Determining Appropriate Screening Tools and Cutoffs for Cognitive Impairment in the Chinese Elderly

Background: The Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) are the most commonly used tools for cognitive impairment screening. The present study aimed to investigate the ability of the MOCA and MMSE to differentiate between cognitively normal elderly individuals, MCI patients and dementia patients at different ages and education levels and to establish the optimal cutoff scores of the MoCA and MMSE for MCI and dementia in the Chinese elderly.Methods: A total of 2,954 Chinese elderly individuals, including 1,746 normal controls, 599 MCI patients and 249 dementia patients, were consecutively recruited in the study. The optimal cutoffs for MoCA and MMSE were determined using receiver operating characteristic (ROC) analysis among the different age and education levels in the three groups. Furthermore, comparison of ROC curves were made to evaluate the performances of the two tests.Results: The area under the curve(AUC) of the MoCA (0.82) for detecting MCI was significantly higher than that of the MMSE (0.75) (P < 0.001). When the sample was divided according to age and education level, the AUC of the MoCA (0.84) was higher than those of the MMSE (0.71) for MCI (P < 0.001) in the younger and more highly-educated groups. The optimal cutoff scores of the MoCA for the groups aged ≤ 75 years old and education ≤ 6 years, aged > 75 years old and education ≤ 6 years, aged ≤ 75 years old and education > 6 years, aged > 75 years old and education > 6 years in screening for MCI were identified as 19.5, 15.5, 24.5 and 24.5, respectively, and the optimal cutoff scores for dementia were 18.5, 10.5, 18.5 and 20.5, respectively. For MMSE in the above four groups, the cutoff scores to detect MCI were 26.5, 22.5, 28.5 and 26.5, respectively, and the optimal cutoff scores for dementia were 23.5, 19.5, 23.5 and 23.5, respectively.Conclusion: Compared to MMSE, the MoCA is more suitable for discriminating MCI in younger and more highly educated elderly Chinese individuals. However, the MMSE has advantage over MoCA in screening MCI in individuals with lower education levels and the older groups of Chinese elderly.

Disordered eating symptoms in Austrian men of different ages in the context of fitness centers

Purpose To assess eating behavior and associated factors in male fitness-center attendees. Methods An anonymous questionnaire was administered to male fitness center members of Innsbruck (Austria), aged 18–80 years to assess socio-demographic features, weight history, sports activity, eating behavior including disordered eating based on the Eating Disorder Examination Questionnaire (EDE-Q) and DSM-5 key symptoms for eating disorders (anorexia nervosa, binge eating, bulimia nervosa, purging disorder) and body image. Three age groups (younger—middle-aged—older men) were compared regarding the variables described above. Results A total of 307 men included displayed high rates of disordered eating as described by EDE-Q cutoff scores (5–11%) as well as by DSM-5 eating disorder symptoms (10%). While EDE-Q cutoff scores did not differentiate between the groups, the prevalences of DSM-5 eating disorder symptoms yielded significant differences indicating a clear decrease with increasing age. Binge eating and bulimic symptoms with excessive exercising as the purging method were the most often reported symptoms. Conclusion Although described as typically female, disordered eating does occur in male fitness-gym attendees across all ages. The older the men, the less prevalent are the symptoms. Awareness of disordered eating and possible negative effects need to be addressed for attendees and trainers of the gym. Level of evidence V—descriptive survey study.

King-Devick Sensitivity and Specificity to Concussion in Collegiate Athletes

Context: The King-Devick (K-D) is used to identify oculomotor impairment following concussion. However, the diagnostic accuracy of the K-D over time has not been evaluated. Objective: (a) Examine the sensitivity and specificity of the K-D test at 0–6 hours of injury, 24–48 hours, asymptomatic, return-to-play, and 6-months following concussion and (b) compare outcomes for differentiating athletes with a concussion from non-concussed across confounding factors (sex, age, contact level, school year, learning disorder, ADHD, concussion history, migraine history, administration mode). Design: Retrospective, cross-sectional design. Setting: Multisite institutions within the Concussion Assessment, Research, and Education (CARE) Consortium. Patients or Other Participants: 1239 total collegiate athletes without a concussion (age=20.31±1.18, male=52.2%) were compared to 320 athletes with a concussion (age=19.80±1.41, male=51.3%). Main Outcome Measure(s): We calculated K-D time difference (sec) by subtracting baseline from the most recent time. Receiver operator characteristics (ROC) and area under the curve (AUC) analyses were used to determine the diagnostic accuracy across timepoints. We identified cutoff scores and corresponding specificity at 80% and 70% sensitivity levels. We repeated ROC with AUC outcomes by confounding factors. Results: King-Devick predicted positive results at 0-6 hours (AUC=0.724, p<0.001), 24-48 hours (AUC=0.701, p<0.001), return-to-play (AUC=0.640, P<0.001), and 6-months (AUC=0.615, P<0.001), but not at asymptomatic (AUC=0.513, P=0.497). The 0–6 and 24–48-hour timepoints yielded an 80% sensitivity cutoff score of −2.6 and −3.2 seconds (faster) respectively, but 46% and 41% specificity. The K-D test had significantly better AUC when administered on an iPad (AUC=0.800, 95%CI:0.747,0.854) compared to the spiral card system (AUC=0.646, 95%CI:0.600,0.692; p<0.001). Conclusions: The K-D test has the greatest diagnostic accuracy at 0–6 and 24–48 hours of concussion, but declines across subsequent post-injury timepoints. AUCs did not significantly differentiate between groups for confounding factors. Our negative cutoff scores indicate that practice effects contribute to improved performance, requiring athletes to outperform their baseline.

A-194 TOMM Cutoff Scores Using a Large Sample of Military Personnel

Objective The purpose of this study is to investigate the TOMM cutoff scores obtained in a large sample of military personnel. This study examines the traditional scores and proposes potential new ways to classify malingering using confidence intervals. Method The TOMM was administered as part of a neuropsychological battery a total of 1110 times, with the majority being one time. The battery contained 18 demographic variables and 15 neuropsychological tests. Participants were referred by military neurologists and medical officers for evaluation. Individuals had an initial clinical interview with a neuropsychologist prior to the battery being administered. Results TOMM scores from this sample ranged from 9 to 50. The majority of participants (N = 621, 79.60%) scored between 45 and 50. 26 participants (3.32%) received a 45, and 27 participants (3.46%) received a 44. Confidence intervals using means were calculated for each trial (95% CI [43.81, 44.74], [47.53, 48.28], 47.25, 48.10], respectively). The confidence interval for the average of all three trials was determined as well (95% CI [46.16, 46.95]). Conclusions These findings provide a description of the use of the TOMM with a large military sample. Further, the use of a confidence interval was added to provide a more robust assessment of effort. Future research should consider fitting scores to a probability distribution to determine the likelihood each participant is malingering based on the score they receive.

Evaluating the Beijing Version of Montreal Cognitive Assessment for Identification of Cognitive Impairment in Monolingual Chinese American Older Adults

Objective: This study aims to evaluate the performance of a Chinese version of the Montreal Cognitive Assessment (MoCA) as a screener to detect mild cognitive impairment (MCI) and dementia from normal cognition in the monolingual Chinese-speaking immigrant population. Method: A cohort of 176 Chinese-speaking older adults from the National Alzheimer’s Coordinating Center Uniform Data Set is used for analysis. We explore the impact of demographic variables on MoCA performance and calculate the optimal cutoffs for the detection of MCI and dementia from normal cognition with appropriate demographic adjustment. Results: MoCA performance is predicted by age and education independent of clinical diagnoses, but not by sex, years of living in the U.S., or primary Chinese dialect spoken (i.e., Mandarin vs. Cantonese). With adjustment and stratification for education and age, we identify optimal cutoff scores to detect MCI and dementia, respectively, in this population. These optimal cutoff scores are different from the established scores for non-Chinese-speaking populations residing in the U.S. Conclusions: Our findings suggest that the Chinese version of MoCA is a valid screener to detect cognitive decline in older Chinese-speaking immigrants in the U.S. They also highlight the need for population-based cutoff scores with appropriate considerations for demographic variables.