Computational Tracking of Mental Health in Youth: Latin American Contributions to a Low-Cost and Effective Solution for Early Psychiatric Diagnosis

The early onset of mental disorders can lead to serious cognitive damage, and timely interventions are needed in order to prevent them. In patients of low socioeconomic status, as is common in Latin America, it can be hard to identify children at risk. Here, we briefly introduce the problem by reviewing the scarce epidemiological data from Latin America regarding the onset of mental disorders, and discussing the difficulties associated with early diagnosis. Then we present computational psychiatry, a new field to which we and other Latin American researchers have contributed methods particularly relevant for the quantitative investigation of psychopathologies manifested during childhood. We focus on new technologies that help to identify mental disease and provide prodromal evaluation, so as to promote early differential diagnosis and intervention. To conclude, we discuss the application of these methods to clinical and educational practice. A comprehensive and quantitative characterization of verbal behavior in children, from hospitals and laboratories to homes and schools, may lead to more effective pedagogical and medical intervention

Painful Symptomatology Reported by Dentistry Students at a Brazilian University

Objectives: Identification of the level of knowledge on ergonomics principles, and application of these by dentistry students to investigate whether painful symptomatology was experienced. An-other objective is the expansion of discussions on occupational health in academic settings. Study Design and Settings: Dentistry students of the Federal University of Rio Grande do Norte, Brazil (n = 148) were surveyed using the Nordic Musculoskeletal Questionnaire to determine the severity of musculoskeletal symptoms experienced. Data were analyzed through EpiInfo 7.0 to measure central trends and variability 5for quantitative variables, absolute and relative frequencies for categorical variables, and significance between groups (confidence intervals and chisquare). Association analysis (Pearson) was also carried out. Results: Ergonomic measures were not reported by students. Within the musculoskeletal symptoms described, females were the most affected, independent of academic level. Conclusions: Positive correlations were verified between all categories and all anatomic regions (e.g., neck, lower back, wrists, hands, and shoulders). Data suggest progressive worsening of symptoms, which will eventually result in leaves of absence.