Eleven years of data on the Jefferson Scale of Empathy - medical student version: Japanese norm data and tentative cutoff scores.

BACKGROUND: More and more studies investigate medical students' empathy using the Jefferson Scale of Empathy (JSE). However, no norm data or cutoff scores of the JSE for Japanese medical students are available. This study therefore explored Japanese norm data and tentative cutoff scores for the Japanese translation of the JSE-medical student version (JSE-S) using 11 years of data obtained from matriculants from a medical school in Japan. METHODS: Participants were 1,216 students (836 men and 380 women) who matriculated at a medical school in Japan from 2011 to 2021. The JSE-S questionnaire was administered to participants prior to the start of the program. Data were summarized using descriptive statistics and statistical tests were performed to show the norm data and tentative cutoff scores for male and female students separately. RESULTS: The score distributions of the JSE-S were moderately skewed and leptokurtic for the entire sample, with indices -0.75 and 4.78, respectively. The mean score (standard deviation) for all participants was 110.8 (11.8). Women had a significantly higher mean score (112.6) than men (110.0; p < 0.01). The effect size estimate of gender difference was 0.22, indicating a small effect size. The low and high cutoff scores for men were ≤ 91 and ≥ 126, respectively, and the corresponding scores for women were ≤ 97 and ≥ 128, respectively. CONCLUSIONS: This study provides JSE-S norm data and tentative cutoff scores for Japanese medical school matriculants, which would be helpful in identifying those who may need further training to enhance their empathy.

A re-examination of Montreal Cognitive Assessment (MoCA) cutoff scores.

OBJECTIVE: The Montreal Cognitive Assessment (MoCA; Nasreddine et al., 2005) is a cognitive screening tool that aims to differentiate healthy cognitive aging from Mild Cognitive Impairment (MCI). Several validation studies have been conducted on the MoCA, in a variety of clinical populations. Some studies have indicated that the originally suggested cutoff score of 26/30 leads to an inflated rate of false positives, particularly for those of older age and/or lower education. We conducted a systematic review and meta-analysis of the literature to determine the diagnostic accuracy of the MoCA for differentiating healthy cognitive aging from possible MCI. METHODS: Of the 304 studies identified, nine met inclusion criteria for the meta-analysis. These studies were assessed across a range of cutoff scores to determine the respective sensitivities, specificities, positive and negative predictive accuracies, likelihood ratios for positive and negative results, classification accuracies, and Youden indices. RESULTS: Meta-analysis revealed a cutoff score of 23/30 yielded the best diagnostic accuracy across a range of parameters. CONCLUSIONS: A MoCA cutoff score of 23, rather than the initially recommended score of 26, lowers the false positive rate and shows overall better diagnostic accuracy. We recommend the use of this cutoff score going forward. Copyright © 2017 John Wiley & Sons, Ltd.

Clinical Utility of Impact of Event Scale-Revised for Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition Posttraumatic Stress Disorder.

OBJECTIVE: The Impact of Event Scale-Revised (IES-R) is a widely used self-report for assessing posttraumatic stress disorder (PTSD), originally aligned with Diagnostic and Statistical Manual of Mental Disorders (DSM)-IV diagnostic criteria. This study aimed to evaluate the applicability of the IES-R under the DSM-5 guidelines and establish a cutoff point for DSM-5 PTSD diagnosis. METHODS: A total of 238 participants recruited from multiple psychiatric centers, including 67 patients with PTSD, 72 patients with psychiatric controls, and 99 healthy controls, were included in the study. All participants completed the Korean version of the Structured Clinical Interview for the DSM-5 research version to confirm the presence of PTSD, the Korean version of PTSD Checklist for DSM-5 (PCL-5), the Beck Depression Inventory-II, the Beck Anxiety Inventory, and the Spielberger State Trait Anxiety Inventory. RESULTS: The IES-R demonstrated good internal consistency and a high correlation with the PCL-5. Through factor analysis, 5 distinct dimensions emerged within the IES-R: sleep disturbance, intrusion, hyperarousal, avoidance, and numbness-dissociation. A proposed cutoff score of 25 on the IES-R was suggested for identifying patients with PTSD. CONCLUSION: These findings underscore the scale's concurrent validity with the DSM-5 PTSD criteria and its effectiveness as a screening tool. Implementing a cutoff score of 25 on the IES-R can enhance its utility in identifying DSM-5 PTSD cases.

The Imperfect Yet Valuable Difficulties in Emotion Regulation Scale: Factor Structure, Dimensionality, and Possible Cutoff Score.

The Difficulties in Emotion Regulation Scale (DERS) is frequently used to assess emotion regulation (ER) capabilities. Originally a multidimensional scale, many utilize its total score, without clear recommendations. We aimed to explore the DERS's structure, dimensionality, and utility and provide clinicians and researchers with clear guidelines. Self-report data on ER, personality, psychopathology, and life satisfaction were collected from 502 adults. Seventy also participated in a lab study evaluating group interactions, which included additional self-report and physiological monitoring. Findings suggested favoring the correlated-traits and bifactor models, the latter excelling in direct comparisons. The total score was found reliable and valid, explaining 53.3% of the variance, with a distinct emotional awareness subfactor, suggesting a non-pure unidimensional solution. A cutoff score of 95 identified significant ER difficulties, linked to psychopathology. We thus recommend using the DERS's total score and 95 as its cutoff, while calling for further validation in diverse and clinical samples.

Comparing Montreal Cognitive Assessment Performance in Parkinson's Disease Patients: Age- and Education-Adjusted Cutoffs vs. Machine Learning.

OBJECTIVE: The Montreal Cognitive Assessment (MoCA) is recommended for general cognitive evaluation in Parkinson's disease (PD) patients. However, age- and education-adjusted cutoffs specifically for PD have not been developed or systematically validated across PD cohorts with diverse education levels. METHODS: In this retrospective analysis, we utilized data from 1,293 Korean patients with PD whose cognitive diagnoses were determined through comprehensive neuropsychological assessments. Age- and education-adjusted cutoffs were formulated based on 1,202 patients with PD. To identify the optimal machine learning model, clinical parameters and MoCA domain scores from 416 patients with PD were used. Comparative analyses between machine learning. METHODS: and different cutoff criteria were conducted on an additional 91 consecutive patients with PD. RESULTS: The cutoffs for cognitive impairment decrease with increasing age within the same education level. Similarly, lower education levels within the same age group correspond to lower cutoffs. For individuals aged 60-80 years, cutoffs were set as follows: 25 or 24 years for those with more than 12 years of education, 23 or 22 years for 10-12 years, and 21 or 20 years for 7-9 years. Comparisons between age- and education-adjusted cutoffs and the machine learning method showed comparable accuracies. The cutoff method resulted in a higher sensitivity (0.8627), whereas machine learning yielded higher specificity (0.8250). CONCLUSION: Both the age- and education-adjusted cutoff. METHODS: and machine learning. METHODS: demonstrated high effectiveness in detecting cognitive impairment in PD patients. This study highlights the necessity of tailored cutoffs and suggests the potential of machine learning to improve cognitive assessment in PD patients.

Discriminant Potential of the Alzheimer's Disease Assessment Scale-Cognitive Subscale (ADAS-Cog) in Greek Older Adults with Subjective Cognitive Decline and Mild Cognitive Impairment.

Background: Alzheimer's Disease Assessment Scale Cognitive Subscale (ADAS-Cog) is a widely used screening tool for detecting older adults with Alzheimer's disease among their cognitively healthy peers. A previous study in Greek population showed that ADAS-Cog-Greek (G) is a valid tool and can identify people with Alzheimer's disease from older adult control group; however, there is no current data about whether ADAS-Cog can differentiate older adults with mild cognitive impairment (MCI) from those who have subjective cognitive decline (SCD). Objective: The current study aimed to examine the discriminant potential of ADAS-Cog-G in Greek older adults who meet the criteria for SCD or MCI. Methods: Four hundred eighty-two community-dwelling older adults, visitors of the Greek Alzheimer Association and Related Disorders, were enrolled in the current study. One hundred seventy-six of them met the criteria for SCD and three hundred six had MCI. Results: Path analysis applied to the data showed that age, as well as educational level affected ADAS-Cog-G performance. Results showed that the cut-off scores, which better discriminate people with SCD from MCI as well as their sensitivity and specificity values, were extracted in participants with high educational level (13 educational years<) and mainly under the age of 75 years. Conclusions: The current study provided evidence concerning the discriminant potential of ADAS-Cog-G to differentiate older adults with SCD from those with MCI in the Greek population, and therefore contributes to the relevant literature on the field.

Using the Y-balance Test as a Predictor Tool for Evaluating Non-contact Injuries in University League Football Players: A Prospective Longitudinal Study.

Background Football is a highly competitive sport, and participants can experience various contact and non-contact sports injuries in the sporting process. In any elite sport, screening players using different scientific tools is an important injury prevention strategy. The Y- Balance test (YBT) was found to be a predictive tool for non-contact injury. However, the use of criteria from these tests to predict injuries has not been substantiated and should be further investigated. Purpose The aim of this study was to determine the predictors for injury among athletes using baseline YBT, number of matches, and minutes of physical activity; the cutoff scores for predictors of injury, including baseline YBT, number of matches, and minutes of physical activity; and the clinical prediction rules for predicting injury in this population. Methods A total of 39 young student football players were included in this study. The mean age was 20.28 years, and the mean body mass index (BMI) was 23.83 kg/m2. A baseline assessment of the participant's characteristics was taken and each participant performed the YBT once before starting the league. After the university league football players had finished their tournament, we asked them questions related to non-contact injuries. Results The results showed that the prevalence of injury was 17.95% among this population. An increase in the YBT score was significantly associated with a decrease in the odds of having an injury [odds ratio (OR) 95% confidence interval (CI): 0.94 (0.88, 0.99), p = 0.047). In addition, the number of matches was significantly associated with an increase in the odds of having an injury p = 0.012. However, the minutes of physical activity were not statistically significant p = 0.065. The highest Youden index was ≤97.89, with a sensitivity of 87.50% and specificity of 71.43%, for the posterior medial reach and ≤92.88, with a sensitivity of 90.62% and specificity of 57.14%, for the posterior lateral reach. The clinical prediction rule was an area under the curve (AUC) of 0.88. Conclusions The results of the study provide evidence for the potential utility of the YBT as a predictor tool for evaluating non-contact injuries in university league football players. By identifying players with lower YBT scores who were at higher risk for injury, targeted interventions could be implemented to address functional movement deficits and potentially reduce injury risk.

The Importance of Thinking Multivariately When Setting Subscale Cutoff Scores.

Setting cutoff scores is one of the most common practices when using scales to aid in classification purposes. This process is usually done univariately where each optimal cutoff value is decided sequentially, subscale by subscale. While it is widely known that this process necessarily reduces the probability of "passing" such a test, what is not properly recognized is that such a test loses power to meaningfully discriminate between target groups with each new subscale that is introduced. We quantify and describe this property via an analytical exposition highlighting the counterintuitive geometry implied by marginal threshold-setting in multiple dimensions. Recommendations are presented that encourage applied researchers to think jointly, rather than marginally, when setting cutoff scores to ensure an informative test.

Validation of the Greek version of the Abbreviated Mental Test Score: Preliminary findings for cognitively impaired patients of different etiology.

BACKGROUND: Screening people's cognitive skills have been proven essential for reference to full assessment. These methods include short scales, such as the Abbreviated Mental Test Score (AMTS). The AMTS is a valid 10-item questionnaire that has been translated into many languages, but not in Greek yet. The aim of this study is the validation of the Greek version of the AMTS with an additional estimation of its cutoff scores. METHODS: About 132 individuals [60 controls and 72 patients (24 with Parkinson's disease (PD), 24 with Parkinson's disease dementia (PDD), and 24 with Alzheimer's disease (AD)] participated in this study. All participants besides the AMTS completed the Mini Mental State Examination (MMSE), the Tuokko's Clock Drawing Test (CDT), the Instrumental Activities of Daily Living (IADL), the Arizona Battery for Communication Disorders of Dementia (ABCD), the Hellenic versions of the Neuropsychiatric Inventory (NPI), and the Geriatric Depression Scale (GDS-15). RESULTS: Statistically significant differences were found between all subgroups for the AMTS. The AMTS showed high internal consistency (Cronbach alpha = 0.819 and coefficient omega ω = 0.814). A threshold equal to 6.50 (AUC: 0.908, p = 0.000) between groups with and without cognitive impairment was calculated. The AMTS was significantly correlated with the CDT, IADL, and MMSE. CONCLUSION: The proposed version of the AMTS can distinguish between groups with and without cognitive impairment. Additionally, the AMTS is found to be clinically valid having high reliability and classification accuracy. Conclusively, it is a valuable instrument for screening different types of cognitively impaired patients.

The Tuokko version of the Clock Drawing Test: A validation study in the Greek population.

INTRODUCTION: The present study aims to be the first to validate the Tuokko version of the Clock Drawing Test (CDT) and estimate its cutoff score after its translation into the Greek language and administration in the Greek population. METHODS: One hundred and thirty-two individuals participated in this study [60 with Good Cognitive Health (GCH), 24 with Parkinson's Disease (PD), 24 with Parkinson's Disease Dementia (PDD) and 24 with Alzheimer's Disease (AD)]. The CDT was administered to all participants. Additionally, the cognitive and mental status of the sample were estimated through the use of the Mini Mental State Examination (MMSE), Abbreviated Mental Test Score (AMTS), Arizona Battery for Communication Disorders of Dementia (ABCD), Instrumental Activities of Daily Living (IADL), the Neuropsychiatric Inventory (H-NPI) and the Geriatric Depression Scale -15 (GDS-15). RESULTS: Statistically significant differences were found between all groups on the CDT, with AD patients having lower scores than all subgroups in the study. The CDT showed a high internal consistency (Cronbach's alpha = 0.832). The ROC analysis provided a cutoff point equal to 4.00 (AUC: 0.821, p < 0.001) between the Cognitively Unimpaired Group (CUG: GCH and PD group) and the Cognitively Impaired Group (CIG: PPD and AD patients), 5.00 (AUC: 0.845, p < 0.001) between the GCH group and the PDD group, and 4.00 (AUC: 0.780, p < 0.001) between the GCH group and the AD group. Finally, the cutoff point between the PD group and the PDD group was 4.00 (AUC: 0.896, p < 0.005), and 3.00 (AUC: 0.899, p < 0.001) between the PD group and the AD group. Significant positive Pearson's correlations were observed between CDT and MMSE (r = 0.808, p < 0.001), CDT and AMTS (r = 0.688, p < 0.001), CDT and ABCD (r = 0.770, p < 0.001), CDT and the ABCD Visuospatial Construction subdomain (r = 0.880, p < 0.001); while a negative correlation was found between CDT and IADL (r = -0.627, p < 0.001) between the CUG and the CIG groups. CONCLUSION: Given the results obtained, the CDT appears to be a clinically valid screening instrument for the assessment of visuospatial abilities, with high reliability in Greek populations with cognitive impairment.

Accuracy of verbal fluency tests in the discrimination of mild cognitive impairment and probable Alzheimer's disease in older Spanish monolingual individuals.

The main objetive was to analyze the accuracy of different verbal fluency tests (VFTs) in discriminating cognitively healthy subjects from individuals with mild cognitive impairment (MCI) and probable Alzheimer's disease (AD) in a cohort of older Spanish speaking adults. As a result, we aimed to identify the VFT that best predicts conversion from MCI to probable AD. 287 subjects: 170 controls (HC), 90 stable MCI and 27 patients with MCI that evolved into probable AD (MCI-AD) were assessed with a neuropsychological battery test and five VFTs. The animal fluency test produced the best differentiation of HC from MCI (p < .001), of HC from MCI-AD (p < .001) and of MCI from MCI-AD converters (p < .001), with sensitivities 98.8%, 98.8% and 75.6%, respectively. Logistic regression showed that the animal fluency test (p < 0.001) appears to be the most useful and neuropsychological VFT to predict conversion to probable dementia.

Clinical Utility of the Inventory of Depression and Anxiety Symptoms (IDAS).

Depressive and anxiety disorders are severe and disabling conditions that result in substantial cost and global societal burden. Accurate and efficient identification is thus vital to proper diagnosis and treatment of these disorders. The Inventory of Depression and Anxiety Symptoms (IDAS) is a reliable and well-validated measure that provides dimensional assessment of both mood and anxiety disorder symptoms. The current study examined the clinical utility of the IDAS by establishing diagnostic cutoff scores and severity ranges using a large mixed sample (N = 5,750). Results indicated that the IDAS scales are good to excellent predictors of their associated Structured Clinical Interview for DSM-IV diagnoses. These findings were replicated using Diagnostic and Statistical Manual of Mental Disorders-Fifth edition(DSM-5) criteria assessed via the Mini-International Neuropsychiatric Interview. We provide three cutoff scores for each scale that can be used differentially depending on the goal of their use: screening, efficiency, or diagnosis confirmation. The identified severity ranges allow users to characterize individuals as mild, moderate, or severe, providing clinical information beyond diagnostic status. Finally, the 10-item IDAS Dysphoria scale and 20-item General Depression scale demonstrate strong ability to predict internalizing diagnoses and may represent an efficient way to screen for the presence of internalizing psychopathology.

Voice Handicap Index and Interpretation of the Cutoff Points Using Receiver Operating Characteristic Curve as Screening for Young Adult Female Smokers.

The relationship between smoking and alterations of the vocal tract and larynx is well known. This pathology leads to the degradation of voice performance in daily living. Multiple assessment methods of vocal tract and larynx have been developed, and in recent years they were enriched with self-reported questionnaires such as Voice Handicap Index (VHI). This study determined the cutoff points of VHI's total score and its three domains for young female smokers in Greece. These estimated cutoff points could be used by voice specialists as an indicator for further clinical evaluation (foreseeing a potential risk of developing a vocal symptom because of smoking habits). A sample of 120 female nondysphonic smokers (aged 18-31) was recruited. Participants filled out the VHI and Voice Evaluation Form. VHI's cutoff point of total score was calculated at the value of 19.50 (sensitivity: 0.780, 1-specificity: 0.133). Specifically, the construct domain of functional was 7.50 (sensitivity: 0.900, 1-specificity: 0.217), for physical it was 8.50 (sensitivity: 0.867, 1-specificity: 0.483), and for emotional it was 7.50 (sensitivity: 0.833, 1-specificity: 0.200) through the use of receiver operating characteristic. Furthermore, VHI could be used as a monitoring tool for smokers and as a feedback for smoking cessation.

Using Receiver Operating Characteristic Curve to Define the Cutoff Points of Voice Handicap Index Applied to Young Adult Male Smokers.

Voice performance is an inextricable key factor of everyday life. Obviously, the deterioration of voice quality can cause various problems to human communication and can therefore reduce the performance of social skills (relevant to voice). The deterioration could be originated from changes inside the system of the vocal tract and larynx. Various prognostic methods exist, and among them is the Voice Handicap Index (VHI). This tool includes self-reported questionnaires, used for determining the cutoff points of total score and of its three domains relevant to young male Greek smokers. The interpretation of the calculated cutoff points can serve as a strong indicator of imminent or future evaluation by a clinician. Consistent with previous calculation, the VHI can also act as a feedback for smokers' voice condition and as monitoring procedure toward smoking cessation. Specifically, the sample consisted of 130 male nondysphonic smokers (aged 18-33 years) who all participated in the VHI test procedure. The test results (through receiver operating characteristic analysis) concluded to a total cutoff point score of 19.50 (sensitivity: 0.838, 1-specificity: 0). Also, in terms of constructs, the Functional domain was equal to 7.50 (sensitivity: 0.676, 1-specificity: 0.032), the Physical domain was equal to 7.50 (sensitivity: 0.706, 1-specificity: 0.032), and the Emotional domain was equal to 6.50 (sensitivity: 0.809, 1-specificity: 0.048).

Optimal Cutoff Scores for Alzheimer's Disease Using the Chinese Version of Mini-Mental State Examination Among Chinese Population Living in Rural Areas.

To explore the optimal cutoff score for initial detection of Alzheimer's Disease (AD) through the Chinese version of Mini-Mental State Examination (CMMSE) in rural areas in China, we conducted a cross-sectional study within the Linxian General Population Nutritional Follow-up study. 16,488 eligible cohort members participated in the survey and 881 completed the CMMSE. Among 881 participants, the median age (Interquartile range) was 69.00 (10.00), 634 (71.92%) were female, 657 (74.57%) were illiterate, 35 (3.97%) had 6 years of education or higher, and 295 (33.48%) were diagnosed with AD. By reducing the CMMSE criteria for illiterate to 16 points, primary school to 19 points, and middle school or higher to 23 points, the efficiency of Chinese version of Mini-Mental State Examination can be significantly improved for initial detection of AD in rural areas in China, especially in those nutrition deficient areas.

Can the Sensitivity and Specificity of the TOMM Be Increased with Differential Cutoff Scores?

Accurate determination of performance validity is paramount in any neuropsychological assessment. Numerous freestanding symptom validity tests, like the Test of Memory Malingering (TOMM), have been developed to assist in this process; however, research and clinical experiences have suggested that each may not function with the same classification accuracy. In an effort to increase the TOMM's ability to accurately classify performance validity, recent research has investigated the use of nonstandard cutoff scores. The purpose of this study was to potentially validate the use of two, nonstandard cutoff scores (<49 on Trial 2 or the Retention Trial or ≤39 on Trial 1) applied to the TOMM in a medicolegal sample of mild traumatic brain injury litigants. Both descriptive and inferential statistics found that the cutoff of <49 on Trial 2 or the Retention Trial was the most sensitive to performance validity as compared with both the standard TOMM criteria and the cutoff of ≤39. These findings support the use of nonstandard cutoffs to increase the TOMM's classification accuracy.