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- Title
Relaxation Breathing Improves Human Glycemic Response.
- Authors
Wilson, Ted; Baker, Sarah E.; Freeman, Michelle R.; Garbrecht, Mark R.; Ragsdale, Frances R.; Wilson, Daniel A.; Malone, Christopher
- Abstract
Objectives: This study evaluated a simple relaxation breathing exercise for acute improvement of postprandial glycemic and insulinemic status. Design: Healthy human subjects were randomized to control breathing (CB; n=13) or a relaxation breathing exercise (RB; n=13) that was repeated every 10 minutes for the 30 minutes before and 90 minutes after consuming a glucose challenge (oral glucose tolerance test; OGTT; 75 g/240 mL). Blood samples were collected before, and 30, 60, and 90 minutes post OGTT for glucose and insulin analysis. Results: Blood glucose at 0 minutes (pre-OGTT), and 30, 60, and 90 minutes post-OGTT with continued RB was 93.7±1.9, 136.5±8.1, 165.7±8.1, and 130.2±6.9 mg/dL, and 97.1±2.4, 173.1±8.4, 158.7±11.1, and 137.1±10.1 with CB, respectively. RB blood glucose was significantly lower at 30 minutes than CB. Glucose area under the curve (AUC) for CB and RB were not significantly different. Plasma insulin for both CB and RB was significantly increased relative to baseline at 30, 60, and 90 minutes. Insulin values for RB tended to be higher than CB at 30 and 60 minutes, although the difference was not statistically significant. Insulin AUC for CB and RB was not significantly different. Conclusions: Relaxation breathing acutely improves the glycemic response of healthy subjects, and breathing pattern could be important for interpretation of glycemic index measurements.
- Subjects
MINNESOTA; ALTERNATIVE medicine; ANALYSIS of variance; BLOOD sugar; BREATHING exercises; CLINICAL trials; GLUCOSE tolerance tests; INGESTION; INSULIN; MIND &; body therapies; RELAXATION for health; RESEARCH funding; STATISTICAL sampling; STATISTICS; T-test (Statistics); YOGA; DATA analysis; STATISTICAL significance; BODY mass index; RANDOMIZED controlled trials; PRE-tests &; post-tests; REPEATED measures design; DATA analysis software; DESCRIPTIVE statistics
- Publication
Journal of Alternative & Complementary Medicine, 2013, Vol 19, Issue 7, p633
- ISSN
1075-5535
- Publication type
Journal Article
- DOI
10.1089/acm.2012.0603