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Percorrer Escola Superior de Educação por Domínios Científicos e Tecnológicos (FOS) "Ciências Médicas::Ciências da Saúde"
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- 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.
- 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 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.
- Can physical exercise modify intestinal integrity and gut microbiota composition? A systematic review of in vivo studiesPublication . Pereira, Stephanie Michelin Santana; São José, Vinicius Parzanini Brilhante de; Silva, Alessandra da; Martins, Karina Vitoria Cipriana; Leite , Luciano Bernardes; Forte, Pedro; Natali, Antônio José; Martino, Hércia Stampini Duarte; Lucia, Ceres Mattos Della; Bressan, JosefinaThere is little evidence about how physical exercise affects the gut microbiota since studies in the field are relatively recent. Thus, we aimed to systematically review the main effects of regular physical exercise on the intestinal integrity and microbiota composition in animal models, discuss the mechanisms involved, and indicate future directions. Searches for original articles were performed in PubMed/MEDLINE, Scopus, Web of Science, and Embase. A total of 18 studies were selected. These studies suggest that physical exercise has a significant impact on the gut microbiota. Voluntary running increased the thickness of duodenal villi and microbiota diversity but reduced its richness. Low-intensity treadmill running increased the abundance of the phylum Actinobacteria and the family Bifidobacteriaceae, while that of moderate-intensity reduced the Bacteroides/Prevotella ratio. High-intensity swimming and treadmill running altered the gut microbiota, evidenced by beta-diversity, and increased the Shannon and Chao indices but reduced short-chain fatty acids. Resistance exercise increased the Chao index and altered the functionality of the gut microbiota, increasing carbohydrate metabolism and reducing lipid and amino acid metabolism. Thus, regular physical exercise of different intensities and types can modify the gut microbiota, and the exercise benefits appear to be positively associated with training intensity.
- 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.
- Classification of dementia risk in the elderly through gait analysis with machine learning algorithmsPublication . Costa, Raí Braz; Almeida, Samuel Gonçalves; Encarnação, Samuel; Schneider, André; Barbosa, Tiago M.; Teixeira, José Eduardo; Forte, Pedro; Monteiro, António M.The irreversible and progressive decline of physiological functions is known as aging. Among these changes is brain aging, which leads to cognitive decline and the onset of dementia. This directly affects memory, learning, and motor skills, reducing gait efficiency. This study aimed to investigate the feasibility of identifying and classifying the risk of dementia based on the analysis of kinematic variables related to gait in older adults using machine learning algorithms. This cross-sectional observational study examined a sample of 59 individuals aged 60 +/- 8 years, divided into two groups: 26 institutionalized older adults (GI) and 33 non-institutionalized older adults (GNI), all residing in Bragan & ccedil;a, Portugal. Gait data were collected during a 10-m walk, recorded on video, and analyzed using Kinovea software. Cognitive status was assessed using the Mini-Mental State Examination (MMSE). Python (TM) was used for statistical analysis and to develop machine learning models to classify dementia risk based on gait variables. The results showed that the algorithmic models achieved an overall accuracy of 74.6%, with the AdaBoost algorithm performing best at 83.5%. Cross-validation revealed an overall accuracy of 72%, with the Support Vector Machine (SVM) classifier achieving the highest individual performance at 80%, correctly classifying 80% of cases across different data subsets. In conclusion, gait analysis combined with machine learning algorithms demonstrated a strong relationship between gait variables and dementia, proving to be a safe and efficient technique for dementia classification. This approach offers a low-cost and accessible early identification and intervention method, with potential applications in clinical and public health settings.
- Combined nandrolone and resistance training induced cardiac remodelling and oxidative stress despite enhanced cardiomyocyte contractilityPublication . Moraes, Alexa Alves de; Suarez, Pedro Zavagli; Quintão, Arthur Eduardo de Carvalho; Fontes, Beatriz Lana; Costa, Sebastião Felipe Ferreira; Rocha, Carolina Camargos; Soares, Leôncio Lopes; Leite, Luciano Bernardes; Oliveira, Leandro Licursi; Reis, Emily Correna Carlo; Oliveira, Edilamar Menezes de; Forte, Pedro; Natali, Antônio José; Carneiro-Júnior, Miguel AraújoNandrolone decanoate (ND) is widely used by individuals engaged in resistance training (RT), yet their combined effects on cardiac function remain unclear. Objective To investigate the effects of RT and ND on cardiac structure and function, cellular contractility, Ca-2 (+) -handling protein expression, and redox balance in rats. Methods Thirty-two male Wistar rats were assigned to four groups: control (C), trained (C-T), ND (N), and trained ND (N-T). Animals received ND or saline for eight weeks, and RT was performed 3 x /week. Cardiac function was assessed by echocardiography, and isolated cardiomyocytes from the left and right ventricles (LV and RV) were evaluated for contractile function. Protein expression of Ca-2 (+) -handling regulators and oxidative stress markers was quantified. Results N-T increased LV and RV diameters by 25% and 33%, septal thickness by 41.7%, and reduced ejection fraction by 12.3% compared to N (p < 0.05). LV cardiomyocytes increased width by 29% and volume by 23% in N-T versus C-T (p <= 0.04). In LV, N-T showed greater contraction amplitude and velocity at 5 Hz (p = 0.04) and increased relaxation velocity at 1, 3, and 5 Hz (p < 0.01), with shorter time to peak contraction and 50% relaxation at 1 Hz versus N (p = 0.04). In RV, N-T increased contraction amplitude and velocity at 1 and 5 Hz, reduced time to peak at 1 and 3 Hz, shortened relaxation time at 1 Hz, and showed higher relaxation velocity than N and C-T (p < 0.02). Molecular analyses revealed reduced RyR2 expression (25% in LV and 9% in RV) and a 41% decrease in LV phospholamban in N-T versus C-T (p < 0.05). N-T also exhibited higher LV malondialdehyde compared to C-T (p = 0.03). Conclusion ND combined with RT induced adverse cardiac remodeling and impaired ventricular function, despite enhanced cardiomyocyte contractility, and intensified molecular and oxidative disturbances, indicating a maladaptive cardiac response. This is the first study to demonstrate regional differences in contractility and redox balance of isolated ventricular cardiomyocytes under ND plus RT.
- Comparative analysis of physical fitness and body composition in first-year bachelor sports sciences students from France and PortugalPublication . Morais, J.E.; Larrière, Onésie; Bragada, José A.; Bartolomeu, Raúl Filipe; Magalhães, Pedro; Schnegg, Antoine; Houndekon, Martial; Garnier, Yoann M.; Mourot, LaurentPhysical fitness and body composition are foundational to the training and academic success of sports sciences students. However, baseline physical profiles may vary across institutions and countries, reflecting differences in cultural, educational, and physical activity environments. This study aimed to compare physical fitness levels and anthropometric characteristics of first-year sports sciences students from three European institutions in France and Portugal. A cross-sectional study was conducted with 172 first-year university students (121 males, 51 females) enrolled in sports sciences programs at one French (UMLP) and two Portuguese institutions (IPB and IPG). Participants completed a standardized physical fitness test battery assessing aerobic capacity (estimated VO(2)max), upper- and lower-body strength (handgrip, isometric mid-thigh pull), explosive power (standing long jump), flexibility (sit-and-reach), and balance (standing stork test). Anthropometric measures included body mass, fat mass, and lean mass. Group and gender differences were analyzed using ANOVA and effect sizes. Students from UMLP displayed significantly higher performance in estimated VO(2)max (IPB vs UMLP d = 1.08; IPG vs UMLP d = 0.81), strength (isometric mid-thigh pull [IPB vs UMLP d = 0.65; IPG vs UMLP d = 0.73]), flexibility (IPB vs UMLP d = 0.61; IPG vs UMLP d = 0.69), balance (IPG vs UMLP d = 0.91), and body composition (higher lean mass [IPB vs UMLP d = 0.19; IPG vs UMLP d = 0.28], lower fat mass [IPB vs UMLP d = 0.22; IPG vs UMLP d = 0.31]) compared to their Portuguese peers. IPG students outperformed the other groups in the standing long jump test (IPB vs IPG d = 0.51; IPG vs UMLP d = 1.38). Males consistently outperformed females across all fitness domains except flexibility. Significant group-by-gender interactions were observed for flexibility and strength measures. This study highlights substantial differences in physical fitness and body composition among first-year sports sciences students across institutions in France and Portugal. These findings underline the importance of assessing students' physical readiness at university entry and suggest that institutional and cultural factors may influence physical health trajectories. Targeted interventions may be warranted to ensure baseline fitness equity and promote academic and athletic success.