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Presentation
Baseline Body Composition Affects Exercise Response: Results from Diabetic and Athletic Populations
2018 ACSM National Conference
  • Natalie Figueroa, University of the Pacific
  • Cynthia Villalobos, University of the Pacific
  • J. Mark Van Ness, University of the Pacific
  • Paul D. Vosti
  • Courtney D. Jensen, University of the Pacific
ORCID
J. Mark Van Ness: 0000-0001-5902-8735
Document Type
Conference Presentation
Department
Health, Exercise, and Sport Sciences Department
Organization
American College of Sports Medicine (ACSM)
Location
Minneapolis, MN
Conference Dates
May 29 - June 2, 2018
Date of Presentation
5-30-2018
Journal Publication
Medicine & Science in Sports & Exercise
DOI
10.1249/01.mss.0000535255.64451.f6
Publication Date
2018-05-01
Abstract

When adults initiate an exercise prescription, approximately 51% do so with a declared goal of weight loss. Decreasing adiposity correlates with disease risk reduction and, in some sport contexts, improved performance. However, exercise adherence is typically poor; within 6 months of engagement, expected attrition exceeds 50%. Those who fail to sustain the practice commonly report being discouraged by a lack of progress. Thus, it is important to identify and understand the variables that influence the rate of fat loss at the onset of an exercise program.

PURPOSE: To evaluate predictors of body composition improvement among diverse exercising populations.

METHODS: We enrolled subjects from two distinct populations: older diabetic patients with no history of exercise (n=67) and college-aged rugby athletes (n=12). Each population underwent baseline testing to assess body fat percent (BF%) prior to and following a period of exercise. The diabetic population performed structured, supervised exercise for 10 weeks; the athletic population performed unsupervised, unstructured exercise for 4 weeks. Multiple linear regression analyses, holding other explanatory variables constant, tested predictors of BF% change.

RESULTS: At baseline, the diabetic patients were 68.3 ± 10.7 years of age, had a body mass index (BMI) of 32.3 ± 6.7 kg/m2, and 39.3 ± 6.9% body fat. The rugby athletes were 19.6 ± 2.0 years of age, had a BMI of 25.2 ± 2.8 kg/m2, and 13.4 ± 4.3% body fat. Among diabetic patients, controlling for potential confounders, each additional point of baseline BF% predicted a 0.18-point reduction in BF% at post-test (p=0.010; 95% CI: -0.32 to -0.05); the overall model was significant (R2=0.395; p=0.002). Among rugby athletes, controlling for potential confounders, each additional point of baseline BF% predicted a 0.33-point reduction in post-test BF% (p=0.042; 95% CI: -0.65 to -0.02).

CONCLUSION: Among exercising diabetic and athletic populations, higher baseline BF% corresponded to greater improvements in body composition throughout the exercise intervention. Among athletic populations, this may mean more rapid improvements in sport performance; for diabetic populations, this may lead to greater improvements in glycemic control.

Citation Information
Natalie Figueroa, Cynthia Villalobos, J. Mark Van Ness, Paul D. Vosti, et al.. "Baseline Body Composition Affects Exercise Response: Results from Diabetic and Athletic Populations" 2018 ACSM National Conference Vol. 50 Iss. 5s (2018) p. 52 - 53 ISSN: 1530-0315
Available at: http://works.bepress.com/courtney-jensen/27/