Graph analysis of verbal fluency test discriminate between patients with Alzheimer’s disease, Mild Cognitive Impairment and normal elderly controls

Verbal fluency is the ability to produce a satisfying sequence of spoken words during a given time interval. The core of verbal fluency lies in the capacity to manage the executive aspects of language. The standard scores of the semantic verbal fluency test are broadly used in the neuropsychological assessment of the elderly, and different analytical methods are likely to extract even more information from the data generated in this test. Graph theory, a mathematical approach to analyze relations between items, represents a promising tool to understand a variety of neuropsychological states. This study reports a graph analysis of data generated by the semantic verbal fluency test by cognitively healthy elderly (NC), patients with Mild Cognitive Impairment – subtypes amnestic(aMCI) and amnestic multiple domain (a+mdMCI) - and patients with Alzheimer’s disease (AD). Sequences of words were represented as a speech graph in which every word corresponded to a node and temporal links between words were represented by directed edges. To characterize the structure of the data we calculated 13 speech graph attributes (SGAs). The individuals were compared when divided in three (NC – MCI – AD) and four (NC – aMCI – a+mdMCI – AD) groups. When the three groups were compared, significant differences were found in the standard measure of correct words produced, and three SGA: diameter, average shortest path, and network density. SGA sorted the elderly groups with good specificity and sensitivity. When the four groups were compared, the groups differed significantly in network density, except between the two MCI subtypes and NC and aMCI. The diameter of the network and the average shortest path were significantly different between the NC and AD, and between aMCI and AD. SGA sorted the elderly in their groups with good specificity and sensitivity, performing better than the standard score of the task. These findings provide support for a new methodological frame to assess the strength of semantic memory through the verbal fluency task, with potential to amplify the predictive power of this test. Graph analysis is likely to become clinically relevant in neurology and psychiatry, and may be particularly useful for the differential diagnosis of the elderly.

Síndrome de Burnout e autoeficácia: um estudo com profissionais de enfermagem de hospitais privados de Natal/RN

This research verifies the influence of the self-efficacy level on burnout syndrome incidence in relation to nursing professionals from private hospitals located in the Municipality of Natal, State of Rio Grande do Norte. The nature of the research was descriptive, and the used data analysis method was quantitative which was developed through SPSS computational package, version 17.0. The used instrument for the investigation was Maslach-Burnout Inventory (MBI), and the General Perceived Self-efficacy Scale (GPSES) was applied to a sample formed from 230 nursing professionals. The statistic techniques to data analysis were: frequency analysis; factor analysis; Cronbach.s alpha; Kaiser-Meyer-Olkin test (KMO); Bartlett efericity test; percentual analysis; Spearman rank correlation analysis; and simple regression. The achieved factors from factor analysis of MBI were the same, taking into account the dimensions which Maslach initially suggested to the instrument (emotional exhaustion, lack of personal realization, and depersonalization). However, one highlights that the low internal consistence of the depersonalization dimension can occur from people.s difficulty (caused by cultural aspects) of assuming this attitude in their work environment. Through GSE, it was achieved a factor which confirmed the unidimensionality showed by the author of the instrument. In relation to the syndrome incidence, it was verified that about 50% of the researched sample presented burnout syndrome evidence. Referring to self-efficacy level, about 65% of the researched sample presented low level of self-efficacy, what can be explained by the work characteristics of these professionals. In relation to the self-efficacy influence on the Burnout syndrome, it was verified that self-efficacy can be one of the aspects which influences occupational stress chronification (burnout), mainly to the personal realization dimension. Therefore, the researched hospital organizations need reflect about their attitudes in respect to their professionals, since the numbers showed a dangerous tendency regarding a predisposition to burnout syndrome of their staff, what implies not only a significant amount of individuals who can present high levels of emotional exhaustion, lack of personal realization, and depersonalization, but also the fact that this group presents low level of self-efficacy