Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 4 de 4
Filter
Add more filters










Language
Publication year range
1.
Int. j. morphol ; 40(1): 57-61, feb. 2022. ilus, tab
Article in English | LILACS | ID: biblio-1385583

ABSTRACT

SUMMARY: Previous evidence indicates that body fat can distinguish Brazilian jiu-jitsu (BJJ) athletes according to the competitive level. However, propositions of cut-off points for establishing classifications of body fat percentage for combat sports athletes and, specifically, for BJJ athletes are still incipient in the literature. In this sense, the main aim of the present study was to establish a normative table for the classification of body fat percentage in BJJ athletes. As a secondary aim, athletes were compared according to competitive level. Ninety male BJJ athletes (aged: 29.0 ± 8.2 years; practice time: 6.0 ± 2.1 years; body mass: 82.1 ± 12.7 kg; height: 175.9 ± 6.5 cm; fat mass: 16.0 ± 8.9 kg; bone mineral content: 3.7 ± 0.6 kg; muscle mass: 37.9 ± 5.4 kg; body fat percentage: 17.3 ± 6.8 %; basal metabolic rate: 1811.4 ± 193.4 kcal) from different competitive levels: state (n= 42), national (n= 26) and international (n= 22) took part in this study. All athletes had their body composition measured via tetrapolar bioelectrical impedance. Percentiles p10, p25, p50, p75, and p90 were used to establish the classification. As a result, the following classification was obtained: <7.7 % (very low); ≥7.7-11.5 % (low); 11.6-17.0 % (medium); 17.1-24.0 % (high) and ≥24.1 % (very high). State-level athletes had a higher fat percentage than national and international-level athletes (p<0.05). The proposed cut-off points can help professionals responsible for sports training and nutritional prescription in monitoring the body fat of BJJ athletes.


RESUMEN: La grasa corporal puede distinguir a los atletas de jiu-jitsu brasileño (BJJ) según el nivel competitivo. Sin embargo, las propuestas de puntos de corte para establecer clasificaciones de porcentaje de grasa corporal para deportistas de deportes de combate y, específicamente, para deportistas de BJJ son aún incipientes en la literatura. En este sentido, el objetivo principal del presente estudio fue establecer una tabla normativa para la clasificación del porcentaje de grasa corporal en atletas de BJJ. Secundariamente, comparar a los deportistas según el nivel competitivo. Participaron noventa atletas masculinos de BJJ (edad: 29,0 ± 8,2 años; tiempo de práctica: 6,0 ± 2,1 años; masa corporal: 82,1 ± 12,7 kg; estatura: 175,9 ± 6,5 cm; masa adiposa: 16,0 ± 8,9 kg; contenido mineral óseo: 3,7 ± 0,6 kg; masa muscular: 37,9 ± 5,4 kg; porcentaje de grasa corporal: 17,3 ± 6,8 %; tasa metabólica basal: 1811,4 ± 193,4 kcal) de diferentes niveles competitivos: estatal (n= 42), nacional (n= 26) e internacional (n= 22). Se evaluó la composición corporal a través de bioimpedancia tetrapolar. Para establecer la clasificación se utilizaron los percentiles p10, p25, p50, p75 y p90. Como resultado se obtuvo la siguiente clasificación: <7,7 % (muy bajo); ≥7,7-11,5 % (bajo); 11,6-17,0 % (medio); 17,1-24,0 % (alto) y ≥24,1 % (muy alto). Los atletas de nivel estatal tenían un porcentaje de grasa corporal más alto respecto a los atletas de nivel nacional e internacional (p <0.05). Los puntos de corte propuestos pueden ser útiles para monitorizar la grasa corporal de los atletas de BJJ.


Subject(s)
Humans , Male , Adult , Young Adult , Adipose Tissue/anatomy & histology , Martial Arts , Body Composition , Cross-Sectional Studies , Athletic Performance
2.
Front Psychol ; 11: 589554, 2020.
Article in English | MEDLINE | ID: mdl-33551909

ABSTRACT

To investigate the effects of two different modes of physical activity on body composition, physical fitness, cardiometabolic risk, and psychological responses in female adolescents participating in a multi-disciplinary program. The 12-week randomized intervention included 25-adolescents with overweight divided into two groups: sports practice-SPG and functional training-FTG. The SPG intervention was divided into three sports: basketball, handball, and futsal. SPG participants performed one sport 3-times/week, over the course of 1 month. The FTG performed concurrent exercises 3-times/week. This study was registered in Clinical Trials Registry Platform under number: RBR-45ywtg and registered in Local Ethics Committee number: 2,505.200/2018. The intensity of physical exercises-PE was matched between groups by the rating of perceived exertion. The primary outcome was body composition, and secondary outcomes were physical fitness, cardiometabolic risk, and psychological responses. There was a significant time-effect for body mass, body mass index, and low-density lipoprotein (LDL-c), all being reduced. There were increases over time for musculoskeletal mass, aerobic fitness, and high-density lipoprotein (HDL-c) (p < 0.05). There was a group time interaction with body fat percentage being lower post-intervention in the SPG (p < 0.05). No significant differences were observed for the other variables. Both physical activity models were effective in improving a subset of obesity-related health parameters. The findings should be extended by further investigation using more sophisticated measures of energy expenditure. Clinical Trial Registration: https://ensaiosclinicos.gov.br/, identifier: RBR-45ywtg.

3.
Front Physiol ; 10: 1013, 2019.
Article in English | MEDLINE | ID: mdl-31447700

ABSTRACT

The main objective of this study was to investigate the effects of the order of physical exercises on body composition, physical fitness, and cardiometabolic risk in adolescents participating in an interdisciplinary program focusing on the treatment of obesity. The final 12-week analyses involved 33 female adolescents who were split into two groups of concurrent training (CT): resistance plus aerobic training and aerobic plus resistance training, with equalization performed in all physical exercises. The only difference between the two groups was the order in which the exercises were performed. The results showed reductions in fat mass, body fat, and waist circumference, as well as increases in musculoskeletal mass and resting metabolic rate (p < 0.05) following the multiprofessional intervention period. However, no significant differences were observed in regard to body mass, body mass index, neck circumference, or arm circumference (p > 0.05). Maximal isometric strength and maximal oxygen consumption showed significant increases after the intervention period (p < 0.05). There were reductions in insulin, HOMA-IR, total cholesterol, triglycerides, and low-density lipoproteins (p < 0.05), and an interaction within the resistance plus aerobic training group showed lower values for triglycerides when compared to itself (p = 0.002). No difference was found in fasting glycemia for either group (p > 0.05). It is worth noting that the equalization training variables presented no differences between the two groups (p > 0.05). Based on these results, both CT methods were found to be effective in promoting health parameters in overweight and obese female adolescents, and triglyceride values decreased more in the resistance plus aerobic group. Future studies with larger samples and feeding control should be conducted to confirm or refute our findings.

4.
J Exerc Rehabil ; 14(6): 974-979, 2018 Dec.
Article in English | MEDLINE | ID: mdl-30656157

ABSTRACT

Identification of the body fat (BF) percentage allows health professionals to detect healthy or risky patterns in a population. However, no studies have elaborated BF cutoff points using the bioelectrical impedance method in young Brazilian adults. Thus, the objective of the present study was to elaborate normative tables for BF in Brazilian men and women (sedentary and physically active) between 18 and 39 years of age. A total of 3,111 adults (958 men and 2,153 women) were evaluated using bioimpedance measurements with the InBody 520 device. The data were distributed normally and divided into percentiles (P3, P10, P25, P50, P75, P90, and P97). The following values were observed: for men: P3=8.9%-12.5%; P10=12.6%-17.5%; P25=17.6%-25.3%; P50=25.4%-35.1%; P75=35.2%-43.0%; P90=43.1%-49.4% and P97=49.5%; for women: P3=18.7%-23.1%; P10=23.2%-28.7%; P25=28.8%-35.7%; P50=35.8%-42.9%; P75=43.0%-49.1%; P90=49.2%-52.1% and P97≥52.2%. These percentiles can be used to classify the adiposity of sedentary and physically active individuals evaluated by bioimpedanciometry.

SELECTION OF CITATIONS
SEARCH DETAIL
...