Percorrer por autor "Matias, Catarina N."
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- Development and validation of an anthropometric equation to predict fat mass percentage in professional and semi-professional male futsal playersPublication . Giro, Rita; Matias, Catarina N.; Campa, Francesco; Santos, Diana A.; Cavaca, Margarida L.; Duque, Pedro; Oliveira, Marco; Matos, Nuno; Vicente, Filipa; Pereira, Paula; Santos, Heitor O.; Tinsley, Grant M.; Teixeira, Filipe J.This study aimed to (i) characterise the body composition of professional and semi-professional male futsal players, (ii) assess the validity of commonly used equations to estimate FM%, (iii) develop and cross-validate a futsal-specific FM% prediction equation. In a cross-sectional design, 78 adult male futsal players were assessed for body mass, stature, skinfolds, and girths as per the International Society for the Advancement of Kinanthropometry protocol and completed a dual-energy X-ray absorptiometry (DXA) scan for reference body composition data. Using paired-sample t-tests, the FM% from the DXA and nine published equations were compared. New sport-specific models were developed by stepwise multiple regression. Existing equations were cross-validated using the least squares regression, concordance correlation coefficient, and the Bland–Altman analyses. New equations were further cross-validated using the PRESS approach. None of the existing equations accurately predicted the DXA-derived FM% (p < 0.001; R2 ≤ 0.76, SEE ≥ 1.59; CCC ≤ 0.83; bias = −8.2% to −1.3%, limited agreement, and varying trends). The novel Bettery® equation: −0.620 + (0.159 ∗ Σ4SKF [triceps, abdominal, iliac crest, and front thigh (mm)]) + (0.120 ∗ waist girth (cm)), demonstrated a high accuracy (R2 = 0.85, SEE = 1.32%), a moderate strength of agreement (CCC = 0.92), no bias (0.2%), good agreement (±2.5%), and no trend (r = −0.157; p = 0.170) against the DXA. The Bettery® equation is the first to allow for a valid and sport-specific assessment of FM% in male futsal players.
- Game on : a cross-sectional study on gamers’ mental health, game patterns, physical activity, eating and sleeping habitsPublication . Matias, Catarina N.; Cardoso, Joana; Cavaca, Margarida L.; Cardoso, Sofia; Giro, Rita; Vaz, João R.; Couto, Pedro A.; Dores, Artemisa Rocha; Ferreira, Tiago B.; Tinsley, G.M.; Teixeira, Filipe J.Introduction and purpose: Problematic gaming patterns have been associated with mental disorders and an unhealthy lifestyle pattern characterized by poor physical activity, nutritional habits, and sleep patterns. Thus, our objective was to characterize highly engaged Portuguese gamers by assessing the prevalence of these health issues and patterns, including Internet Gaming Disorder. Methods: A sample of 235 gamers (83.3% male) recruited online (through mailing list and social media) participated in online questionnaires to assess sociodemographic and health information, gaming and nutritional habits, physical activity patterns, sleep hygiene, and mental health. Results: The highly engaged gamers showed a mean playing time of 3.5 h/day (SD = 2.1) and 5.5 h/day (SD = 3.0) in other screen-related activities. Most of the players reported not consuming snacks while gaming. Physical activity practice was observed in 63.8% of the players. Most of the participants (66.3%) reported poor sleep quality and a “moderately and definitely evening” chronotype (60.4%). Gamers showed low scores of IGD, with only three reported cases, and half of the gamers reporting good psychological well-being. The mean of BSI scores was 1.6 (SD = 0.6), close to the cut-off point of 1.7. Conclusions: Poor sleep quality was observed in Portuguese gamers. Despite this, gamers seem to display a healthy lifestyle consisting of regular physical activity, a healthy diet during gaming time, and an unproblematic gaming behavior, as well as an emotionally healthy profile and state of well-being. Future studies should conduct a more thorough analysis of these variables and further explore possible correlations.