The COVID-19 pandemic and its accompanying restrictions have significantly impacted people’s lives globally. There is an increasing interest in examining the influence of this unprecedented situation on our mental well-being, with less attention towards the impact of the elongation of COVID-19-related measures on youth with a pre-existing psychiatric/developmental disorder. The majority of studies focus on individuals, such as students, adults, and youths, among others, with little attention being given to the elongation of COVID-19-related measures and their impact on a special group of individuals, such as children and adolescents with diagnosed developmental and psychiatric disorders. In addition, most of these studies adopt statistical methodologies to identify pair-wise relationships among factors, an approach that limits the ability to understand and interpret the impact of various factors. In response, this study aims to adopt an explainable machine learning approach to identify factors that explain the deterioration or amelioration of mood state in a youth clinical sample. The purpose of this study is to identify and interpret the impact of the greatest contributing features of mood state changes on the prediction output via an explainable machine learning pipeline. Among all the machine learning classifiers, the Random Forest model achieved the highest effectiveness, with 76% best AUC-ROC Score and 13 features. The explainability analysis showed that stress or positive changes derived from the imposing restrictions and COVID-19 pandemic are the top two factors that could affect mood state.
The global spread of COVID-19 led the World Health Organization to declare a pandemic on 11 March 2020. To decelerate this spread, countries have taken strict measures that affected the lifestyle and economy. Various studies have been focused on the identification of COVID-19 impact to mental health of children and adolescents via traditional statistical approaches. However, a machine learning methodology must be developed to explain the main factors that contribute to the change of mood state of children and adolescents during the first lockdown. Therefore, to this study an explainable machine learning pipeline is presented focusing on children and adolescents in Greece, where a strict lockdown was imposed. The target group consists of children and adolescents, recruited from children and adolescent mental health services, who present mental health problems diagnosed before the pandemic. The proposed methodology imposes: (i) data collection via questionnaires; (ii) a clustering process to identify the groups of subjects with amelioration, deterioration and stability to their mood state; (iii) a feature selection process to identify the most informative features that contribute to mood state prediction; (iv) a decision-making process based on an experimental evaluation among classifiers; (v) calibration of the best performing model and (v) a post-hoc interpretation of the features’ impact on the best performing model. The results showed that a blend of heterogeneous features from almost all feature categories is necessary to increase our understanding regarding the effect of COVID-19 pandemic on the mood state of children and adolescents.
Stroke is a major leading cause of chronic disability, often affecting patients’ motor and sensory functions. Functional magnetic resonance imaging (fMRI) is the most commonly used method of functional neuroimaging and allows the non-invasive study of brain activity. The time-dependent coactivation of different brain regions at rest is described as resting-state activation. As a non-invasive task-independent functional neuroimaging approach, resting-state fMRI (rs-fMRI) may provide therapeutically useful information on both the focal vascular lesion and the connectivity-based reorganization and subsequent functional recovery in stroke patients. Considering the role of prompt and accurate prognosis in stroke survivors along with the potential of rs-fMRI in identifying patterns of neuroplasticity in different post-stroke phases, this review provides a comprehensive overview of the latest literature regarding the role of rs-fMRI in stroke prognosis in terms of motor and sensory outcome. Our comprehensive review suggests that with the advancement of MRI acquisition and data analysis methods, rs-fMRI emerges as a promising tool to study the motor and sensory outcome in stroke patients and evaluate the effect of different interventions.
Stroke is a significant cause of mortality and chronic morbidity caused by cardiovascular disease. Respiratory muscles can be affected in stroke survivors, leading to stroke complications, such as respiratory infections. Respiratory function can be assessed using pulmonary function tests (PFTs). Data regarding PFTs in stroke survivors are limited. We reviewed the correlation between PFTs and stroke severity or degree of disability. Furthermore, we reviewed the PFT change in stroke patients undergoing a respiratory muscle training program. We searched PubMed until September 2023 using inclusion and exclusion criteria in order to identify studies reporting PFTs post-stroke and their change after a respiratory muscle training program. Outcomes included lung function parameters (FEV
Abstract Problem Anxiety is a common phenomenon among children that can lead to adverse developmental outcomes. A challenging parent–child relationship and its characteristics may negatively impact the development of a child's internalizing problems. However, theoretical models on children's anxiety have not fully emphasized the contribution of parenting and environmental factors. Therefore, the aim of this study is to explore the possible correlations between parenting styles and other parental characteristics with children's anxiety. Methods The sample consisted of 443 parents of preschool children who completed the Parenting Styles and Dimension Questionnaire and the Child Behavior Checklist 1.5–5. The univariate analysis included differences between demographic groups, assessed with independent sample t ‐tests. Associations between demographic evidence and child anxiety were estimated using χ 2 tests. Binomial logistic regression analysis assessed the most important parenting characteristics contributing to a child's anxiety. Findings A total of 24.6% of the children had borderline or clinical symptoms of anxiety. Parents whose children were anxious were more permissive than parents of nonanxious children ( p < 0.001). Mothers were more authoritative compared to fathers. In addition, permissive parenting style increased the probability of a child's anxiety and maternal permissive style emerged as a significant predictor of anxiety in preschoolers ( p < 0.003). Conclusions This study revealed that the permissive parenting style is associated with anxiety in preschool children. Furthermore, the maternal permissive style was identified as a predictor of anxiety. Future research may address its causal effect on anxiety and other behavioral problems, focusing on multiple perspective relationships and cultural dimensions.
Few studies have investigated the level of authoritarianism in the area of health. Staff with authoritarian personality may put in danger the quality of health services, especially towards stigmatized groups, such as the mentally ill and HIV positive people or the minority ethnic communities. Authoritarianism Scale (AS) by P. Heaven, is an instrument focusing on the multi-faced nature of authoritarianism and authoritarian behaviors. The aim of this study is to assess the psychometric properties of the Greek Authoritarianism Scale (AS) and to explore authoritarian attitudes of people employed in health services, in Greece. Initially, 600 individuals (health employees and medical students) were enrolled and completed AS. Additionally, 33 postgraduate students completed AS twice, in an interval of 30 days. In order to assess the psychometric properties of AS explanatory factor analysis was performed, which resulted in a 20-items scale and revealed five (5) factors: "Leadership", "Verbal hostility", "Military way of thinking", "Fear-Suspiciousness", "Achievement Motivation". Cronbach's alpha value overall was satisfactory (0.79), while values for every factor separately ranged from 0.55 to 0.76 showing moderate to satisfactory reliability. AS's test-retest reliability was high: ICC showed high to excellent agreement of AS total and factor scores between the two time points. Women and older people were less authoritarian while youngers, students and staff with primary education showed more authoritarianism. Psychiatric staff presents the lowest AS total score comparing to the other specialties. Significant differences in all categories of the sample arose in "Achievement Motivation". Greek version of AS, as evaluated in a Greek health staff sample, revealed interesting differences among participated subgroups and had overall satisfactory reliability. The influence of Authoritarianism on the major issues of our days, such as immigration flows, social and financial crisis, leads to the need of the existence of reliable measures of its assessment.
Evidence suggests that cardioembolism represents the underlying mechanism in the minority of embolic strokes of undetermined source (ESUS). In this population-based study, we sought to compare the clinical and imaging characteristics as well as outcomes in patients with ESUS and cardioembolic stroke (CE).We included consecutive patients with first-ever ischemic stroke (IS) from the previously published population-based Evros-Stroke-Registry identified as ESUS or CE according to standardized criteria. Baseline characteristics, admission NIHSS scores, cerebral edema, hemorrhagic transformation, stroke recurrence, functional outcomes (determined by modified Rankin Scale [mRS] scores), and mortality rates were recorded during the 1-year follow-up period.We identified 21 ESUS (3.7% of IS) and 211 CE (37.1% of IS) cases. Patients with ESUS were younger (median age: 68 years [interquartile range [IQR]: 61-75] vs 80 years [IQR: 75-84]; P < .001), had lower median admission NIHSS scores (4 points [IQR: 2-8] vs 10 points [IQR: 5-17]; P < .001), and lower prevalence of cerebral edema on neuroimaging studies (0 vs. 33.3%, P = .002). Functional outcomes were more favorable in ESUS at 28 (median mRS score: 2 [IQR: 1-3] vs 4 [IQR: 4-5]; P < .001), 90 (median mRS score: 1 [IQR: 0-2] vs 4 [IQR: 3-5]; P < .001), and 365 days (median mRS score: 1 [IQR: 0-2] vs 4 [IQR: 2-4]; P < 0.001). At 1-year, the mortality rate was lower in ESUS (0% [95% confidence interval [CI]: 0-13.5%] vs 34.6% [95% CI: 28.2-41.0%]; P < .001); the 1-year recurrent rate was also lower numerically (0% [95% CI: 0-13.5%] vs 9.5% [95% CI: 5.5-13.4%]; P = .140) but this difference failed to reach statistical significance due to the small study population.The clinical and neuroimaging profiles as well as clinical outcomes vary substantially between ESUS and CE indicating different underlying mechanisms.
The Trail Making Test (TMT) is one of the most commonly administered tests in clinical and research neuropsychological settings. The two parts of the test [part A (TMT-A) and part B (TMT-B)] enable the evaluation of visuoperceptual tracking and processing speed (TMT-A), as well as divided attention, set-shifting and cognitive flexibility (TMT-B). The main cognitive processes that are assessed using TMT, i.e. processing speed, divided attention and cognitive flexibility, are often affected in patients with stroke. Considering the wide use of TMT in research and clinical settings since its introduction in neuropsychological practice, the purpose of our review was to provide a comprehensive overview on the use of TMT in stroke patients in an attempt to mainly identify its role for the evaluation of post-stroke cognitive dysfunction and progression over time, the identification of the underlying neuroanatomical pathology related to impaired TMT performance, and the association with other stroke outcomes, such motor function, driving ability and quality of life. Our comprehensive review underscores that the TMT stands as an invaluable asset in the stroke assessment toolkit, contributing nuanced insights into diverse cognitive, functional, and emotional dimensions. As research progresses, continued exploration of the TMT potential across these domains is encouraged, fostering a deeper comprehension of post-stroke dynamics, and enhancing patient-centered care across hospitals, rehabilitation centers, research institutions, and community health settings. Its integration into both research and clinical practice reaffirms TMT status as an indispensable instrument in stroke-related evaluations, enabling holistic insights that extend beyond traditional neurological assessments.
The present study is a cross-sectional study that aimed to investigate the potential associations between depression status, health-related quality of life, physical activity levels and sleep quality in a representative Greek elderly population. Three thousand four hundred five (3405) men and women over 65 years old from 14 different Greek regions were enrolled. Geriatric Depression Scale (GDS) was used to assess depression status, Health-Related Quality of Life (HRQOL) was evaluated using Short Form Health Survey, physical activity levels were assessed via the International Physical Activity Questionnaire (IPAQ) and sleep quality was evaluated using the Pittsburgh Sleep Quality Index (PSQI). A high prevalence of depression and an increased incidence of poor quality of life, low physical activity levels and inadequate sleep quality among the elderly population were recorded. Depression status was independently associated with worse quality of life, poor physical activity, inadequate sleep quality, female gender, BMI and living alone after adjustment for potential confounding factors. Elderly age, low muscle mass, educational and financial status were also identified as indicators of depression; however, their impact on depression status was considerably attenuated after adjusting for confounding factors. In conclusion, depression was associated with worse health-related quality of life, poor physical activity and inadequate sleep quality in a Greek elderly population. Future randomized control trials should be performed to confirm the findings of this cross-sectional study.
Background: The Mediterranean diet (MD) is well-known as a diet which may exert a protective effect against neurodegenerative diseases, including multiple sclerosis (MS). To date, only a few clinical surveys have assessed the potential effects of the MD in patients with MS. The purpose of the present study is to evaluate the potential effects of MD compliance on disease disability, quality of life, physical activity, depressive symptomatology, and blood biochemical parameters related to nutritional status in MS patients, considering several socio-demographic, anthropometric, and lifestyle characteristics. Methods: This is a cross-sectional study conducted on 558 adults with MS aged 18–64 years. Relevant questionnaires were utilized to evaluate socio-demographic and anthropometric parameters, disease disability (Expanded Disability Status Scale, EDSS), multidimensional health-related quality (MS Quality of Life-54, MSQOL-54), physical activity levels (International Physical Activity Questionnaire, IPAQ), depression (Beck Depression Inventory II, BDI-II), and MD adherence (MedDietScore), while several blood biochemical parameters were retrieved from the patients’ medical records. Results: Enhanced MD compliance was independently associated with a decreased frequency of overweight/obesity, as well as abdominal obesity, in patients suffering from MS. Elevated MD compliance was also independently associated with a decreased incidence of advanced disease disability, a higher prevalence of elevated physical activity, an improved quality of life, and lower depressive symptoms, as well as higher levels of certain blood biochemical parameters, which are effective indicators of iron deficiency and malnutrition. Conclusions: The present study found that higher MD adherence may slow down disease disability, promoting a better quality of life and mental health in adults with MS. Future prospective surveys are required to obtain conclusive results.
