scholarly journals Moderately High Protein Diets During Resistance/Aerobic Exercise Training Improve Body Composition Via Positive Changes in Adiposity But Not Lean Mass Accretion

2015 ◽  
Vol 29 (S1) ◽  
Author(s):  
Susannah Gordon ◽  
Jung Eun Kim ◽  
Eileen Weinheimer‐Haus ◽  
Wayne Campbell
2020 ◽  
Vol 9 (2) ◽  
pp. 522
Author(s):  
Ulrike H. Mitchell ◽  
Bruce Bailey ◽  
Patrick J. Owen

Aerobic exercise training has many known cardiovascular benefits that may promote healthy aging. It is not known if long-term aerobic exercise training is also associated with structural benefits (e.g., lower fat mass, higher areal bone mineral density (BMD) and greater muscle mass). We evaluated these parameters in middle-aged long-term endurance runners compared to sex-, age-, height-, and weight-matched non-running controls. Total and regional lean and fat mass and areal BMD were assessed by dual-energy X-ray absorptiometry. Sagittal magnetic resonance images captured the cross-sectional area and thickness of the lumbar multifidus. Runners (n = 10; all male) had a mean (standard deviation; SD) age of 49 (4) years, height of 178.9 (4.9) cm, weight of 67.8 (5.8) kg, body mass index (BMI) of 21.4 (1.4) kg/m2 and had been running 82.6 (27.9) km/week for 23 (13) years. Controls (n = 9) had a mean (SD) age of 51 (5) years, height of 176.0 (5.1) cm, weight of 72.8 (7.1) kg, and BMI of 23.7 (2.1) kg/m2. BMI was greater in controls (p = 0.010). When compared to controls on average, runners had a 10 percentage-point greater total body lean mass than controls (p = 0.001) and 14% greater trunk lean mass (p = 0.010), as well as less total body (8.6 kg; p < 0.001), arm (58%; p = 0.002), leg (52%; p < 0.001), trunk (73%; p < 0.001), android (91%; p < 0.001), and gynoid fat mass (64%; p < 0.001). No differences were observed between groups for BMD outcomes or multifidus size. These results underscore the benefits of endurance running to body composition that carry over to middle-age.


Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Julie Holden ◽  
Damon Swift ◽  
Neil Johannsen ◽  
Conrad Earnest ◽  
Timothy Church

Hypothesis: Weight gained in response to aerobic exercise represents an increase in lean mass. Methods: Participants from the exercise group (n=68) of the Inflammation and Exercise (INFLAME) study had fat mass, lean mass, and weight measured at baseline and at follow-up. Fat mass and lean mass were measured using DXA. Changes in lean mass and fat mass were quantified across tertiles of weight change in the exercise training group and were analyzed using generalized linear models with adjustment for baseline value. Results: are presented as least squares means with 95% confidence intervals. Results: Overall, participants exhibited a mean (range) weight change of –0.73 kg (–9.00, 7.00; n=68) following exercise training. Tertiles of mean (range) weight change were: tertile 1 (most weight loss) –3.40 kg (–9.00,–1.50; n=23), tertile 2 (some weight loss) –0.70 kg (–1.30, –0.10; n=22), and tertile 3 (weight gain) 1.93 kg (0, 7.00; n=23). For those in tertile 3, we observed a significant increase (p<0.0001) in lean mass of 0.91 kg (95% CI, 0.48, 1.34) compared to those who lost weight −0.85 kg (−1.28,−0.42) in tertile 1 and −0.52 kg (−0.97,−0.08) in tertile 2. However, no significant difference in lean mass change was seen between the two weight loss tertiles. We also observed a significant increase in fat mass in participants who gained weight (tertile 3) 1.07 kg (0.41, 1.73) while those who lost the most weight (tertile 1) −2.55 kg (−3.21,−1.89) had a significant decrease in fat mass. Participants who experienced some weight loss (tertile 2) showed no significant change in fat mass, −0.24 kg (−0.91, 0.44). Conclusion: Weight gained with aerobic exercise training cannot be attributed to increased lean mass only. Our findings suggest that adults who gained weight with exercise showed significant increases in both fat and lean mass.


2015 ◽  
Vol 14 (1) ◽  
Author(s):  
Paula Alves Monteiro ◽  
Kong Y. Chen ◽  
Fabio Santos Lira ◽  
Bruna Thamyres Cicotti Saraiva ◽  
Barbara Moura Mello Antunes ◽  
...  

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