Children's anxiety and parenting self-efficacy during the COVID-19-related home confinement.

BACKGROUND: The COVID-19 crisis influenced the lives of families and preschoolers, worldwide. School closures and restriction measures introduced distance learning for preschoolers and remote working for parents. Social distancing narrowed opportunities to meet with peers and enjoy leisure activities. Additionally, social and mental services closures limited young children's accessibility to mental, speech and occupational health services. The aim of the current study was to investigate how home confinement during the third wave of the COVID-19 pandemic affected parenting self-efficacy and preschoolers' anxiety. METHOD: An online survey based on a convenience sample took place on April 2021 to evaluate how home confinement to halt the third wave of COVID-19 pandemic influenced children's anxiety and parenting self-efficacy (PSE). Parents of 146 children (65 girls [44.5%] and 81 boys [55.5%]; aged 2-6 years old) were enrolled and completed a demographics form, the Preschool Anxiety Scale (PAS) and the Tool to Measure Parenting Self-efficacy (TOPSE). RESULTS: Most of the participants reported that the relationship with their child was positively affected from staying at home. TOPSE mean scores reflected average parenting self-efficacy. PSE was negatively correlated with children's anxiety. COVID-19-related variables 'Parent's vaccine hesitancy' and 'Death of a loved one' had a clear effect on preschoolers' anxiety, whereas the latter also on PSE. CONCLUSION: Findings highlight the necessity of implementing public health strategies to strengthen families and support parents and their children during the ongoing health crisis.

A Pediatric Patient With Autism Spectrum Disorder and Comorbid Compulsive Behaviors Treated With Robot-Assisted Relaxation: A Case Report.

The nature of autism spectrum disorders (ASDs) presents significant challenges, especially with regard to comorbidities and drug treatments. Parents and caregivers are often hesitant towards psychotropic medications, mainly due to the fear of side effects. Problems arise when comorbid symptomatology reaches extreme levels, leading to functional decline in the patients. We discuss the case of a 13-year-old girl diagnosed with autism disorder who presented with a long history of social, interpersonal, and academic challenges. The patient was hospitalized with the complaint of a persistent, non-painful, and unpleasant sensation in the perineal area that eventually resulted in repetitive and compulsive behaviors. Robot-enhanced relaxation training was introduced to support the patient since she declined to undergo any form of talk therapy. The aim of the intervention was to prevent the irritation from escalating and promote self-regulation skills. The results, based on parent reporting, indicated that the patient acquired relaxation skills, experienced some positive effects on emotional regulation, and showed a decrease in the duration of her disruptive behaviors upon completing the relaxation training. This case report provides evidence that robot-assisted relaxation training may be effective in dealing with ASD-related behavioral disturbances and comorbid anxiety.

Behavioral Data Analysis of Robot-Assisted Autism Spectrum Disorder (ASD) Interventions Based on Lattice Computing Techniques.

Recent years have witnessed the proliferation of social robots in various domains including special education. However, specialized tools to assess their effect on human behavior, as well as to holistically design social robot applications, are often missing. In response, this work presents novel tools for analysis of human behavior data regarding robot-assisted special education. The objectives include, first, an understanding of human behavior in response to an array of robot actions and, second, an improved intervention design based on suitable mathematical instruments. To achieve these objectives, Lattice Computing (LC) models in conjunction with machine learning techniques have been employed to construct a representation of a child's behavioral state. Using data collected during real-world robot-assisted interventions with children diagnosed with Autism Spectrum Disorder (ASD) and the aforementioned behavioral state representation, time series of behavioral states were constructed. The paper then investigates the causal relationship between specific robot actions and the observed child behavioral states in order to determine how the different interaction modalities of the social robot affected the child's behavior.

A COVID-19 Patient Presenting With Paroxysmal Atrial Fibrillation.

The cardiovascular system is influenced in the course of coronavirus disease 2019 (COVID-19); paroxysmal atrial fibrillation (PAF) is not uncommon in hospitalized patients with COVID-19. This is a report of an atypical presentation of a 78-year-old patient who was diagnosed with COVID-19 infection. The patient, in the acute setting, was diagnosed with rapidly deteriorating cardiac failure associated with PAF, respiratory distress, and deteriorating vitals, and was eventually intubated. The mechanisms and preexisting substrates of atrial fibrillation in COVID-19 patients are discussed. A connection between arrhythmia and COVID-19, on the basis of a generalized inflammatory state, is suggested. This particular case adds to the understanding that the occurrence of PAF in COVID-19 patients is consistent with the mechanism of worse outcomes due to systemic inflammation.

A review on the COVID-19-related psychological impact on older adults: vulnerable or not?

BACKGROUND: COVID-19 is a novel event of the twenty-first century. Therefore, contemporary research is required to determine the current pandemic's psychological impact on older populations. Soon after the COVID-19 outbreak, several narrative reviews and guidelines were released to support older adult's psychological wellbeing. However, a lack of data from original studies was reported until May 2020. AIM: To identify studies published from May 2020 until January 2021 that quantitatively assessed the mental health impact of COVID-19 on older adults using validated psychometric tools. METHOD: A comprehensive literature search of original research articles was conducted using specific terms. The screening procedure was conducted stepwise. RESULTS: Among the 18 included studies, cross-sectional online surveys indicated that older adults were less psychologically distressed than younger ones. A longitudinal study revealed that COVID-19 did not have a major impact on loneliness and satisfaction with life. On the contrary, studies comparing pre- with peri-pandemic data revealed that older adults experienced more severe depressive/anxiety/stress symptoms and loneliness during the pandemic. Several studies reported though only subclinical symptoms, as well as low loneliness levels during the pandemic. CONCLUSIONS: Research studies suggested that older age may buffer against the COVID-19-related impact on mental health. Despite evidence against generalised perceptions of vulnerability, older adults' ability to adapt to adversity may be uneven, depending on cultural, social, economic and other individual factors. Taken together, the impact, moreover the long-term impact of COVID-19, is expected to vary across countries and older subpopulations, and remains to be evaluated by prospective, longitudinal studies.

The mediating role of fear of COVID-19 in the relationship between intolerance of uncertainty and depression.

OBJECTIVES: Living during the COVID-19 pandemic is characterized by the emergence of great uncertainty surrounding multiple aspects of daily life. This study explored the relationship between intolerance of uncertainty (IU) and depression, as well as the potential mediation effect of COVID-19-related fear. DESIGN AND METHODS: A cross-sectional study was conducted through an online survey from 10 April until 13 April 2020, three weeks after a national lockdown had been imposed in Greece. The convenience sample used in this study consisted of 2,827 adults. Participants voluntarily provided sociodemographic data and completed the following scales: the Intolerance of Uncertainty Scale (IUS-12), the Fear of COVID-19 Scale (FCV-19S), and the Brief Patient Health Questionnaire (PHQ-9) Depression Scale. RESULTS: Participants appeared to be moderately depressed [M = 14.75, SD = 4.52]. There was a significant indirect effect of IU to depressive symptoms ((.058), CI (0.051-0.066)). FCV-19S was tested as a mediator in the relationship between IUS-12 (independent variable) and PHQ-9 (dependent variable). Partial mediation of fear of COVID-19 was supported ((.54) (.41) = 13, CI (0.051-0.066), Sobel z-value = 14.93). CONCLUSIONS: Depressive symptomatology affected study participants at a moderate level. IU was shown to be a significant predictor of depressive symptomatology with higher levels of IU being associated with more severe depressive symptoms. Fear of COVID-19 partially mediated this association. The mediation effect may be explained by the uncertainty around COVID-19-related health issues, which are reflected in the FCV-19S and cause worry and/or anxiety. Uncertainty related with other factors, such as the impact on the economy and education, not assessed by the FCV-19S, may explain part of the relationship between IU and depressive symptoms that is not mediated by FCV-19S. PRACTITIONER POINTS: Intolerance of uncertainty is related to depressive symptomatology, and fear of COVID-19 explains part of the relation. Fear of COVID-19 indicates worry and anxiety related to health issues. Psychotherapeutic interventions enhancing individuals' capacity to endure uncertainty could be beneficial. Provision of simple and clear information by the authorities should be a priority issue.