Engagement Analysis of Canadian Public Health and News Media Facebook Posts and Sentiment Analysis of Corresponding Comments during COVID-19

During the COVID-19 pandemic, key stakeholders have used social media to rapidly disseminate essential information to the public to help them make informed health-related decisions. Our research examined how the public responded to official actors’ Facebook posts during COVID-19 and examined the comment sentiment and post engagement rates. CBC News and CTV News received a greater proportion of negative comments and a lower average post engagement rate compared with Healthy Canadians. Additionally, the proportion of negative and positive comments varied over time for all sources; however, over 30% of the comments for all three actors were consistently negative. Key stakeholders should monitor the public’s response to their social media posts and adapt their messages to increase the effectiveness of their crisis communication efforts to encourage the adoption of protective measures.

The Interventions of a Mobile Mental Health Unit on the Refugee Crisis on a Greek Island

This present study concerns refugees and asylum seekers who have been referred to a Mobile Mental Health Unit (MMHU-Ch) in rural Greece on a Northeast Aegean Island during the refugee crisis in 2015. Our objective is the examination and recording of psychopathology characteristics’, the presentation of the therapeutic interventions provided, and the difficulties. The sample is composed of 418 requests made by refugees, asylum seekers, adults, and children. The clinical and demographic data have been gathered from the MMHU-Ch’s charts. The study is retrospective, descriptive with quantitative and categorical variables. The data has been analyzed with the utilization of SPSS. The dominant diagnosis in children involves anxiety disorders, developmental disorders, and PTSD. One noteworthy finding is the high percentage of suicide behavior regardless of psychiatric diagnosis, which should be further examined. As far as interventions are concerned, the conclusions which have arisen are the gradually stronger commitment of the referents, but also the high percentage of requests that dropped out. Further examination of the interventions and their efficiency is recommended as well as probing the features of psychopathology in the long term with a view to clarifying the patronizing and aggravating factors.

Validation of the Visual Cognitive Assessment Test (VCAT) for the Early Diagnosis of Cognitive Impairment in Multilingual Population in Malaysia

As Malaysia undergoes a demographic transformation of population aging, the prevalence of dementia is expected to rise, posing a major public health threat issue. Early screening to detect cognitive impairment is important to implement appropriate clinical interventions. The Visual Cognitive Assessment Test (VCAT) is a language-neutral cognitive assessment screening tool suitable for multilingual populations. This study was aimed to validate the VCAT screening tool for the detection of cognitive impairment amongst the population of Malaysia. A total of 184 participants were recruited, comprising 79 cognitively healthy participants (CHP), 46 mild cognitive impairment (MCI) patients, and 59 mild dementia (Alzheimer’s disease and Vascular Dementia) patients from five hospitals between May 2018 and December 2019 to determine the usefulness of VCAT. Diagnostic performance was assessed using area under the curve (AUC), and receiver operating characteristic (ROC) analysies was performed to determine the recommended cutoff scores. ROC analyses for the VCAT was comparable with that of MoCA (Montreal Cognitive Assessment) in differentiating between CHP, MCI, and mild dementia (AD and VaD) participants. The findings of this study suggest the following optimal cutoff score for VCAT: Dementia 0–19, MCI 20–23, Normal 24–30. The mean ± SD time to complete the VCAT was 10.0 ± 2.75 min in the CHP group and 15.4 ± 4.52 min in the CI group. Results showed that 76.0% of subjects thought that the instructions in VCAT were similar or easier to understand compared with MoCA. This study showed that the VCAT is a valid and useful screening tool for patients with cognitive impairment in Malaysia and is feasible to be used in the clinical settings.

An Introduction to Factored Regression Models with Blimp

In this paper, we provide an introduction to the factored regression framework. This modeling framework applies the rules of probability to break up or “factor” a complex joint distribution into a product of conditional regression models. Using this framework, we can easily specify the complex multivariate models that missing data modeling requires. The article provides a brief conceptual overview of factored regression and describes the functional notation used to conceptualize the models. Furthermore, we present a conceptual overview of how the models are estimated and imputations are obtained. Finally, we discuss how users can use the free software package, Blimp, to estimate the models in the context of a mediation example.

Dietary Habits and Obesity in Patients with Psychotic Disorders in Rural Areas in Northwestern Greece

People suffering from psychotic disorders display high rates of physical morbidity and mortality in comparison to the general population. The present study explores the relation between the dietary habits, the prevalence of obesity and the occurrence of physical morbidity in patients who suffer from psychotic disorders in rural regions of northwest Greece. Two scales were applied to evaluate the quality of life (Quality of Life Questionnaire II, Moorehead–Ardelt) and the dietary habits (Dietary Instrument for Nutrition Education (DINE) Questionnaire) of these patients. The study sample used in this study consisted of 55 patients who suffered from a psychotic disorder. Most (75%) were male, with a mean age of 51.5 years and an average duration of disease of 25.1 years. Of these, 38.2% (21 patients) were obese with a BMI < 30 Kg/m2, 32.7% (16 patients) were overweight and 29.1% had a normal body weight. The majority of the sample, 80%, was treated with second-generation medications. With regards to their dietary habits, 94.5% (52/55) of the sample showed a low intake of fiber content, 67.3% (37/55) showed a high intake of saturated fats and 100% (55/55) a low intake of unsaturated fats. The rates of physical morbidity in the present sample were 21.8% with at least one disease and 14.5% with two diseases, whereas 5.5% met the criteria for metabolic syndrome (MS). The average BMI of the women was statistically significantly higher compared to the men. The majority of the sample (69.1%) exhibited acceptable levels of quality of life. No co-relations of quality of life with BMI were found. In addition, no co-relations of BMI with dietary habits were revealed.

Albanian Migrants in Cyclades: Contact with Mental Health Services and Implications for Practice

The purpose of this study was to examine the potential differences between Albanian migrants and Greeks in the islands of Paros and Antiparos with regard to seeking help from the local public mental health service, namely the Mobile Mental Health Unit of NE Cyclades Islands (EPAPSY-NGO). The study’s instruments include the Global Assessment of Functioning (GAF) and a questionnaire for recording psychosocial profile data and information concerning contact with the services. The results showed that significantly less Albanian migrants contacted the mental health services in the past in comparison to Greeks. When using the service, the Albanians were more likely to see a psychiatrist in the Unit, rather than a psychologist-psychotherapist, and they more often received prescriptions for medication. There was a significantly higher dropout rate among Albanian migrants. This study highlights the different aspects of access and use of mental health services among Albanian migrants compared with native residents. Further research should focus on the factors related to early dropouts and difficulties accessing mental health services in rural areas, in order to develop more focused and effective interventions and improve the quality of care provided.

A Case of Obsessive-Compulsive Disorder Triggered by the Pandemic

Background: The pandemic caused by the sars-cov2 coronavirus can be considered the biggest international public health crisis. Outbreaks of emerging diseases can trigger fear reactions. Strict adherence to the strategies can cause harmful consequences, particularly for people with pathology on the spectrum of obsessive-compulsive disorder. Case presentation: We describe the clinical case of a woman, with a history of anxiety disorder, who develops obsessive-compulsive symptoms, she started cognitive behavioral therapy and pharmacological therapy, with appropriate follow-up. Conclusions: The intense focus on the risk of contamination and the adoption of new hygienic behaviors can be internalized as normative and become an enhancing trigger for obsessive thinking and compulsive behaviors. It is an important focus on prevention, early intervention and adequate follow-up, through measures to promote mental health.

Automated Essay Scoring Using Transformer Models

Automated essay scoring (AES) is gaining increasing attention in the education sector as it significantly reduces the burden of manual scoring and allows ad hoc feedback for learners. Natural language processing based on machine learning has been shown to be particularly suitable for text classification and AES. While many machine-learning approaches for AES still rely on a bag of words (BOW) approach, we consider a transformer-based approach in this paper, compare its performance to a logistic regression model based on the BOW approach, and discuss their differences. The analysis is based on 2088 email responses to a problem-solving task that were manually labeled in terms of politeness. Both transformer models considered in the analysis outperformed without any hyperparameter tuning of the regression-based model. We argue that, for AES tasks such as politeness classification, the transformer-based approach has significant advantages, while a BOW approach suffers from not taking word order into account and reducing the words to their stem. Further, we show how such models can help increase the accuracy of human raters, and we provide a detailed instruction on how to implement transformer-based models for one’s own purposes.

Empirical Evidence for the Functionality Hypothesis in Motor Learning: The Effect of an Attentional Focus Is Task Dependent

A large body of research suggests that during learning motor skills, focusing on environmental effects of the movement (external focus) generally leads to better performance than focusing on one’s own body (internal focus). The functionality hypothesis states, in contrast, that the superiority of any attentional focus is task dependent. The present study aimed to test the predictions of the latter and searched for underlying mechanisms and task characteristics for one or the other focus being more functional. In Experiment 1, we examined whether the internal focus is superior in a difficult body-oriented balance task. In Experiment 2, we added visual feedback and investigated whether this would enhance the functionality of the external focus. In both experiments, the participants stood one-legged on a balance board and had to shift their centre of pressure (COP) to predefined target points. Per instruction, they were asked to interpret their attentional focus on the COP as either internal (the sole of the foot) or external (the platform). In Experiment 1, the external focus was induced through a mental image. The internal focus group performed significantly better, thereby supporting the functionality hypothesis. In Experiment 2, the COP was dynamically visualized on a screen. The internal focus superiority vanished. We suggest that the internal focus is more functional in motor-learning situations that provide more effect information through body-internal senses than through body-external senses. In these cases, the external focus hampers learning because it is associated with additional cognitive load.

Reproducible Research in R: A Tutorial on How to Do the Same Thing More Than Once

Computational reproducibility is the ability to obtain identical results from the same data with the same computer code. It is a building block for transparent and cumulative science because it enables the originator and other researchers, on other computers and later in time, to reproduce and thus understand how results came about, while avoiding a variety of errors that may lead to erroneous reporting of statistical and computational results. In this tutorial, we demonstrate how the R package repro supports researchers in creating fully computationally reproducible research projects with tools from the software engineering community. Building upon this notion of fully automated reproducibility, we present several applications including the preregistration of research plans with code (Preregistration as Code, PAC). PAC eschews all ambiguity of traditional preregistration and offers several more advantages. Making technical advancements that serve reproducibility more widely accessible for researchers holds the potential to innovate the research process and to help it become more productive, credible, and reliable.