Scores For Tasks Research Articles

Construction and implementation of a laparoscopic skill training course based on a smartphone application and virtual reality

BackgroundTo develop a laparoscopic training course that combines a smartphone application (APP) and virtual reality (VR), and initially evaluate the feasibility and effectiveness of its implementation.MethodsThe Exploring Laparoscopy (Ex-Lap) app was developed to meet training demands. The course was designed by integrating the app with a VR simulator (LapSim®) and animal organ perfusion simulators. From January 2021 to December 2023, 91 participants were enrolled in the study and then divided into 5 separate batches to undergo the first stage of the course. The performance of the participants was evaluated by rating scale, the overall Training and Assessment of Basic Laparoscopic Techniques (TABLT) scores, and pass rates. Statistical analyses were conducted using SPSS 26.0, employing Kruskal-Wallis tests, Chi-squared analysis, and Fisher’s exact test, depending on the data type.ResultsThe Staged Training and Assessment of Laparoscopic Skills (STALS) course was developed, consisting of three stages. The overall pass rates for the first stage across the five batches ranged from 85 to 100%, with no significant difference (P = 0.387). No significant differences were found in the scale scores or TABLT scores for the training tasks among students from different batches (all P > 0.05).ConclusionsThe STALS course is applicable in residency training, demonstrating satisfactory teaching effectiveness and replicability.

Workforce, task performance, and analysis of organ transplant coordinators in Korea: a survey study.

The workload of organ transplant coordinators is increasing as administrative tasks become more diverse with changing laws and regulations. These changes have heightened the demand for organ transplant coordinators with expertise in the field. This study aimed to determine the status of human resources of organ transplant coordinators and conduct job analysis using the Developing A Curriculum (DACUM) method. We conducted a questionnaire survey with 107 transplant coordinators employed at medical centers across Korea. The questionnaire gathered data on general and job-related characteristics of organ transplant coordinators and assessed the importance, difficulty, and frequency of their task elements. The job of organ transplantation was categorized into five duties, 14 tasks, and 97 task elements. These duties included recipient management, donor management, organ donation activation management, organ transplantation administration, and professional capability development. We noted statistically significant differences in the importance scores of organ donation activation based on age, as well as in the difficulty scores for recipient management and administrative tasks based on work experience. Furthermore, the frequency of task performance varied significantly according to the number of coworkers and the total number of transplants conducted. This study confirmed the current status of the workforce and task performance of organ transplant coordinators. The findings will serve as basic data to enhance the expertise of coordinators in the future.

Determining cut-off scores for simulated tasks in Brazilian Air Force military personnel

IntroductionCombat readiness assessments through simulated tasks (STs) have been developed for the Brazilian Air Force (BAF) to establish physical employment standards. Previous research has established BAF critical combat tasks with...

46 Intrusions in Verbal Fluency Tasks in Mild Cognitive Impairment and Dementia: A Longitudinal Analysis

Objective:Research shows intrusions in memory tests can predict cognitive impairment in abnormal aging. However, there still is a need for additional research regarding the association of intrusions in verbal fluency tasks and clinical diagnosis of mild cognitive impairment, and dementia. The aim of this research is to determine if there is an association between intrusion totals in verbal fluency tasks and diagnosis, longitudinally (across 3 years), if there are significant differences between category and phonemic fluency tasks in intrusion total scores, and if progression from cognitively normal (CN) to mild cognitive impairment (MCI) or dementia and from MCI to dementia can be indicated through differences in intrusion scores.Participants and Methods:Participants were recruited from the Memory Disorders Center at Wien Center for Alzheimer’s Disease and Memory Disorders at Mount Sinai Medical Center in Miami, Florida to take part in the ongoing 1Florida Alzheimer’s Disease Research Center (ADRC) project. At baseline, participants had an average of 15 years of education (M = 15.00, SD = 3.65), were an average of 72.24 years old (M = 72.24, SD = 7.99), and were 62.93% female. At baseline (Visit/ year 1), there were 88 CN, 229 MCI, and 58 dementia participants. Participants were asked to complete Categorical and Phonemic verbal fluency tasks in which correct words said and intrusions were collected. Intrusion totals were quantified as the sum of intrusions within each subsection of the tasks (i.e., fruits, vegetables, and animals for the category; F, L, A, S for phonemic). Intrusion totals and correct words were analyzed across diagnostic groups and progressor vs. non-progressor groups.Results:Results indicated that intrusions are significantly associated with diagnosis in Phonemic fluency tasks, however, this was not the case for Category fluency tasks. Higher phonemic fluency task intrusions were associated with more severe cognitive decline. In progressor versus non-progressor groups there were no significant differences in intrusion totals. Lower correct scores for category and phonemic fluency tasks were found to be significantly associated with increased severity of diagnosis. Lower correct scores also significantly predicted progressor classification.Conclusions:These findings suggest possible association of higher intrusion errors in verbal fluency tasks with more severe cognitive decline. Although these indications were significant, further research exploring intrusions and cognitive diagnosis are still needed.

Performance of the ENSEAL X1 Curved Jaw Tissue Sealer in thoracic procedures in a Japanese cohort: a case series report

BackgroundAdvanced vessel sealing electrosurgical systems have been widely adopted for grasping, cutting, and sealing vessels. Data remain sparse with regard to its use in thoracic procedures. Thus, a prospective case series, utilizing the ENSEAL X1 Curved Jaw Tissue Sealer (X1CJ) and its companion energy source, the Generator 11 (GEN11), in thoracic procedures was performed in a Japanese cohort.MethodsSubjects were recruited at two Japanese surgical sites. The primary endpoint of this post-market study was the achievement of hemostasis (≤ Grade 3) for each thoracic vessel transection. Performance endpoints included scores for tasks completed with X1CJ (adhesiolysis, lymphatics or tissue bundles divided, tissue grasping, tissue cutting, or tissue dissection); hemostasis grading vessel transected; additional products required to achieve hemostasis for Grade 4 vessel transections. Safety was evaluated by evaluating device-related adverse events. All endpoint data were summarized.ResultsForty subjects (50.0% female) of Asian ethnicity with a mean age of 67.6 ± 11.3 years underwent a lung resection. Estimated mean blood loss was 39.5 mL. Hemostasis was achieved in 97.5% of vessel transections. Thirty-seven vessel sealings resulted in a hemostatic Grade 1 (92.5%). All surgeons reported satisfaction/neutral in terms of tissue grasping (100.0%) while most reported satisfaction/neutral with tissue cutting (95.7%). One device-related serious adverse event was reported (2.5%), a chylothorax requiring an extension of hospitalization. There was no post-operative bleeding or deaths reported during the study period.ConclusionThe X1CJ demonstrated safe and effective performance without any reports of significant intra-operative or post-operative hemorrhage in thoracic vessel sealing.

Efficacy of front-of-pack warning label system versus guideline for daily amount on healthfulness perception, purchase intention and objective understanding of nutrient content of food products in Guatemala: a cross-over cluster randomized controlled experiment

BackgroundFront-of-package warning labels (FOPWL) have been adopted in many countries aiming at reducing the consumption of unhealthy food and drink products and have also been considered in Guatemala. The aim of the study is to evaluate the efficacy of FOPWL versus Guidelines for Daily Amount (GDA) on products’ healthfulness perception (HP), purchase intention (PI) and the objective understanding of the nutrient content (UNC) in Guatemala.MethodsParticipants (children and adults) (n = 356) were randomly assigned to evaluate either FOPWL or GDA during a crossover cluster randomized experiment in rural and urban areas across 3 phases of exposure. During phase 1, participants evaluated mock-up images of single products (single task) and compared pairs of products within the same food category (comparison task) without any label. In phase 2, participants evaluated labels only (without any product), and during phase 3, they evaluated the same products and questions from phase 1, now depicting the assigned front-of-package label. We generated indicators for single-task questions and scores for comparison tasks, one for each HP, PI and UNC questions. We used intention-to-treat, difference-in-difference regression analysis to test whether exposure to FOPWL was associated with HP, PI and UNC, compared to GDA. We also tested models for children and adults and by area (rural/urban) separately adjusting for sociodemographic variables.ResultsIn single tasks, FOPWL significantly decreased the PI (β -18.1, 95%CI -23.3, -12.8; p < 0.001) and the HP (β -13.2, 95%CI -18.4, -7.9; p < 0.001) of unhealthy food products compared to GDA. In the comparison task, FOPWL significantly increased the UNC (β 20.4, 95%CI 17.0, 23.9; p < 0.001), improved PI towards healthier choices (OR 4.5, 95%CI 2.9, 7.0 p < 0.001) and HP (OR 5.6, 95%CI 2.8, 11.1; p < 0.001) compared to GDA. Similar results were found in children and adults and in urban and rural settings.ConclusionsFOPWL reduces products’ healthfulness perception and purchase intention, and increases understanding of products’ nutrient content compared to GDA.

Impact of media multitasking on executive function in adolescents: behavioral and self-reported evidence from a one-year longitudinal study

PurposeThe longitudinal impact of media multitasking on the development of executive function has been understudied, as most of the existing studies are cross-sectional. This longitudinal study addresses this research gap and uses multiple measures, i.e. behavioral and self-reported, to explore the impact of media multitasking on the executive function of Chinese adolescents.Design/methodology/approachThis study followed 99 Chinese adolescents (Mage = 14.41, SD = 1.10; 42 boys and 57 girls) for one year using both behavioral (2-back, Stroop Color and Number-letter tasks) and self-reported (questionnaire) measures. The adolescents were categorized as either heavy/high media multitaskers (HMMs; 19 boys and 29 girls) or light/low media multitaskers (LMMs; 23 boys and 28 girls). They were tested at baseline, 6 months later and 12 months later.FindingsThe results indicated that the accuracy scores for all cognitive tasks differed with age, but the switch-cost in the shifting task and the self-reported measures of executive function did not. And there were consistent differences between the HMMs and LMMs in the self-reported measures and 2-back accuracy. However, the interaction effect was found only in shifting ability, indicating a decline in the LMMs' self-reported problematic shifting behavior in daily life.Originality/valueThis study used behavioral and self-reported measures to confirm the longitudinal impact of media multitasking on executive function. The impact of media multitasking on executive function is more apparent in daily-life behavior than in cognitive task performance.

Unbiased post-error slowing in interference tasks: A confound and a simple solution

We typically slow down after committing an error, an effect termed post-error slowing (PES). Traditionally, PES has been calculated by subtracting post-correct from post-error RTs. Dutilh et al. (Journal of Mathematical Psychology, 56(3), 208-216, 2012), however, showed PES values calculated in this way are potentially biased. Therefore, they proposed to compute robust PES scores by subtracting pre-error RTs from post-error RTs. Based on data from a large-scale study using the flanker task, we show that both traditional and robust PES estimates can be biased. The source of the bias are differential imbalances in the percentage of congruent vs. incongruent post-correct, pre-error, and post-error trials. Specifically, we found that post-correct, pre-error, and post-error trials were more likely to be congruent than incongruent, with the size of the imbalance depending on the trial type as well as the length of the response-stimulus interval (RSI). In our study, for trials preceded by a 700-ms RSI, the percentages of congruent trials were 62% for post-correct trials, 66% for pre-error trials, and 56% for post-error trials. Relative to unbiased estimates, these imbalances inflated traditional PES estimates by 37% (9 ms) and robust PES estimates by 42% (16 ms) when individual-participant means were calculated. When individual-participant medians were calculated, the biases were even more pronounced (40% and 50% inflation, respectively). To obtain unbiased PES scores for interference tasks, we propose to compute unweighted individual-participant means by initially calculating mean RTs for congruent and incongruent trials separately, before averaging congruent and incongruent mean RTs to calculate means for post-correct, pre-error and post-error trials.

Longitudinal effect of high frequency training on CPR performance during simulated and actual pediatric cardiac arrest

Study aimTo determine the impact of high-frequency CPR training on performance during simulated and real pediatric CPR events in a pediatric emergency department (ED). MethodsProspective observational study. A high-frequency CPR training program (Resuscitation Quality Improvement (RQI)) was implemented among ED providers in a children’s hospital. Data on CPR performance was collected longitundinally during quarterly retraining sessions; scores were analyzed between quarter 1 and quarter 4 by nonparametric methods. Data on CPR performance during actual patient events was collected by simultaneous combination of video review and compression monitor devices to allow measurement of CPR quality by individual providers; linear mixed effects models were used to analyze the association between RQI components and CPR quality. Results159 providers completed four consecutive RQI sessions. Scores for all CPR tasks during retraining sessions significantly improved during the study period. 28 actual CPR events were captured during the study period; 49 observations of RQI trained providers performing CPR on children were analyzed. A significant association was found between the number of prior RQI sessions and the percent of compressions meeting guidelines for rate (β coefficient -0.08; standard error 0.04; p = 0.03). ConclusionsOver a 15 month period, RQI resulted in improved performance during training sessions for all skills. A significant association was found between number of sessions and adherence to compression rate guidelines during real patient events. Fewer than 30% of providers performed CPR on a patient during the study period. Multicenter studies over longer time periods should be undertaken to overcome the limitation of these rare events.

The impact of the universities closure on physical activity and academic performance in physical education in university students during the COVID-19 pandemic

Background and Study Aim. Physical activity (PA) is regarded as a critical component of a healthy lifestyle and disease prevention. Different constraints placed upon social interaction and public spaces due to COVID-19 could decrease PA and academic performance in physical education (PE) in student population. The purpose of the research was to assess overall and sport/fitness PA level and academic performance in PE in a sample of university students pre- to post-cancellation of face-to-face PE classes due to the COVID-19 pandemic.&#x0D; Material and Methods. Participants (n=209) – university students (19-20 years old). The overall period of the research is September-December 2020. All participants (male–n=106 and female–n=103) were divided into approximately equal groups: humanities students (male–MG-1, female–FG-1), medicine students (male–MG-2, female–FG-2), technical students (male–MG-3, female–FG-3). The main research tools: modified student self-reported questionnaire (on the base of IPAQ), academic grading (scores for self-completed PE tasks). In surveys, all participants self-rated overall and sport/fitness PA level pre- to post-cancellation of face-to-face PE classes. The participants had to complete 32 special PE tasks, during the research period. PE teachers rated participants by a special grading scale.&#x0D; Results. For the male and female students’ groups there were no significant differences of overall PA, sport/fitness PA level and academic performance in PE pre-cancellation of face-to-face PE classes. All participants significantly (p≤0.05) decreased overall PA, sport/fitness PA level and academic performance in PE post-cancellation. There was a significant (p≤0.05) large amount of overall PA level in MG-2 students and sport/fitness PA level in MG-1 students’ post-cancellation of face-to-face PE classes. For the male students there were no significant differences of grading in PE pre- to post-cancellation of face-to-face PE classes between participants groups. There was a significant (p≤0.05) large amount of overall PA level post-cancellation of face-to-face PE classes in FG-2 students. There was a significantly (p≤0.05) lower amount of sport/fitness PA level post-cancellation of face-to-face PE classes in FG-3 students. There was a significant drop in mean grading scores in PE post-cancellation of face-to-face PE classes in students. FG-2 participants had significantly (p≤0.05) higher grading scores in PE post-cancellation of face-to-face PE classes.&#x0D; Conclusions. The universities closure and cancellation of face-to-face PE classes due to the COVID-19 pandemic decreased overall PA, sport/fitness PA level and academic performance in PE in all participants. It is important to note that the proportional decrease in overall PA for the male students was actually large, then decrease in overall PA for the female students was less. The findings highlight the need for active interventions of PA promotion targeted at the student population in the context of self-isolation measures during the COVID-19 pandemic.

Graph Embedding via Graph Summarization

Graph representation learning aims to represent the structural and semantic information of graph objects as dense real value vectors in low dimensional space by machine learning. It is widely used in node classification, link prediction, and recommendation systems. However, directly computing the embeddings for original graphs is prohibitively inefficient, especially for large-scale graphs. To address this issue, we present the GSE (Graph Summarization Embedding) model, a more efficient model that computes the nodes’ embeddings based on graph summarization. Specifically, the model first searches for the minimum information entropy of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula> groups to transform the original graph into a hypergraph with higher-order structural features. Next, the summarization graph’s connection probabilities are used to determine the biased random walks on the hypergraph, which then generates the sequences of the super-nodes. Finally, the node sequences are fed into the skip-gram to generate the vectors of these nodes. Our proposed model improves the efficiency of graph embedding on big data graphs and effectively alleviates the local optimal problem caused by the random walks. Experimental results demonstrate that GSE outperforms main existing clustering baselines, such as K_Means Clustering, Affinity Propagation Clustering, Canopy Clustering, and ACP Clustering. Moreover, our model can be coupled with the main graph embedding methods and improves the Macro-F1 scores and Micro-F1 scores for classification tasks on a variety of real-world graph data.

Control of Synthetic Feasibility of Compounds Generated with CReM.

Synthetic feasibility of compounds generated with de novo approaches is one of the main issues, which may limit their applicability. Many of the de novo generation approaches do not address this issue. Here, we studied the recently implemented chemically reasonable mutations approach (CReM) and the ways how one could indirectly control synthetic complexity of generated compounds and how this affected the target scores for Guacamol benchmark tasks. We found a clear trade-off between synthetic complexity and target scores and demonstrated that CReM-based solutions were competitive to reference approaches, which were explicitly biased by synthetic feasibility of generated compounds.

Comparing Participant-Reported Confidence during Laparoscopic Vaginal Cuff Suturing after Training with Two Laparoscopic Simulators

Study Objective To determine if participants’ self-reported confidence level with performing a laparoscopic gynecologic surgical task was higher after training with a gynecology-specific laparoscopic trainer. Design Randomized controlled trial incorporating block randomization and a masked design. Setting Participants were trained and tested during a four-hour session in the Northwestern Center for Advanced Surgical Education simulation lab. Patients or Participants 45 surgically naive premedical and preclinical medical students were recruited from June-November 2019. Interventions Participants were randomized into two laparoscopic simulator groups – Essentials in Minimally Invasive Gynecology (EMIG) or Fundamentals of Laparoscopic Surgery (FLS) – then underwent training on relevant simulation tasks for 2.5 hours (including peg transfer and intracorporeal knot tying). Measurements and Main Results Participants completed a video-recorded pre-test and post-test on a laparoscopic vaginal cuff suturing model. Videos were masked then graded using a modified version of the Global Operative Assessment of Laparoscopic Skills (GOALS) tool by high-volume minimally invasive gynecologic surgeons. Participants were not aware of their GOALS scores. All participants completed a survey at the conclusion of the session, rating their confidence level during each laparoscopic simulation task on a 5-point Likert scale. Confidence scores were compared using two sample t-tests with unequal variances. No statistically significant differences in confidence levels were noted between EMIG and FLS participants: peg transfer (diff=0.03, p=0.88), intracorporeal knot tying (diff=0.15, p=0.55) and vaginal cuff suturing (diff=0.41, p=0.11). Conclusion Neither EMIG participants nor FLS participants had higher self-rated confidence scores for the simulator tasks or the vaginal cuff suturing task with regard to statistical significance. However, when examining the raw data, confidence scores for all three tasks were higher for EMIG participants than FLS participants. These results suggest that EMIG-randomized participants may have felt better prepared to complete a laparoscopic gynecologic surgical task; however, larger studies are needed to demonstrate this conclusively.

Rey Complex Figure Test (RCFT): Norms for the Greek older adult population

Background The Rey Complex Figure Test (RCFT) is an integral part of every neuropsychological assessment, measuring visuoconstructional abilities in research and clinical practice. Aims Our goal was to create norms for the Greek older adults over 50 years old since there is no previous relevant study in Greece. Methods The RCFT was administered to 228 cognitively intact individuals aged 50 to 87 years (M = 64.12, SD = 8.69) with education from 3 to 23 years (M = 11.5, SD = 4.45). First, regression analyses explored the impact of demographics on RCFT performance. Afterwards, we calculated normative data using raw scores and transformed to percentile scores for RCFT Copy, Immediate recall, Delayed Recall, and Recognition tasks. Results Age and education were predictors of the Copy and Recall trials, whereas gender was not, having as the only exception the Recognition condition. Greek normative data adjusted for age and education level for the three RCFT conditions and gender for the Recognition trial are presented, as well as the relationship between the RCFT sub tasks. Discussion This is the first study measuring the RCFT norms in cognitively intact Greek older adults. Conclusions Future studies should measure the psychometric properties of RCFT in this population.

Block and Random Practice: A Wii Fit Dynamic Balance Training in Older Adults

ABSTRACT Purpose: To compare the effectiveness of blocked and random practice schedules of balance training in dynamic balance abilities of older adults using Wii Fit balance game tasks. Method: Forty-one participants who were not receiving hospice care or living in a nursing home participated. Three Wii Fit balance tasks (tasks A, B, and C) were selected for training, and one task (task D) was selected as the transfer test among the nine tasks in the Wii Fit balance game software. Scores for tasks A and D were evaluated. Completion times for tasks B and C were evaluated. Moved distance for the functional reach test (FRT), completion time for the timed up and go test (TUG), and performance score for the Tinetti performance‐oriented mobility assessment (POMA) were also tested as clinical balance assessment outcomes. Results: The training significantly improved the performance outcomes of clinical balance assessments and task D. There were no significant group × time interaction effects and no significant main effects by group during the acquisition and retention periods of tasks A, B, and C. However, significant main effects by time were observed for tasks A, B, and C. Conclusions: When dynamic balance training such as the Wii Fit balance system is administered to older adults in a clinical setting, either a block or a random practice schedule can be effectively used to improve the dynamic balance skills. Wii Fit–based balance training is clinically effective for improving the dynamic balance ability.

BEHRT: Transformer for Electronic Health Records

Today, despite decades of developments in medicine and the growing interest in precision healthcare, vast majority of diagnoses happen once patients begin to show noticeable signs of illness. Early indication and detection of diseases, however, can provide patients and carers with the chance of early intervention, better disease management, and efficient allocation of healthcare resources. The latest developments in machine learning (including deep learning) provides a great opportunity to address this unmet need. In this study, we introduce BEHRT: A deep neural sequence transduction model for electronic health records (EHR), capable of simultaneously predicting the likelihood of 301 conditions in one’s future visits. When trained and evaluated on the data from nearly 1.6 million individuals, BEHRT shows a striking improvement of 8.0–13.2% (in terms of average precision scores for different tasks), over the existing state-of-the-art deep EHR models. In addition to its scalability and superior accuracy, BEHRT enables personalised interpretation of its predictions; its flexible architecture enables it to incorporate multiple heterogeneous concepts (e.g., diagnosis, medication, measurements, and more) to further improve the accuracy of its predictions; its (pre-)training results in disease and patient representations can be useful for future studies (i.e., transfer learning).

Novel Volumetric Sub-region Segmentation in Brain Tumors.

A novel deep learning based model called Multi-Planar Spatial Convolutional Neural Network (MPS-CNN) is proposed for effective, automated segmentation of different sub-regions viz. peritumoral edema (ED), necrotic core (NCR), enhancing and non-enhancing tumor core (ET/NET), from multi-modal MR images of the brain. An encoder-decoder type CNN model is designed for pixel-wise segmentation of the tumor along three anatomical planes (axial, sagittal, and coronal) at the slice level. These are then combined, by incorporating a consensus fusion strategy with a fully connected Conditional Random Field (CRF) based post-refinement, to produce the final volumetric segmentation of the tumor and its constituent sub-regions. Concepts, such as spatial-pooling and unpooling are used to preserve the spatial locations of the edge pixels, for reducing segmentation error around the boundaries. A new aggregated loss function is also developed for effectively handling data imbalance. The MPS-CNN is trained and validated on the recent Multimodal Brain Tumor Segmentation Challenge (BraTS) 2018 dataset. The Dice scores obtained for the validation set for whole tumor (WT :NCR/NE +ET +ED), tumor core (TC:NCR/NET +ET), and enhancing tumor (ET) are 0.90216, 0.87247, and 0.82445. The proposed MPS-CNN is found to perform the best (based on leaderboard scores) for ET and TC segmentation tasks, in terms of both the quantitative measures (viz. Dice and Hausdorff). In case of the WT segmentation it also achieved the second highest accuracy, with a score which was only 1% less than that of the best performing method.

Effects of Chewing Frequency on Cerebral Blood Flow and Cognitive Function

The purpose of the present study was to examine the effect of the frequency of mastication on cerebral activation and task scores for computational tasks. Eleven healthy subjects participated in the present study (nine women, two men). Subjects carried out the Uchida-Kraepelin Test for 15 min before and after chewing tasteless gum for five minutes. The oxygenation of the left prefrontal cortex was monitored by near-infrared spectroscopy during the computational tasks. Task scores did not differ significantly according to chewing frequency (p > 0.05). Conversely, the oxygenation value measured after mastication at a chewing frequency of 110 times/minute (Hz) was significantly higher than that observed before mastication (p 0.05 for both). The results of the present study suggest that tasteless mastication does not enhance calculation performance, while a high mastication frequency demonstrates an influence on oxygenation. However, our study indicates that chewing tasteless gum per se does not increase cognitive performance.

Intern preparedness for the CanMEDS roles and the Dunning-Kruger effect: a survey

BackgroundThe purpose of this study was to determine whether the first cohort of graduates from a new undergraduate medical programme in Botswana were adequately prepared for internship.MethodsThe authors surveyed 27 interns and 13 intern supervisors on site, who rated intern preparedness for 44 tasks using a previously validated instrument. Tasks were grouped according to the seven roles of the physician in the CanMEDS framework and Cronbach α values confirmed internal consistency. To determine the direction of differences between intern and supervisor ratings for tasks Likert scale ratings were treated as interval data and mean scores calculated. Rating frequencies for each role were compared using the χ2 statistic. Reasons for differences between intern and supervisor ratings were explored by determining correlations between scores using the Spearman ρ statistic, and analysing qualitative data generated by the questionnaire.ResultsPreparedness for all seven roles and the majority of tasks was found to be between ‘Fairly well prepared’ and ‘Well prepared’. The ratings for four roles (Medical expert, Communicator, Collaborator, Professional) differed statistically, but not for the three others (Leader, Health advocate, Scholar). Interns rated their proficiency higher than their supervisors for the tasks in six roles; for the ‘Professional’ role intern ratings were mostly lower. Correlations between intern and supervisors scores were only significant for three roles (Medical expert, Communicator, Collaborator). Qualitative data provided further insights into the reasons for these associations.ConclusionsIntern preparedness for tasks and roles varied but was generally satisfactory. Based on the analysis of the data seeming discrepancies in between interns and supervisor ratings were investigated and explanations are offered. For three roles the data indicate that their component tasks are understood in the same way by interns and supervisors, but not for the other roles. The Dunning-Kruger effect offers a plausible explanation for higher intern scores for tasks in six of the roles. For the ‘Professional’ role differences between interns’ internal, individual understanding and supervisors’ external, group understanding may explain lower intern scores. The fact that respondents may understand the tasks they rate differently has implications for all research of this nature.

Functional risk for fracture by safe functional motion testing: a short version of the safe functional motion test.

Background:‘Unsafe’ movement strategies used to perform everyday activities were quantified using scores for tasks included in the Short Form Safe Functional Motion test series (SSFM). Baseline scores were independently associated with incident fractures after adjusting for factors known to effect fracture risk. The purpose of the present study is to determine whether the SSFM, a series of tests of habitual motion, is associated with incident fragility fracture at any skeletal sites.Methods:An osteoporosis clinic database was queried for adults with baseline SSFM scores and corresponding data for prevalent fractures, femoral neck bone mineral density (fnBMD), osteoporosis medication use, and incident fractures at 1-year and 3-year follow ups [n = 1700 (118 incident fractures) and n = 1058 (202 incident fractures), respectively]. Multiple logistic regressions, adjusted for sex, age, fnBMD, osteoporosis medication use, and any prevalent fractures at baseline, were used to determine whether baseline SSFM scores were associated with incident fragility fractures.Results:An Sfm-3 score was a significant independent predictor of any fracture at 1 year [adjusted odds ratio (95% CI) = 1.118 (1.025, 1.219) for each 10-point decrease in Sfm-3; p = 0.012], and 3-year follow up [adjusted odds ratio (95% CI) = 1.183 (1.098, 1.274) for each 10-point decrease in Sfm-3; p < 0.0001].Conclusions:Scores on the SSFM predict fracture risk such that for each 10-point drop in score the odds of fracture are increased by up to 18% independent of risk associated with age, bone mineral density, use of bone-sparing medications, and history of a fracture.