scholarly journals Evaluation of body fat content and osteoarthritis in cats using computed tomography – a novel approach using whole-body imaging

2015 ◽  
Vol 57 (Suppl 1) ◽  
pp. P7
Author(s):  
Cecilia Ley ◽  
Charles J Ley
2013 ◽  
Vol 73 ◽  
pp. 56-80 ◽  
Author(s):  
E.L. Thomas ◽  
J.A. Fitzpatrick ◽  
S.J. Malik ◽  
S.D. Taylor-Robinson ◽  
J.D. Bell

2006 ◽  
Vol 61 (4) ◽  
pp. 365-369 ◽  
Author(s):  
M.A. Sampson ◽  
K.B.M. Colquhoun ◽  
N.L.M. Hennessy

Author(s):  
Carina Zink-Rückel ◽  
Matthias Kohl ◽  
Sebastian Willert ◽  
Simon von Stengel ◽  
Wolfgang Kemmler

Whole-body electromyostimulation (WB-EMS), an innovative training technology, is considered as a joint-friendly, highly customizable and particularly time-effective option for improving muscle strength and stability, body composition and pain relief. The aim of the present study was to determine the effect of 16 weeks of once-weekly WB-EMS on maximum isometric trunk (MITS), leg extensor strength (MILES), lean body mass (LBM) and body-fat content. A cohort of 54 male amateur golfers, 18 to 70 years old and largely representative for healthy adults, were randomly assigned to a WB-EMS (n = 27) or a control group (CG: n = 27). Bipolar low-frequency WB-EMS combined with low-intensity movements was conducted once per week for 20 min at the participants’ locations, while the CG maintained their habitual activity. The intention to treat analysis with multiple imputation was applied. After 16 weeks of once-weekly WB-EMS application with an attendance rate close to 100%, we observed significant WB-EMS effects on MITS (p < 0.001), MILES (p = 0.001), LBM (p = 0.034), but not body-fat content (p = 0.080) and low-back pain (LBP: p ≥ 0.078). In summary, the commercial setting of once-weekly WB-EMS application is effective to enhance stability, maximum strength, body composition and, to a lower extent, LBP in amateur golfers widely representative for a healthy male cohort.


2012 ◽  
Author(s):  
Jun Xia ◽  
Muhammad Chatni ◽  
Konstantin Maslov ◽  
Zijian Guo ◽  
Mark Anastasio ◽  
...  

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