The relationship between the quality of movement, considering different global and universal basic patterns of movement and cognition domains in older adults remain unclear. The current study explored this association in physically inactive older women. In total, 187 participants, aged 60–70 years (mean = 64.9, SD = 6.9 years), were recruited from a physical education program in a public university. The older adults performed the following tests: Functional Movement Screen, Montreal Cognitive Assessment, and Modified Baecke Questionnaire for the Older Adults. The regression analysis showed an association between age (β = −0.11, 95% confidence interval, CI, [−0.10, 0.30], p = .03); visuospatial abilities (β = 0.36, 95% CI [0.24, 1.23], p < .001); language (β = 0.23, 95% CI [0.20, 1.08], p < .001); and orientation domains (β = 0.13, 95% CI [0.11, 1.22], p = .016) of the Montreal Cognitive Assessment and the Functional Movement Screen. The quality of movement was related to both age and cognitive performance, such as the visuospatial abilities, language, and orientation domains, in physically inactive older women.
Andressa Crystine da Silva Sobrinho, Mariana Luciano de Almeida, Vagner Ramon Rodrigues Silva, Guilherme da Silva Rodrigues, Karine Pereira Rodrigues, Camila de Paula Monteiro, and Carlos Roberto Bueno Júnior
Sofia Wolker Manta, Kelly Samara da Silva, Giovani Firpo Del Duca, Luís Eduardo A. Malheiros, Margarethe Thaisi Garro Knebel, Andressa Ferreira da Silva, and Thiago Sousa Matias
Background: Income is an important determinant of physical activity (PA) when analyzed in its different domains. Sociodemographic characteristics such as sex, age, education, and marital status reveal distinct population profiles when PA domains are analyzed in isolation. This study aimed to describe clusters of PA in domains within income inequalities and to investigate the associated sociodemographic characteristics of Brazilian adults. Methods: A secondary analysis of the National Health Survey was performed (N = 50,176). PA, sociodemographic characteristics, and family income were investigated. Low- (n = 9504) and high-income adults (n = 6330) were analyzed. Two-step cluster and Rao–Scott chi-square tests were employed. Results: High-income adults accumulated 1.06 times more PA in leisure time compared with low-income adults. Of the 3 clusters observed, the inactive cluster was more prevalent (low-income group: 65.9%; 95% confidence interval [CI], 64.1–67.5; high-income group: 84.5%; 95% CI, 82.9–86.0). Work/leisure activities (21.2%; 95% CI, 19.8–22.8) and commuting/household activities (12.9%; 95% CI, 11.8–14.1) characterized low-income adults. Work/household activities (10.9%; 95% CI, 9.6–12.3) and commuting/leisure activities (4.6%, 95% CI, 3.9–5.4) characterized high-income adults. Sex (P < .001), age (P < .001), and marital status (P = .0023) were associated with low-income clusters. Conclusion: PA clustering differs within income inequalities. PA in leisure differentiates the opportunities in low- and high-income groups, but it is representative of a very small portion of the wealth.
Mário A.M. Simim, Marco Túlio de Mello, Bruno V.C. Silva, Dayane F. Rodrigues, João Paulo P. Rosa, Bruno Pena Couto, and Andressa da Silva
The aim of this review was to identify the main variables for load monitoring in training and competition situations in wheelchair sports. Studies were identified from a systematic search of three databases (PubMed, Web of Science, and SportDiscuss), with search phrases constructed from MeSH terms, alone or in combination, limited to English-language literature, and published up to January 2016. Our main findings were that variables related to external load (distance, speed, and duration) are used to monitor load in competition. In training situations, researchers have used variables related to internal load (heart rate and VO2); in both training and competition situations, researchers used internal load measurements (training impulse and ratings of perceived exertion). We conclude that the main variables for load monitoring in competitive situations were distance, speed, and duration, whereas the variables for training situations were heart rate, VO2, training impulse, and ratings of perceived exertion.
Isadora Grade, Henrique Andrade, Renato Guerreiro, Eduardo Stieler, Flavia R. da Silva, Hesojy G.V. da Silva, Roberto Vital, Renan A. Resende, Dawit A.P. Gonçalves, André G. Andrade, Marco T. de Mello, and Andressa Silva
Context: Sleep serves many important functions for athletes, particularly in the processes of learning, memory, recovery, and cognition. Objectives: Define the sleep parameters of Paralympic athletes and identify the instruments used to assess and monitor sleep Paralympic athletes. Evidence Acquisition: This systematic review was carried out based on the PRISMA guidelines. The survey was conducted in April 2020, the searches were carried out again in September 2021 to check whether there were new scientific publications in the area of sleep and Paralympic sport, searches were performed in the following databases: PubMed, Web of Science, Scopus, SPORTDiscus, Virtual Health Library (BIREME), and SciELO. This systematic review has included studies that investigated at least one of the following sleep parameters: total sleep time, sleep latency, sleep efficiency, number of awakenings, quality of sleep, daytime sleepiness, and chronotype; the participants were comprised of athletes with disabilities. Studies published at any time in English, Portuguese, and Spanish, were included. Evidence Synthesis: Data extraction and study selection were performed by 2 researchers independently, and a third author was consulted as necessary. The search returned a total of 407 studies. Following the screening based on exclusion and inclusion criteria, a total of 13 studies were considered. Paralympic athletes have a low amount (7.06 h) of sleep with poor quality and sleep latency (28.05 min), and 57.2% have daytime sleepiness, with the majority belonging to the indifferent chronotype (53, 5%). Moreover, 11 studies assess sleep using subjective instruments (questionnaires), and 2 studies used an objective instrument (actigraphy). Conclusions: Sleep disorders are common among Paralympic athletes, poor sleep quality and quantity, and high rates of daytime sleepiness. Subjective methods are most commonly used to assess sleep.
Gerson Daniel de Oliveira Calado, Andressa de Oliveira Araújo, Gledson Tavares Amorim Oliveira, Jeffer Eidi Sasaki, Amanda L. Rebar, Daniel Gomes da Silva Machado, and Hassan Mohamed Elsangedy
The purpose of this study was to investigate the relationships of implicit associations and explicit evaluations with affective responses during an aerobic exercise session, physical activity, and sedentary behavior in adults. Fifty adults (70% women; median age = 31 years; 25th, 75th percentiles: 24.50, 40.50 years old; body mass index = 25.29 ± 4.97 kg/m2) not engaged in regular physical activity completed an implicit association test and a questionnaire of explicit evaluations and wore an accelerometer for 7 days. After the 7-day period, the participants performed 30 min of moderate-intensity aerobic exercise. Every 5 min, the affective response and the perception of effort were recorded. Participants who had more positive implicit associations toward physical activity (vs. sedentary behavior) reported higher affective responses during exercise and engaged in more moderate to vigorous physical activity. Encouraging pleasant physical activity may act to partially improve future physical activity through automatic motivational processes.
Diego de Alcantara Borba, Eduardo da Silva Alves, João Paulo Pereira Rosa, Lucas Alves Facundo, Carlos Magno Amaral Costa, Aldo Coelho Silva, Fernanda Veruska Narciso, Andressa Silva, and Marco Túlio de Mello
Background: Physical exercise plays an important role in metabolic health, especially in the insulin-like growth factor-1 (IGF-1) system. The objective of this study was to perform a systematic review and meta-analysis to evaluate the effects of a single endurance and resistance exercise session on IGF-1 serum. Methods: The systematic review was performed in SPORTDiscus, MEDLINE, PubMed, and Google Scholar databases. All analyses are based on random-effect models. The study identified 249 records of which 21 were included. Results: There was an effect of endurance exercise on total IGF-1 (P = .01), but not for free IGF-1 (P = .36). Resistance exercise similarly only affected total IGF-1 (P = .003) and not free IGF-1 (P = .37). The effect size indicated that total IGF-1 is more affected (ES = 0.81) by endurance than by resistance exercise (ES = 0.46). The present study showed that IGF-1 serum concentrations are altered by exercise type, but in conditions which are not well-defined. Conclusions: The systematic review and meta-analysis suggest that there is no determinant in serum IGF-1 changes for the exercise load characteristic. Therefore, physical exercise may be an alternative treatment to control changes in IGF-1 metabolism and blood concentration.
Eduardo Stieler, Varley Teoldo da Costa, Aline Ângela Silva Cruz, João Paulo Pereira Rosa, Ingrid LudImilla Bastos Lôbo, Julia Romão, Andrea Maculano Esteves, Marco Tulio de Mello, and Andressa Silva
Context: Hormonal assessment in the sport context is important to monitor the physiological adaptations of athletes. However, Paralympic athletes, especially with cervical spinal cord injury (CSCI), may have different hormonal responses than nondisabled athletes. Therefore, the aim of this study was to evaluate the blood concentrations of total testosterone (TT) and cortisol (C) during acute (one training session) and chronic (1 and 2 month) training of athletes with CSCI in wheelchair rugby (WCR). Design: Longitudinal and observational study. Methods: Eight high-performance athletes with CSCI (31 [3.9] y; 75.6 [15.8] kg; 22.9 [4.2] kg/m2 body mass index; 6.2  y of experience in sport) were evaluated at 3 different intervals (evaluations 1, 2, and 3 [E1, E2, and E3]) over 2 months of training. TT and C blood were evaluated before (pre) and after (post) the training sessions at each training moment, as well as the training load through the ratings of perceived exertion. Results: Athletes with CSCI had low TT concentrations. In acute training sessions, at E3, C decreases after the training session, unlike the TT/C ratio, which increased after the session. Regarding hormonal changes during chronic training at the end of the training period, unlike C, which increased. The training load (arbitrary units) decreased in E3 when compared with the other evaluation moments. Conclusion: It was concluded that in chronic training, TT concentrations decreased, while C increased at the end of the 2 months of training. These results may indicate that training volume was high throughout training and that a reduction in training volume could benefit athletes. On the other hand, in the acute training session with reduced training load, a decrease in C was observed after the training session. This indicates that athletes may be well recovered in this training session. Therefore, we suggest acute and long-term hormonal assessment for athletes with CSCI as a strategy to monitor anabolic/catabolic hormonal status during WCR training.
Radamés M.V. Medeiros, Eduardo S. Alves, Valdir A. Lemos, Paulo A. Schwingel, Andressa da Silva, Roberto Vital, Alexandre S. Vieira, Murilo M. Barreto, Edilson A. Rocha, Sergio Tufik, and Marco T. de Mello
Body-composition assessments of high-performance athletes are very important for identifying physical performance potential. Although the relationship between the kinanthropometric characteristics and performance abilities of Olympic swimmers is extremely important, this subject is not completely understood for Paralympic swimmers.
To investigate the relationship between body composition and sport performance in Brazilian Paralympic swimmers 6 mo after training.
Experimental pre/posttest design.
Research laboratory and field evaluations of swimming were conducted to verify the 50-m freestyle time of each athlete.
17 Brazilian Paralympic swim team athletes (12 men, 5 women).
Main Outcome Measures:
Body-composition assessments were performed using a BOD POD, and swimming performance was assessed using the 50-m freestyle, which was performed twice: before and after 6 mo of training.
Increased lean mass and significantly reduced relative fat mass and swimming time (P < .05) were observed 6 mo after training. Furthermore, a positive correlation between body-fat percentage and performance (r = .66, P < .05) was observed, but there was no significant correlation between body density and performance (r = –.14, P > .05).
After a 6-mo training period, Paralympic swimmers presented reduced fat mass and increased lean body mass associated with performance, as measured by 50-m freestyle time. These data suggest that reduced fat-mass percentage was significantly correlated with improved swimming performance in Paralympic athletes.
Marcelo Danillo Matos dos Santos, Felipe J. Aidar, Raphael Fabrício de Souza, Jymmys Lopes dos Santos, Andressa da Silva de Mello, Henrique P. Neiva, Daniel A. Marinho, and Mário C. Marques
Purpose: To verify the effects of using different grip widths in bench press performance in Paralympic powerlifting athletes. Methods: Twelve experienced Paralympic powerlifting male athletes (25.40 [3.30] y, 70.30 [12.15] kg) participated in the study. Maximal dynamic strength and maximal isometric strength (MIS) were determined. Then, mean propulsive velocity (MPV) using 25%, 50%, and 100% of maximal dynamic strength load and time to achieve 30%, 50%, and 100% of MIS were assessed with 4 different grip widths, specifically the biacromial distance (BAD: 42.83 [12.84] cm), 1.3 BAD (55.68 [16.70] cm), 1.5 BAD (63.20 [18.96] cm), and 81 cm. Electromyographic analysis was performed during MIS assessment in the pectoralis major sternal portion, anterior deltoid, triceps brachii long head, and pectoralis major clavicular portion. Results: Large differences were found between MPV performed with different grip widths using 25% of maximal dynamic strength load (P = .02,