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Background: Spatial navigation and dual-task (DT) performance may represent a low-cost approach to the identification of the cognitive decline in older adults and may support the clinical diagnosis of mild cognitive impairment (MCI) and Alzheimer’s disease (AD). Objective: To assess the accuracy of different types of motor tasks in differentiating older persons with MCI and AD from healthy peers. Methods: Older adults aged 60 years or over (n = 105; healthy = 39; MCI = 23; AD = 43) were evaluated by the floor maze test (FMT), the senior fitness test, and DT performance. Receiver operating characteristic curve (ROC) analysis was used to evaluate the accuracy of the tests. We also performed principal component analysis (PCA) and logistic regression analysis to explore the variance and possible associations of the variables within the sample. Results: FMT (AUC = 0.84, sensitivity = 75.7%, specificity = 76.1%, p < 0.001) and DT (AUC = 0.87, sensitivity = 80.4%, specificity = 86.9%, p < 0.001) showed the highest performance for distinguishing MCI from AD individuals. Moreover, FMT presented better sensitivity in distinguishing AD patients from their healthy peers (AUC = 0.93, sensitivity = 94%, specificity = 85.6%, p < 0.001) when compared to the Mini-Mental State Examination. PCA revealed that the motor test performance explains a total of 73.9% of the variance of the sample. Additionally, the results of the motor tests were not influenced by age and education. Conclusion: Spatial navigation tests showed better accuracy than usual cognitive screening tests in distinguishing patients with neurocognitive disorders.

The academic literature presents a research-practice gap on the application of decision support tools to address tactical planning problems in real-world organisations. This paper addresses this gap and extends a previous action research relative to an optimisation model applied for tactical capacity planning in an engineer-to-order industrial setting. The issues discussed herein raise new insights to better understand the practical results that can be achieved through the proposed model. The topics presented include the modelling of objectives, the representation of the production process and the costing approach, as well as findings regarding managerial decisions and the scope of action considered. These insights may inspire ideas to academics and practitioners when developing tools for capacity planning problems in similar contexts.

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This study aimed to investigate the relationship between physical ability and spatial navigation in older adults with mild cognitive impairment and healthy controls, using the floor maze test. Study participants (n = 58) were subjected to the following tests: floor maze test, sit-to-stand, 8-foot up-and-go, and aerobic steps. Factorial analyses showed that performance of the physical tests combined explained approximately 87% of the sample variability. Mobility (R2 = .22, p ≤ .001) and aerobic capacity (R2 = .27, p ≤ .001) were both associated with delayed maze time in the floor maze test. Low levels of aerobic capacity were also associated with an increased odds to perform poorly in the delayed maze time after controlling for age, sex, and mild cognitive impairment diagnosis (odds ratio = 3.1; 95% confidence interval [1.0, 9.5]; p = .04). Aerobic capacity and mobility are associated with spatial navigation in patients with mild cognitive impairment and healthy older adults.