Physical Activity and Body Composition

Author(s):  
Angela Andreoli ◽  
Antonino De Lorenzo
JAMA ◽  
1966 ◽  
Vol 197 (11) ◽  
pp. 891-893 ◽  
Author(s):  
L. P. Novak

2010 ◽  
Vol 44 (14) ◽  
pp. i4-i4
Author(s):  
L. Z. Monteiro ◽  
F. A. Pereira ◽  
M. C. Freitas-Foss ◽  
R. M. Montengro ◽  
A. I. A. Medeiros ◽  
...  

2021 ◽  
Vol 11 (11) ◽  
pp. 5063
Author(s):  
Daniel J. Navas Harrison ◽  
Ana María Pérez Pico ◽  
Raquel Mayordomo

Kinanthropometry allows us to analyze variations in physical dimensions and body composition. This study’s objective was to evaluate the kinanthropometric differences based on physical activity performance, depending on whether the lower body or the whole body is more or less potent and the differences with a sedentary population. We analyzed 131 individuals (74 men and 57 women), with an average age of 22.68 ± 2.98 years. We differentiated three populations: sedentary (n = 63), runners (n = 20), and basketball players (n = 48). Measurements and indices were obtained following the international protocol of the International Society for the Advancement of Kinanthropometry (ISAK). The results show differences between the populations regarding weight, height, wingspan, and certain perimeters, diameters, and morphotypes depending on the predominant training type and the sedentary population. These anthropometric measurements will allow the amateur athlete to compare between seasons or other moments of training, pay attention to their evolution, and assess the possibility of changes in training.


2017 ◽  
Vol 17 (2) ◽  
pp. 299-305 ◽  
Author(s):  
Filipe Dinato de Lima ◽  
Martim Bottaro ◽  
Ritielli de Oliveira Valeriano ◽  
Lorena Cruz ◽  
Claudio L. Battaglini ◽  
...  

The purpose of this study was to compare fatigue, strength, body composition, muscle thickness, and muscle quality between Hodgkin’s lymphoma survivors (HLS) and apparently healthy subjects matched by age, gender, and physical activity levels (CON). Twelve HLS (32.16 ± 8.06) and 36 CON (32.42 ± 7.64) were enrolled in the study. Fatigue was assessed using the 20-item Multidimensional Fatigue Inventory, muscle strength using an isokinetic dynamometer, body composition using dual-energy X-ray absorptiometry, and thickness and muscle quality using B-mode ultrasound. Differences between HLS and CON were analyzed using independent samples t tests. No significant differences were observed between groups for any demographic characteristics: age ( P = .922), weight ( P = .943), height ( P = .511), body mass index ( P = .796), fat mass ( P = .688), fat-free mass ( P = .520), and percent body fat ( P = .446). No significant differences were observed for strength (peak torque; P = .552), relative peak torque ( P = .200), muscle thickness ( P > .05) and muscle quality ( P > .05). However, self-perceived fatigue was significantly higher in HLS than in CON ( P = .009). It appears that when HLS are matched by age and physical activity levels to CON, no significant difference in body composition, muscle thickness, muscle quality, or strength is observed. Self-perceived fatigue, as predicted, is higher in HLS, which may have implications and should be considered when prescribing exercise training to this cancer population.


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