (F_(2,15.43) = 6.33, p = 0.01), demand-based noncompliance (F_(2,15.41) = 4.95, p = 0.02), and the impact of behavior on the family (F_(2,15.07) = 4.23, p = 0.04) following participation in RUBI-DD. Caregivers of children with FXS reported significant reductions in lethargy/social withdrawal (F_(2,8.000) = 6.256, p = 0.023) and hyperactivity (F_(2,8.000) = 12.497, p = 0.003) immediately post-treatment and upon 12-week follow-up (g = 1.153, p = 0.044, and g = 1.178, p = 0.003, respectively). Among families of children with DS, caregivers reported reductions in irritability and aggression (F_(2,5.047) = 14.073, p = 0.009) and improvements in the impact on the family (F_(2,6.000) = 5.489, p = 0.044) immediately post-treatment and at follow-up (g = 1.643, p = 0.016, and g = 0.448, p = 0.045, respectively). These findings support the feasibility, acceptability, and preliminary efficacy of RUBI-DD for children with FXS or DS. Full article

Education for Sustainable Development (ESD) is increasingly positioned as a core task of biology education; however, teachers’ conceptions often oscillate between instrumental approaches and more critical-reflective perspectives. Drawing on the theoretical distinction between instrumental (ESD 1) and critically reflective (ESD 2) ESD frameworks, this study developed and validated a questionnaire with a five-point rating scale ranging from 0 (strongly disagree) to 4 (strongly agree) to assess pre-service biology teachers’ ESD-related beliefs and tested whether the proposed approaches emerge as empirically separable dimensions. We generated an initial item pool, which was reviewed by content experts and piloted (n = 30). In Sample 1 (n = 218 pre-service biology teachers), an exploratory factor analysis with iterative item reduction yielded a nine-item, two-factor solution explaining 52.0% of the variance (KMO = 0.82; Bartlett’s test p < 0.001). The factors reflected action- and behavior-oriented beliefs and critical-reflective beliefs (emphasizing social justice, interdisciplinarity and uncertainty), showing good internal consistency (ω = 0.76/0.86). A confirmatory factor analysis in an independent Sample 2 (n = 104 biology-related students) supported the correlated two-factor model (CFI = 0.968; TLI = 0.955; RMSEA = 0.068; SRMR = 0.068; r = 0.45). By operationalizing a differentiated concept of ESD, the instrument enables quantitative research on distinct belief orientations and can support the design and evaluation of ESD-oriented teacher education programs. Full article

Canine cognitive dysfunction (CCD) is a common age-related neurodegenerative disorder in dogs that shares several pathological and clinical features with human Alzheimer’s disease (AD). In both species, β-amyloid (Aβ) accumulates within the brain parenchyma and cerebral vessel walls and is associated with synaptic loss, oxidative stress, mitochondrial dysfunction, and chronic neuroinflammation, ultimately leading to progressive cognitive decline. Increasing evidence indicates that impairment of brain clearance mechanisms, particularly the glymphatic system, represents a central pathogenic mechanism in both CCD and AD. The glymphatic system is a glia-dependent perivascular network involved in the clearance of Aβ and other metabolic waste products from the brain. Its function declines with aging, vascular disease, and astrocytic alterations, including changes in aquaporin-4 distribution. Reduced glymphatic and periarterial drainage promotes the retention and aggregation of Aβ and tau proteins. Compared with AD, tau pathology in CCD is generally less extensive, supporting the interpretation of CCD as an Aβ-predominant condition and a partial pathological analog of Alzheimer’s disease. Clinically, CCD is characterized by a constellation of behavioral changes including, disorientation, altered social interactions, sleep–wake cycle disturbances, a loss of housetraining, changes in activity levels, and increased anxiety, commonly summarized by the DISHAA acronym. Overall, CCD represents a valuable spontaneous large-animal model for investigating neurodegenerative mechanisms and clearance-related therapeutic targets relevant to both veterinary and human medicine. Full article

Background: Burn injuries have both physical and psychological impacts on patients. Factors such as personal beliefs, prior experiences, and geographic, economic, or cultural barriers, as well as fear of hospitals, can contribute to delays in seeking specialized care. When combined with inadequate first aid or the inappropriate use of pharmaceutical or traditional remedies, these delays may worsen burn severity, prolong healing, and negatively affect quality of life. From a clinical perspective, delayed presentation following burn injury has been linked to burn wound progression, which increases the risk of local infection, hypertrophic scarring and prolonged functional impairment. Methods: This analytical cross-sectional study was conducted at the Clinical Emergency Hospital of Bucharest between January and September 2025. The primary objective was to characterize adult burn patients presenting more than 24 h after injury (Group A) and to describe self-reported psychosocial/behavioral characteristics and explore unadjusted patterns among delayed presenters. Data were collected from medical records and a structured questionnaire administered to delayed presenters. A secondary descriptive comparison was performed with patients presenting within 24 h (Group B) to provide contextual reference. Results: The majority of patients were male (62.2%) and of working age (18–65 years, 82.4%). Thermal burns from domestic accidents were most common (58.8%), with scalds predominating. Second-degree burns were the most frequent (60.5%), primarily affecting the upper and lower limbs. Mean total body surface area (TBSA) was low (2.86 ± 1.91%), although higher values were observed in radiation burns and closed-space accidents. More than half of the patients did not receive any first aid, while the remainder used various pharmaceutical or natural products, some of which were inappropriate for burn treatment. The main reasons for delaying specialized care were the expectation that injuries would heal spontaneously, negligence, and fear of the hospital. In contrast, escalating pain, edema, and family insistence were the primary motivators for seeking professional medical attention. Delayed presentation was associated with older burn lesions, higher burn severity and an increased likelihood of hospitalization or refusal of recommended admission. Conclusions: Burn injuries predominantly affect working-age males and most frequently arise from domestic thermal accidents. Delayed presentation and inadequate first aid are common and influenced by behavioral, social, and demographic factors. Targeted public education, improved first aid practices, and timely healthcare-seeking are essential to reduce burn severity and improve patient outcomes. Full article

Adolescents increasingly engage with digital technologies, yet understanding patterns of smartphone use and fostering reflective awareness remain challenging. Traditional assessments in clinical or school settings may limit participation and self-reflection. This study evaluated the feasibility and impact of a Computer-Assisted Web Interviewing (CAWI) approach to monitor smartphone use, provide immediate individualized feedback, and support peer-mediated dissemination in a public science engagement context. Across three editions of the European Researchers’ Night in Rome (2023–2025), 807 adolescents aged 10–19 completed the SAS-SV questionnaire via on-site tablets or personal devices using QR codes. Smartphone use was categorized into Low Involvement, At-Risk, or Problematic. Participants were encouraged to share the survey link with peers, enabling snowball-mediated recruitment. Participant acceptance was assessed through the Net Promoter Score (NPS). Snowball participation accounted for the majority of responses, highlighting the effectiveness of peer-mediated diffusion. SAS-SV categorization indicated 46% Low Involvement, 39% At-Risk, and 15% Problematic use, with minimal gender differences. NPS values ranged from +69 to +79, with snowball participants reporting slightly higher satisfaction than on-site attendees. These results underscore high engagement, perceived value, and the role of peer networks in promoting reflective digital behavior. Integrating CAWI assessment, immediate feedback, and peer-mediated diffusion created a socially situated environment supporting self-reflection and voluntary dissemination. Peer networks extended both the temporal and social reach of the initiative beyond the public event, demonstrating a scalable and non-stigmatizing model. CAWI-based monitoring combined with feedback and peer-driven diffusion is feasible and effective for adolescent digital wellbeing interventions. This approach fosters reflective digital citizenship, supports self-awareness, and leverages social networks to enhance the reach and impact of youth-centered health promotion initiatives. Full article

Existing research highlights the positive relationship between conscientiousness and prosocial behavior. Yet the underlying psychological mechanism between these variables needs further exploration. This study investigated the mediating role of empathy and the moderating role of social support in the relationship between conscientiousness and prosocial behavior by constructing a moderated mediation model. The study included 1081 middle school students from China, aged 13 to 18 years (M = 15.45, SD = 1.91). The sample consisted of 531 boys (49.12%) and 550 girls (50.88%), all of whom completed surveys on conscientiousness, empathy, social support, and prosocial behavior. Results revealed that empathy partially mediated the relationship between conscientiousness and prosocial behavior, while social support moderated both the direct relationship between conscientiousness and prosocial behavior and the indirect relationship between conscientiousness and prosocial behavior mediated by empathy. The findings provide educational implications for cultivating prosocial behavior among adolescents. Full article

Background/Objectives: Attention Deficit Hyperactivity Disorder (ADHD) is one of the most common neurodevelopmental disorders in childhood and it tends to remain during adulthood. It not only affects cognitive abilities and behavior but also often presents emotional disturbances and alterations in the perceived quality of life. These symptoms are primarily related to dysfunctions in the ventromedial and dorsolateral prefrontal network. The main objective was to evaluate the feasibility and explore the initial outcomes of an integrated protocol combining neuropsychological treatment and transcranial direct current stimulation (tDCS). Methods: This study presents a single-case experimental A-B design of a 21-year-old woman, diagnosed with predominantly inattentive ADHD, treated at the University Psychology Clinic of Loyola Andalucía University. The treatment was carried out twice a week for 5 weeks (10 sessions in total), with 20 min of anodal tDCS at F3 and cathodal tDCS at F4 (2 mA), while digital neurorehabilitation exercises and psychotherapeutic support were provided. Results: An overall significant improvement was observed in cognitive functions (p = 0.008), with clinically significant gains in cognitive flexibility, visual working memory, and planning. Mixed results were found in inhibition, with improvement in interference control but no change in response inhibition. No significant changes were observed in sustained attention, auditory working memory, or processing speed. In terms of emotional state, an overall improvement was noted (p = 0.046), particularly in depression symptoms and perceived quality of life related to physical and psychological health. However, no significant changes were observed in anxiety symptoms or in areas related to the environment and social relationships. These findings reflect pilot-level evidence of clinical change within a feasibility framework. Conclusions: The combined treatment was found to be safe and feasible, showing promising preliminary improvements in cognitive and emotional domains. As a single-case study, these results serve as hypothesis-generating evidence for future controlled trials. Full article

Positional consumption is spending valued mainly for relative standing rather than intrinsic usefulness. A progressive consumption tax can, in principle, reduce the social costs of status-driven spending by taxing consumption rather than saving, but it may face resistance. We examine a behavioral evaluation channel in which status quo bias and loss aversion can sustain positional consumption and reduce support for this reform. We combine a fully specified, reproducible in silico simulation of tax acceptance with a real-participant gain–loss questionnaire that benchmarks positional-choice patterns under matched items. In grouped fractional-response estimates from the simulated data, the post-condition increases predicted acceptance from about 0.11 to about 0.22 and is statistically significant (p < 0.001), while higher status quo and loss-aversion proxy intensity predicts lower acceptance and is statistically significant (p < 0.001). Policy framing increases predicted acceptance relative to the Neutral frame. In the questionnaire, loss framing shifts choices toward absolute outcomes relative to gain framing, consistent with attenuated positional motives. The framework provides a transparent way to stress test how framing and bundled communication and comprehension supports can shift acceptance of progressive consumption taxation under stated assumptions. Full article

Safety performance remains a persistent challenge in the construction industry due to hazardous working conditions, dynamic site environments, and complex organizational structures. Despite regulatory advances and technical safety controls, accident rates remain high, suggesting that formal mechanisms alone are insufficient. Addressing this gap, this study examines safety accountability as a central organizational mechanism and investigates how it influences construction workers’ safety performance through behavioral processes and leadership conditions. Drawing on accountability theory and social learning theory, we propose a moderated parallel mediation model in which safety monitoring and safety learning function as mediators, while inclusive leadership behavior serves as a contextual moderator. Data were collected from 629 construction workers employed in large-scale projects in Istanbul and Ankara, Türkiye, using a two-wave survey design to mitigate common method bias. Hypotheses were tested using confirmatory factor analysis and Hayes’ PROCESS macro. The results indicate that safety accountability does not exert a significant direct effect on safety performance; rather, its influence is fully transmitted through safety monitoring and safety learning, with monitoring emerging as the stronger mediating mechanism. Moreover, inclusive leadership behavior significantly strengthens the accountability-driven pathways leading to improved safety outcomes. By integrating accountability structures, behavioral processes, and leadership context, this study advances construction safety research and provides evidence-based guidance for enhancing occupational safety performance in high-risk construction environments. Full article

Introduction: Lifestyle is characterized by identifiable behavioral patterns that can affect individuals’ health, and is considered one of the predominant factors for maintaining both quality of life and people’s health. This triad (lifestyle, quality of life and health) is closely associated with well-being. Objective: The aim of this study is to evaluate the relationship between lifestyles, well-being, and self-esteem in students who have completed secondary education and are in the process of transitioning to higher education. Methods: Data were collected using a questionnaire of sociodemographic (e.g., age, gender) and physical (e.g., BMI) variables, a Self-Esteem Scale, a Well-Being scale, and the FANTASTICO Lifestyle questionnaire. Statistical analysis was performed using canonical correlation analysis and a Structural Equation Model. Results: The sample consisted of 235 students, with a mean age of 18.4 years. Canonical correlation analysis revealed that lifestyle explains 58.5% of the variance in mental health. The first (most important) canonical function (r = 0.86; p < 0.001) highlighted that the domains of introspection, sleep/stress management, and family/social support are the primary predictors of higher levels of self-esteem and psychological well-being. Structural Equation Modeling confirmed that lifestyle positively predicts psychological well-being through both direct and indirect pathways (β = 0.172; 95.0% BC CI [0.095, 0.253]). Self-esteem emerged as a significant partial mediator in this relationship, suggesting that healthy lifestyle habits reinforce the perception of personal competence, which, in turn, enhances emotional adjustment. Together, these findings validate the dynamic triad between behavior, self-perception, and well-being during the transition to higher education. Conclusions: This study shows that the transition to higher education is a pivotal period where lifestyle patterns significantly shape students’ psychological adjustment. The findings confirm that a healthy lifestyle, specifically centered on stress management, sleep, and social support, serves as a robust predictor of both self-esteem and psychological well-being. By identifying self-esteem as a key partial mediator, the results suggest that healthy habits do more than just improve physical health. Full article

With the rapid development in new media and social platforms on the internet, some social hotspots or sensitive events can easily ferment and spread in the online space, attracting the attention or concentrated discussion of young students. Network cluster behavior is a collective behavior in which a large number of netizens collectively express and gather opinions around social hot issues of common concern, creating online public opinion. The study explored the influence of group psychology on the process of college students participating in online cluster behavior. A survey was conducted involving 2137 college students from over 10 universities in Zhejiang Province, Jiangsu Province, and other regions. The data were analyzed using correlation analysis and moderated mediation model testing. This study found that group psychological factors, such as emotional infection, depersonalization, the spiral of silence, relative deprivation, group polarization, and action mobilization, positively predicted network cluster behavior. The action mobilization of opinion leaders mediated the relationship between emotional infection and network cluster behavior. Group polarization mediated the relationship between the spiral of silence and network cluster behavior. Additionally, group efficacy moderated the latter part of the mediation process between group polarization and network cluster behavior. Full article

Reward motivation adaptation is defined as the extent to which the willingness to exert effort varies as a function of incentive salience, encompassing both motivational (‘wanting’) and hedonic (‘liking’) components. Although reduced reward motivation has been reported in subclinical depression and anhedonia, it remains unclear whether impaired adaptation is a general feature of subclinical depression or is more evident when depressive symptoms co-occur with anhedonia. We addressed this question in two behavioral studies using a task that systematically varied effort–reward ratios. Study 1 contrasted three screening-based groups: individuals with elevated social anhedonia, individuals with subclinical depression without high social anhedonia, and controls with low levels of both, and found no clear group differences in reward motivation adaptation across effort–reward conditions. Study 2 focused on female participants with subclinical depression who also showed higher levels of anhedonia, compared with non-depressed controls. In this sample, the subclinical depression group showed lower overall reward motivation and indications of reduced ‘liking’ adaptation. In conclusion, these findings suggest that deficits in reward motivation adaptation were not clearly observable when subclinical depression or social anhedonia were considered in isolation, but may emerge when depressive status and broader measures of anhedonia co-occur, though this pattern requires confirmation in larger and more diverse samples. Full article

Security organizations increasingly rely on cyber threat intelligence (CTI) sharing to enhance their resilience against cyberattacks. Indicators of Compromise (IoCs) play a critical operational role in CTI by providing malicious artifacts that support threat detection, incident response, and facilitate proactive defense. However, the rapid growth of social media as CTI sources, characterized by short-text content, poses significant challenges to automated IoC extraction, contextual interpretation, operational integration, and reliable verification. To address these challenges, this study proposes a comprehensive framework that integrates Large Language Models (LLMs) across multiple stages of the CTI pipeline. The framework leverages LLM-driven data augmentation, a hybrid classification model, and contextual summarization to enhance short-text understanding while supporting expert-in-the-loop validation for operational reliability. Extensive experimental evaluations demonstrate that LLM-driven data augmentation substantially improves model robustness and generalization while reducing false-positive alerts, achieving a precision of $98.87$%. Quantitative diversity analysis and expert-based human evaluation further confirm the linguistic quality and correctness of the generated augmented samples. In addition, IoC reports are validated using both reference-based and reference-free evaluation metrics that show strong alignment and high semantic adequacy. Moreover, a technology acceptance model was integrated with cybersecurity domain constructs to assess the acceptance factors of the proposed framework. Regression analysis showed that perceived usefulness, behavioral intention, trust in automation, and risk were the strongest predictors of actual use. These predictors are commonly interpreted as indicators of technology acceptance. Full article