14 research outputs found

    Preparing for the next pandemic by understanding the impact of COVID-19 mitigation measures on patients with eating Disorders: observations from an inpatient setting

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    ObjectiveThe COVID-19 pandemic overwhelmed eating disorder (ED) services worldwide. Data suggests a worsening of psychopathology and an increased request for specialised treatments. Still, the studies are mostly based on experimental protocols with underpowered short-term opportunistic experimental designs. Thus, this study aims to assess the clinical and psychological differences between patients admitted to a specialised ED Unit before and after the COVID-19 breakout.MethodsConsecutive patients admitted from June 2014 to February 2022 in a specialised EDs Unit were enrolled. A total sample of 498 individuals was enrolled in this retrospective study, collecting demographic and psychopathological data at admission.ResultsAn increase in the admission of patients with anorexia nervosa has been reported, with lower age and higher levels of specific and general psychopathology, especially linked to body uneasiness.ConclusionsResults are put into the context of the preparation for the next pandemic that may require similar mitigation measures as COVID-19 to ensure the impact on existing and new patients. Covering an extended period with validated tools, our results might help psychiatric services to reassess their treatment pathways after the pandemic, helping clinicians to delineate future treatment interventions.KEYPOINTSAfter the COVID-19 breakdown, there was an increase in the admission of patients with anorexia nervosa to specialised services.More severe psychopathology was not accompanied by lower body mass index.Specialised eating disorders services should face sudden changes in patients' requests for treatment.Understanding the impact of the Covid-19 pandemic and the resulting mitigation measures taken can lead to better preparations for the next pandemic

    Maximum Phonation Time as a Predictor of Lactate Threshold during Intermittent Incremental Endurance Test

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    The aim of the present study was to examine whether the exercise intensity corresponding to the lactate threshold may be predicted by the Maximum Phonation Time task (MPT). Ten Greek amateur football players (age: 18.4 ± 1.0 years), performed a graded cycling exercise test to exhaustion in order to determine lactate threshold. A number of physiological variables were measured including perceived exertion, cardiopulmonary values and blood lactate. The MPT variable was correlated with all of the physiological variables. Also, a binary logistic regression analysis was used to investigate whether MPT could predict lactate threshold. The ROC analysis showed specificity to be 0.90 and sensitivity to be 0.70 (optimal screening cutoff point for MPT 9.5 seconds). The results showed an odds ratio of 1.45 indicating a 45% increase in the probability of passing the threshold for every second there was a reduction in voice duration. MPT may be used as a simple, non-invasive, inexpensive method for monitoring exercise intensity during physical exercise. Further research is needed to measure its efficacy in bigger samples and in different sports. © 2021 The Voice Foundatio

    Understanding dropout and non-participation in follow-up evaluation for the benefit of patients and research: evidence from a longitudinal observational study on patients with eating disorders

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    Treatment outcomes in eating disorders (EDs) are still an open field for clinicians and researchers. Besides difficulties in egosyntonic-linked treatment engagements, dropout is one of the most crucial elements that cause a reduction in the treatment efficacy. Thus, the aim of this study is to evaluate factors that could contribute to high dropout rates and non-participation in follow-up evaluation in patients with ED. This study used a large sample of patients from a specialized ED ward and day hospital (DH). A sample of 428 individuals was recruited for this study. Psychological and demographic data were collected at the time of hospitalization and discharge from the facilities. These data were used to explore a possible link between dropout and follow-up non-participation. Specially, the random forest was used to rank demographic and psychological features in importance and evaluate the top results with regression analyses for statistical significance. A dropout rate of 12.14% during inpatient and DH treatment was found. Anger-hostility and general psychopathology were found to be predictors of dropout during treatment, while the duration of the hospitalization predicted non-participation at the six-month follow-up. Specific psychological features should be considered before and during treatments for patients with EDs to reduce dropout rates. The duration of the hospitalization should also be evaluated as a relevant healthcare element that could affect engagement and, accordingly, outcome

    Effects of Four Weeks of In-Season Pre-Workout Supplementation on Performance, Body Composition, Muscle Damage, and Health-Related Markers in Basketball Players: A Randomized Controlled Study

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    This randomized, double-blinded, experimental study investigated the effects of a four-week daily pre-workout supplementation (200 mg caffeine, 3.3 g creatine monohydrate, 3.2 g β-alanine, 6 g citrulline malate, and 5 g BCAA) vs. placebo (isocaloric maltodextrin) on anaerobic (jumping, sprinting, agility, and the running-based anaerobic sprint test: RAST) and aerobic (Yo-Yo intermittent recovery test level 1) performance, as well as on body composition and selective muscle damage/health-related blood markers in well-trained basketball players during the in-season period. Eighteen basketball players (age: 24.4 ± 6.3 years, height: 185.7 ± 8.0 cm, weight: 85.7 ± 12.8 kg, body fat: 16.5 ± 4.2%) were randomly assigned into two groups: pre-workout supplement (PWS, n = 10) or placebo (PL, n = 8). PWS consumption increased aerobic performance (PWS: 8 ± 6%; PL: −2 ± 6%; p = 0.004) compared to PL. A significant decrease was observed in peak (F = 7.0; p = 0.017), average (F = 10.7; p = 0.005), and minimum power (F = 5.1; p = 0.039) following 4 weeks of supplementation in both groups. No other significant changes were observed between groups (p > 0.05). In conclusion, the consumption of the current PWS over a four-week period appears to positively influence the aerobic performance of well-trained basketball players during the in-season period. However, it does not appear to mitigate the observed decline in anaerobic power, nor does it affect performance in jumping, sprinting, and agility, or alter body composition or selective muscle damage/health-related blood markers

    Prediction of the time period of stroke based on ultrasound image analysis of initially asymptomatic carotid plaques

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    Non-invasive ultrasound imaging of carotid plaques can provide information on the characteristics of the arterial wall including the size, morphology and texture of the atherosclerotic plaques. Several studies were carried out that demonstrated the usefulness of these feature sets for differentiating between asymptomatic and symptomatic plaques and their corresponding cerebrovascular risk stratification. The aim of this study was to develop predictive modelling for estimating the time period of a stroke event by determining the risk for short term (less or equal to three years) or long term (more than three years) events. Data from 108 patients that had a stroke event have been used. The information collected included clinical and ultrasound imaging data. The prediction was performed at base line where patients were still asymptomatic. Several image texture analysis and clinical features were used in order to create a classification model. The different features were statistically analyzed and we conclude that image texture analysis features extracted using Spatial Gray Level Dependencies method had the best statistical significance. Several predictive models were derived based on Binary Logistic Regression (BLR) and Support Vector Machines (SVM) modelling. The best results were obtained with the SVM modelling models with an average correct classifications score of 77±7% for differentiating between stroke event occurrences within 3 years versus more than 3 years. Further work is needed in investigating additional multiscale texture analysis features as well as more modelling techniques on more subjects

    Inherited metabolic disorders in Cyprus

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    Selective screening for inherited metabolic disorders (IMD) began in Cyprus in 1990. Over the last thirty-three years 7388 patients were investigated for IMD and 200 diagnoses were made (diagnostic yield 2.7%). The existence of a single laboratory of Biochemical Genetics for the whole island facilitated the creation of a national registry for IMD. The minimal prevalence of IMD in Cyprus is 53.3 cases per 100,000 live births. The most common group are disorders of amino acid metabolism (41.0%), followed by disorders of carbohydrate metabolism (16.5%), disorders of complex molecule degradation (16.5%), mitochondrial disorders (10.5%) and disorders of vitamin and co-factor metabolism (5.5%). Hyperphenylalaninaemia is the most common IMD (14.0%) followed by galactosaemia (7.0%), glutaric aciduria type I (5.5%) and MSUD (4.0%). Some disorders were found to have a relatively high incidence in specific communities, for example Sandhoff disease among the Cypriot Maronites and GM1 gangliosidosis in one particular area of the island. Other disorders were found to have a relatively higher overall incidence, compared to other Caucasian populations, for example galactosaemia, glutaric aciduria type I and MSUD, while fatty acid oxidation defects, Gaucher disease and classic PKU were found to have a relatively lower incidence. Molecular characterization of selected disorders revealed many novel genetic variants, specific to the Cypriot population
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