Author: Ma Y1, Wu CW2, Peng CK3, Ahn A4, Bertisch SM5, Lipsitz LA6,7, Yeh GY4,8, Manor B6,7, Novak V9, Hausdorff JM10,11,12, Gow B3,8, Wayne PM8
Affiliation:
1Division of Interdisciplinary Medicine and Biotechnology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States. dr.yan.ma@gmail.com.
2National Taiwan Normal University, Department of Mechatronic Engineering, Taipei, Taiwan.
3Division of Interdisciplinary Medicine and Biotechnology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.
4Division of General Medicine and Primary Care, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.
5Department of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.
6Division of Gerontology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.
7Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Roslindale, MA, United States.
8Osher Center for Integrative Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
9Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.
10Center for the Study of Movement, Cognition, and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
11Department of Physical Therapy, Sackler Faculty of Medicine and Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.
12Rush Alzheimer's Disease Center and Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, Illinois, United States.
Conference/Journal: Sci Rep.
Date published: 2019 May 16
Other:
Volume ID: 9 , Issue ID: 1 , Pages: 7500 , Special Notes: doi: 10.1038/s41598-019-43602-y. , Word Count: 207
Measures characterizing the complexity of heart rate (HR) dynamics have been informative in predicting age- and disease-related decline in cardiovascular health, but few studies have evaluated whether mind-body exercise can impact HR complexity. This study evaluated the effects of long-term Tai Chi (TC) practice on the complexity of HR dynamics using an observational comparison of TC experts and age- and gender-matched TC-naïve individuals. Shorter-term effects of TC were assessed by randomly assigning TC-naïve participants to either TC group to receive six months of TC training or to a waitlist control group. 23 TC experts (age = 63.3 ± 8.0 y; 24.6 ± 12.0 y TC experience) and 52 TC-naïve (age = 64.3 ± 7.7 y) were enrolled. In cross-sectional analyses, TC experts had a higher overall complexity index (CI, p = 0.004) and higher entropy at multiple individual time scales (p < 0.05); these findings persisted in models accounting for age, gender, body mass index (BMI), and physical activity levels. Longitudinal changes in complexity index did not differ significantly following random assignment to six months of TC vs. a waitlist control; however, within the TC group, complexity at select time scales showed statistically non-significant trends toward increases. Our study supports that longer-term TC mind-body training may be associated with increased complexity of HR dynamics.
PMID: 31097732 DOI: 10.1038/s41598-019-43602-y