Publications by authors named "S T Nogueira"
Mental illnesses are prevalent among children and adolescents worldwide and may be associated with food consumption. This protocol aims to evaluate the association between food consumption and mental health in children and adolescents through a systematic review and meta-analysis. The electronic search will include keywords related to childhood, adolescence, mental health issues (e.
View Article and Find Full Text PDFThe purpose of this study was to investigate the influence of the color of positioning guides on the CIEL*a*b* color coordinates of ceramic, resin composite and bovine tooth surfaces measured by a clinical spectrophotometer. Positioning guides (n=10) in different colors (translucent, purple, yellow, green and, blue) were made for each surface (ceramic, resin composite and bovine tooth). The CIEL*a*b* color coordinates were measured with the positioning guides and with no positioning guide (control group).
View Article and Find Full Text PDFArticle Synopsis
- CrossFit® is a popular training method aimed at improving physical fitness, but there's limited research on bruxism (teeth grinding/clenching) among its practitioners, despite previous suggestions of increased clenching during weightlifting.
- The study examined bruxism signs in 57 CrossFit® practitioners, using various questionnaires and assessments to gather data on oral behaviors and related health metrics.
- Findings showed a high prevalence of teeth clenching (61.4%) and dental issues like tooth wear and lesions, but no clear link was established between bruxism signs and the intensity of physical activity, highlighting the need for dental health education in CrossFit® communities.
Pilot deployment of a cloud-based universal medical image repository in a large public health system: A protocol study.
PLoS One
August 2024
This paper outlines the protocol for the deployment of a cloud-based universal medical image repository system. The proposal aims not only at the deployment but also at the automatic expansion of the platform, incorporating Artificial Intelligence (AI) for the analysis of medical image examinations. The methodology encompasses efficient data management through a universal database, along with the deployment of various AI models designed to assist in diagnostic decision-making.
View Article and Find Full Text PDFAim: The aim of this study was to evaluate the measurement properties of activity monitoring for a rehabilitation (AMoR) platform for step counting, time spent in sedentary behavior, and postural changes during activities of daily living (ADLs) in a simulated home environment.
Methods: Twenty-one individuals in the post-stroke chronic phase used the AMoR platform during an ADL protocol and were monitored by a video camera. Spearman's correlation coefficient, mean absolute percent error (MAPE), intraclass correlation coefficient (ICC), and Bland-Altman plot analyses were used to estimate the validity and reliability between the AMoR platform and the video for step counting, time spent sitting/lying, and postural changes from sit-to-stand (SI-ST) and sit-to-stand (ST-SI).