Browsing by Author "Amorim, Paulo Roberto dos Santos"
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- Equations based on anthropometric measurements for adipose tissue, body fat, or body density prediction in children and adolescents: a scoping reviewPublication . Cerqueira, Matheus S.; Amorim, Paulo Roberto dos Santos ; Encarnação, Irismar Gonçalves; Rezende, Leonardo M.T.; Almeida, Paulo H.R.F.; Silva, Analiza M.; Sillero-Quintana, Manuel; Silva, Diego A.S.; Santos, Fernanda K.; Marins, João C.B.Assessing the body composition of children and adolescents is important to monitor their health status. Anthropometric measurements are feasible and less-expensive than other techniques for body composition assessment. This study aimed to systematically map anthropometric equations to predict adipose tissue, body fat, or density in children and adolescents, and to analyze methodological aspects of the development of anthropometric equations using skinfolds. Methods: A scoping review was carried out following the PRISMA-ScR criteria. The search was carried out in eight databases. The methodological structure protocol of this scoping review was retrospectively registered in the Open Science Framework (https://osf.io/35uhc/). Results: We included 78 reports and 593 anthropometric equations. The samples consisted of healthy individuals, people with different diseases or disabilities, and athletes from different sports. Dual-energy X-ray absorptiometry (DXA) was the reference method most commonly used in developing equations. Triceps and subscapular skinfolds were the anthropometric measurements most frequently used as predictors in the equations. Age, stage of sexual maturation, and peak height velocity were used as complementary variables in the equations. Conclusion: Our scoping review identified equations proposed for children and adolescents with a great diversity of characteristics. In many of the reports, important methodological aspects were not addressed, a factor that may be associated with equation bias. Level IV: Evidence obtained from multiple time series analysis such as case studies. (NB: dramatic results in uncontrolled trials might also be regarded as this type of evidence).
- Influence of Sleep Quality on Recovery and Performance in Endurance and Ultra-Endurance Runners: Sex Differences Identified Through Hierarchical ClusteringPublication . Matos, Julia Pagotto; Guilherme, Larissa Quintão; Encarnação, Samuel; Leite, Luciano Bernardes; Forte, Pedro; Kravchychyn, Ana Claudia Pelissari; Amorim, Paulo Roberto dos Santos; Souza, Helton de SáAssessing sleep quality is essential in sports science, particularly in ultra-endurance sports, where recovery is critical for performance and health. This study aimed to identify sleep quality patterns among endurance and ultra-endurance athletes using hierarchical clustering analysis, with comparisons by sex and modality. Data were collected during the La Misión Brasil competitions in 2023 and 2024, using the Pittsburgh Sleep Quality Index (PSQI). The questionnaire was emailed to all registered runners two weeks before the event. A total of 490 athletes participated, including 276 men (mean ± SD age: 43 ± 11 years) and 214 women (mean ± SD age: 43 ± 13 years). Statistical analyses included Cohen’s d and r effect sizes, and a 95% confidence interval for hypothesis testing. Residuals between-cluster proportions were assessed within a range of −3.3, ensuring a 99.7% confidence level for significant differences. The results showed that endurance runners had better sleep quality, with most scoring low on the PSQI. In contrast, ultra-endurance athletes displayed greater variability, with a higher prevalence of poor sleep quality, particularly in women. The hierarchical clustering method effectively identified distinct sleep patterns, providing insights into the dynamics of recovery and performance. These findings highlight the impact of increased physical and psychological demands in ultra-endurance sports and emphasize the need for tailored sleep monitoring strategies to optimize the recovery and performance of athletes.