Stressful Exercise Reveals Hidden Correlations Between Anthropometric Measurements And Cardiovascular Parameters

Document Type

Conference Presentation

Department

Health, Exercise, and Sport Sciences Department

Conference Title

American College of Sports Medicine - Medicine & Science in Sports & Exercise conference

Organization

American College of Sports Medicine

Location

San Francisco, CA

Date of Presentation

5-27-2020

Journal Publication

Medicine & Science in Sports & Exercise

ISSN

0195-9131

DOI

10.1249/01.mss.0000670480.07982.93

Volume

52

Issue

7S

First Page

45

Abstract

Camera-based girth measures paired with multi-spectrum bioelectrical impedance spectroscopy can aid in bodily measurements helpful for assessing composition. Fit3D is a relatively new technology for the determination of anthropometric circumferences. There are known relationships between abdominal obesity and blood pressure, but there are fewer investigations exploring the relationship between peripheral circumferences and cardiovascular parameters. PURPOSE: To evaluate relationships between anthropometric measurements calculated by the Fit3D to pre- and post-exercise blood pressure values. METHODS: 17 subjects (7 female, 10 male) underwent laboratory testing beginning with a body composition assessment by the Fit3D (Fit3D, Inc., USA). Subjects then had resting heart rate and blood pressure recorded, followed by a treadmill VO2 max assessment during which ventilatory threshold was identified using the V-slope method. This value was used to determine work rate in a subsequent 60-minute exercise session. Immediately after exercise, subjects were retested on the Fit3D and had post-exercise values of heart rate and blood pressure collected. Descriptive statistics characterized the study sample; simple linear regressions tested the relationships between anthropometric assessments and cardiovascular parameters. RESULTS: Subjects were 20.5 ± 1.7 years old, weighed 73.8 ± 15.4 kg, had a body fat of 24.2 ± 6.6%, resting heart rate (HR) of 78.1 ± 14.9 bpm, systolic blood pressure (SBP) of 122.8 ± 4.6 mmHg, and diastolic pressure of 74.6 ± 4.9 mmHg. Fit3D-calculated "Body Shape Rating" was unrelated to HR at baseline (p=0.297) but a higher value predicted a lower post-exercise HR (β=-0.691, p=0.033). Resting forearm circumference was unrelated to SBP (p=0.978) and DBP (p=0.539), but post-exercise forearm circumference predicted both SBP (β=1.336, p=0.031) and DBP (β=1.823, p=0.038). Calf circumference was unrelated to SBP, but demonstrated trends with DBP at rest (β=0.942, p=0.033) and post-exercise (β=1.403, p=0.080). Upper arm and upper leg circumferences were unrelated. CONCLUSION: In a condensed age group, stressful exercise seemed to reveal otherwise-hidden correlations between peripheral anthropometric measurements and cardiovascular assessments.

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