Impact of community-based exercise program participation on aerobic capacity in women with and without breast cancer

Abstract

BACKGROUND Evidence for exercise as an efficacious strategy to improve aerobic capacity of breast cancer survivors (BCS) has come largely from intervention studies conducted in laboratory settings. There is an increasing need to translate to community-type settings, but the efficacy of those interventions using gold standard evaluation is not well-established. AIM To investigate whether similar improvement in aerobic capacity (maximal oxygen consumption [VO 2 ]) measured with gold standard testing can be achieved through a community-based setting in BCS. METHODS A peak cardiopulmonary exercise test (VO 2peak ), 6-min walk test (6MWT), and timed up and go test (TUG) were assessed pre- and post-16 wk of progressive intensity aerobic and strength training exercise at a community center. RESULTS The sample consisted of 31 early BCS (< 1 year since treatment completion) and 15 controls (CTLs). Both groups significantly improved VO 2peak (+1.2 mL/kg/min; P = 0.030), 6MWT (+35 meters; P < 0.001), and TUG (-0.44 s; P < 0.01) following training. Both groups improved peak cycling power during the cardiopulmonary exercise test with BCS improving by +10 watts more than the CTLs ( P = 0.020). Average exercise attendance was 71% (34 of 48 possible days), but compliant days averaged only 60% of total days for aerobic, and < 40% for strength in both groups. CONCLUSION Community-based exercise programs can be an effective strategy to improve aerobic capacity and physical function for early-stage BCS but potentially not to the same extent observed in laboratory-based randomized controlled trials. Further research is needed to explore barriers and facilitators of exercise engagement in community-based centers to maximize training benefits for adults with cancer.

Comparative Study on the Effect of Various Aerobic Exercises on College Students’ Weight Loss Based on Deep Learning Analysis

“…Among them, it has an increasing effect on fat volume, improving insulin, and controlling visceral fat content. By applying the neural network calculation model to exercise weight loss, we can effectively see the effect of weight loss [ 11 ]. At present, Darendeli and others have conducted in-depth research on the definition, classification, causes, harm, and weight loss methods of obesity, and many theories have been quite mature, which provides many useful references for us to grasp and define obesity scientifically in theory [ 12 ].…”