(1) Background: The World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) is a tool designed to measure disability in accordance with the International Classification of Functioning, Disability and Health. Measuring disability is becoming increasingly important due to its high prevalence, which continues to rise. Rehabilitation interventions can reduce disability and enhance functioning. (2) Objective: The present study aims to assess the impact of rehabilitation interventions on reducing disability, as measured by the WHODAS 2.0 questionnaire. It also seeks to identify which specific rehabilitation interventions are more effective and to explore other disability assessment questionnaires. (3) Methods: Following the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) methodology, we conducted a systematic review, with the protocol registered with the identifier CRD42023495309, focused on “WHODAS” and “rehabilitation” using PubMed and Web of Science electronic databases. (4) Results: We identified 18 articles from various regions encompassing patients with various health conditions, related to stroke, the cardiovascular system (cardiovascular disease, chronic heart failure), the pulmonary system (chronic obstructive pulmonary disease), the neurologic system (Parkinson’s disease, cerebral palsy, neurodegenerative disease), the musculoskeletal system (orthopaedic surgery), cancer, and chronic pain, and among frail elderly. These patients have received a wide range of rehabilitation interventions: from conventional therapy to virtual reality, robot-assisted arm training, exergaming, and telerehabilitation. (5) Discussion and Conclusions: A wide range of rehabilitation techniques can effectively improve disability with various comorbidities, offering numerous benefits. The WHODAS 2.0 questionnaire proves to be an efficient and reliable tool for measuring disability, and scores have a tendency to decrease after rehabilitation.

Social isolation and loneliness greatly contribute to negative health consequences in older adults. Technological solutions can be an asset in promoting social connections and healthy behaviours. This paper presents an innovative structure for an Internet of Things (IoT) platform specifically tailored for older persons. The framework utilises a supervised learning algorithm to classify users into four identified profiles to facilitate the adoption and engagement of technology. The platform incorporates wearables, such as socks and smart bands, to track physical activity, and a messaging module to encourage social interaction. The platform processes the acquired data to quantify steps and deliver tailored interventions remotely to the older adults through the AGAPE Assistant, the mHealth solution of the platform. Furthermore, the AGAPE Assistant has a user interface design for older adults, with a focus on their specific needs. Additionally, improving digital literacy among older adults is crucial for maximizing the long-term compliance and benefits of such technological solutions. On the other hand, AGAPE Monitor is a web application used by formal caregivers to configure the tailored interventions. The platform’s usability was assessed using different usability scale questionnaires, which revealed a mild level of user satisfaction and acceptance. The proposed framework is currently being deployed on more than 112 older adults across three countries: Italy, Romania, and Portugal. The proposed framework provides a holistic solution to encourage active ageing by adopting technology, implementing hybrid interventions, and promoting social interactions.

Introduction: The COVID-19 pandemic has led to approximately 3.5 million cases in Romania, causing systemic inflammation and over 200 symptoms affecting various body systems. This complexity has challenged rehabilitation systems, necessitating personalized plans tailored to each patient’s illness stage and impairment level. The ISPRM-developed ClinFIT COVID-19 instrument, aligned with the ICF categories, assists in assessing patients during acute, post-acute, and long-term phases. Objective: This study aimed to evaluate and assess functional impairments in post-COVID-19 patients in Romania, with a secondary goal of generating rehabilitation directions. Methods: Data were collected from patients at two Bucharest medical centers, including those with persistent symptoms post-acute phase. Participants were assessed using the adapted ClinFIT COVID-19 instrument, and descriptive statistics were applied. Conclusions: Findings revealed diverse functional impairments in physical, psychological, and social domains among post-COVID-19 patients, with severe impairments more common in those with long-term COVID-19. Complete impairment in complex movement and paid work was noted, affecting one-third of salaried employees and forcing some to retire. In the acute phase, the most frequent functional impairments were sleep, attention, pain sensation, and exercise tolerance functions. In contrast, the most severely affected functions were exercise tolerance and mobility joint functions. Age did not positively correlate with any of the analyzed functions. In the post-acute phase, sleep, energy, and drive functions remained the most frequently affected functions, while the most severely affected was, by far, the moving around function. In the post-acute period, respiratory and respiratory muscle functions strongly correlated with all tasks related to physical activity. In the long COVID-19 phase, remunerative employment was the most severely affected function, while attention functions remained the most frequently affected, similar to the acute phase. The ClinFIT COVID-19 instrument effectively captured these impairments, underscoring the need for comprehensive rehabilitation strategies.

Background: Anxiety disorders are highly prevalent in children and adolescents with Autism Spectrum Disorder (ASD) and contribute substantially to functional impairment and reduced quality of life (QoL). Objective: This paper represents the second part of a two-part narrative overview addressing internalizing symptoms in ASD. Complementing the first paper focused on depression, the present work examines anxiety, emphasizing shared and distinct modifiable risk and protective factors within a unified conceptual framework. Methods: A structured narrative overview was conducted, synthesizing evidence from systematic reviews, meta-analyses, and robust clinical studies. Studies were selected based on relevance and scientific rigor, and findings were organized across biological, psychological, and environmental domains. Results: Anxiety in ASD is associated with multiple interacting factors, including sensory hypersensitivity, intolerance of uncertainty (IU), social challenges, and neurobiological vulnerability. Protective factors such as cognitive-behavioral therapy (CBT), structured physical activity, and supportive environments may mitigate anxiety symptoms and promote adaptive functioning. Nevertheless, variability in study design and population characteristics limits generalizability. Conclusions: Addressing anxiety in ASD requires a comprehensive, multidisciplinary strategy that integrates risk reduction with resilience-building interventions. Together with the first part of this overview, these findings support transdiagnostic and personalized approach to mental health in children and adolescents.

Introduction: Rapid technological development requires continuous learning and adaptation, yet many older adults (OAs) face difficulties using digital technologies. The AGAPE project (Active aGeing And Personalised service Ecosystem) aimed to promote active and healthy ageing (AHA) among adults aged 65+ by supporting independent functioning reducing caregiver burden, and improving eHealth literacy through personalized, user-friendly digital services co-created and tested in Italy, Portugal, and Romania. Objective: AGAPE pilot phase evaluated the effectiveness and usability of innovation adoption strategies designed to improve technology acceptance, digital literacy, and behavioural change among older adults and caregivers. This study examined participants’ perceptions of digital technologies and self-reported digital efficacy during a multicomponent intervention combining repeated technology use, personalized coaching, digital literacy and health education, technical assistance, and support from informal and formal caregivers. Material and Methods: The multiple-sites uncontrolled pilot study combined home-based use of the AGAPE digital technologies with long-term combined personalized support. Data were collected at baseline (T0), intermediate (T1), and final (T2) assessments using the System Usability Scale (SUS), technostress questionnaire, digital adoption questionnaire (TAM-derived), EQ-5D-5L, CarerQoL-7D, and the UCLA Loneliness Scale, complemented by participant feedback, technology usage, and activity data. Results: The study included 217 participants, of whom 146 were OAs. Over the course of the intervention, participants showed reductions in technostress and improvements in perceived digital efficacy, although the magnitude and direction of change varied across pilot sites. The findings also indicated that contextual and social factors contributed to technology adoption and engagement. Conclusions: Participation in the multicomponent AGAPE intervention was associated with positive longitudinal changes in technology-related perceptions, technostress, and digital self-efficacy. The findings support the feasibility and potential of combining digital technologies with personalized coaching and broader interpersonal support to facilitate technology adoption among older adults. However, given the uncontrolled study design and the integrated nature of the intervention, the observed changes cannot be attributed independently to coaching or to any single intervention component.

Background: Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition frequently associated with internalizing disorders, particularly depression, which significantly impacts functioning and quality of life (QoL) in children and adolescents. Objective: This paper represents the first part of a two-part structured narrative overview examining internalizing psychopathology in children and adolescents with ASD. Given the high co-occurrence and shared neurobiological, psychological, and environmental mechanisms linking depression and anxiety, the multidisciplinary research team elected to develop two complementary overviews to allow a more comprehensive and clinically meaningful synthesis of the evidence. The present review specifically aims to identify and synthesize current evidence on modifiable risk and protective factors influencing depression in children and adolescents with ASD. Methods: A structured narrative overview was conducted, integrating evidence from systematic reviews, meta-analyses, and robust clinical studies. Studies were selected based on relevance and methodological quality, and findings were synthesized across biological, psychosocial, and lifestyle domains. Results: Growing body of evidence indicates that depression in ASD is influenced by a complex interplay of genetic vulnerability, sensory and emotional dysregulation, social stressors, and environmental factors. At the same time, modifiable protective factors—including physical activity, psychosocial interventions, digital health approaches, and family-centered care—show potential in enhancing resilience and emotional well-being. However, the evidence base remains heterogeneous and often limited by methodological constraints. Conclusions: A multidisciplinary and prevention-oriented approach that simultaneously addresses risk and strengthens protective pathways may optimize mental health outcomes and improve QoL in children and adolescents with ASD.