ESE - Artigos em Revistas Indexados à WoS/Scopus
URI permanente para esta coleção:
Navegar
Percorrer ESE - Artigos em Revistas Indexados à WoS/Scopus por Domínios Científicos e Tecnológicos (FOS) "Ciências Médicas::Ciências da Saúde"
A mostrar 1 - 10 de 60
Resultados por página
Opções de ordenação
- 24-Hour Ultra-Marathon Running: A Narrative Review of Performance Factors and Physiological ImpactsPublication . Knechtle, Beat; Braschler, Lorin; Weiss, Katja; Scheer, Volker; Duric, Sasa; Leite , Luciano Bernardes; Forte, Pedro; Nikolaidis, Pantelis Theo; Chlíbková, Daniela; Rosemann, ThomasThe 24-hour ultra-marathon is a specific race format with a long tradition and high popularity. To date, no comprehensive review has systematically summarized the scientific literature on 24-hour ultra-marathon running. We performed a comprehensive search in the PubMed and Scopus databases, covering studies published until the end of 2025. The participation of runners and finishers in 24-hours has increased in the past decades. Most participants in 24-hours are age group or master runners older than 35 years. 24-hour ultra-runners typically cover distances exceeding 100 km per event, with an average distance ranging from similar to 150-160 km, while the top performers can achieve over 200 km. Men achieve greater distances than women. The best performance is achieved at 40-50 years. The most important predictive variables in 24-hours are training, nutrition, previous experience, and pacing; anthropometric characteristics seemed of no predictive value. During 24-hours, athletes ingest mainly carbohydrates and experience an energy deficit, but rarely exercise-associated hyponatremia. A 24-hour run leads to decrease in body mass, which can be due to dehydration, a loss of skeletal muscle mass, and/or a loss of fat mass. A 24-hour run has effects on the cardiovascular system (i.e., decrease in blood pressure, changes in cardiac biomarkers, and changes in electrocardiogram and echocardiographic findings), the kidneys (i.e. reversible impairment of kidney function), the digestive system (i.e., gastrointestinal discomfort, reversible increase in liver enzymes), the immune system (i.e., increase in immune markers) and the hematological system (i.e., decrease in red blood cells, increase in white blood cells). All negative effects are resolved within 2-3 days. In summary, 24-hour ultra-marathon runners are master athletes with extensive experience, optimal training preparation, and optimal nutrition to complete a 24-hour run successfully. The adverse effects on the heart, kidneys, immune system, and digestive tract generally resolve within a few days after the event. Future studies need to investigate nutrition after the race to enhance recovery and the impact of training and competing in this specific race format on the locomotor system (i.e. skeleton, muscles, tendons, joints).
- Agreement Between a Wristwatch and a Free Optical Sensor with a Chest Strap in Measuring HR Variations During Front Crawl SwimmingPublication . Bartolomeu, Raúl Filipe; Silva, Vasco; Pereira, Ana; Morais, Gonçalo; Sokołowski, Kamil; Strzała, Marek; Morais, J.E.; Teixeira, José EduardoWearables with optical sensors for heart rate (HR) measurement are widely available in the market. However, their accuracy in water is still underexplored. The aim of the present study was to test the agreement of two different devices for HR monitoring with a chest strap while swimming at different intensities. Twenty male and ten female subjects (mean 19.6 ± 0.7 years old, 173.3 ± 5.4 cm, and 67.1 ± 6.6 kg) performed an intermittent progressive protocol of 3 × 30 s tethered front crawl swimming followed by a 1 min rest period. A chest strap, a wristwatch, and a multi-site optical sensor placed at the temple were used simultaneously. A strong association, an excellent intra-class correlation, and a low mean bias were denoted (R2 = 0.85, ICC = 0.94, b = −1) between HRchest vs. HRtemple. Both indicators increased throughout the test, denoting an increase in accuracy from light to vigorous exercise intensity. HRchest and HRwatch showed a moderate association for the whole test (R2 = 0.23) but a weak association, a poor consistency, and a high mean bias stepwise (0.01 ≤ R2 ≤ 0.06, 0.03 ≤ ICC ≤ 0.42, −48.1 ≤ b≤ −16.1). During swimming, the HR values from the temple showed a better agreement with the chest strap than those from the wristwatch. The temple reading accuracy might be enhanced by using the device during the dryland warm-up routine.
- Analysis of thermal patterns in the knee: comparative study between athletes and sedentary individualsPublication . Araújo, Mirela dos Santos; Bernardes Leite, Luciano; Forte, Pedro; Malheiro, Alexandra; Januário, William Martins; Pussieldi, Guilherme de Azambuja; Coelho, Bruno de Cássio; Barreiros, Marta de Oliveira; Barros Filho, Allan Kardec Duailibe; Assis, Miller Gomes de; Navarro, Antônio Coppi; Rodrigues Junior, Jefferson Fernando Coelho; Oliveira, Mario Norberto Sevilio de; Cabido, Christian Emmanuel Torres; Pimenta, Eduardo Mendonça; Veneroso, Christiano EduardoInfrared thermography is a non-invasive technique that detects skin-emitted radiation, providing insights into body temperature and identifying thermal changes related to inflammatory or degenerative processes. This study aimed to compare knee temperatures between sedentary individuals and athletes and to evaluate differences between the anterior and posterior knee regions. A convenience sample included 32 men, 16 sedentary individuals (1.71 ± 0.05 m; 71.7 ± 11 kg; BMI: 24.5 ± 0.39 kg/m²) and 16 athletes (1.79 ± 0.06 m; 73.29 ± 11 kg; BMI: 22.84 ± 2.52 kg/m²). Temperature assessments were conducted using infrared thermography. The results showed that the posterior knee region consistently exhibited higher temperatures than the anterior region in sedentary individuals (p < .001) and athletes (p < .001). Sedentary individuals had lower knee temperatures compared to athletes, both in the posterior regions (right: p = .0006; left: p = .0035) and anterior (right: p < .0001; left: p = .0009). These findings highlight that physical training influences localised thermal responses, with athletes demonstrating higher average knee temperatures and a consistent temperature gradient between the posterior and anterior regions in both groups.
- Analyzing Breathing Patterns in the Breaststroke Technique Through Dual-Media Kinematics and Fractal DimensionPublication . Alves, Miriam; Fonseca, Pedro; Fernandes, Aléxia; Brito, André V.; Barbosa, Tiago M.; Vilas-Boas, João PauloThe most hydrodynamic swimming position occurs with the head submerged, highlighting the benefit of reduced breathing frequency for efficiency. This study aimed to characterize and compare kinematics between two breaststroke breathing patterns—breathing every cycle and breathing every two cycles—while also analyzing intra-cyclic velocity variation (dv) and fractal dimension. In the breathing every cycle pattern, each cycle included a breath. In the breathing every cycle pattern, swimmers breathed once per cycle. In the breathing every two cycles pattern, breathing occurred every second cycle, resulting in three types of cycles: breathing, non-breathing, and the breathing cycle following a non-breathing cycle. To ensure familiarity with the new breathing pattern, swimmers underwent a six-week intervention program. They then performed three maximal 25 m bouts in each breathing pattern. Kinematic data were collected using a dual-media optoelectronic system (Qualisys AB, Sweden), integrating underwater and dry-land camera recordings. The results showed minimal differences between the three cycle types. The non-breathing cycle had the shallowest and deepest head positions, the lowest horizontal head amplitude out of water, and the smallest vertical head amplitude. It also had the fastest maximum vertical velocity of the feet and maximum center of mass velocity in the swimming direction.
- Antioxidant and Anti-Inflammatory Activities of Probiotic StrainsPublication . Caliman-Sturdza, Olga Adriana; Vaz, Josiana A.; Lupaescu, Ancuta Veronica; Lobiuc, Andrei; Bran, Codruta; Gheorghita, Roxana ElenaThis review highlights the anti-inflammatory and antioxidant effects of probiotics and their complex health-related impacts. The main health areas targeted are gastrointestinal inflammation, neuroinflammation, systemic metabolic disorders, and liver conditions. Probiotics work mechanistically to regulate key inflammatory pathways by suppressing nuclear factor (NF-κb) and mitogen-activated protein kinase (MAPK) pathways and activating antioxidant defenses through nuclear erythroid 2-related factor (Nrf2). They stimulate anti-inflammatory cytokines (including interleukin 10 (IL-10) and inhibit pro-inflammatory mediators such as tumor necrosis factor-α (TNF-α), partly through the regulation of T cells. Probiotics also produce antioxidant metabolites (e.g., exopolysaccharides and short-chain fatty acids), which enhance the host’s resistance to oxidative stress. Supplementation with probiotics improves intestinal inflammation and oxidative injury in gut disorders. Clinical trials suggest that probiotic supplements may reduce neuroinflammation and oxidative stress, while improving cognitive or behavioral outcomes in neurodegenerative disorders. Overall, this review underscores that probiotics have potent anti-inflammatory and antioxidant effects within the gut–brain axis and across various organ systems, supporting their use as valuable adjunctive therapies for inflammatory and oxidative stress-related conditions. It further emphasizes that additional mechanistic research and controlled clinical trials are essential to translate these findings into the most effective therapeutic strategies.
- Associations Between Hydration, Sodium Intake, and Body Mass in Ultra-Endurance Trail Runners Under Ecological Race Conditions: A Cross-Sectional Field StudyPublication . Amorim, Rafael Mendes; Guilherme, Larissa Quintão; Filgueiras, Mariana de Santis; Saborosa, Guilherme Pereira; Pires, Gabrielle Ferreira; Neumann, Nathan de Oliveira; Scheer, Volker; Leite, Luciano Bernardes; Forte, Pedro; Malheiro, Alexandra; Quaresma, Marcus Vinicius Lucio dos Santos; Souza, Helton de Sá; Kravchychyn, Ana Claudia PelissariHydration and electrolyte strategies are critical in mountain ultra-endurance events, yet field-based evidence from trail races remains limited. This study examined the relationship between fluid intake, sodium consumption, and body mass changes in trail runners competing under real environmental conditions. Methods: A cross-sectional field study was conducted during La Misi & oacute;n Brasil 2024. Athletes of both sexes competing in the endurance race (35 km; EG: n = 15; age = 37.0 [29.5-46.0] years; 12 men and 3 women) and the ultra-endurance race (80 km; UEG: n = 13; age = 42.0 [37.0-46.0] years; 11 men and 2 women) were included in the study. Pre- and post-race body mass were assessed, and in-race fluid and food intake were collected using an adapted 24-h dietary recall. Water and sodium intake were expressed as total (L and mg, respectively) and per-hour (mL/h and mg/h, respectively) values. Environmental temperature and humidity were obtained from a local weather station. Group comparisons were performed using the Mann-Whitney U test, and associations were examined with Spearman's correlation (p < 0.05). Results: EG (n = 15) and UEG (n = 13) showed similar absolute and relative body mass changes (2.6% to -3.0%; p > 0.05). EG runners presented greater weight loss rate (-270 vs. -115 g/h; p = 0.002), while UEG consumed higher total water (7.11 vs. 4.14 L; p = 0.008) and sodium (5789 vs. 2857 mg; p = 0.003). Water intake per hour was higher in EG (626 vs. 427 mL/h; p = 0.017). Body Mass Index was negatively correlated with hourly weight loss (r = -0.605; p < 0.001). Water and sodium intake per hour were positively correlated (r = 0.607; p < 0.001), though neither predicted hourly weight loss. Conclusions: Hydration responses may differ according to environmental stress and pacing demands. Changes in body mass may not necessarily reflect hydration adequacy, suggesting a possible multifactorial nature of hydroelectrolyte balance during mountain endurance events.
- Associations Between Pain Intensity and Inflammatory Profile in Women with Android and Gynoid Obesity Diagnosed with Chronic Pain: An Observational StudyPublication . Cota, Cecília Cristina; Miranda-Castro, Stefani; Souza-Gomes, Antônio Felipe; Leite, Luciano Bernardes; Forte, Pedro; Monteiro, António M.; Pereira, William Valadares Campos; Moura, Samara Silva; Nunes-Silva, AlbenáThere are different types of obesity, and the metabolic conditions associated with these phenotypes are also heterogeneous. Overweight and obesity are not only associated with pain but are also identified as risk factors for the development of pain. Objective: This study aimed to compare the levels of inflammatory biomarkers, counting of immune cells, and chronic pain between android and gynoid female patients with obesity. Method: Thirty (n = 30) women took part in this study (18 androids, age: 50.61 +/- 9.41 and 12 gynoids, age: 50.67 +/- 9.45). The participants underwent anamnesis, Visual Numeric Scale (VNS), dual-energy X-ray absorptiometry, and blood sampling for the analysis of leukocytes, C-reactive protein (CRP), and interleukin (IL)-6. Results: The number of total leukocytes in the blood was not different when comparing the android group (6045 mu L) with the gynoid group (5230 mu L). No differences were observed for neutrophils (3440 mu L in android and 3017 mu L in gynoid), lymphocytes (2208 mu L in android and 2115 mu L in gynoid), for monocytes (429.7 mu L in android and 392.8 mu L in gynoid), and basophils (17.27 mu L in android and 15.41 mu L in gynoid). However, there was a significant difference between the number of eosinophils when comparing the android group (137.6 mu L) with the gynoid group (204.9 mu L), p = 0.04. Although both groups presented CRP values above 0.3 mg/dL-indicative of low-grade inflammation-no statistically significant difference was observed. Similarly, no difference was found in pain intensity between groups, as measured by the Visual Numeric Scale (VNS). Conclusions: Although most inflammatory and pain markers did not differ between groups, the higher eosinophil count in the gynoid phenotype suggests immunological distinctions between obesity types. These findings underline the importance of considering body fat distribution in clinical assessments of inflammation and chronic pain in women with obesity.
- Associations Between Quality of Life, Functional Fitness, Body Composition, and Accelerometer-Measured Physical Activity in Postmenopausal Women: A Cross-Sectional StudyPublication . Schneider, André; Mendonça, Flavio Teresinho; Amaral, Letícia; Barbosa, Tiago M.; Forte, Pedro; Teixeira, José Eduardo; Monteiro, António M.Postmenopausal aging is accompanied by declines in functional fitness, changes in body composition, and increased osteoporosis risk, which may affect quality of life. Understanding how these factors interrelate is important for supporting healthy aging. To examine the associations between accelerometer-measured physical activity, functional fitness, DEXA-derived body composition and bone parameters, and quality of life in postmenopausal women. Methods: Forty community-dwelling postmenopausal women (68.7 ± 5.7 years) participated in this cross-sectional study. Physical activity was assessed using a wrist-worn accelerometer for seven days. Body composition and bone health were measured by DEXA, functional fitness by the Senior Fitness Test, and quality of life by the WHOQOL-BREF. Spearman correlations were applied. Associations were predominantly weak to moderate. Higher-intensity physical activity showed the strongest association with the Physical Health domain of quality of life (ρ ≈ 0.29). Total bone mineral density was also positively associated with perceived physical health (ρ ≈ 0.36). Adiposity was inversely related to light and lifestyle activity. Physical activity, functional fitness, body composition, and perceived physical health co-occur in postmenopausal women, supporting the relevance of promoting active lifestyles in this population.
- Athletes’ origin trends in participation and performance of master runners in the New York City marathon (1999–2024): a sex- and age-group analysisPublication . Duric, Sasa; Villiger, Elias; Andrade, Marilia Santos; Leite, Luciano Bernardes; Forte, Pedro; Chlíbková, Daniela; Nikolaidis, Pantelis Theo; Weiss, Katja; Rosemann, Thomas; Knechtle, BeatIt is well known that the fastest elite marathon runners come from East African countries such as Ethiopia and Kenya. However, to date, there is no information available on the origin of the fastest age group (master) marathoners. This study aimed to determine the countries of origin of the fastest age group marathoners who have participated in the 'New York City Marathon' over the past several decades. Race data from 1,009,839 runners (626,183 male and 383,656 female finishers) who completed the 'New York City Marathon' between 1999 and 2024 were analyzed. Participants were categorized into five-year age groups: <20, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69, 70-74, and 75 + years. The data were stratified by sex (male and female) and country of origin. The dataset was organized into five performance-based subgroups: (i) the entire dataset, including all finishers by age group and nationality; (ii) the top 100 finishers per age group; (iii) the top 30 finishers per age group; (iv) the top 10 finishers per age group; and (v) the top individual from each country within each age group. Regression analyses were conducted to explore demographic predictors of marathon performance. Participation generally increased over the study period, with temporary declines during the COVID-19 pandemic; male participation consistently outnumbered female participation, the 40-44 years age group was the most represented for both sexes, and participation was lowest in the youngest (< 20 years) and oldest (75 + years) age groups. Crucially, analyses focusing on the fastest age-group marathoners revealed clear nationality-based performance patterns. In younger adult age groups (20-39 years), the fastest average race times were predominantly achieved by female and male runners from Kenya and Ethiopia. The < 20 years age category showed comparatively stronger performances from European runners, including those from Poland, Switzerland and Italy. In the 50 years and older age groups, the best average times were increasingly recorded by runners from the United States of America, Japan, Germany and Switzerland. This shift highlights a regional transition in peak marathon performance with increasing age, from East African to European, North American, and East Asian dominance.
- Case Report: Case study of 100 consecutive IRONMAN®-distance triathlons—impact of race splits and sleep on the performance of an elite athletePublication . Knechtle, Beat; Leite , Luciano Bernardes; Forte, Pedro; Andrade, Marilia Santos; Cuk, Ivan; Nikolaidis, Pantelis Theo; Scheer, Volker; Weiss, Katja; Rosemann, ThomasLong-distance triathletes such as IRONMAN (R) and ultra-triathletes competing in longer race distances continue to extend ultra-endurance limits. While the performance of 60 IRONMAN (R)-distance triathlons in 60 days was the longest described to date, we analysed in the present case study the impact of split disciplines and recovery in one athlete completing 100 IRONMAN (R)-distance triathlons in 100 days. To date, this is the longest self-paced world record attempt for most daily IRONMAN (R)-distance triathlons.To assess the influence of each activity's duration on the total time, the cross-correlation function was calculated for swimming, cycling, running, and sleeping times. The autocorrelation function, which measures the correlation of a time series with itself at different lags, was also employed using NumPy.The moving average for swimming slightly increased in the middle of the period, stabilizing at similar to 1.43 h. Cycling displayed notable fluctuations between similar to 5.5 and 7h, with a downward trend toward the end. The moving average for running remains high, between 5.8 and 7.2 h, showing consistency over the 100 days. The moving average for total time hovered at similar to 15 h, with peaks at the beginning, and slightly declined in the final days. The cross-correlation between swimming time and total time showed relatively low values. Cycling demonstrated a stronger correlation with total time. Running also exhibited a high correlation with total time. The cross-correlation between sleep time and swimming time presented low values. In cycling, the correlation was stronger. For running, a moderate correlation was observed. The correlation with total time was also high. The autocorrelation for swimming showed high values at short lags with a gradual decrease over time. For cycling, the autocorrelation also began strong, decreasing moderately as lags increased. Running displayed high autocorrelation at short lags, indicating a daily dependency in performance, with a gradual decay over time. The total time autocorrelation was high and remained relatively elevated with increasing lags, showing consistent dependency on cumulative efforts across all activities. In a triathlete completing 100 IRONMAN (R)-distance triathlons in 100 days, cycling and running split times have a higher influence on overall times than swimming. Swimming performance is not influenced by sleep quality, whereas cycling performance is. Swimming times slowed faster over days than cycling and running times. Any athlete intending to break this record should focus on cycling and running training in the pre-event preparation.